Criteria for the Development of Complex Teaching-Learning Environments.

ERIC Educational Resources Information Center

Achtenhagen, Frank

2001-01-01

Relates aspects of the didactic tradition, especially the German didactic tradition, to the theory and practice of instructional design. Focuses on processes that are necessary to the modeling of reality and describes the design and development of a virtual enterprise as a complex teaching-learning environment in a German business school.…

Learning by Preparing to Teach: Fostering Self-Regulatory Processes and Achievement during Complex Mathematics Problem Solving

ERIC Educational Resources Information Center

Muis, Krista R.; Psaradellis, Cynthia; Chevrier, Marianne; Di Leo, Ivana; Lajoie, Susanne P.

2016-01-01

We developed an intervention based on the learning by teaching paradigm to foster self-regulatory processes and better learning outcomes during complex mathematics problem solving in a technology-rich learning environment. Seventy-eight elementary students were randomly assigned to 1 of 2 conditions: learning by preparing to teach, or learning for…

Modelling a Complex System: Using Novice-Expert Analysis for Developing an Effective Technology-Enhanced Learning Environment

ERIC Educational Resources Information Center

Wu, Hsin-Kai

2010-01-01

The purposes of this article are to present the design of a technology-enhanced learning environment (Air Pollution Modeling Environment [APoME]) that was informed by a novice-expert analysis and to discuss high school students' development of modelling practices in the learning environment. APoME was designed to help high school students…

Creating Next Generation Blended Learning Environments Using Mixed Reality, Video Games and Simulations

ERIC Educational Resources Information Center

Kirkley, Sonny E.; Kirkley, Jamie R.

2005-01-01

In this article, the challenges and issues of designing next generation learning environments using current and emerging technologies are addressed. An overview of the issues is provided as well as design principles that support the design of instruction and the overall learning environment. Specific methods for creating cognitively complex,…

Cognitive Tools for Assessment and Learning in a High Information Flow Environment.

ERIC Educational Resources Information Center

Lajoie, Susanne P.; Azevedo, Roger; Fleiszer, David M.

1998-01-01

Describes the development of a simulation-based intelligent tutoring system for nurses working in a surgical intensive care unit. Highlights include situative learning theories and models of instruction, modeling expertise, complex decision making, linking theories of learning to the design of computer-based learning environments, cognitive task…

Augmented reality in medical education?

PubMed

Kamphuis, Carolien; Barsom, Esther; Schijven, Marlies; Christoph, Noor

2014-09-01

Learning in the medical domain is to a large extent workplace learning and involves mastery of complex skills that require performance up to professional standards in the work environment. Since training in this real-life context is not always possible for reasons of safety, costs, or didactics, alternative ways are needed to achieve clinical excellence. Educational technology and more specifically augmented reality (AR) has the potential to offer a highly realistic situated learning experience supportive of complex medical learning and transfer. AR is a technology that adds virtual content to the physical real world, thereby augmenting the perception of reality. Three examples of dedicated AR learning environments for the medical domain are described. Five types of research questions are identified that may guide empirical research into the effects of these learning environments. Up to now, empirical research mainly appears to focus on the development, usability and initial implementation of AR for learning. Limited review results reflect the motivational value of AR, its potential for training psychomotor skills and the capacity to visualize the invisible, possibly leading to enhanced conceptual understanding of complex causality.

A Methodology for Assessing Learning in Complex and Ill-Structured Task Domains

ERIC Educational Resources Information Center

Spector, J. Michael

2006-01-01

New information and communications technologies and research in cognitive science have led to new ways to think about and implement learning environments. Among these new approaches to instruction and new methods to support learning and performance is an interest in and emphasis on complex subject matter (e.g., complex and dynamic systems…

Teachers as Designers of Collaborative Distance Learning.

ERIC Educational Resources Information Center

Spector, J. Michael

There is an obvious growth in the use of distributed and online learning environments. There is some evidence to believe that collaborative learning environments can be effective, especially when using advanced technology to support learning in and about complex domains. There is also an extensive body of research literature in the areas of…

Action Learning. Symposium 21. [Concurrent Symposium Session at AHRD Annual Conference, 2000.

ERIC Educational Resources Information Center

2000

This document contains three papers from a symposium on action learning that was conducted as part of a conference on human resource development (HRD). "Searching for Meaning in Complex Action Learning Data: What Environments, Acts, and Words Reveal" (Verna J. Willis) analyzes complex action learning documents produced as course…

Achieving Complex Learning Outcomes through Adoption of a Pedagogical Perspective: A Model for Computer Technology Delivered Instruction

ERIC Educational Resources Information Center

Bellard, Breshanica

2018-01-01

Professionals responsible for the delivery of education and training using technology systems and platforms can facilitate complex learning through application of relevant strategies, principles and theories that support how learners learn and that support how curriculum should be designed in a technology based learning environment. Technological…

A Cognitive Load Approach to Collaborative Learning: United Brains for Complex Tasks

ERIC Educational Resources Information Center

Kirschner, Femke; Paas, Fred; Kirschner, Paul A.

2009-01-01

This article presents a review of research comparing the effectiveness of individual learning environments with collaborative learning environments. In reviewing the literature, it was determined that there is no clear and unequivocal picture of how, when, and why the effectiveness of these two approaches to learning differ, a result which may be…

Using Activity Theory to Understand Learning Design Requirements of Patient Self-Management Environments

ERIC Educational Resources Information Center

Schaffer, Scott P.; Reyes, Lisette; Kim, Hannah; Collins, Bart

2010-01-01

Learning designs aimed at supporting transformational change could significantly benefit from the adoption of socio-historical and socio-cultural analysis approaches. Such systemic perspectives are gaining more importance in education as they facilitate understanding of complex interactions between learning environments and human activity. The…

Person-Oriented Approaches to Profiling Learners in Technology-Rich Learning Environments for Ecological Learner Modeling

ERIC Educational Resources Information Center

Jang, Eunice Eunhee; Lajoie, Susanne P.; Wagner, Maryam; Xu, Zhenhua; Poitras, Eric; Naismith, Laura

2017-01-01

Technology-rich learning environments (TREs) provide opportunities for learners to engage in complex interactions involving a multitude of cognitive, metacognitive, and affective states. Understanding learners' distinct learning progressions in TREs demand inquiry approaches that employ well-conceived theoretical accounts of these multiple facets.…

A Knowledge Acquisition Approach to Developing Mindtools for Organizing and Sharing Differentiating Knowledge in a Ubiquitous Learning Environment

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Chu, Hui-Chun; Lin, Yu-Shih; Tsai, Chin-Chung

2011-01-01

Previous studies have reported the importance and benefits of situating students in a real-world learning environment with access to digital-world resources. At the same time, researchers have indicated the need to develop learning guidance mechanisms or tools for assisting students to learn in such a complex learning scenario. In this study, a…

The effects of age, rank and neophobia on social learning in horses.

PubMed

Krueger, Konstanze; Farmer, Kate; Heinze, Jürgen

2014-05-01

Social learning is said to meet the demands of complex environments in which individuals compete over resources and cooperate to share resources. Horses (Equus caballus) were thought to lack social learning skills because they feed on homogenously distributed resources with few reasons for conflict. However, the horse's social environment is complex, which raises the possibility that its capacity for social transfer of feeding behaviour has been underestimated. We conducted a social learning experiment using 30 socially kept horses of different ages. Five horses, one from each group, were chosen as demonstrators, and the remaining 25 horses were designated observers. Observers from each group were allowed to watch their group demonstrator opening a feeding apparatus. We found that young, low-ranking and more exploratory horses learned by observing older members of their own group, and the older the horse, the more slowly it appeared to learn. Social learning may be an adaptive specialisation to the social environment. Older animals may avoid the potential costs of acquiring complex and potentially disadvantageous feeding behaviours from younger group members. We argue that horses show social learning in the context of their social ecology and that research procedures must take such contexts into account. Misconceptions about the horse's sociality may have hampered earlier studies.

Work Placements as Learning Environments for Patient Safety: Finnish and British Preregistration Nursing Students' Important Learning Events

ERIC Educational Resources Information Center

Tella, Susanna; Smith, Nancy-Jane; Partanen, Pirjo; Turunen, Hannele

2016-01-01

Learning to ensure patient safety in complex health care environments is an internationally recognised concern. This article explores and compares Finnish (n = 22) and British (n = 32) pre-registration nursing students' important learning events about patient safety from their work placements in health care organisations. Written descriptions were…

Instructional Designers' Media Selection Practices for Distributed Problem-Based Learning Environments

ERIC Educational Resources Information Center

Fells, Stephanie

2012-01-01

The design of online or distributed problem-based learning (dPBL) is a nascent, complex design problem. Instructional designers are challenged to effectively unite the constructivist principles of problem-based learning (PBL) with appropriate media in order to create quality dPBL environments. While computer-mediated communication (CMC) tools and…

The Design of Technology-Rich Learning Environments as Metacognitive Tools in History Education

ERIC Educational Resources Information Center

Poitras, Eric; Lajoie, Susanne; Hong, Yuan-Jin

2012-01-01

Research has shown that learners do not always engage in appropriate metacognitive and self-regulatory processes while learning complex historical topics. However, little research exists to guide the design of technology-rich learning environments as metacognitive tools in history education. In order to address this issue, we designed a…

The Impact of Social Media on Informal Learning in Museums

ERIC Educational Resources Information Center

Russo, Angelina; Watkins, Jerry; Groundwater-Smith, Susan

2009-01-01

This paper posits that social networking can take a central role in learning in informal environments such as museums, libraries and galleries. It argues that social media offers young people agency previously unavailable in informal learning environments in order to explore complex responses to and participation with cultural content. The paper…

Architectures for Distributed and Complex M-Learning Systems: Applying Intelligent Technologies

ERIC Educational Resources Information Center

Caballe, Santi, Ed.; Xhafa, Fatos, Ed.; Daradoumis, Thanasis, Ed.; Juan, Angel A., Ed.

2009-01-01

Over the last decade, the needs of educational organizations have been changing in accordance with increasingly complex pedagogical models and with the technological evolution of e-learning environments with very dynamic teaching and learning requirements. This book explores state-of-the-art software architectures and platforms used to support…

Designing for Discovery Learning of Complexity Principles of Congestion by Driving Together in the TrafficJams Simulation

ERIC Educational Resources Information Center

Levy, Sharona T.; Peleg, Ran; Ofeck, Eyal; Tabor, Naamit; Dubovi, Ilana; Bluestein, Shiri; Ben-Zur, Hadar

2018-01-01

We propose and evaluate a framework supporting collaborative discovery learning of complex systems. The framework blends five design principles: (1) individual action: amidst (2) social interactions; challenged with (3) multiple tasks; set in (4) a constrained interactive learning environment that draws attention to (5) highlighted target…

Capturing the complexity: Content, type, and amount of instruction and quality of the classroom learning environment synergistically predict third graders’ vocabulary and reading comprehension outcomes

PubMed Central

Connor, Carol McDonald; Spencer, Mercedes; Day, Stephanie L.; Giuliani, Sarah; Ingebrand, Sarah W.; McLean, Leigh; Morrison, Frederick J.

2014-01-01

We examined classrooms as complex systems that affect students’ literacy learning through interacting effects of content and amount of time individual students spent in literacy instruction along with the global quality of the classroom-learning environment. We observed 27 third grade classrooms serving 315 target students using two different observation systems. The first assessed instruction at a more micro-level; specifically, the amount of time individual students spent in literacy instruction defined by the type of instruction, role of the teacher, and content. The second assessed the quality of the classroom-learning environment at a more macro level focusing on classroom organization, teacher responsiveness, and support for vocabulary and language. Results revealed that both global quality of the classroom learning environment and time individual students spent in specific types of literacy instruction covering specific content interacted to predict students’ comprehension and vocabulary gains whereas neither system alone did. These findings support a dynamic systems model of how individual children learn in the context of classroom literacy instruction and the classroom-learning environment, which can help to improve observations systems, advance research, elevate teacher evaluation and professional development, and enhance student achievement. PMID:25400293

Learning Predictive Statistics: Strategies and Brain Mechanisms.

PubMed

Wang, Rui; Shen, Yuan; Tino, Peter; Welchman, Andrew E; Kourtzi, Zoe

2017-08-30

When immersed in a new environment, we are challenged to decipher initially incomprehensible streams of sensory information. However, quite rapidly, the brain finds structure and meaning in these incoming signals, helping us to predict and prepare ourselves for future actions. This skill relies on extracting the statistics of event streams in the environment that contain regularities of variable complexity from simple repetitive patterns to complex probabilistic combinations. Here, we test the brain mechanisms that mediate our ability to adapt to the environment's statistics and predict upcoming events. By combining behavioral training and multisession fMRI in human participants (male and female), we track the corticostriatal mechanisms that mediate learning of temporal sequences as they change in structure complexity. We show that learning of predictive structures relates to individual decision strategy; that is, selecting the most probable outcome in a given context (maximizing) versus matching the exact sequence statistics. These strategies engage distinct human brain regions: maximizing engages dorsolateral prefrontal, cingulate, sensory-motor regions, and basal ganglia (dorsal caudate, putamen), whereas matching engages occipitotemporal regions (including the hippocampus) and basal ganglia (ventral caudate). Our findings provide evidence for distinct corticostriatal mechanisms that facilitate our ability to extract behaviorally relevant statistics to make predictions. SIGNIFICANCE STATEMENT Making predictions about future events relies on interpreting streams of information that may initially appear incomprehensible. Past work has studied how humans identify repetitive patterns and associative pairings. However, the natural environment contains regularities that vary in complexity from simple repetition to complex probabilistic combinations. Here, we combine behavior and multisession fMRI to track the brain mechanisms that mediate our ability to adapt to changes in the environment's statistics. We provide evidence for an alternate route for learning complex temporal statistics: extracting the most probable outcome in a given context is implemented by interactions between executive and motor corticostriatal mechanisms compared with visual corticostriatal circuits (including hippocampal cortex) that support learning of the exact temporal statistics. Copyright © 2017 Wang et al.

Navigating between Scylla and Charybdis: The Odyssean Leader in a Complex Environment

DTIC Science & Technology

2008-10-21

of action capable of being shared across the organization). See also David A. Kolb , Experiential Learning : Experience as the Source of Learning ...Army GHQ Maneuvers of 1941. Washington D.C.: United States Army Center of Military History, 1991. Kolb , David A. Experiential Learning : Experience...ABSTRACT See Abstract 15. SUBJECT TERMS Leadership, organizational design, complexity, organizational theory , learning organization 16. SECURITY

U.S. Army Research Institute Program in Basic Research - FY 2007

DTIC Science & Technology

2008-05-01

learner characteristics (e.g., cognitive ability or learning style), depth and complexity of content, or instructional design characteristics. There...trainers to think about ways of making learning purposeful. The effects of cognitive load on learning were minimally explored in the current research...Achievement in Complex Learning Environments as a Function of Information Processing Ability , Knowledge, and Self-Control Josep h F . F ag an

Learning challenges of nursing students in clinical environments: A qualitative study in Iran

PubMed Central

Baraz, Shahram; Memarian, Robabeh; Vanaki, Zohreh

2015-01-01

Background: Clinical learning environment is a complex social entity. This environment is effective on the learning process of nursing students in the clinical area. However, learning in clinical environment has several benefits, but it can be challenging, unpredictable, stressful, and constantly changing. In attention to clinical experiences and factors contributing to the learning of these experiences can waste a great deal of time and energy, impose heavy financial burden on educational systems, cause mental, familial and educational problems for students, and compromise the quality of patient care. Therefore, this study was carried out with the goal of determining the learning challenges of nursing students in clinical environments in Iran. Materials and Methods: In this qualitative study carried out in 2012–2013, 18 undergraduate nursing students were selected by using purposive sampling method from the Faculty of Nursing and Midwifery of Tehran and Shahid Beheshti Universities. Semi-structured interviews were used to collect data. The content analysis method was used to determine relevant themes. Results: Two themes were derived from the data analysis, which represented the students’ clinical learning challenges. These two themes included insufficient qualification of nursing instructors and unsupportive learning environment. Conclusions: Identification of the students’ clinical learning challenges and actions to remove or modify them will create more learning opportunities for the students, improve the achievement of educational goals, provide training to nursing students with the needed competencies to meet the complex demands of caring and for application of theories in practice, and improve the quality of healthcare services. PMID:26430679

Foraging Ecology Predicts Learning Performance in Insectivorous Bats

PubMed Central

Clarin, Theresa M. A.; Ruczyński, Ireneusz; Page, Rachel A.

2013-01-01

Bats are unusual among mammals in showing great ecological diversity even among closely related species and are thus well suited for studies of adaptation to the ecological background. Here we investigate whether behavioral flexibility and simple- and complex-rule learning performance can be predicted by foraging ecology. We predict faster learning and higher flexibility in animals hunting in more complex, variable environments than in animals hunting in more simple, stable environments. To test this hypothesis, we studied three closely related insectivorous European bat species of the genus Myotis that belong to three different functional groups based on foraging habitats: M. capaccinii, an open water forager, M. myotis, a passive listening gleaner, and M. emarginatus, a clutter specialist. We predicted that M. capaccinii would show the least flexibility and slowest learning reflecting its relatively unstructured foraging habitat and the stereotypy of its natural foraging behavior, while the other two species would show greater flexibility and more rapid learning reflecting the complexity of their natural foraging tasks. We used a purposefully unnatural and thus species-fair crawling maze to test simple- and complex-rule learning, flexibility and re-learning performance. We found that M. capaccinii learned a simple rule as fast as the other species, but was slower in complex rule learning and was less flexible in response to changes in reward location. We found no differences in re-learning ability among species. Our results corroborate the hypothesis that animals’ cognitive skills reflect the demands of their ecological niche. PMID:23755146

Global Channels of Evidence for Learning and Assessment in Complex Game Environments

ERIC Educational Resources Information Center

Nelson, Brian C.; Erlandson, Benjamin; Denham, Andre

2011-01-01

In this paper, we take a designer's look at how the activities and data of learning and assessment can be structured in immersive virtual game environments called Massively Multi-Player Online Games (MMOG). In doing so, we examine the channels of evidence through which learning and assessment activities are derived in MMOGs, offering examples of…

Eye Tracking and Early Detection of Confusion in Digital Learning Environments: Proof of Concept

ERIC Educational Resources Information Center

Pachman, Mariya; Arguel, Amaël; Lockyer, Lori; Kennedy, Gregor; Lodge, Jason M.

2016-01-01

Research on incidence of and changes in confusion during complex learning and problem-solving calls for advanced methods of confusion detection in digital learning environments (DLEs). In this study we attempt to address this issue by investigating the use of multiple measures, including psychophysiological indicators and self-ratings, to detect…

Perceptions of the Effectiveness of System Dynamics-Based Interactive Learning Environments: An Empirical Study

ERIC Educational Resources Information Center

Qudrat-Ullah, Hassan

2010-01-01

The use of simulations in general and of system dynamics simulation based interactive learning environments (SDILEs) in particular is well recognized as an effective way of improving users' decision making and learning in complex, dynamic tasks. However, the effectiveness of SDILEs in classrooms has rarely been evaluated. This article describes…

Design Principles of an Open Agent Architecture for Web-Based Learning Community.

ERIC Educational Resources Information Center

Jin, Qun; Ma, Jianhua; Huang, Runhe; Shih, Timothy K.

A Web-based learning community involves much more than putting learning materials into a Web site. It can be seen as a complex virtual organization involved with people, facilities, and cyber-environment. Tremendous work and manpower for maintaining, upgrading, and managing facilities and the cyber-environment are required. There is presented an…

Designing for Learning: Online Social Networks as a Classroom Environment

ERIC Educational Resources Information Center

Casey, Gail; Evans, Terry

2011-01-01

This paper deploys notions of emergence, connections, and designs for learning to conceptualize high school students' interactions when using online social media as a learning environment. It makes links to chaos and complexity theories and to fractal patterns as it reports on a part of the first author's action research study, conducted while she…

Exploring Relations among College Students' Prior Knowledge, Implicit Theories of Intelligence, and Self-Regulated Learning in a Hypermedia Environment

ERIC Educational Resources Information Center

Greene, Jeffrey Alan; Costa, Lara-Jeane; Robertson, Jane; Pan, Yi; Deekens, Victor M.

2010-01-01

Researchers and educators continue to explore how to assist students in the acquisition of conceptual understanding of complex science topics. While hypermedia learning environments (HLEs) afford unique opportunities to display multiple representations of these often abstract topics, students who do not engage in self-regulated learning (SRL) with…

Moving virtuality into reality: A comparison study of the effectiveness of traditional and alternative assessments of learning in a multisensory, fully immersive physics program

NASA Astrophysics Data System (ADS)

Gamor, Keysha Ingram

This paper contains a research study that investigated the relative efficacy of using both a traditional paper-and-pencil assessment instrument and an alternative, virtual reality (VR) assessment instrument to assist educators and/or instructional designers in measuring learning in a virtual reality learning environment. To this end, this research study investigated assessment in VR, with the goal of analyzing aspects of student learning in VR that are feasible to access or capture by traditional assessments and alternative assessments. The researcher also examined what additional types of learning alternative assessments may offer. More specifically, this study compared the effectiveness of a traditional method with an alternative (performance-based) method of assessment that was used to examine the ability of the tools to accurately evidence the levels of students' understanding and learning. The domain area was electrostatics, a complex, abstract multidimensional concept, with which students often experience difficulty. Outcomes of the study suggest that, in the evaluation of learning in an immersive VR learning environment, assessments would most accurately manifest student learning if the assessment measure matched the learning environment itself. In this study, learning and assessing in the VR environment yielded higher final test scores than learning in VR and testing with traditional paper-and-pencil. Being able to transfer knowledge from a VR environment to other situations is critical in demonstrating the overall level of understanding of a concept. For this reason, the researcher recommends a combination of testing measures to enhance understanding of complex, abstract concepts.

A Case Study in User Support for Managing OpenSim Based Multi User Learning Environments

ERIC Educational Resources Information Center

Perera, Indika; Miller, Alan; Allison, Colin

2017-01-01

Immersive 3D Multi User Learning Environments (MULE) have shown sufficient success to warrant their consideration as a mainstream educational paradigm. These are based on 3D Multi User Virtual Environment platforms (MUVE), and although they have been used for various innovative educational projects their complex permission systems and large…

VBOT: Motivating computational and complex systems fluencies with constructionist virtual/physical robotics

NASA Astrophysics Data System (ADS)

Berland, Matthew W.

As scientists use the tools of computational and complex systems theory to broaden science perspectives (e.g., Bar-Yam, 1997; Holland, 1995; Wolfram, 2002), so can middle-school students broaden their perspectives using appropriate tools. The goals of this dissertation project are to build, study, evaluate, and compare activities designed to foster both computational and complex systems fluencies through collaborative constructionist virtual and physical robotics. In these activities, each student builds an agent (e.g., a robot-bird) that must interact with fellow students' agents to generate a complex aggregate (e.g., a flock of robot-birds) in a participatory simulation environment (Wilensky & Stroup, 1999a). In a participatory simulation, students collaborate by acting in a common space, teaching each other, and discussing content with one another. As a result, the students improve both their computational fluency and their complex systems fluency, where fluency is defined as the ability to both consume and produce relevant content (DiSessa, 2000). To date, several systems have been designed to foster computational and complex systems fluencies through computer programming and collaborative play (e.g., Hancock, 2003; Wilensky & Stroup, 1999b); this study suggests that, by supporting the relevant fluencies through collaborative play, they become mutually reinforcing. In this work, I will present both the design of the VBOT virtual/physical constructionist robotics learning environment and a comparative study of student interaction with the virtual and physical environments across four middle-school classrooms, focusing on the contrast in systems perspectives differently afforded by the two environments. In particular, I found that while performance gains were similar overall, the physical environment supported agent perspectives on aggregate behavior, and the virtual environment supported aggregate perspectives on agent behavior. The primary research questions are: (1) What are the relative affordances of virtual and physical constructionist robotics systems towards computational and complex systems fluencies? (2) What can middle school students learn using computational/complex systems learning environments in a collaborative setting? (3) In what ways are these environments and activities effective in teaching students computational and complex systems fluencies?

Seven "Chilis": Making Visible the Complexities in Leveraging Cultural Repertories of Practice in a Designed Teaching and Learning Environment

ERIC Educational Resources Information Center

DiGiacomo, Daniela Kruel; Gutiérrez, Kris D.

2017-01-01

Drawing upon four years of research within a social design experiment, we focus on how teacher learning can be supported in designed environments that are organized around robust views of learning, culture, and equity. We illustrate both the possibility and difficulty of helping teachers disrupt the default teaching scripts that privilege…

Best Practices for Designing Online Learning Environments for 3D Modeling Curricula: A Delphi Study

ERIC Educational Resources Information Center

Mapson, Kathleen Harrell

2011-01-01

The purpose of this study was to develop an inventory of best practices for designing online learning environments for 3D modeling curricula. Due to the instructional complexity of three-dimensional modeling, few have sought to develop this type of course for online teaching and learning. Considering this, the study aimed to collectively aggregate…

System Thinking Scales and Learning Environment of Family Planning Field Workers in East Java, Indonesia

ERIC Educational Resources Information Center

Listyawardani, Dwi; Hariastuti, Iswari

2016-01-01

Systems thinking is needed due to the growing complexity of the problems faced family planning field workers in the external environment that is constantly changing. System thinking ability could not be separated from efforts to develop learning for the workers, both learning at the individual, group, or organization level. The design of the study…

Design Patterns for Learning and Assessment: Facilitating the Introduction of a Complex Simulation-Based Learning Environment into a Community of Instructors

NASA Astrophysics Data System (ADS)

Frezzo, Dennis C.; Behrens, John T.; Mislevy, Robert J.

2010-04-01

Simulation environments make it possible for science and engineering students to learn to interact with complex systems. Putting these capabilities to effective use for learning, and assessing learning, requires more than a simulation environment alone. It requires a conceptual framework for the knowledge, skills, and ways of thinking that are meant to be developed, in order to design activities that target these capabilities. The challenges of using simulation environments effectively are especially daunting in dispersed social systems. This article describes how these challenges were addressed in the context of the Cisco Networking Academies with a simulation tool for computer networks called Packet Tracer. The focus is on a conceptual support framework for instructors in over 9,000 institutions around the world for using Packet Tracer in instruction and assessment, by learning to create problem-solving scenarios that are at once tuned to the local needs of their students and consistent with the epistemic frame of "thinking like a network engineer." We describe a layered framework of tools and interfaces above the network simulator that supports the use of Packet Tracer in the distributed community of instructors and students.

Learning predictive statistics from temporal sequences: Dynamics and strategies

PubMed Central

Wang, Rui; Shen, Yuan; Tino, Peter; Welchman, Andrew E.; Kourtzi, Zoe

2017-01-01

Human behavior is guided by our expectations about the future. Often, we make predictions by monitoring how event sequences unfold, even though such sequences may appear incomprehensible. Event structures in the natural environment typically vary in complexity, from simple repetition to complex probabilistic combinations. How do we learn these structures? Here we investigate the dynamics of structure learning by tracking human responses to temporal sequences that change in structure unbeknownst to the participants. Participants were asked to predict the upcoming item following a probabilistic sequence of symbols. Using a Markov process, we created a family of sequences, from simple frequency statistics (e.g., some symbols are more probable than others) to context-based statistics (e.g., symbol probability is contingent on preceding symbols). We demonstrate the dynamics with which individuals adapt to changes in the environment's statistics—that is, they extract the behaviorally relevant structures to make predictions about upcoming events. Further, we show that this structure learning relates to individual decision strategy; faster learning of complex structures relates to selection of the most probable outcome in a given context (maximizing) rather than matching of the exact sequence statistics. Our findings provide evidence for alternate routes to learning of behaviorally relevant statistics that facilitate our ability to predict future events in variable environments. PMID:28973111

Learning predictive statistics from temporal sequences: Dynamics and strategies.

PubMed

Wang, Rui; Shen, Yuan; Tino, Peter; Welchman, Andrew E; Kourtzi, Zoe

2017-10-01

Human behavior is guided by our expectations about the future. Often, we make predictions by monitoring how event sequences unfold, even though such sequences may appear incomprehensible. Event structures in the natural environment typically vary in complexity, from simple repetition to complex probabilistic combinations. How do we learn these structures? Here we investigate the dynamics of structure learning by tracking human responses to temporal sequences that change in structure unbeknownst to the participants. Participants were asked to predict the upcoming item following a probabilistic sequence of symbols. Using a Markov process, we created a family of sequences, from simple frequency statistics (e.g., some symbols are more probable than others) to context-based statistics (e.g., symbol probability is contingent on preceding symbols). We demonstrate the dynamics with which individuals adapt to changes in the environment's statistics-that is, they extract the behaviorally relevant structures to make predictions about upcoming events. Further, we show that this structure learning relates to individual decision strategy; faster learning of complex structures relates to selection of the most probable outcome in a given context (maximizing) rather than matching of the exact sequence statistics. Our findings provide evidence for alternate routes to learning of behaviorally relevant statistics that facilitate our ability to predict future events in variable environments.

Learning Analytics for Networked Learning Models

ERIC Educational Resources Information Center

Joksimovic, Srecko; Hatala, Marek; Gaševic, Dragan

2014-01-01

Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human-human and human-information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to…

Knowledge Organization through Multiple Representations in a Computer-Supported Collaborative Learning Environment

ERIC Educational Resources Information Center

Namdar, Bahadir; Shen, Ji

2018-01-01

Computer-supported collaborative learning (CSCL) environments provide learners with multiple representational tools for storing, sharing, and constructing knowledge. However, little is known about how learners organize knowledge through multiple representations about complex socioscientific issues. Therefore, the purpose of this study was to…

The Relationship between Training Design and Trainee Differences on Training Outcomes: An Experimental Investigation of the Treatment of Socialization and Training Content in the E-Learning Environment

ERIC Educational Resources Information Center

Yanson, Regina

2012-01-01

For e-learning initiatives to succeed, they must be designed to support a variety of trainees, methods, and content. Two important considerations in the design of any learning environment are the complexity of the tasks being learned and the socialization and connections of the trainees. Therefore, the goal of this research was to investigate how…

Stop Talking and Type: Comparing Virtual and Face-to-Face Mentoring in an Epistemic Game

ERIC Educational Resources Information Center

Bagley, E. A.; Shaffer, D. W.

2015-01-01

Research has shown that computer games and other virtual environments can support significant learning gains because they allow young people to explore complex concepts in simulated form. However, in complex problem-solving domains, complex thinking is learned not only by taking action, but also with the aid of mentors who provide guidance in the…

Exploring Distributed Leadership for the Quality Management of Online Learning Environments

ERIC Educational Resources Information Center

Palmer, Stuart; Holt, Dale; Gosper, Maree; Sankey, Michael; Allan, Garry

2013-01-01

Online learning environments (OLEs) are complex information technology (IT) systems that intersect with many areas of university organisation. Distributed models of leadership have been proposed as appropriate for the good governance of OLEs. Based on theoretical and empirical research, a group of Australian universities proposed a framework for…

Architecture for Implementation of a Lifelong Online Learning Environment (LOLE)

ERIC Educational Resources Information Center

Caron, Philippe; Beaudoin, Gregg; Leblanc, Frederic; Grant, Andrew

2007-01-01

This article describes an architecture for the implementation of a lifelong online learning environment (LOLE). The stakeholder independent architecture enables the development of a LOLE system to fulfill the complex requirements of the different actors involved in lifelong education. A particular emphasis is placed on the continuation of a…

Situations, Interaction, Process and Affordances: An Ecological Psychology Perspective.

ERIC Educational Resources Information Center

Young, Michael F.; DePalma, Andrew; Garrett, Steven

2002-01-01

From an ecological psychology perspective, a full analysis of any learning context must acknowledge the complex nonlinear dynamics that unfold as an intentionally-driven learner interacts with a technology-based purposefully designed learning environment. A full situation model would need to incorporate constraints from the environment and also…

Learning Ecosystem Complexity: A Study on Small-Scale Fishers' Ecological Knowledge Generation

ERIC Educational Resources Information Center

Garavito-Bermúdez, Diana

2018-01-01

Small-scale fisheries are learning contexts of importance for generating, transferring and updating ecological knowledge of natural environments through everyday work practices. The rich knowledge fishers have of local ecosystems is the result of the intimate relationship fishing communities have had with their natural environments across…

Using Asynchronous AV Communication Tools to Increase Academic Self-Efficacy

ERIC Educational Resources Information Center

Girasoli, Anthony J.; Hannafin, Robert D.

2008-01-01

Technology-enhanced learning environments (TELEs) deliver instructional content and provide an array of scaffolding features designed to support independent student learning. TELEs also support teacher efforts to guide student inquiry within these sometimes complex environments. Self-efficacy, defined by Bandura [Bandura, A. (1994). Self-efficacy.…

Formulating Guidelines for Instructional Planning in Technology Enhanced Learning Environments

ERIC Educational Resources Information Center

Lim, Cher Ping

2009-01-01

Several studies have shown the complexities that teachers faced when planning for instruction in technology enhanced learning environments (TELE). Although classroom-oriented instructional development (ID) models have the potential to help teachers think and plan for effective instruction with technology, teachers are often reluctant to use these…

Digital Games as Multirepresentational Environments for Science Learning: Implications for Theory, Research, and Design

ERIC Educational Resources Information Center

Virk, Satyugjit; Clark, Douglas; Sengupta, Pratim

2015-01-01

Environments in which learning involves coordinating multiple external representations (MERs) can productively support learners in making sense of complex models and relationships. Educational digital games provide an increasing popular medium for engaging students in manipulating and exploring such models and relationships. This article applies…

Supporting Teacher Orchestration in Ubiquitous Learning Environments: A Study in Primary Education

ERIC Educational Resources Information Center

Muñoz-Cristóbal, Juan A.; Jorrín-Abellán, Iván M.; Asensio-Pérez, Juan I.; Martínez-Monés, Alejandra; Prieto, Luis P.; Dimitriadis, Yannis

2015-01-01

During the last decades, educational contexts have transformed into complex technological and social ecologies, with mobile devices expanding the scope of education beyond the traditional classroom, creating so-called Ubiquitous Learning Environments (ULEs). However, these new technological opportunities entail an additional burden for teachers,…

Designing new collaborative learning spaces in clinical environments: experiences from a children's hospital in Australia.

PubMed

Bines, Julie E; Jamieson, Peter

2013-09-01

Hospitals are complex places that provide a rich learning environment for students, staff, patients and their families, professional groups and the community. The "new" Royal Children's Hospital opened in late 2011. Its mission is focused on improving health and well-being of children and adolescents through leadership in healthcare, research and education. Addressing the need to create "responsive learning environments" aligned with the shift to student-centred pedagogy, two distinct learning environments were developed within the new Royal Children's Hospital; (i) a dedicated education precinct providing a suite of physical environments to promote a more active, collaborative and social learning experience for education and training programs conducted on the Royal Children's Hospital campus and (ii) a suite of learning spaces embedded within clinical areas so that learning becomes an integral part of the daily activities of this busy Hospital environment. The aim of this article is to present the overarching educational principles that lead the design of these learning spaces and describe the opportunities and obstacles encountered in the development of collaborative learning spaces within a large hospital development.

Moving Students to Deeper Learning in Leadership

ERIC Educational Resources Information Center

Stover, Sheri; Seemiller, Corey

2017-01-01

The world is a volatile, uncertain, complex, and ambiguous (VUCA) environment (Carvan, 2015) that calls for leaders who can effectively navigate the complexity of leadership today. Students of leadership studies must not only learn leadership information content, but also be able to effectively implement the content and process, requiring deep…

Successfully Carrying out Complex Learning-Tasks through Guiding Teams' Qualitative and Quantitative Reasoning

ERIC Educational Resources Information Center

Slof, B.; Erkens, G.; Kirschner, P. A.; Janssen, J.; Jaspers, J. G. M.

2012-01-01

This study investigated whether and how scripting learners' use of representational tools in a computer supported collaborative learning (CSCL)-environment fostered their collaborative performance on a complex business-economics task. Scripting the problem-solving process sequenced and made its phase-related part-task demands explicit, namely…

Next-Generation Environments for Assessing and Promoting Complex Science Learning

ERIC Educational Resources Information Center

Quellmalz, Edys S.; Davenport, Jodi L.; Timms, Michael J.; DeBoer, George E.; Jordan, Kevin A.; Huang, Chun-Wei; Buckley, Barbara C.

2013-01-01

How can assessments measure complex science learning? Although traditional, multiple-choice items can effectively measure declarative knowledge such as scientific facts or definitions, they are considered less well suited for providing evidence of science inquiry practices such as making observations or designing and conducting investigations.…

Examining the Potential of Web-Based Multimedia to Support Complex Fine Motor Skill Learning: An Empirical Study

ERIC Educational Resources Information Center

Papastergiou, Marina; Pollatou, Elisana; Theofylaktou, Ioannis; Karadimou, Konstantina

2014-01-01

Research on the utilization of the Web for complex fine motor skill learning that involves whole body movements is still scarce. The aim of this study was to evaluate the impact of the introduction of a multimedia web-based learning environment, which was targeted at a rhythmic gymnastics routine consisting of eight fine motor skills, into an…

Exhibiting the Field for Learning: Telling New York's Stories

ERIC Educational Resources Information Center

Saunders, Angharad

2011-01-01

This paper explores the challenges of engaging and assessing students in residential field learning. Fieldwork presents students with complex learning environments, wherein they are asked to participate in a variety of learning activities. Difficulties arise, however, over how to sustain engagement in field learning while simultaneously capturing…

Factors Influencing Learning Environments in an Integrated Experiential Program

NASA Astrophysics Data System (ADS)

Koci, Peter

The research conducted for this dissertation examined the learning environment of a specific high school program that delivered the explicit curriculum through an integrated experiential manner, which utilized field and outdoor experiences. The program ran over one semester (five months) and it integrated the grade 10 British Columbian curriculum in five subjects. A mixed methods approach was employed to identify the students' perceptions and provide richer descriptions of their experiences related to their unique learning environment. Quantitative instruments were used to assess changes in students' perspectives of their learning environment, as well as other supporting factors including students' mindfulness, and behaviours towards the environment. Qualitative data collection included observations, open-ended questions, and impromptu interviews with the teacher. The qualitative data describe the factors and processes that influenced the learning environment and give a richer, deeper interpretation which complements the quantitative findings. The research results showed positive scores on all the quantitative measures conducted, and the qualitative data provided further insight into descriptions of learning environment constructs that the students perceived as most important. A major finding was that the group cohesion measure was perceived by students as the most important attribute of their preferred learning environment. A flow chart was developed to help the researcher conceptualize how the learning environment, learning process, and outcomes relate to one another in the studied program. This research attempts to explain through the consideration of this case study: how learning environments can influence behavioural change and how an interconnectedness among several factors in the learning process is influenced by the type of learning environment facilitated. Considerably more research is needed in this area to understand fully the complexity learning environments and how they influence learning and behaviour. Keywords: learning environments; integrated experiential programs; environmental education.

Learning to soar in turbulent environments

PubMed Central

Reddy, Gautam; Celani, Antonio; Sejnowski, Terrence J.; Vergassola, Massimo

2016-01-01

Birds and gliders exploit warm, rising atmospheric currents (thermals) to reach heights comparable to low-lying clouds with a reduced expenditure of energy. This strategy of flight (thermal soaring) is frequently used by migratory birds. Soaring provides a remarkable instance of complex decision making in biology and requires a long-term strategy to effectively use the ascending thermals. Furthermore, the problem is technologically relevant to extend the flying range of autonomous gliders. Thermal soaring is commonly observed in the atmospheric convective boundary layer on warm, sunny days. The formation of thermals unavoidably generates strong turbulent fluctuations, which constitute an essential element of soaring. Here, we approach soaring flight as a problem of learning to navigate complex, highly fluctuating turbulent environments. We simulate the atmospheric boundary layer by numerical models of turbulent convective flow and combine them with model-free, experience-based, reinforcement learning algorithms to train the gliders. For the learned policies in the regimes of moderate and strong turbulence levels, the glider adopts an increasingly conservative policy as turbulence levels increase, quantifying the degree of risk affordable in turbulent environments. Reinforcement learning uncovers those sensorimotor cues that permit effective control over soaring in turbulent environments. PMID:27482099

Learning to soar in turbulent environments.

PubMed

Reddy, Gautam; Celani, Antonio; Sejnowski, Terrence J; Vergassola, Massimo

2016-08-16

Birds and gliders exploit warm, rising atmospheric currents (thermals) to reach heights comparable to low-lying clouds with a reduced expenditure of energy. This strategy of flight (thermal soaring) is frequently used by migratory birds. Soaring provides a remarkable instance of complex decision making in biology and requires a long-term strategy to effectively use the ascending thermals. Furthermore, the problem is technologically relevant to extend the flying range of autonomous gliders. Thermal soaring is commonly observed in the atmospheric convective boundary layer on warm, sunny days. The formation of thermals unavoidably generates strong turbulent fluctuations, which constitute an essential element of soaring. Here, we approach soaring flight as a problem of learning to navigate complex, highly fluctuating turbulent environments. We simulate the atmospheric boundary layer by numerical models of turbulent convective flow and combine them with model-free, experience-based, reinforcement learning algorithms to train the gliders. For the learned policies in the regimes of moderate and strong turbulence levels, the glider adopts an increasingly conservative policy as turbulence levels increase, quantifying the degree of risk affordable in turbulent environments. Reinforcement learning uncovers those sensorimotor cues that permit effective control over soaring in turbulent environments.

Lifelong Transfer Learning for Heterogeneous Teams of Agents in Sequential Decision Processes

DTIC Science & Technology

2016-06-01

making (SDM) tasks in dynamic environments with simulated and physical robots . 15. SUBJECT TERMS Sequential decision making, lifelong learning, transfer...sequential decision-making (SDM) tasks in dynamic environments with both simple benchmark tasks and more complex aerial and ground robot tasks. Our work...and ground robots in the presence of disturbances: We applied our methods to the problem of learning controllers for robots with novel disturbances in

Nursing students learning the pharmacology of diabetes mellitus with complexity-based computerized models: A quasi-experimental study.

PubMed

Dubovi, Ilana; Dagan, Efrat; Sader Mazbar, Ola; Nassar, Laila; Levy, Sharona T

2018-02-01

Pharmacology is a crucial component of medications administration in nursing, yet nursing students generally find it difficult and self-rate their pharmacology skills as low. To evaluate nursing students learning pharmacology with the Pharmacology Inter-Leaved Learning-Cells environment, a novel approach to modeling biochemical interactions using a multiscale, computer-based model with a complexity perspective based on a small set of entities and simple rules. This environment represents molecules, organelles and cells to enhance the understanding of cellular processes, and combines these cells at a higher scale to obtain whole-body interactions. Sophomore nursing students who learned the pharmacology of diabetes mellitus with the Pharmacology Inter-Leaved Learning-Cells environment (experimental group; n=94) or via a lecture-based curriculum (comparison group; n=54). A quasi-experimental pre- and post-test design was conducted. The Pharmacology-Diabetes-Mellitus questionnaire and the course's final exam were used to evaluate students' knowledge of the pharmacology of diabetes mellitus. Conceptual learning was significantly higher for the experimental than for the comparison group for the course final exam scores (unpaired t=-3.8, p<0.001) and for the Pharmacology-Diabetes-Mellitus questionnaire (U=942, p<0.001). The largest effect size for the Pharmacology-Diabetes-Mellitus questionnaire was for the medication action subscale. Analysis of complex-systems component reasoning revealed a significant difference for micro-macro transitions between the levels (F(1, 82)=6.9, p<0.05). Learning with complexity-based computerized models is highly effective and enhances the understanding of moving between micro and macro levels of the biochemical phenomena, this is then related to better understanding of medication actions. Moreover, the Pharmacology Inter-Leaved Learning-Cells approach provides a more general reasoning scheme for biochemical processes, which enhances pharmacology learning beyond the specific topic learned. The present study implies that deeper understanding of pharmacology will support nursing students' clinical decisions and empower their proficiency in medications administration. Copyright © 2017 Elsevier Ltd. All rights reserved.

Multimodal Research: Addressing the Complexity of Multimodal Environments and the Challenges for CALL

ERIC Educational Resources Information Center

Tan, Sabine; O'Halloran, Kay L.; Wignell, Peter

2016-01-01

Multimodality, the study of the interaction of language with other semiotic resources such as images and sound resources, has significant implications for computer assisted language learning (CALL) with regards to understanding the impact of digital environments on language teaching and learning. In this paper, we explore recent manifestations of…

Exploring the Complex Computer-Mediated Communication Needs of Learners in a Multilingual, Multicultural Online Learning Environment

ERIC Educational Resources Information Center

Burger, William Peter

2013-01-01

The purpose of this study was to understand student perceptions of social presence that resulted from communicating and collaborating via different forms of Internet-based communication technologies in a diverse, multicultural, multilingual online learning environment. In that it describes how non-native English speaking students from different…

Cracking Her Codes: Understanding Shared Technology Resources as Positioning Artifacts for Power and Status in CSCL Environments

ERIC Educational Resources Information Center

Simpson, Amber; Bannister, Nicole; Matthews, Gretchen

2017-01-01

There is a positive relationship between student participation in computer-supported collaborative learning (CSCL) environments and improved complex problem-solving strategies, increased learning gains, higher engagement in the thinking of their peers, and an enthusiastic disposition toward groupwork. However, student participation varies from…

Thematic Analysis of the "Games" Students Play in Asynchronous Learning Environments

ERIC Educational Resources Information Center

MacMillan, Thalia; Forte, Michele; Grant, Cynthia

2014-01-01

The dynamics of the student-student relationship within the asynchronous online classroom, as evidenced by conversations in an online discussion board, is a balancing act potentially more complex than those occurring in real-time. In order for learning to truly be considered effective, a collaborative, safe environment needs to exist among…

A Technology-Enhanced Intervention for Self-Regulated Learning in Science

ERIC Educational Resources Information Center

Berglas-Shapiro, Tali; Eylon, Bat-Sheva; Scherz, Zahava

2017-01-01

This article describes the development of a technology-enhanced self-regulated learning (Te- SRL) environment designed to foster students' SRL of complex science topics. The environment consists of three components, one of which is a specially designed computerized system that offers students a choice between different types of scaffolding and…

Open-Ended Learning Environments: A Theoretical Framework and Model for Design.

