Guiding Learners into Reengagement through the SCALE Environment: An Empirical Study

ERIC Educational Resources Information Center

Verginis, Ilias; Gouli, Evangelia; Gogoulou, Agoritsa; Grigoriadou, Maria

2011-01-01

The paper presents the facilities offered by the open learner model maintained in the web-based, adaptive, activity-oriented learning environment SCALE (Supporting Collaboration and Adaptation in a Learning Environment), in order to guide online students who become disengaged and support their reengagement. The open learner model (OLM_SCALE)…

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.…

Drivers of Learning Management System Use in a South African Open and Distance Learning Institution

ERIC Educational Resources Information Center

Venter, Peet; van Rensburg, Mari Jansen; Davis, Annemarie

2012-01-01

The study on which this article reports examined the determinants of usage of an online learning management system (LMS) by fourth level business students at a South African open and distance learning university using an extension of the widely used technology acceptance model (TAM) as a theoretical basis. A survey was conducted among students at…

Students’ Spatial Ability through Open-Ended Approach Aided by Cabri 3D

NASA Astrophysics Data System (ADS)

Priatna, N.

2017-09-01

The use of computer software such as Cabri 3D for learning activities is very unlimited. Students can adjust their learning speed according to their level of ability. Open-ended approach strongly supports the use of computer software in learning, because the goal of open-ended learning is to help developing creative activities and mathematical mindset of students through problem solving simultaneously. In other words, creative activities and mathematical mindset of students should be developed as much as possible in accordance with the ability of spatial ability of each student. Spatial ability is the ability of students in constructing and representing geometry models. This study aims to determine the improvement of spatial ability of junior high school students who obtained learning with open-ended approach aided by Cabri 3D. It adopted a quasi-experimental method with the non-randomized control group pretest-posttest design and the 2×3 factorial model. The instrument of the study is spatial ability test. Based on analysis of the data, it is found that the improvement of spatial ability of students who received open-ended learning aided by Cabri 3D was greater than students who received expository learning, both as a whole and based on the categories of students’ initial mathematical ability.

Open-Source Learning Management Systems: A Predictive Model for Higher Education

ERIC Educational Resources Information Center

van Rooij, S. Williams

2012-01-01

The present study investigated the role of pedagogical, technical, and institutional profile factors in an institution of higher education's decision to select an open-source learning management system (LMS). Drawing on the results of previous research that measured patterns of deployment of open-source software (OSS) in US higher education and…

Integrated Teacher Education Programme for Open Distance Learning: A Model for Development and Implementation

ERIC Educational Resources Information Center

Bose, Sutapa

2013-01-01

Teacher education in India, including that offered by the open distance learning (ODL) system to thousands every year, imparts mainly pedagogic knowledge, although the need for integrated teacher education programmes has been underscored. As the Indira Gandhi National Open University (IGNOU), an ODL institution, will develop an integrated Bachelor…

Simulating closed- and open-loop voluntary movement: a nonlinear control-systems approach.

PubMed

Davidson, Paul R; Jones, Richard D; Andreae, John H; Sirisena, Harsha R

2002-11-01

In many recent human motor control models, including feedback-error learning and adaptive model theory (AMT), feedback control is used to correct errors while an inverse model is simultaneously tuned to provide accurate feedforward control. This popular and appealing hypothesis, based on a combination of psychophysical observations and engineering considerations, predicts that once the tuning of the inverse model is complete the role of feedback control is limited to the correction of disturbances. This hypothesis was tested by looking at the open-loop behavior of the human motor system during adaptation. An experiment was carried out involving 20 normal adult subjects who learned a novel visuomotor relationship on a pursuit tracking task with a steering wheel for input. During learning, the response cursor was periodically blanked, removing all feedback about the external system (i.e., about the relationship between hand motion and response cursor motion). Open-loop behavior was not consistent with a progressive transfer from closed- to open-loop control. Our recently developed computational model of the brain--a novel nonlinear implementation of AMT--was able to reproduce the observed closed- and open-loop results. In contrast, other control-systems models exhibited only minimal feedback control following adaptation, leading to incorrect open-loop behavior. This is because our model continues to use feedback to control slow movements after adaptation is complete. This behavior enhances the internal stability of the inverse model. In summary, our computational model is currently the only motor control model able to accurately simulate the closed- and open-loop characteristics of the experimental response trajectories.

Getting Inside Knowledge: The Application of Entwistle's Model of Surface/Deep Processing in Producing Open Learning Materials.

ERIC Educational Resources Information Center

Evans, Barbara; Honour, Leslie

1997-01-01

Reports on a study that required student teachers training in business education to produce open learning materials on intercultural communication. Analysis of stages and responses to this assignment revealed a distinction between "deep" and "surface" learning. Includes charts delineating the characteristics of these two types…

Instance-Based Ontology Matching for Open and Distance Learning Materials

ERIC Educational Resources Information Center

Cerón-Figueroa, Sergio; López-Yáñez, Itzamá; Villuendas-Rey, Yenny; Camacho-Nieto, Oscar; Aldape-Pérez, Mario; Yáñez-Márquez, Cornelio

2017-01-01

The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content. The problem of aligning ontologies is known as Ontology Matching Problem (OMP), whose solution is…

We Are the Game Changers: An Open Gaming Literacy Programme

ERIC Educational Resources Information Center

Arnab, Sylvester; Morini, Luca; Green, Kate; Masters, Alex; Bellamy-Woods, Tyrone

2017-01-01

This paper discusses the first iteration of Game Changers Programme hosted by Coventry University's Disruptive Media Learning Lab (DMLL), an open game design initiative. The Programme had the goal of facilitating new models of teaching and learning, new practices in cross-faculty learning/ collaboration to make game design and development more…

Application of the Classification Tree Model in Predicting Learner Dropout Behaviour in Open and Distance Learning

ERIC Educational Resources Information Center

Yasmin, Dr.

2013-01-01

This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…

A Model for Ubiquitous Serious Games Development Focused on Problem Based Learning

ERIC Educational Resources Information Center

Dorneles, Sandro Oliveira; da Costa, Cristiano André; Rigo, Sandro José

2015-01-01

The possibility of using serious games with problem-based learning opens up huge opportunities to connect the experiences of daily life of students with learning. In this context, this article presents a model for serious and ubiquitous games development, focusing on problem based learning methodology. The model allows teachers to create games…

Opening the Classroom

ERIC Educational Resources Information Center

Watson, Richard T.; Boudreau, Marie-Claude; York, Paul T.; Greiner, Martina; Wynn, Donald E.

2008-01-01

We argue that information systems educators--and others in similarly dynamic professional disciplines--could benefit from an alternative infrastructure for learning. We present an "open classroom" model of education which expands upon Ferris' (2002) collaborative partnership model of education by integrating "open" technologies such as Wiki and…

How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs

ERIC Educational Resources Information Center

Joksimovic, Srecko; Poquet, Oleksandra; Kovanovic, Vitomir; Dowell, Nia; Mills, Caitlin; Gaševic, Dragan; Dawson, Shane; Graesser, Arthur C.; Brooks, Christopher

2018-01-01

Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain unexplored. This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis…

A Framework System for Intelligent Support in Open Distributed Learning Environments--A Look Back from 16 Years Later

ERIC Educational Resources Information Center

Hoppe, H. Ulrich

2016-01-01

The 1998 paper by Martin Mühlenbrock, Frank Tewissen, and myself introduced a multi-agent architecture and a component engineering approach for building open distributed learning environments to support group learning in different types of classroom settings. It took up prior work on "multiple student modeling" as a method to configure…

Social Responsibility and Sustainability: Multidisciplinary Perspectives through Service Learning. Service Learning for Civic Engagement Series

ERIC Educational Resources Information Center

McDonald, Tracy, Ed.

2011-01-01

This concluding volume in the series presents the work of faculty who have been moved to make sustainability the focus of their work, and to use service learning as one method of teaching sustainability to their students. The chapters in the opening section of this book-- Environmental Awareness--offer models for opening students to the awareness…

Scalable Regression Tree Learning on Hadoop using OpenPlanet

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yin, Wei; Simmhan, Yogesh; Prasanna, Viktor

As scientific and engineering domains attempt to effectively analyze the deluge of data arriving from sensors and instruments, machine learning is becoming a key data mining tool to build prediction models. Regression tree is a popular learning model that combines decision trees and linear regression to forecast numerical target variables based on a set of input features. Map Reduce is well suited for addressing such data intensive learning applications, and a proprietary regression tree algorithm, PLANET, using MapReduce has been proposed earlier. In this paper, we describe an open source implement of this algorithm, OpenPlanet, on the Hadoop framework usingmore » a hybrid approach. Further, we evaluate the performance of OpenPlanet using realworld datasets from the Smart Power Grid domain to perform energy use forecasting, and propose tuning strategies of Hadoop parameters to improve the performance of the default configuration by 75% for a training dataset of 17 million tuples on a 64-core Hadoop cluster on FutureGrid.« less

Towards Increased Relevance: Context-Adapted Models of the Learning Organization

ERIC Educational Resources Information Center

Örtenblad, Anders

2015-01-01

Purpose: The purposes of this paper are to take a closer look at the relevance of the idea of the learning organization for organizations in different generalized organizational contexts; to open up for the existence of multiple, context-adapted models of the learning organization; and to suggest a number of such models.…

LOL--Limitations of Online Learning--Are We Selling the Open and Distance Education Message Short?

ERIC Educational Resources Information Center

Todhunter, Barrie

2013-01-01

The thesis of this paper is that the open and distance education sector is based on a framework of terminology that is typologically inconsistent and which lacks clarity, and open and distance education teaching and learning models are examined to explore these concerns. The findings of this analysis are then used to assist in the articulation of…

Will E-Business Shape the Future of Open and Distance Learning?

ERIC Educational Resources Information Center

Oblinger, Diana

2001-01-01

Explores the impact that electronic business is likely to have on the growth of open and distance learning. Discusses global consortia and global virtual universities; technological developments, including Web qualities; value chains; pricing models; the importance of scale; operating efficiencies; and increasing competition. (Author/LRW)

Changing the Rules: Making Space for Interactive Learning in the Galleries of the Detroit Institute of Arts

ERIC Educational Resources Information Center

Czajkowski, Jennifer Wild

2011-01-01

Three years after the Detroit Institute of Arts opened with all new, "visitor-centered" galleries, the museum's executive director of learning and interpretation shares the processes, successes, and lessons learned at an institution that embraced an array of hands-on learning models. The models are discussed as components of a…

Behind the Scenes with OpenLearn: The Challenges of Researching the Provision of Open Educational Resources

ERIC Educational Resources Information Center

Godwin, Stephen; McAndrew, Patrick; Santos, Andreia

2008-01-01

Web-enabled technology is now being applied on a large scale. In this paper we look at open access provision of teaching and learning leading to many users with varying patterns and motivations for use. This has provided us with a research challenge to find methods that help us understand and explain such initiatives. We describe ways to model the…

An Analysis of Challenges Faced by Students Learning in Virtual and Open Distance Learning System: A Case of Bindura University of Science Education (BUSE)

ERIC Educational Resources Information Center

Dodo, Obediah; Makwerere, David; Parwada, Matavire; Parwada, Cosmas

2013-01-01

After realizing that the traditional modes of tuition in Zimbabwe's andragogy had either gone obsolete or over-crowded, BUSE ventured into a "virtualised" model of open and distance learning as a way of out-doing other competing universities. However, as the programme was rolled out, there came a myriad of challenges affecting the…

The Search for Learning Community in Learner Paced Distance Education: Or, "Having Your Cake and Eating It, Too!"

ERIC Educational Resources Information Center

Anderson, Terry; Annand, David; Wark, Norine

2005-01-01

University distance and e-learning programs generally follow one of two models. Most dual mode institutions and some open universities follow a model of cohort learning. Students start and terminate each course at the same time, and proceed at the same pace. This model allows for occasional or regular group based activities. The second model,…

Analysis of Learning Achievement and Teacher-Student Interactions in Flipped and Conventional Classrooms

ERIC Educational Resources Information Center

Sun, Jerry Chih-Yuan; Wu, Yu-Ting

2016-01-01

This study aimed to investigate the effectiveness of two different teaching methods on learning effectiveness. OpenCourseWare was integrated into the flipped classroom model (experimental group) and distance learning (control group). Learning effectiveness encompassed learning achievement, teacher-student interactions, and learning satisfaction.…

Quality Assurance in Distance and Open Learning

ERIC Educational Resources Information Center

Mahafzah, Mohammed Hasan

2012-01-01

E-learning has become an increasingly important teaching and learning mode in educational institutions and corporate training. The evaluation of E-learning, however, is essential for the quality assurance of E-learning courses. This paper constructs a three-phase evaluation model for E-learning courses, which includes development, process, and…

Massive and Open

ERIC Educational Resources Information Center

Fasimpaur, Karen

2013-01-01

MOOCs--massive open online courses--are all the rage these days, with hundreds of thousands of participants signing up and investors plunking down millions to get a piece of the pie. Why is there so much excitement about this new disruptive form of online learning, and how does this model apply to professional learning for teachers? Traditional…

Evaluating Quality of Students' Support Services in Open Distance Learning

ERIC Educational Resources Information Center

Nsamba, Asteria; Makoe, Mpine

2017-01-01

Evaluating the quality of students' support services in distance education institutions is vital because by nature Open Distance Learning (ODL) is a high-involvement service industry, with multiple student support service encounters. Most quality evaluation models tend to view quality from the institutional perspective. As a result, little is…

Adding Value: Open Online Learning and the MBA

ERIC Educational Resources Information Center

Fitzgerald, Rachel; Anderson, Maggie; Thompson, Ross

2015-01-01

Evidence suggests that MOOCs are being used as a strategic tool to explore alternative models of course delivery (Allen & Seaman, 2013) and this paper shares insight into an example of such innovation for Business School Education. Gateway MBA draws on examples of open learning worldwide to create a MOOC to extend the MBA distance learning…

Towards Open-World Person Re-Identification by One-Shot Group-Based Verification.

PubMed

Zheng, Wei-Shi; Gong, Shaogang; Xiang, Tao

2016-03-01

Solving the problem of matching people across non-overlapping multi-camera views, known as person re-identification (re-id), has received increasing interests in computer vision. In a real-world application scenario, a watch-list (gallery set) of a handful of known target people are provided with very few (in many cases only a single) image(s) (shots) per target. Existing re-id methods are largely unsuitable to address this open-world re-id challenge because they are designed for (1) a closed-world scenario where the gallery and probe sets are assumed to contain exactly the same people, (2) person-wise identification whereby the model attempts to verify exhaustively against each individual in the gallery set, and (3) learning a matching model using multi-shots. In this paper, a novel transfer local relative distance comparison (t-LRDC) model is formulated to address the open-world person re-identification problem by one-shot group-based verification. The model is designed to mine and transfer useful information from a labelled open-world non-target dataset. Extensive experiments demonstrate that the proposed approach outperforms both non-transfer learning and existing transfer learning based re-id methods.

Implementing a Learning Model for a Practical Subject in Distance Education.

ERIC Educational Resources Information Center

Weller, M. J.; Hopgood, A. A.

1997-01-01

Artificial Intelligence for Technology, a distance learning course at the Open University, is based on a learning model that combines conceptualization, construction, and dialog. This allows a practical emphasis which has been difficult to implement in distance education. The course uses commercial software, real-world-based assignments, and a…

Information Technology-Based Open Learning--A Study Report. Occasional Paper InTER/12/89.

ERIC Educational Resources Information Center

Hodgson, V., Ed.; And Others

This document reports on a study which focused on improving the flexibility and responsiveness of vocational education and training provision in Great Britain by producing a plan for information technology-based open learning (ITOL) provision. In the first section, the ITOL model is described through three scenarios. Benefits to learners such as…

Teaching Biology at a Distance: Pleasures, Pitfalls, and Possibilities

ERIC Educational Resources Information Center

MacQueen, Hilary; Thomas, Jeff

2009-01-01

The Open University (OU) has a long and distinguished history of teaching biology at a distance by a supported open learning model. This article examines some of the challenges in delivering biology via distance teaching, explores some of the lessons learned, and discusses the opportunities and hazards of new teaching technologies that the OU has…

Using an "Open Approach" to Create a New, Innovative Higher Education Model

ERIC Educational Resources Information Center

Huggins, Susan; Smith, Peter

2015-01-01

Navigating learning, formal or informal, can be overwhelming, confusing, and impersonal. With more options than ever, the process of deciding what, where, and when can be overwhelming to a learner. The concept of Open College at Kaplan University (OC@KU) was to bring organization, purpose, and personalization of learning caused by vast resources…

Climate for Learning and Students' Openness to Diversity and Challenge: A Critical Role for Faculty

ERIC Educational Resources Information Center

Ryder, Andrew J.; Reason, Robert D.; Mitchell, Joshua J.; Gillon, Kathleen; Hemer, Kevin M.

2016-01-01

Utilizing data from 15 institutions that participated in the 2013 and 2014 administrations of the Personal and Social Responsibility Inventory (PSRI), this study employed a multilevel modeling approach to examine the relationship of students' perceptions of their climate for learning to their scores on the Openness to Diversity and Challenge Scale…

A Model for an Open and Flexible E-Training Platform To Encourage Companies' Learning Culture and Meet Employees' Learning Needs.

ERIC Educational Resources Information Center

Bagnasco, Andrea; Chirico, Marco; Parodi, Giancarlo; Scapolla, A. Marina

2003-01-01

Distance education is an answer to the demand for flexibility in training. The aim is to build a virtual learning community on the basis of a knowledge model that meets different learning needs. This article analyzes possible innovations in corporate training, and proposes a framework that integrates all information sources and offers practice…

Peer Learning and Support of Technology in an Undergraduate Biology Course to Enhance Deep Learning

PubMed Central

Tsaushu, Masha; Tal, Tali; Sagy, Ornit; Kali, Yael; Gepstein, Shimon; Zilberstein, Dan

2012-01-01

This study offers an innovative and sustainable instructional model for an introductory undergraduate course. The model was gradually implemented during 3 yr in a research university in a large-lecture biology course that enrolled biology majors and nonmajors. It gives priority to sources not used enough to enhance active learning in higher education: technology and the students themselves. Most of the lectures were replaced with continuous individual learning and 1-mo group learning of one topic, both supported by an interactive online tutorial. Assessment included open-ended complex questions requiring higher-order thinking skills that were added to the traditional multiple-choice (MC) exam. Analysis of students’ outcomes indicates no significant difference among the three intervention versions in the MC questions of the exam, while students who took part in active-learning groups at the advanced version of the model had significantly higher scores in the more demanding open-ended questions compared with their counterparts. We believe that social-constructivist learning of one topic during 1 mo has significantly contributed to student deep learning across topics. It developed a biological discourse, which is more typical to advanced stages of learning biology, and changed the image of instructors from “knowledge transmitters” to “role model scientists.” PMID:23222836

Peer learning and support of technology in an undergraduate biology course to enhance deep learning.

PubMed

Tsaushu, Masha; Tal, Tali; Sagy, Ornit; Kali, Yael; Gepstein, Shimon; Zilberstein, Dan

2012-01-01

This study offers an innovative and sustainable instructional model for an introductory undergraduate course. The model was gradually implemented during 3 yr in a research university in a large-lecture biology course that enrolled biology majors and nonmajors. It gives priority to sources not used enough to enhance active learning in higher education: technology and the students themselves. Most of the lectures were replaced with continuous individual learning and 1-mo group learning of one topic, both supported by an interactive online tutorial. Assessment included open-ended complex questions requiring higher-order thinking skills that were added to the traditional multiple-choice (MC) exam. Analysis of students' outcomes indicates no significant difference among the three intervention versions in the MC questions of the exam, while students who took part in active-learning groups at the advanced version of the model had significantly higher scores in the more demanding open-ended questions compared with their counterparts. We believe that social-constructivist learning of one topic during 1 mo has significantly contributed to student deep learning across topics. It developed a biological discourse, which is more typical to advanced stages of learning biology, and changed the image of instructors from "knowledge transmitters" to "role model scientists."

An Example of Competence-Based Learning: Use of Maxima in Linear Algebra for Engineers

ERIC Educational Resources Information Center

Diaz, Ana; Garcia, Alfonsa; de la Villa, Agustin

2011-01-01

This paper analyses the role of Computer Algebra Systems (CAS) in a model of learning based on competences. The proposal is an e-learning model Linear Algebra course for Engineering, which includes the use of a CAS (Maxima) and focuses on problem solving. A reference model has been taken from the Spanish Open University. The proper use of CAS is…

Open University Staff Development Materials for Tutors of Open Learning.

ERIC Educational Resources Information Center

Langley, Anne; Perkins, Isabel

1999-01-01

Discusses the evolution of staff development and the new Supporting Open Learners' (SOL) materials at the United Kingdom Open University. Outlines objectives of the SOL program. Discusses issues arising from use of SOL materials, including instructional attitudes; modelling good practice; developing the reflective practitioner; perceived value;…

Personal Learning Environments in the Workplace: An Exploratory Study into the Key Business Decision Factors

ERIC Educational Resources Information Center

Chatterjee, Arunangsu; Law, Effie Lai-Chong; Mikroyannidis, Alexander; Owen, Glyn; Velasco, Karen

2013-01-01

Personal Learning Environments (PLEs) have emerged as a solution to the need of learners for open and easily customisable learning environments. PLEs essentially hand complete control over the learning process to the learner. However, this learning model is not fully compatible with learning in the workplace, which is influenced by certain…

What Makes a MOOC? Massive Open Online Courses (MOOCSs) Compared to Mainstream Online University Courses

ERIC Educational Resources Information Center

Johnston, Timothy C.

2014-01-01

A Massive Open Online Course (MOOC) is a model for delivering learning content online to any person who wants to take a course, with no limit on attendance. The MOOC industry is growing rapidly, fueled by students interested in free higher-education learning, and the universities and venture capitalists willing to fund the courses. This paper…

Disruptive Innovation? Open Educational Projects Peer 2 Peer University and StraighterLine Take Shape

ERIC Educational Resources Information Center

Observatory on Borderless Higher Education, 2010

2010-01-01

The pilot phase of Peer 2 Peer University (P2PU), a "grassroots" open educational project aimed at creating a new model for lifelong learning is now underway. Billing itself as an institution which promotes "learning for everyone, by everyone, about almost anything", P2PU is seeking to provide high-quality, low-cost educational opportunities by…

An Open IMS-Based User Modelling Approach for Developing Adaptive Learning Management Systems

ERIC Educational Resources Information Center

Boticario, Jesus G.; Santos, Olga C.

2007-01-01

Adaptive LMS have not yet reached the eLearning marketplace due to methodological, technological and management open issues. At aDeNu group, we have been working on two key challenges for the last five years in related research projects. Firstly, develop the general framework and a running architecture to support the adaptive life cycle (i.e.,…

Using Design & Animation Concepts to Produce Animated Instructional Resources That Can Facilitate Open Distance Learning in Science and Technology Education

ERIC Educational Resources Information Center

Kwasu, Isaac Ali; Yalams, Simon Madugu; Ema, Ema

2016-01-01

This paper presents an outline on how teachers can use "The Design Process and Animation Techniques to produce animated instructional resources (AIR) which, can be used to facilitate Open Distance Learning in especially Science and Technology Education. A model of the Animated Instructional Resource was developed for the teaching of Human…

Critical Review on Affect of Personality on Learning Styles

ERIC Educational Resources Information Center

Kamarulzaman, Wirawani

2012-01-01

This paper is intended to review the affect of personality on learning styles. Costa and McCrae's Five-Factor Model of Personality (The Big 5) is explored against Kolb Learning Styles. The Big 5 factors are extraversion, neuroticism, openness, agreeableness and conscientiousness, whereas Kolb Learning Styles are divergers, assimilators,…

Urban Studies: A Learning Model.

ERIC Educational Resources Information Center

Cooper, Terry L.; Sundeen, Richard

1979-01-01

The urban studies learning model described in this article was found to increase students' self-esteem, imbue a more flexible and open perspective, contribute to the capacity for self-direction, produce increases on the feeling reactivity, spontaneity, and acceptance of aggression scales, and expand interpersonal competence. (Author/WI)

On valuing peers: theories of learning and intercultural competence

NASA Astrophysics Data System (ADS)

Cajander, Åsa; Daniels, Mats; McDermott, Roger

2012-12-01

This paper investigates the links between the contributing student pedagogy and other forms of peer-mediated learning models, e.g. open-ended group projects and communities of practice. We find that a fundamental concern in each of these models is the attribution of value; specifically, recognition of the value of learning that is enabled by peer interaction, and the way in which value is created and assessed within a learning community. Value is also central to theories of intercultural competence. We examine the role that the concept of value plays in the development cycle of intercultural competence and relate it to its function in peer-mediated learning models. We also argue that elements of social learning theory, principally recent work on value creation in communities of practice, are very relevant to the construction and assessment of the type of activities proposed within the contributing student pedagogy. Our theoretical analysis is situated within the context of a globally distributed open-ended group project course unit and our conclusions are illustrated with reference to student practice in this environment.

A Web-Based Computer-Aided Learning Module for an Anatomy Course Using Open Source Image Mapping Software

ERIC Educational Resources Information Center

Carleton, Renee E.

2012-01-01

Computer-aided learning (CAL) is used increasingly to teach anatomy in post-secondary programs. Studies show that augmentation of traditional cadaver dissection and model examination by CAL can be associated with positive student learning outcomes. In order to reduce costs associated with the purchase of skeletons and models and to encourage study…

Post Graduations in Technologies and Computing Applied to Education: From F2F Classes to Multimedia Online Open Courses

ERIC Educational Resources Information Center

Marques, Bertil P.; Carvalho, Piedade; Escudeiro, Paula; Barata, Ana; Silva, Ana; Queiros, Sandra

2017-01-01

Promoted by the significant increase of large scale internet access, many audiences have turned to the web and to its resources for learning and inspiration, with diverse sets of skills and intents. In this context, Multimedia Online Open Courses (MOOC) consist in learning models supported on user-friendly web tools that allow anyone with minimum…

Learner Satisfaction with Massive Open Online Courses

ERIC Educational Resources Information Center

Gameel, Bahaa G.

2017-01-01

This study investigates factors that influence learners' satisfaction with massive open online courses (MOOCs). Framed by the theory of independent learning and teaching, the three types of interaction model, and the technology acceptance model, this study analyzed data collected from 1,786 learners enrolled in four MOOCs. Results show that the…

On Valuing Peers: Theories of Learning and Intercultural Competence

ERIC Educational Resources Information Center

Cajander, Asa; Daniels, Mats; McDermott, Roger

2012-01-01

This paper investigates the links between the "contributing student pedagogy" and other forms of peer-mediated learning models, e.g. "open-ended group projects" and "communities of practice." We find that a fundamental concern in each of these models is the attribution of "value"; specifically, recognition…

A Classification Model and an Open E-Learning System Based on Intuitionistic Fuzzy Sets for Instructional Design Concepts

ERIC Educational Resources Information Center

Güyer, Tolga; Aydogdu, Seyhmus

2016-01-01

This study suggests a classification model and an e-learning system based on this model for all instructional theories, approaches, models, strategies, methods, and technics being used in the process of instructional design that constitutes a direct or indirect resource for educational technology based on the theory of intuitionistic fuzzy sets…

Big Data Meets Physics Education Research: From MOOCs to University-Led High School Programs

NASA Astrophysics Data System (ADS)

Seaton, Daniel

2017-01-01

The Massive Open Online Course (MOOC) movement has catalyzed discussions of digital learning on campuses around the world and highlighted the increasingly large, complex datasets related to learning. Physics Education Research can and should play a key role in measuring outcomes of this most recent wave of digital education. In this talk, I will discuss big data and learning analytics through multiple modes of teaching and learning enabled by the open-source edX platform: open-online, flipped, and blended. Open-Online learning will be described through analysis of MOOC offerings from Harvard and MIT, where 2.5 million unique users have led to 9 million enrollments across nearly 300 courses. Flipped instruction will be discussed through an Advanced Placement program at Davidson College that empowers high school teachers to use AP aligned, MOOC content directly in their classrooms with only their students. Analysis of this program will be highlighted, including results from a pilot study showing a positive correlation between content usage and externally validated AP exam scores. Lastly, blended learning will be discussed through specific residential use cases at Davidson College and MIT, highlighting unique course models that blend open-online and residential experiences. My hope for this talk is that listeners will better understand the current wave of digital education and the opportunities it provides for data-driven teaching and learning.

Making Conferences Human Places of Learning

ERIC Educational Resources Information Center

Kenny, Michael

2014-01-01

Open Space Technology is a cumbersome name for a participative conference model that enables dynamic inclusive engagement and challenges traditional, highly structured hierarchical conference formats. Based on self-organising systems, (Wenger, 1998) Open Space Technology conferences have an open process, start with no agenda and empower the most…

Innovation in engineering education through computer assisted learning and virtual university model

NASA Astrophysics Data System (ADS)

Raicu, A.; Raicu, G.

2015-11-01

The paper presents the most important aspects of innovation in Engineering Education using Computer Assisted Learning. The authors propose to increase the quality of Engineering Education programs of study at European standards. The use of computer assisted learning methodologies in all studies is becoming an important resource in Higher Education. We intend to improve the concept of e-Learning using virtual terminals, online support and assisting special training through live seminars and interactive labs to develop a virtual university model. We intend to encourage computer assisted learning and innovation as sources of competitive advantage, to permit vision and learning analysis, identifies new sources of technology and ideas. Our work is based on our university datasets collected during last fifteen years using several e-Learning systems. In Constanta Maritime University (CMU), using eLearning and Knowledge Management Services (KMS) is very important and we apply it effectively to achieve strategic objectives, such as collaboration, sharing and good practice. We have experience in this field since 2000 year using Moodle as KMS in our university. The term KMS can be associated to Open Source Software, Open Standards, Open Protocols and Open Knowledge licenses, initiatives and policies. In CMU Virtual Campus we have today over 12500 active users. Another experience of the authors is the implementation of MariTrainer Wiki educational platform based on Dokeos and DekiWiki under MARICOMP and MEP Leonardo da Vinci Project. We'll also present in this paper a case study under EU funded project POSDRU, where the authors implemented other educational platform in Technological High Schools from Romania used over 1000 teachers. Based on large datasets the study tries to improve the concept of e-Learning teaching using the revolutionary technologies. The new concept present in this paper is that the teaching and learning will be interactive and live. The new and modern techniques are the flexible learning courses, the production of learning demonstrators and testing. All the information from the virtual educational platform remain open space, communication between participants and continued after graduation, so we can talk about creating and maintaining a community of graduates, a partnership with them. Every European University must have a department which aims to provide computer assisted learning using knowledge creation through learning, capture and explication, sharing and collaborative communication, access, use and reuse and knowledge archiving.

Competence Visualisation: Making Sense of Data from 21st-Century Technologies in Language Learning

ERIC Educational Resources Information Center

Bull, Susan; Wasson, Barbara

2016-01-01

This paper introduces an open learner model approach to learning analytics to combine the variety of data available from the range of applications and technologies in language learning, for visualisation of language learning competences to learners and teachers in the European language context. Specific examples are provided as illustrations…

DeepInfer: open-source deep learning deployment toolkit for image-guided therapy

NASA Astrophysics Data System (ADS)

Mehrtash, Alireza; Pesteie, Mehran; Hetherington, Jorden; Behringer, Peter A.; Kapur, Tina; Wells, William M.; Rohling, Robert; Fedorov, Andriy; Abolmaesumi, Purang

2017-03-01

Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration. However, deploying deep learning models often has a steep learning curve and requires detailed knowledge of various software packages. Thus, many deep models have not been integrated into the clinical research work ows causing a gap between the state-of-the-art machine learning in medical applications and evaluation in clinical research procedures. In this paper, we propose "DeepInfer" - an open-source toolkit for developing and deploying deep learning models within the 3D Slicer medical image analysis platform. Utilizing a repository of task-specific models, DeepInfer allows clinical researchers and biomedical engineers to deploy a trained model selected from the public registry, and apply it to new data without the need for software development or configuration. As two practical use cases, we demonstrate the application of DeepInfer in prostate segmentation for targeted MRI-guided biopsy and identification of the target plane in 3D ultrasound for spinal injections.