ERIC Educational Resources Information Center

Hill, Janette R.; Land, Susan M.

This paper presents a framework and model for design of open-ended learning environments (OELEs). First, an overview is presented that addresses key characteristics of OELEs, including: use of meaningful, complex contexts; provision of tools and resources; learner reflection and self-monitoring; and social, material, or technological scaffolding.…

Controlling Uncertainty: A Review of Human Behavior in Complex Dynamic Environments

ERIC Educational Resources Information Center

Osman, Magda

2010-01-01

Complex dynamic control (CDC) tasks are a type of problem-solving environment used for examining many cognitive activities (e.g., attention, control, decision making, hypothesis testing, implicit learning, memory, monitoring, planning, and problem solving). Because of their popularity, there have been many findings from diverse domains of research…

Sustainability Learning through Gaming: An Exploratory Study

ERIC Educational Resources Information Center

Fabricatore, Carlo; Lopez, Ximena

2012-01-01

This study explored the potential of digital games as learning environments to develop mindsets capable of dealing with complexity in the domain of sustainability. Building sustainable futures requires the ability to deal with the complex dynamics that characterize the world in which we live. As central elements in this system, we must develop the…

M-Learning--On Path to Integration with Organisation Systems

ERIC Educational Resources Information Center

Srivastava, Shilpa; Gulati, Ved Prakash

2014-01-01

Learning is essential in organizations for them to survive. However, given the changing environment owing to global inter-connectedness, mobile workforce, global unpredictability and complexities, the learning approach must also change. Today the Learning and Development unit must be able to facilitate collaborative work, develop learning…

Conceptual Learning with Multiple Graphical Representations: Intelligent Tutoring Systems Support for Sense-Making and Fluency-Building Processes

ERIC Educational Resources Information Center

Rau, Martina A.

2013-01-01

Most learning environments in the STEM disciplines use multiple graphical representations along with textual descriptions and symbolic representations. Multiple graphical representations are powerful learning tools because they can emphasize complementary aspects of complex learning contents. However, to benefit from multiple graphical…

Reconceptualizing Design Research in the Age of Mobile Learning

ERIC Educational Resources Information Center

Bannan, Brenda; Cook, John; Pachler, Norbert

2016-01-01

The purpose of this paper is to begin to examine how the intersection of mobile learning and design research prompts the reconceptualization of research and design individually as well as their integration appropriate for current, complex learning environments. To fully conceptualize and reconceptualize design research in mobile learning, the…

Envisioning engineering education and practice in the coming intelligence convergence era — a complex adaptive systems approach

NASA Astrophysics Data System (ADS)

Noor, Ahmed K.

2013-12-01

Some of the recent attempts for improving and transforming engineering education are reviewed. The attempts aim at providing the entry level engineers with the skills needed to address the challenges of future large-scale complex systems and projects. Some of the frontier sectors and future challenges for engineers are outlined. The major characteristics of the coming intelligence convergence era (the post-information age) are identified. These include the prevalence of smart devices and environments, the widespread applications of anticipatory computing and predictive / prescriptive analytics, as well as a symbiotic relationship between humans and machines. Devices and machines will be able to learn from, and with, humans in a natural collaborative way. The recent game changers in learnscapes (learning paradigms, technologies, platforms, spaces, and environments) that can significantly impact engineering education in the coming era are identified. Among these are open educational resources, knowledge-rich classrooms, immersive interactive 3D learning, augmented reality, reverse instruction / flipped classroom, gamification, robots in the classroom, and adaptive personalized learning. Significant transformative changes in, and mass customization of, learning are envisioned to emerge from the synergistic combination of the game changers and other technologies. The realization of the aforementioned vision requires the development of a new multidisciplinary framework of emergent engineering for relating innovation, complexity and cybernetics, within the future learning environments. The framework can be used to treat engineering education as a complex adaptive system, with dynamically interacting and communicating components (instructors, individual, small, and large groups of learners). The emergent behavior resulting from the interactions can produce progressively better, and continuously improving, learning environment. As a first step towards the realization of the vision, intelligent adaptive cyber-physical ecosystems need to be developed to facilitate collaboration between the various stakeholders of engineering education, and to accelerate the development of a skilled engineering workforce. The major components of the ecosystems include integrated knowledge discovery and exploitation facilities, blended learning and research spaces, novel ultra-intelligent software agents, multimodal and autonomous interfaces, and networked cognitive and tele-presence robots.

Nursing Faculty Experiences of Virtual Learning Environments for Teaching Clinical Reasoning

ERIC Educational Resources Information Center

Zacharzuk-Marciano, Tara

2017-01-01

Nurses need sharp, clinical reasoning skills to respond to critical situations and to be successful at work in a complex and challenging healthcare system. While past research has focused on using virtual learning environments to teach clinical reasoning, there has been limited research on the experiences of nursing faculty and there is a need for…

Managing Investment in Teaching and Learning Technologies

ERIC Educational Resources Information Center

Coen, Michael; Nicol, David

2007-01-01

Information and communications technologies are radically changing the way that teaching and learning activities are organised and delivered within higher education (HE) institutions. A wide range of technologies is being deployed in quite complex and interactive ways, including virtual learning environments (VLEs), mobile communication…

Roles of Working Memory Performance and Instructional Strategy in Complex Cognitive Task Performance

ERIC Educational Resources Information Center

Cevik, V.; Altun, A.

2016-01-01

This study aims to investigate how working memory (WM) performances and instructional strategy choices affect learners' complex cognitive task performance in online environments. Three different e-learning environments were designed based on Merrill's (2006a) model of instructional strategies. The lack of experimental research on his framework is…

Fostering Self-Regulation in Training Complex Cognitive Tasks

ERIC Educational Resources Information Center

van Meeuwen, Ludo W.; Brand-Gruwel, Saskia; Kirschner, Paul A.; de Bock, Jeano J. P. R.; van Merriënboer, Jeroen J. G.

2018-01-01

In complex cognitive domains such as air traffic control, professionals must be able to adapt to and act upon continuing changes in a highly advanced technological work environment. To function optimally in such an environment, the controllers must be able to regulate their learning. Although these regulation skills should be part of their…

Exploring the Complexity of Classroom Management: 8 Components of Managing a Highly Productive, Safe, and Respectful Urban Environment

ERIC Educational Resources Information Center

Jones, Karrie A.; Jones, Jennifer L.; Vermette, Paul J.

2013-01-01

Creating a learning environment where all students can thrive academically requires an understanding of the complexities of classroom management. The notions of "discipline," "conformity" and "obedience" that have littered discussions of classroom management in the past are no longer sufficient to describe the diverse…

Learning in Complex Environments: The Effects of Background Speech on Early Word Learning

ERIC Educational Resources Information Center

McMillan, Brianna T. M.; Saffran, Jenny R.

2016-01-01

Although most studies of language learning take place in quiet laboratory settings, everyday language learning occurs under noisy conditions. The current research investigated the effects of background speech on word learning. Both younger (22- to 24-month-olds; n = 40) and older (28- to 30-month-olds; n = 40) toddlers successfully learned novel…

Seamless Connection between Learning and Assessment--Applying Progressive Learning Tasks in Mobile Ecology Inquiry

ERIC Educational Resources Information Center

Hung, Pi-Hsia; Hwang, Gwo-Jen; Lin, Yu-Fen; Wu, Tsung-Hsun; Su, I-Hsiang

2013-01-01

Mobile learning has been recommended for motivating students on field trips; nevertheless, owing to the complexity and the richness of the learning resources from both the real-world and the digital-world environments, information overload remains one of the major concerns. Most mobile learning designs provide feedback only for multiple choice…

Preparing for Complexity and Wicked Problems through Transformational Learning Approaches

ERIC Educational Resources Information Center

Yukawa, Joyce

2015-01-01

As the information environment becomes increasingly complex and challenging, Library and Information Studies (LIS) education is called upon to nurture innovative leaders capable of managing complex situations and "wicked problems." While disciplinary expertise remains essential, higher levels of mental complexity and adaptive…

Clinical quality needs complex adaptive systems and machine learning.

PubMed

Marsland, Stephen; Buchan, Iain

2004-01-01

The vast increase in clinical data has the potential to bring about large improvements in clinical quality and other aspects of healthcare delivery. However, such benefits do not come without cost. The analysis of such large datasets, particularly where the data may have to be merged from several sources and may be noisy and incomplete, is a challenging task. Furthermore, the introduction of clinical changes is a cyclical task, meaning that the processes under examination operate in an environment that is not static. We suggest that traditional methods of analysis are unsuitable for the task, and identify complexity theory and machine learning as areas that have the potential to facilitate the examination of clinical quality. By its nature the field of complex adaptive systems deals with environments that change because of the interactions that have occurred in the past. We draw parallels between health informatics and bioinformatics, which has already started to successfully use machine learning methods.

Learning Probabilistic Features for Robotic Navigation Using Laser Sensors

PubMed Central

Aznar, Fidel; Pujol, Francisco A.; Pujol, Mar; Rizo, Ramón; Pujol, María-José

2014-01-01

SLAM is a popular task used by robots and autonomous vehicles to build a map of an unknown environment and, at the same time, to determine their location within the map. This paper describes a SLAM-based, probabilistic robotic system able to learn the essential features of different parts of its environment. Some previous SLAM implementations had computational complexities ranging from O(Nlog(N)) to O(N 2), where N is the number of map features. Unlike these methods, our approach reduces the computational complexity to O(N) by using a model to fuse the information from the sensors after applying the Bayesian paradigm. Once the training process is completed, the robot identifies and locates those areas that potentially match the sections that have been previously learned. After the training, the robot navigates and extracts a three-dimensional map of the environment using a single laser sensor. Thus, it perceives different sections of its world. In addition, in order to make our system able to be used in a low-cost robot, low-complexity algorithms that can be easily implemented on embedded processors or microcontrollers are used. PMID:25415377

Learning probabilistic features for robotic navigation using laser sensors.

PubMed

Aznar, Fidel; Pujol, Francisco A; Pujol, Mar; Rizo, Ramón; Pujol, María-José

2014-01-01

SLAM is a popular task used by robots and autonomous vehicles to build a map of an unknown environment and, at the same time, to determine their location within the map. This paper describes a SLAM-based, probabilistic robotic system able to learn the essential features of different parts of its environment. Some previous SLAM implementations had computational complexities ranging from O(Nlog(N)) to O(N(2)), where N is the number of map features. Unlike these methods, our approach reduces the computational complexity to O(N) by using a model to fuse the information from the sensors after applying the Bayesian paradigm. Once the training process is completed, the robot identifies and locates those areas that potentially match the sections that have been previously learned. After the training, the robot navigates and extracts a three-dimensional map of the environment using a single laser sensor. Thus, it perceives different sections of its world. In addition, in order to make our system able to be used in a low-cost robot, low-complexity algorithms that can be easily implemented on embedded processors or microcontrollers are used.

Living and learning in a rural environment: a nursing student perspective.

PubMed

Pront, Leeanne; Kelton, Moira; Munt, Rebecca; Hutton, Alison

2013-03-01

This study investigates the influences on nursing student learning who live and learn in the same rural environment. A declining health workforce has been identified both globally and in Australia, the effects of which have become significantly apparent in the rural nursing sector. In support of rural educational programs the literature portrays rural clinical practice experiences as significant to student learning. However, there is little available research on what influences learning for the nursing student who studies in their own rural community. The aim of this study was to understand what influences student learning in the rural clinical environment. Through a multiple case study design five nursing students and two clinical preceptors from a rural clinical venue were interviewed. The interviews were transcribed and thematically analysed to identify factors that influenced student learning outcomes. The most significant influence on nursing student learning in the rural clinical environment was found to include the environment itself, the complex relationships unique to living and studying in a rural community along with the capacity to link theory to practice. The rural environment influences those in it, the demands placed on them, the relationships they form, the ability to promote learning and the time to teach and learn. Copyright © 2012. Published by Elsevier Ltd.

Inside Out: Detecting Learners' Confusion to Improve Interactive Digital Learning Environments

ERIC Educational Resources Information Center

Arguel, Amaël; Lockyer, Lori; Lipp, Ottmar V.; Lodge, Jason M.; Kennedy, Gregor

2017-01-01

Confusion is an emotion that is likely to occur while learning complex information. This emotion can be beneficial to learners in that it can foster engagement, leading to deeper understanding. However, if learners fail to resolve confusion, its effect can be detrimental to learning. Such detrimental learning experiences are particularly…

U.S. Army Research Institute Program in Basic Research-FY 2010

DTIC Science & Technology

2010-11-01

2007). Do learning protocols support learning strategies and outcomes? The role of cognitive and metacognitive prompts. Learning and Instruction ...73 Achievement in Complex Learning Environments as a Function of Information Processing Ability ...Development and Validation of a Situational Judgment Test to Predict Attrition Incrementally Over General Cognitive Ability and a Forced-Choice

The Effectiveness of Using a Student Response System on Baccalaureate Nursing Student Dominant Learning Approach

ERIC Educational Resources Information Center

Rebeschi, Lisa M.

2013-01-01

Professional nurses are challenged to provide high quality, evidence-based care in today's increasingly complex healthcare environment. Thus, nurses need to develop an appreciation for life-long learning. Understanding student approach to learning may provide nurse educators with empirical evidence to support specific teaching/learning strategies…

Learning Styles and Vocational Education Practice. Practice Application Brief.

ERIC Educational Resources Information Center

Brown, Bettina Lankard

Learning styles and the creation of effective learning environments are of emerging significance in education as the changing nature of work requires higher-order thinking skills. Although learning style may be simply defined as the way people come to understand and remember information, the literature is filled with more complex definitions of…

Learning to Cook: Production Learning Environment in Kitchens

ERIC Educational Resources Information Center

James, Susan

2006-01-01

Learning in workplaces is neither ad hoc nor informal. Such labels are a misnomer and do not do justice to the highly-structured nature and complexity of many workplaces where learning takes place. This article discusses the organisational and structural framework developed from a three-year doctoral study into how apprentice chefs construct their…

An Investigation of the Role of Contingent Metacognitive Behavior in Self-Regulated Learning

ERIC Educational Resources Information Center

Binbasaran Tuysuzoglu, Banu; Greene, Jeffrey Alan

2015-01-01

Studies have shown that, to achieve a conceptual understanding of complex science topics, learners need to use self-regulated learning (SRL) skills, particularly when learning with Hypermedia Learning Environments (HLEs). Winne and Hadwin (2008) claimed that metacognition is a key aspect of SRL, particularly metacognitive monitoring and control.…

Facilitative and obstructive factors in the clinical learning environment: Experiences of pupil enrolled nurses.

PubMed

Lekalakala-Mokgele, Eucebious; Caka, Ernestine M

2015-03-31

The clinical learning environment is a complex social entity that influences student learning outcomes in the clinical setting. Students can experience the clinical learning environment as being both facilitative and obstructive to their learning. The clinical environment may be a source of stress, creating feelings of fear and anxiety which in turn affect the students' responses to learning. Equally, the environment can enhance learning if experienced positively. This study described pupil enrolled nurses' experiences of facilitative and obstructive factors in military and public health clinical learning settings. Using a qualitative, contextual, exploratory descriptive design, three focus group interviews were conducted until data saturation was reached amongst pupil enrolled nurses in a military School of Nursing. Data analysed provided evidence that acceptance by clinical staff and affordance of self-directed learning facilitated learning. Students felt safe to practise when they were supported by the clinical staff. They felt a sense of belonging when the staff showed an interest in and welcomed them. Learning was obstructed when students were met with condescending comments. Wearing of a military uniform in the public hospital and horizontal violence obstructed learning in the clinical learning environment. Students cannot have effective clinical preparation if the environment is not conducive to and supportive of clinical learning, The study shows that military nursing students experience unique challenges as they are trained in two professions that are hierarchical in nature. The students experienced both facilitating and obstructing factors to their learning during their clinical practice. Clinical staff should be made aware of factors which can impact on students' learning. Policies need to be developed for supporting students in the clinical learning environment.

Influences of Gender and Computer Gaming Experience in Occupational Desktop Virtual Environments: A Cross-Case Analysis Study

ERIC Educational Resources Information Center

Ausburn, Lynna J.; Ausburn, Floyd B.; Kroutter, Paul J.

2013-01-01

This study used a cross-case analysis methodology to compare four line-of-inquiry studies of desktop virtual environments (DVEs) to examine the relationships of gender and computer gaming experience to learning performance and perceptions. Comparison was made of learning patterns in a general non-technical DVE with patterns in technically complex,…

The Interface Design and the Usability Testing of a Fossilization Web-Based Learning Environment

ERIC Educational Resources Information Center

Wang, Shiang-Kwei; Yang, Chiachi

2005-01-01

This article describes practical issues related to the design and the development of a Web-Based Learning Environment (Web-LE) for high school students. The purpose of the Fossilization Web-LE was to help students understand the process of fossilization, which is a complex phenomenon and is affected by many factors. The instructional design team…

A Novel Approach to Exploring the Concept of Resilience and Principal Drivers in a Learning Environment

ERIC Educational Resources Information Center

Matzenberger, Julian

2013-01-01

Purpose: The concept of resilience has emerged recently in scientific debate. The aim of this paper is to outline different notions of the term resilience and explore how the concept of resilience can be applied in order to foster the understanding of complex systems in a learning environment. Design/methodology/approach: Characteristics of the…

Game Design Narrative for Learning: Appropriating Adventure Game Design Narrative Devices and Techniques for the Design of Interactive Learning Environments

ERIC Educational Resources Information Center

Dickey, Michele D.

2006-01-01

The purpose of this conceptual analysis is to investigate how contemporary video and computer games might inform instructional design by looking at how narrative devices and techniques support problem solving within complex, multimodal environments. Specifically, this analysis presents a brief overview of game genres and the role of narrative in…

A Typology of Agency in New Generation Learning Environments: Emerging Relational, Ecological and New Material Considerations

ERIC Educational Resources Information Center

Charteris, Jennifer; Smardon, Dianne

2018-01-01

The impetus to move to a new generation learning environments places a spotlight on the relational dynamics of classroom spaces. A key feature is the notion of learner agency. A complex notion, learner agency involves both compliance with and resistance to classroom norms and therefore is far more sophisticated than acting in acquiescence to…

Toward an Integrated Online Learning Environment

NASA Astrophysics Data System (ADS)

Teodorescu, Raluca E.; Pawl, Andrew; Rayyan, Saif; Barrantes, Analia; Pritchard, David E.

2010-10-01

We are building in LON-CAPA an integrated learning environment that will enable the development, dissemination and evaluation of PER-based material. This environment features a collection of multi-level research-based homework sets organized by topic and cognitive complexity. These sets are associated with learning modules that contain very short exposition of the content supplemented by integrated open-access videos, worked examples, simulations, and tutorials (some from ANDES). To assess students' performance accurately with respect to a system-wide standard, we plan to implement Item Response Theory. Together with other PER assessments and purposeful solicitation of student feedback, this will allow us to measure and improve the efficacy of various research-based materials, while getting insights into teaching and learning.

Human Aided Reinforcement Learning in Complex Environments

DTIC Science & Technology

learn to solve tasks through a trial -and- error process. As an agent takes ...task faster andmore accurately, a human expert can be added to the system to guide an agent in solving the task. This project seeks to expand on current...theenvironment, which works particularly well for reactive tasks . In more complex tasks , these systems do not work as intended. The manipulation

Social Media in the Classroom: A Simple yet Complex Hybrid Environment for Students

ERIC Educational Resources Information Center

Casey, Gail

2013-01-01

This article reports on part of the author's PhD action research study. It examines the complexity of features that social media and Web 2.0 offer when combined with face-to-face teaching and learning. Action research was used to help redesign the learning programs of XXX's thirteen Middle Years classes over an eighteen month period. These…

[Distance education: use of the WebCT as a support tool for teaching intravenous therapy in nursing undergraduate programs].

PubMed

Dias, Denise Costa; Cassiani, Silvia Helena De Bortoli

2003-01-01

This investigation focused on a learning environment via internet, through which Intravenous Therapy (IVT) was taught. Due to its complexity, Intravenous Therapy was chosen against numerous subjects to be taught through an e-learning environment, by comprising both technical procedures and conceptual aspects that can be discussed through a virtual learning environment. The objectives of this study were to develop educational material about Intravenous Therapy to guide students through the learning related to intravenous therapy, to have the related educational material evaluated by experts, and to evaluate the students' use of this material, considering difficulties and/or advantages, participation/interaction in this environment, and usability of its tools. The interface used for the internet-based training program was WebCT.

Protocol for a realist review of workplace learning in postgraduate medical education and training.

PubMed

Wiese, Anel; Kilty, Caroline; Bergin, Colm; Flood, Patrick; Fu, Na; Horgan, Mary; Higgins, Agnes; Maher, Bridget; O'Kane, Grainne; Prihodova, Lucia; Slattery, Dubhfeasa; Bennett, Deirdre

2017-01-19

Postgraduate medical education and training (PGMET) is a complex social process which happens predominantly during the delivery of patient care. The clinical learning environment (CLE), the context for PGMET, shapes the development of the doctors who learn and work within it, ultimately impacting the quality and safety of patient care. Clinical workplaces are complex, dynamic systems in which learning emerges from non-linear interactions within a network of related factors and activities. Those tasked with the design and delivery of postgraduate medical education and training need to understand the relationship between the processes of medical workplace learning and these contextual elements in order to optimise conditions for learning. We propose to conduct a realist synthesis of the literature to address the overarching questions; how, why and in what circumstances do doctors learn in clinical environments? This review is part of a funded projected with the overall aim of producing guidelines and recommendations for the design of high quality clinical learning environments for postgraduate medical education and training. We have chosen realist synthesis as a methodology because of its suitability for researching complexity and producing answers useful to policymakers and practitioners. This realist synthesis will follow the steps and procedures outlined by Wong et al. in the RAMESES Publication Standards for Realist Synthesis and the Realist Synthesis RAMESES Training Materials. The core research team is a multi-disciplinary group of researchers, clinicians and health professions educators. The wider research group includes experts in organisational behaviour and human resources management as well as the key stakeholders; doctors in training, patient representatives and providers of PGMET. This study will draw from the published literature and programme, and substantive, theories of workplace learning, to describe context, mechanism and outcome configurations for PGMET. This information will be useful to policymakers and practitioners in PGMET, who will be able to apply our findings within their own contexts. Improving the quality of clinical learning environments can improve the performance, humanism and wellbeing of learners and improve the quality and safety of patient care. The review is not registered with the PROSPERO International Prospective Register of Systematic Reviews as the review objectives relate solely to education outcomes.

Discussion of the enabling environments for decentralised water systems.

PubMed

Moglia, M; Alexander, K S; Sharma, A

2011-01-01

Decentralised water supply systems are becoming increasingly affordable and commonplace in Australia and have the potential to alleviate urban water shortages and reduce pollution into natural receiving marine and freshwater streams. Learning processes are necessary to support the efficient implementation of decentralised systems. These processes reveal the complex socio-technical and institutional factors to be considered when developing an enabling environment supporting decentralised water and wastewater servicing solutions. Critical to the technological transition towards established decentralised systems is the ability to create strategic and adaptive capacity to promote learning and dialogue. Learning processes require institutional mechanisms to ensure the lessons are incorporated into the formulation of policy and regulation, through constructive involvement of key government institutions. Engagement of stakeholders is essential to the enabling environment. Collaborative learning environments using systems analysis with communities (social learning) and adaptive management techniques are useful in refining and applying scientists' and managers' knowledge (knowledge management).

Probing Teachers' Lesson Planning: Promoting Metacognition

ERIC Educational Resources Information Center

Eilam, Billie

2017-01-01

Classrooms are complex systems, with dynamic interactions of different kinds among their composing varied elements. Such complex interactions lead to the system's unpredictable emergent learning behaviors. To support teachers' lesson planning and monitoring in the complex environment of classrooms, the present article examines the core…

Case-Based Learning in Virtual Groups--Collaborative Problem Solving Activities and Learning Outcomes in a Virtual Professional Training Course

ERIC Educational Resources Information Center

Kopp, Birgitta; Hasenbein, Melanie; Mandl, Heinz

2014-01-01

This article analyzes the collaborative problem solving activities and learning outcomes of five groups that worked on two different complex cases in a virtual professional training course. In this asynchronous virtual learning environment, all knowledge management content was delivered virtually and collaboration took place through forums. To…

Relationships between Hong Kong Students' Perceptions of the Learning Environment and Their Learning Patterns in Post-Secondary Education

ERIC Educational Resources Information Center

Law, Dennis C. S.; Meyer, Jan H. F.

2011-01-01

The present study aims to analyse the complex relationships between the relevant constructs of students' demographic background, perceptions, learning patterns and (proxy measures of) learning outcomes in order to delineate the possible direct, indirect, or spurious effects among them. The analytical methodology is substantively framed against the…

A Process-Philosophical Understanding of Organizational Learning as "Wayfinding": Process, Practices and Sensitivity to Environmental Affordances

ERIC Educational Resources Information Center

Chia, Robert

2017-01-01

Purpose: This paper aims to articulate a practice-based, non-cognitivist approach to organizational learning. Design/methodology/approach: This paper explores the potential contribution of a process-based "practice turn" in social theory for understanding organizational learning. Findings: In complex, turbulent environments, robust…

A Design Methodology for Complex (E)-Learning. Innovative Session.

ERIC Educational Resources Information Center

Bastiaens, Theo; van Merrienboer, Jeroen; Hoogveld, Bert

Human resource development (HRD) specialists are searching for instructional design models that accommodate e-learning platforms. Van Merrienboer proposed the four-component instructional design model (4C/ID model) for competency-based education. The model's basic message is that well-designed learning environments can always be described in terms…

Connectionist Learning Procedures.

ERIC Educational Resources Information Center

Hinton, Geoffrey E.

A major goal of research on networks of neuron-like processing units is to discover efficient learning procedures that allow these networks to construct complex internal representations of their environment. The learning procedures must be capable of modifying the connection strengths in such a way that internal units which are not part of the…

Complex Mobile Learning That Adapts to Learners' Cognitive Load

ERIC Educational Resources Information Center

Deegan, Robin

2015-01-01

Mobile learning is cognitively demanding and frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where these fields interact and presents an…

Semantic-Aware Components and Services of ActiveMath

ERIC Educational Resources Information Center

Melis, Erica; Goguadze, Giorgi; Homik, Martin; Libbrecht, Paul; Ullrich, Carsten; Winterstein, Stefan

2006-01-01

ActiveMath is a complex web-based adaptive learning environment with a number of components and interactive learning tools. The basis for handling semantics of learning content is provided by its semantic (mathematics) content markup, which is additionally annotated with educational metadata. Several components, tools and external services can…

Learning in the Making: A Comparative Case Study of Three Makerspaces

ERIC Educational Resources Information Center

Sheridan, Kimberly M.; Halverson, Erica Rosenfeld; Litts, Breanne K.; Brahms, Lisa; Jacobs-Priebe, Lynette; Owens, Trevor

2014-01-01

Through a comparative case study, Sheridan and colleagues explore how makerspaces may function as learning environments. Drawing on field observations, interviews, and analysis of artifacts, videos, and other documents, the authors describe features of three makerspaces and how participants learn and develop through complex design and making…

Preparing new nurses with complexity science and problem-based learning.

PubMed

Hodges, Helen F

2011-01-01

Successful nurses function effectively with adaptability, improvability, and interconnectedness, and can see emerging and unpredictable complex problems. Preparing new nurses for complexity requires a significant change in prevalent but dated nursing education models for rising graduates. The science of complexity coupled with problem-based learning and peer review contributes a feasible framework for a constructivist learning environment to examine real-time systems data; explore uncertainty, inherent patterns, and ambiguity; and develop skills for unstructured problem solving. This article describes a pilot study of a problem-based learning strategy guided by principles of complexity science in a community clinical nursing course. Thirty-five senior nursing students participated during a 3-year period. Assessments included peer review, a final project paper, reflection, and a satisfaction survey. Results were higher than expected levels of student satisfaction, increased breadth and analysis of complex data, acknowledgment of community as complex adaptive systems, and overall higher level thinking skills than in previous years. 2011, SLACK Incorporated.

Examining the Usefulness of Student-Produced PSAs to Learn Advocacy in a Human Behavior and the Social Environment Course

ERIC Educational Resources Information Center

Chu, Yee Han; Quinn, Andrew

2018-01-01

Advocacy is a complex set of applications that applies knowledge of human behavior in the social environment to promote the rights of others. The purpose of this study was to explore the usefulness of student-created public service announcements (PSAs) to help BSW students learn cause-based advocacy. Our results suggest that assigning a PSA…

A qualitative study on trainees' and supervisors' perceptions of assessment for learning in postgraduate medical education.

PubMed

Dijksterhuis, Marja G K; Schuwirth, Lambert W T; Braat, Didi D M; Teunissen, Pim W; Scheele, Fedde

2013-08-01

Recent changes in postgraduate medical training curricula usually encompass a shift towards more formative assessment, or assessment for learning. However, though theoretically well suited to postgraduate training, evidence is emerging that engaging in formative assessment in daily clinical practice is complex. We aimed to explore trainees' and supervisors' perceptions of what factors determine active engagement in formative assessment. Focus group study with postgraduate trainees and supervisors in obstetrics and gynaecology. Three higher order themes emerged: individual perspectives on feedback, supportiveness of the learning environment and the credibility of feedback and/or feedback giver. Engaging in formative assessment with a genuine impact on learning is complex and quite a challenge to both trainees and supervisors. Individual perspectives on feedback, a supportive learning environment and credibility of feedback are all important in this process. Every one of these should be taken into account when the utility of formative assessment in postgraduate medical training is evaluated.

Presence Relates to Distinct Outcomes in Two Virtual Environments Employing Different Learning Modalities

PubMed Central

Persky, Susan; Kaphingst, Kimberly A.; McCall, Cade; Lachance, Christina; Beall, Andrew C.; Blascovich, Jim

2009-01-01

Presence in virtual learning environments (VLEs) has been associated with a number of outcome factors related to a user’s ability and motivation to learn. The extant but relatively small body of research suggests that a high level of presence is related to better performance on learning outcomes in VLEs. Different configurations of form and content variables such as those associated with active (self-driven, interactive activities) versus didactic (reading or lecture) learning may, however, influence how presence operates and on what content it operates. We compared the influence of presence between two types of immersive VLEs (i.e., active versus didactic techniques) on comprehension and engagement-related outcomes. The findings revealed that the active VLE promoted greater presence. Although we found no relationship between presence and learning comprehension outcomes for either virtual environment, presence was related to information engagement variables in the didactic immersive VLE but not the active environment. Results demonstrate that presence is not uniformly elicited or effective across immersive VLEs. Educational delivery mode and environment complexity may influence the impact of presence on engagement. PMID:19366319

Presence relates to distinct outcomes in two virtual environments employing different learning modalities.

PubMed

Persky, Susan; Kaphingst, Kimberly A; McCall, Cade; Lachance, Christina; Beall, Andrew C; Blascovich, Jim

2009-06-01

Presence in virtual learning environments (VLEs) has been associated with a number of outcome factors related to a user's ability and motivation to learn. The extant but relatively small body of research suggests that a high level of presence is related to better performance on learning outcomes in VLEs. Different configurations of form and content variables such as those associated with active (self-driven, interactive activities) versus didactic (reading or lecture) learning may, however, influence how presence operates and on what content it operates. We compared the influence of presence between two types of immersive VLEs (i.e., active versus didactic techniques) on comprehension and engagement-related outcomes. The findings revealed that the active VLE promoted greater presence. Although we found no relationship between presence and learning comprehension outcomes for either virtual environment, presence was related to information engagement variables in the didactic immersive VLE but not the active environment. Results demonstrate that presence is not uniformly elicited or effective across immersive VLEs. Educational delivery mode and environment complexity may influence the impact of presence on engagement.

E-Learning

ERIC Educational Resources Information Center

Buzzi, Marina, Ed.

2010-01-01

E-Learning is a vast and complex research topic that poses many challenges in every aspect: educational and pedagogical strategies and techniques and the tools for achieving them; usability, accessibility and user interface design; knowledge sharing and collaborative environments; technologies, architectures, and protocols; user activity…

How the Learning Path and the Very Structure of a Multifloored Environment Influence Human Spatial Memory

PubMed Central

Dollé, Laurent; Droulez, Jacques; Bennequin, Daniel; Berthoz, Alain; Thibault, Guillaume

2015-01-01

Few studies have explored how humans memorize landmarks in complex multifloored buildings. They have observed that participants memorize an environment either by floors or by vertical columns, influenced by the learning path. However, the influence of the building’s actual structure is not yet known. In order to investigate this influence, we conducted an experiment using an object-in-place protocol in a cylindrical building to contrast with previous experiments which used rectilinear environments. Two groups of 15 participants were taken on a tour with a first person perspective through a virtual cylindrical three-floored building. They followed either a route discovering floors one at a time, or a route discovering columns (by simulated lifts across floors). They then underwent a series of trials, in which they viewed a camera movement reproducing either a segment of the learning path (familiar trials), or performing a shortcut relative to the learning trajectory (novel trials). We observed that regardless of the learning path, participants better memorized the building by floors, and only participants who had discovered the building by columns also memorized it by columns. This expands on previous results obtained in a rectilinear building, where the learning path favoured the memory of its horizontal and vertical layout. Taken together, these results suggest that both learning mode and an environment’s structure influence the spatial memory of complex multifloored buildings. PMID:26770288

Best geoscience approach to complex systems in environment

NASA Astrophysics Data System (ADS)

Mezemate, Yacine; Tchiguirinskaia, Ioulia; Schertzer, Daniel

2017-04-01

The environment is a social issue that continues to grow in importance. Its complexity, both cross-disciplinary and multi-scale, has given rise to a large number of scientific and technological locks, that complex systems approaches can solve. Significant challenges must met to achieve the understanding of the environmental complexes systems. There study should proceed in some steps in which the use of data and models is crucial: - Exploration, observation and basic data acquisition - Identification of correlations, patterns, and mechanisms - Modelling - Model validation, implementation and prediction - Construction of a theory Since the e-learning becomes a powerful tool for knowledge and best practice shearing, we use it to teach the environmental complexities and systems. In this presentation we promote the e-learning course dedicated for a large public (undergraduates, graduates, PhD students and young scientists) which gather and puts in coherence different pedagogical materials of complex systems and environmental studies. This course describes a complex processes using numerous illustrations, examples and tests that make it "easy to enjoy" learning process. For the seek of simplicity, the course is divided in different modules and at the end of each module a set of exercises and program codes are proposed for a best practice. The graphical user interface (GUI) which is constructed using an open source Opale Scenari offers a simple navigation through the different module. The course treats the complex systems that can be found in environment and their observables, we particularly highlight the extreme variability of these observables over a wide range of scales. Using the multifractal formalism through different applications (turbulence, precipitation, hydrology) we demonstrate how such extreme variability of the geophysical/biological fields should be used solving everyday (geo-)environmental chalenges.

A Flexible Approach to Quantifying Various Dimensions of Environmental Complexity

DTIC Science & Technology

2004-08-01

dissertation, Cambridge University, Cambridge, England, 1989. [15] C. J. C. H. Watkins and P. Dayan, “Q-learning,” Machine Learning , vol. 8, pp. 279–292, 1992...16] I. Szita, B. Takács, and A. Lörincz, “²-MDPs: Learning in varying environments,” Journal of Machine Learning Research, vol. 3, pp. 145–174, 2002

Students' Learning with the Connected Chemistry (CC1) Curriculum: Navigating the Complexities of the Particulate World

ERIC Educational Resources Information Center

Levy, Sharona T.; Wilensky, Uri

2009-01-01

The focus of this study is students' learning with a Connected Chemistry unit, CC1 (denotes Connected Chemistry, chapter 1), a computer-based environment for learning the topics of gas laws and kinetic molecular theory in chemistry (Levy and Wilensky 2009). An investigation was conducted into high-school students' learning with Connected…

Learning English with "The Sims": Exploiting Authentic Computer Simulation Games for L2 Learning

ERIC Educational Resources Information Center

Ranalli, Jim

2008-01-01

With their realistic animation, complex scenarios and impressive interactivity, computer simulation games might be able to provide context-rich, cognitively engaging virtual environments for language learning. However, simulation games designed for L2 learners are in short supply. As an alternative, could games designed for the mass-market be…

Peer Assisted Learning in the Clinical Setting: An Activity Systems Analysis

ERIC Educational Resources Information Center

Bennett, Deirdre; O'Flynn, Siun; Kelly, Martina

2015-01-01

Peer assisted learning (PAL) is a common feature of medical education. Understanding of PAL has been based on processes and outcomes in controlled settings, such as clinical skills labs. PAL in the clinical setting, a complex learning environment, requires fresh evaluation. Socio-cultural theory is proposed as a means to understand educational…

Measuring Cognitive and Metacognitive Regulatory Processes during Hypermedia Learning: Issues and Challenges

ERIC Educational Resources Information Center

Azevedo, Roger; Moos, Daniel C.; Johnson, Amy M.; Chauncey, Amber D.

2010-01-01

Self-regulated learning (SRL) with hypermedia environments involves a complex cycle of temporally unfolding cognitive and metacognitive processes that impact students' learning. We present several methodological issues related to treating SRL as an event and strengths and challenges of using online trace methodologies to detect, trace, model, and…

Conceptual and Socio-Cognitive Support for Collaborative Learning in Videoconferencing Environments

ERIC Educational Resources Information Center

Ertl, Bernhard; Fischer, Frank; Mandl, Heinz

2006-01-01

Studies have shown that videoconferencing is an effective medium for facilitating communication between parties who are separated by distance, particularly when learners are engaged in complex collaborative learning tasks. However, as in face-to-face communication, learners benefit most when they receive additional support for such learning tasks.…

Learner Variables Associated with Reading and Learning in a Hypertext Environment.

ERIC Educational Resources Information Center

Niederhauser, Dale S.; Shapiro, Amy

While many elements like character decoding, word recognition, comprehension, and others remain the same as in learning from traditional text, when learning from hypertext, a number of features that are unique to reading hypertext produce added complexity. It is these features that drive research on hypertext in education. There is a greater…

A Scale Development Study for the Teachers on Out of School Learning Environments

ERIC Educational Resources Information Center

Balkan-Kiyici, Fatime; Yavuz Topaloglu, Melike

2016-01-01

When teachers organize planned and systematical out-of-school learning activities, students can understand the abstract and complex terms and topics better and therefore meaningful and deeper learning can occur. Within this context this study aims to develop a valid and reliable scale to determine the attitudes, behaviors, efficiency and…

Measuring Medical Students' Motivation to Learning Anatomy by Cadaveric Dissection

ERIC Educational Resources Information Center

Abdel Meguid, Eiman M.; Khalil, Mohammed K.

2017-01-01

Motivation and learning are inter-related. It is well known that motivating learners is clearly a complex endeavor, which can be influenced by the educational program and the learning environment. Limited research has been conducted to examine students' motivation as a method to assess the effectiveness of dissection in medical education. This…

The Plot Thickens: Supporting Pre-Service Teachers in Authentic Use of Cooperative Learning through the Storypath Instructional Approach

ERIC Educational Resources Information Center

Stevahn, Laurie; McGuire, Margit E.

2017-01-01

Pre-service teachers typically find it challenging to implement cooperative learning authentically in schools given the complexities of classroom environments. Curriculum integration also is demanding because it requires combining research-informed pedagogies and best practices to promote academic and social learning. This article describes how…

Deep Learning towards Expertise Development in a Visualization-Based Learning Environment

ERIC Educational Resources Information Center

Yuan, Bei; Wang, Minhong; Kushniruk, Andre W.; Peng, Jun

2017-01-01

With limited problem-solving capability and practical experience, novices have difficulties developing expert-like performance. It is important to make the complex problem-solving process visible to learners and provide them with necessary help throughout the process. This study explores the design and effects of a model-based learning approach…

Transfer of Complex Skill Learning from Virtual to Real Rowing

PubMed Central

Rauter, Georg; Sigrist, Roland; Koch, Claudio; Crivelli, Francesco; van Raai, Mark; Riener, Robert; Wolf, Peter

2013-01-01

Simulators are commonly used to train complex tasks. In particular, simulators are applied to train dangerous tasks, to save costs, and to investigate the impact of different factors on task performance. However, in most cases, the transfer of simulator training to the real task has not been investigated. Without a proof for successful skill transfer, simulators might not be helpful at all or even counter-productive for learning the real task. In this paper, the skill transfer of complex technical aspects trained on a scull rowing simulator to sculling on water was investigated. We assume if a simulator provides high fidelity rendering of the interactions with the environment even without augmented feedback, training on such a realistic simulator would allow similar skill gains as training in the real environment. These learned skills were expected to transfer to the real environment. Two groups of four recreational rowers participated. One group trained on water, the other group trained on a simulator. Within two weeks, both groups performed four training sessions with the same licensed rowing trainer. The development in performance was assessed by quantitative biomechanical performance measures and by a qualitative video evaluation of an independent, blinded trainer. In general, both groups could improve their performance on water. The used biomechanical measures seem to allow only a limited insight into the rowers' development, while the independent trainer could also rate the rowers' overall impression. The simulator quality and naturalism was confirmed by the participants in a questionnaire. In conclusion, realistic simulator training fostered skill gains to a similar extent as training in the real environment and enabled skill transfer to the real environment. In combination with augmented feedback, simulator training can be further exploited to foster motor learning even to a higher extent, which is subject to future work. PMID:24376518

Features of an effective operative dentistry learning environment: students' perceptions and relationship with performance.

PubMed

Suksudaj, N; Lekkas, D; Kaidonis, J; Townsend, G C; Winning, T A

2015-02-01

Students' perceptions of their learning environment influence the quality of outcomes they achieve. Learning dental operative techniques in a simulated clinic environment is characterised by reciprocal interactions between skills training, staff- and student-related factors. However, few studies have examined how students perceive their operative learning environments and whether there is a relationship between their perceptions and subsequent performance. Therefore, this study aimed to clarify which learning activities and interactions students perceived as supporting their operative skills learning and to examine relationships with their outcomes. Longitudinal data about examples of operative laboratory sessions that were perceived as effective or ineffective for learning were collected twice a semester, using written critical incidents and interviews. Emergent themes from these data were identified using thematic analysis. Associations between perceptions of learning effectiveness and performance were analysed using chi-square tests. Students indicated that an effective learning environment involved interactions with tutors and peers. This included tutors arranging group discussions to clarify processes and outcomes, providing demonstrations and constructive feedback. Feedback focused on mistakes, and not improvement, was reported as being ineffective for learning. However, there was no significant association between students' perceptions of the effectiveness of their learning experiences and subsequent performance. It was clear that learning in an operative technique setting involved various factors related not only to social interactions and observational aspects of learning but also to cognitive, motivational and affective processes. Consistent with studies that have demonstrated complex interactions between students, their learning environment and outcomes, other factors need investigation. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Seeing the Wood for the Trees: Applying the Dual-Memory System Model to Investigate Expert Teachers' Observational Skills in Natural Ecological Learning Environments

ERIC Educational Resources Information Center

Stolpe, Karin; Bjorklund, Lars

2012-01-01

This study aims to investigate two expert ecology teachers' ability to attend to essential details in a complex environment during a field excursion, as well as how they teach this ability to their students. In applying a cognitive dual-memory system model for learning, we also suggest a rationale for their behaviour. The model implies two…

When the learning environment is suboptimal: exploring medical students' perceptions of "mistreatment".

PubMed

Gan, Runye; Snell, Linda

2014-04-01

Despite widespread implementation of policies to address mistreatment, high rates of mistreatment during clinical training are reported, prompting the question of whether "mistreatment" means more to students than delineated in official codes of conduct. Understanding "mistreatment" from students' perspective and as it relates to the learning environment is needed before effective interventions can be implemented. The authors conducted focus groups with final-year medical students at McGill University Faculty of Medicine in 2012. Participants were asked to characterize "suboptimal learning experience" and "mistreatment." Transcripts were analyzed via inductive thematic analysis. Forty-one of 174 eligible students participated in six focus groups. Students described "mistreatment" as lack of respect or attack directed toward the person, and "suboptimal learning experience" as that which compromised their learning. Differing perceptions emerged as students debated whether "mistreatment" can be applied to negative learning environments as well as isolated incidents of mistreatment even though some experiences fell outside of the "official" label as per institutional policies. Whether students perceived "mistreatment" versus a "suboptimal learning experience" in negative environments appeared to be influenced by several key factors. A concept map integrating these ideas is presented. How students perceived negative situations during training appears to be a complex process. When medical students say "mistreatment," they may be referring to a spectrum, with incident-based mistreatment on one end and learning-environment-based mistreatment on the other. Multiple factors influenced how students perceived an environment-based negative situation and may provide strategies to improving the learning environment.

Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments

ERIC Educational Resources Information Center

Eagle, Michael; Hicks, Drew; Barnes, Tiffany

2015-01-01

Intelligent tutoring systems and computer aided learning environments aimed at developing problem solving produce large amounts of transactional data which make it a challenge for both researchers and educators to understand how students work within the environment. Researchers have modeled student-tutor interactions using complex networks in…

Infrared Spectroscopic Analysis of Linkage Isomerism in Metal-Thiocyanate Complexes

ERIC Educational Resources Information Center

Baer, Carl; Pike, Jay

2010-01-01

We developed an experiment suitable for an advanced inorganic chemistry laboratory that utilizes a cooperative learning environment, which allows students to develop an empirical method of determining the bonding mode of a series of unknown metal-thiocyanate complexes. Students synthesize the metal-thiocyanate complexes and obtain the FT-IR…

Adjusted Framework of M-Learning in Blended Learning System for Mathematics Study Field of Junior High School Level VII

NASA Astrophysics Data System (ADS)

Sugiyanta, Lipur; Sukardjo, Moch.

2018-04-01

The 2013 curriculum requires teachers to be more productive, creative, and innovative in encouraging students to be more independent by strengthening attitudes, skills and knowledge. Teachers are given the options to create lesson plan according to the environment and conditions of their students. At the junior level, Core Competence (KI) and Basic Competence (KD) have been completely designed. In addition, there had already guidebooks, both for teacher manuals (Master’s Books) and for learners (Student Books). The lesson plan and guidebooks which already exist are intended only for learning in the classroom/in-school. Many alternative classrooms and alternatives learning models opened up using educational technology. The advance of educational technology opened opportunity for combination of class interaction using mobile learning applications. Mobile learning has rapidly evolved in education for the last ten years and many initiatives have been conducted worldwide. However, few of these efforts have produced any lasting outcomes. It is evident that mobile education applications are complex and hence, will not become sustainable. Long-term sustainability remains a risk. Long-term sustainability usually was resulted from continuous adaptation to changing conditions [4]. Frameworks are therefore required to avoid sustainability pitfalls. The implementation should start from simple environment then gradually become complex through adaptation steps. Therefore, our paper developed the framework of mobile learning (m-learning) adaptation for grade 7th (junior high school). The environment setup was blended mobile learning (not full mobile learning) and emphasize on Algebra. The research is done by R&D method (research and development). Results of the framework includes requirements and adaptation steps. The adjusted m-learning framework is designed to be a guidance for teachers to adopt m-learning to support blended learning environments. During mock-up prototype, the adjusted framework demonstrates how to make successful implementation of early blended mobile learning through framework. The Social area is in focus of adaptation because participation is important to improve the sustainability. From the short practice of mock-up prototype, blended mobile learning can be an effective pedagogical model in supporting students in inquiry-based learning.

Distributed Administration of Online Learning Accounts

ERIC Educational Resources Information Center

Gamrat, Betsy

2004-01-01

Distance learning is a vital part of today's educational environment. Using complex technology, schools are able to connect instructors and students across geographic, physical, and temporal boundaries. Sophisticated software and world-wide connectivity create virtual classrooms that span the globe. These large, accessible, asynchronous,…

Opportunistic Behavior in Motivated Learning Agents.

PubMed

Graham, James; Starzyk, Janusz A; Jachyra, Daniel

2015-08-01

This paper focuses on the novel motivated learning (ML) scheme and opportunistic behavior of an intelligent agent. It extends previously developed ML to opportunistic behavior in a multitask situation. Our paper describes the virtual world implementation of autonomous opportunistic agents learning in a dynamically changing environment, creating abstract goals, and taking advantage of arising opportunities to improve their performance. An opportunistic agent achieves better results than an agent based on ML only. It does so by minimizing the average value of all need signals rather than a dominating need. This paper applies to the design of autonomous embodied systems (robots) learning in real-time how to operate in a complex environment.

A Comparison of Learning Environments: All That Glitters... Interim Technical Paper for Period January 1990-July 1991.

ERIC Educational Resources Information Center

Shute, Valerie J.

Aptitude-treatment interactions (ATIs) refer to the covariation between learner characteristic and instructional treatment in relation to some outcome measure. To systematically test for ATI, an intelligent tutoring system instructing in basic principles of electricity was chosen as a complex but controlled learning task. Two learning environments…

Classroom Literacy Assessment. Making Sense of What Students Know and Do. Solving Problems in the Teaching of Literacy Series

ERIC Educational Resources Information Center

Paratore, Jeanne R. Ed.; McCormack, Rachel L. Ed.; Block, Cathy, Collins Ed.

2007-01-01

Showcasing assessment practices that can help teachers plan effective instruction, this book addresses the real-world complexities of teaching literacy in grades K-8. Leading contributors present trustworthy approaches that examine learning processes as well as learning products, that yield information on how the learning environment can be…

Human Health in the Balance. Hands-On! Developing Active Learning Modules on the Human Dimensions of Global Change.

ERIC Educational Resources Information Center

Meade, Melinda S.; Washburn, Sarah; Holman, Jeremy T.

This learning module aims to engage students in problem solving, critical thinking, scientific inquiry, and cooperative learning. The module is appropriate for use in any introductory or intermediate undergraduate course that focuses on human-environment relationships. The module states that human health is a product of complex interactions among…

Understanding Complex Ecologies: An Investigation of Student Experiences in Adventure Learning Programs

ERIC Educational Resources Information Center

Koseoglu, Suzan; Doering, Aaron

2011-01-01

The GoNorth! Adventure Learning (AL) Series delivered educational programs about global climate change and sustainability from 2006 to 2010 via a hybrid-learning environment that included a curriculum designed with activities that worked in conjunction with the travels of Team GoNorth! as they dog sledded throughout the circumpolar Arctic. This…

Developing and Evaluating Gamifying Learning System by Using Flow-Based Model

ERIC Educational Resources Information Center

Su, Chung-Ho; Hsaio, Kai-Chong

2015-01-01

Game-based learning is an effective learning method, whose performance depends on the quality of the educational game. Due to versatile game environments with complex backgrounds, evaluations are not easy to implement. Consequently, it is difficult for educators to determine to what degree a game may be qualified. This study proposes a novel,…

Teachers' Perceptions of the Learning Environment and Their Knowledge Base in a Training Program for Novice University Teachers

ERIC Educational Resources Information Center

Johannes, Christine; Fendler, Jan; Seidel, Tina

2013-01-01

Despite the complexity of teaching, learning to teach in universities is often "learning by doing". To provide novice university teachers with pedagogic teaching knowledge and to help them develop specific teaching objectives, we created a structured, video-based, one-year training program. In focusing on the core features of…

Learning and Teaching as Emergent Features of Informal Settings: An Ethnographic Study in an Environmental Action Group

ERIC Educational Resources Information Center

Boyer, Leanna; Roth, Wolff-Michael

2006-01-01

Around the world, many people concerned with the state of the environment participate in environmental action groups. Much of their learning occurs informally, simply by participating in the everyday, ongoing collective life of the chosen group. Such settings provide unique opportunities for studying how people learn science in complex settings…

Formative Assessment in Complex Problem-Solving Domains: The Emerging Role of Assessment Technologies

ERIC Educational Resources Information Center

Bhagat, Kaushal Kumar; Spector, J. Michael

2017-01-01

Much of the focus on learning technologies has been on structuring innovative learning experiences and on managing distance and hybrid learning environments. This article focuses on the use of technology as an important formative assessment and feedback tool. The rationale for this focus is based on prior research findings that suggest that timely…

Socioemotional Learning and Sense of Community: An Analysis of Implementation Quality and the Paths Curriculum

ERIC Educational Resources Information Center

Mauk, Scott F.

2010-01-01

Many educators believe that developing a sense of community in their schools is necessary for having a vibrant and effective learning environment. Sense of community is a complex social construct with many proponents. Socioemotional learning programs purport to help young students develop emotional skills in order to develop intellectually and…

Instructional changes based on cogenerative physics reform

NASA Astrophysics Data System (ADS)

Samuels, Natan; Brewe, Eric; Kramer, Laird

2013-01-01

We describe changes in a physics teacher's pedagogy and cultural awareness that resulted from her students' involvement in reforming their classroom. For this case study, we examined a veteran high school teacher's semester-long use of CMPLE (the Cogenerative Mediation Process for Learning Environments) in her Modeling Instruction classroom. CMPLE is a formative intervention designed to help students and instructors collaborate to change classroom dynamics, based on how closely the environment matches their learning preferences. Analysis of classroom videos, interviews, and other artifacts indicates that adapting the environment to align with the preferences of that shared culture affected the instructor in complex ways. We will trace her teaching practices and her self-described awareness of the culture of learning, to highlight notable changes. The teacher espoused deeper understanding of her students' physics learning experience, which she gained from including students in responding to their own individual and collective learning preferences.

Implicit Learning as an Ability

ERIC Educational Resources Information Center

Kaufman, Scott Barry; DeYoung, Caroline G.; Gray, Jeremy R.; Jimenez, Luis; Brown, Jamie; Mackintosh, Nicholas

2010-01-01

The ability to automatically and implicitly detect complex and noisy regularities in the environment is a fundamental aspect of human cognition. Despite considerable interest in implicit processes, few researchers have conceptualized implicit learning as an ability with meaningful individual differences. Instead, various researchers (e.g., Reber,…

Facilitating Argumentative Knowledge Construction through a Transactive Discussion Script in CSCL

ERIC Educational Resources Information Center

Noroozi, Omid; Weinberger, Armin; Biemans, Harm J. A.; Mulder, Martin; Chizari, Mohammad

2013-01-01

Learning to argue is prerequisite to solving complex problems in groups, especially when they are multidisciplinary and collaborate online. Environments for Computer-Supported Collaborative Learning (CSCL) can be designed to facilitate argumentative knowledge construction. This study investigates how argumentative knowledge construction in…

A Large-Scale Multi-Hop Localization Algorithm Based on Regularized Extreme Learning for Wireless Networks.

PubMed

Zheng, Wei; Yan, Xiaoyong; Zhao, Wei; Qian, Chengshan

2017-12-20

A novel large-scale multi-hop localization algorithm based on regularized extreme learning is proposed in this paper. The large-scale multi-hop localization problem is formulated as a learning problem. Unlike other similar localization algorithms, the proposed algorithm overcomes the shortcoming of the traditional algorithms which are only applicable to an isotropic network, therefore has a strong adaptability to the complex deployment environment. The proposed algorithm is composed of three stages: data acquisition, modeling and location estimation. In data acquisition stage, the training information between nodes of the given network is collected. In modeling stage, the model among the hop-counts and the physical distances between nodes is constructed using regularized extreme learning. In location estimation stage, each node finds its specific location in a distributed manner. Theoretical analysis and several experiments show that the proposed algorithm can adapt to the different topological environments with low computational cost. Furthermore, high accuracy can be achieved by this method without setting complex parameters.

Learning what matters: A neural explanation for the sparsity bias.

PubMed

Hassall, Cameron D; Connor, Patrick C; Trappenberg, Thomas P; McDonald, John J; Krigolson, Olave E

2018-05-01

The visual environment is filled with complex, multi-dimensional objects that vary in their value to an observer's current goals. When faced with multi-dimensional stimuli, humans may rely on biases to learn to select those objects that are most valuable to the task at hand. Here, we show that decision making in a complex task is guided by the sparsity bias: the focusing of attention on a subset of available features. Participants completed a gambling task in which they selected complex stimuli that varied randomly along three dimensions: shape, color, and texture. Each dimension comprised three features (e.g., color: red, green, yellow). Only one dimension was relevant in each block (e.g., color), and a randomly-chosen value ranking determined outcome probabilities (e.g., green > yellow > red). Participants were faster to respond to infrequent probe stimuli that appeared unexpectedly within stimuli that possessed a more valuable feature than to probes appearing within stimuli possessing a less valuable feature. Event-related brain potentials recorded during the task provided a neurophysiological explanation for sparsity as a learning-dependent increase in optimal attentional performance (as measured by the N2pc component of the human event-related potential) and a concomitant learning-dependent decrease in prediction errors (as measured by the feedback-elicited reward positivity). Together, our results suggest that the sparsity bias guides human reinforcement learning in complex environments. Copyright © 2018 Elsevier B.V. All rights reserved.

Task Complexity, the Cognition Hypothesis, and Interaction in CMC and FTF Environments

ERIC Educational Resources Information Center

Baralt, Melissa Lorrain

2010-01-01

The construct of cognitive complexity has played an increasingly important role in studies on task design, which aim to explore how increases in the cognitive complexity of tasks differentially mediate interaction and learning outcomes (Kim, 2009; Gilabert, Baron, & Llanes, 2009; Kim & Tracy-Ventura, forthcoming; Nuevo, 2006; Revesz, 2009,…

The Perception of Workload and Task Complexity and Its Influence on Students' Approaches to Learning: A Study in Higher Education

ERIC Educational Resources Information Center

Kyndt, Eva; Dochy, Filip; Struyven, Katrien; Cascallar, Eduardo

2011-01-01

Researchers have tried to induce a deeper approach to learning by means of student-centred learning environments. Findings did not always confirm the positive hypotheses. This has given rise to the question as to what the discouraging or encouraging factors are for inducing a deep approach to learning. The aim of this research study is to…

Peer assisted learning in the clinical setting: an activity systems analysis.

PubMed

Bennett, Deirdre; O'Flynn, Siun; Kelly, Martina

2015-08-01

Peer assisted learning (PAL) is a common feature of medical education. Understanding of PAL has been based on processes and outcomes in controlled settings, such as clinical skills labs. PAL in the clinical setting, a complex learning environment, requires fresh evaluation. Socio-cultural theory is proposed as a means to understand educational interventions in ways that are practical and meaningful. We describe the evaluation of a PAL intervention, introduced to support students' transition into full time clinical attachments, using activity theory and activity systems analysis (ASA). Our research question was How does PAL transfer to the clinical environment? Junior students on their first clinical attachments undertook a weekly same-level, reciprocal PAL activity. Qualitative data was collected after each session, and focus groups (n = 3) were held on completion. Data was analysed using ASA. ASA revealed two competing activity systems on clinical attachment; Learning from Experts, which students saw as the primary function of the attachment and Learning with Peers, the PAL intervention. The latter took time from the first and was in tension with it. Tensions arose from student beliefs about how learning takes place in clinical settings, and the importance of social relationships, leading to variable engagement with PAL. Differing perspectives within the group were opportunities for expansive learning. PAL in the clinical environment presents challenges specific to that context. Using ASA helped to describe student activity on clinical attachment and to highlight tensions and contradictions relating PAL in that setting. Planning learning opportunities on clinical placements, must take account of how students learn in workplaces, and the complexity of the multiple competing activity systems related to learning and social activities.

From boring to scoring - a collaborative serious game for learning and practicing mathematical logic for computer science education

NASA Astrophysics Data System (ADS)

Schäfer, Andreas; Holz, Jan; Leonhardt, Thiemo; Schroeder, Ulrik; Brauner, Philipp; Ziefle, Martina

2013-06-01

In this study, we address the problem of low retention and high dropout rates of computer science university students in early semesters of the studies. Complex and high abstract mathematical learning materials have been identified as one reason for the dropout rate. In order to support the understanding and practicing of core mathematical concepts, we developed a game-based multitouch learning environment in which the need for a suitable learning environment for mathematical logic was combined with the ability to train cooperation and collaboration in a learning scenario. As application domain, the field of mathematical logic had been chosen. The development process was accomplished along three steps: First, ethnographic interviews were run with 12 students of computer science revealing typical problems with mathematical logic. Second, a multitouch learning environment was developed. The game consists of multiple learning and playing modes in which teams of students can collaborate or compete against each other. Finally, a twofold evaluation of the environment was carried out (user study and cognitive walk-through). Overall, the evaluation showed that the game environment was easy to use and rated as helpful: The chosen approach of a multiplayer game supporting competition, collaboration, and cooperation is perceived as motivating and "fun."

Learning To Live with Complexity.

ERIC Educational Resources Information Center

Dosa, Marta

Neither the design of information systems and networks nor the delivery of library services can claim true user centricity without an understanding of the multifaceted psychological environment of users and potential users. The complexity of the political process, social problems, challenges to scientific inquiry, entrepreneurship, and…

Effect of reinforcement learning on coordination of multiangent systems

NASA Astrophysics Data System (ADS)

Bukkapatnam, Satish T. S.; Gao, Greg

2000-12-01

For effective coordination of distributed environments involving multiagent systems, learning ability of each agent in the environment plays a crucial role. In this paper, we develop a simple group learning method based on reinforcement, and study its effect on coordination through application to a supply chain procurement scenario involving a computer manufacturer. Here, all parties are represented by self-interested, autonomous agents, each capable of performing specific simple tasks. They negotiate with each other to perform complex tasks and thus coordinate supply chain procurement. Reinforcement learning is intended to enable each agent to reach a best negotiable price within a shortest possible time. Our simulations of the application scenario under different learning strategies reveals the positive effects of reinforcement learning on an agent's as well as the system's performance.

Team Learning on the Edge of Chaos

ERIC Educational Resources Information Center

Fisser, Sandra; Browaeys, Marie-Joelle

2010-01-01

Purpose: Organizations as complex networks aim to survive. The purpose of this paper is to provide an alternative perspective to current organizational challenges by considering team learning as key factor for surviving this turbulent environment. Design/methodology/approach: The dominating approach in this paper comes from the complexity…

Learning to Be a Programmer in a Complex Organization: A Case Study on Practice-Based Learning during the Onboarding Process at Google

ERIC Educational Resources Information Center

Johnson, Maggie; Senges, Max

2010-01-01

Purpose: This paper seeks to analyse the effectiveness and impact of how Google currently trains its new software engineers ("Nooglers") to become productive in the software engineering community. The research focuses on the institutions and support for practice-based learning and cognitive apprenticeship in the Google environment.…

Global Change and Environmental Hazards: Is the World Becoming More Disastrous? Hands-On! Developing Active Learning Modules on the Human Dimensions of Global Change.

ERIC Educational Resources Information Center

Mitchell, Jerry T.; Cutter, Susan L.

This learning module aims to engage students in problem solving, critical thinking, scientific inquiry, and cooperative learning. The module is appropriate for use in any introductory or intermediate undergraduate course that focuses on human-environment relationships. The module introduces the complexities in the relationships among environmental…

The Conceptual Structure of IMS Learning Design Does Not Impede Its Use for Authoring

ERIC Educational Resources Information Center

Derntl, M.; Neumann, S.; Griffiths, D.; Oberhuemer, P.

2012-01-01

IMS Learning Design (LD) is the only available interoperability specification in the area of technology enhanced learning that allows the definition and orchestration of complex activity flows and resource environments in a multirole setting. IMS LD has been available since 2003, and yet it has not been widely adopted either by practitioners or by…

Understanding a Brazilian High School Blended Learning Environment from the Perspective of Complex Systems

ERIC Educational Resources Information Center

de Barros, Ana Paula Rodrigues Magalhães; Simmt, Elaine; Maltempi, Marcus Vinicius

2017-01-01

The use of technological resources has the potential to make viable new and less traditional methodologies of teaching that take into account student differences. Blended learning can be a way to rethink classes so that students have more freedom in their processes of learning. The goal of this article is to understand a blended learning…

Interactive knowledge networks for interdisciplinary course navigation within Moodle.

PubMed

Scherl, Andre; Dethleffsen, Kathrin; Meyer, Michael

2012-12-01

Web-based hypermedia learning environments are widely used in modern education and seem particularly well suited for interdisciplinary learning. Previous work has identified guidance through these complex environments as a crucial problem of their acceptance and efficiency. We reasoned that map-based navigation might provide straightforward and effortless orientation. To achieve this, we developed a clickable and user-oriented concept map-based navigation plugin. This tool is implemented as an extension of Moodle, a widely used learning management system. It visualizes inner and interdisciplinary relations between learning objects and is generated dynamically depending on user set parameters and interactions. This plugin leaves the choice of navigation type to the user and supports direct guidance. Previously developed and evaluated face-to-face interdisciplinary learning materials bridging physiology and physics courses of a medical curriculum were integrated as learning objects, the relations of which were defined by metadata. Learning objects included text pages, self-assessments, videos, animations, and simulations. In a field study, we analyzed the effects of this learning environment on physiology and physics knowledge as well as the transfer ability of third-term medical students. Data were generated from pre- and posttest questionnaires and from tracking student navigation. Use of the hypermedia environment resulted in a significant increase of knowledge and transfer capability. Furthermore, the efficiency of learning was enhanced. We conclude that hypermedia environments based on Moodle and enriched by concept map-based navigation tools can significantly support interdisciplinary learning. Implementation of adaptivity may further strengthen this approach.

ENERGY-NET (Energy, Environment and Society Learning Network): Enhancing opportunities for learning using an Earth systems science framework

NASA Astrophysics Data System (ADS)

Elliott, E. M.; Bain, D. J.; Divers, M. T.; Crowley, K. J.; Povis, K.; Scardina, A.; Steiner, M.

2012-12-01

We describe a newly funded collaborative NSF initiative, ENERGY-NET (Energy, Environment and Society Learning Network), that brings together the Carnegie Museum of Natural History (CMNH) with the Learning Science and Geoscience research strengths at the University of Pittsburgh. ENERGY-NET aims to create rich opportunities for participatory learning and public education in the arena of energy, the environment, and society using an Earth systems science framework. We build upon a long-established teen docent program at CMNH and to form Geoscience Squads comprised of underserved teens. Together, the ENERGY-NET team, including museum staff, experts in informal learning sciences, and geoscientists spanning career stage (undergraduates, graduate students, faculty) provides inquiry-based learning experiences guided by Earth systems science principles. Together, the team works with Geoscience Squads to design "Exploration Stations" for use with CMNH visitors that employ an Earth systems science framework to explore the intersecting lenses of energy, the environment, and society. The goals of ENERGY-NET are to: 1) Develop a rich set of experiential learning activities to enhance public knowledge about the complex dynamics between Energy, Environment, and Society for demonstration at CMNH; 2) Expand diversity in the geosciences workforce by mentoring underrepresented teens, providing authentic learning experiences in earth systems science and life skills, and providing networking opportunities with geoscientists; and 3) Institutionalize ENERGY-NET collaborations among geosciences expert, learning researchers, and museum staff to yield long-term improvements in public geoscience education and geoscience workforce recruiting.

Simulation: a new approach to teaching ethics.

PubMed

Buxton, Margaret; Phillippi, Julia C; Collins, Michelle R

2015-01-01

The importance of ethical conduct in health care was acknowledged as early as the fifth century in the Hippocratic Oath and continues to be an essential element of clinical practice. Providers face ethical dilemmas that are complex and unfold over time, testing both practitioners' knowledge and communication skills. Students learning to be health care providers need to develop the knowledge and skills necessary to negotiate complex situations involving ethical conflict. Simulation has been shown to be an effective learning environment for students to learn and practice complex and overlapping skills sets. However, there is little guidance in the literature on constructing effective simulation environments to assist students in applying ethical concepts. This article describes realistic simulations with trained, standardized patients that present ethical problems to graduate-level nurse-midwifery students. Student interactions with the standardized patients were monitored by faculty and peers, and group debriefing was used to help explore students' emotions and reactions. Student feedback postsimulation was exceedingly positive. This simulation could be easily adapted for use by health care education programs to assist students in developing competency with ethics. © 2014 by the American College of Nurse-Midwives.

Complex learning: the role of knowledge, intelligence, motivation and learning strategies.

PubMed

Castejón, Juan L; Gilar, Raquel; Pérez, Antonio M

2006-11-01

This work presents the main theories and models formulated with the purpose of offering a global overview on the acquisition of knowledge and skills involved in the initial development of expert competence. Setting from this background, we developed an empirical work whose main purpose is to define those factors in a complex learning situation such as chapter-sized in a knowledge-rich domain. The results obtained in a sample of Master students reveal that the several variables intervening, such as the qualitative organization of knowledge, intellectual ability, motivation, the deliberate use of strategies, and a rich learning environment, contribute in an independent way to provide an explanation for the acquired knowledge.

A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots.

PubMed

Srinivasa, Narayan; Bhattacharyya, Rajan; Sundareswara, Rashmi; Lee, Craig; Grossberg, Stephen

2012-11-01

This paper describes a redundant robot arm that is capable of learning to reach for targets in space in a self-organized fashion while avoiding obstacles. Self-generated movement commands that activate correlated visual, spatial and motor information are used to learn forward and inverse kinematic control models while moving in obstacle-free space using the Direction-to-Rotation Transform (DIRECT). Unlike prior DIRECT models, the learning process in this work was realized using an online Fuzzy ARTMAP learning algorithm. The DIRECT-based kinematic controller is fault tolerant and can handle a wide range of perturbations such as joint locking and the use of tools despite not having experienced them during learning. The DIRECT model was extended based on a novel reactive obstacle avoidance direction (DIRECT-ROAD) model to enable redundant robots to avoid obstacles in environments with simple obstacle configurations. However, certain configurations of obstacles in the environment prevented the robot from reaching the target with purely reactive obstacle avoidance. To address this complexity, a self-organized process of mental rehearsals of movements was modeled, inspired by human and animal experiments on reaching, to generate plans for movement execution using DIRECT-ROAD in complex environments. These mental rehearsals or plans are self-generated by using the Fuzzy ARTMAP algorithm to retrieve multiple solutions for reaching each target while accounting for all the obstacles in its environment. The key aspects of the proposed novel controller were illustrated first using simple examples. Experiments were then performed on real robot platforms to demonstrate successful obstacle avoidance during reaching tasks in real-world environments. Copyright © 2012 Elsevier Ltd. All rights reserved.

Developing the School Physical Activity and Nutrition Environment Tool to Measure Qualities of the Obesogenic Context

ERIC Educational Resources Information Center

John, Deborah H.; Gunter, Katherine; Jackson, Jennifer A.; Manore, Melinda

2016-01-01

Background: Practical tools are needed that reliably measure the complex physical activity (PA) and nutrition environments of elementary schools that influence children's health and learning behaviors for obesity prevention. The School Physical Activity and Nutrition-Environment Tool (SPAN-ET) was developed and beta tested in 6 rural Oregon…

The Impact of Cognitive Complexity on Feedback Efficacy during Online Versus Face-to-Face Interactive Tasks

ERIC Educational Resources Information Center

Baralt, Melissa

2013-01-01

Informed by the cognition hypothesis (Robinson, 2011), recent studies indicate that more cognitively complex tasks can result in better incorporation of feedback during interaction and, as a consequence, more learning. It is not known, however, how task complexity and feedback work together in computerized environments. The present study addressed…

Moving Apart and Coming Together: Discourse, Engagement, and Deep Learning

ERIC Educational Resources Information Center

Gomoll, Andrea S.; Hmelo-Silver, Cindy E.; Tolar, Erin; Šabanovic, Selma; Francisco, Matthew

2017-01-01

An important part of "doing" science is engaging in collaborative science practices. To better understand how to support these practices, we need to consider how students collaboratively construct and represent shared understanding in complex, problem-oriented, and authentic learning environments. This research presents a case study…

Improving Reading and Social Studies Learning for Secondary Students with Reading Disabilities

ERIC Educational Resources Information Center

Capin, Philip; Vaughn, Sharon

2017-01-01

Significant numbers of adolescents and young adults do not adequately understand complex texts, impeding their school success, access to postsecondary learning, and opportunities within an increasingly competitive work environment. National data (National Assessment of Educational Progress [NAEP], 2015) have shown improvements among fourth- and…

Design Rationale for a Complex Performance Assessment

ERIC Educational Resources Information Center

Williamson, David M.; Bauer, Malcolm; Steinberg, Linda S.; Mislevy, Robert J.; Behrens, John T.; DeMark, Sarah F.

2004-01-01

In computer-based interactive environments meant to support learning, students must bring a wide range of relevant knowledge, skills, and abilities to bear jointly as they solve meaningful problems in a learning domain. To function effectively as an assessment, a computer system must additionally be able to evoke and interpret observable evidence…

Analyzing Multimodal Interaction within a Classroom Setting

ERIC Educational Resources Information Center

Moura, Heloisa

2006-01-01

Human interactions are multimodal in nature. From simple to complex forms of transferal of information, human beings draw on a multiplicity of communicative modes, such as intonation and gaze, to make sense of everyday experiences. Likewise, the learning process, either within traditional classrooms or Virtual Learning Environments, is shaped by…

Do You Have a Strategy?

ERIC Educational Resources Information Center

Kalina, David

2006-01-01

Education is undergoing a transformation across the country as it responds to new understandings of the mechanisms for learning. These changes are affecting the physical environments where learning occurs, from individual rooms to entire building complexes. The impact of these trends on facilities is dramatic. Old classroom models will not support…

Peer-Mediated Reading and Writing in a Digital, Multimodal Environment

ERIC Educational Resources Information Center

Fitzgerald, Miranda S.; Palincsar, Annemarie Sullivan

2017-01-01

The goals for engaging students in peer learning range from positioning students as knowledgeable others to promoting social-emotional learning goals to providing contexts in which students can articulate and compare their thinking to supporting opportunities to cogenerate solutions to complex problems. There are a number of complexities…

Participative Critical Enquiry in Graduate Field-Based Learning

ERIC Educational Resources Information Center

Reilly, Kathy; Clavin, Alma; Morrissey, John

2016-01-01

This paper outlines a critical pedagogic approach to field-based learning (FBL) at graduate level. Drawing on student experience stemming from a FBL module and as part of an MA programme in Environment, Society and Development, the paper addresses the complexities associated with student-led, participative critical enquiry during fieldwork in…

Neural network applications in telecommunications

NASA Technical Reports Server (NTRS)

Alspector, Joshua

1994-01-01

Neural network capabilities include automatic and organized handling of complex information, quick adaptation to continuously changing environments, nonlinear modeling, and parallel implementation. This viewgraph presentation presents Bellcore work on applications, learning chip computational function, learning system block diagram, neural network equalization, broadband access control, calling-card fraud detection, software reliability prediction, and conclusions.

Preparing to Prescribe: How Do Clerkship Students Learn in the Midst of Complexity?

ERIC Educational Resources Information Center

McLellan, Lucy; Yardley, Sarah; Norris, Ben; de Bruin, Anique; Tully, Mary P.; Dornan, Tim

2015-01-01

Prescribing tasks, which involve pharmacological knowledge, clinical decision-making and practical skill, take place within unpredictable social environments and involve interactions within and between endlessly changing health care teams. Despite this, curriculum designers commonly assume them to be simple to learn and perform. This research used…

Mental Models: Knowledge in the Head and Knowledge in the World.

ERIC Educational Resources Information Center

Jonassen, David H.; Henning, Philip

1999-01-01

Explores the utility of mental models as learning outcomes in using complex and situated learning environments. Describes two studies: one aimed at eliciting mental models in the heads of novice refrigeration technicians, and the other an ethnographic study eliciting knowledge and models within the community of experienced refrigeration…

Dilemmas of Blended Language Learning: Learner and Teacher Experiences

ERIC Educational Resources Information Center

Gleason, Jesse

2013-01-01

Rapidly advancing technology continues to change the landscape of blended foreign language education. Pinpointing the differences between blended language (BL) learning environments and understanding how stakeholders experience such spaces is complex. However, learner experiences can provide a roadmap for the design and development of BL courses.…

Investigating the Experiential Impact of Sensory Affect in Contemporary Communication Design Studio Education

ERIC Educational Resources Information Center

Marshalsey, Lorraine

2015-01-01

The studio is the primary site for learning in specialist Communication Design education worldwide. Differing higher education institutions, including art schools and university campuses, have developed a varied range of studio environments. These diverse learning spaces inherently create a complex fabric of affects. In addition, Communication…

Computer-Assisted Language Learning Authoring Issues

ERIC Educational Resources Information Center

Otto, Sue E. K.; Pusack, James P.

2009-01-01

Computer-assisted language learning (CALL) authoring refers to a wide variety of creative development activities using software tools that run the gamut from simple templates (easy-to-use predefined forms into which content is typed) to complex authoring environments (flexible but harder-to-use systems, requiring advanced skills and a great deal…

Resting-State fMRI Activity Predicts Unsupervised Learning and Memory in an Immersive Virtual Reality Environment

PubMed Central

Wong, Chi Wah; Olafsson, Valur; Plank, Markus; Snider, Joseph; Halgren, Eric; Poizner, Howard; Liu, Thomas T.

2014-01-01

In the real world, learning often proceeds in an unsupervised manner without explicit instructions or feedback. In this study, we employed an experimental paradigm in which subjects explored an immersive virtual reality environment on each of two days. On day 1, subjects implicitly learned the location of 39 objects in an unsupervised fashion. On day 2, the locations of some of the objects were changed, and object location recall performance was assessed and found to vary across subjects. As prior work had shown that functional magnetic resonance imaging (fMRI) measures of resting-state brain activity can predict various measures of brain performance across individuals, we examined whether resting-state fMRI measures could be used to predict object location recall performance. We found a significant correlation between performance and the variability of the resting-state fMRI signal in the basal ganglia, hippocampus, amygdala, thalamus, insula, and regions in the frontal and temporal lobes, regions important for spatial exploration, learning, memory, and decision making. In addition, performance was significantly correlated with resting-state fMRI connectivity between the left caudate and the right fusiform gyrus, lateral occipital complex, and superior temporal gyrus. Given the basal ganglia's role in exploration, these findings suggest that tighter integration of the brain systems responsible for exploration and visuospatial processing may be critical for learning in a complex environment. PMID:25286145

When the Learning Environment Is Suboptimal: Exploring Medical Students’ Perceptions of “Mistreatment”

PubMed Central

Snell, Linda

2014-01-01

Purpose Despite widespread implementation of policies to address mistreatment, high rates of mistreatment during clinical training are reported, prompting the question of whether “mistreatment” means more to students than delineated in official codes of conduct. Understanding “mistreatment” from students’ perspective and as it relates to the learning environment is needed before effective interventions can be implemented. Method The authors conducted focus groups with final-year medical students at McGill University Faculty of Medicine in 2012. Participants were asked to characterize “suboptimal learning experience” and “mistreatment.” Transcripts were analyzed via inductive thematic analysis. Results Forty-one of 174 eligible students participated in six focus groups. Students described “mistreatment” as lack of respect or attack directed toward the person, and “suboptimal learning experience” as that which compromised their learning. Differing perceptions emerged as students debated whether “mistreatment” can be applied to negative learning environments as well as isolated incidents of mistreatment even though some experiences fell outside of the “official” label as per institutional policies. Whether students perceived “mistreatment” versus a “suboptimal learning experience” in negative environments appeared to be influenced by several key factors. A concept map integrating these ideas is presented. Conclusions How students perceived negative situations during training appears to be a complex process. When medical students say “mistreatment,” they may be referring to a spectrum, with incident-based mistreatment on one end and learning-environment-based mistreatment on the other. Multiple factors influenced how students perceived an environment-based negative situation and may provide strategies to improving the learning environment. PMID:24556767

Learning to soar in turbulent environments

NASA Astrophysics Data System (ADS)

Reddy, Gautam; Celani, Antonio; Sejnowski, Terrence; Vergassola, Massimo

Birds and gliders exploit warm, rising atmospheric currents (thermals) to reach heights comparable to low-lying clouds with a reduced expenditure of energy. Soaring provides a remarkable instance of complex decision-making in biology and requires a long-term strategy to effectively use the ascending thermals. Furthermore, the problem is technologically relevant to extend the flying range of autonomous gliders. The formation of thermals unavoidably generates strong turbulent fluctuations, which make deriving an efficient policy harder and thus constitute an essential element of soaring. Here, we approach soaring flight as a problem of learning to navigate highly fluctuating turbulent environments. We simulate the atmospheric boundary layer by numerical models of turbulent convective flow and combine them with model-free, experience-based, reinforcement learning algorithms to train the virtual gliders. For the learned policies in the regimes of moderate and strong turbulence levels, the virtual glider adopts an increasingly conservative policy as turbulence levels increase, quantifying the degree of risk affordable in turbulent environments. Reinforcement learning uncovers those sensorimotor cues that permit effective control over soaring in turbulent environments.

The sensorimotor and social sides of the architecture of speech.

PubMed

Pezzulo, Giovanni; Barca, Laura; D'Ausilio, Alessando

2014-12-01

Speech is a complex skill to master. In addition to sophisticated phono-articulatory abilities, speech acquisition requires neuronal systems configured for vocal learning, with adaptable sensorimotor maps that couple heard speech sounds with motor programs for speech production; imitation and self-imitation mechanisms that can train the sensorimotor maps to reproduce heard speech sounds; and a "pedagogical" learning environment that supports tutor learning.

Enacting Classroom Inquiry: Theorizing Teachers' Conceptions of Science Teaching

ERIC Educational Resources Information Center

McDonald, Scott; Songer, Nancy Butler

2008-01-01

Translating written curricular materials into rich, complex, learning environments is an undertheorized area in science education. This study examines two critical cases of teachers enacting a technology-rich curriculum focused on the development of complex reasoning around biodiversity for fifth graders. Two elements emerged that significantly…

Influences of Learning Environment Characteristics on Student Learning During Authentic Science Inquiry in an Introductory Physical Geology Course

NASA Astrophysics Data System (ADS)

Miller, H. R.; Sell, K. S.; Herbert, B. E.

2004-12-01

Shifts in learning goals in introductory earth science courses to greater emphasis on critical thinking and the nature of science has led to the adoption of new pedagogical techniques, including inquiry-based learning (IBL). IBL is thought to support understanding of the nature of science and foster development of scientific reasoning and critical thinking skills by modeling authentic science inquiry. Implementation of new pedagogical techniques do not occur without influence, instruction and learning occurs in a complex learning environment, referring to the social, physical, mental, and pedagogical contexts. This study characterized the impact of an IBL module verses a traditionally structured laboratory exercise in an introductory physical geology class at Texas A&M University. Student activities in this study included manipulation of large-scale data sets, use of multiple representations, and exposure to ill-constrained problems common to the Texas Gulf Coast system. Formative assessment data collected included an initial survey of self efficacy, student demographics, content knowledge and a pre-mental model expression. Summative data collected included a post-test, post-mental model expression, final laboratory report, and a post-survey on student attitudes toward the module. Mental model expressions and final reports were scored according to a validated rubric instrument (Cronbrach alpha: 0.84-0.98). Nine lab sections were randomized into experimental and control groups. Experimental groups were taught using IBL pedagogical techniques, while the control groups were taught using traditional laboratory "workbook" techniques. Preliminary assessment based on rubric scores for pre-tests using Student's t-test (N ˜ 140) indicated that the experimental and control groups were not significantly different (ρ > 0.05), therefore, the learning environment likely impacted student's ability to succeed. A non-supportive learning environment, including student attitudes, teaching assistant attitudes, the lack of scaffolded learning, limited pedagogical content knowledge, and departmental oversight, which were all encountered during this study, can have an affect on the students' attitudes and achievements during the course. Data collected showed an overall improvement in content knowledge (38% increase); while performance effort clearly declined as seen through post-mental model expressions (a decline in performance by 24.8%) and percentage of assignments turned in (39% of all students turned in the required final report). A non-supportive learning environment was also seen through student comments on the final survey, "I think that all the TA's and the professor have forgotten that we are an intro class". A non-supportive environment clearly does not encourage critical thinking and completion of work. This pilot study showed that the complex learning environment can play a significant role in student learning. It also illustrates the need for future studies in IBL with supportive learning environments in order for students to achieve academic excellence and develop scientific reasoning and critical thinking skills.

A neural learning classifier system with self-adaptive constructivism for mobile robot control.

PubMed

Hurst, Jacob; Bull, Larry

2006-01-01

For artificial entities to achieve true autonomy and display complex lifelike behavior, they will need to exploit appropriate adaptable learning algorithms. In this context adaptability implies flexibility guided by the environment at any given time and an open-ended ability to learn appropriate behaviors. This article examines the use of constructivism-inspired mechanisms within a neural learning classifier system architecture that exploits parameter self-adaptation as an approach to realize such behavior. The system uses a rule structure in which each rule is represented by an artificial neural network. It is shown that appropriate internal rule complexity emerges during learning at a rate controlled by the learner and that the structure indicates underlying features of the task. Results are presented in simulated mazes before moving to a mobile robot platform.

Defining Postsecondary Degrees in the 21st Century

ERIC Educational Resources Information Center

Goldberg, Kenneth I.; Guffey, James; Oliverio, Ponzio

2016-01-01

The competition for jobs in the 21st century is increasingly being driven by defining postsecondary learning in light of new and complex environments. To succeed, students must be prepared with knowledge to compete in these environments. Historically, higher education has defined these requirements in their own terms, often through learning…

An Application of Latent Variable Structural Equation Modeling for Experimental Research in Educational Technology

ERIC Educational Resources Information Center

Lee, Hyeon Woo

2011-01-01

As the technology-enriched learning environments and theoretical constructs involved in instructional design become more sophisticated and complex, a need arises for equally sophisticated analytic methods to research these environments, theories, and models. Thus, this paper illustrates a comprehensive approach for analyzing data arising from…

Designing, Implementing and Evaluating Preclinical Simulation Lab for Maternity Nursing Course

ERIC Educational Resources Information Center

ALFozan, Haya; El Sayed, Yousria; Habib, Farida

2015-01-01

Background: The opportunity for students to deliver care safely in today's, complex health care environment is limited. Simulation allows students to practice skills in a safe environment. Purpose: to assess the students' perception, satisfaction, and learning outcomes after a simulation based maternity course. Method: a quasi experimental design…

The Impact of Adaptive Complex Assessment on the HOT Skill Development of Students

ERIC Educational Resources Information Center

Raiyn, Jamal; Tilchin, Oleg

2016-01-01

In this paper we propose a method for the adaptive complex assessment (ACA) of the higher-order thinking (HOT) skills needed by students for problem solving, and we examine the impact of the method on the development of HOT skills in a problem-based learning (PBL) environment. Complexity in the assessment is provided by initial, formative, and…

Broadening conceptions of learning in medical education: the message from teamworking.

PubMed

Bleakley, Alan

2006-02-01

There is a mismatch between the broad range of learning theories offered in the wider education literature and a relatively narrow range of theories privileged in the medical education literature. The latter are usually described under the heading of 'adult learning theory'. This paper critically addresses the limitations of the current dominant learning theories informing medical education. An argument is made that such theories, which address how an individual learns, fail to explain how learning occurs in dynamic, complex and unstable systems such as fluid clinical teams. Models of learning that take into account distributed knowing, learning through time as well as space, and the complexity of a learning environment including relationships between persons and artefacts, are more powerful in explaining and predicting how learning occurs in clinical teams. Learning theories may be privileged for ideological reasons, such as medicine's concern with autonomy. Where an increasing amount of medical education occurs in workplace contexts, sociocultural learning theories offer a best-fit exploration and explanation of such learning. We need to continue to develop testable models of learning that inform safe work practice. One type of learning theory will not inform all practice contexts and we need to think about a range of fit-for-purpose theories that are testable in practice. Exciting current developments include dynamicist models of learning drawing on complexity theory.

The desktop interface in intelligent tutoring systems

NASA Technical Reports Server (NTRS)

Baudendistel, Stephen; Hua, Grace

1987-01-01

The interface between an Intelligent Tutoring System (ITS) and the person being tutored is critical to the success of the learning process. If the interface to the ITS is confusing or non-supportive of the tutored domain, the effectiveness of the instruction will be diminished or lost entirely. Consequently, the interface to an ITS should be highly integrated with the domain to provide a robust and semantically rich learning environment. In building an ITS for ZetaLISP on a LISP Machine, a Desktop Interface was designed to support a programming learning environment. Using the bitmapped display, windows, and mouse, three desktops were designed to support self-study and tutoring of ZetaLISP. Through organization, well-defined boundaries, and domain support facilities, the desktops provide substantial flexibility and power for the student and facilitate learning ZetaLISP programming while screening the student from the complex LISP Machine environment. The student can concentrate on learning ZetaLISP programming and not on how to operate the interface or a LISP Machine.

Local Learning Strategies for Wake Identification

NASA Astrophysics Data System (ADS)

Colvert, Brendan; Alsalman, Mohamad; Kanso, Eva

2017-11-01

Swimming agents, biological and engineered alike, must navigate the underwater environment to survive. Tasks such as autonomous navigation, foraging, mating, and predation require the ability to extract critical cues from the hydrodynamic environment. A substantial body of evidence supports the hypothesis that biological systems leverage local sensing modalities, including flow sensing, to gain knowledge of their global surroundings. The nonlinear nature and high degree of complexity of fluid dynamics makes the development of algorithms for implementing localized sensing in bioinspired engineering systems essentially intractable for many systems of practical interest. In this work, we use techniques from machine learning for training a bioinspired swimmer to learn from its environment. We demonstrate the efficacy of this strategy by learning how to sense global characteristics of the wakes of other swimmers measured only from local sensory information. We conclude by commenting on the advantages and limitations of this data-driven, machine learning approach and its potential impact on broader applications in underwater sensing and navigation.

Adaptive or Transactional Leadership in Current Higher Education: A Brief Comparison

ERIC Educational Resources Information Center

Khan, Natalie

2017-01-01

Higher education institutions operate in a complex environment that includes influence from external factors, new technologies for teaching and learning, globalization, and changing student demographics to name a few. Maneuvering such complexity and change requires a leadership strategy that is flexible and supportive. This paper reviews two…

The Effectiveness of Instruction-Oriented Hypertext Systems Compared to Direct Instruction in E-Learning Environments

ERIC Educational Resources Information Center

Barhoumi, Chokri; Rossi, Pier Giuseppe

2013-01-01

The use of hypertext systems for learning and teaching complex and ill-structured domain of knowledge has been attracting attention in design of instruction. In this context, an experimental research has been conducted to explore the effectiveness of instructional design oriented hypertext systems. Cognitive flexibility hypertext theory is…

Coordinating Decentralized Learning and Conflict Resolution across Agent Boundaries

ERIC Educational Resources Information Center

Cheng, Shanjun

2012-01-01

It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems because of scalability, partial information accessibility and complex interaction of agents. It is a challenge for agents to learn good policies, when they need to plan and…

Modeling of Students' Profile and Learning Chronicle with Data Cubes

ERIC Educational Resources Information Center

Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E.

2014-01-01

Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…

"I'm Ambivalent about It": The Dilemmas of PowerPoint

ERIC Educational Resources Information Center

Hill, Andrea; Arford, Tammi; Lubitow, Amy; Smollin, Leandra M.

2012-01-01

The increasing ubiquity of PowerPoint in the university classroom raises complex questions about pedagogy and the creation of dynamic and effective learning environments. Though much of the sociological teaching literature has focused on engagement and active learning, very little of this work has addressed the presence of PowerPoint in sociology…

Subgroup Discovery with User Interaction Data: An Empirically Guided Approach to Improving Intelligent Tutoring Systems

ERIC Educational Resources Information Center

Poitras, Eric G.; Lajoie, Susanne P.; Doleck, Tenzin; Jarrell, Amanda

2016-01-01

Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer-based learning environments (CBLE). Researchers and designers are…

Telling Reflections: Teaching Sustainably in a Complex Learning Environment

ERIC Educational Resources Information Center

Prescott, Debbie

2016-01-01

This article examines learning design in a postgraduate preservice teacher setting. The overarching aim was to embed environmentally responsive approaches throughout two companion units for diverse student cohorts. This article reports on a teacher educator self-study in a regional university with extensive online delivery for large units (300-800…

A Conceptual Model and Evaluation Process for Educational Technology Learning Resources: A Legal Case Study

ERIC Educational Resources Information Center

McDonald, Jacquie; McPhail, Janelle; Maguire, Michael; Millett, Bruce

2004-01-01

The University of Southern Queensland (USQ), Australia, has more than 25 years experience in distributed education. More recently, USQ has embraced information and communication technologies to delivery learning resources in a more integrated and interactive environment to on-campus and external students. To understand the complex reactions of…

Promoting Perseverance and Challenge in Physical Education: The Missing Ingredient for Improved Games Teaching

ERIC Educational Resources Information Center

Sproule, John; Ollis, Stewart; Gray, Shirley; Thorburn, Malcolm; Allison, Pete; Horton, Peter

2011-01-01

This paper explores critical notions about how improved understandings of students learning experiences within practical learning environments could sensitise teachers to appreciate the complex influences more that affect how levels of challenge and perseverance are constructed by students. The authors, in furthering their critique, build on the…

A Critical Analysis of Hypermedia and Virtual Learning Environments.