DeepInfer: Open-Source Deep Learning Deployment Toolkit for Image-Guided Therapy.

PubMed

Mehrtash, Alireza; Pesteie, Mehran; Hetherington, Jorden; Behringer, Peter A; Kapur, Tina; Wells, William M; Rohling, Robert; Fedorov, Andriy; Abolmaesumi, Purang

2017-02-11

Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration. However, deploying deep learning models often has a steep learning curve and requires detailed knowledge of various software packages. Thus, many deep models have not been integrated into the clinical research workflows causing a gap between the state-of-the-art machine learning in medical applications and evaluation in clinical research procedures. In this paper, we propose "DeepInfer" - an open-source toolkit for developing and deploying deep learning models within the 3D Slicer medical image analysis platform. Utilizing a repository of task-specific models, DeepInfer allows clinical researchers and biomedical engineers to deploy a trained model selected from the public registry, and apply it to new data without the need for software development or configuration. As two practical use cases, we demonstrate the application of DeepInfer in prostate segmentation for targeted MRI-guided biopsy and identification of the target plane in 3D ultrasound for spinal injections.

DeepInfer: Open-Source Deep Learning Deployment Toolkit for Image-Guided Therapy

PubMed Central

Mehrtash, Alireza; Pesteie, Mehran; Hetherington, Jorden; Behringer, Peter A.; Kapur, Tina; Wells, William M.; Rohling, Robert; Fedorov, Andriy; Abolmaesumi, Purang

2017-01-01

Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration. However, deploying deep learning models often has a steep learning curve and requires detailed knowledge of various software packages. Thus, many deep models have not been integrated into the clinical research workflows causing a gap between the state-of-the-art machine learning in medical applications and evaluation in clinical research procedures. In this paper, we propose “DeepInfer” – an open-source toolkit for developing and deploying deep learning models within the 3D Slicer medical image analysis platform. Utilizing a repository of task-specific models, DeepInfer allows clinical researchers and biomedical engineers to deploy a trained model selected from the public registry, and apply it to new data without the need for software development or configuration. As two practical use cases, we demonstrate the application of DeepInfer in prostate segmentation for targeted MRI-guided biopsy and identification of the target plane in 3D ultrasound for spinal injections. PMID:28615794

Individualized Special Education with Cognitive Skill Assessment.

ERIC Educational Resources Information Center

Kurhila, Jaakko; Laine, Tei

2000-01-01

Describes AHMED (Adaptive and Assistive Hypermedia in Education), a computer learning environment which supports the evaluation of disabled children's cognitive skills in addition to supporting openness in learning materials and adaptivity in learning events. Discusses cognitive modeling and compares it to previous intelligent tutoring systems.…

Professional Learning: A Fuzzy Logic-Based Modelling Approach

ERIC Educational Resources Information Center

Gravani, M. N.; Hadjileontiadou, S. J.; Nikolaidou, G. N.; Hadjileontiadis, L. J.

2007-01-01

Studies have suggested that professional learning is influenced by two key parameters, i.e., climate and planning, and their associated variables (mutual respect, collaboration, mutual trust, supportiveness, openness). In this paper, we applied analysis of the relationships between the proposed quantitative, fuzzy logic-based model and a series of…

A New Perspective of Negotiation-Based Dialog to Enhance Metacognitive Skills in the Context of Open Learner Models

ERIC Educational Resources Information Center

Suleman, Raja M.; Mizoguchi, Riichiro; Ikeda, Mitsuru

2016-01-01

Negotiation mechanism using conversational agents (chatbots) has been used in Open Learner Models (OLM) to enhance learner model accuracy and provide opportunities for learner reflection. Using chatbots that allow for natural language discussions has shown positive learning gains in students. Traditional OLMs assume a learner to be able to manage…

Teachers' roles in light of massive open online courses (MOOCs): Evolution and challenges in higher distance education

NASA Astrophysics Data System (ADS)

Gil-Jaurena, Inés; Domínguez, Daniel

2018-03-01

This article analyses the challenges teachers face when entering a digital and open online environment in higher education. Massive open online courses (MOOCs) have become a popular phenomenon, making online learning more visible in the educational agenda; therefore, it is appropriate to analyse their expansion and diversification to help inform the next generation of courses. In this article, MOOCs are contextualised in a historical and wider approach to online education, building upon lessons learned from open and distance education, and exploring the introduction of technologies in providing higher education to massive populations over the past 45 years. In particular, the research study presented in this article used the open scholarship approach to analyse many of the changes that can occur in teaching when an open context applies, as in the case of MOOCs. Taking into account that a collaborative online learning experience is influenced by the simultaneous presence and overlap of cognitive, social and teaching elements, the study also used the community of inquiry model as a theoretical framework. In the study, 24 teachers (from the Universidad Nacional de Educación a Distancia [UNED] in Madrid, Spain) were surveyed about their experiences of MOOCs in terms of their current tasks, and the main changes they have observed compared to teaching in a more traditional electronic learning (e-learning) environment (at both graduate and postgraduate levels). These changes in roles, as well as teachers' views about the impact of "massiveness" and "openness" on their understanding and teaching practice, are presented and analysed. Finally, the article also discusses how the evolution towards adapted learning, collaborative learning and assessment supported by technical tools, for example, was already in progress at UNED before MOOCs were initiated.

Exploring spiritual value in earth science concept through learning using chain till unanswered questions

NASA Astrophysics Data System (ADS)

Johan, Henny; Suhandi, Andi; Samsudin, Ahmad; Ratna Wulan, Ana

2017-08-01

Now days, the youth's moral decline is an urgent problem in our country. Natural science especially earth and space science learning is potential to insert spirituality value in its learning activities. The aim of this study is to explore concept of planet earth to embed spirituality attitude through earth science learning. Interactive conceptual learning model using chain till unanswered questions (CTUQ) with help visualizations was implemented in this study. 23 pre-service physics teacher in Bengkulu, Indonesia participated in this study. A sixth indicator of spiritual aspect about awareness of divinity were used to identify the shifted of students' spirituality. Quasi experimental research design had been utilized to implement the learning model. The data were collected using a questionnaire in pretest and posttest. Open ended question was given at post-test only. Questionnaire was analyzed quantitative while open ended question was analyzed qualitatively. The results show that after implementation student's spiritual shifted to be more awareness of divinity. Students' response at scale 10 increased been 97.8% from 87.5% of total responses. Based on analysis of open ended question known that the shifted was influenced by spiritual value inserted in concepts, CTUQ, and media visualization used to show unobservable earth phenomenon during learning activities. It can be concluded that earth science concepts can be explored to embed spiritual aspect.

The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice.

PubMed

Dunne, Simon; D'Souza, Arun; O'Doherty, John P

2016-06-01

A major open question is whether computational strategies thought to be used during experiential learning, specifically model-based and model-free reinforcement learning, also support observational learning. Furthermore, the question of how observational learning occurs when observers must learn about the value of options from observing outcomes in the absence of choice has not been addressed. In the present study we used a multi-armed bandit task that encouraged human participants to employ both experiential and observational learning while they underwent functional magnetic resonance imaging (fMRI). We found evidence for the presence of model-based learning signals during both observational and experiential learning in the intraparietal sulcus. However, unlike during experiential learning, model-free learning signals in the ventral striatum were not detectable during this form of observational learning. These results provide insight into the flexibility of the model-based learning system, implicating this system in learning during observation as well as from direct experience, and further suggest that the model-free reinforcement learning system may be less flexible with regard to its involvement in observational learning. Copyright © 2016 the American Physiological Society.

Perceptron Genetic to Recognize Openning Strategy Ruy Lopez

NASA Astrophysics Data System (ADS)

Azmi, Zulfian; Mawengkang, Herman

2018-01-01

The application of Perceptron method is not effective for coding on hardware based systems because it is not real time learning. With Genetic algorithm approach in calculating and searching the best weight (fitness value) system will do learning only one iteration. And the results of this analysis were tested in the case of the introduction of the opening pattern of chess Ruy Lopez. The Analysis with Perceptron Model with Algorithm Approach Genetics from group Artificial Neural Network for open Ruy Lopez. The data is processed with base open chess, with step eight a position white Pion from end open chess. Using perceptron method have many input and one output process many weight and refraction until output equal goal. Data trained and test with software Matlab and system can recognize the chess opening Ruy Lopez or Not open Ruy Lopez with Real time.

InnovateEDU, Inc.: Brooklyn Laboratory Charter Schools (LAB)

ERIC Educational Resources Information Center

EDUCAUSE, 2015

2015-01-01

Entrepreneurial learning is the backbone of this Brooklyn charter school network which opened in Fall 2014 to serve grades 6-12, including English language learners and students with disabilities. LAB's academic model combines empirically effective learning practices with innovative implementation strategies, including a blended learning model…

Impacts of Learning Orientation on Product Innovation Performance

ERIC Educational Resources Information Center

Calisir, Fethi; Gumussoy, Cigdem Altin; Guzelsoy, Ezgi

2013-01-01

Purpose: The present study aims to examine the effect of learning orientation (commitment to learning, shared vision, open-mindedness) on the product innovation performance (product innovation efficacy and efficiency) of companies in Turkey. Design/methodology/approach: A structural equation-modeling approach was applied to identify the variables…

Harnessing the Power of Information Technology: Open Business Models in Higher Education

ERIC Educational Resources Information Center

Sheets, Robert G.; Crawford, Stephen

2012-01-01

Higher education is under enormous pressure to improve outcomes and reduce costs. Information technology can help achieve these goals, but only if it is properly harnessed. This article argues that one key to harnessing information technology is business model innovation that results in more "open" and "unbundled" operations in learning and…

Learning from project experiences using a legacy-based approach

NASA Technical Reports Server (NTRS)

Cooper, Lynne P.; Majchrzak, Ann; Faraj, Samer

2005-01-01

As project teams become used more widely, the question of how to capitalize on the knowledge learned in project teams remains an open issue. Using previous research on shared cognition in groups, an approach to promoting post-project learning was developed. This Legacy Review concept was tested on four in tact project teams. The results from those test sessions were used to develop a model of team learning via group cognitive processes. The model and supporting propositions are presented.

Ontological Modeling of Educational Resources: A Proposed Implementation for Greek Schools

ERIC Educational Resources Information Center

Poulakakis, Yannis; Vassilakis, Kostas; Kalogiannakis, Michail; Panagiotakis, Spyros

2017-01-01

In eLearning context searching for suitable educational material is still a challenging issue. During the last two decades, various digital repositories, such as Learning Object Repositories, institutional repositories and latterly Open Educational Resources, have been developed to accommodate collections of learning material that can be used for…

Metaphor, computing systems, and active learning

DOE Office of Scientific and Technical Information (OSTI.GOV)

Carroll, J.M.; Mack, R.L.

1982-01-01

The authors discuss the learning process that is directed towards particular goals and is initiated by the learner, through which metaphors become relevant and effective in learning. This allows an analysis of metaphors that explains why metaphors are incomplete and open-ended, and how this stimulates the construction of mental models. 9 references.

Learning Styles and Self-Regulation.

ERIC Educational Resources Information Center

Vermunt, Jan D. H. M.

Data from 211 adult students (ages 20 to 75) at the Open University, The Netherlands, were used to construct and test an instrument to measure learning styles and regulation processes. Test development was guided by a three-tiered model of self-regulation encompassing: (1) cognitive learning processes (deep, surface, elaborative); (2) regulation…

Designing Online Learning for Developing Pre-Service Teachers' Capabilities in Mathematical Modelling and Applications

ERIC Educational Resources Information Center

Geiger, Vince; Date-Huxtable, Liz; Ahlip, Rehez; Herberstein, Marie; Jones, D. Heath; May, E. Julian; Rylands, Leanne; Wright, Ian; Mulligan, Joanne

2016-01-01

The purpose of this paper is to describe the processes utilised to develop an online learning module within the Opening Real Science (ORS) project--"Modelling the present: Predicting the future." The module was realised through an interdisciplinary collaboration, among mathematicians, scientists and mathematics and science educators that…

Performance & Emotion--A Study on Adaptive E-Learning Based on Visual/Verbal Learning Styles

ERIC Educational Resources Information Center

Beckmann, Jennifer; Bertel, Sven; Zander, Steffi

2015-01-01

Adaptive e-Learning systems are able to adjust to a user's learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for e-Learning, furthered in part by the recent rapid increase in the use of MOOCs (Massive Open Online Courses). A lack of general, individual, and situational data…

The Impact and Promise of Open-Source Computational Material for Physics Teaching

NASA Astrophysics Data System (ADS)

Christian, Wolfgang

2017-01-01

A computer-based modeling approach to teaching must be flexible because students and teachers have different skills and varying levels of preparation. Learning how to run the ``software du jour'' is not the objective for integrating computational physics material into the curriculum. Learning computational thinking, how to use computation and computer-based visualization to communicate ideas, how to design and build models, and how to use ready-to-run models to foster critical thinking is the objective. Our computational modeling approach to teaching is a research-proven pedagogy that predates computers. It attempts to enhance student achievement through the Modeling Cycle. This approach was pioneered by Robert Karplus and the SCIS Project in the 1960s and 70s and later extended by the Modeling Instruction Program led by Jane Jackson and David Hestenes at Arizona State University. This talk describes a no-cost open-source computational approach aligned with a Modeling Cycle pedagogy. Our tools, curricular material, and ready-to-run examples are freely available from the Open Source Physics Collection hosted on the AAPT-ComPADRE digital library. Examples will be presented.

Open and Distance Learning: Alternative Approaches to the Delivery of Post-Secondary Education. An Identification of Trends, a Discussion of Issues, and a Review of Models. A Discussion Paper.

ERIC Educational Resources Information Center

Schweiger, Helmut

This report discusses forces that are shaping alternative approaches to the delivery of postsecondary education, particularly distance education and open learning. One of these forces is the ever-changing composition of the student body, whose demands are increasing and whose needs are becoming more disparate because of a more and more…

Low Data Drug Discovery with One-Shot Learning

PubMed Central

2017-01-01

Recent advances in machine learning have made significant contributions to drug discovery. Deep neural networks in particular have been demonstrated to provide significant boosts in predictive power when inferring the properties and activities of small-molecule compounds (Ma, J. et al. J. Chem. Inf. Model.2015, 55, 263–27425635324). However, the applicability of these techniques has been limited by the requirement for large amounts of training data. In this work, we demonstrate how one-shot learning can be used to significantly lower the amounts of data required to make meaningful predictions in drug discovery applications. We introduce a new architecture, the iterative refinement long short-term memory, that, when combined with graph convolutional neural networks, significantly improves learning of meaningful distance metrics over small-molecules. We open source all models introduced in this work as part of DeepChem, an open-source framework for deep-learning in drug discovery (Ramsundar, B. deepchem.io. https://github.com/deepchem/deepchem, 2016). PMID:28470045

Motivating Learners in Open and Distance Learning: Do We Need a New Theory of Learner Support?

ERIC Educational Resources Information Center

Simpson, Ormond

2008-01-01

This paper calls for a new theory of learner support in distance learning based on recent findings in the fields of learning and motivational psychology. It surveys some current learning motivation theories and proposes that models drawn from the relatively new field of Positive Psychology, such as the "Strengths Approach", together with…

Integration and Deployment of Educational Games in e-Learning Environments: The Learning Object Model Meets Educational Gaming

ERIC Educational Resources Information Center

Torrente, Javier; Moreno-Ger, Pablo; Martinez-Ortiz, Ivan; Fernandez-Manjon, Baltasar

2009-01-01

Game-based learning is becoming popular in the academic discussion of Learning Technologies. However, even though the educational potential of games has been thoroughly discussed in the literature, the integration of the games into educational processes and how to efficiently deliver the games to the students are still open questions. This paper…

A Structural Equation Model of Predictors of Online Learning Retention

ERIC Educational Resources Information Center

Lee, Youngju; Choi, Jaeho

2013-01-01

This study examined the effects of internal academic locus of control (ALOC), learning strategies, flow experience, and student satisfaction on student retention in online learning courses. A total number of 282 adult students at the Korea National Open University participated in the study by completing an online survey adopted from previous…

Business Models Associated with Distance Learning in Higher Education

ERIC Educational Resources Information Center

Wang, Shouhong; Wang, Hai

2017-01-01

Textbook prices are continuously rising in higher education. This paper analyzes a business model which makes commercial textbooks more expensive, and explains why this issue tends to be more severe in the field of distance learning in higher education. It reports a case of adoption of open educational resources (OER) textbook for an online course…

Diagram, a Learning Environment for Initiation to Object-Oriented Modeling with UML Class Diagrams

ERIC Educational Resources Information Center

Py, Dominique; Auxepaules, Ludovic; Alonso, Mathilde

2013-01-01

This paper presents Diagram, a learning environment for object-oriented modelling (OOM) with UML class diagrams. Diagram an open environment, in which the teacher can add new exercises without constraints on the vocabulary or the size of the diagram. The interface includes methodological help, encourages self-correcting and self-monitoring, and…

Representing Learning With Graphical Models

NASA Technical Reports Server (NTRS)

Buntine, Wray L.; Lum, Henry, Jr. (Technical Monitor)

1994-01-01

Probabilistic graphical models are being used widely in artificial intelligence, for instance, in diagnosis and expert systems, as a unified qualitative and quantitative framework for representing and reasoning with probabilities and independencies. Their development and use spans several fields including artificial intelligence, decision theory and statistics, and provides an important bridge between these communities. This paper shows by way of example that these models can be extended to machine learning, neural networks and knowledge discovery by representing the notion of a sample on the graphical model. Not only does this allow a flexible variety of learning problems to be represented, it also provides the means for representing the goal of learning and opens the way for the automatic development of learning algorithms from specifications.

Cultural evolution and individual development of openness and conservatism

PubMed Central

Acerbi, Alberto; Enquist, Magnus; Ghirlanda, Stefano

2009-01-01

We present a model of cultural evolution in which an individual's propensity to engage in social learning is affected by social learning itself. We assume that individuals observe cultural traits displayed by others and decide whether to copy them based on their overall preference for the displayed traits. Preferences, too, can be transmitted between individuals. Our results show that such cultural dynamics tends to produce conservative individuals, i.e., individuals who are reluctant to copy new traits. Openness to new information, however, can be maintained when individuals need significant time to acquire the cultural traits that make them effective cultural models. We show that a gradual enculturation of young individuals by many models and a larger cultural repertoire to be acquired are favorable circumstances for the long-term maintenance of openness in individuals and groups. Our results agree with data about lifetime personality change, showing that openness to new information decreases with age. Our results show that cultural remodeling of cultural transmission is a powerful force in cultural evolution, i.e., that cultural evolution can change its own dynamics. PMID:19858478

Computational modelling of memory retention from synapse to behaviour

NASA Astrophysics Data System (ADS)

van Rossum, Mark C. W.; Shippi, Maria

2013-03-01

One of our most intriguing mental abilities is the capacity to store information and recall it from memory. Computational neuroscience has been influential in developing models and concepts of learning and memory. In this tutorial review we focus on the interplay between learning and forgetting. We discuss recent advances in the computational description of the learning and forgetting processes on synaptic, neuronal, and systems levels, as well as recent data that open up new challenges for statistical physicists.

Migrating a lecture in nursing informatics to a blended learning format--A bottom-up approach to implement an open-source web-based learning management system.

PubMed

Schrader, Ulrich

2006-01-01

At the university of applied sciences in Germany a learning management system has been implemented. The migration of classic courses to a web-enhances curriculum can be categorized into three phases independent of the technology used. The first two phases "dedicated website" and "database supported content management system" are mainly concerned with bringing the learning material and current information online and making it available to the students. The goal is here to make the maintenance of the learning material easier. The third phase characterized by the use of a learning management system offers the support of more modern didactic principles like social constructionism or problem-oriented learning. In this papers the phases as they occurred with the migration of a course of nursing informatics are described and experiences discussed.. The absence of institutional goals associated with the use of a learning management system led to a bottom-up approach triggered by faculty activities that can be described by a promoter model rather than by a process management model. The use of an open source learning management systems made this process easier to realize since no financial commitment is required up front.

Investigating the Influences of a LEAPS Model on Preservice Teachers' Problem Solving, Metacognition, and Motivation in an Educational Technology Course

ERIC Educational Resources Information Center

Lubin, Ian A.; Ge, Xun

2012-01-01

This paper discusses a qualitative study which examined students' problem-solving, metacognition, and motivation in a learning environment designed for teaching educational technology to pre-service teachers. The researchers converted a linear and didactic learning environment into a new open learning environment by contextualizing domain-related…

Mining Individual Learning Topics in Course Reviews Based on Author Topic Model

ERIC Educational Resources Information Center

Liu, Sanya; Ni, Cheng; Liu, Zhi; Peng, Xian; Cheng, Hercy N. H.

2017-01-01

Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…

Computational intelligence in earth sciences and environmental applications: issues and challenges.

PubMed

Cherkassky, V; Krasnopolsky, V; Solomatine, D P; Valdes, J

2006-03-01

This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The issues of data quality, selection of the error function, incorporation of the predictive learning methods into the existing modeling frameworks, expert knowledge, model uncertainty, and other application-domain specific problems are discussed. A brief overview of the papers in the Special Issue is provided, followed by discussion of open issues and directions for future research.

The development of the learning video for the flipped classroom model on student of open university on human skeletal system and muscles

NASA Astrophysics Data System (ADS)

Andrini, V. S.

2018-05-01

The objectives of the research are to develop the learning video for the flipped classroom model for Open University’s student and to know the effectiveness of the video. The development of the video used Research and Development ADDIE design (Analyses, Design, Development, Implementation, Evaluation). The sampling used purposive sampling was 28 students in Open University of Nganjuk. The techniques of data collection were the observation data to know the problems of the students, and learning facilities, the test (pre-test and post-test) to know a knowledge aspect, a questionnaire to know advisability of video learning, a structured interview to confirm their answer. The result of the expert of matter and media showed that the average product score was 3.75 of 4 or very good, the small-scale test showed that the average score was 3.60 of 4 and the large-scale test showed that the average score was 3.80 of 4, it had a very good category. The t-test with paired sample test showed that sig. (2-tailed) < 0.05. The N-gain score of pre and post test was 0.55, it had the medium category. It can be concluded that the development of the learning video for flipped classroom was effective to be implemented.

Open Learning in the Community. A Collection of Conference Papers (Lancaster, England, March 1988).

ERIC Educational Resources Information Center

Hodgson, Vivien, Ed.; And Others

The 18 papers presented at the conference reported in this document are grouped into four major sections. The first section, on the nature of open learning, includes "How Open Is Open Learning?" (H. Temple); "Open Learning and Community" (I. Cunningham); "Are We Really Open--With Our Learners and Ourselves?" (W. J. K.…

The ORT Open Tech Robotics and Automation Literacy Course.

ERIC Educational Resources Information Center

Sharon, Dan; And Others

1987-01-01

Presents an overview of a course on robotics and automation developed by the Organization for Rehabilitation through Training (ORT) to be offered through an open learning environment in the United Kingdom. Highlights include hardware and software requirements, an educational model, design principles, and future developments. (LRW)

The Emergence of the Open Networked ``i-Learning'' Model

NASA Astrophysics Data System (ADS)

Elia, Gianluca

The most significant forces that are changing the business world and the society behaviors in this beginning of the twenty-first century can be identified into the globalization of the economy, technological evolution and convergence, change of the workers' expectations, workplace diversity and mobility, and mostly, knowledge and learning as major organizational assets. But which type of ­learning dynamics must be nurtured and pursued within the organizations, today, in order to generate valuable knowledge and its effective applications? After a brief discussion on the main changes observable in management, ICT and society/workplace in the last years, this chapter aims to answer to this question, through the proposition of the “Π-shaped” profile (a new professional archetype for leading change), and through the discussion of the open networked “i-Learning” model (a new framework to “incubate” innovation in learning processes). Actually, the “i” stands for “innovation” (to highlight the nature of the impact on traditional ­learning model), but also it stands for “incubation” (to underline the urgency to have new environments in which incubating new professional profiles). Specifically, the main key characteristics at the basis of the innovation of the learning processes will be ­presented and described, by highlighting the managerial, technological and societal aspects of their nature. A set of operational guidelines will be also ­provided to ­activate and sustain the innovation process, so implementing changes in the strategic dimensions of the model. Finally, the “i-Learning Radar” is presented as an operational tool to design, communicate and control an “i-Learning experience”. This tool is represented by a radar diagram with six strategic dimensions of a ­learning initiative.

Use of open-ended problems as the basis for the mathematical creativity growth disclosure of student

NASA Astrophysics Data System (ADS)

Suyitno, A.; Suyitno, H.; Rochmad; Dwijanto

2018-03-01

Mathematical creativity is the essence of learning in mathematics. However, mathematical creativity had not yet grown among students. Means there was a gap between needs and reality. This gap must be bridged through by scientific studies, and there were novelty findings, namely the discovery of stages to cultivate of Mathematical Creativity. The problem formulation: How to use of open-ended problems as the basis for the mathematical creativity growth disclosure of student? The goal was to use of open issues as the basis for the mathematical creativity growth disclosure of student. Research method with a qualitative approach. After data was collected then activity in data analysis, include data reduction, data presentation, data interpretation, and conclusion/verification. The results of the research: After the learning by applying the modification of RTTW learning model, then the students were trained to do the open-ended problems and by looking at the UTS and UAS values then qualitatively the results: (1) There was a significant increase of the student's final score. (2) The category of the growth of mathematical creativity of students, the Very Good there were three students, the Good there were six students, There were 17 students, and there were six students. The validation of these results was reinforced by interviews and triangulation. (3) Stage to cultivate mathematical creativity: lecturers should need to provide inputs on student work; Apply an appropriate learning model, and train students to work on the continuing problems.

Higher Education through Open and Distance Learning. World Review of Distance Education and Open Learning, Volume 1. A Commonwealth of Learning Series.

ERIC Educational Resources Information Center

Harry, Keith, Ed.

This book reports on the expansion of open and distance learning during the past decade, examining ways in which open and distance learning for higher education has responded to the needs of the new society, and summarizing the lessons of recent practice for policymakers and educators. After an introductory chapter, "Open and Distance…

MLBCD: a machine learning tool for big clinical data.

PubMed

Luo, Gang

2015-01-01

Predictive modeling is fundamental for extracting value from large clinical data sets, or "big clinical data," advancing clinical research, and improving healthcare. Machine learning is a powerful approach to predictive modeling. Two factors make machine learning challenging for healthcare researchers. First, before training a machine learning model, the values of one or more model parameters called hyper-parameters must typically be specified. Due to their inexperience with machine learning, it is hard for healthcare researchers to choose an appropriate algorithm and hyper-parameter values. Second, many clinical data are stored in a special format. These data must be iteratively transformed into the relational table format before conducting predictive modeling. This transformation is time-consuming and requires computing expertise. This paper presents our vision for and design of MLBCD (Machine Learning for Big Clinical Data), a new software system aiming to address these challenges and facilitate building machine learning predictive models using big clinical data. The paper describes MLBCD's design in detail. By making machine learning accessible to healthcare researchers, MLBCD will open the use of big clinical data and increase the ability to foster biomedical discovery and improve care.

Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model

ERIC Educational Resources Information Center

Brinton, Christopher G.; Chiang, Mung; Jain, Shaili; Lam, Henry; Liu, Zhenming; Wong, Felix Ming Fai

2014-01-01

We study user behavior in the courses offered by a major massive online open course (MOOC) provider during the summer of 2013. Since social learning is a key element of scalable education on MOOC and is done via online discussion forums, our main focus is on understanding forum activities. Two salient features of these activities drive our…

Is the Educational Technology Revolution Losing Steam? What Academic Leaders Can Do to Keep Us Moving Forward

ERIC Educational Resources Information Center

Miller, Michelle D.

2017-01-01

Educational technology has fueled a revolution in higher education. Technology-based models such as blended learning, fully online courses, online degree programs, and MOOCs (massive open online courses) are redefining what teaching looks like. They also greatly expand who gets to learn and where and when that learning can take place. The ed tech…

Stepping into the Unknown: Three Models for the Teaching and Learning of the Opening Sections of Scientific Articles

ERIC Educational Resources Information Center

Falk, Hedda; Yarden, Anat

2011-01-01

Different genres of scientific articles have begun to diffuse into science curricula. Among them, adapted primary literature (APL) retains the characteristics of scientific research articles, while adapting their contents to the knowledge level of students in the 11th to 12th grades. We present three models for the teaching and learning of the…

Working Towards a Scalable Model of Problem-Based Learning Instruction in Undergraduate Engineering Education

ERIC Educational Resources Information Center

Mantri, Archana

2014-01-01

The intent of the study presented in this paper is to show that the model of problem-based learning (PBL) can be made scalable by designing curriculum around a set of open-ended problems (OEPs). The detailed statistical analysis of the data collected to measure the effects of traditional and PBL instructions for three courses in Electronics and…

Positioning the OER Business Model for Open Education

ERIC Educational Resources Information Center

de Langen, F. H. T.; Bitter-Rijkema, M. E.

2012-01-01

The enabling power of technology, especially information technology and social software, prompts a radical shift in economic and social interactions in societies around the globe. Existing traditional school based, formalized learning formats are unable to accommodate specific new learning needs. Hence, customized to the respective purposes of…

Role of Open and Distance Education in Integrating Education with Development--Emerging Model of Networked Collaborative Learning and Net-working.

ERIC Educational Resources Information Center

Takwale, Ram

1998-01-01

Discusses the evolution of the educational system in India, developments in new communication technologies, and plans by the open and distance education system to develop educational networks. Policies and programs adopted by the Distance Education Council are outlined. (AEF)

Lessons learned from case studies of inhalation exposures of workers to radioactive aerosols

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hoover, M.D.; Fencl, A.F.; Newton, G.J.

1995-12-01

Various Department of Energy requirements, rules, and orders mandate that lessons learned be identified, evaluated, shared, and incorporated into current practices. The recently issued, nonmandatory DOE standard for Development of DOE Lessons Learned Program states that a DOE-wide lessons learned program will {open_quotes}help to prevent recurrences of negative experiences, highlight best practices, and spotlight innovative ways to solve problems or perform work more safely, efficiently, and cost effectively.{close_quotes} Additional information about the lessons learned program is contained in the recently issued DOE handbook on Implementing U.S. Department of Energy Lessons Learned Programs and in October 1995 DOE SAfety Notice onmore » Lessons Learned Programs. This report summarizes work in progress at ITRI to identify lessons learned for worker exposures to radioactive aerosols, and describes how this work will be incorporated into the DOE lessons learned program, including a new technical guide for measuring, modeling, and mitigating airborne radioactive particles. Follow-on work is focusing on preparation of {open_quotes}lessons learned{close_quotes} training materials for facility designers, managers, health protection professionals, line supervisors, and workers.« less

Improving the quality of learning in science through optimization of lesson study for learning community

NASA Astrophysics Data System (ADS)

Setyaningsih, S.