ERIC Educational Resources Information Center

Oliver, Kevin M.

The use of hypermedia in education is supported by cognitive flexibility theory which indicates transfer of knowledge to real-world settings is improved when that material is learned in a case-based, associative network emphasizing complexity and links to related information. Hypermedia is further assumed to benefit education, because it resembles…

System for Training Aviation Regulations (STAR): Using Multiple Vantage Points To Learn Complex Information through Scenario-Based Instruction and Multimedia Techniques.

ERIC Educational Resources Information Center

Chandler, Terrell N.

1996-01-01

The System for Training of Aviation Regulations (STAR) provides comprehensive training in understanding and applying Federal aviation regulations. STAR gives multiple vantage points with multimedia presentations and storytelling within four categories of learning environments: overviews, scenarios, challenges, and resources. Discusses the…

Introductory Accounting Students' Motives, Expectations and Preparedness for Higher Education: Some Portuguese Evidence

ERIC Educational Resources Information Center

Teixeira, Cláudia; Gomes, Delfina; Borges, Janete

2015-01-01

In Portugal, the massive expansion and diversification of higher education has led to a large and diverse student population. This has impacted on the complexity of the higher education learning environment and has implications for the teaching and learning activities. Thus, the current study examines Portuguese introductory accounting students'…

Fast and Epsilon-Optimal Discretized Pursuit Learning Automata.

PubMed

Zhang, JunQi; Wang, Cheng; Zhou, MengChu

2015-10-01

Learning automata (LA) are powerful tools for reinforcement learning. A discretized pursuit LA is the most popular one among them. During an iteration its operation consists of three basic phases: 1) selecting the next action; 2) finding the optimal estimated action; and 3) updating the state probability. However, when the number of actions is large, the learning becomes extremely slow because there are too many updates to be made at each iteration. The increased updates are mostly from phases 1 and 3. A new fast discretized pursuit LA with assured ε -optimality is proposed to perform both phases 1 and 3 with the computational complexity independent of the number of actions. Apart from its low computational complexity, it achieves faster convergence speed than the classical one when operating in stationary environments. This paper can promote the applications of LA toward the large-scale-action oriented area that requires efficient reinforcement learning tools with assured ε -optimality, fast convergence speed, and low computational complexity for each iteration.

A care improvement program acting as a powerful learning environment to support nursing students learning facilitation competencies.

PubMed

Jukema, Jan S; Harps-Timmerman, Annelies; Stoopendaal, Annemiek; Smits, Carolien H M

2015-11-01

Change management is an important area of training in undergraduate nursing education. Successful change management in healthcare aimed at improving practices requires facilitation skills that support teams in attaining the desired change. Developing facilitation skills in nursing students requires formal educational support. A Dutch Regional Care Improvement Program based on a nationwide format of change management in healthcare was designed to act as a Powerful Learning Environment for nursing students developing competencies in facilitating change. This article has two aims: to provide comprehensive insight into the program components and to describe students' learning experiences in developing their facilitation skills. This Dutch Regional Care Improvement Program considers three aspects of a Powerful Learning Environment: self-regulated learning; problem-based learning; and complex, realistic and challenging learning tasks. These three aspects were operationalised in five distinct areas of facilitation: increasing awareness of the need for change; leadership and project management; relationship building and communication; importance of the local context; and ongoing monitoring and evaluation. Over a period of 18 months, 42 nursing students, supported by trained lecturer-coaches, took part in nine improvement teams in our Regional Care Improvement Program, executing activities in all five areas of facilitation. Based on the students' experiences, we propose refinements to various components of this program, aimed at strengthenin the learning environment. There is a need for further detailed empirical research to study the impact this kind of learning environment has on students developing facilitation competencies in healthcare improvement. Copyright © 2015 Elsevier Ltd. All rights reserved.

Specialized hybrid learners resolve Rogers' paradox about the adaptive value of social learning.

PubMed

Kharratzadeh, Milad; Montrey, Marcel; Metz, Alex; Shultz, Thomas R

2017-02-07

Culture is considered an evolutionary adaptation that enhances reproductive fitness. A common explanation is that social learning, the learning mechanism underlying cultural transmission, enhances mean fitness by avoiding the costs of individual learning. This explanation was famously contradicted by Rogers (1988), who used a simple mathematical model to show that cheap social learning can invade a population without raising its mean fitness. He concluded that some crucial factor remained unaccounted for, which would reverse this surprising result. Here we extend this model to include a more complex environment and limited resources, where individuals cannot reliably learn everything about the environment on their own. Under such conditions, cheap social learning evolves and enhances mean fitness, via hybrid learners capable of specializing their individual learning. We then show that while spatial or social constraints hinder the evolution of hybrid learners, a novel social learning strategy, complementary copying, can mitigate these effects. Copyright © 2016 Elsevier Ltd. All rights reserved.

Causal learning is collaborative: Examining explanation and exploration in social contexts.

PubMed

Legare, Cristine H; Sobel, David M; Callanan, Maureen

2017-10-01

Causal learning in childhood is a dynamic and collaborative process of explanation and exploration within complex physical and social environments. Understanding how children learn causal knowledge requires examining how they update beliefs about the world given novel information and studying the processes by which children learn in collaboration with caregivers, educators, and peers. The objective of this article is to review evidence for how children learn causal knowledge by explaining and exploring in collaboration with others. We review three examples of causal learning in social contexts, which elucidate how interaction with others influences causal learning. First, we consider children's explanation-seeking behaviors in the form of "why" questions. Second, we examine parents' elaboration of meaning about causal relations. Finally, we consider parents' interactive styles with children during free play, which constrains how children explore. We propose that the best way to understand children's causal learning in social context is to combine results from laboratory and natural interactive informal learning environments.

Incremental learning of skill collections based on intrinsic motivation

PubMed Central

Metzen, Jan H.; Kirchner, Frank

2013-01-01

Life-long learning of reusable, versatile skills is a key prerequisite for embodied agents that act in a complex, dynamic environment and are faced with different tasks over their lifetime. We address the question of how an agent can learn useful skills efficiently during a developmental period, i.e., when no task is imposed on him and no external reward signal is provided. Learning of skills in a developmental period needs to be incremental and self-motivated. We propose a new incremental, task-independent skill discovery approach that is suited for continuous domains. Furthermore, the agent learns specific skills based on intrinsic motivation mechanisms that determine on which skills learning is focused at a given point in time. We evaluate the approach in a reinforcement learning setup in two continuous domains with complex dynamics. We show that an intrinsically motivated, skill learning agent outperforms an agent which learns task solutions from scratch. Furthermore, we compare different intrinsic motivation mechanisms and how efficiently they make use of the agent's developmental period. PMID:23898265

E-Learning as a new tool in bioinformatics teaching

PubMed Central

Saravanan, Vijayakumar; Shanmughavel, Piramanayagam

2007-01-01

In recent years, virtual learning is growing rapidly. Universities, colleges, and secondary schools are now delivering training and education over the internet. Beside this, resources available over the WWW are huge and understanding the various techniques employed in the field of Bioinformatics is increasingly complex for students during implementation. Here, we discuss its importance in developing and delivering an educational system in Bioinformatics based on e-learning environment. PMID:18292800

Constructing Temporally Extended Actions through Incremental Community Detection

PubMed Central

Li, Ge

2018-01-01

Hierarchical reinforcement learning works on temporally extended actions or skills to facilitate learning. How to automatically form such abstraction is challenging, and many efforts tackle this issue in the options framework. While various approaches exist to construct options from different perspectives, few of them concentrate on options' adaptability during learning. This paper presents an algorithm to create options and enhance their quality online. Both aspects operate on detected communities of the learning environment's state transition graph. We first construct options from initial samples as the basis of online learning. Then a rule-based community revision algorithm is proposed to update graph partitions, based on which existing options can be continuously tuned. Experimental results in two problems indicate that options from initial samples may perform poorly in more complex environments, and our presented strategy can effectively improve options and get better results compared with flat reinforcement learning. PMID:29849543

Reinforcement learning in computer vision

NASA Astrophysics Data System (ADS)

Bernstein, A. V.; Burnaev, E. V.

2018-04-01

Nowadays, machine learning has become one of the basic technologies used in solving various computer vision tasks such as feature detection, image segmentation, object recognition and tracking. In many applications, various complex systems such as robots are equipped with visual sensors from which they learn state of surrounding environment by solving corresponding computer vision tasks. Solutions of these tasks are used for making decisions about possible future actions. It is not surprising that when solving computer vision tasks we should take into account special aspects of their subsequent application in model-based predictive control. Reinforcement learning is one of modern machine learning technologies in which learning is carried out through interaction with the environment. In recent years, Reinforcement learning has been used both for solving such applied tasks as processing and analysis of visual information, and for solving specific computer vision problems such as filtering, extracting image features, localizing objects in scenes, and many others. The paper describes shortly the Reinforcement learning technology and its use for solving computer vision problems.

Evaluating the use of augmented reality to support undergraduate student learning in geomorphology

NASA Astrophysics Data System (ADS)

Ockelford, A.; Bullard, J. E.; Burton, E.; Hackney, C. R.

2016-12-01

Augmented Reality (AR) supports the understanding of complex phenomena by providing unique visual and interactive experiences that combine real and virtual information and help communicate abstract problems to learners. With AR, designers can superimpose virtual graphics over real objects, allowing users to interact with digital content through physical manipulation. One of the most significant pedagogic features of AR is that it provides an essentially student-centred and flexible space in which students can learn. By actively engaging participants using a design-thinking approach, this technology has the potential to provide a more productive and engaging learning environment than real or virtual learning environments alone. AR is increasingly being used in support of undergraduate learning and public engagement activities across engineering, medical and humanities disciplines but it is not widely used across the geosciences disciplines despite the obvious applicability. This paper presents preliminary results from a multi-institutional project which seeks to evaluate the benefits and challenges of using an augmented reality sand box to support undergraduate learning in geomorphology. The sandbox enables users to create and visualise topography. As the sand is sculpted, contours are projected onto the miniature landscape. By hovering a hand over the box, users can make it `rain' over the landscape and the water `flows' down in to rivers and valleys. At undergraduate level, the sand-box is an ideal focus for problem-solving exercises, for example exploring how geomorphology controls hydrological processes, how such processes can be altered and the subsequent impacts of the changes for environmental risk. It is particularly valuable for students who favour a visual or kinesthetic learning style. Results presented in this paper discuss how the sandbox provides a complex interactive environment that encourages communication, collaboration and co-design.

Designing instruction to support mechanical reasoning: Three alternatives in the simple machines learning environment

NASA Astrophysics Data System (ADS)

McKenna, Ann Frances

2001-07-01

Creating a classroom environment that fosters a productive learning experience and engages students in the learning process is a complex endeavor. A classroom environment is dynamic and requires a unique synergy among students, teacher, classroom artifacts and events to achieve robust understanding and knowledge integration. This dissertation addresses this complex issue by developing, implementing, and investigating the simple machines learning environment (SIMALE) to support students' mechanical reasoning and understanding. SIMALE was designed to support reflection, collaborative learning, and to engage students in generative learning through multiple representations of concepts and successive experimentation and design activities. Two key components of SIMALE are an original web-based software tool and hands-on Lego activities. A research study consisting of three treatment groups was created to investigate the benefits of hands-on and web-based computer activities on students' analytic problem solving ability, drawing/modeling ability, and conceptual understanding. The study was conducted with two populations of students that represent a diverse group with respect to gender, ethnicity, academic achievement and social/economic status. One population of students in this dissertation study participated from the Mathematics, Engineering, and Science Achievement (MESA) program that serves minorities and under-represented groups in science and mathematics. The second group was recruited from the Academic Talent Development Program (ATDP) that is an academically competitive outreach program offered through the University of California at Berkeley. Results from this dissertation show success of the SIMALE along several dimensions. First, students in both populations achieved significant gains in analytic problem solving ability, drawing/modeling ability, and conceptual understanding. Second, significant differences that were found on pre-test measures were eliminated on post-test measures. Specifically, female students scored significantly lower than males on the overall pre-tests but scored as well as males on the same post-test measures. MESA students also scored significantly lower than ATDP students on pre-test measures but both populations scored equally well on the post-tests. This dissertation has therefore shown the SIMALE to support a collaborative, reflective, and generative learning environment. Furthermore, the SIMALE clearly contributes to students' mechanical reasoning and understanding of simple machines concepts for a diverse population of students.

Social cognitive theory, metacognition, and simulation learning in nursing education.

PubMed

Burke, Helen; Mancuso, Lorraine

2012-10-01

Simulation learning encompasses simple, introductory scenarios requiring response to patients' needs during basic hygienic care and during situations demanding complex decision making. Simulation integrates principles of social cognitive theory (SCT) into an interactive approach to learning that encompasses the core principles of intentionality, forethought, self-reactiveness, and self-reflectiveness. Effective simulation requires an environment conducive to learning and introduces activities that foster symbolic coding operations and mastery of new skills; debriefing builds self-efficacy and supports self-regulation of behavior. Tailoring the level of difficulty to students' mastery level supports successful outcomes and motivation to set higher standards. Mindful selection of simulation complexity and structure matches course learning objectives and supports progressive development of metacognition. Theory-based facilitation of simulated learning optimizes efficacy of this learning method to foster maturation of cognitive processes of SCT, metacognition, and self-directedness. Examples of metacognition that are supported through mindful, theory-based implementation of simulation learning are provided. Copyright 2012, SLACK Incorporated.

Collaboration Modality, Cognitive Load, and Science Inquiry Learning in Virtual Inquiry Environments

ERIC Educational Resources Information Center

Erlandson, Benjamin E.; Nelson, Brian C.; Savenye, Wilhelmina C.

2010-01-01

Educational multi-user virtual environments (MUVEs) have been shown to be effective platforms for situated science inquiry curricula. While researchers find MUVEs to be supportive of collaborative scientific inquiry processes, the complex mix of multi-modal messages present in MUVEs can lead to cognitive overload, with learners unable to…

Ethics Education and Scientific and Engineering Research: What's Been Learned? What Should Be Done? Summary of a Workshop

ERIC Educational Resources Information Center

Hollander, Rachelle, Ed.; Arenberg, Carol R., Ed.

2009-01-01

Increasing complexity and competitiveness in research environments, the prevalence of interdisciplinary and international involvement in research projects, and the close coupling of commerce and academia have created an ethically challenging environment for young scientists and engineers. For the past several decades, federal research agencies…

School Search and Seizure Law: A Guideline for K-12 Administrators

ERIC Educational Resources Information Center

Frandsen, Scott

2010-01-01

In an effort to safeguard the learning environment, school administrators generally rely on district or local school guidelines and professional judgment. With new technology, the proliferation of drug use, and increased school violence, schools have become a complex environment to manage for both system and local leadership. Administrators are…

Learning to Manage Intergroup Dynamics in Changing Task Environments: An Experiential Exercise

ERIC Educational Resources Information Center

Hunsaker, Phillip L.

2004-01-01

This article describes an exercise that allows participants to experience the challenges of managing intergroup behavior as an organization's task environment grows and becomes more complex. The article begins with a brief review of models and concepts relating to intergroup dynamics, intergroup conflict, and interventions for effectively managing…

Coral-View: A Network-Based Design Environment for Collaborative Learning

ERIC Educational Resources Information Center

Sun, Chuen-Tsai; Lin, Sunny S. J.

2004-01-01

The vast majority of complex engineering tasks in today's business world are completed using a team-oriented approach. Therefore, teaching collaborative skills to university students can be viewed as a practical means of enhancing their employability. With these goals in mind, the authors developed a network environment that helps Taiwanese…

Prompting in Web-Based Environments: Supporting Self-Monitoring and Problem Solving Skills in College Students

ERIC Educational Resources Information Center

Kauffman, Douglas F.; Ge, Xun; Xie, Kui; Chen, Ching-Huei

2008-01-01

This study explored Metacognition and how automated instructional support in the form of problem-solving and self-reflection prompts influenced students' capacity to solve complex problems in a Web-based learning environment. Specifically, we examined the independent and interactive effects of problem-solving prompts and reflection prompts on…

Earth Day 2018 Activities

NASA Image and Video Library

2018-04-17

During the annual Earth Day celebration at the Kennedy Space Center Visitor Complex, Shari Blissett-Clark of the Florida Bat Conservancy displays one of the mammals. The event took place during the annual Earth Day celebration at the Kennedy Space Center Visitor Complex, guests have an opportunity to learn more about energy awareness, the environment and sustainability.

The Role of Awareness for Complex Planning Task Performance: A Microgaming Study

ERIC Educational Resources Information Center

Lukosch, Heide; Groen, Daan; Kurapati, Shalini; Klemke, Roland; Verbraeck, Alexander

2016-01-01

This study introduces the concept of microgames to support situated learning in order to foster situational awareness (SA) of planners in seaport container terminals. In today's complex working environments, it is often difficult to develop the required level of understanding of a given situation, described as situational awareness. A container…

Challenges in Aligning Workplace Learning with Business Goals: A Perspective from HRD Professionals in New Zealand

ERIC Educational Resources Information Center

Short, Tom; Harris, Roger

2010-01-01

Modern organisations have become more complex, less mechanistic and increasingly sensitive to rapid changes in the external environment than in previous eras. Today, executives lead employees through a maze of complexity and changing contexts. However, another group of dedicated professionals, the human resource managers and practitioners, also…

School-Based Study of Complex Environmental Exposures and Related Health Effects in Children: Part A - Exposure. Final Report and Executive Summary.

ERIC Educational Resources Information Center

Minnesota Univ., Minneapolis. School of Public Health.

The School Health Initiative: Environment, Learning, and Disease (SHIELD) study examined children's exposure to complex mixtures of environmental agents (i.e., volatile organic chemicals, environmental tobacco smoke, allergens, bioaerosols, metals, and pesticides). Environmental, personal, and biological data were collected on ethnically and…

Classroom Use of a Verbal Measure of Information Rate: An Exploratory Study.

ERIC Educational Resources Information Center

Finkler, Deana; Thompson, Patricia

The Verbal Measure of Information Rate (VMIR) is a measure of information rate which reflects the elements, features, and changes in a complex environment. Subjects rated 14 bipolar adjective pairs to indicate an appropriate description of the learning situation or information load (simple-complex, novel-familiar). The measure was administered to…

Video-Enhanced Training to Support Professional Development in Elementary Science Teaching: A Beginning Teacher's Experience

ERIC Educational Resources Information Center

Hamel, Christine; Viau-Guay, Anabelle; Ria, Luc; Dion-Routhier, Justine

2018-01-01

Elementary teachers are expected to teach complex and authentic lessons and integrating multiple disciplines. In so doing, they must take many elements into account, such as disciplinary content, learning standards, and pedagogical knowledge, in an ever more complex environment, including pupils' increasingly heterogeneous characteristics. Our…

Complexity Framework for Sustainability: An Analysis of Five Papers

ERIC Educational Resources Information Center

Putnik, Goran D.

2009-01-01

Purpose: The purpose of this paper is to present an examination of the concepts and mechanisms of complexity and learning usability and applicability for management in turbulent environments as well as their examination through the Chaordic system thinking (CST) lenses and framework. Contributing to awareness of how different mechanisms could be…

Patterns in clinical students' self-regulated learning behavior: a Q-methodology study.

PubMed

Berkhout, Joris J; Teunissen, Pim W; Helmich, Esther; van Exel, Job; van der Vleuten, Cees P M; Jaarsma, Debbie A D C

2017-03-01

Students feel insufficiently supported in clinical environments to engage in active learning and achieve a high level of self-regulation. As a result clinical learning is highly demanding for students. Because of large differences between students, supervisors may not know how to support them in their learning process. We explored patterns in undergraduate students' self-regulated learning behavior in the clinical environment, to improve tailored supervision, using Q-methodology. Q-methodology uses features of both qualitative and quantitative methods for the systematic investigation of subjective issues by having participants sort statements along a continuum to represent their opinion. We enrolled 74 students between December 2014 and April 2015 and had them characterize their learning behavior by sorting 52 statements about self-regulated learning behavior and explaining their response. The statements used for the sorting were extracted from a previous study. The data was analyzed using by-person factor analysis to identify clusters of individuals with similar sorts of the statements. The resulting factors and qualitative data were used to interpret and describe the patterns that emerged. Five resulting patterns were identified in students' self-regulated learning behavior in the clinical environment, which we labelled: Engaged, Critically opportunistic, Uncertain, Restrained and Effortful. The five patterns varied mostly regarding goals, metacognition, communication, effort, and dependence on external regulation for learning. These discrete patterns in students' self-regulated learning behavior in the clinical environment are part of a complex interaction between student and learning context. The results suggest that developing self-regulated learning behavior might best be supported regarding individual students' needs.

Metacognitive Support Promotes an Effective Use of Instructional Resources in Intelligent Tutoring

ERIC Educational Resources Information Center

Schwonke, Rolf; Ertelt, Anna; Otieno, Christine; Renkl, Alexander; Aleven, Vincent; Salden, Ron J. C. M.

2013-01-01

We tested whether the provision of metacognitive knowledge on how to cope with the complexity of a learning environment improved learning. In an experimental setting, high-school students (N = 60) worked through a computer-based geometry lesson either with or without metacognitive support in the form of a cue card. This cue card encouraged…

Contextual Complexity: The Professional Learning Experiences of Seven Classroom Teachers When Engaged in "Quality Teaching"

ERIC Educational Resources Information Center

Edge, Ken; Reynolds, Ruth; O'Toole, Mitch

2015-01-01

This research study interrogates the self-reported perceptions of seven experienced Human Society and Its Environment (HSIE) teachers about the professional learning influencing their classroom teaching after being involved in a number of initiatives to improve their teaching in New South Wales (Australia). The results indicated that the teachers'…

The Effect of Organizational Learning Patterns on Leading Strategic Change among Higher Education Institutions of Ethiopia

ERIC Educational Resources Information Center

Olla, Woyita W.

2013-01-01

Innovations and reforms are crucial for both public and Christian higher education institutions in order to survive and thrive in an increasingly complex and turbulent today's environment. Although there is a plethora of literature on strategic change, the effect of organizational learning on leading strategic change has been barely investigated…

The Role of Work-Related Learning in the Identity Transformation of Canadian Workers with Low Literacy Skills

ERIC Educational Resources Information Center

Taylor, Maurice C.; Trumpower, David L.; Purse, Edward R.

2015-01-01

Workplaces are settings where power, knowledge and self are brought together in a complex social environment which includes various forms of struggle related to identity, agency, socio-cultural norms, political structures and functional practices. The purpose of this article is to uncover how formal and informal work-related learning processes…

Fostering Third-Grade Students' Use of Scientific Models with the Water Cycle: Elementary Teachers' Conceptions and Practices

ERIC Educational Resources Information Center

Vo, Tina; Forbes, Cory T.; Zangori, Laura; Schwarz, Christina V.

2015-01-01

Elementary teachers play a crucial role in supporting and scaffolding students' model-based reasoning about natural phenomena, particularly complex systems such as the water cycle. However, little research exists to inform efforts in supporting elementary teachers' learning to foster model-centered, science learning environments. To address this…

Culture Shift: Teaching in a Learner-Centered Environment Powered by Digital Learning. Digital Learning Series

ERIC Educational Resources Information Center

Wolf, Mary Ann

2012-01-01

Preparing all students to succeed in today's increasingly global economy and complex world requires a shift from a teacher-centric culture to learner-centered instruction, according to a new report from the Alliance for Excellent Education. This report examines the characteristics of learner-centered instruction and the support that educators and…

Using Virtual Worlds to Identify Multidimensional Student Engagement in High School Foreign Language Learning Classrooms

ERIC Educational Resources Information Center

Jacob, Laura Beth

2012-01-01

Virtual world environments have evolved from object-oriented, text-based online games to complex three-dimensional immersive social spaces where the lines between reality and computer-generated begin to blur. Educators use virtual worlds to create engaging three-dimensional learning spaces for students, but the impact of virtual worlds in…

Learning Boolean Networks in HepG2 cells using ToxCast High-Content Imaging Data (SOT annual meeting)

EPA Science Inventory

Cells adapt to their environment via homeostatic processes that are regulated by complex molecular networks. Our objective was to learn key elements of these networks in HepG2 cells using ToxCast High-content imaging (HCI) measurements taken over three time points (1, 24, and 72h...

Authentic Education by Providing a Situation for Student-Selected Problem-Based Learning

ERIC Educational Resources Information Center

Strimel, Greg

2014-01-01

Students are seldom given an authentic experience within school that allows them the opportunity to solve real-life complex engineering design problems that have meaning to their lives and/ or the greater society. They are often confined to learning environments that are limited by the restrictions set by course content for assessment purposes and…

An Effective Online Teaching Method: The Combination of Collaborative Learning with Initiation and Self-Regulation Learning with Feedback

ERIC Educational Resources Information Center

Tsai, Chia-Wen

2013-01-01

In modern business environments, work and tasks have become more complex and require more interdisciplinary skills to complete, including collaborative and computing skills for website design. However, the computing education in Taiwan can hardly be recognised as effective in developing and transforming students into competitive employees. In this…

Hybrid Augmented Reality for Participatory Learning: The Hidden Efficacy of Multi-User Game-Based Simulation

ERIC Educational Resources Information Center

Oh, Seungjae; So, Hyo-Jeong; Gaydos, Matthew

2018-01-01

The goal for this research is to articulate and test a new hybrid Augmented Reality (AR) environment for conceptual understanding. From the theoretical lens of embodied interaction, we have designed a multi-user participatory simulation called ARfract where visitors in a science museum can learn about complex scientific concepts on the refraction…

The Correlation of Critical Thinking Disposition and Approaches to Learning among Baccalaureate Nursing Students

ERIC Educational Resources Information Center

Kabeel, Abeer Refaat; Eisa, Sahar Abd El-Mohsen Mosa

2016-01-01

Background: Part of the 21st century skills is critical thinking and learning approaches of students. A part of that resurgence can be attributable to several studies on critical thinking, logic, and thinking skills. Health care professionals are challenged by the complexities of the health care environment. The practice of nursing requires…

An Analysis of Learning Algorithms in Complex Stochastic Environments

DTIC Science & Technology

2007-06-01

Learning: An Introduction , [online] http://www.cs.ualberta.ca/%7Esutton/book/ ebook /the-book.html last accessed 19 May 2007. [4] Begleiter, Ron et al...TABLE OF CONTENTS I. INTRODUCTION ........................................................................................................1 A...support in everything I have done. Thank you for believing in me. xiv THIS PAGE INTENTIONALLY LEFT BLANK 1 I. INTRODUCTION A. BACKGROUND

Formal Learning Sequences and Progression in the Studio: A Framework for Digital Design Education

ERIC Educational Resources Information Center

Wärnestål, Pontus

2016-01-01

This paper examines how to leverage the design studio learning environment throughout long-term Digital Design education in order to support students to progress from tactical, well-defined, device-centric routine design, to confidently design sustainable solutions for strategic, complex, problems for a wide range of devices and platforms in the…

From Orientation Needs to Developmental Realities: The Honors First-Year Seminar in a National Context

ERIC Educational Resources Information Center

Vander Zee, Anton; Folds-Bennett, Trisha; Meyer-Bernstein, Elizabeth; Reardon, Brendan

2016-01-01

The transition into college remains one of the most formative and complex phases in an individual's life. Institutions of higher learning have responded to the challenges facing first-year students in myriad ways, most often by offering summer orientation programs, dynamic living-learning environments, tailored academic and psychological support…

"I'm the Same Teacher": The Attitudes of Science and Computer Literacy Teachers Regarding Integrating ICT in Instruction to Advance Meaningful Learning

ERIC Educational Resources Information Center

Steiner, Dasi; Mendelovitch, Miriam

2017-01-01

The communications revolution reaches all sectors of the population and makes information accessible to all. This development presents complex challenges which require changes in the education system, teaching methods and learning environment. The integration of ICT (Information and Communications Technology) and science teaching requires…

The Acquisition of Skill and Expertise in Massively Multiplayer Online Games

ERIC Educational Resources Information Center

Schrader, P. G.; McCreery, Michael

2008-01-01

Educational learning environments have changed dramatically in the last 20 years. Advances in technology have enabled the World Wide Web and a sundry of other tools. In response, many researchers have argued that one way to understand learning in a complex world is to examine user interactions within Massively Multiplayer Online Games (MMOGs) [Gee…

Path Analysis on the Factors Influencing Learning Outcome for Hospitality Interns--From the Flow Theory Perspective

ERIC Educational Resources Information Center

Wang, Shu-Tai; Chen, Cheng-Chung

2015-01-01

Learning outcome is an important indicator for educators in evaluating curriculum design. The focus of this study has been to examine the factors within internship programs, recognizing the complex nature of knowledge application in a practical industry environment. Flow theory was adopted to explain the psychological state of hospitality students…

An Evidence Centered Design for Learning and Assessment in the Digital World. CRESST Report 778

ERIC Educational Resources Information Center

Behrens, John T.; Mislevy, Robert J.; DiCerbo, Kristen E.; Levy, Roy

2010-01-01

The world in which learning and assessment must take place is rapidly changing. The digital revolution has created a vast space of interconnected information, communication, and interaction. Functioning effectively in this environment requires so-called 21st century skills such as technological fluency, complex problem solving, and the ability to…

Field Studies—Essential Cognitive Foundations for Geoscience Expertise

NASA Astrophysics Data System (ADS)

Goodwin, C.; Mogk, D. W.

2010-12-01

Learning in the field has traditionally been one of the fundamental components of the geoscience curriculum. Field experiences have been attributed to having positive impacts on cognitive, affective, metacognitive, mastery of skills and social components of learning geoscience. The development of geoscience thinking, and of geoscience expertise, encompasses a number of learned behaviors that contribute to the progress of Science and the development of scientists. By getting out into Nature, students necessarily engage active and experiential learning. The open, dynamic, heterogeneous and complex Earth system provides ample opportunities to learn by inquiry and discovery. Learning in this environment requires that students make informed decisions and to think critically about what is important to observe, and what should be excluded in the complex overload of information provided by Nature. Students must learn to employ the full range of cognitive skills that include observation, description, interpretation, analysis and synthesis that lead to “deep learning”. They must be able to integrate and rationalize observations of Nature with modern experimental, analytical, theoretical, and modeling approaches to studying the Earth system, and they must be able to iterate between what is known and what is yet to be discovered. Immersion in the field setting provides students with a sense of spatial and temporal scales of natural phenomena that can not be derived in other learning environments. The field setting provides strong sensory inputs that stimulate cognition and memories that will be available for future application. The field environment also stimulates strong affective responses related to motivation, curiosity, a sense of “ownership” of field projects, and inclusion in shared experiences that carry on throughout professional careers. The nature of field work also contains a strong metacognitive component, as students learn to be aware of what and how they are learning in the field, regulate and modify their activities, and plan for future work.Embodied practice in the field shows students how to explore and interrogate nature, and how to interact and learn from other scientists. Learning geoscience is a social enterprise, requiring a long apprenticeship through which newcomers learn about Nature by working with competent senior practitioners in the settings where relevant nature is systematically studied. Learned social practices include the ability to enhance understanding of natural phenomena by constructing appropriate representations (inscriptions), knowing how to select and use appropriate tools, engaging the accepted community of practice, adopting professional standards and values, and the ability to contribute to geoscience discourse about the complex world. Both tools and the ability to locate perspicuous sites in the environment must be mastered so that representations can be made of structures in the landscape that cannot actually be seen from any single point of view to obtain a holistic and integrated interpretation of Earth history and processes. Sustained development of these cognitive strategies and skills is essential to the professional development of all geoscientists.

How can we cope with the complexity of the environment? A "Learning by modelling" approach using qualitative reasoning for developing causal models and simulations with focus on Sustainable River Catchment Management

NASA Astrophysics Data System (ADS)

Poppe, Michaela; Zitek, Andreas; Salles, Paulo; Bredeweg, Bert; Muhar, Susanne

2010-05-01

The education system needs strategies to attract future scientists and practitioners. There is an alarming decline in the number of students choosing science subjects. Reasons for this include the perceived complexity and the lack of effective cognitive tools that enable learners to acquire the expertise in a way that fits its qualitative nature. The DynaLearn project utilises a "Learning by modelling" approach to deliver an individualised and engaging cognitive tool for acquiring conceptual knowledge. The modelling approach is based on qualitative reasoning, a research area within artificial intelligence, and allows for capturing and simulating qualitative systems knowledge. Educational activities within the DynaLearn software address topics at different levels of complexity, depending on the educational goals and settings. DynaLearn uses virtual characters in the learning environment as agents for engaging and motivating the students during their modelling exercise. The DynaLearn software represents an interactive learning environment in which learners are in control of their learning activities. The software is able to coach them individually based on their current progress, their knowledge needs and learning goals. Within the project 70 expert models on different environmental issues covering seven core topics (Earth Systems and Resources, The Living World, Human population, Land and Water Use, Energy Resources and Consumption, Pollution, and Global Changes) will be delivered. In the context of the core topic "Land and Water Use" the Institute of Hydrobiology and Aquatic Ecosystem Management has developed a model on Sustainable River Catchment Management. River systems with their catchments have been tremendously altered due to human pressures with serious consequences for the ecological integrity of riverine landscapes. The operation of hydropower plants, the implementation of flood protection measures, the regulation of flow and sediment regime and intensive land use in the catchments have created ecological problems. A sustainable, catchment-wide management of riverine landscapes is needed and stated by water right acts, e.g. the European Water Framework and Floods Directive. This interdisciplinary approach needs the integration of natural riverine processes, flood protection, resource management, landscape planning, and social and political aspects to achieve a sustainable development. Therefore the model shows the effects of different management strategies concerning flood protection, restoration measures and land use. The model illustrates the wide range of ecosystem services of riverine landscapes that contribute to human well-being such as water supply, hydropower generation, flood regulation, and recreational opportunities. The effects of different land use strategies in the catchment are highlighted by means of the Driver-Pressure-State-Impact-Response (DPSIR) framework. The model is used to support activities of students at the University as well as at High School within the DynaLearn Software to promote scientific culture in the secondary education system. Model fragments allow learners to re-use parts of the existing model at different levels of complexity. But learners can also construct their own conceptual system knowledge, either individually or in a collaborative setting, and using the model as a reference for comparisons of their own understanding. Of special interest for the DynaLearn project is the intended development of interdisciplinary and social skills like cooperative working, cross-linked thinking, problem solving, decision-making, and the identification of the conflicts between environment, economy, legislation, science, technology, and society. A comprehensive evaluation of the DynaLearn software is part of the project. To be effective, science education should focus on understanding scientific concepts and on application of scientific knowledge to everyday life. Conceptual knowledge of systems behaviour is crucial for society to understand and successfully interact with its environment. The transfer of environmental-scientific knowledge by means of the DynaLearn software to wide parts of the society can be regarded as an important contribution to that, and contributes to foster a life-long learning process.

The role of learning environment on high school chemistry students' motivation and self-regulatory processes

NASA Astrophysics Data System (ADS)

Judd, Jeffrey S.

Changes to the global workforce and technological advancements require graduating high school students to be more autonomous, self-directed, and critical in their thinking. To reflect societal changes, current educational reform has focused on developing more problem-based, collaborative, and student-centered classrooms to promote effective self-regulatory learning strategies, with the goal of helping students adapt to future learning situations and become life-long learners. This study identifies key features that may characterize these "powerful learning environments", which I term "high self-regulating learning environments" for ease of discussion, and examine the environment's role on students' motivation and self-regulatory processes. Using direct observation, surveys, and formal and informal interviews, I identified perceptions, motivations, and self-regulatory strategies of 67 students in my high school chemistry classes as they completed academic tasks in both high and low self-regulating learning environments. With social cognitive theory as a theoretical framework, I then examined how students' beliefs and processes changed after they moved from low to a high self-regulating learning environment. Analyses revealed that key features such as task meaning, utility, complexity, and control appeared to play a role in promoting positive changes in students' motivation and self-regulation. As embedded cases, I also included four students identified as high self-regulating, and four students identified as low self-regulating to examine whether the key features of high and low self-regulating learning environments played a similar role in both groups. Analysis of findings indicates that key features did play a significant role in promoting positive changes in both groups, with high self-regulating students' motivation and self-regulatory strategies generally remaining higher than the low self-regulating students; this was the case in both environments. Findings suggest that classroom learning environments and instruction can be modified using variations of these key features to promote specific or various levels of motivation and self-regulatory skill. In this way, educators may tailor their lessons or design their classrooms to better match and develop students' current level of motivation and self-regulation in order to maximize engagement in an academic task.

Engaging Environments Enhance Motor Skill Learning in a Computer Gaming Task.

PubMed

Lohse, Keith R; Boyd, Lara A; Hodges, Nicola J

2016-01-01

Engagement during practice can motivate a learner to practice more, hence having indirect effects on learning through increased practice. However, it is not known whether engagement can also have a direct effect on learning when the amount of practice is held constant. To address this question, 40 participants played a video game that contained an embedded repeated sequence component, under either highly engaging conditions (the game group) or mechanically identical but less engaging conditions (the sterile group). The game environment facilitated retention over a 1-week interval. Specifically, the game group improved in both speed and accuracy for random and repeated trials, suggesting a general motor-related improvement, rather than a specific influence of engagement on implicit sequence learning. These data provide initial evidence that increased engagement during practice has a direct effect on generalized learning, improving retention and transfer of a complex motor skill.

Workforce, learners, competencies, and the learning environment: Research in Medical Education 2014 and the way forward.

PubMed

West, Daniel C; Robins, Lynne; Gruppen, Larry D

2014-11-01

Medicine in the United States is changing as a result of many factors, including the needs and demands of 21st-century society. In this commentary, the authors review the 2014 Research in Medical Education (RIME) articles in the context of these changes and with an eye toward the future. The authors organized the 12 RIME articles into four broad themes: career development and workforce issues; competency and assessment; admissions, wellness, and the learning environment; and intended and unintended learning. Although the articles represent a broad range of issues, the authors identified three key take-home points from the collection: (1) Schools may be able to address the looming shortage of primary care physicians through admission selection criteria and targeted curricular activities; (2) better understanding of the competencies required to perform complex physician tasks could lead to more effective ways to teach and assess these tasks; and (3) the intended and unintended learning that take place in the medical learning environment require careful attention in order to produce physicians who are both skilled enough and well enough to meet the needs of society.

Examining Motivation in Online Distance Learning Environments: Complex, Multifaceted, and Situation-Dependent

ERIC Educational Resources Information Center

Hartnett, Maggie; St. George, Alison; Dron, John

2011-01-01

Existing research into motivation in online environments has tended to use one of two approaches. The first adopts a trait-like model that views motivation as a relatively stable, personal characteristic of the learner. Research from this perspective has contributed to the notion that online learners are, on the whole, intrinsically motivated. The…

Creating a Learner-Centered Environment in Nursing Education: An Immersion Experience

ERIC Educational Resources Information Center

Steiner, Susan H.; Floyd, Evelyn; Hewett, Beverly J.; Lewis, Nicole C.; Walker, Eldon H.

2010-01-01

A call for change in nursing education has been issued in order to prepare the nurse of the future in a changing health care delivery system with increasing complexity. The learning environment is changing, including the faculty role. Innovative research-based pedagogies are suggested as a way to challenge traditional nursing education. The…

Linguo-Didactic Environment for Teaching Foreign-Speaking Communication in the Process of Studying French

ERIC Educational Resources Information Center

Bourina, Helena V.; Dunaeva, Larisa A.

2017-01-01

In recent years, in Russia and abroad, we may have noticed the following tendency: the complex of education-related sciences become increasingly interested in learning about the environment which surrounds a human, its role, its potential and its possible use in education. The initial message is represented by the notion that the outside…

Spawning Ideas--Moving from Ideas to Action: Quality Tools for Collective Problem-Solving and Continuous Learning.

ERIC Educational Resources Information Center

Flor, Richard F.; Troskey, Matthew D.

This paper explores the dynamics of managing collective problem solving and decision making, and the application of tools and strategies to deal with the emergent complexity of systems in which educators work. Schools and educational programs are complex adaptive systems that respond to changes in internal and external environments. Functioning…

Rules for Adaptive Learning and Assistance on the Shop Floor

ERIC Educational Resources Information Center

Ullrich, Carsten

2016-01-01

Today's shop floor, the area of a factory where operatives assemble products, is a complex and demanding work environment. The employed and produced technology becomes ever more complex, and employees are responsible for an increasing amount of tasks. As a consequence, the employee is under constant pressure to solve problems occurring on the shop…

Making Sense of How Physician Preceptors Interact with Medical Students: Discourses of Dialogue, Good Medical Practice, and Relationship Trajectories

ERIC Educational Resources Information Center

van der Zwet, J.; Dornan, T.; Teunissen, P. W.; de Jonge, L. P. J. W. M.; Scherpbier, A. J. J. A.

2014-01-01

Work based learning and teaching in health care settings are complex and dynamic. Sociocultural theory addresses this complexity by focusing on interaction between learners, teachers, and their environment as learners develop their professional identity. Although social interaction between doctors and students plays a crucial role in this…

Complexity and the Beginning Principal in the United States: Perspectives on Socialization

ERIC Educational Resources Information Center

Crow, Gary M.

2006-01-01

Purpose: This paper aims to contribute to the literature and practice on beginning principal socialization by identifying the features of post-industrial work that create a more complex work environment for the practice and learning of the principalship in the USA. Design/methodology/approach: Based on recent literature on the changing nature of…

Learning under Conditions of Hierarchy and Discipline: The Case of the German Army, 1939-1940

ERIC Educational Resources Information Center

Visser, Max

2008-01-01

To survive in and adapt to dynamic, turbulent, and complex environments, organizations need to engage in learning. This truism is particularly relevant for army organizations in times of war and armed conflict. In this article a case of army operations during World War II is analyzed on the basis of Ortenblad's integrated model of the learning…

Patterns of Control over the Teaching-Studying-Learning Process and Classrooms as Complex Dynamic Environments: A Theoretical Framework

ERIC Educational Resources Information Center

Harjunen, Elina

2012-01-01

In this theoretical paper the role of power in classroom interactions is examined in terms of a dominance continuum to advance a theoretical framework justifying the emergence of three ways of distributing power when it comes to dealing with the control over the teaching-studying-learning (TSL) "pattern of teacher domination," "pattern of…

Theoretically Grounded Guidelines for Assessing Learning Progress: Cognitive Changes in Ill-Structured Complex Problem-Solving Contexts

ERIC Educational Resources Information Center

Kim, Min Kyu

2012-01-01

It is generally accepted that the cognitive development for a wide range of students can be improved through adaptive instruction-learning environments optimized to suit individual needs (e.g., Cronbach, Am Psychol 12:671-684, 1957; Lee and Park, in Handbook of research for educational communications and technology, Taylor & Francis Group,…

NetEnquiry--A Competitive Mobile Learning Approach for the Banking Sector

ERIC Educational Resources Information Center

Beutner, Marc; Teine, Matthias; Gebbe, Marcel; Fortmann, Lara Melissa

2016-01-01

Initial and further education in the banking sector is becoming more and more important due to the fact that the regulations and the complexity in world of work and an international banking scene is increasing. In this article we provide the structures of and information on NetEnquiry, an innovative mobile learning environment in this field,…

Transformative Learning in Human Resource Development: Successes in Scholarly Practitioner Applications--Conflict Management, Discursive Processes in Diversity and Leadership Development

ERIC Educational Resources Information Center

Fisher-Yoshida, Beth; Geller, Kathy D.; Wasserman, Ilene C.

2005-01-01

Today's complex global environment calls for leaders to be agile decision makers, engage in critical self-reflection, integrate reflection with action, and partner with those who are different in significant ways. These capabilities and skills are the core qualities of transformative learning. This paper weaves research findings that explore…

Progress in Application of the Neurosciences to an Understanding of Human Learning: The Challenge of Finding a Middle-Ground Neuroeducational Theory

ERIC Educational Resources Information Center

Anderson, O. Roger

2014-01-01

Modern neuroscientific research has substantially enhanced our understanding of the human brain. However, many challenges remain in developing a strong, brain-based theory of human learning, especially in complex environments such as educational settings. Some of the current issues and challenges in our progress toward developing comprehensive…

Case-Based Learning with Worked Examples in Complex Domains: Two Experimental Studies in Undergraduate Medical Education

ERIC Educational Resources Information Center

Stark, Robin; Kopp, Veronika; Fischer, Martin R.

2011-01-01

To investigate the effects of example format (erroneous examples vs. correct examples) and feedback format (elaborated feedback vs. knowledge of results feedback) on medical students' diagnostic competence in the context of a web-based learning environment containing case-based worked examples, two studies with a 2 x 2 design were conducted in the…

Darwinian demons, evolutionary complexity, and information maximization.

PubMed

Krakauer, David C

2011-09-01

Natural selection is shown to be an extended instance of a Maxwell's demon device. A demonic selection principle is introduced that states that organisms cannot exceed the complexity of their selective environment. Thermodynamic constraints on error repair impose a fundamental limit to the rate that information can be transferred from the environment (via the selective demon) to the genome. Evolved mechanisms of learning and inference can overcome this limitation, but remain subject to the same fundamental constraint, such that plastic behaviors cannot exceed the complexity of reward signals. A natural measure of evolutionary complexity is provided by mutual information, and niche construction activity--the organismal contribution to the construction of selection pressures--might in principle lead to its increase, bounded by thermodynamic free energy required for error correction.