2018-03-01

Lesson Study for Learning Community is one of lecturer profession building system through collaborative and continuous learning study based on the principles of openness, collegiality, and mutual learning to build learning community in order to form professional learning community. To achieve the above, we need a strategy and learning method with specific subscription technique. This paper provides a description of how the quality of learning in the field of science can be improved by implementing strategies and methods accordingly, namely by applying lesson study for learning community optimally. Initially this research was focused on the study of instructional techniques. Learning method used is learning model Contextual teaching and Learning (CTL) and model of Problem Based Learning (PBL). The results showed that there was a significant increase in competence, attitudes, and psychomotor in the four study programs that were modelled. Therefore, it can be concluded that the implementation of learning strategies in Lesson study for Learning Community is needed to be used to improve the competence, attitude and psychomotor of science students.

Open source machine-learning algorithms for the prediction of optimal cancer drug therapies.

PubMed

Huang, Cai; Mezencev, Roman; McDonald, John F; Vannberg, Fredrik

2017-01-01

Precision medicine is a rapidly growing area of modern medical science and open source machine-learning codes promise to be a critical component for the successful development of standardized and automated analysis of patient data. One important goal of precision cancer medicine is the accurate prediction of optimal drug therapies from the genomic profiles of individual patient tumors. We introduce here an open source software platform that employs a highly versatile support vector machine (SVM) algorithm combined with a standard recursive feature elimination (RFE) approach to predict personalized drug responses from gene expression profiles. Drug specific models were built using gene expression and drug response data from the National Cancer Institute panel of 60 human cancer cell lines (NCI-60). The models are highly accurate in predicting the drug responsiveness of a variety of cancer cell lines including those comprising the recent NCI-DREAM Challenge. We demonstrate that predictive accuracy is optimized when the learning dataset utilizes all probe-set expression values from a diversity of cancer cell types without pre-filtering for genes generally considered to be "drivers" of cancer onset/progression. Application of our models to publically available ovarian cancer (OC) patient gene expression datasets generated predictions consistent with observed responses previously reported in the literature. By making our algorithm "open source", we hope to facilitate its testing in a variety of cancer types and contexts leading to community-driven improvements and refinements in subsequent applications.

Open Classroom: Distance Learning In and Out of Schools. Open and Distance Learning Series.

ERIC Educational Resources Information Center

Bradley, Jo, Ed.

This collection of essays, which is separated into 4 sections, concerns open and distance learning at school level, or grades K-12. The first section, "The Knowledge Society," includes the following chapters: "Classroom Open Learning: A Case of Old Wine in New Bottles?" (Jenkins); "Living and Learning in the Information…

Open Learning Materials and Learning Centres.

ERIC Educational Resources Information Center

Clarke, Alan; Walmsley, Joyce

The availability and nature of open learning materials and centers in Great Britain were examined in a study that focused on the following: the open learning market; learning materials; commercial suppliers; basic skills materials; information technology materials; online learning; information technology and tutors; qualifications; prices;…

A Systems Model Comparing Australian and Chinese HRM Education

ERIC Educational Resources Information Center

Davidson, Paul; Tsakissiris, Jane; Guo, Yuanyuan

2017-01-01

This paper explores the implications for learning design in HRM education in the 21st century. An open systems perspective is used to argue the importance of establishing productive relationships between academia, professional associations, regulators and industry (resource inputs) to support the creation of optimal learning environments (the…

Embedded Creativity: Teaching Design Thinking via Distance Education

ERIC Educational Resources Information Center

Lloyd, Peter

2013-01-01

This paper shows how the design thinking skills of students learning at a distance can be consciously developed, and deliberately applied outside of the creative industries in what are termed 'embedded' contexts. The distance learning model of education pioneered by The Open University is briefly described before the technological…

Learning from MOOCs: A Qualitative Case Study from the Learners' Perspectives

ERIC Educational Resources Information Center

Park, Yeonjeong; Jung, Insung; Reeves, Thomas C.

2015-01-01

This study describes the massive open online course (MOOC) experiences of three educational technology scholars assuming the roles of learners. Adapting Carroll's model of school learning as a theoretical framework, the study employed an autoethnography method to collect empirical data in three different MOOCs. Data analysis from regularly…

Ditching the Desks: Kinesthetic Learning in College Classrooms

ERIC Educational Resources Information Center

Mobley, Kayce; Fisher, Sarah

2014-01-01

In this article we argue that social science instructors at all levels should openly embrace kinesthetic learning as an everyday pedagogical tool. The standard model of instruction at the college level relies on lecture, perhaps with special alternative activities (e.g., simulations) scattered throughout each semester. We argue that students…

Why Mobile Is a Must

ERIC Educational Resources Information Center

McCaffrey, Mary

2011-01-01

There is a need for a new educational model that makes learning personal and motivating, and helps secure students' future in the knowledge economy. Mobile technology opens the door to it. Mobile devices provide the platform and, as importantly, the incentive for students to take personal ownership of the learning experience. The lessons absorbed…

Error Discounting in Probabilistic Category Learning

PubMed Central

Craig, Stewart; Lewandowsky, Stephan; Little, Daniel R.

2011-01-01

Some current theories of probabilistic categorization assume that people gradually attenuate their learning in response to unavoidable error. However, existing evidence for this error discounting is sparse and open to alternative interpretations. We report two probabilistic-categorization experiments that investigated error discounting by shifting feedback probabilities to new values after different amounts of training. In both experiments, responding gradually became less responsive to errors, and learning was slowed for some time after the feedback shift. Both results are indicative of error discounting. Quantitative modeling of the data revealed that adding a mechanism for error discounting significantly improved the fits of an exemplar-based and a rule-based associative learning model, as well as of a recency-based model of categorization. We conclude that error discounting is an important component of probabilistic learning. PMID:21355666

Low Data Drug Discovery with One-Shot Learning.

PubMed

Altae-Tran, Han; Ramsundar, Bharath; Pappu, Aneesh S; Pande, Vijay

2017-04-26

Recent advances in machine learning have made significant contributions to drug discovery. Deep neural networks in particular have been demonstrated to provide significant boosts in predictive power when inferring the properties and activities of small-molecule compounds (Ma, J. et al. J. Chem. Inf. 2015, 55, 263-274). However, the applicability of these techniques has been limited by the requirement for large amounts of training data. In this work, we demonstrate how one-shot learning can be used to significantly lower the amounts of data required to make meaningful predictions in drug discovery applications. We introduce a new architecture, the iterative refinement long short-term memory, that, when combined with graph convolutional neural networks, significantly improves learning of meaningful distance metrics over small-molecules. We open source all models introduced in this work as part of DeepChem, an open-source framework for deep-learning in drug discovery (Ramsundar, B. deepchem.io. https://github.com/deepchem/deepchem, 2016).

Machine Learning Prediction of the Energy Gap of Graphene Nanoflakes Using Topological Autocorrelation Vectors.

PubMed

Fernandez, Michael; Abreu, Jose I; Shi, Hongqing; Barnard, Amanda S

2016-11-14

The possibility of band gap engineering in graphene opens countless new opportunities for application in nanoelectronics. In this work, the energy gaps of 622 computationally optimized graphene nanoflakes were mapped to topological autocorrelation vectors using machine learning techniques. Machine learning modeling revealed that the most relevant correlations appear at topological distances in the range of 1 to 42 with prediction accuracy higher than 80%. The data-driven model can statistically discriminate between graphene nanoflakes with different energy gaps on the basis of their molecular topology.

Innovation in Open & Distance Learning: Successful Development of Online and Web-Based Learning.

ERIC Educational Resources Information Center

Lockwood, Fred, Ed.; Gooley, Anne, Ed.

This book contains 19 papers examining innovation in open and distance learning through development of online and World Wide Web-based learning. The following papers are included: "Innovation in Distributed Learning: Creating the Environment" (Fred Lockwood); "Innovation in Open and Distance Learning: Some Lessons from Experience…

Imaging, Imagining Knowledge in Higher Education Curricula: New Visions and Troubled Thresholds

ERIC Educational Resources Information Center

Parker, Jan

2013-01-01

It is urgent that we re-examine models of knowledge and knowledge-making within the university, at this time of open learning and deregulated multi-million dollar and euro open science hubs and portals. For otherwise, we are bound into "crude" instrumentalism, "delivering" "knowledge packets" rather than seeing our…

Quality Assurance in Asian Open and Distance Learning: Policies and Implementation

ERIC Educational Resources Information Center

Darojat, Ojat; Nilson, Michelle; Kaufman, David

2015-01-01

Open universities have emerged as an innovative pillar in the expansion of access to higher education participation, with single-mode distance education providers broadening access in many countries through economies of scale supported by large enrolments. These models raise questions about the quality of education provided. This paper reports on…

A Path Analysis of Educator Perceptions of Open Educational Resources Using the Technology Acceptance Model

ERIC Educational Resources Information Center

Kelly, Hope

2014-01-01

Open educational resources (OER) are making their way into a variety of educational contexts from formal lesson planning to just in time learning. Educators and training professionals have been recognized as an important audience for these materials. The concepts of "self-efficacy" and "outcome judgment" from social cognitive…

Bringing Open Educational Practice to a Research-Intensive University: Prospects and Challenges

ERIC Educational Resources Information Center

Masterman, Elizabeth

2016-01-01

This article describes a small-scale study that explored the relationship between the pedagogical practices characterised as "open" and the existing model of undergraduate teaching and learning at a large research-intensive university (RIU). The aim was to determine the factors that might enable (conversely impede) the greater uptake of…

The Targeted Open Online Course (TOOC) Model

ERIC Educational Resources Information Center

Baker, Credence; Gentry, James

2014-01-01

In an era of increasingly hyped Massive Open Online Courses (MOOCs) that seem to evoke feelings of both promise and peril for higher education, many institutions are struggling to find their niche among top-tier Ivy League schools offering courses to thousands of participants for free. While the effectiveness of MOOCs in terms of learning outcomes…

Modelling of Operative Report Documents for Data Integration into an openEHR-Based Enterprise Data Warehouse.

PubMed

Haarbrandt, Birger; Wilschko, Andreas; Marschollek, Michael

2016-01-01

In order to integrate operative report documents from two operating room management systems into a data warehouse, we investigated the application of the two-level modelling approach of openEHR to create a shared data model. Based on the systems' analyses, a template consisting of 13 archetypes has been developed. Of these 13 archetypes, 3 have been obtained from the international archetype repository of the openEHR foundation. The remaining 10 archetypes have been newly created. The template was evaluated by an application system expert and through conducting a first test mapping of real-world data from one of the systems. The evaluation showed that by using the two-level modelling approach of openEHR, we succeeded to represent an integrated and shared information model for operative report documents. More research is needed to learn about the limitations of this approach in other data integration scenarios.

Is Multitask Deep Learning Practical for Pharma?

PubMed

Ramsundar, Bharath; Liu, Bowen; Wu, Zhenqin; Verras, Andreas; Tudor, Matthew; Sheridan, Robert P; Pande, Vijay

2017-08-28

Multitask deep learning has emerged as a powerful tool for computational drug discovery. However, despite a number of preliminary studies, multitask deep networks have yet to be widely deployed in the pharmaceutical and biotech industries. This lack of acceptance stems from both software difficulties and lack of understanding of the robustness of multitask deep networks. Our work aims to resolve both of these barriers to adoption. We introduce a high-quality open-source implementation of multitask deep networks as part of the DeepChem open-source platform. Our implementation enables simple python scripts to construct, fit, and evaluate sophisticated deep models. We use our implementation to analyze the performance of multitask deep networks and related deep models on four collections of pharmaceutical data (three of which have not previously been analyzed in the literature). We split these data sets into train/valid/test using time and neighbor splits to test multitask deep learning performance under challenging conditions. Our results demonstrate that multitask deep networks are surprisingly robust and can offer strong improvement over random forests. Our analysis and open-source implementation in DeepChem provide an argument that multitask deep networks are ready for widespread use in commercial drug discovery.

Occasional Papers in Open and Distance Learning, Number 13.

ERIC Educational Resources Information Center

Donnan, Peter, Ed.

Each of the four papers in this collection is concerned with open learning in one form or another. "Open Learning: Some Current Perspectives" (Ian Barnard) addresses the topic of open learning in general, commenting on contemporary views and developments, and defining the term as a collective for approaches and practices that focus on…

Towards Adaptive Open Learning Environments: Evaluating the Precision of Identifying Learning Styles by Tracking Learners' Behaviours

ERIC Educational Resources Information Center

Fasihuddin, Heba; Skinner, Geoff; Athauda, Rukshan

2017-01-01

Open learning represents a new form of online learning where courses are provided freely online for large numbers of learners. MOOCs are examples of this form of learning. The authors see an opportunity for personalising open learning environments by adapting to learners' learning styles and providing adaptive support to meet individual learner…

Can an old dog learn (and want to experience) new tricks? Cognitive training increases openness to experience in older adults

PubMed Central

Jackson, Joshua J.; Hill, Patrick L.; Payne, Brennan R.; Roberts, Brent W.; Stine-Morrow, Elizabeth A. L.

2012-01-01

The present study investigated whether an intervention aimed to increase cognitive ability in older adults also changes the personality trait of openness to experience. Older adults completed a 16-week program in inductive reasoning training supplemented by weekly crossword and Sudoku puzzles. Changes in openness to experience were modeled across four assessments over 30 weeks using latent growth curve models. Results indicate that participants in the intervention condition increased in the trait of openness compared to a waitlist control group. The study is one of the first to demonstrate that personality traits can change through non-psychopharmocological interventions. PMID:22251379

Teaching, Learning, and Sharing Openly Online

ERIC Educational Resources Information Center

O'Byrne, W. Ian; Roberts, Verena; LaBonte, Randy; Graham, Lee

2015-01-01

Open learning is becoming a critical focus for K-12 technology-supported programs as the importance of digital literacy and digital freedoms for all learners grows. This article describes current open learning policy, open educational resources and potential implications for open practice and ends with suggestions for future research in open…

Managing Teaching and Learning in Further and Higher Education.

ERIC Educational Resources Information Center

Ashcroft, Kate; Foreman-Peck, Lorraine

This book addresses the practical management of higher education teaching and learning as it is related to any subject. The volume stresses principles of the reflective practitioner model--open-mindedness, responsibility, and wholeheartedness. Chapter 1 introduces the book and its concept of teaching as a management process. Chapter 2 focuses on…

PALs: Fostering Student Engagement and Interactive Learning

ERIC Educational Resources Information Center

Hancock, Thomas; Smith, Stella; Timpte, Candace; Wunder, Jennifer

2010-01-01

Georgia Gwinnett College (GGC) opened its doors in 2006 and accepted its inaugural class of first-year students in 2007. During the 2007-2008 academic year, faculty members and administrators worked together to develop a model for Partners in Active Learning, or PALs--an initiative designed to fit the GGC vision and mission to build an…

Learning about Language and Learners from Computer Programs

ERIC Educational Resources Information Center

Cobb, Tom

2010-01-01

Making Nation's text analysis software accessible via the World Wide Web has opened up an exploration of how his learning principles can best be realized in practice. This paper discusses 3 representative episodes in the ongoing exploration. The first concerns an examination of the assumptions behind modeling what texts look like to learners with…

GeoGebra in Professional Development: The Experience of Rural Inservice Elementary School (K-8) Teachers

ERIC Educational Resources Information Center

Bu, Ligguo; Mumba, Frackson; Henson, Harvey; Wright, Mary

2013-01-01

GeoGebra is an emergent open-source Dynamic and Interactive Mathematics Learning Environment (DIMLE) (Martinovic & Karadag, 2012) that invites a modeling perspective in mathematics teaching and learning. In springs of 2010 and 2012, GeoGebra was integrated respectively into two online professional development courses on mathematical problem…

Peer-Led Learning Communities: Exploring Integrative High-Impact Educational Practices for Leadership Education

ERIC Educational Resources Information Center

Priest, Kerry L.; de Campos Paula, Ana Luiza

2016-01-01

The use of high-impact practices is well documented in higher education literature. This brief describes the integrative practice of undergraduate peer-led leadership learning communities as a model of delivery within a large introductory leadership education course for first-year students. Utilizing open-ended questions embedded within…

Blended Learning Model: Development and Implementation in a Computer Skills Course

ERIC Educational Resources Information Center

Tshuma, N.

2012-01-01

South Africa's higher education policies have opened up access to university for students from diverse backgrounds, with different learning styles, levels of motivation and levels of preparedness. This has necessitated a move from the lecture style of teaching to innovative teaching styles that engage the learners and equip them with skills to…

Model-Free control performance improvement using virtual reference feedback tuning and reinforcement Q-learning

NASA Astrophysics Data System (ADS)

Radac, Mircea-Bogdan; Precup, Radu-Emil; Roman, Raul-Cristian

2017-04-01

This paper proposes the combination of two model-free controller tuning techniques, namely linear virtual reference feedback tuning (VRFT) and nonlinear state-feedback Q-learning, referred to as a new mixed VRFT-Q learning approach. VRFT is first used to find stabilising feedback controller using input-output experimental data from the process in a model reference tracking setting. Reinforcement Q-learning is next applied in the same setting using input-state experimental data collected under perturbed VRFT to ensure good exploration. The Q-learning controller learned with a batch fitted Q iteration algorithm uses two neural networks, one for the Q-function estimator and one for the controller, respectively. The VRFT-Q learning approach is validated on position control of a two-degrees-of-motion open-loop stable multi input-multi output (MIMO) aerodynamic system (AS). Extensive simulations for the two independent control channels of the MIMO AS show that the Q-learning controllers clearly improve performance over the VRFT controllers.

The Research on Informal Learning Model of College Students Based on SNS and Case Study

NASA Astrophysics Data System (ADS)

Lu, Peng; Cong, Xiao; Bi, Fangyan; Zhou, Dongdai

2017-03-01

With the rapid development of network technology, informal learning based on online become the main way for college students to learn a variety of subject knowledge. The favor to the SNS community of students and the characteristics of SNS itself provide a good opportunity for the informal learning of college students. This research first analyzes the related research of the informal learning and SNS, next, discusses the characteristics of informal learning and theoretical basis. Then, it proposed an informal learning model of college students based on SNS according to the support role of SNS to the informal learning of students. Finally, according to the theoretical model and the principles proposed in this study, using the Elgg and related tools which is the open source SNS program to achieve the informal learning community. This research is trying to overcome issues such as the lack of social realism, interactivity, resource transfer mode in the current network informal learning communities, so as to provide a new way of informal learning for college students.

Supporting Professional Learning in a Massive Open Online Course

ERIC Educational Resources Information Center

Milligan, Colin; Littlejohn, Allison

2014-01-01

Professional learning, combining formal and on the job learning, is important for the development and maintenance of expertise in the modern workplace. To integrate formal and informal learning, professionals have to have good self-regulatory ability. Formal learning opportunities are opening up through massive open online courses (MOOCs),…

Implementing a 3D printing service in a biomedical library

PubMed Central

Walker, Verma

2017-01-01

Three-dimensional (3D) printing is opening new opportunities in biomedicine by enabling creative problem solving, faster prototyping of ideas, advances in tissue engineering, and customized patient solutions. The National Institutes of Health (NIH) Library purchased a Makerbot Replicator 2 3D printer to give scientists a chance to try out this technology. To launch the service, the library offered training, conducted a survey on service model preferences, and tracked usage and class attendance. 3D printing was very popular, with new lab equipment prototypes being the most common model type. Most survey respondents indicated they would use the service again and be willing to pay for models. There was high interest in training for 3D modeling, which has a steep learning curve. 3D printers also require significant care and repairs. NIH scientists are using 3D printing to improve their research, and it is opening new avenues for problem solving in labs. Several scientists found the 3D printer so helpful they bought one for their labs. Having a printer in a central and open location like a library can help scientists, doctors, and students learn how to use this technology in their work. PMID:28096747

Implementing a 3D printing service in a biomedical library.

PubMed

Walker, Verma

2017-01-01

Three-dimensional (3D) printing is opening new opportunities in biomedicine by enabling creative problem solving, faster prototyping of ideas, advances in tissue engineering, and customized patient solutions. The National Institutes of Health (NIH) Library purchased a Makerbot Replicator 2 3D printer to give scientists a chance to try out this technology. To launch the service, the library offered training, conducted a survey on service model preferences, and tracked usage and class attendance. 3D printing was very popular, with new lab equipment prototypes being the most common model type. Most survey respondents indicated they would use the service again and be willing to pay for models. There was high interest in training for 3D modeling, which has a steep learning curve. 3D printers also require significant care and repairs. NIH scientists are using 3D printing to improve their research, and it is opening new avenues for problem solving in labs. Several scientists found the 3D printer so helpful they bought one for their labs. Having a printer in a central and open location like a library can help scientists, doctors, and students learn how to use this technology in their work.

Understanding Motivational System in Open Learning: Learners' Engagement with a Traditional Chinese-Based Open Educational Resource System

ERIC Educational Resources Information Center

Huang, Wenhao David; Wu, Chorng-Guang

2017-01-01

Learning has embraced the "open" process in recent years, as many educational resources are made available for free online. Existing research, however, has not provided sufficient evidence to systematically improve open learning interactions and engagement in open educational resource (OER) systems. This deficiency presents two…

Adaptive Comparative Judgment as a Tool for Assessing Open-Ended Design Problems and Model Eliciting Activities

ERIC Educational Resources Information Center

Bartholomew, Scott R.; Nadelson, Louis S.; Goodridge, Wade H.; Reeve, Edward M.

2018-01-01

We investigated the use of adaptive comparative judgment to evaluate the middle school student learning, engagement, and experience with the design process in an open-ended problem assigned in a technology and engineering education course. Our results indicate that the adaptive comparative judgment tool effectively facilitated the grading of the…

A New Framework for Massive Open Online Courses (MOOCs)

ERIC Educational Resources Information Center

Schoenack, Lindsie

2013-01-01

The challenges that massive open online courses (MOOCs) bring to the learning arena spur adult educators to improve delivery. A framework for a new type of MOOC is presented to address some of the challenges presented by earlier models. This new MOOC, called a mesoMOOC, can bridge several challenges that hinder current effective delivery of MOOCs…

Locating the "I" in the Teaching of Death and Dying: Challenges of the Open Distance Learning Model

ERIC Educational Resources Information Center

Watts, Jacqueline H.

2007-01-01

The UK Open University's second-level undergraduate course "Death and Dying" (K260) draws on personal and professional experience to explore the issues of loss, care, ethical practice, communication and grief. Students come from diverse occupational backgrounds (nurses, social workers, medical practitioners) but many study K260 for…

Mathematics Teaching and Learning in Rural Contexts: A Social Systems Perspective. Working Paper.

ERIC Educational Resources Information Center

Arnold, Michael L.

Mathematics education is different in rural schools than in non-rural schools. An explanation for this can be found in an open social systems model of schools, in which schools are comprised of interdependent subsystems that function together to transform inputs into outcomes. These are open systems in that external forces in the environment…

Model-Based Reinforcement of Kinect Depth Data for Human Motion Capture Applications

PubMed Central

Calderita, Luis Vicente; Bandera, Juan Pedro; Bustos, Pablo; Skiadopoulos, Andreas

2013-01-01

Motion capture systems have recently experienced a strong evolution. New cheap depth sensors and open source frameworks, such as OpenNI, allow for perceiving human motion on-line without using invasive systems. However, these proposals do not evaluate the validity of the obtained poses. This paper addresses this issue using a model-based pose generator to complement the OpenNI human tracker. The proposed system enforces kinematics constraints, eliminates odd poses and filters sensor noise, while learning the real dimensions of the performer's body. The system is composed by a PrimeSense sensor, an OpenNI tracker and a kinematics-based filter and has been extensively tested. Experiments show that the proposed system improves pure OpenNI results at a very low computational cost. PMID:23845933

Imitation by combination: preschool age children evidence summative imitation in a novel problem-solving task.

PubMed

Subiaul, Francys; Krajkowski, Edward; Price, Elizabeth E; Etz, Alexander

2015-01-01

Children are exceptional, even 'super,' imitators but comparatively poor independent problem-solvers or innovators. Yet, imitation and innovation are both necessary components of cumulative cultural evolution. Here, we explored the relationship between imitation and innovation by assessing children's ability to generate a solution to a novel problem by imitating two different action sequences demonstrated by two different models, an example of imitation by combination, which we refer to as "summative imitation." Children (N = 181) from 3 to 5 years of age and across three experiments were tested in a baseline condition or in one of six demonstration conditions, varying in the number of models and opening techniques demonstrated. Across experiments, more than 75% of children evidenced summative imitation, opening both compartments of the problem box and retrieving the reward hidden in each. Generally, learning different actions from two different models was as good (and in some cases, better) than learning from 1 model, but the underlying representations appear to be the same in both demonstration conditions. These results show that summative imitation not only facilitates imitation learning but can also result in new solutions to problems, an essential feature of innovation and cumulative culture.

Open Education 2030: Planning the Future of Adult Learning in Europe

ERIC Educational Resources Information Center

Castaño Muñoz, Jonatan; Redecker, Christine; Vuorikari, Riina; Punie, Yves

2013-01-01

Adult learning and open education have become key elements on the European Agenda. This paper presents the first results of a foresight activity that aims to contribute to an understanding of how "Opening up Education" can improve adult learning in Europe in the future. It argues that to open up adult learning two main challenges must be…

The OpenForest Portal as an Open Learning Ecosystem: Co-Developing in the Study of a Multidisciplinary Phenomenon in a Cultural Context

ERIC Educational Resources Information Center

Liljeström, Anu; Enkenberg, Jorma; Vanninen, Petteri; Vartiainen, Henriikka; Pöllänen, Sinikka

2014-01-01

This paper discusses the OpenForest portal and its related multidisciplinary learning project. The OpenForest portal is an open learning environment and ecosystem, in which students can participate in co-developing and co-creating practices. The aim of the OpenForest ecosystem is to create an extensive interactive network of diverse learning…

The TENCompetence Infrastructure: A Learning Network Implementation

NASA Astrophysics Data System (ADS)

Vogten, Hubert; Martens, Harrie; Lemmers, Ruud

The TENCompetence project developed a first release of a Learning Network infrastructure to support individuals, groups and organisations in professional competence development. This infrastructure Learning Network infrastructure was released as open source to the community thereby allowing users and organisations to use and contribute to this development as they see fit. The infrastructure consists of client applications providing the user experience and server components that provide the services to these clients. These services implement the domain model (Koper 2006) by provisioning the entities of the domain model (see also Sect. 18.4) and henceforth will be referenced as domain entity services.

Implementation of a flipped classroom approach to promote active learning in the third-year surgery clerkship.

PubMed

Lewis, Catherine E; Chen, David C; Relan, Anju

2018-02-01

Constructivist student-centered instructional models such as the flipped classroom (FC) have been shown to improve learning. A FC approach was implemented for the surgery clerkship. Data was collected in phase 1 to evaluate student learning and attitudes. Based on these results, questions for the phase 2 open-ended survey were developed to improve understanding of learner attitudes, and ascertain how well the FC aligns with constructivist principles. There was no significant difference in shelf exam performance between the control and intervention groups. A majority of students agreed that they preferred the FC over lectures, and that their learning improved. Open-ended survey analysis demonstrated that the FC fostered self-directed, active learning, and that the in-class sessions facilitated application of concepts and deeper learning. Areas identified for improvement included better alignment with learning preferences through greater variety of pre-class learning options, improvement of podcast technical quality, and utilization of smaller in-class discussion groups. Students had a positive perception of the FC. The FC supports self-directed and more active and deeper in-class learning. Copyright © 2017 Elsevier Inc. All rights reserved.

Critically reflective work behavior of health care professionals.

PubMed

Groot, Esther de; Jaarsma, Debbie; Endedijk, Maaike; Mainhard, Tim; Lam, Ineke; Simons, Robert-Jan; Beukelen, Peter van

2012-01-01

Better understanding of critically reflective work behavior (CRWB), an approach for work-related informal learning, is important in order to gain more profound insight in the continuing development of health care professionals. A survey, developed to measure CRWB and its predictors, was distributed to veterinary professionals. The authors specified a model relating CRWB to a Perceived Need for Lifelong Learning, Perceived Workload, and Opportunities for Feedback. Furthermore, research utilization was added to the concept of CRWB. The model was tested against the data, using structural equation modeling (SEM). The model was well represented by the data. Four factors that reflect aspects of CRWB were distinguished: (1) individual CRWB; (2) being critical in interactions with others; (3) cross-checking of information; and (4) openness to new findings. The latter 2 originated from the factor research utilization in CRWB. The Perceived Need for Lifelong Learning predicts CRWB. Neither Perceived Workload nor Opportunities for Feedback of other practitioners was related to CRWB. The results suggest that research utilization, such as cross-checking information and openness to new findings, is essential for CRWB. Furthermore, perceptions of the need for lifelong learning are more relevant for CRWB of health care professionals than qualities of the workplace. Copyright © 2012 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on CME, Association for Hospital Medical Education.

Using Tracker as a Pedagogical Tool for Understanding Projectile Motion

ERIC Educational Resources Information Center

Wee, Loo Kang; Chew, Charles; Goh, Giam Hwee; Tan, Samuel; Lee, Tat Leong

2012-01-01

This article reports on the use of Tracker as a pedagogical tool in the effective learning and teaching of projectile motion in physics. When a computer model building learning process is supported and driven by video analysis data, this free Open Source Physics tool can provide opportunities for students to engage in active enquiry-based…

Advancing Teacher Technology Education Using Open-Ended Learning Environments as Research and Training Platforms

ERIC Educational Resources Information Center

Poitras, Eric; Doleck, Tenzin; Huang, Lingyun; Li, Shan; Lajoie, Susanne

2017-01-01

A primary concern of teacher technology education is for pre-service teachers to develop a sophisticated mental model of the affordances of technology that facilitates both teaching and learning with technology. One of the main obstacles to developing the requisite technological pedagogical content knowledge is the inherent challenge faced by…

Modeling Learners' Social Centrality and Performance through Language and Discourse

ERIC Educational Resources Information Center

Dowell, Nia M.; Skrypnyk, Oleksandra; Joksimovic, Srecko; Graesser, Arthur C.; Dawson, Shane; Gaševic, Dragan; Hennis, Thieme A.; de Vries, Pieter; Kovanovic, Vitomir

2015-01-01

There is an emerging trend in higher education for the adoption of massive open online courses (MOOCs). However, despite this interest in learning at scale, there has been limited work investigating the impact MOOCs can play on student learning. In this study, we adopt a novel approach, using language and discourse as a tool to explore its…

Exploring the Factors Affecting Learners' Continuance Intention of MOOCs for Online Collaborative Learning: An Extended ECM Perspective

ERIC Educational Resources Information Center

Junjie, Zhou

2017-01-01

The purpose of this paper was to investigate what factors influence learners' continuance intention in massive open online courses (MOOCs) for online collaborative learning. An extended expectation confirmation model (ECM) was adopted as the theoretical foundation. A total of 435 valid samples were collected in mainland China and structural…

The Kentucky Community and Technical College System Learn on Demand Model

ERIC Educational Resources Information Center

McCall, Michael B.