Situated learning theory: adding rate and complexity effects via Kauffman's NK model.

PubMed

Yuan, Yu; McKelvey, Bill

2004-01-01

For many firms, producing information, knowledge, and enhancing learning capability have become the primary basis of competitive advantage. A review of organizational learning theory identifies two approaches: (1) those that treat symbolic information processing as fundamental to learning, and (2) those that view the situated nature of cognition as fundamental. After noting that the former is inadequate because it focuses primarily on behavioral and cognitive aspects of individual learning, this paper argues the importance of studying learning as interactions among people in the context of their environment. It contributes to organizational learning in three ways. First, it argues that situated learning theory is to be preferred over traditional behavioral and cognitive learning theories, because it treats organizations as complex adaptive systems rather than mere information processors. Second, it adds rate and nonlinear learning effects. Third, following model-centered epistemology, it uses an agent-based computational model, in particular a "humanized" version of Kauffman's NK model, to study the situated nature of learning. Using simulation results, we test eight hypotheses extending situated learning theory in new directions. The paper ends with a discussion of possible extensions of the current study to better address key issues in situated learning.

Supervising international students in clinical placements: perceptions of experiences and factors influencing competency development.

PubMed

Attrill, Stacie; Lincoln, Michelle; McAllister, Sue

2016-07-16

Health professional education programs attract students from around the world and clinical supervisors frequently report that international students find learning in clinical placement contexts particularly challenging. In existing literature clinical supervisors, who support international students on placement have identified concerns about their communication and interactions within clinical environments. However, clinical supervisors' perspectives about their experiences with international students on placement and the strategies they utilise to facilitate international student learning have not been described. As a result we have little insight into the nature of these concerns and what clinical supervisors do to support international students' competency development. Five focus group interviews were conducted with twenty Speech-Language Pathology clinical supervisors, recruited from 2 Australian universities. Interview data were analysed thematically. Themes identified were interpreted using cognitive load and sociocultural learning theories to enhance understanding of the findings. Four themes were identified: 'Complex teaching and learning relationships', 'Conceptions of students as learners'; Student communication skills for professional practice', and 'Positive mutual learning relationships'. Findings indicated that clinical supervisors felt positive about supporting international students in clinical placements and experienced mutual learning benefits. However, they also identified factors inherent to international students and the placement environment that added to workload, and made facilitating student learning complex. Clinical supervisors described strategies they used to support international students' cultural adjustment and learning, but communication skills were reported to be difficult to facilitate within the constraints of placements. Future research should address the urgent need to develop and test strategies for improving international students' learning in clinical settings.

Development of a Hospital-based Massage Therapy Course at an Academic Medical Center.

PubMed

Dion, Liza J; Cutshall, Susanne M; Rodgers, Nancy J; Hauschulz, Jennifer L; Dreyer, Nikol E; Thomley, Barbara S; Bauer, Brent

2015-03-01

Massage therapy is offered increasingly in US medical facilities. Although the United States has many massage schools, their education differs, along with licensure and standards. As massage therapy in hospitals expands and proves its value, massage therapists need increased training and skills in working with patients who have various complex medical concerns, to provide safe and effective treatment. These services for hospitalized patients can impact patient experience substantially and provide additional treatment options for pain and anxiety, among other symptoms. The present article summarizes the initial development and description of a hospital-based massage therapy course at a Midwest medical center. A hospital-based massage therapy course was developed on the basis of clinical experience and knowledge from massage therapists working in the complex medical environment. This massage therapy course had three components in its educational experience: online learning, classroom study, and a 25-hr shadowing experience. The in-classroom study portion included an entire day in the simulation center. The hospital-based massage therapy course addressed the educational needs of therapists transitioning to work with interdisciplinary medical teams and with patients who have complicated medical conditions. Feedback from students in the course indicated key learning opportunities and additional content that are needed to address the knowledge and skills necessary when providing massage therapy in a complex medical environment. The complexity of care in medical settings is increasing while the length of hospital stay is decreasing. For this reason, massage provided in the hospital requires more specialized training to work in these environments. This course provides an example initial step in how to address some of the educational needs of therapists who are transitioning to working in the complex medical environment.

Development of a Hospital-based Massage Therapy Course at an Academic Medical Center

PubMed Central

Dion, Liza J.; Cutshall, Susanne M.; Rodgers, Nancy J.; Hauschulz, Jennifer L.; Dreyer, Nikol E.; Thomley, Barbara S.; Bauer, Brent

2015-01-01

Background: Massage therapy is offered increasingly in US medical facilities. Although the United States has many massage schools, their education differs, along with licensure and standards. As massage therapy in hospitals expands and proves its value, massage therapists need increased training and skills in working with patients who have various complex medical concerns, to provide safe and effective treatment. These services for hospitalized patients can impact patient experience substantially and provide additional treatment options for pain and anxiety, among other symptoms. The present article summarizes the initial development and description of a hospital-based massage therapy course at a Midwest medical center. Methods: A hospital-based massage therapy course was developed on the basis of clinical experience and knowledge from massage therapists working in the complex medical environment. This massage therapy course had three components in its educational experience: online learning, classroom study, and a 25-hr shadowing experience. The in-classroom study portion included an entire day in the simulation center. Results: The hospital-based massage therapy course addressed the educational needs of therapists transitioning to work with interdisciplinary medical teams and with patients who have complicated medical conditions. Feedback from students in the course indicated key learning opportunities and additional content that are needed to address the knowledge and skills necessary when providing massage therapy in a complex medical environment. Conclusions: The complexity of care in medical settings is increasing while the length of hospital stay is decreasing. For this reason, massage provided in the hospital requires more specialized training to work in these environments. This course provides an example initial step in how to address some of the educational needs of therapists who are transitioning to working in the complex medical environment. PMID:25780472

Intelligent mobility research for robotic locomotion in complex terrain

NASA Astrophysics Data System (ADS)

Trentini, Michael; Beckman, Blake; Digney, Bruce; Vincent, Isabelle; Ricard, Benoit

2006-05-01

The objective of the Autonomous Intelligent Systems Section of Defence R&D Canada - Suffield is best described by its mission statement, which is "to augment soldiers and combat systems by developing and demonstrating practical, cost effective, autonomous intelligent systems capable of completing military missions in complex operating environments." The mobility requirement for ground-based mobile systems operating in urban settings must increase significantly if robotic technology is to augment human efforts in these roles and environments. The intelligence required for autonomous systems to operate in complex environments demands advances in many fields of robotics. This has resulted in large bodies of research in areas of perception, world representation, and navigation, but the problem of locomotion in complex terrain has largely been ignored. In order to achieve its objective, the Autonomous Intelligent Systems Section is pursuing research that explores the use of intelligent mobility algorithms designed to improve robot mobility. Intelligent mobility uses sensing, control, and learning algorithms to extract measured variables from the world, control vehicle dynamics, and learn by experience. These algorithms seek to exploit available world representations of the environment and the inherent dexterity of the robot to allow the vehicle to interact with its surroundings and produce locomotion in complex terrain. The primary focus of the paper is to present the intelligent mobility research within the framework of the research methodology, plan and direction defined at Defence R&D Canada - Suffield. It discusses the progress and future direction of intelligent mobility research and presents the research tools, topics, and plans to address this critical research gap. This research will create effective intelligence to improve the mobility of ground-based mobile systems operating in urban settings to assist the Canadian Forces in their future urban operations.

Operant conditioning: a minimal components requirement in artificial spiking neurons designed for bio-inspired robot's controller

PubMed Central

Cyr, André; Boukadoum, Mounir; Thériault, Frédéric

2014-01-01

In this paper, we investigate the operant conditioning (OC) learning process within a bio-inspired paradigm, using artificial spiking neural networks (ASNN) to act as robot brain controllers. In biological agents, OC results in behavioral changes learned from the consequences of previous actions, based on progressive prediction adjustment from rewarding or punishing signals. In a neurorobotics context, virtual and physical autonomous robots may benefit from a similar learning skill when facing unknown and unsupervised environments. In this work, we demonstrate that a simple invariant micro-circuit can sustain OC in multiple learning scenarios. The motivation for this new OC implementation model stems from the relatively complex alternatives that have been described in the computational literature and recent advances in neurobiology. Our elementary kernel includes only a few crucial neurons, synaptic links and originally from the integration of habituation and spike-timing dependent plasticity as learning rules. Using several tasks of incremental complexity, our results show that a minimal neural component set is sufficient to realize many OC procedures. Hence, with the proposed OC module, designing learning tasks with an ASNN and a bio-inspired robot context leads to simpler neural architectures for achieving complex behaviors. PMID:25120464

Operant conditioning: a minimal components requirement in artificial spiking neurons designed for bio-inspired robot's controller.

PubMed

Cyr, André; Boukadoum, Mounir; Thériault, Frédéric

2014-01-01

In this paper, we investigate the operant conditioning (OC) learning process within a bio-inspired paradigm, using artificial spiking neural networks (ASNN) to act as robot brain controllers. In biological agents, OC results in behavioral changes learned from the consequences of previous actions, based on progressive prediction adjustment from rewarding or punishing signals. In a neurorobotics context, virtual and physical autonomous robots may benefit from a similar learning skill when facing unknown and unsupervised environments. In this work, we demonstrate that a simple invariant micro-circuit can sustain OC in multiple learning scenarios. The motivation for this new OC implementation model stems from the relatively complex alternatives that have been described in the computational literature and recent advances in neurobiology. Our elementary kernel includes only a few crucial neurons, synaptic links and originally from the integration of habituation and spike-timing dependent plasticity as learning rules. Using several tasks of incremental complexity, our results show that a minimal neural component set is sufficient to realize many OC procedures. Hence, with the proposed OC module, designing learning tasks with an ASNN and a bio-inspired robot context leads to simpler neural architectures for achieving complex behaviors.

Using numeric simulation in an online e-learning environment to teach functional physiological contexts.

PubMed

Christ, Andreas; Thews, Oliver

2016-04-01

Mathematical models are suitable to simulate complex biological processes by a set of non-linear differential equations. These simulation models can be used as an e-learning tool in medical education. However, in many cases these mathematical systems have to be treated numerically which is computationally intensive. The aim of the study was to develop a system for numerical simulation to be used in an online e-learning environment. In the software system the simulation is located on the server as a CGI application. The user (student) selects the boundary conditions for the simulation (e.g., properties of a simulated patient) on the browser. With these parameters the simulation on the server is started and the simulation result is re-transferred to the browser. With this system two examples of e-learning units were realized. The first one uses a multi-compartment model of the glucose-insulin control loop for the simulation of the plasma glucose level after a simulated meal or during diabetes (including treatment by subcutaneous insulin application). The second one simulates the ion transport leading to the resting and action potential in nerves. The student can vary parameters systematically to explore the biological behavior of the system. The described system is able to simulate complex biological processes and offers the possibility to use these models in an online e-learning environment. As far as the underlying principles can be described mathematically, this type of system can be applied to a broad spectrum of biomedical or natural scientific topics. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Multiresolutional schemata for unsupervised learning of autonomous robots for 3D space operation

NASA Technical Reports Server (NTRS)

Lacaze, Alberto; Meystel, Michael; Meystel, Alex

1994-01-01

This paper describes a novel approach to the development of a learning control system for autonomous space robot (ASR) which presents the ASR as a 'baby' -- that is, a system with no a priori knowledge of the world in which it operates, but with behavior acquisition techniques that allows it to build this knowledge from the experiences of actions within a particular environment (we will call it an Astro-baby). The learning techniques are rooted in the recursive algorithm for inductive generation of nested schemata molded from processes of early cognitive development in humans. The algorithm extracts data from the environment and by means of correlation and abduction, it creates schemata that are used for control. This system is robust enough to deal with a constantly changing environment because such changes provoke the creation of new schemata by generalizing from experiences, while still maintaining minimal computational complexity, thanks to the system's multiresolutional nature.

Social learning: medical student perceptions of geriatric house calls.

PubMed

Abbey, Linda; Willett, Rita; Selby-Penczak, Rachel; McKnight, Roberta

2010-01-01

Bandura's social learning theory provides a useful conceptual framework to understand medical students' perceptions of a house calls experience at Virginia Commonwealth University School of Medicine. Social learning and role modeling reflect Liaison Committee on Medical Education guidelines for "Medical schools (to) ensure that the learning environment for medical students promotes the development of explicit and appropriate professional attributes (attitudes, behaviors, and identity) in their medical students." This qualitative study reports findings from open-ended survey questions from 123 medical students who observed a preceptor during house calls to elderly homebound patients. Their comments included reflections on the medical treatment as well as interactions with family and professional care providers. Student insights about the social learning process they experienced during house calls to geriatric patients characterized physician role models as dedicated, compassionate, and communicative. They also described patient care in the home environment as comprehensive, personalized, more relaxed, and comfortable. Student perceptions reflect an appreciation of the richness and complexity of details learned from home visits and social interaction with patients, families, and caregivers.

Heutagogy: An alternative practice based learning approach.

PubMed

Bhoyrub, John; Hurley, John; Neilson, Gavin R; Ramsay, Mike; Smith, Margaret

2010-11-01

Education has explored and utilised multiple approaches in attempts to enhance the learning and teaching opportunities available to adult learners. Traditional pedagogy has been both directly and indirectly affected by andragogy and transformational learning, consequently widening our understandings and approaches toward view teaching and learning. Within the context of nurse education, a major challenge has been to effectively apply these educational approaches to the complex, unpredictable and challenging environment of practice based learning. While not offered as a panacea to such challenges, heutagogy is offered in this discussion paper as an emerging and potentially highly congruent educational framework to place around practice based learning. Being an emergent theory its known conceptual underpinnings and possible applications to nurse education need to be explored and theoretically applied. Through placing the adult learner at the foreground of grasping learning opportunities as they unpredictability emerge from a sometimes chaotic environment, heutagogy can be argued as offering the potential to minimise many of the well published difficulties of coordinating practice with faculty teaching and learning. Copyright © 2010 Elsevier Ltd. All rights reserved.

Set size manipulations reveal the boundary conditions of perceptual ensemble learning.

PubMed

Chetverikov, Andrey; Campana, Gianluca; Kristjánsson, Árni

2017-11-01

Recent evidence suggests that observers can grasp patterns of feature variations in the environment with surprising efficiency. During visual search tasks where all distractors are randomly drawn from a certain distribution rather than all being homogeneous, observers are capable of learning highly complex statistical properties of distractor sets. After only a few trials (learning phase), the statistical properties of distributions - mean, variance and crucially, shape - can be learned, and these representations affect search during a subsequent test phase (Chetverikov, Campana, & Kristjánsson, 2016). To assess the limits of such distribution learning, we varied the information available to observers about the underlying distractor distributions by manipulating set size during the learning phase in two experiments. We found that robust distribution learning only occurred for large set sizes. We also used set size to assess whether the learning of distribution properties makes search more efficient. The results reveal how a certain minimum of information is required for learning to occur, thereby delineating the boundary conditions of learning of statistical variation in the environment. However, the benefits of distribution learning for search efficiency remain unclear. Copyright © 2017 Elsevier Ltd. All rights reserved.

An interactive learning environment for health care professionals.

PubMed Central

Cobbs, E.; Pincetl, P.; Silverman, B.; Liao, R. L.; Motta, C.

1994-01-01

This article summarizes experiences to date with building and deploying a clinical simulator that medical students use as part of a 3rd year primary care rotation. The simulated microworld helps students and health care professionals gain experience with and learn meta-cognitive skills for the care of complex patient populations that require treatment in the biopsychosocial-value dimensions. We explain lessons learned and next steps resulting from use of the program by over 300 users to date. PMID:7949975

Video Feedback in the Classroom: Development of an Easy-to-Use Learning Environment

ERIC Educational Resources Information Center

De Poorter, John; De Jaegher, Lut; De Cock, Mieke; Neuttiens, Tom

2007-01-01

Video feedback offers great potential for use in teaching but the relative complexity of the normal set-up of a video camera, a special tripod and a monitor has limited its use in teaching. The authors have developed a computer-webcam set-up which simplifies this. Anyone with an ordinary computer and webcam can learn to control the video feedback…

Storytelling with Chemistry and Related Hands-on Activities: Informal Learning Experiences to Prevent "Chemophobia" and Promote Young Children's Scientific Literacy

ERIC Educational Resources Information Center

Morais, Carla

2015-01-01

The dissemination of chemistry has been experienced as a difficult task, largely because of the negative image that the public has of this science, but also because of its inherent complexity and its own semantics and symbolism. Science centers, as informal learning environments, can contribute to a more effective dissemination of chemistry to an…

Methods of Psychological and Pedagogical Accompaniment of First-Year Students in Process of Adapting to Learning at University

ERIC Educational Resources Information Center

Maralova, Tatyana P.; Filipenkova, Olesya G.; Galitskikh, Elena O.; Shulga, Tatiana I.; Sidyacheva, Natalya V.; Ovsyanik, Olga A.

2016-01-01

The relevance of the study is conditioned by the complexity of students' adaptation to learning at University due to the change of social environment, an alarming feelings about the precise self-determination, lack of knowledge in opportunities for self-expression in art, science, sport and public life. The purpose of the paper is to identify…

A Complexity Theory Approach to Sustainability: A Longitudinal Study in Two London NHS Hospitals

ERIC Educational Resources Information Center

Mitleton-Kelly, Eve

2011-01-01

Purpose: The purpose of this paper is to demonstrate that organisational sustainability is not a continuation of the status quo but, seen from a complexity theory perspective, is a continuous dynamic process of co-evolution with a changing environment. It is underpinned by learning, and it creates new structures and ways of working to adjust and…

A New Mechanism for a Brain

ERIC Educational Resources Information Center

Andreae, John H.; Cleary, John G.

1976-01-01

The new mechanism, PUSS, enables experience of any complex environment to be accumulated in a predictive model. PURR-PUSS is a teachable robot system based on the new mechanism. Cumulative learning is demonstrated by a detailed example. (Author)

Tracked robot controllers for climbing obstacles autonomously

NASA Astrophysics Data System (ADS)

Vincent, Isabelle

2009-05-01

Research in mobile robot navigation has demonstrated some success in navigating flat indoor environments while avoiding obstacles. However, the challenge of analyzing complex environments to climb obstacles autonomously has had very little success due to the complexity of the task. Unmanned ground vehicles currently exhibit simple autonomous behaviours compared to the human ability to move in the world. This paper presents the control algorithms designed for a tracked mobile robot to autonomously climb obstacles by varying its tracks configuration. Two control algorithms are proposed to solve the autonomous locomotion problem for climbing obstacles. First, a reactive controller evaluates the appropriate geometric configuration based on terrain and vehicle geometric considerations. Then, a reinforcement learning algorithm finds alternative solutions when the reactive controller gets stuck while climbing an obstacle. The methodology combines reactivity to learning. The controllers have been demonstrated in box and stair climbing simulations. The experiments illustrate the effectiveness of the proposed approach for crossing obstacles.

The evolution of social learning rules: payoff-biased and frequency-dependent biased transmission.

PubMed

Kendal, Jeremy; Giraldeau, Luc-Alain; Laland, Kevin

2009-09-21

Humans and other animals do not use social learning indiscriminately, rather, natural selection has favoured the evolution of social learning rules that make selective use of social learning to acquire relevant information in a changing environment. We present a gene-culture coevolutionary analysis of a small selection of such rules (unbiased social learning, payoff-biased social learning and frequency-dependent biased social learning, including conformism and anti-conformism) in a population of asocial learners where the environment is subject to a constant probability of change to a novel state. We define conditions under which each rule evolves to a genetically polymorphic equilibrium. We find that payoff-biased social learning may evolve under high levels of environmental variation if the fitness benefit associated with the acquired behaviour is either high or low but not of intermediate value. In contrast, both conformist and anti-conformist biases can become fixed when environment variation is low, whereupon the mean fitness in the population is higher than for a population of asocial learners. Our examination of the population dynamics reveals stable limit cycles under conformist and anti-conformist biases and some highly complex dynamics including chaos. Anti-conformists can out-compete conformists when conditions favour a low equilibrium frequency of the learned behaviour. We conclude that evolution, punctuated by the repeated successful invasion of different social learning rules, should continuously favour a reduction in the equilibrium frequency of asocial learning, and propose that, among competing social learning rules, the dominant rule will be the one that can persist with the lowest frequency of asocial learning.

Genetic Dissection of Learning and Memory in Mice

PubMed Central

Mineur, Yann S.; Crusio, Wim E.; Sluyter, Frans

2004-01-01

In this minireview, we discuss different strategies to dissect genetically the keystones of learning and memory. First, we broadly sketch the neurogenetic analysis of complex traits in mice. We then discuss two general strategies to find genes affecting learning and memory: candidate gene studies and whole genome searches. Next, we briefly review more recently developed techniques, such as microarrays and RNA interference. In addition, we focus on gene-environment interactions and endophenotypes. All sections are illustrated with examples from the learning and memory field, including a table summarizing the latest information about genes that have been shown to have effects on learning and memory. PMID:15656270

A model of influences on the clinical learning environment: the case for change at one U.S. medical school.

PubMed

Fleit, Howard B; Iuli, Richard J; Fischel, Janet E; Lu, Wei-Hsin; Chandran, Latha

2017-03-23

The learning environment within a school of medicine influences medical students' values and their professional development. Despite national requirements to monitor the learning environment, mistreatment of medical students persists. We designed a program called WE SMILE: We can Eradicate Student Mistreatment In the Learning Environment with a vision to enhance trainee and faculty awareness and ultimately eliminate medical student mistreatment. We provide a description of our program and early outcomes. The program has enhanced student awareness of what constitutes mistreatment and how to report it. Faculty members are also aware of the formal processes and procedures for review of such incidents. Our proposed model of influences on the learning environment and the clinical workforce informs the quality of trainee education and safety of patient care. Institutional leadership and culture play a prominent role in this model. Our integrated institutional response to learning environment concerns is offered as a strategy to improve policy awareness, reporting and management of student mistreatment concerns. Our WE SMILE program was developed to enhance education and awareness of what constitutes mistreatment and to provide multiple pathways for student reporting, with clear responsibilities for review, adjudication and enforcement. The program is demonstrating several signs of early success and is offered as a strategy for other schools to adopt or adapt. We have recognized a delicate balance between preserving student anonymity and informing them of specific actions taken. Providing students and other stakeholders with clear evidence of institutional response and accountability remains a key challenge. Multiple methods of reporting have been advantageous in eliciting information on learning environment infringements. These routes and types of reporting have enhanced our understanding of student perceptions and the specific contexts in which mistreatment occurs, allowing for targeted interventions. A common platform across the healthcare professions to report and review concerns has afforded us opportunities to deal with interprofessional issues in a respectful and trustworthy manner. We offer a model of learning environment influences with leadership and institutional culture at the helm, as a way to frame a comprehensive perspective on this challenging and complex concern.

Cosmic Concepts: A Video Series for Scaffolded Learning

NASA Astrophysics Data System (ADS)

Eisenhamer, Bonnie; Summers, Frank; Maple, John

2016-01-01

Scaffolding is widely considered to be an essential element of effective teaching and is used to help bridge knowledge gaps for learners. Scaffolding is especially important for distance-learning programs and computer-based learning environments. Preliminary studies are showing that when students learn about complex topics within computer-based learning environments without scaffolding, they fail to gain a conceptual understanding of the topic. As a result, researchers have begun to emphasize the importance of scaffolding for web-based as well as in-person instruction.To support scaffolded teaching practices and techniques, while addressing the needs of life-long learners, we have created the Cosmic Concepts video series. The series consists of short, one-topic videos that address scientific concepts with a special emphasis on those that traditionally cause confusion or are layered with misconceptions. Each video focuses on one idea at a time and provides a clear explanation of phenomena that is succinct enough for on-demand reference usage by all types of learners. Likewise, the videos can be used by educators to scaffold the scientific concepts behind astronomical images, or can be sequenced together to create well-structured pathways for presenting deeper and more layered ideas. This approach is critical for communicating information about astronomical discoveries that are often dense with unfamiliar concepts, complex ideas, and highly technical details. Additionally, learning tools in video formats support multi-sensory presentation approaches that can make astronomy more accessible to a variety of learners.

Serious games and blended learning; effects on performance and motivation in medical education.

PubMed

Dankbaar, Mary

2017-02-01

More efficient, flexible training models are needed in medical education. Information technology offers the tools to design and develop effective and more efficient training. The aims of this thesis were: 1) Compare the effectiveness of blended versus classroom training for the acquisition of knowledge; 2) Investigate the effectiveness and critical design features of serious games for performance improvement and motivation. Five empirical studies were conducted to answer the research questions and a descriptive study on an evaluation framework to assess serious games was performed. The results of the research studies indicated that: 1) For knowledge acquisition, blended learning is equally effective and attractive for learners as classroom learning; 2) A serious game with realistic, interactive cases improved complex cognitive skills for residents, with limited self-study time. Although the same game was motivating for inexperienced medical students and stimulated them to study longer, it did not improve their cognitive skills, compared with what they learned from an instructional e‑module. This indicates an 'expertise reversal effect', where a rich learning environment is effective for experts, but may be contra-productive for novices (interaction of prior knowledge and complexity of format). A blended design is equally effective and attractive as classroom training. Blended learning facilitates adaptation to the learners' knowledge level, flexibility in time and scalability of learning. Games may support skills learning, provided task complexity matches the learner's competency level. More design-based research is needed on the effects of task complexity and other design features on performance improvement, for both novices and experts.

A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning.

PubMed

Arena, Paolo; Calí, Marco; Patané, Luca; Portera, Agnese; Strauss, Roland

2016-09-01

Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies neuropile. The network devoted to context formation is able to reconstruct the learned sequence and also to trace the subsequences present in the provided input. A sensitivity analysis to parameter variation and noise is reported. Experiments on a roving robot are reported to show the capabilities of the architecture used as a neural controller.

Evaluating the efficacy of a chemistry video game

NASA Astrophysics Data System (ADS)

Shapiro, Marina

A quasi-experimental design pre-test/post-test intervention study utilizing a within group analysis was conducted with 45 undergraduate college chemistry students that investigated the effect of implementing a game-based learning environment into an undergraduate college chemistry course in order to learn if serious educational games (SEGs) can be used to achieve knowledge gains of complex chemistry concepts and to achieve increase in students' positive attitude toward chemistry. To evaluate if students learn chemistry concepts by participating in a chemistry game-based learning environment, a one-way repeated measures analysis of variance (ANOVA) was conducted across three time points (pre-test, post-test, delayed post-test which were chemistry content exams). Results showed that there was an increase in exam scores over time. The results of the ANOVA indicated a statistically significant time effect. To evaluate if students' attitude towards chemistry increased as a result of participating in a chemistry game-based learning environment a paired samples t-test was conducted using a chemistry attitudinal survey by Mahdi (2014) as the pre- and post-test. Results of the paired-samples t-test indicated that there was no significant difference in pre-attitudinal scores and post-attitudinal scores.

Evaluation of the cognitive effects of travel technique in complex real and virtual environments.

PubMed

Suma, Evan A; Finkelstein, Samantha L; Reid, Myra; V Babu, Sabarish; Ulinski, Amy C; Hodges, Larry F

2010-01-01

We report a series of experiments conducted to investigate the effects of travel technique on information gathering and cognition in complex virtual environments. In the first experiment, participants completed a non-branching multilevel 3D maze at their own pace using either real walking or one of two virtual travel techniques. In the second experiment, we constructed a real-world maze with branching pathways and modeled an identical virtual environment. Participants explored either the real or virtual maze for a predetermined amount of time using real walking or a virtual travel technique. Our results across experiments suggest that for complex environments requiring a large number of turns, virtual travel is an acceptable substitute for real walking if the goal of the application involves learning or reasoning based on information presented in the virtual world. However, for applications that require fast, efficient navigation or travel that closely resembles real-world behavior, real walking has advantages over common joystick-based virtual travel techniques.

Intelligent path loss prediction engine design using machine learning in the urban outdoor environment

NASA Astrophysics Data System (ADS)

Wang, Ruichen; Lu, Jingyang; Xu, Yiran; Shen, Dan; Chen, Genshe; Pham, Khanh; Blasch, Erik

2018-05-01

Due to the progressive expansion of public mobile networks and the dramatic growth of the number of wireless users in recent years, researchers are motivated to study the radio propagation in urban environments and develop reliable and fast path loss prediction models. During last decades, different types of propagation models are developed for urban scenario path loss predictions such as the Hata model and the COST 231 model. In this paper, the path loss prediction model is thoroughly investigated using machine learning approaches. Different non-linear feature selection methods are deployed and investigated to reduce the computational complexity. The simulation results are provided to demonstratethe validity of the machine learning based path loss prediction engine, which can correctly determine the signal propagation in a wireless urban setting.

The Importance of Teacher Role in Cooperative Learning: The Effects of High-Stakes Testing on Pedagogical Approaches of Early Career Teachers in Primary Schools

ERIC Educational Resources Information Center

Ferguson-Patrick, Kate

2018-01-01

Cooperative learning (CL) has a strong research base, but it is underutilised. This can be explained by teachers' reluctance to experiment with pedagogies in an environment increasingly focused on high-stakes testing. Early career teachers (ECTs) need support to be innovative practitioners, particularly with such a complex one as CL. The teacher's…

Delivering Training Assessments in a Soldier Centered Learning Environment: Year One

DTIC Science & Technology

2014-09-01

virtual classroom in comparison to the mobile training. Social cognitive theory (see Bandura , 1986) would support the idea that creating a social ...R. (1996). ACT: A simple theory of complex cognition. American Psychologist, 51(4), 355-365. Bandura , A. (1986). Social foundations of thought...architecture that would allow timely feedback with customizable levels of specificity necessitates a time investment and requires expertise in learning theory

On learning navigation behaviors for small mobile robots with reservoir computing architectures.

PubMed

Antonelo, Eric Aislan; Schrauwen, Benjamin

2015-04-01

This paper proposes a general reservoir computing (RC) learning framework that can be used to learn navigation behaviors for mobile robots in simple and complex unknown partially observable environments. RC provides an efficient way to train recurrent neural networks by letting the recurrent part of the network (called reservoir) be fixed while only a linear readout output layer is trained. The proposed RC framework builds upon the notion of navigation attractor or behavior that can be embedded in the high-dimensional space of the reservoir after learning. The learning of multiple behaviors is possible because the dynamic robot behavior, consisting of a sensory-motor sequence, can be linearly discriminated in the high-dimensional nonlinear space of the dynamic reservoir. Three learning approaches for navigation behaviors are shown in this paper. The first approach learns multiple behaviors based on the examples of navigation behaviors generated by a supervisor, while the second approach learns goal-directed navigation behaviors based only on rewards. The third approach learns complex goal-directed behaviors, in a supervised way, using a hierarchical architecture whose internal predictions of contextual switches guide the sequence of basic navigation behaviors toward the goal.

Managing clinical failure: a complex adaptive system perspective.

PubMed

Matthews, Jean I; Thomas, Paul T

2007-01-01

The purpose of this article is to explore the knowledge capture process at the clinical level. It aims to identify factors that enable or constrain learning. The study applies complex adaptive system thinking principles to reconcile learning within the NHS. The paper uses a qualitative exploratory study with an interpretative methodological stance set in a secondary care NHS Trust. Semi-structured interviews were conducted with healthcare practitioners and managers involved at both strategic and operational risk management processes. A network structure is revealed that exhibits the communication and interdependent working practices to support knowledge capture and adaptive learning. Collaborative multidisciplinary communities, whose values reflect local priorities and promote open dialogue and reflection, are featured. The main concern is that the characteristics of bureaucracy; rational-legal authority, a rule-based culture, hierarchical lines of communication and a centralised governance focus, are hindering clinical learning by generating barriers. Locally emergent collaborative processes are a key strategic resource to capture knowledge, potentially fostering an environment that could learn from failure and translate lessons between contexts. What must be addressed is that reporting mechanisms serve not only the governance objectives, but also supplement learning by highlighting the potential lessons in context. Managers must nurture a collaborative infrastructure using networks in a co-evolutionary manner. Their role is not to direct and design processes but to influence, support and create effective knowledge capture. Although the study only investigated one site the findings and conclusions may well translate to other trusts--such as the risk of not enabling a learning environment at clinical levels.

Competencies to enable learning-focused clinical supervision: a thematic analysis of the literature.

PubMed

Pront, Leeanne; Gillham, David; Schuwirth, Lambert W T

2016-04-01

Clinical supervision is essential for development of health professional students and widely recognised as a significant factor influencing student learning. Although considered important, delivery is often founded on personal experience or a series of predetermined steps that offer standardised behavioural approaches. Such a view may limit the capacity to promote individualised student learning in complex clinical environments. The objective of this review was to develop a comprehensive understanding of what is considered 'good' clinical supervision, within health student education. The literature provides many perspectives, so collation and interpretation were needed to aid development and understanding for all clinicians required to perform clinical supervision within their daily practice. A comprehensive thematic literature review was carried out, which included a variety of health disciplines and geographical environments. Literature addressing 'good' clinical supervision consists primarily of descriptive qualitative research comprising mostly small studies that repeated descriptions of student and supervisor opinions of 'good' supervision. Synthesis and thematic analysis of the literature resulted in four 'competency' domains perceived to inform delivery of learning-focused or 'good' clinical supervision. Domains understood to promote student learning are co-dependent and include 'to partner', 'to nurture', 'to engage' and 'to facilitate meaning'. Clinical supervision is a complex phenomenon and establishing a comprehensive understanding across health disciplines can influence the future health workforce. The learning-focused clinical supervision domains presented here provide an alternative perspective of clinical supervision of health students. This paper is the first step in establishing a more comprehensive understanding of learning-focused clinical supervision, which may lead to development of competencies for clinical supervision. © 2016 John Wiley & Sons Ltd.

How does horizontal and vertical navigation influence spatial memory of multifloored environments?

PubMed

Thibault, Guillaume; Pasqualotto, Achille; Vidal, Manuel; Droulez, Jacques; Berthoz, Alain

2013-01-01

Although a number of studies have been devoted to 2-D navigation, relatively little is known about how the brain encodes and recalls navigation in complex multifloored environments. Previous studies have proposed that humans preferentially memorize buildings by a set of horizontal 2-D representations. Yet this might stem from the fact that environments were also explored by floors. Here, we have investigated the effect of spatial learning on memory of a virtual multifloored building. Two groups of 28 participants watched a computer movie that showed either a route along floors one at a time or travel between floors by simulated lifts, consisting in both cases of a 2-D trajectory in the vertical plane. To test recognition, the participants viewed a camera movement that either replicated a segment of the learning route (familiar segment) or did not (novel segment-i.e., shortcuts). Overall, floor recognition was not reliably superior to column recognition, but learning along a floor route produced a better spatial memory performance than did learning along a column route. Moreover, the participants processed familiar segments more accurately than novel ones, not only after floor learning, but crucially, also after column learning, suggesting a key role of the observation mode on the exploitation of spatial memory.

Structured Kernel Subspace Learning for Autonomous Robot Navigation.

PubMed

Kim, Eunwoo; Choi, Sungjoon; Oh, Songhwai

2018-02-14

This paper considers two important problems for autonomous robot navigation in a dynamic environment, where the goal is to predict pedestrian motion and control a robot with the prediction for safe navigation. While there are several methods for predicting the motion of a pedestrian and controlling a robot to avoid incoming pedestrians, it is still difficult to safely navigate in a dynamic environment due to challenges, such as the varying quality and complexity of training data with unwanted noises. This paper addresses these challenges simultaneously by proposing a robust kernel subspace learning algorithm based on the recent advances in nuclear-norm and l 1 -norm minimization. We model the motion of a pedestrian and the robot controller using Gaussian processes. The proposed method efficiently approximates a kernel matrix used in Gaussian process regression by learning low-rank structured matrix (with symmetric positive semi-definiteness) to find an orthogonal basis, which eliminates the effects of erroneous and inconsistent data. Based on structured kernel subspace learning, we propose a robust motion model and motion controller for safe navigation in dynamic environments. We evaluate the proposed robust kernel learning in various tasks, including regression, motion prediction, and motion control problems, and demonstrate that the proposed learning-based systems are robust against outliers and outperform existing regression and navigation methods.

Developing critical care skills for nurses in the ward environment: a work-based learning approach.

PubMed

Thorne, Linda; Hackwood, Helen

2002-01-01

An account of collaborative working between an NHS trust and university in responding to the critical care agenda. An 'Introduction to Critical Care Skills' course initiative, which addresses the needs of nurses caring for level 1 and 2 patients in ward areas, is discussed. Work-based learning forms the focus of skills development using core competencies related to a holistic approach to caring for patients with complex needs. A dynamic evolving process of course development is promoting quality care for patients and closely reflects the needs of those caring for acutely ill patients outside the designated critical care environment.

Utilizing media arts principles for developing effective interactive neurorehabilitation systems.

PubMed

Rikakis, Thanassis

2011-01-01

This paper discusses how interactive neurorehabilitation systems can increase their effectiveness through systematic integration of media arts principles and practice. Media arts expertise can foster the development of complex yet intuitive extrinsic feedback displays that match the inherent complexity and intuitive nature of motor learning. Abstract, arts-based feedback displays can be powerful metaphors that provide re-contextualization, engagement and appropriate reward mechanisms for mature adults. Such virtual feedback displays must be seamlessly integrated with physical components to produce mixed reality training environments that promote active, generalizable learning. The proposed approaches are illustrated through examples from mixed reality rehabilitation systems developed by our team.

Harlequin-Inspired Story-Based Learning: An Educational Innovation for Pediatric Nursing Communication.

PubMed

Shaw, Alison; Lind, Candace; Ewashen, Carol

2017-05-01

Effective communication with patients and families is essential for quality care in the pediatric environment. Despite this, the current structure and content of undergraduate nursing education often contributes to novice RNs feeling unprepared to manage complex pediatric communication situations. By merging the characteristics of the Harlequin persona with the structure of story-based learning, undergraduate students can be introduced to increasingly advanced pediatric communication scenarios in the classroom. Although story-based learning encourages students to identify and address the contextual and emotional elements of a story, the Harlequin encourages educators to challenge assumptions and upset the status quo. Nursing students can develop advanced communication abilities and learn to identify and cope with the emotions and complexities inherent in pediatric practice and communication. Harlequin-inspired story-based learning can enable nurse educators to create interesting, realistic, and challenging pediatric nursing stories designed to push students outside their comfort zones and enhance their advanced pediatric communication abilities. [J Nurs Educ. 2017;56(5):300-303.]. Copyright 2017, SLACK Incorporated.

Virtual Learning Environment in Continuing Education for Nursing in Oncology: an Experimental Study.

PubMed

das Graças Silva Matsubara, Maria; De Domenico, Edvane Birelo Lopes

2016-12-01

Nurses working in oncology require continuing education and nowadays distance education is a possibility. To compare learning outcomes of the professionals participating in classroom learning versus distance learning; describing the sociodemographic characteristics and digital fluency of participants; comparing learning outcomes with independent variables; assessing the adequacy of educational practices in Virtual Environment Moodle Learning through the constructivist online learning environment survey. An experimental, randomized controlled study; conducted at the A C Camargo Cancer Center, located in São Paulo, SP, Brazil. The study included 97 nurses, with average training of 1 to 2 years. A control group (n = 44) had face to face training and the experiment group (n = 53) had training by distance learning, both with identical program content. The dependent variable was the result of learning, measured by applying a pre-assessment questionnaire and post-intervention for both groups. The sociodemographic and digital fluency data were uniform among the groups. The performance of both groups was statistically significant (p 0.005), and the control group had a greater advantage (40.4 %). Distance education has proven to be an effective alternative for training nurses, especially when they have more complex knowledge, more experience in the area and institutional time. Distance Education may be a possibility for the training of nurses for work in oncology. The association of age, training time and the institution, and the experience in Oncology interfered in the performance of both groups.

Designing Communication and Learning Environments.

ERIC Educational Resources Information Center

Gayeski, Diane M., Ed.

Designing and remodeling educational facilities are becoming more complex with options that include computer-based collaboration, classrooms with multimedia podiums, conference centers, and workplaces with desktop communication systems. This book provides a collection of articles that address educational facility design categorized in the…

Ecologically relevant neurobehavioral assessment of the development of threat learning

PubMed Central

Mouly, Anne-Marie

2016-01-01

As altricial infants gradually transition to adults, their proximate environment changes. In three short weeks, pups transition from a small world with the caregiver and siblings to a complex milieu rich in dangers as their environment expands. Such contrasting environments require different learning abilities and lead to distinct responses throughout development. Here, we will review some of the learned fear conditioned responses to threats in rats during their ontogeny, including behavioral and physiological measures that permit the assessment of learning and its supporting neurobiology from infancy through adulthood. In adulthood, odor–shock conditioning produces robust fear learning to the odor that depends upon the amygdala and related circuitry. Paradoxically, this conditioning in young pups fails to support fear learning and supports approach learning to the odor previously paired with shock. This approach learning is mediated by the infant attachment network that does not include the amygdala. During the age range when pups transition from the infant to the adult circuit (10–15 d old), pups have access to both networks: odor–shock conditioning in maternal presence uses the attachment circuit but the adult amygdala-dependent circuit when alone. However, throughout development (as young as 5 d old) the attachment associated learning can be overridden and amygdala-dependent fear learning supported, if the mother expresses fear in the presence of the pup. This social modulation of the fear permits the expression of defense reactions in life threatening situations informed by the caregiver but prevents the learning of the caregiver itself as a threat. PMID:27634146

Ecologically relevant neurobehavioral assessment of the development of threat learning.

PubMed

Boulanger Bertolus, Julie; Mouly, Anne-Marie; Sullivan, Regina M

2016-10-01

As altricial infants gradually transition to adults, their proximate environment changes. In three short weeks, pups transition from a small world with the caregiver and siblings to a complex milieu rich in dangers as their environment expands. Such contrasting environments require different learning abilities and lead to distinct responses throughout development. Here, we will review some of the learned fear conditioned responses to threats in rats during their ontogeny, including behavioral and physiological measures that permit the assessment of learning and its supporting neurobiology from infancy through adulthood. In adulthood, odor-shock conditioning produces robust fear learning to the odor that depends upon the amygdala and related circuitry. Paradoxically, this conditioning in young pups fails to support fear learning and supports approach learning to the odor previously paired with shock. This approach learning is mediated by the infant attachment network that does not include the amygdala. During the age range when pups transition from the infant to the adult circuit (10-15 d old), pups have access to both networks: odor-shock conditioning in maternal presence uses the attachment circuit but the adult amygdala-dependent circuit when alone. However, throughout development (as young as 5 d old) the attachment associated learning can be overridden and amygdala-dependent fear learning supported, if the mother expresses fear in the presence of the pup. This social modulation of the fear permits the expression of defense reactions in life threatening situations informed by the caregiver but prevents the learning of the caregiver itself as a threat. © 2016 Boulanger Bertolus et al.; Published by Cold Spring Harbor Laboratory Press.

[Learning how to learn for specialist further education].

PubMed

Breuer, G; Lütcke, B; St Pierre, M; Hüttl, S

2017-02-01

The world of medicine is becoming from year to year more complex. This necessitates efficient learning processes, which incorporate the principles of adult education but with unchanged periods of further education. The subject matter must be processed, organized, visualized, networked and comprehended. The learning process should be voluntary and self-driven with the aim of learning the profession and becoming an expert in a specialist field. Learning is an individual process. Despite this, the constantly cited learning styles are nowadays more controversial. An important factor is a healthy mixture of blended learning methods, which also use new technical possibilities. These include a multitude of e‑learning options and simulations, which partly enable situative learning in a "shielded" environment. An exemplary role model of the teacher and feedback for the person in training also remain core and sustainable aspects in medical further education.

The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems.

PubMed

Baars, Martine; Wijnia, Lisette; Paas, Fred

2017-01-01

Self-regulated learning (SRL) skills are essential for learning during school years, particularly in complex problem-solving domains, such as biology and math. Although a lot of studies have focused on the cognitive resources that are needed for learning to solve problems in a self-regulated way, affective and motivational resources have received much less research attention. The current study investigated the relation between affect (i.e., Positive Affect and Negative Affect Scale), motivation (i.e., autonomous and controlled motivation), mental effort, SRL skills, and problem-solving performance when learning to solve biology problems in a self-regulated online learning environment. In the learning phase, secondary education students studied video-modeling examples of how to solve hereditary problems, solved hereditary problems which they chose themselves from a set of problems with different complexity levels (i.e., five levels). In the posttest, students solved hereditary problems, self-assessed their performance, and chose a next problem from the set of problems but did not solve these problems. The results from this study showed that negative affect, inaccurate self-assessments during the posttest, and higher perceptions of mental effort during the posttest were negatively associated with problem-solving performance after learning in a self-regulated way.

Evaluating the aquatic toxicity of complex organic chemical mixtures: lessons learned from polycyclic aromatic hydrocarbon and petroleum hydrocarbon case studies.

PubMed

Landrum, Peter F; Chapman, Peter M; Neff, Jerry; Page, David S

2012-04-01

Experimental designs for evaluating complex mixture toxicity in aquatic environments can be highly variable and, if not appropriate, can produce and have produced data that are difficult or impossible to interpret accurately. We build on and synthesize recent critical reviews of mixture toxicity using lessons learned from 4 case studies, ranging from binary to more complex mixtures of primarily polycyclic aromatic hydrocarbons and petroleum hydrocarbons, to provide guidance for evaluating the aquatic toxicity of complex mixtures of organic chemicals. Two fundamental requirements include establishing a dose-response relationship and determining the causative agent (or agents) of any observed toxicity. Meeting these 2 requirements involves ensuring appropriate exposure conditions and measurement endpoints, considering modifying factors (e.g., test conditions, test organism life stages and feeding behavior, chemical transformations, mixture dilutions, sorbing phases), and correctly interpreting dose-response relationships. Specific recommendations are provided. Copyright © 2011 SETAC.

Place versus response learning in fish: a comparison between species.

PubMed

McAroe, Claire L; Craig, Cathy M; Holland, Richard A

2016-01-01

Place learning is thought to be an adaptive and flexible facet of navigation. Due to the flexibility of this learning, it is thought to be more complex than the simpler strategies such as learning a particular route or navigating through the use of cues. Place learning is crucial in a familiar environment as it allows an individual to successfully navigate to the same endpoint, regardless of where in the environment the journey begins. Much of the research to date focusing on different strategies employed for navigation has used human subjects or other mammals such as rodents. In this series of experiments, the spatial memory of four different species of fish (goldfish, killifish, zebrafish and Siamese fighting fish) was analysed using a plus maze set-up. Results suggest that three of the species showed a significant preference for the adoption of a place strategy during this task, whereas zebrafish showed no significant preference. Furthermore, zebrafish took significantly longer to learn the task than the other species. Finally, results suggest that zebrafish took the least amount of time (seconds) to complete trials both during training and probe.

Honeybees Learn Odour Mixtures via a Selection of Key Odorants

PubMed Central

Reinhard, Judith; Sinclair, Michael; Srinivasan, Mandyam V.; Claudianos, Charles

2010-01-01

Background The honeybee has to detect, process and learn numerous complex odours from her natural environment on a daily basis. Most of these odours are floral scents, which are mixtures of dozens of different odorants. To date, it is still unclear how the bee brain unravels the complex information contained in scent mixtures. Methodology/Principal Findings This study investigates learning of complex odour mixtures in honeybees using a simple olfactory conditioning procedure, the Proboscis-Extension-Reflex (PER) paradigm. Restrained honeybees were trained to three scent mixtures composed of 14 floral odorants each, and then tested with the individual odorants of each mixture. Bees did not respond to all odorants of a mixture equally: They responded well to a selection of key odorants, which were unique for each of the three scent mixtures. Bees showed less or very little response to the other odorants of the mixtures. The bees' response to mixtures composed of only the key odorants was as good as to the original mixtures of 14 odorants. A mixture composed of the other, non-key-odorants elicited a significantly lower response. Neither an odorant's volatility or molecular structure, nor learning efficiencies for individual odorants affected whether an odorant became a key odorant for a particular mixture. Odorant concentration had a positive effect, with odorants at high concentration likely to become key odorants. Conclusions/Significance Our study suggests that the brain processes complex scent mixtures by predominantly learning information from selected key odorants. Our observations on key odorant learning lend significant support to previous work on olfactory learning and mixture processing in honeybees. PMID:20161714

Recovery of components of memory in post-traumatic amnesia.

PubMed

Leach, Kathleen; Kinsella, Glynda; Jackson, Martin; Matyas, Tom

2006-11-01

Post-traumatic amnesia by definition indicates significant impairment of new learning ability, however very few studies have, examined the natural history and resolution of memory and new learning during PTA. Those studies which have, tended to examine orientation separately from the memory processes required to achieve orientation. Analysis of the order of recovery of the items of the Westmead PTA scale was used to examine recovery of memory and new learning capacity. The results of daily assessment of 34 patients with traumatic brain injury (TBI) on the Westmead PTA scale were analysed for order of recovery. The pattern of rank order of item recovery indicated that Date of Birth recovered consistently first. There was variability in the remaining items, however items reflecting long-term memory tended to recover second and items reflecting simple new learning followed. Recall of all three pictures reflecting complex new learning recovered last. The pattern of recovery of memory and new learning during PTA reflects a number of complex, inter-related variables including; the familiarity with the information, amount of rehearsal both before and since the accident and the number of cues available in the environment.

Heat Map Visualization of Complex Environmental and Biomarker Measurements

EPA Science Inventory

Over the past decade, the assessment of human systems interactions with the environment has permeated all phases of environmental and public health research. We are invoking lessons learned from the broad discipline of Systems Biology research that focuses primarily on molecular ...

The Challenges of Digital Leadership

ERIC Educational Resources Information Center

McLeod, Scott

2015-01-01

Because digital devices and online environments can simultaneously be transformatively empowering and maddeningly disruptive, the work of integrating digital learning tools into schools is usually difficult and complex. Common challenges arise, however, and can be thoughtfully addressed by proactive leadership. In the end, technology change in…

The learning environment in professional doctorate and postgraduate dental education: a qualitative study.

PubMed

Subramanian, J; Thomson, W M

2017-11-01

Currently, there is a lack of studies focusing on professional doctoral students' and graduates' perceptions of their learning environment, in particular, using a qualitative approach to elicit in-depth information. This article aims to contribute to the existing body of knowledge by systematically exploring, critically analysing and getting a deeper understanding of professional doctorate dental students' and graduates' insights into effective and ineffective clinical and physical learning environment characteristics. The study included a total of 20 participants. Participants included 16 final-year Doctor of Clinical Dentistry (DClinDent) students and four dental specialists (graduates of the DClinDent programme). Semi-structured, individual interviews were used. Participants were asked to reflect upon and describe in detail their effective and ineffective learning environment experiences. The critical incident technique was used to guide the data collection. Data were analysed using a general inductive qualitative approach. Learning environment characteristics which participants associated with effective learning included the following: sufficient opportunities for comprehensive treatment planning; introduction to a number of patient treatment philosophies; a sufficient number of complex cases; clinically oriented research and assignment topics; a focus on clinical training in the programme generally; a research topic of a realistic depth and breadth, suitable for their 'specialist training' degree; and a well-resourced and updated physical infrastructure. On the other hand, most participants indicated that the absence of an adequate number of clinical cases, an overemphasis on research (as opposed to clinical practice) in the DClinDent programme and an 'outdated' physical infrastructure in the dental school clinics could hamper effective clinical learning. These findings contribute to the meaningful advancement of the literature on learning environment strategies through the exploration of (and in-depth qualitative insights into) what facilitated effective learning by New Zealand professional doctorate candidates and graduates. These findings provide a starting point for reflection by international academic directors, educational developers, curriculum planners, programme managers and clinical teachers in respect of the further development of the learning environment. Although the findings from this study may not be directly transferable to all international contexts, they have the potential to contribute to the further development of theory in this area. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Situativity theory: a perspective on how participants and the environment can interact: AMEE Guide no. 52.

PubMed

Durning, Steven J; Artino, Anthony R

2011-01-01

Situativity theory refers to theoretical frameworks which argue that knowledge, thinking, and learning are situated (or located) in experience. The importance of context to these theories is paramount, including the unique contribution of the environment to knowledge, thinking, and learning; indeed, they argue that knowledge, thinking, and learning cannot be separated from (they are dependent upon) context. Situativity theory includes situated cognition, situated learning, ecological psychology, and distributed cognition. In this Guide, we first outline key tenets of situativity theory and then compare situativity theory to information processing theory; we suspect that the reader may be quite familiar with the latter, which has prevailed in medical education research. Contrasting situativity theory with information processing theory also serves to highlight some unique potential contributions of situativity theory to work in medical education. Further, we discuss each of these situativity theories and then relate the theories to the clinical context. Examples and illustrations for each of the theories are used throughout. We will conclude with some potential considerations for future exploration. Some implications of situativity theory include: a new way of approaching knowledge and how experience and the environment impact knowledge, thinking, and learning; recognizing that the situativity framework can be a useful tool to "diagnose" the teaching or clinical event; the notion that increasing individual responsibility and participation in a community (i.e., increasing "belonging") is essential to learning; understanding that the teaching and clinical environment can be complex (i.e., non-linear and multi-level); recognizing that explicit attention to how participants in a group interact with each other (not only with the teacher) and how the associated learning artifacts, such as computers, can meaningfully impact learning.

The Effects of Using Multimedia Presentations and Modular Worked-Out Examples as Instructional Methodologies to Manage the Cognitive Processing Associated with Information Literacy Instruction at the Graduate and Undergraduate Levels of Nursing Education

ERIC Educational Resources Information Center

Calhoun, Shawn P.

2012-01-01

Information literacy is a complex knowledge domain. Cognitive processing theory describes the effects an instructional subject and the learning environment have on working memory. Essential processing is one component of cognitive processing theory that explains the inherent complexity of knowledge domains such as information literacy. Prior…

Flipped Instruction in English Language Teacher Education: A Design-­Based Study in a Complex, Open-­Ended Learning Environment

ERIC Educational Resources Information Center

Egbert, Joy; Herman, David; Lee, HyunGyung

2015-01-01

Reports of flipped classrooms across areas in the field of ESL are rare, and those that address the complexities of ESL teacher education, particularly the methods course in which procedural knowledge is privileged over declarative knowledge, are even rarer. This paper uses a design-­-based research (DBR) approach to explore the flip of an ESL…

The learning environment of paediatric interns in South Africa.

PubMed

Naidoo, Kimesh L; Van Wyk, Jacqueline M; Adhikari, Miriam

2017-11-29

South African (SA) paediatric interns (recently qualified medical graduates) work in a high disease burdened and resource deficient environment for two years, prior to independent practice. Perceptions of this learning environment (LE) influences their approaches to training as well as the outcomes of this period of development. Obstacles to creating a supportive LE and supervisor interaction affects the quality of this training. Measuring perceptions of the LE with validated instruments can help inform improvements in learning during this crucial period of medical education. The aims of this study was to determine the psychometric qualities of the Postgraduate Hospital Educational Environment Measure (PHEEM) amongst paediatric interns across four hospital complexes in South Africa and to measure the LE as perceived by both interns and their supervisors. Construct validity was tested using factor analysis and internal consistency was measured with Cronbach's alpha. A total of 209 interns and 60 supervisors (69% intern response rate) responded to the questionnaire. The PHEEM was found to be very reliable with an overall Cronbach's alpha of 0.943 and 0.874 for intern and supervisors respectively. Factor analysis using a 3-factor solution accounted for 42% of the variance with the teaching subscale having the best fit compared with the other sub-scales of the original tool. Most interns perceived the learning environment as being more positive than negative however, their perceptions differed significantly from that of their supervisors. Poor infrastructural support from institutions, excessive workloads and inadequate supervision were factors preventing optimal training of paediatric interns. The SA version of the PHEEM tool used was found to be a reliable and valid instrument for use in interns amongst high disease burdened contexts. Various obstacles to creating an ideal learning environment for paediatric interns were identified to be in need of urgent review. Key differences in perceptions of an ideal learning environment between interns and their supervisors need to be fully explored as these may result in sub-optimal supervision and mentoring.

A 1-night operant learning task without food-restriction differentiates among mouse strains in an automated home-cage environment.

PubMed

Remmelink, Esther; Loos, Maarten; Koopmans, Bastijn; Aarts, Emmeke; van der Sluis, Sophie; Smit, August B; Verhage, Matthijs

2015-04-15

Individuals are able to change their behavior based on its consequences, a process involving instrumental learning. Studying instrumental learning in mice can provide new insights in this elementary aspect of cognition. Conventional appetitive operant learning tasks that facilitate the study of this form of learning in mice, as well as more complex operant paradigms, require labor-intensive handling and food deprivation to motivate the animals. Here, we describe a 1-night operant learning protocol that exploits the advantages of automated home-cage testing and circumvents the interfering effects of food restriction. The task builds on behavior that is part of the spontaneous exploratory repertoire during the days before the task. We compared the behavior of C57BL/6J, BALB/cJ and DBA/2J mice and found various differences in behavior during this task, but no differences in learning curves. BALB/cJ mice showed the largest instrumental learning response, providing a superior dynamic range and statistical power to study instrumental learning by using this protocol. Insights gained with this home-cage-based learning protocol without food restriction will be valuable for the development of other, more complex, cognitive tasks in automated home-cages. Copyright © 2015 Elsevier B.V. All rights reserved.

A general procedure to generate models for urban environmental-noise pollution using feature selection and machine learning methods.

PubMed

Torija, Antonio J; Ruiz, Diego P

2015-02-01

The prediction of environmental noise in urban environments requires the solution of a complex and non-linear problem, since there are complex relationships among the multitude of variables involved in the characterization and modelling of environmental noise and environmental-noise magnitudes. Moreover, the inclusion of the great spatial heterogeneity characteristic of urban environments seems to be essential in order to achieve an accurate environmental-noise prediction in cities. This problem is addressed in this paper, where a procedure based on feature-selection techniques and machine-learning regression methods is proposed and applied to this environmental problem. Three machine-learning regression methods, which are considered very robust in solving non-linear problems, are used to estimate the energy-equivalent sound-pressure level descriptor (LAeq). These three methods are: (i) multilayer perceptron (MLP), (ii) sequential minimal optimisation (SMO), and (iii) Gaussian processes for regression (GPR). In addition, because of the high number of input variables involved in environmental-noise modelling and estimation in urban environments, which make LAeq prediction models quite complex and costly in terms of time and resources for application to real situations, three different techniques are used to approach feature selection or data reduction. The feature-selection techniques used are: (i) correlation-based feature-subset selection (CFS), (ii) wrapper for feature-subset selection (WFS), and the data reduction technique is principal-component analysis (PCA). The subsequent analysis leads to a proposal of different schemes, depending on the needs regarding data collection and accuracy. The use of WFS as the feature-selection technique with the implementation of SMO or GPR as regression algorithm provides the best LAeq estimation (R(2)=0.94 and mean absolute error (MAE)=1.14-1.16 dB(A)). Copyright © 2014 Elsevier B.V. All rights reserved.

Co-Designing Mobile Apps to Assist in Clinical Nursing Education: A Study Protocol.

PubMed

O'Connor, Siobhan; Andrews, Tom

2016-01-01

Mobile applications (apps) to train health professionals is gaining momentum as the benefits of mobile learning (mLearning) are becoming apparent in complex clinical environments. However, most educational apps are generic, off-the-shelf pieces of software that do not take into consideration the unique needs of nursing students. The proposed study will apply a user-centred design process to create a tailored mobile app for nursing students to learn and apply clinical skills in practice. The app will be piloted and evaluated to understand how nursing students use mobile technology in clinical settings to support their learning and educational needs.

Beyond adaptive-critic creative learning for intelligent mobile robots

NASA Astrophysics Data System (ADS)

Liao, Xiaoqun; Cao, Ming; Hall, Ernest L.

2001-10-01

Intelligent industrial and mobile robots may be considered proven technology in structured environments. Teach programming and supervised learning methods permit solutions to a variety of applications. However, we believe that to extend the operation of these machines to more unstructured environments requires a new learning method. Both unsupervised learning and reinforcement learning are potential candidates for these new tasks. The adaptive critic method has been shown to provide useful approximations or even optimal control policies to non-linear systems. The purpose of this paper is to explore the use of new learning methods that goes beyond the adaptive critic method for unstructured environments. The adaptive critic is a form of reinforcement learning. A critic element provides only high level grading corrections to a cognition module that controls the action module. In the proposed system the critic's grades are modeled and forecasted, so that an anticipated set of sub-grades are available to the cognition model. The forecasting grades are interpolated and are available on the time scale needed by the action model. The success of the system is highly dependent on the accuracy of the forecasted grades and adaptability of the action module. Examples from the guidance of a mobile robot are provided to illustrate the method for simple line following and for the more complex navigation and control in an unstructured environment. The theory presented that is beyond the adaptive critic may be called creative theory. Creative theory is a form of learning that models the highest level of human learning - imagination. The application of the creative theory appears to not only be to mobile robots but also to many other forms of human endeavor such as educational learning and business forecasting. Reinforcement learning such as the adaptive critic may be applied to known problems to aid in the discovery of their solutions. The significance of creative theory is that it permits the discovery of the unknown problems, ones that are not yet recognized but may be critical to survival or success.

The Effects of Theta Precession on Spatial Learning and Simplicial Complex Dynamics in a Topological Model of the Hippocampal Spatial Map

PubMed Central

Arai, Mamiko; Brandt, Vicky; Dabaghian, Yuri

2014-01-01

Learning arises through the activity of large ensembles of cells, yet most of the data neuroscientists accumulate is at the level of individual neurons; we need models that can bridge this gap. We have taken spatial learning as our starting point, computationally modeling the activity of place cells using methods derived from algebraic topology, especially persistent homology. We previously showed that ensembles of hundreds of place cells could accurately encode topological information about different environments (“learn” the space) within certain values of place cell firing rate, place field size, and cell population; we called this parameter space the learning region. Here we advance the model both technically and conceptually. To make the model more physiological, we explored the effects of theta precession on spatial learning in our virtual ensembles. Theta precession, which is believed to influence learning and memory, did in fact enhance learning in our model, increasing both speed and the size of the learning region. Interestingly, theta precession also increased the number of spurious loops during simplicial complex formation. We next explored how downstream readout neurons might define co-firing by grouping together cells within different windows of time and thereby capturing different degrees of temporal overlap between spike trains. Our model's optimum coactivity window correlates well with experimental data, ranging from ∼150–200 msec. We further studied the relationship between learning time, window width, and theta precession. Our results validate our topological model for spatial learning and open new avenues for connecting data at the level of individual neurons to behavioral outcomes at the neuronal ensemble level. Finally, we analyzed the dynamics of simplicial complex formation and loop transience to propose that the simplicial complex provides a useful working description of the spatial learning process. PMID:24945927

SEI Overview

DTIC Science & Technology

2012-06-11

SOA DoD NextGen Chief Architect Support FAB-T, PMAG and EELV study GPS III satellite and OCX N-CSDS Global Hawk GSRA and UCS ORS SAF/A6...Workshop ATAM QAW eLearning Pilots Technical Assessments QUASAR Mission Success in Complex Environments Line-Funded Exploratory New Starts (LENS

The Social Organization of Schooling

ERIC Educational Resources Information Center

Hedges, Larry V., Ed.; Schneider, Barbara, Ed.

2005-01-01

Schools are complex social settings where students, teachers, administrators, and parents interact to shape a child's educational experience. Any effort to improve educational outcomes for America's children requires a dynamic understanding of the environments in which children learn. In "The Social Organization of Schooling", editors Larry Hedges…

Virtual environments for the transfer of navigation skills in the blind: a comparison of directed instruction vs. video game based learning approaches.

PubMed

Connors, Erin C; Chrastil, Elizabeth R; Sánchez, Jaime; Merabet, Lotfi B

2014-01-01

For profoundly blind individuals, navigating in an unfamiliar building can represent a significant challenge. We investigated the use of an audio-based, virtual environment called Audio-based Environment Simulator (AbES) that can be explored for the purposes of learning the layout of an unfamiliar, complex indoor environment. Furthermore, we compared two modes of interaction with AbES. In one group, blind participants implicitly learned the layout of a target environment while playing an exploratory, goal-directed video game. By comparison, a second group was explicitly taught the same layout following a standard route and instructions provided by a sighted facilitator. As a control, a third group interacted with AbES while playing an exploratory, goal-directed video game however, the explored environment did not correspond to the target layout. Following interaction with AbES, a series of route navigation tasks were carried out in the virtual and physical building represented in the training environment to assess the transfer of acquired spatial information. We found that participants from both modes of interaction were able to transfer the spatial knowledge gained as indexed by their successful route navigation performance. This transfer was not apparent in the control participants. Most notably, the game-based learning strategy was also associated with enhanced performance when participants were required to find alternate routes and short cuts within the target building suggesting that a ludic-based training approach may provide for a more flexible mental representation of the environment. Furthermore, outcome comparisons between early and late blind individuals suggested that greater prior visual experience did not have a significant effect on overall navigation performance following training. Finally, performance did not appear to be associated with other factors of interest such as age, gender, and verbal memory recall. We conclude that the highly interactive and immersive exploration of the virtual environment greatly engages a blind user to develop skills akin to positive near transfer of learning. Learning through a game play strategy appears to confer certain behavioral advantages with respect to how spatial information is acquired and ultimately manipulated for navigation.

Virtual environments for the transfer of navigation skills in the blind: a comparison of directed instruction vs. video game based learning approaches

PubMed Central

Connors, Erin C.; Chrastil, Elizabeth R.; Sánchez, Jaime; Merabet, Lotfi B.

2014-01-01

For profoundly blind individuals, navigating in an unfamiliar building can represent a significant challenge. We investigated the use of an audio-based, virtual environment called Audio-based Environment Simulator (AbES) that can be explored for the purposes of learning the layout of an unfamiliar, complex indoor environment. Furthermore, we compared two modes of interaction with AbES. In one group, blind participants implicitly learned the layout of a target environment while playing an exploratory, goal-directed video game. By comparison, a second group was explicitly taught the same layout following a standard route and instructions provided by a sighted facilitator. As a control, a third group interacted with AbES while playing an exploratory, goal-directed video game however, the explored environment did not correspond to the target layout. Following interaction with AbES, a series of route navigation tasks were carried out in the virtual and physical building represented in the training environment to assess the transfer of acquired spatial information. We found that participants from both modes of interaction were able to transfer the spatial knowledge gained as indexed by their successful route navigation performance. This transfer was not apparent in the control participants. Most notably, the game-based learning strategy was also associated with enhanced performance when participants were required to find alternate routes and short cuts within the target building suggesting that a ludic-based training approach may provide for a more flexible mental representation of the environment. Furthermore, outcome comparisons between early and late blind individuals suggested that greater prior visual experience did not have a significant effect on overall navigation performance following training. Finally, performance did not appear to be associated with other factors of interest such as age, gender, and verbal memory recall. We conclude that the highly interactive and immersive exploration of the virtual environment greatly engages a blind user to develop skills akin to positive near transfer of learning. Learning through a game play strategy appears to confer certain behavioral advantages with respect to how spatial information is acquired and ultimately manipulated for navigation. PMID:24822044

Innovative health care delivery teams: learning to be a team player is as important as learning other specialised skills.

PubMed

Fitzgerald, Anneke; Davison, Graydon

2008-01-01

The purpose of the paper is to show that free flowing teamwork depends on at least three aspects of team life: functional diversity, social cohesion and superordinate identity. The paper takes the approach of a discussion, arguing for a strong need to understand multidisciplinary and cross-functional barriers for achieving team goals in the context of health care. These barriers include a strong medically dominated business model, historically anchored delineations between professional identities and a complex organisational environment where individuals may have conflicting goals. The paper finds that the complexity is exacerbated by the differences between and within health care teams. It illustrates the differences by presenting the case of an operating theatre team. Whilst the paper recommends some ideas for acquiring these skills, further research is needed to assess effectiveness and influence of team skills training on optimising multidisciplinary interdependence in the health care environment. The paper shows that becoming a team member requires team membership skills.

Foreign language learning in immersive virtual environments

NASA Astrophysics Data System (ADS)

Chang, Benjamin; Sheldon, Lee; Si, Mei; Hand, Anton

2012-03-01

Virtual reality has long been used for training simulations in fields from medicine to welding to vehicular operation, but simulations involving more complex cognitive skills present new design challenges. Foreign language learning, for example, is increasingly vital in the global economy, but computer-assisted education is still in its early stages. Immersive virtual reality is a promising avenue for language learning as a way of dynamically creating believable scenes for conversational training and role-play simulation. Visual immersion alone, however, only provides a starting point. We suggest that the addition of social interactions and motivated engagement through narrative gameplay can lead to truly effective language learning in virtual environments. In this paper, we describe the development of a novel application for teaching Mandarin using CAVE-like VR, physical props, human actors and intelligent virtual agents, all within a semester-long multiplayer mystery game. Students travel (virtually) to China on a class field trip, which soon becomes complicated with intrigue and mystery surrounding the lost manuscript of an early Chinese literary classic. Virtual reality environments such as the Forbidden City and a Beijing teahouse provide the setting for learning language, cultural traditions, and social customs, as well as the discovery of clues through conversation in Mandarin with characters in the game.

Learning from Somaliland? Transferability of learning from volunteering to national health service practice in the UK.

PubMed

Tillson, Esther; van Wees, Sibylle Herzig; McGowan, Charlotte; Franklin, Hannah; Jones, Helena; Bogue, Patrick; Aliabadi, Shirin; Baraitser, Paula

2016-03-22

Capacity building partnerships between healthcare institutions have the potential to benefit both partners particularly in staff development. Previous research suggests that volunteering can contribute to professional development but there is little evidence on how learning is acquired, the barriers and facilitators to learning in this context or the process of translation of learning to the home environment. Volunteers from a healthcare partnership between the UK and Somaliland reported learning in communication, interdisciplinary working, teaching, management, leadership and service development. This learning came from observing familiar practices in unfamiliar environments; alternative solutions to familiar problems; learning about Somali culture; opportunities to assume higher levels of responsibility and new professional relationships. There was variability in the extent of translation to NHS practice. Time and support available for reflection and mentoring were important facilitators of this process. The professional development outcomes documented in this study came directly from the experience of volunteering. Experiential learning theory suggests that this requires a complex process of critical reflection and new knowledge generation, testing and translation for use in new contexts. This process benefits from identification of learning as an important element of volunteering and support for reflection and the translation translation of learning to UK contexts. We suggest that missed opportunities for volunteer learning will remain until the volunteering process is overtly framed as part of continuing professional development.

Geoscience Education Research: A Brief History, Context and Opportunities

NASA Astrophysics Data System (ADS)

Mogk, D. W.; Manduca, C. A.; Kastens, K. A.

2011-12-01

DBER combines knowledge of teaching and learning with deep knowledge of discipline-specific science content. It describes the discipline-specific difficulties learners face and the specialized intellectual and instructional resources that can facilitate student understanding (NRC, 2011). In the geosciences, content knowledge derives from all the "spheres, the complex interactions of components of the Earth system, applications of first principles from allied sciences, an understanding of "deep time", and approaches that emphasize the interpretive and historical nature of geoscience. Insights gained from the theory and practice of the cognitive and learning sciences that demonstrate how people learn, as well as research on learning from other STEM disciplines, have helped inform the development of geoscience curricular initiatives. The Earth Science Curriculum Project (1963) was strongly influenced by Piaget and emphasized hands-on, experiential learning. Recognizing that education research was thriving in related STEM disciplines a NSF report (NSF 97-171) recommended "... that GEO and EHR both support research in geoscience education, helping geoscientists to work with colleagues in fields such as educational and cognitive psychology, in order to facilitate development of a new generation of geoscience educators." An NSF sponsored workshop, Bringing Research on Learning to the Geosciences (2002) brought together geoscience educators and cognitive scientists to explore areas of mutual interest, and identified a research agenda that included study of spatial learning, temporal learning, learning about complex systems, use of visualizations in geoscience learning, characterization of expert learning, and learning environments. Subsequent events have focused on building new communities of scholars, such as the On the Cutting Edge faculty professional development workshops, extensive collections of online resources, and networks of scholars that have addressed teaching with visualizations, the affective domain, observing and assessing student learning, metacognition, and understanding complex systems. Geoscience education research is a growing and thriving field of scholarship that includes new PhD programs in geocognition (e.g. Michigan State Univ., Purdue Univ., Arizona State Univ., North Carolina State Univ.), and numerous collaborative research consortia (e.g. Synthesis of Research on Learning in the Geosciences; Spatial Intelligence and Learning Center, Geoscience Affective Research Network). The results of geoscience education research are presently being incorporated into the geoscience curriculum through teaching activities and textbooks. These many contributions reveal the need for sustained research on related topics: assessments of student learning, learning environments (lab and field), "what works" for different learning audiences, learning in upper division disciplinary courses, the nature of geoscience expertise. The National Research Council is currently reviewing the Status, Contributions, and Future Direction of Discipline-Based Education Research (DBER), see: http://www7.nationalacademies.org/bose/DBER_Homepage.html

Investigating engagement, thinking, and learning among culturally diverse, urban sixth graders experiencing an inquiry-based science curriculum, contextualized in the local environment

NASA Astrophysics Data System (ADS)

Kelley, Sybil Schantz

This mixed-methods study combined pragmatism, sociocultural perspectives, and systems thinking concepts to investigate students' engagement, thinking, and learning in science in an urban, K-8 arts, science, and technology magnet school. A grant-funded school-university partnership supported the implementation of an inquiry-based science curriculum, contextualized in the local environment through field experiences. The researcher worked as co-teacher of 3 sixth-grade science classes and was deeply involved in the daily routines of the school. The purposes of the study were to build a deeper understanding of the complex interactions that take place in an urban science classroom, including challenges related to implementing culturally-relevant instruction; and to offer insight into the role educational systems play in supporting teaching and learning. The central hypothesis was that connecting learning to meaningful experiences in the local environment can provide culturally accessible points of engagement from which to build science learning. Descriptive measures provided an assessment of students' engagement in science activities, as well as their levels of thinking and learning throughout the school year. Combined with analyses of students' work files and focus group responses, these findings provided strong evidence of engagement attributable to the inquiry-based curriculum. In some instances, degree of engagement was found to be affected by student "reluctance" and "resistance," terms defined but needing further examination. A confounding result showed marked increases in thinking levels coupled with stasis or decrease in learning. Congruent with past studies, data indicated the presence of tension between the diverse cultures of students and the mainstream cultures of school and science. Findings were synthesized with existing literature to generate the study's principal product, a grounded theory model representing the complex, interacting factors involved in teaching and learning. The model shows that to support learning and to overcome cultural tensions, there must be alignment among three main forces or "causal factors": students, teaching, and school climate. Conclusions emphasize system-level changes to support science learning, including individualized support for students in the form of differentiated instruction; focus on excellence in teaching, particularly through career-spanning professional support for teachers; and attention to identifying key leverage points for implementing effective change.

Learning for sustainability among faith-based organizations in Kenya.

PubMed

Moyer, Joanne M; Sinclair, A John; Diduck, Alan P

2014-08-01

The complex and unpredictable contexts in which environmental and development work take place require an adaptable, learning approach. Faith-based organizations (FBOs) play a significant role in sustainability work around the world, and provide a unique setting in which to study learning. This paper explores individual learning for sustainability within two FBOs engaged in sustainability work in Kenya. Learning outcomes covered a broad range of areas, including the sustainability framework, environment/conservation, skills, community work, interpersonal engagement, and personal and faith development. These outcomes were acquired through embodied experience and activity, facilitation by the workplace, interpersonal interaction, personal reflection, and Bible study and worship. Grounded categories were compared to learning domains and processes described by Mezirow's transformative learning theory. The findings indicate that for learning in the sustainability field, instrumental learning and embodied learning processes are particularly important, and consequently they require greater attention in the theory when applied in this field.

Learning for Sustainability Among Faith-Based Organizations in Kenya

NASA Astrophysics Data System (ADS)

Moyer, Joanne M.; Sinclair, A. John; Diduck, Alan P.

2014-08-01

The complex and unpredictable contexts in which environmental and development work take place require an adaptable, learning approach. Faith-based organizations (FBOs) play a significant role in sustainability work around the world, and provide a unique setting in which to study learning. This paper explores individual learning for sustainability within two FBOs engaged in sustainability work in Kenya. Learning outcomes covered a broad range of areas, including the sustainability framework, environment/conservation, skills, community work, interpersonal engagement, and personal and faith development. These outcomes were acquired through embodied experience and activity, facilitation by the workplace, interpersonal interaction, personal reflection, and Bible study and worship. Grounded categories were compared to learning domains and processes described by Mezirow's transformative learning theory. The findings indicate that for learning in the sustainability field, instrumental learning and embodied learning processes are particularly important, and consequently they require greater attention in the theory when applied in this field.

Designing computer learning environments for engineering and computer science: The scaffolded knowledge integration framework

NASA Astrophysics Data System (ADS)

Linn, Marcia C.

1995-06-01

Designing effective curricula for complex topics and incorporating technological tools is an evolving process. One important way to foster effective design is to synthesize successful practices. This paper describes a framework called scaffolded knowledge integration and illustrates how it guided the design of two successful course enhancements in the field of computer science and engineering. One course enhancement, the LISP Knowledge Integration Environment, improved learning and resulted in more gender-equitable outcomes. The second course enhancement, the spatial reasoning environment, addressed spatial reasoning in an introductory engineering course. This enhancement minimized the importance of prior knowledge of spatial reasoning and helped students develop a more comprehensive repertoire of spatial reasoning strategies. Taken together, the instructional research programs reinforce the value of the scaffolded knowledge integration framework and suggest directions for future curriculum reformers.

Safe Exploration Algorithms for Reinforcement Learning Controllers.

PubMed

Mannucci, Tommaso; van Kampen, Erik-Jan; de Visser, Cornelis; Chu, Qiping

2018-04-01

Self-learning approaches, such as reinforcement learning, offer new possibilities for autonomous control of uncertain or time-varying systems. However, exploring an unknown environment under limited prediction capabilities is a challenge for a learning agent. If the environment is dangerous, free exploration can result in physical damage or in an otherwise unacceptable behavior. With respect to existing methods, the main contribution of this paper is the definition of a new approach that does not require global safety functions, nor specific formulations of the dynamics or of the environment, but relies on interval estimation of the dynamics of the agent during the exploration phase, assuming a limited capability of the agent to perceive the presence of incoming fatal states. Two algorithms are presented with this approach. The first is the Safety Handling Exploration with Risk Perception Algorithm (SHERPA), which provides safety by individuating temporary safety functions, called backups. SHERPA is shown in a simulated, simplified quadrotor task, for which dangerous states are avoided. The second algorithm, denominated OptiSHERPA, can safely handle more dynamically complex systems for which SHERPA is not sufficient through the use of safety metrics. An application of OptiSHERPA is simulated on an aircraft altitude control task.

Category Learning Research in the Interactive Online Environment Second Life

NASA Technical Reports Server (NTRS)

Andrews, Jan; Livingston, Ken; Sturm, Joshua; Bliss, Daniel; Hawthorne, Daniel

2011-01-01

The interactive online environment Second Life allows users to create novel three-dimensional stimuli that can be manipulated in a meaningful yet controlled environment. These features suggest Second Life's utility as a powerful tool for investigating how people learn concepts for unfamiliar objects. The first of two studies was designed to establish that cognitive processes elicited in this virtual world are comparable to those tapped in conventional settings by attempting to replicate the established finding that category learning systematically influences perceived similarity . From the perspective of an avatar, participants navigated a course of unfamiliar three-dimensional stimuli and were trained to classify them into two labeled categories based on two visual features. Participants then gave similarity ratings for pairs of stimuli and their responses were compared to those of control participants who did not learn the categories. Results indicated significant compression, whereby objects classified together were judged to be more similar by learning than control participants, thus supporting the validity of using Second Life as a laboratory for studying human cognition. A second study used Second Life to test the novel hypothesis that effects of learning on perceived similarity do not depend on the presence of verbal labels for categories. We presented the same stimuli but participants classified them by selecting between two complex visual patterns designed to be extremely difficult to label. While learning was more challenging in this condition , those who did learn without labels showed a compression effect identical to that found in the first study using verbal labels. Together these studies establish that at least some forms of human learning in Second Life parallel learning in the actual world and thus open the door to future studies that will make greater use of the enriched variety of objects and interactions possible in simulated environments compared to traditional experimental situations.

Designing Science Learning Environments That Support Emerging Bilingual Students to Problematize Electrical Phenomena

NASA Astrophysics Data System (ADS)

Suarez, Enrique A.

This dissertation investigates how emerging bilingual students make sense of natural phenomena through engaging in certain epistemic practices of science, and the elements of the learning environment that created those opportunities. Specifically, the dissertation focuses on how emerging bilingual students problematized electrical phenomena, like electric flow and electrical resistance, and how the design features of the environment (e.g., sequencing of activities, linguistic practices) may have supported students as they made sense of phenomena. The first study describes how for students presented and evaluated mechanistic models of electric flow, focusing specifically on how students identified and negotiated a disagreement between their explanatory models. The results from this study highlight the complexity of students' disagreements, not only because of the epistemological aspects related to presenting and evaluating knowledge, but also due to interpersonal dynamics and the discomfort associated with disagreeing with another person. The second study focuses on the design features of the learning environment that supported emerging bilingual students' investigations of electrical phenomena. The findings from this study highlight how a carefully designed set of activities, with the appropriate material resources (e.g., experimental tools), could support students to problematize electrical resistance. The third study describes how emerging bilingual students engaged in translanguaging practices and the contextual features of the learning environment that created and hindered opportunities for translanguaging. The findings from this study identify and articulate how emerging bilingual students engaged in translanguaging practices when problematizing electrical resistance, and strengthen the perspective that, in order to be equitable for emerging bilingual students, science learning environments need to act as translanguaging spaces. This dissertation makes three contributions to how science educators understand how elementary-aged emerging bilingual students learning science. First, I offer a detailed account of how emerging bilingual students engaged in epistemic practices to problematize electrical phenomena. Secondly, I argue learning environments need to create opportunities for emerging bilingual students to engage in productive epistemic work through leveraging multiple kinds of resources from their semiotic repertoires. Finally, this dissertation contributes to our understanding of how emerging bilingual students engage in translanguaging practices as they investigate and talk about the natural world.

The Value of Indirect Teaching Strategies in Enhancing Student-Coaches’ Learning Engagement

PubMed Central

Mesquita, Isabel; Coutinho, Patrícia; De Martin-Silva, Luciana; Parente, Bruno; Faria, Mário; Afonso, José

2015-01-01

This study aimed to examine the indirect teaching strategies adopted by a coach educator in terms of promoting student-coaches’ engagement in a positive and active learning environment. The participants were an expert coach educator and seven student-coaches from an academic coaching setting. A mix method approach was used to collect data. Whilst video-recording and participant observations were used to collect data from the lessons, focus groups were adopted to recall the perceptions of student-coaches. The results showed that indirect teaching strategies (i.e., asking questions, showing signs of autonomy by monitoring the pace at which they completed tasks and actively engaging in the search for solutions to tasks) implemented by the coach educator promoted a supportive and challenging learning environment which, in turn, encouraged student-coaches to be more actively involved in the lessons. Additionally, the affective aspects of the relationship established with student-coaches (tone of voice, gestures, facial expressions, eye contact, physical contact and humor) led them to feel confident in exposing their doubts and opinions, and in learning in a more autonomous manner. Moreover, the practical lessons proved to be crucial in helping student-coaches to reach broader and deeper forms of understanding by allowing the application of theory to coaching practice. In conclusion, this study reinforces the value of indirect teaching strategies to stimulate an active learning environment. It further highlights the value of practical learning environments to better prepare neophyte coaches for dealing with the complex and dynamic nature of their professional reality. Key points Both instructional and affective teaching indirect strategies used by the coach educator promoted a positive and challenging learning environment to student-coaches. The directness profile used by this coach educator (questioning, giving autonomy for problem solving and responsibility to regulate the learning tasks development) promoted the awareness and the ability of student-coaches to explore alternative solutions and self-regulate their own learning. Using humor, touch, gestures and tone of voice, the coach educator showed great care for student-coaches, which impacted positively on their enthusiasm, confidence and desire to be actively engaged in their own learning. PMID:26336354

Undergraduate nursing students' perspectives on clinical assessment at transition to practice.

PubMed

Wu, Xi Vivien; Wang, Wenru; Pua, Lay Hoon; Heng, Doreen Gek Noi; Enskär, Karin

2015-01-01

Assessment of clinical competence requires explicitly defined standards meeting the national standards of the nursing profession. This is a complex process because of the diverse nature of nursing practice. To explore the perceptions of final-year undergraduate nursing students regarding clinical assessment at transition to practice. An exploratory qualitative approach was adopted. Twenty-four students participated in three focus group discussions. Thematic analysis was conducted. Five themes emerged: the need for a valid and reliable clinical assessment tool, the need for a flexible style of reflection and specific feedback, the dynamic clinical learning environment, students' efforts in learning and assessment, and the unclear support system for preceptors. Workload, time, resource availability, adequate preparation of preceptors, and the provision of valid and reliable clinical assessment tools were deemed to influence the quality of students' clinical learning and assessment. Nursing leadership in hospitals and educational institutions has a joint responsibility in shaping the clinical learning environment and providing clinical assessments for the students.

Cognitive Tutoring based on Intelligent Decision Support in the PENTHA Instructional Design Model

NASA Astrophysics Data System (ADS)

dall'Acqua, Luisa

2010-06-01

The research finality of this paper is how to support Authors to develop rule driven—subject oriented, adaptable course content, meta-rules—representing the disciplinary epistemology, model of teaching, Learning Path structure, and assessment parameters—for intelligent Tutoring actions in a personalized, adaptive e-Learning environment. The focus is to instruct the student to be a decision manager for himself, able to recognize the elements of a problem, select the necessary information with the perspective of factual choices. In particular, our research intends to provide some fundamental guidelines for the definition of didactical rules and logical relations, that Authors should provide to a cognitive Tutoring system through the use of an Instructional Design method (PENTHA Model) which proposes an educational environment, able to: increase productivity and operability, create conditions for a cooperative dialogue, developing participatory research activities of knowledge, observations and discoveries, customizing the learning design in a complex and holistic vision of the learning / teaching processes.

Infrared vehicle recognition using unsupervised feature learning based on K-feature

NASA Astrophysics Data System (ADS)

Lin, Jin; Tan, Yihua; Xia, Haijiao; Tian, Jinwen

2018-02-01

Subject to the complex battlefield environment, it is difficult to establish a complete knowledge base in practical application of vehicle recognition algorithms. The infrared vehicle recognition is always difficult and challenging, which plays an important role in remote sensing. In this paper we propose a new unsupervised feature learning method based on K-feature to recognize vehicle in infrared images. First, we use the target detection algorithm which is based on the saliency to detect the initial image. Then, the unsupervised feature learning based on K-feature, which is generated by Kmeans clustering algorithm that extracted features by learning a visual dictionary from a large number of samples without label, is calculated to suppress the false alarm and improve the accuracy. Finally, the vehicle target recognition image is finished by some post-processing. Large numbers of experiments demonstrate that the proposed method has satisfy recognition effectiveness and robustness for vehicle recognition in infrared images under complex backgrounds, and it also improve the reliability of it.

Genetic algorithm learning in a New Keynesian macroeconomic setup.

PubMed

Hommes, Cars; Makarewicz, Tomasz; Massaro, Domenico; Smits, Tom

2017-01-01

In order to understand heterogeneous behavior amongst agents, empirical data from Learning-to-Forecast (LtF) experiments can be used to construct learning models. This paper follows up on Assenza et al. (2013) by using a Genetic Algorithms (GA) model to replicate the results from their LtF experiment. In this GA model, individuals optimize an adaptive, a trend following and an anchor coefficient in a population of general prediction heuristics. We replicate experimental treatments in a New-Keynesian environment with increasing complexity and use Monte Carlo simulations to investigate how well the model explains the experimental data. We find that the evolutionary learning model is able to replicate the three different types of behavior, i.e. convergence to steady state, stable oscillations and dampened oscillations in the treatments using one GA model. Heterogeneous behavior can thus be explained by an adaptive, anchor and trend extrapolating component and the GA model can be used to explain heterogeneous behavior in LtF experiments with different types of complexity.

Humanism within Globalization

ERIC Educational Resources Information Center

Weber, Jennifer E.

2014-01-01

The complexity of adult learning connects it to almost all other facets of human endeavor. Consequently, the future of adult education depends, to a large extent on who participates and the quality of such participation. Quality participation, when teamed with environments committed to a concern for humanity, launches opportunities for varied…

Networked Professional Learning: Relating the Formal and the Informal

ERIC Educational Resources Information Center

Vaessen, Matthieu; van den Beemt, Antoine; de Laat, Maarten

2014-01-01

The increasing complexity of the workplace environment requires teachers and professionals in general to tap into their social networks, inside and outside circles of direct colleagues and collaborators, for finding appropriate knowledge and expertise. This collective process of sharing and constructing knowledge can be considered "networked…

Teaching MBA Statistics Online: A Pedagogically Sound Process Approach

ERIC Educational Resources Information Center

Grandzol, John R.

2004-01-01

Delivering MBA statistics in the online environment presents significant challenges to education and students alike because of varying student preparedness levels, complexity of content, difficulty in assessing learning outcomes, and faculty availability and technological expertise. In this article, the author suggests a process model that…

Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning.

PubMed

Fernandez-Gauna, Borja; Etxeberria-Agiriano, Ismael; Graña, Manuel

2015-01-01

Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. In this paper we formalize and prove the convergence of a Distributed Round Robin Q-learning (D-RR-QL) algorithm for cooperative systems. The computational complexity of this algorithm increases linearly with the number of agents. Moreover, it eliminates environment non sta tionarity by carrying a round-robin scheduling of the action selection and execution. That this learning scheme allows the implementation of Modular State-Action Vetoes (MSAV) in cooperative multi-agent systems, which speeds up learning convergence in over-constrained systems by vetoing state-action pairs which lead to undesired termination states (UTS) in the relevant state-action subspace. Each agent's local state-action value function learning is an independent process, including the MSAV policies. Coordination of locally optimal policies to obtain the global optimal joint policy is achieved by a greedy selection procedure using message passing. We show that D-RR-QL improves over state-of-the-art approaches, such as Distributed Q-Learning, Team Q-Learning and Coordinated Reinforcement Learning in a paradigmatic Linked Multi-Component Robotic System (L-MCRS) control problem: the hose transportation task. L-MCRS are over-constrained systems with many UTS induced by the interaction of the passive linking element and the active mobile robots.

Learning and inference using complex generative models in a spatial localization task.

PubMed

Bejjanki, Vikranth R; Knill, David C; Aslin, Richard N

2016-01-01

A large body of research has established that, under relatively simple task conditions, human observers integrate uncertain sensory information with learned prior knowledge in an approximately Bayes-optimal manner. However, in many natural tasks, observers must perform this sensory-plus-prior integration when the underlying generative model of the environment consists of multiple causes. Here we ask if the Bayes-optimal integration seen with simple tasks also applies to such natural tasks when the generative model is more complex, or whether observers rely instead on a less efficient set of heuristics that approximate ideal performance. Participants localized a "hidden" target whose position on a touch screen was sampled from a location-contingent bimodal generative model with different variances around each mode. Over repeated exposure to this task, participants learned the a priori locations of the target (i.e., the bimodal generative model), and integrated this learned knowledge with uncertain sensory information on a trial-by-trial basis in a manner consistent with the predictions of Bayes-optimal behavior. In particular, participants rapidly learned the locations of the two modes of the generative model, but the relative variances of the modes were learned much more slowly. Taken together, our results suggest that human performance in a more complex localization task, which requires the integration of sensory information with learned knowledge of a bimodal generative model, is consistent with the predictions of Bayes-optimal behavior, but involves a much longer time-course than in simpler tasks.