2013-01-01

When colleges turned to online learning, they opened the door for a number of students who might have only dreamed of pursuing a degree or credential. In 2006, the Kentucky Community and Technical College System (KCTCS) surveyed prospective adult students without a college degree and discovered that they were three times more likely to enroll in…

Learner Control, User Characteristics, Platform Difference, and Their Role in Adoption Intention for MOOC Learning in China

ERIC Educational Resources Information Center

Zhang, Min; Yin, Shuaijun; Luo, Meifen; Yan, Weiwei

2017-01-01

Massive open online course (MOOC) learning attracts more and more attention in both the practice and the research field. Finding out what factors influence learners' MOOC adoption is of great importance. This study focuses on learner control, user characteristics and platform difference. Hypotheses and a research model are proposed by…

Virtual Patients in Primary Care: Developing a Reusable Model That Fosters Reflective Practice and Clinical Reasoning

PubMed Central

Zary, Nabil; Björklund, Karin; Toth-Pal, Eva; Leanderson, Charlotte

2014-01-01

Background Primary care is an integral part of the medical curriculum at Karolinska Institutet, Sweden. It is present at every stage of the students’ education. Virtual patients (VPs) may support learning processes and be a valuable complement in teaching communication skills, patient-centeredness, clinical reasoning, and reflective thinking. Current literature on virtual patients lacks reports on how to design and use virtual patients with a primary care perspective. Objective The objective of this study was to create a model for a virtual patient in primary care that facilitates medical students’ reflective practice and clinical reasoning. The main research question was how to design a virtual patient model with embedded process skills suitable for primary care education. Methods The VP model was developed using the Open Tufts University Sciences Knowledgebase (OpenTUSK) virtual patient system as a prototyping tool. Both the VP model and the case created using the developed model were validated by a group of 10 experienced primary care physicians and then further improved by a work group of faculty involved in the medical program. The students’ opinions on the VP were investigated through focus group interviews with 14 students and the results analyzed using content analysis. Results The VP primary care model was based on a patient-centered model of consultation modified according to the Calgary-Cambridge Guides, and the learning outcomes of the study program in medicine were taken into account. The VP primary care model is based on Kolb’s learning theories and consists of several learning cycles. Each learning cycle includes a didactic inventory and then provides the student with a concrete experience (video, pictures, and other material) and preformulated feedback. The students’ learning process was visualized by requiring the students to expose their clinical reasoning and reflections in-action in every learning cycle. Content analysis of the focus group interviews showed good acceptance of the model by students. The VP was regarded as an intermediate learning activity and a complement to both the theoretical and the clinical part of the education, filling out gaps in clinical knowledge. The content of the VP case was regarded as authentic and the students appreciated the immediate feedback. The students found the structure of the model interactive and easy to follow. The students also reported that the VP case supported their self-directed learning and reflective ability. Conclusions We have built a new VP model for primary care with embedded communication training and iterated learning cycles that in pilot testing showed good acceptance by students, supporting their self-directed learning and reflective thinking. PMID:24394603

MOOCs

ERIC Educational Resources Information Center

Mallon, Melissa, Ed.

2013-01-01

Perhaps due to a commitment to lifelong learning, librarians are often willing participants in trying new technologies or service models that may benefit their patrons. Such an opportunity presents itself with massively open online courses, or MOOCs. This educational model, which has been gaining popularity in higher education since the first MOOC…

Open Badges: Novel Means to Motivate, Scaffold and Recognize Learning

ERIC Educational Resources Information Center

Jovanovic, Jelena; Devedzic, Vladan

2015-01-01

This report is centered on the emerging concept and technology of Open Badges (OBs) that are offering novel means and practices of motivating, scaffolding, recognizing, and credentialing learning. OBs are closely associated with values such as openness and learners' agency, participatory learning and peer-learning communities. This report points…

Evaluating the Validity and Applicability of Automated Essay Scoring in Two Massive Open Online Courses

ERIC Educational Resources Information Center

Reilly, Erin Dawna; Stafford, Rose Eleanore; Williams, Kyle Marie; Corliss, Stephanie Brooks

2014-01-01

The use of massive open online courses (MOOCs) to expand students' access to higher education has raised questions regarding the extent to which this course model can provide and assess authentic, higher level student learning. In response to this need, MOOC platforms have begun utilizing automated essay scoring (AES) systems that allow…

Superlative Model Using Word Cloud for Short Answers Evaluation in eLearning

ERIC Educational Resources Information Center

Jayashankar, Shailaja; Sridaran, R.

2017-01-01

Teachers are thrown open to abundance of free text answers which are very daunting to read and evaluate. Automatic assessments of open ended answers have been attempted in the past but none guarantees 100% accuracy. In order to deal with the overload involved in this manual evaluation, a new tool becomes necessary. The unique superlative model…

Can Mimetics, a Theatre-Based Practice, Open Possibilities for Young People with Learning Disabilities? A Capability Approach

ERIC Educational Resources Information Center

Trowsdale, Jo; Hayhow, Richard

2013-01-01

While the significance of the social model of disability for articulating inclusive approaches in education is recognised, the application of capability theory to education is less well developed. This article by Jo Trowsdale of the University of Warwick and Richard Hayhow of Open Theatre considers how a particular theatre-based practice, here…

The power of associative learning and the ontogeny of optimal behaviour.

PubMed

Enquist, Magnus; Lind, Johan; Ghirlanda, Stefano

2016-11-01

Behaving efficiently (optimally or near-optimally) is central to animals' adaptation to their environment. Much evolutionary biology assumes, implicitly or explicitly, that optimal behavioural strategies are genetically inherited, yet the behaviour of many animals depends crucially on learning. The question of how learning contributes to optimal behaviour is largely open. Here we propose an associative learning model that can learn optimal behaviour in a wide variety of ecologically relevant circumstances. The model learns through chaining, a term introduced by Skinner to indicate learning of behaviour sequences by linking together shorter sequences or single behaviours. Our model formalizes the concept of conditioned reinforcement (the learning process that underlies chaining) and is closely related to optimization algorithms from machine learning. Our analysis dispels the common belief that associative learning is too limited to produce 'intelligent' behaviour such as tool use, social learning, self-control or expectations of the future. Furthermore, the model readily accounts for both instinctual and learned aspects of behaviour, clarifying how genetic evolution and individual learning complement each other, and bridging a long-standing divide between ethology and psychology. We conclude that associative learning, supported by genetic predispositions and including the oft-neglected phenomenon of conditioned reinforcement, may suffice to explain the ontogeny of optimal behaviour in most, if not all, non-human animals. Our results establish associative learning as a more powerful optimizing mechanism than acknowledged by current opinion.

The power of associative learning and the ontogeny of optimal behaviour

PubMed Central

Enquist, Magnus; Lind, Johan

2016-01-01

Behaving efficiently (optimally or near-optimally) is central to animals' adaptation to their environment. Much evolutionary biology assumes, implicitly or explicitly, that optimal behavioural strategies are genetically inherited, yet the behaviour of many animals depends crucially on learning. The question of how learning contributes to optimal behaviour is largely open. Here we propose an associative learning model that can learn optimal behaviour in a wide variety of ecologically relevant circumstances. The model learns through chaining, a term introduced by Skinner to indicate learning of behaviour sequences by linking together shorter sequences or single behaviours. Our model formalizes the concept of conditioned reinforcement (the learning process that underlies chaining) and is closely related to optimization algorithms from machine learning. Our analysis dispels the common belief that associative learning is too limited to produce ‘intelligent’ behaviour such as tool use, social learning, self-control or expectations of the future. Furthermore, the model readily accounts for both instinctual and learned aspects of behaviour, clarifying how genetic evolution and individual learning complement each other, and bridging a long-standing divide between ethology and psychology. We conclude that associative learning, supported by genetic predispositions and including the oft-neglected phenomenon of conditioned reinforcement, may suffice to explain the ontogeny of optimal behaviour in most, if not all, non-human animals. Our results establish associative learning as a more powerful optimizing mechanism than acknowledged by current opinion. PMID:28018662

Dissecting the mechanisms of squirrel monkey (Saimiri boliviensis) social learning

PubMed Central

Holmes, AN; Williams, LE; Brosnan, SF

2013-01-01

Although the social learning abilities of monkeys have been well documented, this research has only focused on a few species. Furthermore, of those that also incorporated dissections of social learning mechanisms, the majority studied either capuchins (Cebus apella) or marmosets (Callithrix jacchus). To gain a broader understanding of how monkeys gain new skills, we tested squirrel monkeys (Saimiri boliviensis) which have never been studied in tests of social learning mechanisms. To determine whether S. boliviensis can socially learn, we ran “open diffusion” tests with monkeys housed in two social groups (N = 23). Over the course of 10 20-min sessions, the monkeys in each group observed a trained group member retrieving a mealworm from a bidirectional task (the “Slide-box”). Two thirds (67%) of these monkeys both learned how to operate the Slide-box and they also moved the door significantly more times in the direction modeled by the trained demonstrator than the alternative direction. To tease apart the underlying social learning mechanisms we ran a series of three control conditions with 35 squirrel monkeys that had no previous experience with the Slide-box. The first replicated the experimental open diffusion sessions but without the inclusion of a trained model, the second was a no-information control with dyads of monkeys, and the third was a ‘ghost’ display shown to individual monkeys. The first two controls tested for the importance of social support (mere presence effect) and the ghost display showed the affordances of the task to the monkeys. The monkeys showed a certain level of success in the group control (54% of subjects solved the task on one or more occasions) and paired controls (28% were successful) but none were successful in the ghost control. We propose that the squirrel monkeys’ learning, observed in the experimental open diffusion tests, can be best described by a combination of social learning mechanisms in concert; in this case, those mechanisms are most likely object movement reenactment and social facilitation. We discuss the interplay of these mechanisms and how they related to learning shown by other primate species. PMID:23638347

A blended learning approach for teaching computer programming: design for large classes in Sub-Saharan Africa

NASA Astrophysics Data System (ADS)

Bayu Bati, Tesfaye; Gelderblom, Helene; van Biljon, Judy

2014-01-01

The challenge of teaching programming in higher education is complicated by problems associated with large class teaching, a prevalent situation in many developing countries. This paper reports on an investigation into the use of a blended learning approach to teaching and learning of programming in a class of more than 200 students. A course and learning environment was designed by integrating constructivist learning models of Constructive Alignment, Conversational Framework and the Three-Stage Learning Model. Design science research is used for the course redesign and development of the learning environment, and action research is integrated to undertake participatory evaluation of the intervention. The action research involved the Students' Approach to Learning survey, a comparative analysis of students' performance, and qualitative data analysis of data gathered from various sources. The paper makes a theoretical contribution in presenting a design of a blended learning solution for large class teaching of programming grounded in constructivist learning theory and use of free and open source technologies.

A review of active learning approaches to experimental design for uncovering biological networks

PubMed Central

2017-01-01

Various types of biological knowledge describe networks of interactions among elementary entities. For example, transcriptional regulatory networks consist of interactions among proteins and genes. Current knowledge about the exact structure of such networks is highly incomplete, and laboratory experiments that manipulate the entities involved are conducted to test hypotheses about these networks. In recent years, various automated approaches to experiment selection have been proposed. Many of these approaches can be characterized as active machine learning algorithms. Active learning is an iterative process in which a model is learned from data, hypotheses are generated from the model to propose informative experiments, and the experiments yield new data that is used to update the model. This review describes the various models, experiment selection strategies, validation techniques, and successful applications described in the literature; highlights common themes and notable distinctions among methods; and identifies likely directions of future research and open problems in the area. PMID:28570593

Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments

NASA Astrophysics Data System (ADS)

Badura, Aleksandra; Clopath, Claudia; Schonewille, Martijn; de Zeeuw, Chris I.

2016-11-01

Translating neuronal activity to measurable behavioral changes has been a long-standing goal of systems neuroscience. Recently, we have developed a model of phase-reversal learning of the vestibulo-ocular reflex, a well-established, cerebellar-dependent task. The model, comprising both the cerebellar cortex and vestibular nuclei, reproduces behavioral data and accounts for the changes in neural activity during learning in wild type mice. Here, we used our model to predict Purkinje cell spiking as well as behavior before and after learning of five different lines of mutant mice with distinct cell-specific alterations of the cerebellar cortical circuitry. We tested these predictions by obtaining electrophysiological data depicting changes in neuronal spiking. We show that our data is largely consistent with the model predictions for simple spike modulation of Purkinje cells and concomitant behavioral learning in four of the mutants. In addition, our model accurately predicts a shift in simple spike activity in a mutant mouse with a brainstem specific mutation. This combination of electrophysiological and computational techniques opens a possibility of predicting behavioral impairments from neural activity.

Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments

PubMed Central

Badura, Aleksandra; Clopath, Claudia; Schonewille, Martijn; De Zeeuw, Chris I.

2016-01-01

Translating neuronal activity to measurable behavioral changes has been a long-standing goal of systems neuroscience. Recently, we have developed a model of phase-reversal learning of the vestibulo-ocular reflex, a well-established, cerebellar-dependent task. The model, comprising both the cerebellar cortex and vestibular nuclei, reproduces behavioral data and accounts for the changes in neural activity during learning in wild type mice. Here, we used our model to predict Purkinje cell spiking as well as behavior before and after learning of five different lines of mutant mice with distinct cell-specific alterations of the cerebellar cortical circuitry. We tested these predictions by obtaining electrophysiological data depicting changes in neuronal spiking. We show that our data is largely consistent with the model predictions for simple spike modulation of Purkinje cells and concomitant behavioral learning in four of the mutants. In addition, our model accurately predicts a shift in simple spike activity in a mutant mouse with a brainstem specific mutation. This combination of electrophysiological and computational techniques opens a possibility of predicting behavioral impairments from neural activity. PMID:27805050

Designing a Resource Evolution Support System for Open Knowledge Communities

ERIC Educational Resources Information Center

Yang, Xianmin; Yu, Shengquan

2015-01-01

The continuous generation and evolution of digital learning resources is important for promoting open learning and meeting the personalized needs of learners. In the Web 2.0 era, open and collaborative authoring is becoming a popular method by which to create vast personalized learning resources in open knowledge communities (OKCs). However, the…

Inquiry-Based Science Education: Scaffolding Pupils' Self-Directed Learning in Open Inquiry

ERIC Educational Resources Information Center

van Uum, Martina S. J.; Verhoeff, Roald P.; Peeters, Marieke

2017-01-01

This paper describes a multiple case study on open inquiry-based learning in primary schools. During open inquiry, teachers often experience difficulties in balancing support and transferring responsibility to pupils' own learning. To facilitate teachers in guiding open inquiry, we developed hard and soft scaffolds. The hard scaffolds consisted of…

Influences of deep learning, need for cognition and preparation time on open- and closed-book test performance.

PubMed

Heijne-Penninga, Marjolein; Kuks, Jan B M; Hofman, W H Adriaan; Cohen-Schotanus, Janke

2010-09-01

The ability to master discipline-specific knowledge is one of the competencies medical students must acquire. In this context, 'mastering' means being able to recall and apply knowledge. A way to assess this competency is to use both open- and closed-book tests. Student performance on both tests can be influenced by the way the student processes information. Deep information processing is expected to influence performance positively. The personal preferences of students in relation to how they process information in general (i.e. their level of need for cognition) may also be of importance. In this study, we examined the inter-relatedness of deep learning, need for cognition and preparation time, and scores on open- and closed-book tests. This study was conducted at the University Medical Centre Groningen. Participants were Year 2 students (n = 423). They were asked to complete a questionnaire on deep information processing, a scale for need for cognition on a questionnaire on intellectualism and, additionally, to write down the time they spent on test preparation. We related these measures to the students' scores on two tests, both consisting of open- and closed-book components and used structural equation modelling to analyse the data. Both questionnaires were completed by 239 students (57%). The results showed that need for cognition positively influenced both open- and closed-book test scores (beta-coefficients 0.05 and 0.11, respectively). Furthermore, study outcomes measured by open-book tests predicted closed-book test results better than the other way around (beta-coefficients 0.72 and 0.11, respectively). Students with a high need for cognition performed better on open- as well as closed-book tests. Deep learning did not influence their performance. Adding open-book tests to the regularly used closed-book tests seems to improve the recall of knowledge that has to be known by heart. Need for cognition may provide a valuable addition to existing theories on learning.

E-learning: Web-based education.

PubMed

Sajeva, Marco

2006-12-01

This review introduces state-of-the-art Web-based education and shows how the e-learning model can be applied to an anaesthesia department using Open Source solutions, as well as lifelong learning programs, which is happening in several European research projects. The definition of the term e-learning is still a work in progress due to the fact that technologies are evolving every day and it is difficult to improve teaching methodologies or to adapt traditional methods to a new or already existing educational model. The European Community is funding several research projects to define the new common market place for tomorrow's educational system; this is leading to new frontiers like virtual Erasmus inter-exchange programs based on e-learning. The first step when adapting a course to e-learning is to re-define the educational/learning model adopted: cooperative learning and tutoring are the two key concepts. This means that traditional lecture notes, books and exercises are no longer effective; teaching files must use rich multimedia content and have to be developed using the new media. This can lead to several pitfalls that can be avoided with an accurate design phase.

In vitro molecular machine learning algorithm via symmetric internal loops of DNA.

PubMed

Lee, Ji-Hoon; Lee, Seung Hwan; Baek, Christina; Chun, Hyosun; Ryu, Je-Hwan; Kim, Jin-Woo; Deaton, Russell; Zhang, Byoung-Tak

2017-08-01

Programmable biomolecules, such as DNA strands, deoxyribozymes, and restriction enzymes, have been used to solve computational problems, construct large-scale logic circuits, and program simple molecular games. Although studies have shown the potential of molecular computing, the capability of computational learning with DNA molecules, i.e., molecular machine learning, has yet to be experimentally verified. Here, we present a novel molecular learning in vitro model in which symmetric internal loops of double-stranded DNA are exploited to measure the differences between training instances, thus enabling the molecules to learn from small errors. The model was evaluated on a data set of twenty dialogue sentences obtained from the television shows Friends and Prison Break. The wet DNA-computing experiments confirmed that the molecular learning machine was able to generalize the dialogue patterns of each show and successfully identify the show from which the sentences originated. The molecular machine learning model described here opens the way for solving machine learning problems in computer science and biology using in vitro molecular computing with the data encoded in DNA molecules. Copyright © 2017. Published by Elsevier B.V.

Open Source for Knowledge and Learning Management: Strategies beyond Tools

ERIC Educational Resources Information Center

Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

2007-01-01

In the last years, knowledge and learning management have made a significant impact on the IT research community. "Open Source for Knowledge and Learning Management: Strategies Beyond Tools" presents learning and knowledge management from a point of view where the basic tools and applications are provided by open source technologies.…

Motivation and Gender Differences in Learning Spanish as a Foreign Language in a Malaysian Technical University

ERIC Educational Resources Information Center

Khong, Hou-Keat; Hassan, Nurul Husna; Ramli, Norasrani

2017-01-01

Purpose: The purpose of this study is to investigate student motivation and gender differences in learning Spanish as a foreign language in the Malaysian context. Method: Student motivation was measured by means of a self-report questionnaire based on Gardner's social psychological model. The questionnaire contained both close-ended and open-ended…

Riding the MOOC Tsunami

NASA Astrophysics Data System (ADS)

Bauer, Wolfgang

2014-03-01

Massive Open Online Courses (MOOCs) have the potential to revolutionize teaching and learning at universities. It is even conceivable that MOOCs can endanger the basic business model of higher education, because they have the potential to erase traditional brick-and-mortar advantages. I will discuss our experiences with 15 years of offering online physics courses at Michigan State University, and lessons learned in doing so.

The Effect of Communication Strategy and Planning Intervention on the Processes and Performance of Course Material Development Teams

ERIC Educational Resources Information Center

Padmo Putri, Dewi A.

2012-01-01

In most open and distance learning institutions, the development of learning materials, whether in print or electronic form, is created by teams consisting of people with different skills. Team communication has a critical influence on the development of team shared mental models (SMMs) as well as team performance. A review of the literature…

Modeling the History of Astronomy: Ptolemy, Copernicus, and Tycho

ERIC Educational Resources Information Center

Timberlake, Todd K.

2013-01-01

This paper describes a series of activities in which students investigate and use the Ptolemaic, Copernican, and Tychonic models of planetary motion. The activities guide students through using open source software to discover important observational facts, learn the necessary vocabulary, understand the fundamental properties of different…

I-STEM Ed Exemplar: Implementation of the PIRPOSAL Model

ERIC Educational Resources Information Center

Wells, John G.

2016-01-01

The opening pages of the first PIRPOSAL (Problem Identification, Ideation, Research, Potential Solutions, Optimization, Solution Evaluation, Alterations, and Learned Outcomes) article make the case that the instructional models currently used in K-12 Science, Technology, Engineering, and Mathematics (STEM) Education fall short of conveying their…

Models as Relational Categories

NASA Astrophysics Data System (ADS)

Kokkonen, Tommi

2017-11-01

Model-based learning (MBL) has an established position within science education. It has been found to enhance conceptual understanding and provide a way for engaging students in authentic scientific activity. Despite ample research, few studies have examined the cognitive processes regarding learning scientific concepts within MBL. On the other hand, recent research within cognitive science has examined the learning of so-called relational categories. Relational categories are categories whose membership is determined on the basis of the common relational structure. In this theoretical paper, I argue that viewing models as relational categories provides a well-motivated cognitive basis for MBL. I discuss the different roles of models and modeling within MBL (using ready-made models, constructive modeling, and generative modeling) and discern the related cognitive aspects brought forward by the reinterpretation of models as relational categories. I will argue that relational knowledge is vital in learning novel models and in the transfer of learning. Moreover, relational knowledge underlies the coherent, hierarchical knowledge of experts. Lastly, I will examine how the format of external representations may affect the learning of models and the relevant relations. The nature of the learning mechanisms underlying students' mental representations of models is an interesting open question to be examined. Furthermore, the ways in which the expert-like knowledge develops and how to best support it is in need of more research. The discussion and conceptualization of models as relational categories allows discerning students' mental representations of models in terms of evolving relational structures in greater detail than previously done.

China's Radio and TV Universities: Reflections on Theory and Practice of Open and Distance Learning

ERIC Educational Resources Information Center

Wei, Runfang

2010-01-01

Distance education and open learning are western innovations, representing the educational concepts, cultures and societies of western countries. The introduction of distance education and the adoption of open learning in China's radio and TV universities are by no means an indication that they will and can be copied wholesale. Open and distance…

Attitudes and Perceptions of Students to Open and Distance Learning in Nigeria

ERIC Educational Resources Information Center

Ojo, David Olugbenga; Olakulehin, Felix Kayode

2006-01-01

In the West African Region of Africa, the National Open University of Nigeria (NOUN) is the first full fledged university that operates in an exclusively open and distance learning (ODL) mode of education. NOUN focuses mainly on open and distance teaching and learning system, and delivers its courses materials via print in conjunction with…

A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning.

PubMed

Chung, Michael Jae-Yoon; Friesen, Abram L; Fox, Dieter; Meltzoff, Andrew N; Rao, Rajesh P N

2015-01-01

A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that children use self-experience to bootstrap the process of intention recognition and goal-based imitation. Our approach allows an autonomous agent to: (i) learn probabilistic models of actions through self-discovery and experience, (ii) utilize these learned models for inferring the goals of human actions, and (iii) perform goal-based imitation for robotic learning and human-robot collaboration. Such an approach allows a robot to leverage its increasing repertoire of learned behaviors to interpret increasingly complex human actions and use the inferred goals for imitation, even when the robot has very different actuators from humans. We demonstrate our approach using two different scenarios: (i) a simulated robot that learns human-like gaze following behavior, and (ii) a robot that learns to imitate human actions in a tabletop organization task. In both cases, the agent learns a probabilistic model of its own actions, and uses this model for goal inference and goal-based imitation. We also show that the robotic agent can use its probabilistic model to seek human assistance when it recognizes that its inferred actions are too uncertain, risky, or impossible to perform, thereby opening the door to human-robot collaboration.

A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning

PubMed Central

Chung, Michael Jae-Yoon; Friesen, Abram L.; Fox, Dieter; Meltzoff, Andrew N.; Rao, Rajesh P. N.

2015-01-01

A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that children use self-experience to bootstrap the process of intention recognition and goal-based imitation. Our approach allows an autonomous agent to: (i) learn probabilistic models of actions through self-discovery and experience, (ii) utilize these learned models for inferring the goals of human actions, and (iii) perform goal-based imitation for robotic learning and human-robot collaboration. Such an approach allows a robot to leverage its increasing repertoire of learned behaviors to interpret increasingly complex human actions and use the inferred goals for imitation, even when the robot has very different actuators from humans. We demonstrate our approach using two different scenarios: (i) a simulated robot that learns human-like gaze following behavior, and (ii) a robot that learns to imitate human actions in a tabletop organization task. In both cases, the agent learns a probabilistic model of its own actions, and uses this model for goal inference and goal-based imitation. We also show that the robotic agent can use its probabilistic model to seek human assistance when it recognizes that its inferred actions are too uncertain, risky, or impossible to perform, thereby opening the door to human-robot collaboration. PMID:26536366

Assessment Challenges in Open Learning: Way-Finding, Fork in the Road, or End of the Line?

ERIC Educational Resources Information Center

Conrad, Dianne

2013-01-01

Growing global commitments to open learning through the use of Open Educational Resources (OERs) are accompanied by concerns over what "to do" with that learning when learners present it to traditional institutions for assessment and accreditation. This paper proposes that established RPL (recognizing prior learning) protocols, in place…

Open Sim and Sloodle Integration for Preservice Foreign Language Teachers' Continuing Professional Development: A Comparative Analysis of Learning Effectiveness Using the Community of Inquiry Model

ERIC Educational Resources Information Center

Pellas, Nikolaos; Boumpa, Anna

2016-01-01

A considerable interest in using three-dimensional multi-user virtual worlds for different educational disciplines has been widely observed. Despite the potential benefits of this technology, many questions still remain open, as far as the design of appropriate activities in well-defined instructional design frameworks and their effectiveness on…

Muxstep: an open-source C ++ multiplex HMM library for making inferences on multiple data types.

PubMed

Veličković, Petar; Liò, Pietro

2016-08-15

With the development of experimental methods and technology, we are able to reliably gain access to data in larger quantities, dimensions and types. This has great potential for the improvement of machine learning (as the learning algorithms have access to a larger space of information). However, conventional machine learning approaches used thus far on single-dimensional data inputs are unlikely to be expressive enough to accurately model the problem in higher dimensions; in fact, it should generally be most suitable to represent our underlying models as some form of complex networksng;nsio with nontrivial topological features. As the first step in establishing such a trend, we present MUXSTEP: , an open-source library utilising multiplex networks for the purposes of binary classification on multiple data types. The library is designed to be used out-of-the-box for developing models based on the multiplex network framework, as well as easily modifiable to suit problem modelling needs that may differ significantly from the default approach described. The full source code is available on GitHub: https://github.com/PetarV-/muxstep petar.velickovic@cl.cam.ac.uk Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Imitation by combination: preschool age children evidence summative imitation in a novel problem-solving task

PubMed Central

Subiaul, Francys; Krajkowski, Edward; Price, Elizabeth E.; Etz, Alexander

2015-01-01

Children are exceptional, even ‘super,’ imitators but comparatively poor independent problem-solvers or innovators. Yet, imitation and innovation are both necessary components of cumulative cultural evolution. Here, we explored the relationship between imitation and innovation by assessing children’s ability to generate a solution to a novel problem by imitating two different action sequences demonstrated by two different models, an example of imitation by combination, which we refer to as “summative imitation.” Children (N = 181) from 3 to 5 years of age and across three experiments were tested in a baseline condition or in one of six demonstration conditions, varying in the number of models and opening techniques demonstrated. Across experiments, more than 75% of children evidenced summative imitation, opening both compartments of the problem box and retrieving the reward hidden in each. Generally, learning different actions from two different models was as good (and in some cases, better) than learning from 1 model, but the underlying representations appear to be the same in both demonstration conditions. These results show that summative imitation not only facilitates imitation learning but can also result in new solutions to problems, an essential feature of innovation and cumulative culture. PMID:26441782

Proposing a Metaliteracy Model to Redefine Information Literacy

ERIC Educational Resources Information Center

Jacobson, Trudi E.; Mackey, Thomas P.

2013-01-01

Metaliteracy is envisioned as a comprehensive model for information literacy to advance critical thinking and reflection in social media, open learning settings, and online communities. At this critical time in higher education, an expansion of the original definition of information literacy is required to include the interactive production and…

Rationale, scope, and 20-year experience of vascular surgical training with lifelike pulsatile flow models.

PubMed

Eckstein, Hans-Henning; Schmidli, Jürg; Schumacher, Hardy; Gürke, Lorenz; Klemm, Klaus; Duschek, Nikolaus; Meile, Toni; Assadian, Afshin

2013-05-01

Vascular surgical training currently has to cope with various challenges, including restrictions on work hours, significant reduction of open surgical training cases in many countries, an increasing diversity of open and endovascular procedures, and distinct expectations by trainees. Even more important, patients and the public no longer accept a "learning by doing" training philosophy that leaves the learning curve on the patient's side. The Vascular International (VI) Foundation and School aims to overcome these obstacles by training conventional vascular and endovascular techniques before they are applied on patients. To achieve largely realistic training conditions, lifelike pulsatile models with exchangeable synthetic arterial inlays were created to practice carotid endarterectomy and patch plasty, open abdominal aortic aneurysm surgery, and peripheral bypass surgery, as well as for endovascular procedures, including endovascular aneurysm repair, thoracic endovascular aortic repair, peripheral balloon dilatation, and stenting. All models are equipped with a small pressure pump inside to create pulsatile flow conditions with variable peak pressures of ~90 mm Hg. The VI course schedule consists of a series of 2-hour modules teaching different open or endovascular procedures step-by-step in a standardized fashion. Trainees practice in pairs with continuous supervision and intensive advice provided by highly experienced vascular surgical trainers (trainer-to-trainee ratio is 1:4). Several evaluations of these courses show that tutor-assisted training on lifelike models in an educational-centered and motivated environment is associated with a significant increase of general and specific vascular surgical technical competence within a short period of time. Future studies should evaluate whether these benefits positively influence the future learning curve of vascular surgical trainees and clarify to what extent sophisticated models are useful to assess the level of technical skills of vascular surgical residents at national or international board examinations. This article gives an overview of our experiences of >20 years of practical training of beginners and advanced vascular surgeons using lifelike pulsatile vascular surgical training models. Copyright © 2013 Society for Vascular Surgery. Published by Mosby, Inc. All rights reserved.

Entrepreneurial model based technology creative industries sector software through the use of free open source software for Universitas Pendidikan Indonesia students

NASA Astrophysics Data System (ADS)

Hasan, B.; Hasbullah; Purnama, W.; Hery, A.

2016-04-01

Creative industry development areas of software by using Free Open Source Software (FOSS) is expected to be one of the solutions to foster new entrepreneurs of the students who can open job opportunities and contribute to economic development in Indonesia. This study aims to create entrepreneurial coaching model based on the creative industries by utilizing FOSS software field as well as provide understanding and fostering entrepreneurial creative industries based field software for students of Universitas Pendidikan Indonesia. This activity phase begins with identifying entrepreneurs or business software technology that will be developed, training and mentoring, apprenticeship process at industrial partners, creation of business plans and monitoring and evaluation. This activity involves 30 UPI student which has the motivation to self-employment and have competence in the field of information technology. The results and outcomes expected from these activities is the birth of a number of new entrepreneurs from the students engaged in the software industry both software in the world of commerce (e-commerce) and education/learning (e-learning/LMS) and games.