Visualizing Complex Environments in the Geo- and BioSciences

NASA Astrophysics Data System (ADS)

Prabhu, A.; Fox, P. A.; Zhong, H.; Eleish, A.; Ma, X.; Zednik, S.; Morrison, S. M.; Moore, E. K.; Muscente, D.; Meyer, M.; Hazen, R. M.

2017-12-01

Earth's living and non-living components have co-evolved for 4 billion years through numerous positive and negative feedbacks. Earth and life scientists have amassed vast amounts of data in diverse fields related to planetary evolution through deep time-mineralogy and petrology, paleobiology and paleontology, paleotectonics and paleomagnetism, geochemistry and geochrononology, genomics and proteomics, and more. Integrating the data from these complimentary disciplines is very useful in gaining an understanding of the evolution of our planet's environment. The integrated data however, represent many extremely complex environments. In order to gain insights and make discoveries using this data, it is important for us to model and visualize these complex environments. As part of work in understanding the "Co-Evolution of Geo and Biospheres using Data Driven Methodologies," we have developed several visualizations to help represent the information stored in the datasets from complimentary disciplines. These visualizations include 2D and 3D force directed Networks, Chord Diagrams, 3D Klee Diagrams. Evolving Network Diagrams, Skyline Diagrams and Tree Diagrams. Combining these visualizations with the results of machine learning and data analysis methods leads to a powerful way to discover patterns and relationships about the Earth's past and today's changing environment.

A Study To Determine Instructors Self-Reported Instructional Strategies Which Foster Science Literacy In An EFL (English as a Foreign Language) Environment

NASA Astrophysics Data System (ADS)

Noseworthy, Mark Joseph

2011-12-01

This research titled 'A Study to Determine Instructors Self-Reported Instructional Strategies Which Foster Science Literacy in an EFL (English as a Foreign Language) Environment' is an ethnographic study based on grounded theory principles and research design. The essence of the research was to answer five research questions that would ultimately create a foundation for instructional strategies allowing science instructors to foster science literacy in an EFL environment. The research attempts to conceptualize the research participants' instructional strategies that promote strong science literacy skills. Further to this, consider the complexities that this learning environment inherently offers, where the learning event is occurring in an English environment that is a second language for the learner. The research was designed to generate personal truths that produced common themes as it relates to the five research questions posed in this thesis; what instructional strategies do current post secondary science instructors at one College in Qatar believe foster science literacy in an EFL environment? As well, do science instructors believe that total immersion is the best approach to science literacy in an EFL environment? Is the North American model of teaching/learning science appropriate in this Middle Eastern environment? Are the current modes of teaching/instruction optimizing student's chances of success for science literacy? What do you feel are the greatest challenges for the EFL learner as it relates to science?

Students' perceptions of clinical teaching and learning strategies: a Pakistani perspective.

PubMed

Khan, Basnama Ayaz; Ali, Fauziya; Vazir, Nilofar; Barolia, Rubina; Rehan, Seema

2012-01-01

The complexity of the health care environment is increasing with the explosion of technology, coupled with the issues of patients' access, equity, time efficiency, and cost containment. Nursing education must focus on means that enable students to develop the processes of active learning, problem-solving, and critical thinking, in order to enable them to deal with the complexities. This study aims at identifying the nursing students' perceptions about the effectiveness of utilized teaching and learning strategies of clinical education, in improving students' knowledge, skills, and attitudes. A descriptive cross sectional study design was utilized using both qualitative and quantitative approaches. Data were collected from 74 students, using a questionnaire that was developed for the purpose of the study and analyzed using descriptive and non-parametric statistics. The findings revealed that demonstration was the most effective strategy for improving students' skills; reflection, for improving attitudes; and problem based learning and concept map for improving their knowledge. Students' responses to open-ended questions confirmed the effectiveness of these strategies in improving their learning outcomes. Recommendations have been provided based on the findings. Copyright © 2011 Elsevier Ltd. All rights reserved.

Hippocampal Replay Captures the Unique Topological Structure of a Novel Environment

PubMed Central

Wu, Xiaojing

2014-01-01

Hippocampal place-cell replay has been proposed as a fundamental mechanism of learning and memory, which might support navigational learning and planning. An important hypothesis of relevance to these proposed functions is that the information encoded in replay should reflect the topological structure of experienced environments; that is, which places in the environment are connected with which others. Here we report several attributes of replay observed in rats exploring a novel forked environment that support the hypothesis. First, we observed that overlapping replays depicting divergent trajectories through the fork recruited the same population of cells with the same firing rates to represent the common portion of the trajectories. Second, replay tended to be directional and to flip the represented direction at the fork. Third, replay-associated sharp-wave–ripple events in the local field potential exhibited substructure that mapped onto the maze topology. Thus, the spatial complexity of our recording environment was accurately captured by replay: the underlying neuronal activities reflected the bifurcating shape, and both directionality and associated ripple structure reflected the segmentation of the maze. Finally, we observed that replays occurred rapidly after small numbers of experiences. Our results suggest that hippocampal replay captures learned information about environmental topology to support a role in navigation. PMID:24806672

CLEANing the Reward: Counterfactual Actions to Remove Exploratory Action Noise in Multiagent Learning

NASA Technical Reports Server (NTRS)

HolmesParker, Chris; Taylor, Mathew E.; Tumer, Kagan; Agogino, Adrian

2014-01-01

Learning in multiagent systems can be slow because agents must learn both how to behave in a complex environment and how to account for the actions of other agents. The inability of an agent to distinguish between the true environmental dynamics and those caused by the stochastic exploratory actions of other agents creates noise in each agent's reward signal. This learning noise can have unforeseen and often undesirable effects on the resultant system performance. We define such noise as exploratory action noise, demonstrate the critical impact it can have on the learning process in multiagent settings, and introduce a reward structure to effectively remove such noise from each agent's reward signal. In particular, we introduce Coordinated Learning without Exploratory Action Noise (CLEAN) rewards and empirically demonstrate their benefits

Motor learning from virtual reality to natural environments in individuals with Duchenne muscular dystrophy.

PubMed

Quadrado, Virgínia Helena; Silva, Talita Dias da; Favero, Francis Meire; Tonks, James; Massetti, Thais; Monteiro, Carlos Bandeira de Mello

2017-11-10

To examine whether performance improvements in the virtual environment generalize to the natural environment. we had 64 individuals, 32 of which were individuals with DMD and 32 were typically developing individuals. The groups practiced two coincidence timing tasks. In the more tangible button-press task, the individuals were required to 'intercept' a falling virtual object at the moment it reached the interception point by pressing a key on the computer. In the more abstract task, they were instructed to 'intercept' the virtual object by making a hand movement in a virtual environment using a webcam. For individuals with DMD, conducting a coincidence timing task in a virtual environment facilitated transfer to the real environment. However, we emphasize that a task practiced in a virtual environment should have higher rates of difficulties than a task practiced in a real environment. IMPLICATIONS FOR REHABILITATION Virtual environments can be used to promote improved performance in ?real-world? environments. Virtual environments offer the opportunity to create paradigms similar ?real-life? tasks, however task complexity and difficulty levels can be manipulated, graded and enhanced to increase likelihood of success in transfer of learning and performance. Individuals with DMD, in particular, showed immediate performance benefits after using virtual reality.

Failure to flow: An exploration of learning and teaching in busy, multi-patient environments using an interpretive description method.

PubMed

Chan, Teresa M; Van Dewark, Kenneth; Sherbino, Jonathan; Schwartz, Alan; Norman, Geoff; Lineberry, Matthew

2017-12-01

As patient volumes continue to increase, more attention must be paid to skills that foster efficiency without sacrificing patient safety. The emergency department is a fertile ground for examining leadership and management skills, especially those that concern prioritization in multi-patient environments. We sought to understand the needs of emergency physicians (EPs) and emergency medicine junior trainees with regards to teaching and learning about how best to handle busy, multi-patient environments. A cognitive task analysis was undertaken, using a qualitative approach to elicit knowledge of EPs and residents about handling busy emergency department situations. Ten experienced EPs and 10 junior emergency medicine residents were interviewed about their experiences in busy emergency departments. Transcripts of the interviews were analyzed inductively and iteratively by two independent coders using an interpretive description technique. EP teachers and junior residents differed in their perceptions of what makes an emergency department busy. Moreover, they focused on different aspects of patient care that contributed to their busyness: EP teachers tended to focus on volume of patients, junior residents tended to focus on the complexity of certain cases. The most important barrier to effective teaching and learning of managerial skills was thought to be the lack of faculty development in this skill set. This study presents qualitative data that helps us elucidate how patient volumes affect our learning environments, and how clinical teachers and residents operate within these environments.

Exploring ward nurses' perceptions of continuing education in clinical settings.

PubMed

Govranos, Melissa; Newton, Jennifer M

2014-04-01

Health care systems demand that nurses are flexible skilful workers who maintain currency and competency in order to deliver safe effective patient centered care. Nurses must continually build best practice into their care and acquire lifelong learning. Often this learning is acquired within the work environment and is facilitated by the clinical nurse educator. Understanding clinical nurses' values and needs of continuing education is necessary to ensure appropriate education service delivery and thus enhance patient care. To explore clinical ward-based nurses' values and perceptions towards continuing education and what factors impact on continuing education in the ward. A case study approach was utilized. A major teaching hospital in Melbourne, Australia. A range of clinical nursing staff (n=23). Four focus groups and six semi-structured individual interviews were undertaken. Focus group interviews explored participants' values and perceptions on continuing education through a values clarification tool. Thematic analysis of interviews was undertaken to identify themes and cluster data. Three central themes: 'culture and attitudes', 'what is learning?' and 'being there-being seen', emerged reflecting staffs' values and perceptions of education and learning in the workplace. Multiple factors influence ward nurses' ability and motivation to incorporate lifelong learning into their practice. Despite variance in nurses' values and perceptions of CE in clinical environments, CE was perceived as important. Nurses yearned for changes to facilitate lifelong learning and cultivate a learning culture. Clinical nurse educators need to be cognizant of adult learners' characteristics such as values, beliefs, needs and potential barriers, to effectively facilitate support in a challenging and complex learning environment. Organizational support is essential so ward managers in conjunction with educational departments can promote and sustain continuing education, lifelong learning and a culture conducive to learning. © 2013.

The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems

PubMed Central

Baars, Martine; Wijnia, Lisette; Paas, Fred

2017-01-01

Self-regulated learning (SRL) skills are essential for learning during school years, particularly in complex problem-solving domains, such as biology and math. Although a lot of studies have focused on the cognitive resources that are needed for learning to solve problems in a self-regulated way, affective and motivational resources have received much less research attention. The current study investigated the relation between affect (i.e., Positive Affect and Negative Affect Scale), motivation (i.e., autonomous and controlled motivation), mental effort, SRL skills, and problem-solving performance when learning to solve biology problems in a self-regulated online learning environment. In the learning phase, secondary education students studied video-modeling examples of how to solve hereditary problems, solved hereditary problems which they chose themselves from a set of problems with different complexity levels (i.e., five levels). In the posttest, students solved hereditary problems, self-assessed their performance, and chose a next problem from the set of problems but did not solve these problems. The results from this study showed that negative affect, inaccurate self-assessments during the posttest, and higher perceptions of mental effort during the posttest were negatively associated with problem-solving performance after learning in a self-regulated way. PMID:28848467

Surgical approaches to complex vascular lesions: the use of virtual reality and stereoscopic analysis as a tool for resident and student education.

PubMed

Agarwal, Nitin; Schmitt, Paul J; Sukul, Vishad; Prestigiacomo, Charles J

2012-08-01

Virtual reality training for complex tasks has been shown to be of benefit in fields involving highly technical and demanding skill sets. The use of a stereoscopic three-dimensional (3D) virtual reality environment to teach a patient-specific analysis of the microsurgical treatment modalities of a complex basilar aneurysm is presented. Three different surgical approaches were evaluated in a virtual environment and then compared to elucidate the best surgical approach. These approaches were assessed with regard to the line-of-sight, skull base anatomy and visualisation of the relevant anatomy at the level of the basilar artery and surrounding structures. Overall, the stereoscopic 3D virtual reality environment with fusion of multimodality imaging affords an excellent teaching tool for residents and medical students to learn surgical approaches to vascular lesions. Future studies will assess the educational benefits of this modality and develop a series of metrics for student assessments.

In-Factory Learning - Qualification For The Factory Of The Future

NASA Astrophysics Data System (ADS)

Quint, Fabian; Mura, Katharina; Gorecky, Dominic

2015-07-01

The Industry 4.0 vision anticipates that internet technologies will find their way into future factories replacing traditional components by dynamic and intelligent cyber-physical systems (CPS) that combine the physical objects with their digital representation. Reducing the gap between the real and digital world makes the factory environment more flexible, more adaptive, but also more complex for the human workers. Future workers require interdisciplinary competencies from engineering, information technology, and computer science in order to understand and manage the diverse interrelations between physical objects and their digital counterpart. This paper proposes a mixed-reality based learning environment, which combines physical objects and visualisation of digital content via Augmented Reality. It uses reality-based interaction in order to make the dynamic interrelations between real and digital factory visible and tangible. We argue that our learning system does not work as a stand-alone solution, but should fit into existing academic and advanced training curricula.

Multi-Instance Learning Models for Automated Support of Analysts in Simulated Surveillance Environments

NASA Technical Reports Server (NTRS)

Birisan, Mihnea; Beling, Peter

2011-01-01

New generations of surveillance drones are being outfitted with numerous high definition cameras. The rapid proliferation of fielded sensors and supporting capacity for processing and displaying data will translate into ever more capable platforms, but with increased capability comes increased complexity and scale that may diminish the usefulness of such platforms to human operators. We investigate methods for alleviating strain on analysts by automatically retrieving content specific to their current task using a machine learning technique known as Multi-Instance Learning (MIL). We use MIL to create a real time model of the analysts' task and subsequently use the model to dynamically retrieve relevant content. This paper presents results from a pilot experiment in which a computer agent is assigned analyst tasks such as identifying caravanning vehicles in a simulated vehicle traffic environment. We compare agent performance between MIL aided trials and unaided trials.

Learning the wrong lessons? Science and fisheries management in the Chesapeake Bay blue crab fishery.

PubMed

Beem, Betsi

2012-05-01

This paper argues that information produced and then taken up for policy decision making is a function of a complex interplay within the scientific community and between scientists and the broader policy network who are all grappling with issues in a complex environment with a high degree of scientific uncertainty. The dynamics of forming and re-forming the scientific community are shaped by political processes, as are the directions and questions scientists attend to in their roles as policy advisors. Three factors: 1) social construction of scientific communities, 2) the indeterminacy of science, and 3) demands by policy makers to have concrete information for decision making; are intertwined in the production and dissemination of information that may serve as the basis for policy learning. Through this process, however, what gets learned may not be what is needed to mitigate the problem, be complete in terms of addressing multiple causations, or be correct.

Amplifying human ability through autonomics and machine learning in IMPACT

NASA Astrophysics Data System (ADS)

Dzieciuch, Iryna; Reeder, John; Gutzwiller, Robert; Gustafson, Eric; Coronado, Braulio; Martinez, Luis; Croft, Bryan; Lange, Douglas S.

2017-05-01

Amplifying human ability for controlling complex environments featuring autonomous units can be aided by learned models of human and system performance. In developing a command and control system that allows a small number of people to control a large number of autonomous teams, we employ an autonomics framework to manage the networks that represent mission plans and the networks that are composed of human controllers and their autonomous assistants. Machine learning allows us to build models of human and system performance useful for monitoring plans and managing human attention and task loads. Machine learning also aids in the development of tactics that human supervisors can successfully monitor through the command and control system.

Earth Day 2018 Activities

NASA Image and Video Library

2018-04-17

During the annual Earth Day celebration at the Kennedy Space Center Visitor Complex, guests have an opportunity to learn about the environment. The two-day event featured approximately 50 exhibitors offering information on a variety of topics, including electric vehicles, sustainable lighting, renewable energy, Florida-friendly landscaping tips, Florida’s biking trails and more.

Contextualizing How Undergraduate Students Develop toward Critical Consciousness

ERIC Educational Resources Information Center

Taylor, Kari Brooke

2017-01-01

The purpose of this qualitative case study was to examine how interactions between undergraduate students and their learning environments influenced their development toward critical consciousness. Critical consciousness represents a complex way of making meaning of one's self in relation to one's social world that is necessary for meeting the…

Assessing the Language of Chat for Teamwork Dialogue

ERIC Educational Resources Information Center

Shibani, Antonette; Koh, Elizabeth; Lai, Vivian; Shim, Kyong Jin

2017-01-01

In technology-enhanced language learning, many pedagogical activities involve students in online discussion such as synchronous chat, in order to help them practice their language skills. Besides developing the language competency of students, it is also crucial to nurture their teamwork competencies for today's global and complex environment.…

Technology Leadership Preparedness: Principals' Perceptions

ERIC Educational Resources Information Center

Metcalf, Wendy; LaFrance, Jason

2013-01-01

Adopting technology in the K-12 classroom is evolving from adapting lessons that highlight a technology to pervasive use of interactive and handheld devices. In this environment, school leaders have the complex task of incorporating technologies to enhance teaching and learning. The purpose of this quasi-experimental quantitative study was to…

Faith and Learning in a Post-Truth World

ERIC Educational Resources Information Center

Jacobsen, Douglas; Jacobsen, Rhonda Hustedt

2018-01-01

American colleges and universities, along with American culture in general, have entered a new post-truth era. In responding to this new environment, colleges and universities might benefit from a more comprehensive engagement with religion and its complex understanding of truth. The model for engagement proposed here focuses on five educational…

Learning Leadership Skills in a Simulated Business Environment

ERIC Educational Resources Information Center

Siewiorek, Anna; Saarinen, Eeli; Lainema, Timo; Lehtinen, Erno

2012-01-01

In today's unstable market economy, individuals have to be skilled to work efficiently in constantly changing and complex situations. Thus, graduate students have to be trained to cope with unpredictable situations before they enter the workforce. They need to exercise occupational skills, such as leadership skills, during higher education.…

A Scaffolding Framework to Support Learning of Emergent Phenomena Using Multi-Agent-Based Simulation Environments

ERIC Educational Resources Information Center

Basu, Satabdi; Sengupta, Pratim; Biswas, Gautam

2015-01-01

Students from middle school to college have difficulties in interpreting and understanding complex systems such as ecological phenomena. Researchers have suggested that students experience difficulties in reconciling the relationships between individuals, populations, and species, as well as the interactions between organisms and their environment…

Building a Shared Virtual Learning Culture: An International Classroom Partnership

ERIC Educational Resources Information Center

Starke-Meyerring, Doreen; Andrews, Deborah

2006-01-01

Business professionals increasingly use digital tools to collaborate across multiple cultures, locations, and time zones. Success in this complex environment depends on a shared culture that facilitates the making of knowledge and the best contributions of all team members. To prepare managers for such communication, the authors designed and…

Building Bridges across the Autism Spectrum

ERIC Educational Resources Information Center

Boroson, Barbara

2017-01-01

Among the many challenges that students with autism spectrum disorder bring into the learning environment, teachers report one particular difficulty: working with students' parents. As both an autism educator and parent of a child on the spectrum, Barbara Boroson explores some common complexities in parent-teacher relationships. She also offers…

Mindful Organizing as a Paradigm to Develop Managers

ERIC Educational Resources Information Center

Gebauer, Annette

2013-01-01

How can managers prepare for extreme but exceptional events and for the challenge of managing complexity and uncertainty in their daily business? Confronted with the challenge of achieving high and reliable performance in risk-prone, fast-paced, and unpredictable environments, managers and management scholars can learn a lot from the organizing…

Strategic Teaching: Student Learning through Working the Process

ERIC Educational Resources Information Center

Spanbroek, Nancy

2010-01-01

The designers of our future built environment must possess intellectual tools which will allow them to be disciplined, flexible and analytical thinkers, able to address and resolve new and complex problems. In response, an experimental and collaborative design studio was designed to inspire and build on students' knowledge and their creative…

Assessing Complexity. Group Composing for a Secondary School Qualifcation

ERIC Educational Resources Information Center

Thorpe, Vicki

2017-01-01

This article examines a unique music curriculum and assessment environment through the fndings of a practical action research project carried out in secondary schools. I address two current international educational issues: the relationship between formal and informal learning in music, and how individuals' contributions in collaborative groups…

Authentic Leadership, Social Cognitive Theory, and Character Education: The Transforming of Theories Into Practices

ERIC Educational Resources Information Center

Banks, Jerome; Mhunpiew, Nathara

2012-01-01

Character development must balance academic achievement. International school environments are diverse and multicultural settings, containing a learning-focused culture. This investigation constructs the sophisticated elements of authentic leadership and the complexities of the social cognitive theory as factors that produce a practical approach…

Developing a Postgraduate Work-Based Curriculum Using an Intervention Mapping Approach

ERIC Educational Resources Information Center

Stewart, Victoria; Campbell, Matthew; Wheeler, Amanda J.

2016-01-01

Advanced practitioner skill development has become an important focus in health service delivery as increasingly complex consumer needs, practice environments and national professional registration requirements impact on professional work practices. Increasingly, work-based or workplace learning experiences are being seen as an effective means for…

Tasks for Easily Modifiable Virtual Environments

ERIC Educational Resources Information Center

Swier, Robert

2014-01-01

Recent studies of learner interaction in virtual worlds have tended to select basic tasks involving open-ended communication. There is evidence that such tasks are supportive of language acquisition, however it may also be beneficial to consider more complex tasks. Research in task-based learning has identified features such as non-linguistic…

A case study of blended learning in a secondary biotechnology class

NASA Astrophysics Data System (ADS)

Coe, Jacqueline

An increase in the use of technology in high schools, coupled with the need to facilitate the development of 21st century skills in our students, give us opportunity and impetus to examine the use of blended learning. This study provides important insight into how blended learning translates into the secondary school environment. For the purpose of this study, blended learning is defined by Staker & Horn (2012) as a formal education program in which a student learns at least in part through online delivery of content and instruction with some element of student control over time, place, path, and/or pace and at least in part at a supervised brick-and-mortar location away from home. (p. 4) This descriptive single case study used qualitative analyses in an effort to answer the research questions, What are the experiences of secondary students when blended learning methods are introduced in a Biotechnology I class and how might these impact (a) the cognitive complexity of the course, (b) the level of choice students perceive they have, (c) the amount of time spent on working with the content, (d) student and teacher perceptions of blended learning, and (e) overall student achievement. Additionally, the impact of a learning-centered approach was explored. Data was gathered through teacher interviews, student interviews, classroom observations, student work, including formative and summative assignments, exit slips, surveys, and grades. Keywords: blended learning, cognitive complexity, learning-centered

Socio-Scientific Discussions as a Way to Improve the Comprehension of Science and the Understanding of the Interrelation between Species and the Environment

NASA Astrophysics Data System (ADS)

Castano, Carolina

2008-11-01

This article reports on a qualitative and quantitative study that explored whether a constructivist Science learning environment, in which 9 to 10-year old Colombian girls had the opportunity to discuss scientific concepts and socio-scientific dilemmas in groups, improved their understanding of the concepts and the complex relations that exists between species and the environment. Data were collected from two fourth grade groups in a private bilingual school, a treatment and a comparison group. Pre and post tests on the understanding of scientific concepts and the possible consequences of human action on living things, transcriptions of the discussions of dilemmas, and pre and post tests of empathy showed that students who had the opportunity to discuss socio-scientific dilemmas gave better definitions for scientific concepts and made better connections between them, their lives and Nature than students who did not. It is argued that Science learning should occur in constructivist learning environments and go beyond the construction of scientific concepts, to discussions and decision-making related to the social and moral implications of the application of Science in the real world. It is also argued that this type of pedagogical interventions and research on them should be carried out in different sociocultural contexts to confirm their impact on Science learning in diverse conditions.

Life in the Hive: Supporting Inquiry into Complexity Within the Zone of Proximal Development

NASA Astrophysics Data System (ADS)

Danish, Joshua A.; Peppler, Kylie; Phelps, David; Washington, Dianna

2011-10-01

Research into students' understanding of complex systems typically ignores young children because of misinterpretations of young children's competencies. Furthermore, studies that do recognize young children's competencies tend to focus on what children can do in isolation. As an alternative, we propose an approach to designing for young children that is grounded in the notion of the Zone of Proximal Development (Vygotsky 1978) and leverages Activity Theory to design learning environments. In order to highlight the benefits of this approach, we describe our process for using Activity Theory to inform the design of new software and curricula in a way that is productive for young children to learn concepts that we might have previously considered to be "developmentally inappropriate". As an illuminative example, we then present a discussion of the design of the BeeSign simulation software and accompanying curriculum which specifically designed from an Activity Theory perspective to engage young children in learning about complex systems (Danish 2009a, b). Furthermore, to illustrate the benefits of this approach, we will present findings from a new study where 40 first- and second-grade students participated in the BeeSign curriculum to learn about how honeybees collect nectar from a complex systems perspective. We conclude with some practical suggestions for how such an approach to using Activity Theory for research and design might be adopted by other science educators and designers.

Kanaka Maoli and Kamáāina Seascapes - Knowing Our Ocean Through Times of Change

NASA Astrophysics Data System (ADS)

Puniwai, N.

2017-12-01

In Hawaíi our oceans define us, we come from the ocean. Our oceans change, and we change with them, as we always have. By learning from people who are dependent on their environment, we learn how to observe and how to adapt. Through the lens of climate change, we interviewed respected ocean observers and surfers to learn about changes they have witnessed over time and the spatial scales and ocean conditions important to them. We looked at our ancient and historical texts to see what processes they recorded and the language they used to ascribe their observations, interactions and relationships to these places. Yet, we also integrate what our mechanical data sensors have recorded over recent time. By expanding our time scales of reference, knowledge sources, and collaborators, these methods teach us how our ancestors adapted and how climate change may impact our subsistence, recreation, and interactions with the environment. Managing complex seascapes requires the integration of multiple ways of knowing; strengthening our understanding of seascapes and their resiliency in this changing environment.

Fire detection system using random forest classification for image sequences of complex background

NASA Astrophysics Data System (ADS)

Kim, Onecue; Kang, Dong-Joong

2013-06-01

We present a fire alarm system based on image processing that detects fire accidents in various environments. To reduce false alarms that frequently appeared in earlier systems, we combined image features including color, motion, and blinking information. We specifically define the color conditions of fires in hue, saturation and value, and RGB color space. Fire features are represented as intensity variation, color mean and variance, motion, and image differences. Moreover, blinking fire features are modeled by using crossing patches. We propose an algorithm that classifies patches into fire or nonfire areas by using random forest supervised learning. We design an embedded surveillance device made with acrylonitrile butadiene styrene housing for stable fire detection in outdoor environments. The experimental results show that our algorithm works robustly in complex environments and is able to detect fires in real time.

Event detection and localization for small mobile robots using reservoir computing.

PubMed

Antonelo, E A; Schrauwen, B; Stroobandt, D

2008-08-01

Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability, where only a linear static readout output layer is trained by standard linear regression methods. In this work, RC is used for detecting complex events in autonomous robot navigation. This can be extended to robot localization tasks which are solely based on a few low-range, high-noise sensory data. The robot thus builds an implicit map of the environment (after learning) that is used for efficient localization by simply processing the input stream of distance sensors. These techniques are demonstrated in both a simple simulation environment and in the physically realistic Webots simulation of the commercially available e-puck robot, using several complex and even dynamic environments.

Postural complexity influences development in infants born preterm with brain injury: relating perception-action theory to 3 cases.

PubMed

Dusing, Stacey C; Izzo, Theresa; Thacker, Leroy R; Galloway, James Cole

2014-10-01

Perception-action theory suggests a cyclical relationship between movement and perceptual information. In this case series, changes in postural complexity were used to quantify an infant's action and perception during the development of early motor behaviors. Three infants born preterm with periventricular white matter injury were included. Longitudinal changes in postural complexity (approximate entropy of the center of pressure), head control, reaching, and global development, measured with the Test of Infant Motor Performance and the Bayley Scales of Infant and Toddler Development, were assessed every 0.5 to 3 months during the first year of life. All 3 infants demonstrated altered postural complexity and developmental delays. However, the timing of the altered postural complexity and the type of delays varied among the infants. For infant 1, reduced postural complexity or limited action while learning to control her head in the midline position may have contributed to her motor delay. However, her ability to adapt her postural complexity eventually may have supported her ability to learn from her environment, as reflected in her relative cognitive strength. For infant 2, limited early postural complexity may have negatively affected his learning through action, resulting in cognitive delay. For infant 3, an increase in postural complexity above typical levels was associated with declining neurological status. Postural complexity is proposed as a measure of perception and action in the postural control system during the development of early behaviors. An optimal, intermediate level of postural complexity supports the use of a variety of postural control strategies and enhances the perception-action cycle. Either excessive or reduced postural complexity may contribute to developmental delays in infants born preterm with white matter injury. © 2014 American Physical Therapy Association.

The Psychiatrist as Leader-Teacher: Promoting Learning Beyond Residency.

PubMed

Waits, Wendi; Brent, Elizabeth

2015-08-01

In today's fast-paced, data-saturated, zero-tolerance practice environment, psychiatrists and other health care providers are expected to maintain clinical, fiscal, and administrative competence. The authors present a unique type of psychiatric leader—the leader-teacher—who incorporates teaching of these elements into day-to-day practice, enhancing lifelong learning for credentialed staff and increasing their confidence in managing complex clinical and administrative issues. Particular emphasis is placed on leader-teachers working in military environments. The article discusses the primary characteristics of this type of leader, including their tendency to (1) seek clarification, (2) distill information, (3) communicate guidance, and (4) catalogue products. The authors also address the advantages and disadvantages of being a leader-teacher and present several illustrative cases.

Endoscopic skull base training using 3D printed models with pre-existing pathology.

PubMed

Narayanan, Vairavan; Narayanan, Prepageran; Rajagopalan, Raman; Karuppiah, Ravindran; Rahman, Zainal Ariff Abdul; Wormald, Peter-John; Van Hasselt, Charles Andrew; Waran, Vicknes

2015-03-01

Endoscopic base of skull surgery has been growing in acceptance in the recent past due to improvements in visualisation and micro instrumentation as well as the surgical maturing of early endoscopic skull base practitioners. Unfortunately, these demanding procedures have a steep learning curve. A physical simulation that is able to reproduce the complex anatomy of the anterior skull base provides very useful means of learning the necessary skills in a safe and effective environment. This paper aims to assess the ease of learning endoscopic skull base exposure and drilling techniques using an anatomically accurate physical model with a pre-existing pathology (i.e., basilar invagination) created from actual patient data. Five models of a patient with platy-basia and basilar invagination were created from the original MRI and CT imaging data of a patient. The models were used as part of a training workshop for ENT surgeons with varying degrees of experience in endoscopic base of skull surgery, from trainees to experienced consultants. The surgeons were given a list of key steps to achieve in exposing and drilling the skull base using the simulation model. They were then asked to list the level of difficulty of learning these steps using the model. The participants found the models suitable for learning registration, navigation and skull base drilling techniques. All participants also found the deep structures to be accurately represented spatially as confirmed by the navigation system. These models allow structured simulation to be conducted in a workshop environment where surgeons and trainees can practice to perform complex procedures in a controlled fashion under the supervision of experts.

The Representation of Motor (Inter)action, States of Action, and Learning: Three Perspectives on Motor Learning by Way of Imagery and Execution

PubMed Central

Frank, Cornelia; Schack, Thomas

2017-01-01

Learning in intelligent systems is a result of direct and indirect interaction with the environment. While humans can learn by way of different states of (inter)action such as the execution or the imagery of an action, their unique potential to induce brain- and mind-related changes in the motor action system is still being debated. The systematic repetition of different states of action (e.g., physical and/or mental practice) and their contribution to the learning of complex motor actions has traditionally been approached by way of performance improvements. More recently, approaches highlighting the role of action representation in the learning of complex motor actions have evolved and may provide additional insight into the learning process. In the present perspective paper, we build on brain-related findings and sketch recent research on learning by way of imagery and execution from a hierarchical, perceptual-cognitive approach to motor control and learning. These findings provide insights into the learning of intelligent systems from a perceptual-cognitive, representation-based perspective and as such add to our current understanding of action representation in memory and its changes with practice. Future research should build bridges between approaches in order to more thoroughly understand functional changes throughout the learning process and to facilitate motor learning, which may have particular importance for cognitive systems research in robotics, rehabilitation, and sports. PMID:28588510

The evolution of complex life.

PubMed

Billingham, J

1989-01-01

In considering the probabilities that intelligent life might exist elsewhere in the Universe, it is important to ask questions about the factors governing the emergence of complex living organisms in the context of evolutionary biology, planetary environments and events in space. Two important problems arise. First, what can be learned about the general laws governing the evolution of complex life anywhere in space by studying its history on the Earth? Second, how is the evolution of complex life affected by events in space? To address these problems, a series of Science Workshops on the Evolution of Complex Life was held at the Ames Research Center. Included in this paper are highlights of those workshops, with particular emphasis on the first question, namely the evolution of complex extraterrestrial life.

Unsupervised visual discrimination learning of complex stimuli: Accuracy, bias and generalization.

PubMed

Montefusco-Siegmund, Rodrigo; Toro, Mauricio; Maldonado, Pedro E; Aylwin, María de la L

2018-07-01

Through same-different judgements, we can discriminate an immense variety of stimuli and consequently, they are critical in our everyday interaction with the environment. The quality of the judgements depends on familiarity with stimuli. A way to improve the discrimination is through learning, but to this day, we lack direct evidence of how learning shapes the same-different judgments with complex stimuli. We studied unsupervised visual discrimination learning in 42 participants, as they performed same-different judgments with two types of unfamiliar complex stimuli in the absence of labeling or individuation. Across nine daily training sessions with equiprobable same and different stimuli pairs, participants increased the sensitivity and the criterion by reducing the errors with both same and different pairs. With practice, there was a superior performance for different pairs and a bias for different response. To evaluate the process underlying this bias, we manipulated the proportion of same and different pairs, which resulted in an additional proportion-induced bias, suggesting that the bias observed with equal proportions was a stimulus processing bias. Overall, these results suggest that unsupervised discrimination learning occurs through changes in the stimulus processing that increase the sensory evidence and/or the precision of the working memory. Finally, the acquired discrimination ability was fully transferred to novel exemplars of the practiced stimuli category, in agreement with the acquisition of a category specific perceptual expertise. Copyright © 2018 Elsevier Ltd. All rights reserved.

Necessary Contributions of Human Frontal Lobe Subregions to Reward Learning in a Dynamic, Multidimensional Environment.

PubMed

Vaidya, Avinash R; Fellows, Lesley K

2016-09-21

Real-world decisions are typically made between options that vary along multiple dimensions, requiring prioritization of the important dimensions to support optimal choice. Learning in this setting depends on attributing decision outcomes to the dimensions with predictive relevance rather than to dimensions that are irrelevant and nonpredictive. This attribution problem is computationally challenging, and likely requires an interplay between selective attention and reward learning. Both these processes have been separately linked to the prefrontal cortex, but little is known about how they combine to support learning the reward value of multidimensional stimuli. Here, we examined the necessary contributions of frontal lobe subregions in attributing feedback to relevant and irrelevant dimensions on a trial-by-trial basis in humans. Patients with focal frontal lobe damage completed a demanding reward learning task where options varied on three dimensions, only one of which predicted reward. Participants with left lateral frontal lobe damage attributed rewards to irrelevant dimensions, rather than the relevant dimension. Damage to the ventromedial frontal lobe also impaired learning about the relevant dimension, but did not increase reward attribution to irrelevant dimensions. The results argue for distinct roles for these two regions in learning the value of multidimensional decision options under dynamic conditions, with the lateral frontal lobe required for selecting the relevant dimension to associate with reward, and the ventromedial frontal lobe required to learn the reward association itself. The real world is complex and multidimensional; how do we attribute rewards to predictive features when surrounded by competing cues? Here, we tested the critical involvement of human frontal lobe subregions in a probabilistic, multidimensional learning environment, asking whether focal lesions affected trial-by-trial attribution of feedback to relevant and irrelevant dimensions. The left lateral frontal lobe was required for filtering option dimensions to allow appropriate feedback attribution, while the ventromedial frontal lobe was necessary for learning the value of features in the relevant dimension. These findings argue that selective attention and associative learning processes mediated by anatomically distinct frontal lobe subregions are both critical for adaptive choice in more complex, ecologically valid settings. Copyright © 2016 the authors 0270-6474/16/369843-16$15.00/0.

[The advantages of implementing an e-learning platform for laparoscopic liver surgery].

PubMed

Furcea, L; Graur, F; Scurtu, L; Plitea, N; Pîslă, D; Vaida, C; Deteşan, O; Szilaghy, A; Neagoş, H; Mureşan, A; Vlad, L

2011-01-01

The rapid expansion of laparoscopic surgery has led to the development of training methods for acquiring technical skills. The importance and complexity of laparoscopic liver surgery are arguments for developing a new integrated system of teaching, learning and evaluation, based on modern educational principles, on flexibility allowing wide accessibility among surgeons. This paper presents the development of e-learning platform designed for training in laparoscopic liver surgery and pre-planning of the operation in a virtual environment. E-learning platform makes it possible to simulate laparoscopic liver surgery remotely via internet connection. The addressability of this e-learning platform is large, being represented by young surgeons who are mainly preoccupied by laparoscopic liver surgery, as well as experienced surgeons interested in obtaining a competence in the hepatic minimally invasive surgery.

Experiential and authentic learning approaches in vaccine management.

PubMed

Kartoglu, Umit; Vesper, James; Teräs, Hanna; Reeves, Thomas

2017-04-19

A high level of concern is placed on the storage, handling, transportation, and distribution of vaccines and other pharmaceutical products, particularly those that are time and temperature sensitive. While active and passive cooling equipment and monitoring devices are important, it is the various personnel responsible for executing and writing procedures, designing and operating systems, and investigating problems and helping prevent them who are paramount in establishing and maintaining a "cold chain" for time and temperature sensitive pharmaceutical products (TTSPPs). These professionals must possess the required competencies, knowledge, skills and abilities so they can effectively perform these activities with appropriate levels of expertise. These are complex tasks that require the development of higher cognitive skills that cannot be adequately addressed through professional development opportunities based on simple information delivery and content acquisition. This paper describes two unique learning solutions (one on a bus called the "wheels course" and the other online called "e-learning") that have been developed by WHO Global Learning Opportunities (WHO/GLO) to provide participants with opportunities not just to learn about cold chain systems or vaccine management, but, rather, to develop high levels of expertise in their respective fields through experiential and authentic learning activities. In these interactive learning environments, participants have opportunities to address real-life situations in contexts similar to what they may face in their own work environments and develop solutions and critical thinking skills they can apply when they return to their jobs. This paper further delineates the managerial and operational vaccine management functions encompassed in these two unique learning environments. The paper also describes the alignment of the objectives addressed in the "wheels course" and the e-learning version with effective vaccine management (EVM) criteria as prescribed by WHO. The paper concludes with an example of a real world product developed by course graduates (specifically a decision tree that is now used by some national programmes). These types of products, valuable in their own right, often emerge when learning environments based on authentic learning principles are designed and implemented as they were by WHO/GLO. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

The Good, the Bad, and the Irrelevant: Neural Mechanisms of Learning Real and Hypothetical Rewards and Effort

PubMed Central

Kolling, Nils; Nelissen, Natalie; Wittmann, Marco K.; Harmer, Catherine J.; Rushworth, Matthew F. S.

2015-01-01

Natural environments are complex, and a single choice can lead to multiple outcomes. Agents should learn which outcomes are due to their choices and therefore relevant for future decisions and which are stochastic in ways common to all choices and therefore irrelevant for future decisions between options. We designed an experiment in which human participants learned the varying reward and effort magnitudes of two options and repeatedly chose between them. The reward associated with a choice was randomly real or hypothetical (i.e., participants only sometimes received the reward magnitude associated with the chosen option). The real/hypothetical nature of the reward on any one trial was, however, irrelevant for learning the longer-term values of the choices, and participants ought to have only focused on the informational content of the outcome and disregarded whether it was a real or hypothetical reward. However, we found that participants showed an irrational choice bias, preferring choices that had previously led, by chance, to a real reward in the last trial. Amygdala and ventromedial prefrontal activity was related to the way in which participants' choices were biased by real reward receipt. By contrast, activity in dorsal anterior cingulate cortex, frontal operculum/anterior insula, and especially lateral anterior prefrontal cortex was related to the degree to which participants resisted this bias and chose effectively in a manner guided by aspects of outcomes that had real and more sustained relationships with particular choices, suppressing irrelevant reward information for more optimal learning and decision making. SIGNIFICANCE STATEMENT In complex natural environments, a single choice can lead to multiple outcomes. Human agents should only learn from outcomes that are due to their choices, not from outcomes without such a relationship. We designed an experiment to measure learning about reward and effort magnitudes in an environment in which other features of the outcome were random and had no relationship with choice. We found that, although people could learn about reward magnitudes, they nevertheless were irrationally biased toward repeating certain choices as a function of the presence or absence of random reward features. Activity in different brain regions in the prefrontal cortex either reflected the bias or reflected resistance to the bias. PMID:26269633

Metacognitive components in smart learning environment

NASA Astrophysics Data System (ADS)

Sumadyo, M.; Santoso, H. B.; Sensuse, D. I.

2018-03-01

Metacognitive ability in digital-based learning process helps students in achieving learning goals. So that digital-based learning environment should make the metacognitive component as a facility that must be equipped. Smart Learning Environment is the concept of a learning environment that certainly has more advanced components than just a digital learning environment. This study examines the metacognitive component of the smart learning environment to support the learning process. A review of the metacognitive literature was conducted to examine the components involved in metacognitive learning strategies. Review is also conducted on the results of study smart learning environment, ranging from design to context in building smart learning. Metacognitive learning strategies certainly require the support of adaptable, responsive and personalize learning environments in accordance with the principles of smart learning. The current study proposed the role of metacognitive component in smart learning environment, which is useful as the basis of research in building environment in smart learning.

Toward cognitive robotics

NASA Astrophysics Data System (ADS)

Laird, John E.

2009-05-01

Our long-term goal is to develop autonomous robotic systems that have the cognitive abilities of humans, including communication, coordination, adapting to novel situations, and learning through experience. Our approach rests on the recent integration of the Soar cognitive architecture with both virtual and physical robotic systems. Soar has been used to develop a wide variety of knowledge-rich agents for complex virtual environments, including distributed training environments and interactive computer games. For development and testing in robotic virtual environments, Soar interfaces to a variety of robotic simulators and a simple mobile robot. We have recently made significant extensions to Soar that add new memories and new non-symbolic reasoning to Soar's original symbolic processing, which should significantly improve Soar abilities for control of robots. These extensions include episodic memory, semantic memory, reinforcement learning, and mental imagery. Episodic memory and semantic memory support the learning and recalling of prior events and situations as well as facts about the world. Reinforcement learning provides the ability of the system to tune its procedural knowledge - knowledge about how to do things. Mental imagery supports the use of diagrammatic and visual representations that are critical to support spatial reasoning. We speculate on the future of unmanned systems and the need for cognitive robotics to support dynamic instruction and taskability.

Experimental investigation of the effects of the acoustical conditions in a simulated classroom on speech recognition and learning in children a

PubMed Central

Valente, Daniel L.; Plevinsky, Hallie M.; Franco, John M.; Heinrichs-Graham, Elizabeth C.; Lewis, Dawna E.

2012-01-01

The potential effects of acoustical environment on speech understanding are especially important as children enter school where students’ ability to hear and understand complex verbal information is critical to learning. However, this ability is compromised because of widely varied and unfavorable classroom acoustics. The extent to which unfavorable classroom acoustics affect children’s performance on longer learning tasks is largely unknown as most research has focused on testing children using words, syllables, or sentences as stimuli. In the current study, a simulated classroom environment was used to measure comprehension performance of two classroom learning activities: a discussion and lecture. Comprehension performance was measured for groups of elementary-aged students in one of four environments with varied reverberation times and background noise levels. The reverberation time was either 0.6 or 1.5 s, and the signal-to-noise level was either +10 or +7 dB. Performance is compared to adult subjects as well as to sentence-recognition in the same condition. Significant differences were seen in comprehension scores as a function of age and condition; both increasing background noise and reverberation degraded performance in comprehension tasks compared to minimal differences in measures of sentence-recognition. PMID:22280587

Developing graduate student competency in providing culturally sensitive end of life care in critical care environments - a pilot study of a teaching innovation.

PubMed

Northam, Holly L; Hercelinskyj, Gylo; Grealish, Laurie; Mak, Anita S

2015-11-01

Australia's immigration policy has generated a rich diverse cultural community of staff and patients in critical care environments. Many different cultural perspectives inform individual actions in the context of critical care, including the highly sensitive area of end of life care, with nurses feeling poorly prepared to provide culturally sensitive end of life care. This article describes and evaluates the effectiveness of an educational innovation designed to develop graduate-level critical care nurses' capacity for effective interpersonal communication, as members of a multi-disciplinary team in providing culturally sensitive end-of-life care. A mixed method pilot study was conducted using a curriculum innovation intervention informed by The Excellence in Cultural Experiential Learning and Leadership Program (EXCELL),(1) which is a higher education intervention which was applied to develop the nurses' intercultural communication skills. 12 graduate nursing students studying critical care nursing participated in the study. 42% (n=5) of the participants were from an international background. Information about students' cultural learning was recorded before and after the intervention, using a cultural learning development scale. Student discussions of end of life care were recorded at Week 2 and 14 of the curriculum. The quantitative data was analysed using descriptive statistical analysis and qualitative data was thematically analysed. Students demonstrated an increase in cultural learning in a range of areas in the pre-post surveys including understandings of cultural diversity, interpersonal skills, cross cultural interactions and participating in multicultural groups. Thematic analysis of the end of life discussions revealed an increase in the levels of nurse confidence in approaching end of life care in critical care environments. The EXCELL program provides an effective and supportive educational framework to increase graduate nurses' cultural learning development and competence to manage culturally complex clinical issues such as end of life care, and is recommended as a framework for health care students to learn the skills required to provide culturally competent care in a range of culturally complex health care settings. Copyright © 2015 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved.