Exploring Differences between Self-Regulated Learning Strategies of High and Low Achievers in Open Distance Learning

ERIC Educational Resources Information Center

Geduld, Bernadette

2016-01-01

Open distance students differ in their preparedness for higher education studies. Students who are less self-regulated risk failure and drop out in the challenging milieu of open distance learning. In this study, the differences between the application of self-regulated learning strategies by low and high achievers were explored. A multi-method…

The Open Learning Initiative: Measuring the Effectiveness of the OLI Statistics Course in Accelerating Student Learning

ERIC Educational Resources Information Center

Lovett, Marsha; Meyer, Oded; Thille, Candace

2008-01-01

The Open Learning Initiative (OLI) is an open educational resources project at Carnegie Mellon University that began in 2002 with a grant from The William and Flora Hewlett Foundation. OLI creates web-based courses that are designed so that students can learn effectively without an instructor. In addition, the courses are often used by instructors…

Developing Pedagogical Expertise in Modern Language Learning and Specific Learning Difficulties through Collaborative and Open Educational Practices

ERIC Educational Resources Information Center

Gallardo, Matilde; Heiser, Sarah; Arias McLaughlin, Ximena

2017-01-01

This paper analyses teachers' engagement with collaborative and open educational practices to develop their pedagogical expertise in the field of modern language (ML) learning and specific learning difficulties (SpLD). The study analyses the findings of a staff development initiative at the Department of Languages, Open University, UK, in 2013,…

Discriminatively learning for representing local image features with quadruplet model

NASA Astrophysics Data System (ADS)

Zhang, Da-long; Zhao, Lei; Xu, Duan-qing; Lu, Dong-ming

2017-11-01

Traditional hand-crafted features for representing local image patches are evolving into current data-driven and learning-based image feature, but learning a robust and discriminative descriptor which is capable of controlling various patch-level computer vision tasks is still an open problem. In this work, we propose a novel deep convolutional neural network (CNN) to learn local feature descriptors. We utilize the quadruplets with positive and negative training samples, together with a constraint to restrict the intra-class variance, to learn good discriminative CNN representations. Compared with previous works, our model reduces the overlap in feature space between corresponding and non-corresponding patch pairs, and mitigates margin varying problem caused by commonly used triplet loss. We demonstrate that our method achieves better embedding result than some latest works, like PN-Net and TN-TG, on benchmark dataset.

E-Learning and Technologies for Open Distance Learning in Management Accounting

ERIC Educational Resources Information Center

Kashora, Trust; van der Poll, Huibrecht M.; van der Poll, John A.

2016-01-01

This research develops a knowledge acquisition and construction framework for e-learning for Management Accounting students at the University of South Africa, an Open Distance Learning institution which utilises e-learning. E-learning refers to the use of electronic applications and processes for learning, including the transfer of skills and…

Mobile Learning: Challenges for Teachers of Indian Open Universities

ERIC Educational Resources Information Center

Awadhiya, Ashish Kumar; Miglani, Anshu

2016-01-01

"Mobile Learning" (m-Learning) has emerged as a trend in the field of Open and Distance Learning (ODL). It is removing the time and geographical barriers for learning by placing learning opportunities at the fingertips of learners. ODL institutes in India are also adopting m-learning in different forms; however, it is not fully…

Bringing Chatbots into education: Towards Natural Language Negotiation of Open Learner Models

NASA Astrophysics Data System (ADS)

Kerlyl, Alice; Hall, Phil; Bull, Susan

There is an extensive body of work on Intelligent Tutoring Systems: computer environments for education, teaching and training that adapt to the needs of the individual learner. Work on personalisation and adaptivity has included research into allowing the student user to enhance the system's adaptivity by improving the accuracy of the underlying learner model. Open Learner Modelling, where the system's model of the user's knowledge is revealed to the user, has been proposed to support student reflection on their learning. Increased accuracy of the learner model can be obtained by the student and system jointly negotiating the learner model. We present the initial investigations into a system to allow people to negotiate the model of their understanding of a topic in natural language. This paper discusses the development and capabilities of both conversational agents (or chatbots) and Intelligent Tutoring Systems, in particular Open Learner Modelling. We describe a Wizard-of-Oz experiment to investigate the feasibility of using a chatbot to support negotiation, and conclude that a fusion of the two fields can lead to developing negotiation techniques for chatbots and the enhancement of the Open Learner Model. This technology, if successful, could have widespread application in schools, universities and other training scenarios.

Maritime Threat Detection Using Probabilistic Graphical Models

DTIC Science & Technology

2012-01-01

CRF, unlike an HMM, can represent local features, and does not require feature concatenation. MLNs For MLNs, we used Alchemy ( Alchemy 2011), an...open source statistical relational learning and probabilistic inferencing package. Alchemy supports generative and discriminative weight learning, and...that Alchemy creates a new formula for every possible combination of the values for a1 and a2 that fit the type specified in their predicate

Exploring the Earth Using Deep Learning Techniques

NASA Astrophysics Data System (ADS)

Larraondo, P. R.; Evans, B. J. K.; Antony, J.

2016-12-01

Research using deep neural networks have significantly matured in recent times, and there is now a surge in interest to apply such methods to Earth systems science and the geosciences. When combined with Big Data, we believe there are opportunities for significantly transforming a number of areas relevant to researchers and policy makers. In particular, by using a combination of data from a range of satellite Earth observations as well as computer simulations from climate models and reanalysis, we can gain new insights into the information that is locked within the data. Global geospatial datasets describe a wide range of physical and chemical parameters, which are mostly available using regular grids covering large spatial and temporal extents. This makes them perfect candidates to apply deep learning methods. So far, these techniques have been successfully applied to image analysis through the use of convolutional neural networks. However, this is only one field of interest, and there is potential for many more use cases to be explored. The deep learning algorithms require fast access to large amounts of data in the form of tensors and make intensive use of CPU in order to train its models. The Australian National Computational Infrastructure (NCI) has recently augmented its Raijin 1.2 PFlop supercomputer with hardware accelerators. Together with NCI's 3000 core high performance OpenStack cloud, these computational systems have direct access to NCI's 10+ PBytes of datasets and associated Big Data software technologies (see http://geonetwork.nci.org.au/ and http://nci.org.au/systems-services/national-facility/nerdip/). To effectively use these computing infrastructures requires that both the data and software are organised in a way that readily supports the deep learning software ecosystem. Deep learning software, such as the open source TensorFlow library, has allowed us to demonstrate the possibility of generating geospatial models by combining information from our different data sources. This opens the door to an exciting new way of generating products and extracting features that have previously been labour intensive. In this paper, we will explore some of these geospatial use cases and share some of the lessons learned from this experience.

Learning Together: Opening up Learning in All-Through Schools

ERIC Educational Resources Information Center

Her Majesty's Inspectorate of Education, 2010

2010-01-01

The aim of this guide is to stimulate professional reflection, dialogue and debate about learning. Education professionals in Scotland are already aware of the key issues relating to learning through the series "Curriculum for Excellence: Building the Curriculum," the recent publication "Learning Together: Opening Up Learning"…

Progressor: social navigation support through open social student modeling

NASA Astrophysics Data System (ADS)

Hsiao, I.-Han; Bakalov, Fedor; Brusilovsky, Peter; König-Ries, Birgitta

2013-06-01

The increased volumes of online learning content have produced two problems: how to help students to find the most appropriate resources and how to engage them in using these resources. Personalized and social learning have been suggested as potential ways to address these problems. Our work presented in this paper combines the ideas of personalized and social learning in the context of educational hypermedia. We introduce Progressor, an innovative Web-based tool based on the concepts of social navigation and open student modeling that helps students to find the most relevant resources in a large collection of parameterized self-assessment questions on Java programming. We have evaluated Progressor in a semester-long classroom study, the results of which are presented in this paper. The study confirmed the impact of personalized social navigation support provided by the system in the target context. The interface encouraged students to explore more topics attempting more questions and achieving higher success rates in answering them. A deeper analysis of the social navigation support mechanism revealed that the top students successfully led the way to discovering most relevant resources by creating clear pathways for weaker students.

Globalization, Information and Communication Technologies (ICTs) and Open/Distance Learning in Nigeria: Trends, Issues and Solution

ERIC Educational Resources Information Center

Olusola, Akande Joshua; Alaba, Sofowora Olaniyi

2011-01-01

The main thrust of this paper is to discuss the development of open and distance education in Nigeria and the major manifestations of the use of information and communication technologies (ICTs) in education in open and distance learning. This study further discusses the importance and use of ICTs in open and distance learning in making education…

Strategic Integration of Open Educational Resources in Higher Education

NASA Astrophysics Data System (ADS)

Schaffert, Sandra

Open Educational Resources (OERs) can be seen as social movement but are also implemented as strategic measures in higher education institutions (HEIs). This chapter describes the current aims and experiences of OERs in HEIs. Starting with definitions and milestones in respect of the current status, this chapter gives an overview of projects and implementation objectives and it describes two concrete case studies, i.e., the Massachusetts Institute of Technology Open CourseWare project and the OpenLearn project at the Open University in the United Kingdom. The aim of this chapter is to give a comprehensive overview to decision makers and policy drivers within higher education organizations, and thus it develops a blueprint of an implementation model.

Performance Assessment of Network Intrusion-Alert Prediction

DTIC Science & Technology

2012-09-01

the threats. In this thesis, we use Snort to generate the intrusion detection alerts. 2. SNORT Snort is an open source network intrusion...standard for IPS. (Snort, 2012) We choose Snort because it is an open source product that is free to download and can be deployed cross-platform...Learning & prediction in relational time series: A survey. 21st Behavior Representation in Modeling & Simulation ( BRIMS ) Conference 2012, 93–100. Tan

Experiences from CSCW in Virtual Classrooms.

ERIC Educational Resources Information Center

Multisilta, Jari

The rapid development of modern information and communications technologies has opened new possibilities for establishing and delivering distance learning. In addition, the new learning paradigm based on cognitive learning theories can emphasize the quality of the learning process. The open learning environment that utilizes modern communications…

Open-Book Assessment: A Contribution to Improved Learning?

ERIC Educational Resources Information Center

Eilertsen, Tor Vidar; Valdermo, Odd

2000-01-01

Studied the effects of open-book testing on instruction and student learning in an action research project involving 13 teachers and approximately 350 secondary school students in Norway. Results show open-book testing to be instrumental in strengthening understanding in both cooperative learning and more traditional classrooms. (SLD)

A Framework for Open, Flexible and Distributed Learning.

ERIC Educational Resources Information Center

Khan, Badrul H.

Designing open, flexible distance learning systems on the World Wide Web requires thoughtful analysis and investigation combined with an understanding of both the Web's attributes and resources and the ways instructional design principles can be applied to tap the Web's potential. A framework for open, flexible, and distributed learning has been…

Sharing Lessons-Learned on Effective Open Data, Open-Source Practices from OpenAQ, a Global Open Air Quality Community.

NASA Astrophysics Data System (ADS)

Hasenkopf, C. A.

2017-12-01

Increasingly, open data, open-source projects are unearthing rich datasets and tools, previously impossible for more traditional avenues to generate. These projects are possible, in part, because of the emergence of online collaborative and code-sharing tools, decreasing costs of cloud-based services to fetch, store, and serve data, and increasing interest of individuals to contribute their time and skills to 'open projects.' While such projects have generated palpable enthusiasm from many sectors, many of these projects face uncharted paths for sustainability, visibility, and acceptance. Our project, OpenAQ, is an example of an open-source, open data community that is currently forging its own uncharted path. OpenAQ is an open air quality data platform that aggregates and universally formats government and research-grade air quality data from 50 countries across the world. To date, we make available more than 76 million air quality (PM2.5, PM10, SO2, NO2, O3, CO and black carbon) data points through an open Application Programming Interface (API) and a user-customizable download interface at https://openaq.org. The goal of the platform is to enable an ecosystem of users to advance air pollution efforts from science to policy to the private sector. The platform is also an open-source project (https://github.com/openaq) and has only been made possible through the coding and data contributions of individuals around the world. In our first two years of existence, we have seen requests for data to our API skyrocket to more than 6 million datapoints per month, and use-cases as varied as ingesting data aggregated from our system into real-time models of wildfires to building open-source statistical packages (e.g. ropenaq and py-openaq) on top of the platform to creating public-friendly apps and chatbots. We will share a whirl-wind trip through our evolution and the many lessons learned so far related to platform structure, community engagement, organizational model type and sustainability.

A Computational Model of Early Argument Structure Acquisition

ERIC Educational Resources Information Center

Alishahi, Afra; Stevenson, Suzanne

2008-01-01

How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in the cognitive science of language. Computational modeling is an important methodology in research aimed at addressing this issue. We must determine appropriate learning…

Teaching Note--Constructing Critical Conversations: A Model for Facilitating Classroom Dialogue for Critical Learning

ERIC Educational Resources Information Center

Kang, Hye-Kyung; O'Neill, Peggy

2018-01-01

Discussions of power and privilege, oppression, and structural inequities in classrooms can produce complex understanding and critical analysis when facilitated effectively. In this article we present the critical conversations model for facilitating conversations that open up space for discussing such issues and encourage the development of…

Modeling the Water Balloon Slingshot

ERIC Educational Resources Information Center

Bousquet, Benjamin D.; Figura, Charles C.

2013-01-01

In the introductory physics courses at Wartburg College, we have been working to create a lab experience focused on the scientific process itself rather than verification of physical laws presented in the classroom or textbook. To this end, we have developed a number of open-ended modeling exercises suitable for a variety of learning environments,…

Discovering the Power of Individual-Based Modelling in Teaching and Learning: The Study of a Predator-Prey System

NASA Astrophysics Data System (ADS)

Ginovart, Marta

2014-08-01

The general aim is to promote the use of individual-based models (biological agent-based models) in teaching and learning contexts in life sciences and to make their progressive incorporation into academic curricula easier, complementing other existing modelling strategies more frequently used in the classroom. Modelling activities for the study of a predator-prey system for a mathematics classroom in the first year of an undergraduate program in biosystems engineering have been designed and implemented. These activities were designed to put two modelling approaches side by side, an individual-based model and a set of ordinary differential equations. In order to organize and display this, a system with wolves and sheep in a confined domain was considered and studied. With the teaching material elaborated and a computer to perform the numerical resolutions involved and the corresponding individual-based simulations, the students answered questions and completed exercises to achieve the learning goals set. Students' responses regarding the modelling of biological systems and these two distinct methodologies applied to the study of a predator-prey system were collected via questionnaires, open-ended queries and face-to-face dialogues. Taking into account the positive responses of the students when they were doing these activities, it was clear that using a discrete individual-based model to deal with a predator-prey system jointly with a set of ordinary differential equations enriches the understanding of the modelling process, adds new insights and opens novel perspectives of what can be done with computational models versus other models. The complementary views given by the two modelling approaches were very well assessed by students.

Probabilistic Open Set Recognition

NASA Astrophysics Data System (ADS)

Jain, Lalit Prithviraj

Real-world tasks in computer vision, pattern recognition and machine learning often touch upon the open set recognition problem: multi-class recognition with incomplete knowledge of the world and many unknown inputs. An obvious way to approach such problems is to develop a recognition system that thresholds probabilities to reject unknown classes. Traditional rejection techniques are not about the unknown; they are about the uncertain boundary and rejection around that boundary. Thus traditional techniques only represent the "known unknowns". However, a proper open set recognition algorithm is needed to reduce the risk from the "unknown unknowns". This dissertation examines this concept and finds existing probabilistic multi-class recognition approaches are ineffective for true open set recognition. We hypothesize the cause is due to weak adhoc assumptions combined with closed-world assumptions made by existing calibration techniques. Intuitively, if we could accurately model just the positive data for any known class without overfitting, we could reject the large set of unknown classes even under this assumption of incomplete class knowledge. For this, we formulate the problem as one of modeling positive training data by invoking statistical extreme value theory (EVT) near the decision boundary of positive data with respect to negative data. We provide a new algorithm called the PI-SVM for estimating the unnormalized posterior probability of class inclusion. This dissertation also introduces a new open set recognition model called Compact Abating Probability (CAP), where the probability of class membership decreases in value (abates) as points move from known data toward open space. We show that CAP models improve open set recognition for multiple algorithms. Leveraging the CAP formulation, we go on to describe the novel Weibull-calibrated SVM (W-SVM) algorithm, which combines the useful properties of statistical EVT for score calibration with one-class and binary support vector machines. Building from the success of statistical EVT based recognition methods such as PI-SVM and W-SVM on the open set problem, we present a new general supervised learning algorithm for multi-class classification and multi-class open set recognition called the Extreme Value Local Basis (EVLB). The design of this algorithm is motivated by the observation that extrema from known negative class distributions are the closest negative points to any positive sample during training, and thus should be used to define the parameters of a probabilistic decision model. In the EVLB, the kernel distribution for each positive training sample is estimated via an EVT distribution fit over the distances to the separating hyperplane between positive training sample and closest negative samples, with a subset of the overall positive training data retained to form a probabilistic decision boundary. Using this subset as a frame of reference, the probability of a sample at test time decreases as it moves away from the positive class. Possessing this property, the EVLB is well-suited to open set recognition problems where samples from unknown or novel classes are encountered at test. Our experimental evaluation shows that the EVLB provides a substantial improvement in scalability compared to standard radial basis function kernel machines, as well as P I-SVM and W-SVM, with improved accuracy in many cases. We evaluate our algorithm on open set variations of the standard visual learning benchmarks, as well as with an open subset of classes from Caltech 256 and ImageNet. Our experiments show that PI-SVM, WSVM and EVLB provide significant advances over the previous state-of-the-art solutions for the same tasks.

Access and Success in Learning: Technologies for Scaling Up Open and Distance Learning Programme in the Institute of Distance Learning, KNUST, Kumasi, Ghana

ERIC Educational Resources Information Center

Essel, Rebecca; Owusu-Boateng, William

2011-01-01

ODL (Open and Distance Learning) has come to stay. In recent years, there has been some extra-ordinary increasing international interest in it and Ghana is no exception. Currently, new ways of providing education are inevitable and ODL provides an effective alternate way. It represents approaches that focus on opening access to education and…

Using Satellite Classes to Optimise Access to and Participation in First-Year Business Management: A Case at an Open and Distance-Learning University in South Africa

ERIC Educational Resources Information Center

Swanepoel, Elana; De Beer, Andreas; Muller, Helene

2009-01-01

We investigated the effect of satellite classes as a component of blended learning, to enhance student performance of the Business Management I and Management I students at an open and distance-learning university. We discuss the evolution of distance education, the interactivities promoted by open and distance learning and the concept of blended…

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.

PubMed

Xiao, Cao; Choi, Edward; Sun, Jimeng

2018-06-08

To conduct a systematic review of deep learning models for electronic health record (EHR) data, and illustrate various deep learning architectures for analyzing different data sources and their target applications. We also highlight ongoing research and identify open challenges in building deep learning models of EHRs. We searched PubMed and Google Scholar for papers on deep learning studies using EHR data published between January 1, 2010, and January 31, 2018. We summarize them according to these axes: types of analytics tasks, types of deep learning model architectures, special challenges arising from health data and tasks and their potential solutions, as well as evaluation strategies. We surveyed and analyzed multiple aspects of the 98 articles we found and identified the following analytics tasks: disease detection/classification, sequential prediction of clinical events, concept embedding, data augmentation, and EHR data privacy. We then studied how deep architectures were applied to these tasks. We also discussed some special challenges arising from modeling EHR data and reviewed a few popular approaches. Finally, we summarized how performance evaluations were conducted for each task. Despite the early success in using deep learning for health analytics applications, there still exist a number of issues to be addressed. We discuss them in detail including data and label availability, the interpretability and transparency of the model, and ease of deployment.

Competitive repetition suppression (CoRe) clustering: a biologically inspired learning model with application to robust clustering.

PubMed

Bacciu, Davide; Starita, Antonina

2008-11-01

Determining a compact neural coding for a set of input stimuli is an issue that encompasses several biological memory mechanisms as well as various artificial neural network models. In particular, establishing the optimal network structure is still an open problem when dealing with unsupervised learning models. In this paper, we introduce a novel learning algorithm, named competitive repetition-suppression (CoRe) learning, inspired by a cortical memory mechanism called repetition suppression (RS). We show how such a mechanism is used, at various levels of the cerebral cortex, to generate compact neural representations of the visual stimuli. From the general CoRe learning model, we derive a clustering algorithm, named CoRe clustering, that can automatically estimate the unknown cluster number from the data without using a priori information concerning the input distribution. We illustrate how CoRe clustering, besides its biological plausibility, posses strong theoretical properties in terms of robustness to noise and outliers, and we provide an error function describing CoRe learning dynamics. Such a description is used to analyze CoRe relationships with the state-of-the art clustering models and to highlight CoRe similitude with rival penalized competitive learning (RPCL), showing how CoRe extends such a model by strengthening the rival penalization estimation by means of loss functions from robust statistics.

The Integration of Personal Learning Environments & Open Network Learning Environments

ERIC Educational Resources Information Center

Tu, Chih-Hsiung; Sujo-Montes, Laura; Yen, Cherng-Jyh; Chan, Junn-Yih; Blocher, Michael

2012-01-01

Learning management systems traditionally provide structures to guide online learners to achieve their learning goals. Web 2.0 technology empowers learners to create, share, and organize their personal learning environments in open network environments; and allows learners to engage in social networking and collaborating activities. Advanced…

bnstruct: an R package for Bayesian Network structure learning in the presence of missing data.

PubMed

Franzin, Alberto; Sambo, Francesco; Di Camillo, Barbara

2017-04-15

A Bayesian Network is a probabilistic graphical model that encodes probabilistic dependencies between a set of random variables. We introduce bnstruct, an open source R package to (i) learn the structure and the parameters of a Bayesian Network from data in the presence of missing values and (ii) perform reasoning and inference on the learned Bayesian Networks. To the best of our knowledge, there is no other open source software that provides methods for all of these tasks, particularly the manipulation of missing data, which is a common situation in practice. The software is implemented in R and C and is available on CRAN under a GPL licence. francesco.sambo@unipd.it. Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Computational and experimental single cell biology techniques for the definition of cell type heterogeneity, interplay and intracellular dynamics.

PubMed

de Vargas Roditi, Laura; Claassen, Manfred

2015-08-01

Novel technological developments enable single cell population profiling with respect to their spatial and molecular setup. These include single cell sequencing, flow cytometry and multiparametric imaging approaches and open unprecedented possibilities to learn about the heterogeneity, dynamics and interplay of the different cell types which constitute tissues and multicellular organisms. Statistical and dynamic systems theory approaches have been applied to quantitatively describe a variety of cellular processes, such as transcription and cell signaling. Machine learning approaches have been developed to define cell types, their mutual relationships, and differentiation hierarchies shaping heterogeneous cell populations, yielding insights into topics such as, for example, immune cell differentiation and tumor cell type composition. This combination of experimental and computational advances has opened perspectives towards learning predictive multi-scale models of heterogeneous cell populations. Copyright © 2014 Elsevier Ltd. All rights reserved.

Towards Networked Knowledge: The Learning Registry, an Infrastructure for Sharing Online Learning Resources

ERIC Educational Resources Information Center

Lee, Ashley; Hobson, Joe; Bienkowski, Marie; Midgley, Steve; Currier, Sarah; Campbell, Lorna M.; Novoselova, Tatiana

2012-01-01

In this article, the authors describe an open-source, open-data digital infrastructure for sharing information about open educational resources (OERs) across disparate systems and platforms. The Learning Registry, which began as a project funded by the U.S. Departments of Education and Defense, currently has an active international community…

Marketing Open and Flexible Learning...The Direct Mail Approach.

ERIC Educational Resources Information Center

Hunter, Ian; Beeson, David

The first section of this instructional guide explains why open learning needs marketing and what steps go into preparing a marketing campaign, including marketing the college and tutor time, service definition, service delivery, and communications. Changes in education that have affected open learning in recent years are addressed in the second…

The Open College of the North West, Distance Learning, and the "Open Tech" Programme.

ERIC Educational Resources Information Center

Percy, Keith; Saunders, Murray

1982-01-01

A regional program of pre-university courses in northwestern England open to adults with no entry qualifications is discussed. It uses some distance learning techniques but is investigating expansion to technical education through distance learning. The complexities and potential costs of such a substantial directional change are examined. (MSE)

Open Educational Practices and Resources. OLCOS Roadmap, 2012

ERIC Educational Resources Information Center

Geser, Guntram, Ed.

2007-01-01

As a Transversal Action under the European eLearning Programme, the Open e-Learning Content Observatory Services (OLCOS) project carries out a set of activities that aim at fostering the creation, sharing and re-use of Open Educational Resources (OER) in Europe and beyond. OER are understood to comprise content for teaching and learning,…

Measuring Self-Regulation in Self-Paced Open and Distance Learning Environments

ERIC Educational Resources Information Center

Kocdar, Serpil; Karadeniz, Abdulkadir; Bozkurt, Aras; Buyuk, Koksal

2018-01-01

Previous studies have described many scales for measuring self-regulation; however, no scale has been developed specifically for self-paced open and distance learning environments. Therefore, the aim of this study is to develop a scale for determining the self-regulated learning skills of distance learners in selfpaced open and distance learning…

Recasting Distance Learning with Network-Enabled Open Education: An Interview with Vijay Kumar

ERIC Educational Resources Information Center

Morrison, James L.; Kumar, Vijay

2008-01-01

In an interview with James Morrison, "Innovate's" editor-in-chief, Vijay Kumar describes how rethinking distance learning as network-enabled open education can catalyze a whole new set of learning opportunities. The growing open-education movement has made an increasing number and variety of resources freely available online, including everything…

Open Distant Learning: Pedagogical Terms of Reference and Dilemmas

ERIC Educational Resources Information Center

Tatkovic, Nevenka; Ruzic, Maja; Tatkovic, Sanja

2006-01-01

The paper first presents the essential viewpoints of general characteristics of open distance learning (OLD) and the short historical origins. The second part presents some pedagogical terms of reference for Open distance learning as the quality of ODL, the criteria of successful ODL (planning, successful interaction, work and emotional climate,…

Learning through ferroelectric domain dynamics in solid-state synapses

NASA Astrophysics Data System (ADS)

Boyn, Sören; Grollier, Julie; Lecerf, Gwendal; Xu, Bin; Locatelli, Nicolas; Fusil, Stéphane; Girod, Stéphanie; Carrétéro, Cécile; Garcia, Karin; Xavier, Stéphane; Tomas, Jean; Bellaiche, Laurent; Bibes, Manuel; Barthélémy, Agnès; Saïghi, Sylvain; Garcia, Vincent

2017-04-01

In the brain, learning is achieved through the ability of synapses to reconfigure the strength by which they connect neurons (synaptic plasticity). In promising solid-state synapses called memristors, conductance can be finely tuned by voltage pulses and set to evolve according to a biological learning rule called spike-timing-dependent plasticity (STDP). Future neuromorphic architectures will comprise billions of such nanosynapses, which require a clear understanding of the physical mechanisms responsible for plasticity. Here we report on synapses based on ferroelectric tunnel junctions and show that STDP can be harnessed from inhomogeneous polarization switching. Through combined scanning probe imaging, electrical transport and atomic-scale molecular dynamics, we demonstrate that conductance variations can be modelled by the nucleation-dominated reversal of domains. Based on this physical model, our simulations show that arrays of ferroelectric nanosynapses can autonomously learn to recognize patterns in a predictable way, opening the path towards unsupervised learning in spiking neural networks.

Modeling Geomagnetic Variations using a Machine Learning Framework

NASA Astrophysics Data System (ADS)

Cheung, C. M. M.; Handmer, C.; Kosar, B.; Gerules, G.; Poduval, B.; Mackintosh, G.; Munoz-Jaramillo, A.; Bobra, M.; Hernandez, T.; McGranaghan, R. M.

2017-12-01

We present a framework for data-driven modeling of Heliophysics time series data. The Solar Terrestrial Interaction Neural net Generator (STING) is an open source python module built on top of state-of-the-art statistical learning frameworks (traditional machine learning methods as well as deep learning). To showcase the capability of STING, we deploy it for the problem of predicting the temporal variation of geomagnetic fields. The data used includes solar wind measurements from the OMNI database and geomagnetic field data taken by magnetometers at US Geological Survey observatories. We examine the predictive capability of different machine learning techniques (recurrent neural networks, support vector machines) for a range of forecasting times (minutes to 12 hours). STING is designed to be extensible to other types of data. We show how STING can be used on large sets of data from different sensors/observatories and adapted to tackle other problems in Heliophysics.

Learning and Best Practices for Learning in Open-Source Software Communities

ERIC Educational Resources Information Center

Singh, Vandana; Holt, Lila

2013-01-01

This research is about participants who use open-source software (OSS) discussion forums for learning. Learning in online communities of education as well as non-education-related online communities has been studied under the lens of social learning theory and situated learning for a long time. In this research, we draw parallels among these two…

#GoOpen District Launch Packet

ERIC Educational Resources Information Center

Office of Educational Technology, US Department of Education, 2016

2016-01-01

Across the country, districts are choosing to #GoOpen and transitioning to the use of openly licensed educational resources to improve student learning in their schools. Openly licensed educational resources enable districts to reallocate significant funds currently spent on inflexible, static learning materials to resources and activities that…

PySeqLab: an open source Python package for sequence labeling and segmentation.

PubMed

Allam, Ahmed; Krauthammer, Michael

2017-11-01

Text and genomic data are composed of sequential tokens, such as words and nucleotides that give rise to higher order syntactic constructs. In this work, we aim at providing a comprehensive Python library implementing conditional random fields (CRFs), a class of probabilistic graphical models, for robust prediction of these constructs from sequential data. Python Sequence Labeling (PySeqLab) is an open source package for performing supervised learning in structured prediction tasks. It implements CRFs models, that is discriminative models from (i) first-order to higher-order linear-chain CRFs, and from (ii) first-order to higher-order semi-Markov CRFs (semi-CRFs). Moreover, it provides multiple learning algorithms for estimating model parameters such as (i) stochastic gradient descent (SGD) and its multiple variations, (ii) structured perceptron with multiple averaging schemes supporting exact and inexact search using 'violation-fixing' framework, (iii) search-based probabilistic online learning algorithm (SAPO) and (iv) an interface for Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited-memory BFGS algorithms. Viterbi and Viterbi A* are used for inference and decoding of sequences. Using PySeqLab, we built models (classifiers) and evaluated their performance in three different domains: (i) biomedical Natural language processing (NLP), (ii) predictive DNA sequence analysis and (iii) Human activity recognition (HAR). State-of-the-art performance comparable to machine-learning based systems was achieved in the three domains without feature engineering or the use of knowledge sources. PySeqLab is available through https://bitbucket.org/A_2/pyseqlab with tutorials and documentation. ahmed.allam@yale.edu or michael.krauthammer@yale.edu. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

A model of self-directed learning in internal medicine residency: a qualitative study using grounded theory.

PubMed

Sawatsky, Adam P; Ratelle, John T; Bonnes, Sara L; Egginton, Jason S; Beckman, Thomas J

2017-02-02

Existing theories of self-directed learning (SDL) have emphasized the importance of process, personal, and contextual factors. Previous medical education research has largely focused on the process of SDL. We explored the experience with and perception of SDL among internal medicine residents to gain understanding of the personal and contextual factors of SDL in graduate medical education. Using a constructivist grounded theory approach, we conducted 7 focus group interviews with 46 internal medicine residents at an academic medical center. We processed the data by using open coding and writing analytic memos. Team members organized open codes to create axial codes, which were applied to all transcripts. Guided by a previous model of SDL, we developed a theoretical model that was revised through constant comparison with new data as they were collected, and we refined the theory until it had adequate explanatory power and was appropriately grounded in the experiences of residents. We developed a theoretical model of SDL to explain the process, personal, and contextual factors affecting SDL during residency training. The process of SDL began with a trigger that uncovered a knowledge gap. Residents progressed to formulating learning objectives, using resources, applying knowledge, and evaluating learning. Personal factors included motivations, individual characteristics, and the change in approach to SDL over time. Contextual factors included the need for external guidance, the influence of residency program structure and culture, and the presence of contextual barriers. We developed a theoretical model of SDL in medical education that can be used to promote and assess resident SDL through understanding the process, person, and context of SDL.

Pubface: Celebrity face identification based on deep learning

NASA Astrophysics Data System (ADS)

Ouanan, H.; Ouanan, M.; Aksasse, B.

2018-05-01

In this paper, we describe a new real time application called PubFace, which allows to recognize celebrities in public spaces by employs a new pose invariant face recognition deep neural network algorithm with an extremely low error rate. To build this application, we make the following contributions: firstly, we build a novel dataset with over five million faces labelled. Secondly, we fine tuning the deep convolutional neural network (CNN) VGG-16 architecture on our new dataset that we have built. Finally, we deploy this model on the Raspberry Pi 3 model B using the OpenCv dnn module (OpenCV 3.3).