Design Thinking: A Fresh Approach for Transformative Assessment Practice

ERIC Educational Resources Information Center

Benson, Joy; Dresdow, Sally

2014-01-01

Management and professional business education is central to developing human talent that can help organizations be competitive in today's complex business environment. So the question for management educators is how do we know that graduates have the talent that business needs? Learning outcome assessment has been the process used by…

Earth Day 2018 Activities

NASA Image and Video Library

2018-04-17

During the annual Earth Day celebration at the Kennedy Space Center Visitor Complex, guests have an opportunity to learn more about energy awareness, the environment and sustainability. The two-day event featured approximately 50 exhibitors offering information on a variety of topics, including electric vehicles, sustainable lighting, renewable energy, Florida-friendly landscaping tips, Florida’s biking trails and more.

Earth Day 2018 Activities

NASA Image and Video Library

2018-04-17

During the annual Earth Day celebration at the Kennedy Space Center Visitor Complex, guests have an opportunity to learn about the environment and meet Butterfly Dan” Dunwoody. The two-day event featured approximately 50 exhibitors offering information on a variety of topics, including electric vehicles, sustainable lighting, renewable energy, Florida-friendly landscaping tips, Florida’s biking trails and more.

Keys to Success: School Facilities Primer, Questions & Answers 101.

ERIC Educational Resources Information Center

Brady, Jim

This publication provides answers to basic questions to help school board members more fully address the complexities of the planning, design, and construction process in order to maximize the goal of student success. The 101 questions and answers are in the areas of: facility planning; learning environment; information technology; safe schools;…

Teaching the Public Relations Case Studies/Campaigns Class.

ERIC Educational Resources Information Center

Cottone, Laura Perkins

The public relations case studies/campaigns class entails teaching students how to die and then come back to life. As students must learn to take a critical look at complex public and social issues, teachers should create an environment in which the students feel comfortable with the process of psychological reconstruction. Students must be taught…

Environmental Education Activity Guide: Pre K-8.

ERIC Educational Resources Information Center

Iozzi, Lou; Halsey, Brent, Jr.

Project Learning Tree uses the forest as a window on the world to increase students' understanding of the complex environment in the United States; to stimulate critical and creative thinking; to develop the ability to make informed decisions on environmental issues; and to instill the confidence and commitment to take responsible action on behalf…

Living and Learning at the Intersection: Student Homelessness and Complex Policy Environments

ERIC Educational Resources Information Center

Pavlakis, Alexandra E.

2014-01-01

In urban districts, homeless and highly mobile students are an important contributor to achievement disparities-and their numbers are rising. To date there has been little inquiry into how broader education and housing policies shape the schooling experiences of homeless and highly mobile families. Using semi-structured interviews with 132 key…

Exploring Photosynthesis and Plant Stress Using Inexpensive Chlorophyll Fluorometers

ERIC Educational Resources Information Center

Cessna, Stephen; Demmig-Adams, Barbara; Adams, William W., III

2010-01-01

Mastering the concept of photosynthesis is of critical importance to learning plant physiology and its applications, but seems to be one of the more challenging concepts in biology. This teaching challenge is no doubt compounded by the complexity by which plants alter photosynthesis in different environments. Here we suggest the use of chlorophyll…

Going in Cycles: Courseware and Material Development for Written Communication

ERIC Educational Resources Information Center

Schulze, Mathias; Liebscher, Grit

2010-01-01

The development of both the materials for an intermediate-level hybrid German writing course and the software in a virtual learning environment for the course may be viewed as activity systems. Viewing the individual components of each system as interrelated enables us to conceptualize the complexities of the development process, which goes well…

The Creation and Support of Dialogic Discourse in a Language Arts Classroom

ERIC Educational Resources Information Center

Sosa, Teresa; Sullivan, Mary Pat

2013-01-01

This exploratory study examined the complexity and interrelatedness of dialogic discourse, disciplinary literacy, and the social environment necessary for student learning. Taking place in an urban school in a large Midwestern city, analysis of three 8th grade language arts lessons indicated that dialogic discussion was sustained and supported by…

Multi-Level Adaptation in End-User Development of 3D Virtual Chemistry Experiments

ERIC Educational Resources Information Center

Liu, Chang; Zhong, Ying

2014-01-01

Multi-level adaptation in end-user development (EUD) is an effective way to enable non-technical end users such as educators to gradually introduce more functionality with increasing complexity to 3D virtual learning environments developed by themselves using EUD approaches. Parameterization, integration, and extension are three levels of…

Competence by Simulation: The Expert Nurse Continuing Education Experience Utilizing Simulation

ERIC Educational Resources Information Center

Underwood, Douglas W.

2013-01-01

Registered nurses practice in an environment that involves complex healthcare issues requiring continuous learning and evaluation of cognitive and technical skills to ensure safe and quality patient care. The purpose of this basic qualitative study was to gain a better understanding of the continuing educational needs of the expert nurse. This…

Quality in Work-Based Studies Not Lost, Merely Undiscovered

ERIC Educational Resources Information Center

Gibbs, Paul

2009-01-01

The argument made in this paper is that good quality is subsumed into the practices of skillful participants and that institutions should act upon their consciences. This is particularly important in the complex blending of the workplace and the academy, where codified quality may disrupt learning rather than support a flourishing environment for…

Visual NNet: An Educational ANN's Simulation Environment Reusing Matlab Neural Networks Toolbox

ERIC Educational Resources Information Center

Garcia-Roselló, Emilio; González-Dacosta, Jacinto; Lado, Maria J.; Méndez, Arturo J.; Garcia Pérez-Schofield, Baltasar; Ferrer, Fátima

2011-01-01

Artificial Neural Networks (ANN's) are nowadays a common subject in different curricula of graduate and postgraduate studies. Due to the complex algorithms involved and the dynamic nature of ANN's, simulation software has been commonly used to teach this subject. This software has usually been developed specifically for learning purposes, because…

Small-School Reform through the Lens of Complexity Theory: It's "Good to Think with"

ERIC Educational Resources Information Center

McQuillan, Patrick J.

2008-01-01

Background/Context: In light of the consistent underperformance of the comprehensive high school, districts across the country, mostly urban, have begun creating small schools, believing that they may offer a more personalized, supportive, and demanding learning environment. To explore this assumption, this article examines small-school reform…

Teaching Is Our Calling: Do Something Worthwhile!

ERIC Educational Resources Information Center

Shedd, Peter J.

2012-01-01

In this article, the author shares his thoughts about teaching. He says in every class teachers enter, during every conversation they have, through everything they do, they should strive to create the environment that allows learning to occur. How they decide what is "worthwhile" is too complex for a simple prescription. Teachers must exercise…

Active Learning through Appellate Simulation: A Simple Recipe for a Business Law Course

ERIC Educational Resources Information Center

McDevitt, William J.

2009-01-01

Business law professors have long recognized the pedagogical value of using simulations in the classroom. In-class simulations can serve to develop the all-important critical thinking skills that educated people are expected to possess in today's complex legal environment. Moot court exercises, also known as appellate argumentation or appellate…

Lost (and Found) in Translation: Learning from German Language Educators

ERIC Educational Resources Information Center

Doecke, Brenton

2016-01-01

This essay introduces two presentations (or "Vorträge") by Ulf Abraham and Thomas Zabka that were originally published in the German journal, "Didaktik Deutsch." I reflect on the complexities of translation and intercultural communication, and ask how we might meaningfully compare the policy environment of one country with that…

Learner-Controlled Practice Difficulty in the Training of a Complex Task: Cognitive and Motivational Mechanisms

ERIC Educational Resources Information Center

Hughes, Michael G.; Day, Eric Anthony; Wang, Xiaoqian; Schuelke, Matthew J.; Arsenault, Matthew L.; Harkrider, Lauren N.; Cooper, Olivia D.

2013-01-01

An inherent aspect of learner-controlled instructional environments is the ability of learners to affect the degree of difficulty faced during training. However, research has yet to examine how learner-controlled practice difficulty affects learning. Based on the notion of "desirable difficulties" (Bjork, 1994), this study examined the…

Orbiter lessons learned: A guide to future vehicle development

NASA Technical Reports Server (NTRS)

Greenberg, Harry Stan

1993-01-01

Topics addressed are: (1) wind persistence loads methodology; (2) emphasize supportability in design of reusable vehicles; (3) design for robustness; (4) improved aerodynamic environment prediction methods for complex vehicles; (5) automated integration of aerothermal, manufacturing, and structures analysis; (6) continued electronic documentation of structural design and analysis; and (7) landing gear rollout load simulations.

Individual Differences: Interplay of Learner Characteristics and Learning Environment

ERIC Educational Resources Information Center

Dornyei, Zoltan

2009-01-01

The notion of language as a complex adaptive system has been conceived within an agent-based framework, which highlights the significance of individual-level variation in the characteristics and contextual circumstances of the learner/speaker. Yet, in spite of this emphasis, currently we know relatively little about the interplay among language,…

Toward Group Problem Solving Guidelines for 21st Century Teams

ERIC Educational Resources Information Center

Ranieri, Kathryn L.

2004-01-01

Effective problem-solving skills are critical in dealing with ambiguous and often complex issues in the present-day leaner and globally diverse organizations. Yet respected, well-established problem-solving models may be misaligned within the current work environment, particularly within a team context. Models learned from a more bureaucratic,…

Leadership and Storytelling: Promoting a Culture of Learning, Positive Change, and Community

ERIC Educational Resources Information Center

Aidman, Barry; Long, Tanya Alyson

2017-01-01

Educational leaders work in increasingly complex, high pressure environments with people who have diverse backgrounds, interests, and goals. To be effective, these leaders must understand the dynamic process of creating and managing culture and change. Stories have the potential to influence culture and to help people connect, develop genuine…

Acquisition of a Static Human Target in Complex Terrain: Study of Perceptual Learning Utilizing Virtual Environments

DTIC Science & Technology

2008-09-01

be definitively named as a cement truck, a shoe, an old style dual bell alarm clock, a cartoonish alligator, and what appears to be a raccoon rear...impinging stimulus. Internalized detectors develop…and increase the speed, accuracy, and general fluency with which the stimuli are processed

Integrating Computer- and Teacher-Based Scaffolds in Science Inquiry

ERIC Educational Resources Information Center

Wu, Hui-Ling; Pedersen, Susan

2011-01-01

Because scaffolding is a crucial form of support for students engaging in complex learning environments, it is important that researchers determine which of the numerous kinds of scaffolding will allow them to educate students most effectively. The existing literature tends to focus on computer-based scaffolding by itself rather than integrating…

Environmental Context of Learning: Introduction to the Special Topic

ERIC Educational Resources Information Center

Burns, Matthew K.

2015-01-01

Understanding individual students is a complex process. Bronfenbrenner's (1986) seminal Ecological Systems Theory (EST) provides a framework for understanding students by examining the environments in which the child lives including the home, school, community, culture, and so on. One of the main tenets of EST is that it provides a process for…

Addressing the Complexities of Evaluating Interdisciplinary Multimedia Learning Environments.

ERIC Educational Resources Information Center

McGee, Steven; Howard, Bruce C.; Dimitrov, Dimiter M.; Hong, Namsoo S.; Shia, Regina

This study was a summative evaluation of Astronomy Village[R]: Investigating the Solar System[TM]. Funded by the National Science Foundation, Astronomy Village is designed to teach students fundamental concepts in life, earth, and physical science by having them investigate cutting-edge questions related to the solar system. In Astronomy Village…

Assisting Women in Developing a Sense of Competence in Outdoor Programs.

ERIC Educational Resources Information Center

Loeffler, T. A.

1997-01-01

Development of competence for women in outdoor programs is a complex process shaped by gender-role socialization, learning environments, and individual differences. Sense of competence is a fundamental component of self-esteem and may not be congruent with actual competence. Personal narrative of a solo experience illustrates its impact on sense…

Violent Video Games as Exemplary Teachers: A Conceptual Analysis

ERIC Educational Resources Information Center

Gentile, Douglas A.; Gentile, J. Ronald

2008-01-01

This article presents conceptual and empirical analyses of several of the "best practices" of learning and instruction, and demonstrates how violent video games use them effectively to motivate learners to persevere in acquiring and mastering a number of skills, to navigate through complex problems and changing environments, and to experiment with…

To Use or Not to Use--ERP Resistance Is the Question: The Roles of Tacit Knowledge and Complexity

ERIC Educational Resources Information Center

Freeze, Ronald D.; Schmidt, Pamela J.

2015-01-01

Enterprise Resource Planning (ERP) systems in business environments demand multidisciplinary understanding and collaboration between functional departments. The traditional educational paradigm isolates the learning of each functional discipline as if business people operated in functional isolation. ERP system value can only be realized by…

Optimists' Creed: Brave New Cyberlearning, Evolving Utopias (Circa 2041)

ERIC Educational Resources Information Center

Burleson, Winslow; Lewis, Armanda

2016-01-01

This essay imagines the role that artificial intelligence innovations play in the integrated living, learning and research environments of 2041. Here, in 2041, in the context of increasingly complex wicked challenges, whose solutions by their very nature continue to evade even the most capable experts, society and technology have co-evolved to…

The role of work-related learning in the identity transformation of Canadian workers with low literacy skills

NASA Astrophysics Data System (ADS)

Taylor, Maurice C.; Trumpower, David L.; Purse, Edward R.

2015-12-01

Workplaces are settings where power, knowledge and self are brought together in a complex social environment which includes various forms of struggle related to identity, agency, socio-cultural norms, political structures and functional practices. The purpose of this article is to uncover how formal and informal work-related learning processes influence the identity transformation of workers with low literacy and essential skills. Drawing on two recent Canadian data bases which serve as cases in this study, the position taken by the authors is that the organisational context can both facilitate and impede worker subjectivity. Various conditions, approaches to learning and training pathways are examined as they contribute to social cognitive and transformative learning theories.

Efficiency of goal-oriented communicating agents in different graph topologies: A study with Internet crawlers

NASA Astrophysics Data System (ADS)

Lőrincz, András; Lázár, Katalin A.; Palotai, Zsolt

2007-05-01

To what extent does the communication make a goal-oriented community efficient in different topologies? In order to gain insight into this problem, we study the influence of learning method as well as that of the topology of the environment on the communication efficiency of crawlers in quest of novel information in different topics on the Internet. Individual crawlers employ selective learning, function approximation-based reinforcement learning (RL), and their combination. Selective learning, in effect, modifies the starting URL lists of the crawlers, whilst RL alters the URL orderings. Real data have been collected from the web and scale-free worlds, scale-free small world (SFSW), and random world environments (RWEs) have been created by link reorganization. In our previous experiments [ Zs. Palotai, Cs. Farkas, A. Lőrincz, Is selection optimal in scale-free small worlds?, ComPlexUs 3 (2006) 158-168], the crawlers searched for novel, genuine documents and direct communication was not possible. Herein, our finding is reproduced: selective learning performs the best and RL the worst in SFSW, whereas the combined, i.e., selective learning coupled with RL is the best-by a slight margin-in scale-free worlds. This effect is demonstrated to be more pronounced when the crawlers search for different topic-specific documents: the relative performance of the combined learning algorithm improves in all worlds, i.e., in SFSW, in SFW, and in RWE. If the tasks are more complex and the work sharing is enforced by the environment then the combined learning algorithm becomes at least equal, even superior to both the selective and the RL algorithms in most cases, irrespective of the efficiency of communication. Furthermore, communication improves the performance by a large margin and adaptive communication is advantageous in the majority of the cases.

Connected Worlds: Connecting the public with complex environmental systems

NASA Astrophysics Data System (ADS)

Uzzo, S. M.; Chen, R. S.; Downs, R. R.

2016-12-01

Among the most important concepts in environmental science learning is the structure and dynamics of coupled human and natural systems (CHANS). But the fundamental epistemology for understanding CHANS requires systems thinking, interdisciplinarity, and complexity. Although the Next Generation Science Standards mandate connecting ideas across disciplines and systems, traditional approaches to education do not provide more than superficial understanding of this concept. Informal science learning institutions have a key role in bridging gaps between the reductive nature of classroom learning and contemporary data-driven science. The New York Hall of Science, in partnership with Design I/O and Columbia University's Center for International Earth Science Information Network, has developed an approach to immerse visitors in complex human nature interactions and provide opportunities for those of all ages to elicit and notice environmental consequences of their actions. Connected Worlds is a nearly 1,000 m2 immersive, playful environment in which students learn about complexity and interconnectedness in ecosystems and how ecosystems might respond to human intervention. It engages students through direct interactions with fanciful flora and fauna within and among six biomes: desert, rainforest, grassland, mountain valley, reservoir, and wetlands, which are interconnected through stocks and flows of water. Through gestures and the manipulation of a dynamic water system, Connected Worlds enables students, teachers, and parents to experience how the ecosystems of planet Earth are connected and to observe relationships between the behavior of Earth's inhabitants and our shared world. It is also a cyberlearning platform to study how visitors notice and scaffold their understanding of complex environmental processes and the responses of these processes to human intervention, to help inform the improvement of education practices in complex environmental science.

The direction of cloud computing for Malaysian education sector in 21st century

NASA Astrophysics Data System (ADS)

Jaafar, Jazurainifariza; Rahman, M. Nordin A.; Kadir, M. Fadzil A.; Shamsudin, Syadiah Nor; Saany, Syarilla Iryani A.

2017-08-01

In 21st century, technology has turned learning environment into a new way of education to make learning systems more effective and systematic. Nowadays, education institutions are faced many challenges to ensure the teaching and learning process is running smoothly and manageable. Some of challenges in the current education management are lack of integrated systems, high cost of maintenance, difficulty of configuration and deployment as well as complexity of storage provision. Digital learning is an instructional practice that use technology to make learning experience more effective, provides education process more systematic and attractive. Digital learning can be considered as one of the prominent application that implemented under cloud computing environment. Cloud computing is a type of network resources that provides on-demands services where the users can access applications inside it at any location and no time border. It also promises for minimizing the cost of maintenance and provides a flexible of data storage capacity. The aim of this article is to review the definition and types of cloud computing for improving digital learning management as required in the 21st century education. The analysis of digital learning context focused on primary school in Malaysia. Types of cloud applications and services in education sector are also discussed in the article. Finally, gap analysis and direction of cloud computing in education sector for facing the 21st century challenges are suggested.

Aspects of Plant Intelligence

PubMed Central

TREWAVAS, ANTHONY

2003-01-01

Intelligence is not a term commonly used when plants are discussed. However, I believe that this is an omission based not on a true assessment of the ability of plants to compute complex aspects of their environment, but solely a reflection of a sessile lifestyle. This article, which is admittedly controversial, attempts to raise many issues that surround this area. To commence use of the term intelligence with regard to plant behaviour will lead to a better understanding of the complexity of plant signal transduction and the discrimination and sensitivity with which plants construct images of their environment, and raises critical questions concerning how plants compute responses at the whole‐plant level. Approaches to investigating learning and memory in plants will also be considered. PMID:12740212

Implementing Peer Learning in Clinical Education: A Framework to Address Challenges In the "Real World".

PubMed

Tai, Joanna Hong Meng; Canny, Benedict J; Haines, Terry P; Molloy, Elizabeth K

2017-01-01

Phenomenon: Peer learning has many benefits and can assist students in gaining the educational skills required in future years when they become teachers themselves. Peer learning may be particularly useful in clinical learning environments, where students report feeling marginalized, overwhelmed, and unsupported. Educational interventions often fail in the workplace environment, as they are often conceived in the "ideal" rather than the complex, messy real world. This work sought to explore barriers and facilitators to implementing peer learning activities in a clinical curriculum. Previous peer learning research results and a matrix of empirically derived peer learning activities were presented to local clinical education experts to generate discussion around the realities of implementing such activities. Potential barriers and limitations of and strategies for implementing peer learning in clinical education were the focus of the individual interviews. Thematic analysis of the data identified three key considerations for real-world implementation of peer learning: culture, epistemic authority, and the primacy of patient-centered care. Strategies for peer learning implementation were also developed from themes within the data, focusing on developing a culture of safety in which peer learning could be undertaken, engaging both educators and students, and establishing expectations for the use of peer learning. Insights: This study identified considerations and strategies for the implementation of peer learning activities, which took into account both educator and student roles. Reported challenges were reflective of those identified within the literature. The resultant framework may aid others in anticipating implementation challenges. Further work is required to test the framework's application in other contexts and its effect on learner outcomes.

Education Research in Physical Therapy: Visions of the Possible.

PubMed

Jensen, Gail M; Nordstrom, Terrence; Segal, Richard L; McCallum, Christine; Graham, Cecilia; Greenfield, Bruce

2016-12-01

Education research has been labeled the "hardest science" of all, given the challenges of teaching and learning in an environment encompassing a mixture of social interactions, events, and problems coupled with a persistent belief that education depends more on common sense than on disciplined knowledge and skill. The American Educational Research Association specifies that education research-as a scientific field of study-examines teaching and learning processes that shape educational outcomes across settings and that a learning process takes place throughout a person's life. The complexity of learning and learning environments requires not only a diverse array of research methods but also a community of education researchers committed to exploring critical questions in the education of physical therapists. Although basic science research and clinical research in physical therapy have continued to expand through growth in the numbers of funded physical therapist researchers, the profession still lacks a robust and vibrant community of education researchers. In this perspective article, the American Council of Academic Physical Therapy Task Force on Education Research proposes a compelling rationale for building a much-needed foundation for education research in physical therapy, including a set of recommendations for immediate action. © 2016 American Physical Therapy Association.

CaseWorld™: Interactive, media rich, multidisciplinary case based learning.

PubMed

Gillham, David; Tucker, Katie; Parker, Steve; Wright, Victoria; Kargillis, Christina

2015-11-01

Nurse educators are challenged to keep up with highly specialised clinical practice, emerging research evidence, regulation requirements and rapidly changing information technology while teaching very large numbers of diverse students in a resource constrained environment. This complex setting provides the context for the CaseWorld project, which aims to simulate those aspects of clinical practice that can be represented by e-learning. This paper describes the development, implementation and evaluation of CaseWorld, a simulated learning environment that supports case based learning. CaseWorld provides nursing students with the opportunity to view unfolding authentic cases presented in a rich multimedia context. The first round of comprehensive summative evaluation of CaseWorld is discussed in the context of earlier formative evaluation, reference group input and strategies for integration of CaseWorld with subject content. This discussion highlights the unique approach taken in this project that involved simultaneous prototype development and large scale implementation, thereby necessitating strong emphasis on staff development, uptake and engagement. The lessons learned provide an interesting basis for further discussion of broad content sharing across disciplines and universities, and the contribution that local innovations can make to global education advancement. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

Controlling uncertainty: a review of human behavior in complex dynamic environments.

PubMed

Osman, Magda

2010-01-01

Complex dynamic control (CDC) tasks are a type of problem-solving environment used for examining many cognitive activities (e.g., attention, control, decision making, hypothesis testing, implicit learning, memory, monitoring, planning, and problem solving). Because of their popularity, there have been many findings from diverse domains of research (economics, engineering, ergonomics, human-computer interaction, management, psychology), but they remain largely disconnected from each other. The objective of this article is to review theoretical developments and empirical work on CDC tasks, and to introduce a novel framework (monitoring and control framework) as a tool for integrating theory and findings. The main thesis of the monitoring and control framework is that CDC tasks are characteristically uncertain environments, and subjective judgments of uncertainty guide the way in which monitoring and control behaviors attempt to reduce it. The article concludes by discussing new insights into continuing debates and future directions for research on CDC tasks.

A Study of the Use of Ontologies for Building Computer-Aided Control Engineering Self-Learning Educational Software

NASA Astrophysics Data System (ADS)

García, Isaías; Benavides, Carmen; Alaiz, Héctor; Alonso, Angel

2013-08-01

This paper describes research on the use of knowledge models (ontologies) for building computer-aided educational software in the field of control engineering. Ontologies are able to represent in the computer a very rich conceptual model of a given domain. This model can be used later for a number of purposes in different software applications. In this study, domain ontology about the field of lead-lag compensator design has been built and used for automatic exercise generation, graphical user interface population and interaction with the user at any level of detail, including explanations about why things occur. An application called Onto-CELE (ontology-based control engineering learning environment) uses the ontology for implementing a learning environment that can be used for self and lifelong learning purposes. The experience has shown that the use of knowledge models as the basis for educational software applications is capable of showing students the whole complexity of the analysis and design processes at any level of detail. A practical experience with postgraduate students has shown the mentioned benefits and possibilities of the approach.

Systematic approaches to comprehensive analyses of natural organic matter

USGS Publications Warehouse

Leenheer, Jerry A.

2009-01-01

The more that is learned of the chemistry of aquatic natural organic matter (NOM) the greater is the scientific appreciation of the vast complexity of this subject. This complexity is due not only to a multiplicity of precursor molecules in any environment but to their associations with each other and with other components of local environments such as clays, mineral acids and dissolved metals. In addition, this complex system is subject to constant change owing to environmental variables and microbial action. Thus, there is a good argument that no two NOM samples are exactly the same even from the same source at nearly the same time. When ubiquity of occurrence, reaction with water treatment chemicals, and subsequent human exposure are added to the list of NOM issues, one can understand the appeal that this subject holds for a wide variety of environmental scientists.

Implementing a self-structuring data learning algorithm

NASA Astrophysics Data System (ADS)

Graham, James; Carson, Daniel; Ternovskiy, Igor

2016-05-01

In this paper, we elaborate on what we did to implement our self-structuring data learning algorithm. To recap, we are working to develop a data learning algorithm that will eventually be capable of goal driven pattern learning and extrapolation of more complex patterns from less complex ones. At this point we have developed a conceptual framework for the algorithm, but have yet to discuss our actual implementation and the consideration and shortcuts we needed to take to create said implementation. We will elaborate on our initial setup of the algorithm and the scenarios we used to test our early stage algorithm. While we want this to be a general algorithm, it is necessary to start with a simple scenario or two to provide a viable development and testing environment. To that end, our discussion will be geared toward what we include in our initial implementation and why, as well as what concerns we may have. In the future, we expect to be able to apply our algorithm to a more general approach, but to do so within a reasonable time, we needed to pick a place to start.

Why copy others? Insights from the social learning strategies tournament.

PubMed

Rendell, L; Boyd, R; Cownden, D; Enquist, M; Eriksson, K; Feldman, M W; Fogarty, L; Ghirlanda, S; Lillicrap, T; Laland, K N

2010-04-09

Social learning (learning through observation or interaction with other individuals) is widespread in nature and is central to the remarkable success of humanity, yet it remains unclear why copying is profitable and how to copy most effectively. To address these questions, we organized a computer tournament in which entrants submitted strategies specifying how to use social learning and its asocial alternative (for example, trial-and-error learning) to acquire adaptive behavior in a complex environment. Most current theory predicts the emergence of mixed strategies that rely on some combination of the two types of learning. In the tournament, however, strategies that relied heavily on social learning were found to be remarkably successful, even when asocial information was no more costly than social information. Social learning proved advantageous because individuals frequently demonstrated the highest-payoff behavior in their repertoire, inadvertently filtering information for copiers. The winning strategy (discountmachine) relied nearly exclusively on social learning and weighted information according to the time since acquisition.

Prioritising the relevant information for learning and decision making within orbital and ventromedial prefrontal cortex.

PubMed

Walton, Mark E; Chau, Bolton K H; Kennerley, Steven W

2015-02-01

Our environment and internal states are frequently complex, ambiguous and dynamic, meaning we need to have selection mechanisms to ensure we are basing our decisions on currently relevant information. Here, we review evidence that orbitofrontal (OFC) and ventromedial prefrontal cortex (VMPFC) play conserved, critical but distinct roles in this process. While OFC may use specific sensory associations to enhance task-relevant information, particularly in the context of learning, VMPFC plays a role in ensuring irrelevant information does not impinge on the decision in hand.

Remote Systems Design & Deployment

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bailey, Sharon A.; Baker, Carl P.; Valdez, Patrick LJ

2009-08-28

The Pacific Northwest National Laboratory (PNNL) was tasked by Washington River Protection Solutions, LLC (WRPS) to provide information and lessons learned relating to the design, development and deployment of remote systems, particularly remote arm/manipulator systems. This report reflects PNNL’s experience with remote systems and lays out the most important activities that need to be completed to successfully design, build, deploy and operate remote systems in radioactive and chemically contaminated environments. It also contains lessons learned from PNNL’s work experiences, and the work of others in the national laboratory complex.

Supporting Scientific Experimentation and Reasoning in Young Elementary School Students

NASA Astrophysics Data System (ADS)

Varma, Keisha

2014-06-01

Researchers from multiple perspectives have shown that young students can engage in the scientific reasoning involved in science experimentation. However, there is little research on how well these young students learn in inquiry-based learning environments that focus on using scientific experimentation strategies to learn new scientific information. This work investigates young children's science concept learning via inquiry-based instruction on the thermodynamics system in a developmentally appropriate, technology-supported learning environment. First- and third-grade students participate in three sets of guided experimentation activities that involve using handheld computers to measure change in temperature given different types of insulation materials. Findings from pre- and post-comparisons show that students at both grade levels are able to learn about the thermodynamics system through engaging in the guided experiment activities. The instruction groups outperformed the control groups on multiple measures of thermodynamics knowledge, and the older children outperform the younger children. Knowledge gains are discussed in the context of mental models of the thermodynamics system that include the individual concepts mentioned above and the relationships between them. This work suggests that young students can benefit from science instruction centered on experimentation activities. It shows the benefits of presenting complex scientific information authentic contexts and the importance of providing the necessary scaffolding for meaningful scientific inquiry and experimentation.

Twelve tips for utilizing principles of learning to support medical education.

PubMed

Cutting, Maris F; Saks, Norma Susswein

2012-01-01

Research in the cognitive sciences on learning and memory conducted across a range of domains, settings, and age groups has resulted in the identification and formulation of a set of generic learning principles. These learning principles have proven relevant and applicable to a wide range of learning situations in a variety of settings, and can be useful in supporting medical education. They can provide guidance to medical students for efficient and effective study, and can be helpful to faculty to support instructional planning and decisions relating to curriculum. This article discusses evidence-based principles of learning and their relationship to effective learning, teaching, pedagogy and curriculum development. We reviewed important principles of learning to determine those most relevant to improving medical student learning, guiding faculty toward more effective teaching, and in designing a curriculum. Our analysis has resulted in the articulation of key learning principles and specific strategies that are broadly applicable to medical school learning, teaching, and instructional planning. The twelve tips highlight principles of learning that can be effectively applied in the complex learning environment of medical education.

Biomimetic molecular design tools that learn, evolve, and adapt.

PubMed

Winkler, David A

2017-01-01

A dominant hallmark of living systems is their ability to adapt to changes in the environment by learning and evolving. Nature does this so superbly that intensive research efforts are now attempting to mimic biological processes. Initially this biomimicry involved developing synthetic methods to generate complex bioactive natural products. Recent work is attempting to understand how molecular machines operate so their principles can be copied, and learning how to employ biomimetic evolution and learning methods to solve complex problems in science, medicine and engineering. Automation, robotics, artificial intelligence, and evolutionary algorithms are now converging to generate what might broadly be called in silico-based adaptive evolution of materials. These methods are being applied to organic chemistry to systematize reactions, create synthesis robots to carry out unit operations, and to devise closed loop flow self-optimizing chemical synthesis systems. Most scientific innovations and technologies pass through the well-known "S curve", with slow beginning, an almost exponential growth in capability, and a stable applications period. Adaptive, evolving, machine learning-based molecular design and optimization methods are approaching the period of very rapid growth and their impact is already being described as potentially disruptive. This paper describes new developments in biomimetic adaptive, evolving, learning computational molecular design methods and their potential impacts in chemistry, engineering, and medicine.

Biomimetic molecular design tools that learn, evolve, and adapt

PubMed Central

2017-01-01

A dominant hallmark of living systems is their ability to adapt to changes in the environment by learning and evolving. Nature does this so superbly that intensive research efforts are now attempting to mimic biological processes. Initially this biomimicry involved developing synthetic methods to generate complex bioactive natural products. Recent work is attempting to understand how molecular machines operate so their principles can be copied, and learning how to employ biomimetic evolution and learning methods to solve complex problems in science, medicine and engineering. Automation, robotics, artificial intelligence, and evolutionary algorithms are now converging to generate what might broadly be called in silico-based adaptive evolution of materials. These methods are being applied to organic chemistry to systematize reactions, create synthesis robots to carry out unit operations, and to devise closed loop flow self-optimizing chemical synthesis systems. Most scientific innovations and technologies pass through the well-known “S curve”, with slow beginning, an almost exponential growth in capability, and a stable applications period. Adaptive, evolving, machine learning-based molecular design and optimization methods are approaching the period of very rapid growth and their impact is already being described as potentially disruptive. This paper describes new developments in biomimetic adaptive, evolving, learning computational molecular design methods and their potential impacts in chemistry, engineering, and medicine. PMID:28694872

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading.

PubMed

Deng, Yue; Bao, Feng; Kong, Youyong; Ren, Zhiquan; Dai, Qionghai

2017-03-01

Can we train the computer to beat experienced traders for financial assert trading? In this paper, we try to address this challenge by introducing a recurrent deep neural network (NN) for real-time financial signal representation and trading. Our model is inspired by two biological-related learning concepts of deep learning (DL) and reinforcement learning (RL). In the framework, the DL part automatically senses the dynamic market condition for informative feature learning. Then, the RL module interacts with deep representations and makes trading decisions to accumulate the ultimate rewards in an unknown environment. The learning system is implemented in a complex NN that exhibits both the deep and recurrent structures. Hence, we propose a task-aware backpropagation through time method to cope with the gradient vanishing issue in deep training. The robustness of the neural system is verified on both the stock and the commodity future markets under broad testing conditions.

Utilizing an Artificial Outcrop to Scaffold Learning Between Laboratory and Field Experiences in a College-Level Introductory Geology Course

NASA Astrophysics Data System (ADS)

Wilson, Meredith

Geologic field trips are among the most beneficial learning experiences for students as they engage the topic of geology, but they are also difficult environments to maximize learning. This action research study explored one facet of the problems associated with teaching geology in the field by attempting to improve the transition of undergraduate students from a traditional laboratory setting to an authentic field environment. Utilizing an artificial outcrop, called the GeoScene, during an introductory college-level non-majors geology course, the transition was studied. The GeoScene was utilized in this study as an intermediary between laboratory and authentic field based experiences, allowing students to apply traditional laboratory learning in an outdoor environment. The GeoScene represented a faux field environment; outside, more complex and tangible than a laboratory, but also simplified geologically and located safely within the confines of an educational setting. This exploratory study employed a mixed-methods action research design. The action research design allowed for systematic inquiry by the teacher/researcher into how the students learned. The mixed-methods approach garnered several types of qualitative and quantitative data to explore phenomena and support conclusions. Several types of data were collected and analyzed, including: visual recordings of the intervention, interviews, analytic memos, student reflections, field practical exams, and a pre/post knowledge and skills survey, to determine whether the intervention affected student comprehension and interpretation of geologic phenomena in an authentic field environment, and if so, how. Students enrolled in two different sections of the same laboratory course, sharing a common lecture, participated in laboratory exercises implementing experiential learning and constructivist pedagogies that focused on learning the basic geological skills necessary for work in a field environment. These laboratory activities were followed by an approximate 15 minute intervention at the GeoScene for a treatment group of students (n=13) to attempt to mitigate potential barriers, such as: self-efficacy, novelty space, and spatial skills, which hinder student performance in an authentic field environment. Comparisons were made to a control group (n=12), who did not participate in GeoScene activities, but completed additional exercises and applications in the laboratory setting. Qualitative data sources suggested that the GeoScene treatment was a positive addition to the laboratory studies and improved the student transition to the field environment by: (1) reducing anxiety and decreasing heightened stimulus associated with the novelty of the authentic field environment, (2) allowing a physical transition between the laboratory and field that shifted concepts learned in the lab to the field environment, and (3) improving critical analysis of geologic phenomena. This was corroborated by the quantitative data that suggested the treatment group may have outperformed the control group in geology content related skills taught in the laboratory, and supported by the GeoScene, while in an authentic field environment (p≤0.01, delta=0.507).

The WEB 2.0 induced paradigm shift in the e-learning and the role of crowdsourcing in dental education.

PubMed

Thurzo, A; Stanko, P; Urbanova, W; Lysy, J; Suchancova, B; Makovnik, M; Javorka, V

2010-01-01

Authors evaluated the effect of the WEB 2.0 environment on dental education and estimated the difference in retention of knowledge by cephalometric analysis in orthodontics between conventional education and off-line e-learning. Five years of experience with complex web-based e-learning system allowed the evaluation by retrospective analysis and on-line questionnaire. The results revealed the current trends in on-line behavior of students based on the WEB 2.0 innovative technologies like Ajax. Results confirmed an increasing number of resources with a rising frequency of e-learning materials. The study confirmed that e-learning of the same subject is more efficient in immediate examination after the lecture with even better results after 12 and 24 months against the control group (Tab. 3, Fig. 1, Ref. 26).

A case study of urban student and teacher experiences surrounding an outdoor environmental science field trip

NASA Astrophysics Data System (ADS)

Preusch, Peggy L.

2009-12-01

Field trips provide opportunities for students to experience many different contexts beyond the classroom, and are a popular choice of K-12 teachers in the US. Recent interest in learning that occurs at informal science education centers such as museums, zoos and aquariums has stimulated studies of the relationship between learning in and outside of schools. Although many studies focus on the teachers, the contexts, and/or the students during the field trip, only a few look at the entire process of learning by including the classroom setting before and after the field trip. This study was designed to develop understandings of the student process of learning during and surrounding an environmental science field trip to an outdoor setting. John Dewey's extensive writings on the relationship between experience and learning informed the analysis, creating a focus on active and passive elements of the experience, continuity within and across contexts, the interactive nature of the experience and the importance of subject matter. An exploration of environmental education (EE), environmental science (ES), and nature study as content revealed the complexities of the subject matter of the field trip that make its presentation problematic. An urban school was chosen to contribute to the research literature about urban student learning in outdoor environments. During the field trip, the students' active engagement with each other and the environment supported meaningful remembrances of the field trip experiences during interviews after the field trip. The students accurately described plants and animals they had observed in different habitats during the field trip. They also made connections with their home life and prior experiences in the outdoors as they discussed the field trip and drew pictures that represented their experiences. One student integrated his outdoor experience with a language arts assignment as he reflected deeply on the field trip. One implication of this study is that educational experiences in outdoor natural environments are complex in ways that contribute to lack of continuity between science lessons in an elementary classroom and environmental science field trip. Long term relationships between schools and informal settings that recognize the strengths of both contexts in terms of student learning processes surrounding field trip experiences are needed to strengthen the educative process for field trip participants.

A Comparison of Reasoning Processes in a Collaborative Modelling Environment: Learning about genetics problems using virtual chat

NASA Astrophysics Data System (ADS)

Pata, Kai; Sarapuu, Tago

2006-09-01

This study investigated the possible activation of different types of model-based reasoning processes in two learning settings, and the influence of various terms of reasoning on the learners’ problem representation development. Changes in 53 students’ problem representations about genetic issue were analysed while they worked with different modelling tools in a synchronous network-based environment. The discussion log-files were used for the “microgenetic” analysis of reasoning types. For studying the stages of students’ problem representation development, individual pre-essays and post-essays and their utterances during two reasoning phases were used. An approach for mapping problem representations was developed. Characterizing the elements of mental models and their reasoning level enabled the description of five hierarchical categories of problem representations. Learning in exploratory and experimental settings was registered as the shift towards more complex stages of problem representations in genetics. The effect of different types of reasoning could be observed as the divergent development of problem representations within hierarchical categories.

Adult educators' core competences

NASA Astrophysics Data System (ADS)

Wahlgren, Bjarne

2016-06-01

Which competences do professional adult educators need? This research note discusses the topic from a comparative perspective, finding that adult educators' required competences are wide-ranging, heterogeneous and complex. They are subject to context in terms of national and cultural environment as well as the kind of adult education concerned (e.g. basic education, work-related education etc.). However, it seems that it is possible to identify certain competence requirements which transcend national, cultural and functional boundaries. This research note summarises these common or "core" requirements, organising them into four thematic subcategories: (1) communicating subject knowledge; (2) taking students' prior learning into account; (3) supporting a learning environment; and (4) the adult educator's reflection on his or her own performance. At the end of his analysis of different competence profiles, the author notes that adult educators' ability to train adult learners in a way which then enables them to apply and use what they have learned in practice (thus performing knowledge transfer) still seems to be overlooked.

Surgical education and training in an outer metropolitan hospital: a qualitative study of surgical trainers and trainees.

PubMed

Nestel, Debra; Harlim, Jennifer; Bryant, Melanie; Rampersad, Rajay; Hunter-Smith, David; Spychal, Bob

2017-08-01

The landscape of surgical training is changing. The anticipated increase in the numbers of surgical trainees and the shift to competency-based surgical training places pressures on an already stretched health service. With these pressures in mind, we explored trainers' and trainees' experiences of surgical training in a less traditional rotation, an outer metropolitan hospital. We considered practice-based learning theories to make meaning of surgical training in this setting, in particular Actor-network theory. We adopted a qualitative approach and purposively sampled surgical trainers and trainees to participate in individual interviews and focus groups respectively. Transcripts were made and thematically analysed. Institutional human research ethics approval was obtained. Four surgical trainers and fourteen trainees participated. Almost without exception, participants' report training needs to be well met. Emergent inter-related themes were: learning as social activity; learning and programmatic factors; learning and physical infrastructure; and, learning and organizational structure. This outer metropolitan hospital is suited to the provision of surgical training with the current rotational system for trainees. The setting offers experiences that enable consolidation of learning providing a rich and varied overall surgical training program. Although relational elements of learning were paramount they occurred within a complex environment. Actor-network theory was used to give meaning to emergent themes acknowledging that actors (both people and objects) and their interactions combine to influence training quality, shifting the focus of responsibility for learning away from individuals to the complex interactions in which they work and learn.

Children's Reasoning as Collective Social Action through Problem Solving in Grade 2/3 Science Classrooms

ERIC Educational Resources Information Center

Kim, Mijung

2016-01-01

Research on young children's reasoning show the complex relationships of knowledge, theories, and evidence in their decision-making and problem solving. Most of the research on children's reasoning skills has been done in individualized and formal research settings, not collective classroom environments where children often engage in learning and…

Beyond Accommodations: Designing for Nonverbal/Nonauditory Learners in the Inclusive Art Room

ERIC Educational Resources Information Center

Wexler, Alice; Luethi-Garrecht, Aleánna

2015-01-01

The ability to verbalize--and therefore think and learn abstractly--has conditioned people to see the world in logical patterns. People are trained to do so by the wiring of the neurologically typical (neurotypical) brain and the increasing complexity of the environment that shapes it. Public schools are also designed for students with…

Geographical Education and the Environment: Assessment Situations from Cartographic Expression

ERIC Educational Resources Information Center

de Gonzalez, Monica Rodriguez

2007-01-01

Even though the appearance and spread of new technologies offer considerable challenges in the design of far reaching and complex pre-test and assessment situations which are in keeping with the trends of teaching and learning, the thematic map is still an insuperable document to value either integral training or academic performance of future…

Rethinking Classroom-Oriented Instructional Development Models to Mediate Instructional Planning in Technology-Enhanced Learning Environments

ERIC Educational Resources Information Center

Lim, Cher Ping; Chai, Ching Sing

2008-01-01

Although classroom-oriented instructional development (ID) models have the potential to help teachers think and plan for effective instruction with technology, research studies have shown that they are not widely employed. Many of these models have not factored in the complexities that teachers faced when planning for instruction in…

Discovering Indicators of Successful Collaboration Using Tense: Automated Extraction of Patterns in Discourse

ERIC Educational Resources Information Center

Thompson, Kate; Kennedy-Clark, Shannon; Wheeler, Penny; Kelly, Nick

2014-01-01

This paper describes a technique for locating indicators of success within the data collected from complex learning environments, proposing an application of e-research to access learner processes and measure and track group progress. The technique combines automated extraction of tense and modality via parts-of-speech tagging with a visualisation…

Education Researchers as Bricoleurs in the Creation of Sustainable Learning Environments

ERIC Educational Resources Information Center

Mahlomaholo, Sechaba

2014-01-01

Higher education has, to date, been unable to provide effective and lasting solutions to challenges of education, because large sections thereof continue to search for knowledge for its own sake. At best, they conduct responsive research, but on a small scale they reduce the complexity that is education to a neat unilinear process which can be…

Beyond Legal: Crafting High-Quality IEPs for Children With Complex Communication Needs

ERIC Educational Resources Information Center

Rowland, Charity Mary; Quinn, Emily Dayle; Steiner, Sandra A. M.

2015-01-01

The Individualized Education Program (IEP) is a legal document developed for each student with a disability. The IEP outlines the student's learning needs and associated educational goals, as well as the program placement and services required to support the attainment of these goals in the least restrictive environment. Most IEPs include all…

Learning and Teaching in Uncertain Times: A Nietzschean Approach in Professional Higher Education

ERIC Educational Resources Information Center

Joosten, Henriëtta

2013-01-01

Today professionals have to deal with more uncertainties in their field than before. We live in complex and rapidly changing environments. The British philosopher Ronald Barnett adds the term "supercomplexity" to highlight the fact that "we can no longer be sure how even to describe the world that faces us" (Barnett, 2004).…

Why dissect a frog when you can simulate a lion?

DOE Office of Scientific and Technical Information (OSTI.GOV)

Smith, B.K.

1996-12-31

We are concerned with creating computer-based learning environments which provide students with opportunities to develop causal explanations of complex phenomena through experimentation and observation. We combine video and simulation to facilitate such exploration in high school biology classrooms. Specifically, we focus on issues in behavioral ecology and the predation behaviors of the Serengeti lion.

Integrating Testing into Software Engineering Courses Supported by a Collaborative Learning Environment

ERIC Educational Resources Information Center

Clarke, Peter J.; Davis, Debra; King, Tariq M.; Pava, Jairo; Jones, Edward L.

2014-01-01

As software becomes more ubiquitous and complex, the cost of software bugs continues to grow at a staggering rate. To remedy this situation, there needs to be major improvement in the knowledge and application of software validation techniques. Although there are several software validation techniques, software testing continues to be one of the…