Game-Based Learning in an OpenSim-Supported Virtual Environment on Perceived Motivational Quality of Learning

ERIC Educational Resources Information Center

Kim, Heesung; Ke, Fengfeng; Paek, Insu

2017-01-01

This experimental study was intended to examine whether game-based learning (GBL) that encompasses four particular game characteristics (challenges, a storyline, immediate rewards and the integration of game-play with learning content) in an OpenSimulator-supported virtual reality learning environment can improve perceived motivational quality of…

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.

An Evaluation of Open Source Learning Management Systems According to Administration Tools and Curriculum Design

ERIC Educational Resources Information Center

Ozdamli, Fezile

2007-01-01

Distance education is becoming more important in the universities and schools. The aim of this research is to evaluate the current existing Open Source Learning Management Systems according to Administration tool and Curriculum Design. For this, seventy two Open Source Learning Management Systems have been subjected to a general evaluation. After…

A Framework for Developing Competencies in Open and Distance Learning

ERIC Educational Resources Information Center

Arinto, Patricia B.

2013-01-01

Many open universities and distance education institutions have shifted from a predominantly print-based mode of delivery to an online mode characterised by the use of virtual learning environments and various web technologies. This paper describes the impact of the shift to open and distance e-learning (ODeL), as this trend might be called, on…

MOOCs for Language Learning-Opportunities and Challenges: The Case of the Open University Italian Beginners' MOOCs

ERIC Educational Resources Information Center

Motzo, Anna; Proudfoot, Anna

2017-01-01

Massive Open Online Courses (MOOCs) are a fairly recent development in online education. Language MOOCs (LMOOCs) have recently been added to the ever-growing list of open courses offered by various providers, including FutureLearn. For learners, MOOCs offer an innovative and inexpensive alternative to formal and traditional learning. For course…

Open Learning: Resource Allocation and Control. Coombe Lodge Working Paper. Information Bank Number 1610.

ERIC Educational Resources Information Center

Latcham, Jack

In an effort to demonstrate that open learning can be accommodated within existing funding mechanisms in British colleges of further and higher education, this paper discusses issues concerned with determining the cost of Flexistudy and open learning delivery systems. After a review of the difficulties of estimating precisely the costs of various…

Adapting on Demand Examination System in National Open University of Nigeria End of Semester Examination

ERIC Educational Resources Information Center

Okonkwo, Charity Akuadi

2011-01-01

Teaching-learning process is incomplete without effective and meaningful assessment of students learning outcomes. This applies to both conventional modes of education as well as to open and distance learning modes. So far, conduct of examinations at the National Open University of Nigeria (NOUN), has been cumbersome and be-decked with "hydra…

Science Practical Work Instructional Technologies and Open Distance Learning in Science Teacher Training: A Case Study in Zimbabwe

ERIC Educational Resources Information Center

Bhukuvhani, Crispen; Mupa, Mathew; Mhishi, Misheck; Dziva, Daimond

2012-01-01

The practical work component offers unique challenges for university science courses. This is even more pertinent in an Open and Distance Learning (ODL) environment like the Bindura University of Science Education's Virtual and Open Distance Learning (VODL) programme. Effective ODL education should be flexible enough to accommodate science…

Atomicrex—a general purpose tool for the construction of atomic interaction models

NASA Astrophysics Data System (ADS)

Stukowski, Alexander; Fransson, Erik; Mock, Markus; Erhart, Paul

2017-07-01

We introduce atomicrex, an open-source code for constructing interatomic potentials as well as more general types of atomic-scale models. Such effective models are required to simulate extended materials structures comprising many thousands of atoms or more, because electronic structure methods become computationally too expensive at this scale. atomicrex covers a wide range of interatomic potential types and fulfills many needs in atomistic model development. As inputs, it supports experimental property values as well as ab initio energies and forces, to which models can be fitted using various optimization algorithms. The open architecture of atomicrex allows it to be used in custom model development scenarios beyond classical interatomic potentials while thanks to its Python interface it can be readily integrated e.g., with electronic structure calculations or machine learning algorithms.

Open Science and eGEMs: Our Role in Supporting a Culture of Collaboration in Learning Health Systems.

PubMed

Holve, Erin

2016-01-01

"Open science" includes a variety of approaches to facilitate greater access to data and the information produced by processes of scientific inquiry. Recently, the health sciences community has been grappling with the issue of potential pathways and models to achieve the goals of open science-namely, to create and rapidly share reproducible health research. eGEMs' continued dedication to and milestones regarding the publication of innovative, useful, and timely research to help contribute to the push towards open science is discussed, as well as the EDM Forum's new data sharing platform, CIELO. Although strides have been made, there is still more work to be done to help health sciences community truly embrace open science.

Family Open House

Science.gov Websites

Search Family Open House Join us for an afternoon of science fun. The Fermilab Family Open House is a party for children of all ages to learn about the world of physics. The Open House is supported by Open House? Check out our YouTube video to learn more! Explore physics concepts with hands-on

Supporting Learning in the Digital Age: E-Learning Strategies for NOUN (National Open University of Nigeria)

ERIC Educational Resources Information Center

Nkechinyere, Amadi Martha

2011-01-01

E-learning has long been celebrated as the solution to access in education. There seems to be a belief worldwide that by including e-learning technologies in learning packages, learners' success and economies of scale will be ensured in ODL (open and distance learning). New innovations like the internet and mobile technologies provide a great…

Remix as Professional Learning: Educators' Iterative Literacy Practice in CLMOOC

ERIC Educational Resources Information Center

Smith, Anna; West-Puckett, Stephanie; Cantrill, Christina; Zamora, Mia

2016-01-01

The Connected Learning Massive Open Online Collaboration (CLMOOC) is an online professional development experience designed as an openly networked, production-centered, participatory learning collaboration for educators. Addressing the paucity of research that investigates learning processes in MOOC experiences, this paper examines the situated…

Developing Responsible Leadership through a "Pedagogy of Challenge": An Investigation into the Impact of Leadership Education on Teenagers

ERIC Educational Resources Information Center

Higham, Rupert; Freathy, Rob; Wegerif, Rupert

2010-01-01

This paper proposes a new model for understanding education through "responsible leadership"--a term which draws on the models of distributed and authentic leadership and on a dialogic understanding of responsible action. It defines "dispositions for learning" as different forms of the single quality of "openness to…

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.

Rats with congenital learned helplessness respond less to sucrose but show no deficits in activity or learning.

PubMed

Vollmayr, Barbara; Bachteler, Daniel; Vengeliene, Valentina; Gass, Peter; Spanagel, Rainer; Henn, Fritz

2004-04-02

Inbred rat strains for congenital learned helplessness (cLH) and for congenital resistance to learned helplessness (cNLH) were investigated as a model to study genetic predisposition to major depression. Congenitally helpless rats respond less to sucrose under a progressive ratio schedule. This is not confounded by locomotor hypoactivity: in contrast, cLH rats show a slight hyperactivity during the first 5 min of an open field test. cLH rats acquire operant responding to sucrose as readily as cNLH rats and exhibit normal memory acquisition and retrieval in the Morris water maze, thus ruling out general learning deficits as the cause of the decreased response to sucrose. Reduced total responses and reduced breaking points for sucrose in the cLH strain argue for anhedonia, which is an analogue to loss of pleasure essential for the diagnosis of major depressive episodes, and thus confirm the validity of congenitally learned helpless rats as a model of major depression.

Digital curation and online resources: digital scanning of surgical tools at the royal college of physicians and surgeons of Glasgow for an open university learning resource.

PubMed

Earley, Kirsty; Livingstone, Daniel; Rea, Paul M

2017-01-01

Collection preservation is essential for the cultural status of any city. However, presenting a collection publicly risks damage. Recently this drawback has been overcome by digital curation. Described here is a method of digitisation using photogrammetry and virtual reality software. Items were selected from the Royal College of Physicians and Surgeons of Glasgow archives, and implemented into an online learning module for the Open University. Images were processed via Agisoft Photoscan, Autodesk Memento, and Garden Gnome Object 2VR. Although problems arose due to specularity, 2VR digital models were developed for online viewing. Future research must minimise the difficulty of digitising specular objects.

A smarter way to search, share and utilize open-spatial online data for energy R&D - Custom machine learning and GIS tools in U.S. DOE's virtual data library & laboratory, EDX

NASA Astrophysics Data System (ADS)

Rose, K.; Bauer, J.; Baker, D.; Barkhurst, A.; Bean, A.; DiGiulio, J.; Jones, K.; Jones, T.; Justman, D.; Miller, R., III; Romeo, L.; Sabbatino, M.; Tong, A.

2017-12-01

As spatial datasets are increasingly accessible through open, online systems, the opportunity to use these resources to address a range of Earth system questions grows. Simultaneously, there is a need for better infrastructure and tools to find and utilize these resources. We will present examples of advanced online computing capabilities, hosted in the U.S. DOE's Energy Data eXchange (EDX), that address these needs for earth-energy research and development. In one study the computing team developed a custom, machine learning, big data computing tool designed to parse the web and return priority datasets to appropriate servers to develop an open-source global oil and gas infrastructure database. The results of this spatial smart search approach were validated against expert-driven, manual search results which required a team of seven spatial scientists three months to produce. The custom machine learning tool parsed online, open systems, including zip files, ftp sites and other web-hosted resources, in a matter of days. The resulting resources were integrated into a geodatabase now hosted for open access via EDX. Beyond identifying and accessing authoritative, open spatial data resources, there is also a need for more efficient tools to ingest, perform, and visualize multi-variate, spatial data analyses. Within the EDX framework, there is a growing suite of processing, analytical and visualization capabilities that allow multi-user teams to work more efficiently in private, virtual workspaces. An example of these capabilities are a set of 5 custom spatio-temporal models and data tools that form NETL's Offshore Risk Modeling suite that can be used to quantify oil spill risks and impacts. Coupling the data and advanced functions from EDX with these advanced spatio-temporal models has culminated with an integrated web-based decision-support tool. This platform has capabilities to identify and combine data across scales and disciplines, evaluate potential environmental, social, and economic impacts, highlight knowledge or technology gaps, and reduce uncertainty for a range of `what if' scenarios relevant to oil spill prevention efforts. These examples illustrate EDX's growing capabilities for advanced spatial data search and analysis to support geo-data science needs.

A Predictive Study of Learner Attitudes toward Open Learning in a Robotics Class

ERIC Educational Resources Information Center

Avsec, Stanislav; Rihtarsic, David; Kocijancic, Slavko

2014-01-01

Open learning (OL) strives to transform teaching and learning by applying learning science and emerging technologies to increase student success, improve learning productivity, and lower barriers to access. OL of robotics has a significant growth rate in secondary and/or high schools, but failures exist. Little is known about why many users stop…

The Development of Online Tutorial Program Design Using Problem-Based Learning in Open Distance Learning System

ERIC Educational Resources Information Center

Said, Asnah; Syarif, Edy

2016-01-01

This research aimed to evaluate of online tutorial program design by applying problem-based learning Research Methods currently implemented in the system of Open Distance Learning (ODL). The students must take a Research Methods course to prepare themselves for academic writing projects. Problem-based learning basically emphasizes the process of…

From Reload to ReCourse: Learning from IMS Learning Design Implementations

ERIC Educational Resources Information Center

Griffiths, David; Beauvoir, Phillip; Liber, Oleg; Barrett-Baxendale, Mark

2009-01-01

The use of the Web to deliver open, distance, and flexible learning has opened up the potential for social interaction and adaptive learning, but the usability, expressivity, and interoperability of the available tools leave much to be desired. This article explores these issues as they relate to teachers and learning designers through the case of…

Exploring the Effectiveness of Self-Regulated Learning in Massive Open Online Courses on Non-Native English Speakers

ERIC Educational Resources Information Center

Chung, Liang-Yi

2015-01-01

Massive Open Online Courses (MOOCs) are expanding the scope of online distance learning in the creation of a cross-country global learning environment. For learners worldwide, MOOCs offer a wealth of online learning resources. However, such a diversified environment makes the learning process complicated and challenging. To achieve their…

Implications of the University of South Africa's (UNISA) Shift to Open Distance e-Learning on Teacher Education

ERIC Educational Resources Information Center

Ngubane-Mokiwa, Sindile A.

2017-01-01

This conceptual and exploratory article seeks to explore the implications of the University of South Africa's (Unisa) shift from open distance learning (ODL) to open distance e-learning (ODeL) on Teacher Education. In addition, the article problematizes the shift as a policy imperative. Unisa's mandate to provide teacher education opportunities to…

Knowledge Typologies for Professional Learning: Educators' (Re)Generation of Knowledge When Learning Open Educational Practice

ERIC Educational Resources Information Center

Hood, Nina; Littlejohn, Allison

2017-01-01

Open education resources (OER) and accompanying open education practices (OEP), are changing the education landscape. For educators to take full advantage of the opportunities OER offer they must engage in learning activities to facilitate the extension and adaption of their practice. This paper forms part of a larger study exploring how adult…

Increasing Access to Higher Education through Open and Distance Learning: Empirical Findings from Mzuzu University, Malawi

ERIC Educational Resources Information Center

Chawinga, Winner Dominic; Zozie, Paxton Andrew

2016-01-01

Slowly but surely, open and distance learning (ODL) programmes are being regarded as one of the most practical ways that universities across the world are increasingly adopting in order to increase access to university education. Likewise, Mzuzu University (MZUNI) set up the Centre for Open and Distance Learning (CODL) to oversee the running of…

Building Capacity for Open and Distance Learning (ODL) in West Africa Sub-Region: The Pivotal Role of RETRIDAL

ERIC Educational Resources Information Center

Amini, Clifford; Oluyide, Oluwaseun

2016-01-01

The paper posits the Regional Training and Research Institute for Distance and Open Learning (RETRIDAL) as an institution established for the purpose of enhancing Open and Distance Learning in the West African sub-region. The institute has pursued this mandate with an unparalleled vigour since its establishment in 2003--a partnership of the…

Enrolment Statistics in Open Learning Systems. Coombe Lodge Working Paper. Information Bank Number 1582.

ERIC Educational Resources Information Center

Latcham, Jack

The development and extension of open learning systems in British institutions of further and higher education has given rise to a need for changes in the methods of recording student progress. Open learning systems' provision of a wide flexibility of pace so that students can extend or compress their periods of study as compared with traditional…

Something for Everyone? The Different Approaches of Academic Disciplines to Open Educational Resources and the Effect on Widening Participation

ERIC Educational Resources Information Center

Coughlan, Tony; Perryman, Leigh-Anne

2011-01-01

This article explores the relationship between academic disciplines' representation in the United Kingdom Open University's (OU) OpenLearn open educational resources (OER) repository and in the OU's fee-paying curriculum. Becher's (1989) typology was used to subdivide the OpenLearn and OU fee-paying curriculum content into four disciplinary…

Online and Certifiable Spectroscopy Courses Using Information and Communication Tools. a Model for Classrooms and Beyond

NASA Astrophysics Data System (ADS)

Krishnan, Mangala Sunder

2015-06-01

Online education tools and flipped (reverse) class models for teaching and learning and pedagogic and andragogic approaches to self-learning have become quite mature in the last few years because of the revolution in video, interactive software and social learning tools. Open Educational resources of dependable quality and variety are also becoming available throughout the world making the current era truly a renaissance period for higher education using Internet. In my presentation, I shall highlight structured course content preparation online in several areas of spectroscopy and also the design and development of virtual lab tools and kits for studying optical spectroscopy. Both elementary and advanced courses on molecular spectroscopy are currently under development jointly with researchers in other institutions in India. I would like to explore participation from teachers throughout the world in the teaching-learning process using flipped class methods for topics such as experimental and theoretical microwave spectroscopy of semi-rigid and non-rigid molecules, molecular complexes and aggregates. In addition, courses in Raman, Infrared spectroscopy experimentation and advanced electronic spectroscopy courses are also envisaged for free, online access. The National Programme on Technology Enhanced Learning (NPTEL) and the National Mission on Education through Information and Communication Technology (NMEICT) are two large Government of India funded initiatives for producing certified and self-learning courses with financial support for moderated discussion forums. The learning tools and interactive presentations so developed can be used in classrooms throughout the world using flipped mode of teaching. They are very much sought after by learners and researchers who are in other areas of learning but want to contribute to research and development through inter-disciplinary learning. NPTEL is currently is experimenting with Massive Open Online Course (MOOC) strategy, but with proctored and certified examination processes for large numbers in some of the above courses. I would like to present a summary of developments in these areas to help focus classroom (online and offline) learning of Molecular spectroscopy.

Analysis of student’s scientific attitude behaviour change effects blended learning supported by I-spring Suite 8 application

NASA Astrophysics Data System (ADS)

Budiharti, Rini; Waras, N. S.

2018-05-01

This article aims to describe the student’s scientific attitude behaviour change as treatment effect of Blended Learning supported by I-Spring Suite 8 application on the material balance and the rotational dynamics. Blended Learning models is learning strategy that integrate between face-to-face learning and online learning by combination of various media. Blended Learning model supported I-Spring Suite 8 media setting can direct learning becomes interactive. Students are guided to actively interact with the media as well as with other students to discuss getting the concept by the phenomena or facts presented. The scientific attitude is a natural attitude of students in the learning process. In interactive learning, scientific attitude is so needed. The research was conducted using a model Lesson Study which consists of the stages Plan-Do-Check-Act (PDCA) and applied to the subject of learning is students at class XI MIPA 2 of Senior High School 6 Surakarta. The validity of the data used triangulation techniques of observation, interviews and document review. Based on the discussion, it can be concluded that the use of Blended Learning supported media I-Spring Suite 8 is able to give the effect of changes in student behaviour on all dimensions of scientific attitude that is inquisitive, respect the data or fact, critical thinking, discovery and creativity, open minded and cooperation, and perseverance. Display e-learning media supported student worksheet makes the students enthusiastically started earlier, the core until the end of learning

Data Standardization for Carbon Cycle Modeling: Lessons Learned

NASA Astrophysics Data System (ADS)

Wei, Y.; Liu, S.; Cook, R. B.; Post, W. M.; Huntzinger, D. N.; Schwalm, C.; Schaefer, K. M.; Jacobson, A. R.; Michalak, A. M.

2012-12-01

Terrestrial biogeochemistry modeling is a crucial component of carbon cycle research and provides unique capabilities to understand terrestrial ecosystems. The Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) aims to identify key differences in model formulation that drive observed differences in model predictions of biospheric carbon exchange. To do so, the MsTMIP framework provides standardized prescribed environmental driver data and a standard model protocol to facilitate comparisons of modeling results from nearly 30 teams. Model performance is then evaluated against a variety of carbon-cycle related observations (remote sensing, atmospheric, and flux tower-based observations) using quantitative performance measures and metrics in an integrated evaluation framework. As part of this effort, we have harmonized highly diverse and heterogeneous environmental driver data, model outputs, and observational benchmark data sets to facilitate use and analysis by the MsTMIP team. In this presentation, we will describe the lessons learned from this data-intensive carbon cycle research. The data harmonization activity itself can be made more efficient with the consideration of proper tools, version control, workflow management, and collaboration within the whole team. The adoption of on-demand and interoperable protocols (e.g. OPeNDAP and Open Geospatial Consortium) makes data visualization and distribution more flexible. Users can customize and download data in specific spatial extent, temporal period, and different resolutions. The effort to properly organize data in an open and standard format (e.g. Climate & Forecast compatible netCDF) allows the data to be analysed by a dispersed set of researchers more efficiently, and maximizes the longevity and utilization of the data. The lessons learned from this specific experience can benefit efforts by the broader community to leverage diverse data resources more efficiently in scientific research.

Outdoor Education: Opening and Closing Activities.

ERIC Educational Resources Information Center

Mingie, Walter, Comp.

Opening activites (to create an atmosphere of cooperation and a desire to work, explore, and learn together) and closing activities (to summarize what has happened or been learned) for outdoor education programs are described. All activities are intended to incite enthusiasm to learn and make the learning activity a desired, joyful experience.…

Do Open Educational Resources and Cloud Classroom Really Improve Students' Learning?

ERIC Educational Resources Information Center

Tsai, Chia-Wen; Shen, Pei-Di

2014-01-01

More and more educational institutions are using educational technologies and online learning materials to help students achieve satisfactory learning effects. However, not all teachers are able to prepare and design digital learning materials for students. This research attempted to empirically demonstrate the effects of applying open educational…

Mobile Learning: Readiness and Perceptions of Teachers of Open Universities of Commonwealth Asia

ERIC Educational Resources Information Center

Miglani, Anshu; Awadhiya, Ashish Kumar

2017-01-01

Integration of "Mobile Learning" (m-learning) in Open and Distance Learning (ODL) systems can play a crucial role in reducing the "Digital Divide" and strengthening "Democratization of Education" by providing quality educational opportunities and access to information quickly at affordable cost in Commonwealth Asian…

Exploring Moodle Functionality for Managing Open Distance Learning E-Assessments

ERIC Educational Resources Information Center

Koneru, Indira

2017-01-01

Current and emerging technologies enable Open Distance Learning (ODL) institutions integrate e-Learning in innovative ways and add value to the existing teaching-learning and assessment processes. ODL e-Assessment systems have evolved from Computer Assisted/Aided Assessment (CAA) systems through intelligent assessment and feedback systems.…

Application of crowd-sourced data to multi-scale evolutionary exposure and vulnerability models

NASA Astrophysics Data System (ADS)

Pittore, Massimiliano

2016-04-01

Seismic exposure, defined as the assets (population, buildings, infrastructure) exposed to earthquake hazard and susceptible to damage, is a critical -but often neglected- component of seismic risk assessment. This partly stems from the burden associated with the compilation of a useful and reliable model over wide spatial areas. While detailed engineering data have still to be collected in order to constrain exposure and vulnerability models, the availability of increasingly large crowd-sourced datasets (e. g. OpenStreetMap) opens up the exciting possibility to generate incrementally evolving models. Integrating crowd-sourced and authoritative data using statistical learning methodologies can reduce models uncertainties and also provide additional drive and motivation to volunteered geoinformation collection. A case study in Central Asia will be presented and discussed.

An Adaptive Resonance Theory account of the implicit learning of orthographic word forms.

PubMed

Glotin, H; Warnier, P; Dandurand, F; Dufau, S; Lété, B; Touzet, C; Ziegler, J C; Grainger, J

2010-01-01

An Adaptive Resonance Theory (ART) network was trained to identify unique orthographic word forms. Each word input to the model was represented as an unordered set of ordered letter pairs (open bigrams) that implement a flexible prelexical orthographic code. The network learned to map this prelexical orthographic code onto unique word representations (orthographic word forms). The network was trained on a realistic corpus of reading textbooks used in French primary schools. The amount of training was strictly identical to children's exposure to reading material from grade 1 to grade 5. Network performance was examined at each grade level. Adjustment of the learning and vigilance parameters of the network allowed us to reproduce the developmental growth of word identification performance seen in children. The network exhibited a word frequency effect and was found to be sensitive to the order of presentation of word inputs, particularly with low frequency words. These words were better learned with a randomized presentation order compared with the order of presentation in the school books. These results open up interesting perspectives for the application of ART networks in the study of the dynamics of learning to read. 2009 Elsevier Ltd. All rights reserved.

An Introduction to the Inverted/Flipped Classroom Model in Education and Advanced Training in Medicine and in the Healthcare Professions.

PubMed

Tolks, Daniel; Schäfer, Christine; Raupach, Tobias; Kruse, Leona; Sarikas, Antonio; Gerhardt-Szép, Susanne; Kllauer, Gertrud; Lemos, Martin; Fischer, Martin R; Eichner, Barbara; Sostmann, Kai; Hege, Inga

2016-01-01

In describing the inverted classroom model (ICM), the following paper is meant to provide an introduction to the subject matter and to serve as a practical guide for those wishing to employ its methods in basic and advanced medical training and education. The ICM is a blended-learning method in which a self-directed learning phase (individual phase) precedes the classroom-instruction phase. During the online phase, factual knowledge is imparted that serves as a basis for the classroom phase. The classroom phase should subsequently be used to assimilate and implement the previously gained knowledge. In contrast, traditional course concepts impart factual knowledge in lectures, for example, or in other face-to-face teaching formats and are followed by the students' self-instruction in order to assimilate this knowledge. The goal of the ICM is the shift from passive learning to accelerated learning in order to foster learning at cognitively demanding levels such as analysis, synthesis and evaluation. The concurrent increase in production and use of screencasts and educational videos, the Open Educational Resources "movement" and the widespread use of Massive Open Online Courses (MOOCS) have contributed to the increased dissemination of the inverted-classroom method. The intention of the present paper is to provide an introduction to the subject matter and simultaneously to offer a short overview of important projects and research results in the field of medical education and other health professions. Furthermore, an outline is given of the advantages and disadvantages of the model as well as its potential benefit to the future of medical education and training.

An Introduction to the Inverted/Flipped Classroom Model in Education and Advanced Training in Medicine and in the Healthcare Professions

PubMed Central

Tolks, Daniel; Schäfer, Christine; Raupach, Tobias; Kruse, Leona; Sarikas, Antonio; Gerhardt-Szép, Susanne; Kllauer, Gertrud; Lemos, Martin; Fischer, Martin R.; Eichner, Barbara; Sostmann, Kai; Hege, Inga

2016-01-01

In describing the inverted classroom model (ICM), the following paper is meant to provide an introduction to the subject matter and to serve as a practical guide for those wishing to employ its methods in basic and advanced medical training and education. The ICM is a blended-learning method in which a self-directed learning phase (individual phase) precedes the classroom-instruction phase. During the online phase, factual knowledge is imparted that serves as a basis for the classroom phase. The classroom phase should subsequently be used to assimilate and implement the previously gained knowledge. In contrast, traditional course concepts impart factual knowledge in lectures, for example, or in other face-to-face teaching formats and are followed by the students’ self-instruction in order to assimilate this knowledge. The goal of the ICM is the shift from passive learning to accelerated learning in order to foster learning at cognitively demanding levels such as analysis, synthesis and evaluation. The concurrent increase in production and use of screencasts and educational videos, the Open Educational Resources “movement” and the widespread use of Massive Open Online Courses (MOOCS) have contributed to the increased dissemination of the inverted-classroom method. The intention of the present paper is to provide an introduction to the subject matter and simultaneously to offer a short overview of important projects and research results in the field of medical education and other health professions. Furthermore, an outline is given of the advantages and disadvantages of the model as well as its potential benefit to the future of medical education and training. PMID:27275511

A model of the pre-assessment learning effects of assessment is operational in an undergraduate clinical context

PubMed Central

2012-01-01

Background No validated model exists to explain the learning effects of assessment, a problem when designing and researching assessment for learning. We recently developed a model explaining the pre-assessment learning effects of summative assessment in a theory teaching context. The challenge now is to validate this model. The purpose of this study was to explore whether the model was operational in a clinical context as a first step in this process. Methods Given the complexity of the model, we adopted a qualitative approach. Data from in-depth interviews with eighteen medical students were subject to content analysis. We utilised a code book developed previously using grounded theory. During analysis, we remained alert to data that might not conform to the coding framework and open to the possibility of deploying inductive coding. Ethical clearance and informed consent were obtained. Results The three components of the model i.e., assessment factors, mechanism factors and learning effects were all evident in the clinical context. Associations between these components could all be explained by the model. Interaction with preceptors was identified as a new subcomponent of assessment factors. The model could explain the interrelationships of the three facets of this subcomponent i.e., regular accountability, personal consequences and emotional valence of the learning environment, with previously described components of the model. Conclusions The model could be utilized to analyse and explain observations in an assessment context different to that from which it was derived. In the clinical setting, the (negative) influence of preceptors on student learning was particularly prominent. In this setting, learning effects resulted not only from the high-stakes nature of summative assessment but also from personal stakes, e.g. for esteem and agency. The results suggest that to influence student learning, consequences should accrue from assessment that are immediate, concrete and substantial. The model could have utility as a planning or diagnostic tool in practice and research settings. PMID:22420839

How Open Data Shapes In Silico Transporter Modeling.

PubMed

Montanari, Floriane; Zdrazil, Barbara

2017-03-07

Chemical compound bioactivity and related data are nowadays easily available from open data sources and the open medicinal chemistry literature for many transmembrane proteins. Computational ligand-based modeling of transporters has therefore experienced a shift from local (quantitative) models to more global, qualitative, predictive models. As the size and heterogeneity of the data set rises, careful data curation becomes even more important. This includes, for example, not only a tailored cutoff setting for the generation of binary classes, but also the proper assessment of the applicability domain. Powerful machine learning algorithms (such as multi-label classification) now allow the simultaneous prediction of multiple related targets. However, the more complex, the less interpretable these models will get. We emphasize that transmembrane transporters are very peculiar, some of which act as off-targets rather than as real drug targets. Thus, careful selection of the right modeling technique is important, as well as cautious interpretation of results. We hope that, as more and more data will become available, we will be able to ameliorate and specify our models, coming closer towards function elucidation and the development of safer medicine.

From Learning in Coffee Houses to Learning with Open Educational Resources

ERIC Educational Resources Information Center

Peter, Sandra; Farrell, Lesley

2013-01-01

What is "open" about Open Educational Resources? How does education become "open" when it is removed from the institutional housing of the school or the university and develops in public social settings? Has the Internet, in providing educational content without cost and free of copyright restrictions, provoked a unique and…

Implementing Open Source Platform for Education Quality Enhancement in Primary Education: Indonesia Experience

ERIC Educational Resources Information Center

Kisworo, Marsudi Wahyu

2016-01-01

Information and Communication Technology (ICT)-supported learning using free and open source platform draws little attention as open source initiatives were focused in secondary or tertiary educations. This study investigates possibilities of ICT-supported learning using open source platform for primary educations. The data of this study is taken…

Development of a Portable Motor Learning Laboratory (PoMLab)

PubMed Central

Shinya, Masahiro

2016-01-01

Most motor learning experiments have been conducted in a laboratory setting. In this type of setting, a huge and expensive manipulandum is frequently used, requiring a large budget and wide open space. Subjects also need to travel to the laboratory, which is a burden for them. This burden is particularly severe for patients with neurological disorders. Here, we describe the development of a novel application based on Unity3D and smart devices, e.g., smartphones or tablet devices, that can be used to conduct motor learning experiments at any time and in any place, without requiring a large budget and wide open space and without the burden of travel on subjects. We refer to our application as POrtable Motor learning LABoratory, or PoMLab. PoMLab is a multiplatform application that is available and sharable for free. We investigated whether PoMLab could be an alternative to the laboratory setting using a visuomotor rotation paradigm that causes sensory prediction error, enabling the investigation of how subjects minimize the error. In the first experiment, subjects could adapt to a constant visuomotor rotation that was abruptly applied at a specific trial. The learning curve for the first experiment could be modeled well using a state space model, a mathematical model that describes the motor leaning process. In the second experiment, subjects could adapt to a visuomotor rotation that gradually increased each trial. The subjects adapted to the gradually increasing visuomotor rotation without being aware of the visuomotor rotation. These experimental results have been reported for conventional experiments conducted in a laboratory setting, and our PoMLab application could reproduce these results. PoMLab can thus be considered an alternative to the laboratory setting. We also conducted follow-up experiments in university physical education classes. A state space model that was fit to the data obtained in the laboratory experiments could predict the learning curves obtained in the follow-up experiments. Further, we investigated the influence of vibration function, weight, and screen size on learning curves. Finally, we compared the learning curves obtained in the PoMLab experiments to those obtained in the conventional reaching experiments. The results of the in-class experiments show that PoMLab can be used to conduct motor learning experiments at any time and place. PMID:27348223

Development of a Portable Motor Learning Laboratory (PoMLab).

PubMed

Takiyama, Ken; Shinya, Masahiro

2016-01-01

Most motor learning experiments have been conducted in a laboratory setting. In this type of setting, a huge and expensive manipulandum is frequently used, requiring a large budget and wide open space. Subjects also need to travel to the laboratory, which is a burden for them. This burden is particularly severe for patients with neurological disorders. Here, we describe the development of a novel application based on Unity3D and smart devices, e.g., smartphones or tablet devices, that can be used to conduct motor learning experiments at any time and in any place, without requiring a large budget and wide open space and without the burden of travel on subjects. We refer to our application as POrtable Motor learning LABoratory, or PoMLab. PoMLab is a multiplatform application that is available and sharable for free. We investigated whether PoMLab could be an alternative to the laboratory setting using a visuomotor rotation paradigm that causes sensory prediction error, enabling the investigation of how subjects minimize the error. In the first experiment, subjects could adapt to a constant visuomotor rotation that was abruptly applied at a specific trial. The learning curve for the first experiment could be modeled well using a state space model, a mathematical model that describes the motor leaning process. In the second experiment, subjects could adapt to a visuomotor rotation that gradually increased each trial. The subjects adapted to the gradually increasing visuomotor rotation without being aware of the visuomotor rotation. These experimental results have been reported for conventional experiments conducted in a laboratory setting, and our PoMLab application could reproduce these results. PoMLab can thus be considered an alternative to the laboratory setting. We also conducted follow-up experiments in university physical education classes. A state space model that was fit to the data obtained in the laboratory experiments could predict the learning curves obtained in the follow-up experiments. Further, we investigated the influence of vibration function, weight, and screen size on learning curves. Finally, we compared the learning curves obtained in the PoMLab experiments to those obtained in the conventional reaching experiments. The results of the in-class experiments show that PoMLab can be used to conduct motor learning experiments at any time and place.

Using i2b2 to Bootstrap Rural Health Analytics and Learning Networks

PubMed Central

Harris, Daniel R.; Baus, Adam D.; Harper, Tamela J.; Jarrett, Traci D.; Pollard, Cecil R.; Talbert, Jeffery C.

2017-01-01

We demonstrate that the open-source i2b2 (Informatics for Integrating Biology and the Bedside) data model can be used to bootstrap rural health analytics and learning networks. These networks promote communication and research initiatives by providing the infrastructure necessary for sharing data and insights across a group of healthcare and research partners. Data integration remains a crucial challenge in connecting rural healthcare sites with a common data sharing and learning network due to the lack of interoperability and standards within electronic health records. The i2b2 data model acts as a point of convergence for disparate data from multiple healthcare sites. A consistent and natural data model for healthcare data is essential for overcoming integration issues, but challenges such as those caused by weak data standardization must still be addressed. We describe our experience in the context of building the West Virginia/Kentucky Health Analytics and Learning Network, a collaborative, multi-state effort connecting rural healthcare sites. PMID:28261006

Using i2b2 to Bootstrap Rural Health Analytics and Learning Networks.

PubMed

Harris, Daniel R; Baus, Adam D; Harper, Tamela J; Jarrett, Traci D; Pollard, Cecil R; Talbert, Jeffery C

2016-08-01

We demonstrate that the open-source i2b2 (Informatics for Integrating Biology and the Bedside) data model can be used to bootstrap rural health analytics and learning networks. These networks promote communication and research initiatives by providing the infrastructure necessary for sharing data and insights across a group of healthcare and research partners. Data integration remains a crucial challenge in connecting rural healthcare sites with a common data sharing and learning network due to the lack of interoperability and standards within electronic health records. The i2b2 data model acts as a point of convergence for disparate data from multiple healthcare sites. A consistent and natural data model for healthcare data is essential for overcoming integration issues, but challenges such as those caused by weak data standardization must still be addressed. We describe our experience in the context of building the West Virginia/Kentucky Health Analytics and Learning Network, a collaborative, multi-state effort connecting rural healthcare sites.

Facilitating learning through an international virtual collaborative practice: A case study.

PubMed

Wihlborg, Monne; Friberg, Elizabeth E; Rose, Karen M; Eastham, Linda

2018-02-01

Internationalisation of higher education involving information and communication technology such as e-learning opens opportunities for innovative learning approaches across nations and cultures. Describe a case in practice of collaborative and transformative learning in relation to 'internationalisation on home grounds' with the broader learning objective of 'becoming aware and knowledgeable'. A mutually developed project established a virtual international collaborative exchange for faculty and students using a course management software (MOODLE) and open access technology (Adobe CONNECT). Two research universities in Sweden and the United States. Approximately 90 nursing students from each university per semester over several semesters. A collaborative process to develop a joint learning community to construct a virtual module and learning activity involving academics and nursing students in two countries using principles of meaning construction and negotiated learning. Developed possibilities for dealing with the challenges and finding strategies for a future higher education system that opens dialogues worldwide. Virtual international exchanges open innovative communication and learning contexts across nations and cultures. Internationalisation is so much more than students and teachers' mobility. 'Internationalisation on home grounds' (internationalisation for all) should receive more attention to support faculty and student collaboration, learning, and professional development. Copyright © 2017 Elsevier Ltd. All rights reserved.

[Effects of quercetin on the learning and memory ability of neonatal rats with hypoxic-ischemic brain damage].

PubMed

Huang, Jing-Jing; Liu, Xuan; Wang, Xing-Qi; Yang, Li-Hua; Qi, Da-Shi; Yao, Rui-Qin

2012-06-01

To study the effects of quercetin, a flavonoid, on the learning and memory ability of 3-day-old neonatal rats with hypoxic-ischemic brain white matter damage (WMD). Sixty 3-day-old Sprague-Dawley rats were randomly divided into four groups: control, WMD model,and quercetin treatment groups (20 and 40 mg/kg). There were 15 rats in each group. Rats in the WMD model and the two quercetin treatment groups were subjected to right common carotid artery ligation followed by 2 hrs of exposure to 8% O2 to induce periventricular white matter injury. After the operation quercetin was administered daily in the two quercetin treatment groups for 6 weeks. Six weeks later, Morris water maze and open-field tests were carried out to test memory and learning ability as well as behavior and cognition. From the second day of training, escape latency in the Morris water maze test was more prolonged in the WMD model group than in the control group (P<0.01). The escape latency in the two quercetin treatment groups was shortened significantly compared with the WMD model group (P<0.05). The WMD model group crossed the original platform fewer times compared with the control and quercetin treatment groups (P<0.05). The open-field test indicated that the number of rearings increased and time spent in the centre was extended in the WMD model group compared with the control group. Compared with the WMD model group, the number of rearings was significantly reduced (P<0.05) and time spent in the centre was significantly shortened in the quercetin treatment groups (P<0.05). Quercetin treatment can improve memory and learning ability as well as cognitive ability in neonates with WMD, suggesting that quercetin protects against WMD resulting from hypoxia-ischemia.

Open and Distance Learning: Case Studies from Industry and Education. Open and Distance Learning Series.

ERIC Educational Resources Information Center

Brown, Stephen C., Ed.

This book contains 14 case studies, written by those involved in the teaching and training initiatives, that illustrate the use of open and distance learning strategies. The case studies, drawn from many parts of the world (but mostly British based), feature efforts in large and small companies in a variety of industries. The first part of the…

Upscaling the Number of Learners, Fragmenting the Role of Teachers: How Do Massive Open Online Courses (MOOCs) Form New Conditions for Learning Design?

ERIC Educational Resources Information Center

Buhl, Mie; Andreasen, Lars Birch; Pushpanadham, Karanam

2018-01-01

The proliferation and expansion of massive open online courses (MOOCs) prompts a need to revisit classical pedagogical questions. In what ways will MOOCs facilitate and promote new e-learning pedagogies? Is current learning design adequate for the "massiveness" and "openness" of MOOCs? This article discusses the ways in which…

Accounting for Academic Staff Resources for the Tutorial Support of Open Learning. Coombe Lodge Working Paper. Information Bank Number 1605.

ERIC Educational Resources Information Center

Birch, Derek W.; Latcham, Jack

The problems of resource allocation and management within open learning systems in colleges of further and higher education in Britain are discussed in this paper, with particular focus on the deployment of academic staff. First, the components of open learning systems are outlined; e.g., providing materials for students' private study, grading…

Forum 76; a Modern Chautauqua. Proceedings of the National Conference on Open Learning and Nontraditional Study (3rd, Lincoln, Nebraska, June 15-17, 1976).

ERIC Educational Resources Information Center

Cavert, C. Edward, Comp.

This third national conference on open learning and nontraditional study attempted to demonstrate cooperative efforts across the country and to show how open learning and nontraditional study relate to unified efforts to achieve common goals. Topics discussed at the conference included: (1) the national overview, (2) military training programs,…

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

Open-Universe Theory for Bayesian Inference, Decision, and Sensing (OUTBIDS)

DTIC Science & Technology

2014-01-01

using a novel dynamic programming algorithm [6]. The second allows for tensor data, in which observations at a given time step exhibit...unlimited. 5 We developed a dynamical tensor model that gives far better estimation and system- identification results than the standard vectorization...inference. Third, unlike prior work that learns different pieces of the model independently, use matching between 3D models and 2D views and/or voting

Developing a Model and Applications for Probabilities of Student Success: A Case Study of Predictive Analytics

ERIC Educational Resources Information Center

Calvert, Carol Elaine

2014-01-01

This case study relates to distance learning students on open access courses. It demonstrates the use of predictive analytics to generate a model of the probabilities of success and retention at different points, or milestones, in a student journey. A core set of explanatory variables has been established and their varying relative importance at…

Development of Open Brain Simulator for Human Biomechatronics

NASA Astrophysics Data System (ADS)

Otake, Mihoko; Takagi, Toshihisa; Asama, Hajime

Modeling and simulation based on mechanisms is important in order to design and control mechatronic systems. In particular, in-depth understanding and realistic modeling of biological systems is indispensable for biomechatronics. This paper presents open brain simulator, which estimates the neural state of human through external measurement for the purpose of improving motor and social skills. Macroscopic anatomical nervous systems model was built which can be connected to the musculoskeletal model. Microscopic anatomical and physiological neural models were interfaced to the macroscopic model. Neural activities of somatosensory area and Purkinje cell were calculated from motion capture data. The simulator provides technical infrastructure for human biomechatronics, which is promising for the novel diagnosis of neurological disorders and their treatments through medication and movement therapy, and for motor learning support system supporting acquisition of motor skill considering neural mechanism.

The Educational Process in the Emerging Information Society: Conditions for the Reversal of the Linear Model of Education and the Development of an Open Type Hybrid Learning Environment.

ERIC Educational Resources Information Center

Anastasiades, Panagiotes S.; Retalis, Simos

The introduction of communications and information technologies in the area of education tends to create a totally different environment, which is marked by a change of the teacher's role and a transformation of the basic components that make up the meaning and content of the learning procedure as a whole. It could be said that, despite any…

Using Coherence Analysis to Characterize Self-Regulated Learning Behaviours in Open-Ended Learning Environments

ERIC Educational Resources Information Center

Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam

2015-01-01

Researchers have long recognized the potential benefits of open-ended computer- based learning environments (OELEs) to help students develop self-regulated learning (SRL) behaviours. However, measuring self-regulation in these environments is a difficult task. In this paper, we present our work in developing and evaluating "coherence…

Design of Open Content Social Learning Based on the Activities of Learner and Similar Learners

ERIC Educational Resources Information Center

John, Benneaser; Jayakumar, J.; Thavavel, V.; Arumugam, Muthukumar; Poornaselvan, K. J.

2017-01-01

Teaching and learning are increasingly taking advantage of the rapid growth in Internet resources, open content, mobile technologies and social media platforms. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains challenging. In an effort to close this gap, the authors…

Developing a User Oriented Design Methodology for Learning Activities Using Boundary Objects

ERIC Educational Resources Information Center

Fragou, ?lga; Kameas, Achilles

2013-01-01

International Standards in High and Open and Distance Education are used for developing Open Educational Resources (OERs). Current issues in e-learning community are the specification of learning chunks and the definition of describing designs for different units of learning (activities, units, courses) in a generic though expandable format.…

Open Learning Environments and the Impact of a Pedagogical Agent

ERIC Educational Resources Information Center

Clarebout, Geraldine; Elen, Jan

2006-01-01

Research reveals that in highly structured learning environments pedagogical agents can act as tools to direct students' learning processes by providing content or problem solving guidance. It has not yet been addressed whether pedagogical agents have a similar impact in more open learning environments that aim at fostering students' acquisition…

Survey of Learning Experiences and Influence of Learning Style Preferences on User Intentions Regarding MOOCs

ERIC Educational Resources Information Center

Chang, Ray I.; Hung, Yu Hsin; Lin, Chun Fu

2015-01-01

With the rapid development of web techniques, information and communication technology is being increasingly used in curricula, and learning portfolios can be automatically retrieved and maintained as learners interact through e-learning platforms. Further, massive open online courses (MOOCs), which apply such technology to provide open access to…

Successful Students in an Open and Distance Learning System

ERIC Educational Resources Information Center

Puspitasari, Kristanti Ambar; Oetoyo, Boedhi

2018-01-01

Learning in a higher education institution that applies an open and distance learning system requires the students to study as independent learners. This research is a survey research with the purpose of exploring the characteristics, habits and learning motivation of high-achiever students or those who obtained a high level of Grade Point Average…

Seamless Support: Technology Enhanced Learning in Open Distance Learning at NWU

ERIC Educational Resources Information Center

Esterhuizen, Hennie

2015-01-01

Frantic attempts of investing in technology to demonstrate willingness to educate for the knowledge society may result in failure to address the real requirements. This paper presents the main features of a framework for integrating Technology Enhanced Learning in Open Distance Learning at North-West University, South Africa. Support towards…

Electroencephalographic neurofeedback: Level of evidence in mental and brain disorders and suggestions for good clinical practice.

PubMed

Micoulaud-Franchi, J-A; McGonigal, A; Lopez, R; Daudet, C; Kotwas, I; Bartolomei, F

2015-12-01

The technique of electroencephalographic neurofeedback (EEG NF) emerged in the 1970s and is a technique that measures a subject's EEG signal, processes it in real time, extracts a parameter of interest and presents this information in visual or auditory form. The goal is to effectuate a behavioural modification by modulating brain activity. The EEG NF opens new therapeutic possibilities in the fields of psychiatry and neurology. However, the development of EEG NF in clinical practice requires (i) a good level of evidence of therapeutic efficacy of this technique, (ii) a good practice guide for this technique. Firstly, this article investigates selected trials with the following criteria: study design with controlled, randomized, and open or blind protocol, primary endpoint related to the mental and brain disorders treated and assessed with standardized measurement tools, identifiable EEG neurophysiological targets, underpinned by pathophysiological relevance. Trials were found for: epilepsies, migraine, stroke, chronic insomnia, attentional-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, major depressive disorder, anxiety disorders, addictive disorders, psychotic disorders. Secondly, this article investigates the principles of neurofeedback therapy in line with learning theory. Different underlying therapeutic models are presented didactically between two continua: a continuum between implicit and explicit learning and a continuum between the biomedical model (centred on "the disease") and integrative biopsychosocial model of health (centred on "the illness"). The main relevant learning model is to link neurofeedback therapy with the field of cognitive remediation techniques. The methodological specificity of neurofeedback is to be guided by biologically relevant neurophysiological parameters. Guidelines for good clinical practice of EEG NF concerning technical issues of electrophysiology and of learning are suggested. These require validation by institutional structures for the clinical practice of EEG NF. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Trends and New Directions in Software Architecture

DTIC Science & Technology

2014-10-10

frameworks  Open source  Cloud strategies  NoSQL  Machine Learning  MDD  Incremental approaches  Dashboards  Distributed development...complexity grows  NoSQL Models are not created equal 2014 Our Current Research  Lightweight Evaluation and Architecture Prototyping for Big Data

Dean's Great Discovery: Multiplication, Division and Fractions

ERIC Educational Resources Information Center

Vale, Colleen; Davies, Anne

2007-01-01

Multiplication, division and fractions are "hotspots" for students in the middle years with many students experiencing difficulty with these concepts. Arrays effectively model multiplication and help children develop multiplicative thinking and learn multiplication facts. In this article the authors show how an open-ended array problem…

Learning by Observing and Pitching In and the Connections to Native and Indigenous Knowledge Systems.

PubMed

Urrieta, Luis

2015-01-01

This chapter opens a broader dialogue of Learning by Observing and Pitching-In (LOPI) with Native and Indigenous Studies, and Native and Indigenous Education, drawing particular attention to how LOPI can provide a model for better understanding Indigenous pedagogy in Indigenous Knowledge Systems (IKS). As Battiste (2002) pointed out, "Indigenous pedagogy values a person's ability to learn independently by observing, listening, participating with a minimum of intervention and instruction." Like LOPI, IKS include ways of knowing and ways of being in the world, with life-long processes and responsibilities that model competent and respectful behavior. The chapter explores similarities and differences between IKS and LOPI by analyzing each perspective's scope, defining features, and foundational origins, as well as what each contributes to our understanding of Native and Indigenous communities, especially in terms of learning and incorporation into adulthood and family and community life. © 2015 Elsevier Inc. All rights reserved.

Open Courses, Informal, Social Learning and Mobile Photography

ERIC Educational Resources Information Center

McGuire, Mark

2016-01-01

This paper provides an overview of MOOCs (Massive Open Online Courses) and contextualizes them within the broader trends of open, informal and mobile learning. It then discuss Phonar Nation, a free, open, non-credit five-week photography course that was offered twice in 2014 using mobile media to reach youth from 12-18 years of age. The author…

Open-Book, Open-Web Online Examinations: Developing Examination Practices to Support University Students' Learning and Self-Efficacy

ERIC Educational Resources Information Center

Myyry, Liisa; Joutsenvirta, Taina

2015-01-01

The aim of this study was to investigate university students' experiences of open-book, open-web online examinations compared to traditional class examinations concerning preparing, responding, and learning. The data (N?=?110) were collected by an online survey from the university students who took an online examination. The students used…

Ten Years of Open Practice: A Reflection on the Impact of OpenLearn

ERIC Educational Resources Information Center

Law, Patrina; Jelfs, Anne

2016-01-01

The Open University (OU) makes a proportion of all its taught modules available to the public via OpenLearn each year. This process involves the modification, of module excerpts, showcasing subject matter and teaching approach. This activity serves both the University's social and business missions through the delivery of free courses to the…

Learning Challenges in Higher Education: An Analysis of Contradictions within Open Educational Practice

ERIC Educational Resources Information Center

Kaatrakoski, Heli; Littlejohn, Allison; Hood, Nina

2017-01-01

Open education, including the use of open educational resources (OER) and the adoption of open education practice, has the potential to challenge educators to change their practice in fundamental ways. This paper forms part of a larger study focusing on higher education educators' learning from and through their engagement with OER. The first part…

Role of Radio and TV Programmes in Distance and Open Learning System: A Case of Bangladesh Open University.

ERIC Educational Resources Information Center

Karim, Salma; Kama, Mustafa Azad; Islam, Md. Mayenul

2001-01-01

Examines the role and effectiveness of radio and television programs in distance and open learning systems based on a survey of students at Bangladesh Open University. Offers recommendations for improvements, including extending the time span, ensuring the quality of presentations, teacher involvement, and audio and video cassette…

Effectiveness of Different Medium of Education to Imparting Knowledge at Bangladesh Open University

ERIC Educational Resources Information Center

Islam, Anwarul; Islam, Nasirul

2008-01-01

Open and distance learning system meanly based on different types of media to impart education to the learners. Bangladesh Open University (BOU) offered education through open and distance learning system. There are two largest programs one is Secondary School Certificate (SSC) and another one is Higher Secondary Certificate (HSC) offered by BOU…

Moodle 2.0: Shifting from a Learning Toolkit to a Open Learning Platform

NASA Astrophysics Data System (ADS)

Alier, Marc; Casañ, María José; Piguillem, Jordi

Learning Management Systems (LMS) have reached a plateau of maturity in features, application to teaching practices and wide adoption by learning institutions. But the Web 2.0 carries new kinds of tools, services and ways of using the web; personally and socially. Some educators and learners have started to advocate for a new approach to frame one's learning sources, from the LMS course space towards Personal Learning Environments (PLE). But PLE's are characterized by its absence of structure, just what is provided by open standards and mashup techniques. Based on 5 years of participative observation research, this article explains the changes in architecture performed on the second version of Moodle, why did these changes happen and what should be the next steps so Moodle can shift from being a learning tool to a true open learning platform.

Open-closed-loop iterative learning control for a class of nonlinear systems with random data dropouts

NASA Astrophysics Data System (ADS)

Cheng, X. Y.; Wang, H. B.; Jia, Y. L.; Dong, YH

2018-05-01

In this paper, an open-closed-loop iterative learning control (ILC) algorithm is constructed for a class of nonlinear systems subjecting to random data dropouts. The ILC algorithm is implemented by a networked control system (NCS), where only the off-line data is transmitted by network while the real-time data is delivered in the point-to-point way. Thus, there are two controllers rather than one in the control system, which makes better use of the saved and current information and thereby improves the performance achieved by open-loop control alone. During the transfer of off-line data between the nonlinear plant and the remote controller data dropout occurs randomly and the data dropout rate is modeled as a binary Bernoulli random variable. Both measurement and control data dropouts are taken into consideration simultaneously. The convergence criterion is derived based on rigorous analysis. Finally, the simulation results verify the effectiveness of the proposed method.

Computer-Based Learning in Open and Distance Learning Institutions in Nigeria: Cautions on Use of Internet for Counseling

ERIC Educational Resources Information Center

Okopi, Fidel Onjefu; Odeyemi, Olajumoke Janet; Adesina, Adewale

2015-01-01

The study has identified the areas of strengths and weaknesses in the current use of Computer Based Learning (CBL) tools in Open and Distance Learning (ODL) institutions in Nigeria. To achieve these objectives, the following research questions were proposed: (i) What are the computer-based learning tools (soft and hard ware) that are actually in…

Costing Distance Education and Open Learning in Sub-Saharan Africa: Working Group on Distance Education and Open Learning-- A Survey of Policy and Practice. Final Report

ERIC Educational Resources Information Center

Commonwealth of Learning, 2004

2004-01-01

Ideological arguments are made for open learning, economic ones for distance education. If it can produce similar results to those of conventional education at a lower cost, then distance education has a powerful appeal. With increasing demand for access to educational opportunities at all levels, and often decreasing budgets in real terms for…

Developing Conceptual Framework for Revising Self-Learning Materials (SLMs) of the Open School (OS) of Bangladesh Open University (BOU) at a Digital Environment

ERIC Educational Resources Information Center

Yeasmin, Sabina; Murthy, C. R. K.

2011-01-01

Bangladesh Open University (BOU) runs school programs as part of its academic activities through open schooling since its inception. As of today, the Open School uses the first generation self-learning materials (SLMs) written, before an era, following an in-house style and template. The concerned faculty member corrects, every year, texts before…

Developing Conceptual Framework for Revising Self-Learning Materials (SLMs) of the Open School (OS) of Bangladesh Open University (BOU) at a Digital Environment

ERIC Educational Resources Information Center

Yeasmin, Sabina; Murthy, C. R. K.

2012-01-01

Bangladesh Open University (BOU) runs school programs as part of its academic activities through open schooling since its inception. As of today, the Open School uses the first generation self-learning materials (SLMs) written, before an era, following an in-house style and template. The concerned faculty member corrects, every year, texts before…

[Reverse learning in WAG/Rij rats with depression-like behavior].

PubMed

Malyshev, A V; Zakharov, A M; Sarkisova, K Iu; Dubynin, V A

2012-01-01

Learning and reverse learning in a complex maze, behavior in the open field test, novelty-suppressed feeding test, and forced swimming test were studies in WAG/Rij and Wistar rats. As compared with Wistar rats, WAG/Rij rats more slowly learned the spatial task, more slowly performed in the learning and reverse learning tasks, and made more errors in the complex maze (18% of WAG/Rij rats didn't reach learning criterion). Moreover, WAG/Rij rats exhibited reduced grooming reactions in the open field test, longer latency of approaching to food in the novel open field, reduced amount of food consumed in the home cage in the novelty-suppressed feeding test, and increased immobility time in the forced swimming test. The results suggest cognitive impaiment in WAG/Rij rats with depression-like behavior.

Differentiating between Distance/Open Education Systems: Parameters for Comparison.

ERIC Educational Resources Information Center

Guri-Rozenblit, Sarah

1993-01-01

Suggests eight parameters as criteria for describing and comparing distance education/open learning institutions: target population, dimensions of openness, organizational structure, design and development of learning materials, use of advanced technology, teaching/tutoring system, student support systems, and interinstitutional collaboration. (35…

Open University Learning Analytics dataset.

PubMed

Kuzilek, Jakub; Hlosta, Martin; Zdrahal, Zdenek

2017-11-28

Learning Analytics focuses on the collection and analysis of learners' data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students' interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license.

Open University Learning Analytics dataset

PubMed Central

Kuzilek, Jakub; Hlosta, Martin; Zdrahal, Zdenek

2017-01-01

Learning Analytics focuses on the collection and analysis of learners’ data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students’ interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license. PMID:29182599

Modeling the History of Astronomy: Ptolemy, Copernicus, and Tycho

NASA Astrophysics Data System (ADS)

Timberlake, Todd K.

This paper describes a series of activities in which students investigate and use the Ptolemaic, Copernican, and Tychonic models of planetary motion. The activities guide students through using open source software to discover important observational facts, learn the necessary vocabulary, understand the fundamental properties of different theoretical models, and relate the theoretical models to observational data. After completing these activities students can make observations of a fictitious solar system and use those observations to construct models for that system.

Learning through ferroelectric domain dynamics in solid-state synapses

DOE Office of Scientific and Technical Information (OSTI.GOV)

Boyn, Soren; Grollier, Julie; Lecerf, Gwendal

In the brain, learning is achieved through the ability of synapses to reconfigure the strength by which they connect neurons (synaptic plasticity). In promising solid-state synapses called memristors, conductance can be finely tuned by voltage pulses and set to evolve according to a biological learning rule called spike-timing-dependent plasticity (STDP). Future neuromorphic architectures will comprise billions of such nanosynapses, which require a clear understanding of the physical mechanisms responsible for plasticity. Here we report on synapses based on ferroelectric tunnel junctions and show that STDP can be harnessed from inhomogeneous polarization switching. Through combined scanning probe imaging, electrical transport andmore » atomic-scale molecular dynamics, we demonstrate that conductance variations can be modelled by the nucleation-dominated reversal of domains. Finally, based on this physical model, our simulations show that arrays of ferroelectric nanosynapses can autonomously learn to recognize patterns in a predictable way, opening the path towards unsupervised learning in spiking neural networks.« less

Learning through ferroelectric domain dynamics in solid-state synapses

DOE PAGES

Boyn, Soren; Grollier, Julie; Lecerf, Gwendal; ...

2017-04-03

In the brain, learning is achieved through the ability of synapses to reconfigure the strength by which they connect neurons (synaptic plasticity). In promising solid-state synapses called memristors, conductance can be finely tuned by voltage pulses and set to evolve according to a biological learning rule called spike-timing-dependent plasticity (STDP). Future neuromorphic architectures will comprise billions of such nanosynapses, which require a clear understanding of the physical mechanisms responsible for plasticity. Here we report on synapses based on ferroelectric tunnel junctions and show that STDP can be harnessed from inhomogeneous polarization switching. Through combined scanning probe imaging, electrical transport andmore » atomic-scale molecular dynamics, we demonstrate that conductance variations can be modelled by the nucleation-dominated reversal of domains. Finally, based on this physical model, our simulations show that arrays of ferroelectric nanosynapses can autonomously learn to recognize patterns in a predictable way, opening the path towards unsupervised learning in spiking neural networks.« less

Machine learning strategies for systems with invariance properties

NASA Astrophysics Data System (ADS)

Ling, Julia; Jones, Reese; Templeton, Jeremy

2016-08-01

In many scientific fields, empirical models are employed to facilitate computational simulations of engineering systems. For example, in fluid mechanics, empirical Reynolds stress closures enable computationally-efficient Reynolds Averaged Navier Stokes simulations. Likewise, in solid mechanics, constitutive relations between the stress and strain in a material are required in deformation analysis. Traditional methods for developing and tuning empirical models usually combine physical intuition with simple regression techniques on limited data sets. The rise of high performance computing has led to a growing availability of high fidelity simulation data. These data open up the possibility of using machine learning algorithms, such as random forests or neural networks, to develop more accurate and general empirical models. A key question when using data-driven algorithms to develop these empirical models is how domain knowledge should be incorporated into the machine learning process. This paper will specifically address physical systems that possess symmetry or invariance properties. Two different methods for teaching a machine learning model an invariance property are compared. In the first method, a basis of invariant inputs is constructed, and the machine learning model is trained upon this basis, thereby embedding the invariance into the model. In the second method, the algorithm is trained on multiple transformations of the raw input data until the model learns invariance to that transformation. Results are discussed for two case studies: one in turbulence modeling and one in crystal elasticity. It is shown that in both cases embedding the invariance property into the input features yields higher performance at significantly reduced computational training costs.

Machine learning strategies for systems with invariance properties

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ling, Julia; Jones, Reese E.; Templeton, Jeremy Alan

Here, in many scientific fields, empirical models are employed to facilitate computational simulations of engineering systems. For example, in fluid mechanics, empirical Reynolds stress closures enable computationally-efficient Reynolds-Averaged Navier-Stokes simulations. Likewise, in solid mechanics, constitutive relations between the stress and strain in a material are required in deformation analysis. Traditional methods for developing and tuning empirical models usually combine physical intuition with simple regression techniques on limited data sets. The rise of high-performance computing has led to a growing availability of high-fidelity simulation data, which open up the possibility of using machine learning algorithms, such as random forests or neuralmore » networks, to develop more accurate and general empirical models. A key question when using data-driven algorithms to develop these models is how domain knowledge should be incorporated into the machine learning process. This paper will specifically address physical systems that possess symmetry or invariance properties. Two different methods for teaching a machine learning model an invariance property are compared. In the first , a basis of invariant inputs is constructed, and the machine learning model is trained upon this basis, thereby embedding the invariance into the model. In the second method, the algorithm is trained on multiple transformations of the raw input data until the model learns invariance to that transformation. Results are discussed for two case studies: one in turbulence modeling and one in crystal elasticity. It is shown that in both cases embedding the invariance property into the input features yields higher performance with significantly reduced computational training costs.« less

Machine learning strategies for systems with invariance properties

DOE PAGES

Ling, Julia; Jones, Reese E.; Templeton, Jeremy Alan

2016-05-06

Here, in many scientific fields, empirical models are employed to facilitate computational simulations of engineering systems. For example, in fluid mechanics, empirical Reynolds stress closures enable computationally-efficient Reynolds-Averaged Navier-Stokes simulations. Likewise, in solid mechanics, constitutive relations between the stress and strain in a material are required in deformation analysis. Traditional methods for developing and tuning empirical models usually combine physical intuition with simple regression techniques on limited data sets. The rise of high-performance computing has led to a growing availability of high-fidelity simulation data, which open up the possibility of using machine learning algorithms, such as random forests or neuralmore » networks, to develop more accurate and general empirical models. A key question when using data-driven algorithms to develop these models is how domain knowledge should be incorporated into the machine learning process. This paper will specifically address physical systems that possess symmetry or invariance properties. Two different methods for teaching a machine learning model an invariance property are compared. In the first , a basis of invariant inputs is constructed, and the machine learning model is trained upon this basis, thereby embedding the invariance into the model. In the second method, the algorithm is trained on multiple transformations of the raw input data until the model learns invariance to that transformation. Results are discussed for two case studies: one in turbulence modeling and one in crystal elasticity. It is shown that in both cases embedding the invariance property into the input features yields higher performance with significantly reduced computational training costs.« less

Developing an Intelligent Diagnosis and Assessment E-Learning Tool for Introductory Programming

ERIC Educational Resources Information Center

Huang, Chenn-Jung; Chen, Chun-Hua; Luo, Yun-Cheng; Chen, Hong-Xin; Chuang, Yi-Ta

2008-01-01

Recently, a lot of open source e-learning platforms have been offered for free in the Internet. We thus incorporate the intelligent diagnosis and assessment tool into an open software e-learning platform developed for programming language courses, wherein the proposed learning diagnosis assessment tools based on text mining and machine learning…

Using Random Parameter Logit in Open and Distance Learning (ODL) Institutions in Malaysia

ERIC Educational Resources Information Center

Chiam, Chooi Chea; Loo, SzeWei

2015-01-01

Attention has been drawn to Open Distance Learning (ODL) as a mode for teaching and learning with the advancement in communication via the Internet. Education today has expanded the role of ICT in learning and knowledge generation, leveraging on Internet technology to transmit education across the country. Due to the advancement of technology and…

Reflections on Assessment in Open Distance Learning (ODL): The Case of the University of South Africa (UNISA)

ERIC Educational Resources Information Center

Letseka, Moeketsi; Pitsoe, Victor

2013-01-01

The article explores the challenges of assessment in open distance learning (ODL). The authors argue that ultimately assessment should be about improving the quality of teaching and effective learning. It should be based on making expectations explicit and public, setting appropriate criteria and high standards for learning quality, systematically…

Personalised Learning in the Open Classroom: The Mutuality of Teacher and Student Agency

ERIC Educational Resources Information Center

Deed, Craig; Cox, Peter; Dorman, Jeffrey; Edwards, Debra; Farrelly, Cathleen; Keeffe, Mary; Lovejoy, Valerie; Mow, Lucy; Sellings, Peter; Prain, Vaughan; Waldrip, Bruce; Yager, Zali

2014-01-01

In this paper we examine how agency is characterised by teachers and students when personalised learning is enacted in the contemporary open classroom. A case study is outlined that identifies teacher reasoning for practice, the use of physical and virtual learning spaces, and student reaction to teacher facilitation of personalised learning.…

Learning topography with Tangible Landscape games

NASA Astrophysics Data System (ADS)

Petrasova, A.; Tabrizian, P.; Harmon, B. A.; Petras, V.; Millar, G.; Mitasova, H.; Meentemeyer, R. K.

2017-12-01

Understanding topography and its representations is crucial for correct interpretation and modeling of surface processes. However, novice earth science and landscape architecture students often find reading topographic maps challenging. As a result, many students struggle to comprehend more complex spatial concepts and processes such as flow accumulation or sediment transport.We developed and tested a new method for teaching hydrology, geomorphology, and grading using Tangible Landscape—a tangible interface for geospatial modeling. Tangible Landscape couples a physical and digital model of a landscape through a real-time cycle of hands-on modeling, 3D scanning, geospatial computation, and projection. With Tangible Landscape students can sculpt a projection-augmented topographic model of a landscape with their hands and use a variety of tangible objects to immediately see how they are changing geospatial analytics such as contours, profiles, water flow, or landform types. By feeling and manipulating the shape of the topography, while seeing projected geospatial analytics, students can intuitively learn about 3D topographic form, its representations, and how topography controls physical processes. Tangible Landscape is powered by GRASS GIS, an open source geospatial platform with extensive libraries for geospatial modeling and analysis. As such, Tangible Landscape can be used to design a wide range of learning experiences across a large number of geoscience disciplines.As part of a graduate level course that teaches grading, 16 students participated in a series of workshops, which were developed as serious games to encourage learning through structured play. These serious games included 1) diverting rain water to a specified location with minimal changes to landscape, 2) building different combinations of landforms, and 3) reconstructing landscapes based on projected contour information with feedback.In this poster, we will introduce Tangible Landscape, and describe the games and their implementation. We will then present preliminary results of a user experience survey we conducted as part of the workshops. All developed materials and software are open source and available online.

Lessons learned in transitioning to an open systems environment

NASA Technical Reports Server (NTRS)

Boland, Dillard E.; Green, David S.; Steger, Warren L.

1994-01-01

Software development organizations, both commercial and governmental, are undergoing rapid change spurred by developments in the computing industry. To stay competitive, these organizations must adopt new technologies, skills, and practices quickly. Yet even for an organization with a well-developed set of software engineering models and processes, transitioning to a new technology can be expensive and risky. Current industry trends are leading away from traditional mainframe environments and toward the workstation-based, open systems world. This paper presents the experiences of software engineers on three recent projects that pioneered open systems development for NASA's Flight Dynamics Division of the Goddard Space Flight Center (GSFC).

Personal Spaces in Public Repositories as a Facilitator for Open Educational Resource Usage

ERIC Educational Resources Information Center

Cohen, Anat; Reisman, Sorel; Sperling, Barbra Bied

2015-01-01

Learning object repositories are a shared, open and public space; however, the possibility and ability of personal expression in an open, global, public space is crucial. The aim of this study is to explore personal spaces in a big learning object repository as a facilitator for adoption of Open Educational Resources (OER) into teaching practices…

Assuring Quality Evaluation Practices in Open and Distance Learning System: The Case of National Open University of Nigeria

ERIC Educational Resources Information Center

Ofoha, D.

2012-01-01

The success of any open and distance learning (ODL) programme depends on how well it is evaluated. In the National Open University of Nigeria (NOUN), students are assessed and evaluated through continuous assessment as well as end of semester examinations. This paper focuses on Tutor Marked Assignment (TMA), which forms part of continuous…

Virtual and physical toys: open-ended features for non-formal learning.

PubMed

Petersson, Eva; Brooks, Anthony

2006-04-01

This paper examines the integrated toy--both physical and virtual--as an essential resource for collaborative learning. This learning incorporates rehabilitation, training, and education. The data derived from two different cases. Pedagogical issues related to non-formal learning and open-ended features of design are discussed. Findings suggest that social, material, and expressive affordances constitute a base for an alterative interface to encourage children's play and learning.

Student Learning about Biomolecular Self-Assembly Using Two Different External Representations

PubMed Central

Höst, Gunnar E.; Larsson, Caroline; Olson, Arthur; Tibell, Lena A. E.

2013-01-01

Self-assembly is the fundamental but counterintuitive principle that explains how ordered biomolecular complexes form spontaneously in the cell. This study investigated the impact of using two external representations of virus self-assembly, an interactive tangible three-dimensional model and a static two-dimensional image, on student learning about the process of self-assembly in a group exercise. A conceptual analysis of self-assembly into a set of facets was performed to support study design and analysis. Written responses were collected in a pretest/posttest experimental design with 32 Swedish university students. A quantitative analysis of close-ended items indicated that the students improved their scores between pretest and posttest, with no significant difference between the conditions (tangible model/image). A qualitative analysis of an open-ended item indicated students were unfamiliar with self-assembly prior to the study. Students in the tangible model condition used the facets of self-assembly in their open-ended posttest responses more frequently than students in the image condition. In particular, it appears that the dynamic properties of the tangible model may support student understanding of self-assembly in terms of the random and reversible nature of molecular interactions. A tentative difference was observed in response complexity, with more multifaceted responses in the tangible model condition. PMID:24006395

Student learning about biomolecular self-assembly using two different external representations.

PubMed

Höst, Gunnar E; Larsson, Caroline; Olson, Arthur; Tibell, Lena A E

2013-01-01

Self-assembly is the fundamental but counterintuitive principle that explains how ordered biomolecular complexes form spontaneously in the cell. This study investigated the impact of using two external representations of virus self-assembly, an interactive tangible three-dimensional model and a static two-dimensional image, on student learning about the process of self-assembly in a group exercise. A conceptual analysis of self-assembly into a set of facets was performed to support study design and analysis. Written responses were collected in a pretest/posttest experimental design with 32 Swedish university students. A quantitative analysis of close-ended items indicated that the students improved their scores between pretest and posttest, with no significant difference between the conditions (tangible model/image). A qualitative analysis of an open-ended item indicated students were unfamiliar with self-assembly prior to the study. Students in the tangible model condition used the facets of self-assembly in their open-ended posttest responses more frequently than students in the image condition. In particular, it appears that the dynamic properties of the tangible model may support student understanding of self-assembly in terms of the random and reversible nature of molecular interactions. A tentative difference was observed in response complexity, with more multifaceted responses in the tangible model condition.

Analysis of creative mathematical thinking ability by using model eliciting activities (MEAs)

NASA Astrophysics Data System (ADS)

Winda, A.; Sufyani, P.; Elah, N.

2018-05-01

Lack of creative mathematical thinking ability can lead to not accustomed with open ended problem. Students’ creative mathematical thinking ability in the first grade at one of junior high school in Tangerang City is not fully developed. The reason of students’ creative mathematical thinking ability is not optimally developed is so related with learning process which has done by the mathematics teacher, maybe the learning design that teacher use is unsuitable for increasing students’ activity in the learning process. This research objective is to see the differences in students’ ways of answering the problems in terms of students’ creative mathematical thinking ability during the implementation of Model Eliciting Activities (MEAs). This research use post-test experimental class design. The indicators for creative mathematical thinking ability in this research arranged in three parts, as follow: (1) Fluency to answer the problems; (2) Flexibility to solve the problems; (3) Originality of answers. The result of this research found that by using the same learning model and same instrument from Model Eliciting Activities (MEAs) there are some differences in the way students answer the problems and Model Eliciting Activities (MEAs) can be one of approach used to increase students’ creative mathematical thinking ability.

Globalisation, Consumption and the Learning Business.

ERIC Educational Resources Information Center

Field, John

1995-01-01

Distance open learning represents both an outcome of and a primary factor in globalization. Despite investment in infrastructure, software, and human resources, demand for distance open learning in the European market remains constrained. The European Union's policies conceptualize a "European economic space" that ignores the real…

Cognitive aspects of congenital learned helplessness and its reversal by the monoamine oxidase (MAO)-B inhibitor deprenyl

DOE Office of Scientific and Technical Information (OSTI.GOV)

Schulz, D.; Schulz, D.; Mirrione, M.

2009-11-29

Cognitive processes are assumed to change with learned helplessness, an animal model of depression, but little is known about such deficits. Here we investigated the role of cognitive and related functions in selectively bred helpless (cLH, n = 10), non-helpless (cNLH, n = 12) and wild type (WT, n = 8) Sprague Dawley rats. The animals were exposed to an open field for 10 min on each of two test days. On the third day, an object exploration paradigm was carried out. The animals were later tested for helplessness. Both cLH and cNLH rats were more active than WTs onmore » the first day in the open field. Over trials, cNLH and WT rats lowered their activity less than cLH rats. This resistance-to-habituation co-varied with a resistance to develop helplessness. In cLH rats, higher 'anxiety' or less time spent in the center of the open field co-varied with severe helplessness. In WTs, a greater reactivity to novel objects and to a spatially relocated object predicted lower levels of helplessness. In cLH rats (n = 4-5 per group), chronic treatment with a high dose of the monoamineoxidase (MAO)-Binhibitordeprenyl (10 mg/kg; i.p.), an anti-Parkinson, nootropic and antidepressant drug, attenuated helplessness. Remarkably, helplessness reversal required the experience of repeated test trials, reminiscent of a learning process. Chronic deprenyl (10 mg/kg; i.p.) did not alter locomotion/exploration or 'anxiety' in the open field. In conclusion, helplessness may be related to altered mechanisms of reinforcement learning and working memory, and to abnormalities in MAO-A and/or MAO-B functioning.« less

Cognitive aspects of congenital learned helplessness and its reversal by the monoamine oxidase (MAO)-B inhibitor deprenyl.

PubMed

Schulz, Daniela; Mirrione, Martine M; Henn, Fritz A

2010-02-01

Cognitive processes are assumed to change with learned helplessness, an animal model of depression, but little is known about such deficits. Here we investigated the role of cognitive and related functions in selectively bred helpless (cLH, n=10), non-helpless (cNLH, n=12) and wild type (WT, n=8) Sprague Dawley rats. The animals were exposed to an open field for 10min on each of two test days. On the third day, an object exploration paradigm was carried out. The animals were later tested for helplessness. Both cLH and cNLH rats were more active than WTs on the first day in the open field. Over trials, cNLH and WT rats lowered their activity less than cLH rats. This resistance-to-habituation co-varied with a resistance to develop helplessness. In cLH rats, higher 'anxiety' or less time spent in the center of the open field co-varied with severe helplessness. In WTs, a greater reactivity to novel objects and to a spatially relocated object predicted lower levels of helplessness. In cLH rats (n=4-5 per group), chronic treatment with a high dose of the monoamine oxidase (MAO)-B inhibitor deprenyl (10mg/kg; i.p.), an anti-Parkinson, nootropic and antidepressant drug, attenuated helplessness. Remarkably, helplessness reversal required the experience of repeated test trials, reminiscent of a learning process. Chronic deprenyl (10mg/kg; i.p.) did not alter locomotion/exploration or 'anxiety' in the open field. In conclusion, helplessness may be related to altered mechanisms of reinforcement learning and working memory, and to abnormalities in MAO-A and/or MAO-B functioning. Copyright 2009 Elsevier Inc. All rights reserved.

PredicT-ML: a tool for automating machine learning model building with big clinical data.

PubMed

Luo, Gang

2016-01-01

Predictive modeling is fundamental to transforming large clinical data sets, or "big clinical data," into actionable knowledge for various healthcare applications. Machine learning is a major predictive modeling approach, but two barriers make its use in healthcare challenging. First, a machine learning tool user must choose an algorithm and assign one or more model parameters called hyper-parameters before model training. The algorithm and hyper-parameter values used typically impact model accuracy by over 40 %, but their selection requires many labor-intensive manual iterations that can be difficult even for computer scientists. Second, many clinical attributes are repeatedly recorded over time, requiring temporal aggregation before predictive modeling can be performed. Many labor-intensive manual iterations are required to identify a good pair of aggregation period and operator for each clinical attribute. Both barriers result in time and human resource bottlenecks, and preclude healthcare administrators and researchers from asking a series of what-if questions when probing opportunities to use predictive models to improve outcomes and reduce costs. This paper describes our design of and vision for PredicT-ML (prediction tool using machine learning), a software system that aims to overcome these barriers and automate machine learning model building with big clinical data. The paper presents the detailed design of PredicT-ML. PredicT-ML will open the use of big clinical data to thousands of healthcare administrators and researchers and increase the ability to advance clinical research and improve healthcare.

Learning through vulnerability: a mentor-mentee experience.

PubMed

Jones, Kohar; Reis, Shmuel

2010-01-01

The following essay, drawn from the journals and work notebook of a family medicine resident and a visiting clinical mentor, chronicles their work together in an Advanced Clinical Mentoring program. This program included afternoons of direct clinical observation immediately followed by feedback sessions. In addition to addressing specific professional issues, such as time management, limiting patient encounters, agenda matching, and the One-Minute Preceptor model, the authors developed personally as they opened themselves to learning and growing as a clinician and a teacher.

The Development of Open University New Generation Learning Model Using Research and Development for Atomic Physics Course PEFI4421

ERIC Educational Resources Information Center

Prayekti

2017-01-01

This research was aimed at developing printed teaching materials of Atomic Physics PEFI4421 Course using Research and Development (R & D) model; which consisted of three major set of activities. The first set consisted of seven stages, the second set consisted of one stage, and the third set consisted of seven stages. This research study was…

Modeling the Water Balloon Slingshot

NASA Astrophysics Data System (ADS)

Bousquet, Benjamin D.; Figura, Charles C.

2013-01-01

In the introductory physics courses at Wartburg College, we have been working to create a lab experience focused on the scientific process itself rather than verification of physical laws presented in the classroom or textbook. To this end, we have developed a number of open-ended modeling exercises suitable for a variety of learning environments, from non-science major classes to algebra-based and calculus-based introductory physics classes.

Eco-Dialogical Learning and Translanguaging in Open-Ended 3D Virtual Learning Environments: Where Place, Time, and Objects Matter

ERIC Educational Resources Information Center

Zheng, Dongping; Schmidt, Matthew; Hu, Ying; Liu, Min; Hsu, Jesse

2017-01-01

The purpose of this research was to explore the relationships between design, learning, and translanguaging in a 3D collaborative virtual learning environment for adolescent learners of Chinese and English. We designed an open-ended space congruent with ecological and dialogical perspectives on second language acquisition. In such a space,…

The importance of using open source technologies and common standards for interoperability within eHealth: Perspectives from the Millennium Villages Project

PubMed Central

Borland, Rob; Barasa, Mourice; Iiams-Hauser, Casey; Velez, Olivia; Kaonga, Nadi Nina; Berg, Matt

2013-01-01

The purpose of this paper is to illustrate the importance of using open source technologies and common standards for interoperability when implementing eHealth systems and illustrate this through case studies, where possible. The sources used to inform this paper draw from the implementation and evaluation of the eHealth Program in the context of the Millennium Villages Project (MVP). As the eHealth Team was tasked to deploy an eHealth architecture, the Millennium Villages Global-Network (MVG-Net), across all fourteen of the MVP sites in Sub-Saharan Africa, the team recognized the need for standards and uniformity but also realized that context would be an important factor. Therefore, the team decided to utilize open source solutions. The MVP implementation of MVG-Net provides a model for those looking to implement informatics solutions across disciplines and countries. Furthermore, there are valuable lessons learned that the eHealth community can benefit from. By sharing lessons learned and developing an accessible, open-source eHealth platform, we believe that we can more efficiently and rapidly achieve the health-related and collaborative Millennium Development Goals (MDGs). PMID:22894051

Strain, Sex, and Open-Field Behavior: Factors Underlying the Genetic Susceptibility to Helplessness

PubMed Central

Padilla, Eimeira; Barrett, Douglas W.; Shumake, Jason D.; Gonzalez-Lima, F.

2009-01-01

Learned helplessness represents a failure to escape after exposure to inescapable stress and may model human psychiatric disorders related to stress. Previous work has demonstrated individual differences in susceptibility to learned helplessness. In this study, we assessed different factors associated with this susceptibility, including strain, sex, and open-field behavior. Testing of three rat strains (Holtzman, Long-Evans, and Sprague-Dawley) revealed that Holtzman rats were the most susceptible to helplessness. Holtzman rats not only had the longest escape latencies following inescapable shock, but also showed spontaneous escape deficits in the absence of prior shock when tested with a fixed-ratio 2 (FR2) running response. Moreover, when tested with fixed-ratio 1 (FR1) running—an easy response normally unaffected by helplessness training in rats—inescapable shock significantly increased the escape latencies of Holtzman rats. Within the Holtzman strain, we confirmed recent findings that females showed superior escape performance and therefore appeared more resistant to helplessness than males. However, regression and covariance analyses suggest that this sex difference may be explained by more baseline ambulatory activity among females. In addition, some indices of novelty reactivity (greater exploration of novel vs. familiar open-field) predicted subsequent helpless behavior. In conclusion, Holtzman rats, and especially male Holtzman rats, have a strong predisposition to become immobile when stressed which interferes with their ability to learn active escape responses. The Holtzman strain therefore appears to be a commercially available model for studying susceptibility to helplessness in males, and novelty-seeking may be a marker of this susceptibility. PMID:19428642

Empowering Learners with Mobile Open-Access Learning Initiatives

ERIC Educational Resources Information Center

Mills, Michael, Ed.; Wake, Donna, Ed.

2017-01-01

Education has been progressing at a rapid pace ever since educators have been able to harness the power of mobile technology. Open-access learning techniques provide more students with the opportunity to engage in educational opportunities that may have been previously restricted. "Empowering Learners with Mobile Open-Access Learning…

The Role of the Australian Open Learning Information Network.

ERIC Educational Resources Information Center

Bishop, Robin; And Others

Three documents are presented which describe the Australian Open Learning Information Network (AOLIN)--a national, independent, and self-supporting network of educational researchers with a common interest in the use of information technology for open and distance education--and discuss two evaluative studies undertaken by the organization. The…

Distance Education and Open Learning in Sub-Saharan Africa: Criteria and Conditions for Quality and Critical Success Factor-- Working Group on Distance Education and Open Learning. A Survey of Policy and Practice. Final Report

ERIC Educational Resources Information Center

Commonwealth of Learning, 2004

2004-01-01

Both of these "Surveys of policy and practice" were conducted on behalf of COL by the South African Institute for Distance Education (SAIDE) as part of COL's partnership agreement with the Association for the Development of Education in Africa (ADEA) Working Group on Distance Education and Open Learning. The first report identifies…

Chronic postnatal ornithine administration to rats provokes learning deficit in the open field task.

PubMed

Viegas, Carolina Maso; Busanello, Estela Natacha Brandt; Tonin, Anelise Miotti; Grings, Mateus; Moura, Alana Pimentel; Ritter, Luciana; Zanatta, Angela; Knebel, Lisiane Aurélio; Lobato, Vannessa Araujo; Pettenuzzo, Letícia Ferreira; Vargas, Carmen Regla; Leipnitz, Guilhian; Wajner, Moacir

2012-12-01

Hyperornithinemia is the biochemical hallmark of hyperornithinemia-hyperammonemia-homocitrullinuria (HHH) syndrome, an inherited metabolic disease clinically characterized by mental retardation whose pathogenesis is still poorly known. In the present work, we produced a chemical animal model of hyperornithinemia induced by a subcutaneous injection of saline-buffered Orn (2-5 μmol/g body weight) to rats. High brain Orn concentrations were achieved, indicating that Orn is permeable to the blood brain barrier. We then investigated the effect of early chronic postnatal administration of Orn on physical development and on the performance of adult rats in the open field, the Morris water maze and in the step down inhibitory avoidance tasks. Chronic Orn treatment had no effect on the appearance of coat, eye opening or upper incisor eruption, nor on the free-fall righting reflex and on the adult rat performance in the Morris water maze and in the inhibitory avoidance tasks, suggesting that physical development, aversive and spatial localization were not changed by Orn. However, Orn-treated rats did not habituate to the open field apparatus, implying a deficit of learning/memory. Motor activity was the same for Orn- and saline- injected animals. We also verified that Orn subcutaneous injections provoked lipid peroxidation in the brain, as determined by a significant increase of thiobarbituric acid-reactive substances levels. Our results indicate that chronic early postnatal hyperornithinemia may impair the central nervous system, causing minor disabilities which result in specific learning deficiencies.

Part-Time Learners in Open and Distance Learning: Revisiting the Critical Importance of Choice, Flexibility and Employability

ERIC Educational Resources Information Center

Butcher, John; Rose-Adams, John

2015-01-01

In this article, we argue that, if open learning seeks to (re)assert a social justice mission, issues of openness and flexibility are more critical than ever. Drawing on qualitative data from a National Union of Students Wales/Open University study, which explored, in the voices of Welsh students, the identity, motivation and barriers faced by…

Quality Practices: An Open Distance Learning Perspective

ERIC Educational Resources Information Center

Ramdass, Kemlall; Nemavhola, Fulufhelo

2018-01-01

Global transformation in higher education over the past two decades has led to the implementation of national policies in order to measure the performance of institutions in South Africa. The Higher Education Quality Council (HEQC) adopted the quality assurance (QA) model for the purposes of accountability and governance in South African Higher…

Montessori for All: Magnolia Montessori

ERIC Educational Resources Information Center

EDUCAUSE, 2015

2015-01-01

The founders of Montessori For All, which opened Magnolia Montessori--a PK-8 public charter school in Austin, Texas--created a new school model that blends the best of authentic Montessori schooling (hands-on and self-directed learning) with best practices from high-performing charter schools (basic skills mastery to excel on standardized tests…

Information and Communication Technology in the Israeli Educational System: Past, Present and Future.

ERIC Educational Resources Information Center

Katz, Yaacov J.

2002-01-01

Describes the development of the use of information and communication technology (ICT) in the Israeli educational system. Discusses a behaviorist approach to computer assisted instruction; open-ended courseware; constructivist approaches to multimedia, including simulations, modeling, and virtual reality; technology-based distance learning; and…

Issues in Work-Related Education. EAE605 Human Resource Development.

ERIC Educational Resources Information Center

Deakin Univ., Victoria (Australia).

This publication is part of the study materials for the one-semester distance education unit, Human Resource Development, in the Open Campus Program at Deakin University (Australia). It contains three essays that explore the approaches to learning currently modeled within industry. "Training for Women" (Kathy MacDermott) presents the…

Vulnerability Assessment of Open Source Wireshark and Chrome Browser

DTIC Science & Technology

2013-08-01

UNLIMITED 5 We spent much of the initial time learning about the logical model that modern HTML5 web browsers support, including how users interact with...are supposed to protect users of that site against cross-site scripting) and the new powerful an all-encompassing HTML5 standard. This vulnerability

Collaborative Language Learning in Co-Constructed Participatory Culture

ERIC Educational Resources Information Center

Kessler, Greg

2013-01-01

This article expands upon themes addressed in the 2012 CALICO opening plenary that I delivered at the University of Notre Dame. This extended interpretation allows me the opportunity to further explore the nature of participatory human communication and collaboration and offer some clarification of the proposed instructional model for promoting…

Course Development: Industrial or Social Process.

ERIC Educational Resources Information Center

Kaufman, David

The development of course materials at the Open Learning Institute, British Columbia, Canada, is examined from two perspectives: as an industrial process and as a social process. The public institute provides distance education through paced home-study courses. The course team model used at the Institute is a system approach. Course development…

Online Learning 2.0: Strategies for a Mature Market

ERIC Educational Resources Information Center

Gallagher, Sean; LaBrie, John

2012-01-01

It is an exciting time for online education. Lately, there has been breathless talk of a "revolution" and massive "disruption," largely based on Massively Open Online Course (MOOC) models pioneered by universities such as MIT and Stanford, and headline-grabbing start-up companies such as Udacity and Coursera. Meanwhile,…

Flexible model of work-based learning boosts development.

PubMed

Clark, Elisabeth

2011-01-19

I was interested to read your news story, 'Nurses miss out on essential training due to staff shortages' (January 5). As director of the Open University-RCN strategic alliance I would emphasise the importance of investing in continuing professional development (CPD), particularly in times of change and service redesign.

Learning from Each Other

ERIC Educational Resources Information Center

Phillips, Vicki L.

2011-01-01

The idea behind public charter schools was to develop flexible models of public schools and to incubate innovative ideas that then could be shared with the district's public schools. Today, almost 20 years since the first public charter school opened its doors in Minnesota, one still does not see consistent, productive collaboration and shared…

A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods.

PubMed

Moore, Jason H; Shestov, Maksim; Schmitt, Peter; Olson, Randal S

2018-01-01

A central challenge of developing and evaluating artificial intelligence and machine learning methods for regression and classification is access to data that illuminates the strengths and weaknesses of different methods. Open data plays an important role in this process by making it easy for computational researchers to easily access real data for this purpose. Genomics has in some examples taken a leading role in the open data effort starting with DNA microarrays. While real data from experimental and observational studies is necessary for developing computational methods it is not sufficient. This is because it is not possible to know what the ground truth is in real data. This must be accompanied by simulated data where that balance between signal and noise is known and can be directly evaluated. Unfortunately, there is a lack of methods and software for simulating data with the kind of complexity found in real biological and biomedical systems. We present here the Heuristic Identification of Biological Architectures for simulating Complex Hierarchical Interactions (HIBACHI) method and prototype software for simulating complex biological and biomedical data. Further, we introduce new methods for developing simulation models that generate data that specifically allows discrimination between different machine learning methods.

Observational learning from tool using models by human-reared and mother-reared capuchin monkeys (Cebus apella).

PubMed

Fredman, Tamar; Whiten, Andrew

2008-04-01

Studies of wild capuchins suggest an important role for social learning, but experiments with captive subjects have generally not supported this. Here we report social learning in two quite different populations of capuchin monkeys (Cebus apella). In experiment 1, human-raised monkeys observed a familiar human model open a foraging box using a tool in one of two alternative ways: levering versus poking. In experiment 2, mother-raised monkeys viewed similar techniques demonstrated by monkey models. A control group in each population saw no model. In both experiments, independent coders detected which technique experimental subjects had seen, thus confirming social learning. Further analyses examined fidelity of copying at three levels of resolution. The human-raised monkeys exhibited fidelity at the highest level, the specific tool use technique witnessed. The lever technique was seen only in monkeys exposed to a levering model, by contrast with controls and those witnessing poke. Mother-reared monkeys instead typically ignored the tool and exhibited fidelity at a lower level, tending only to re-create whichever result the model had achieved by either levering or poking. Nevertheless this level of social learning was associated with significantly greater levels of success in monkeys witnessing a model than in controls, an effect absent in the human-reared population. Results in both populations are consistent with a process of canalization of the repertoire in the direction of the approach witnessed, producing a narrower, socially shaped behavioural profile than among controls who saw no model.

The Impact of High School Science Teachers' Beliefs, Curricular Enactments and Experience on Student Learning During an Inquiry-based Urban Ecology Curriculum

NASA Astrophysics Data System (ADS)

McNeill, Katherine L.; Silva Pimentel, Diane; Strauss, Eric G.

2013-10-01

Inquiry-based curricula are an essential tool for reforming science education yet the role of the teacher is often overlooked in terms of the impact of the curriculum on student achievement. Our research focuses on 22 teachers' use of a year-long high school urban ecology curriculum and how teachers' self-efficacy, instructional practices, curricular enactments and previous experience impacted student learning. Data sources included teacher belief surveys, teacher enactment surveys, a student multiple-choice assessment focused on defining and identifying science concepts and a student open-ended assessment focused on scientific inquiry. Results from the two hierarchical linear models indicate that there was significant variation between teachers in terms of student achievement. For the multiple-choice assessment, teachers who spent a larger percentage of time on group work and a smaller percentage of time lecturing had greater student learning. For the open-ended assessment, teachers who reported a higher frequency of students engaging in argument and sharing ideas had greater student learning while teachers who adapted the curriculum more had lower student learning. These results suggest the importance of supporting the active role of students in instruction, emphasising argumentation, and considering the types of adaptations teachers make to curriculum.

Informal Learning and Non-Formal Education for Development

ERIC Educational Resources Information Center

Latchem, Colin

2014-01-01

The following article examines the issues of open, distance and technology-based informal learning and non-formal education for individual and community development. It argues that these two modes of education, which are estimated to constitute 70-90% of lifelong learning, are insufficiently represented in the literature of open and distance…

Designing a Virtual-Reality-Based, Gamelike Math Learning Environment

ERIC Educational Resources Information Center

Xu, Xinhao; Ke, Fengfeng

2016-01-01

This exploratory study examined the design issues related to a virtual-reality-based, gamelike learning environment (VRGLE) developed via OpenSimulator, an open-source virtual reality server. The researchers collected qualitative data to examine the VRGLE's usability, playability, and content integration for math learning. They found it important…

An Investigation of an Open-Source Software Development Environment in a Software Engineering Graduate Course

ERIC Educational Resources Information Center

Ge, Xun; Huang, Kun; Dong, Yifei

2010-01-01

A semester-long ethnography study was carried out to investigate project-based learning in a graduate software engineering course through the implementation of an Open-Source Software Development (OSSD) learning environment, which featured authentic projects, learning community, cognitive apprenticeship, and technology affordances. The study…

Sustainable Assessment and Evaluation Strategies for Open and Distance Learning

ERIC Educational Resources Information Center

Okonkwo, Charity Akuadi

2010-01-01

This paper first presents an overview of the concepts of assessment and evaluation in Open and Distance Learning (ODL) environment. The large numbers of students and numerous courses make assessment and evaluation very difficult and administrative nightmare at Distance Learning (DL) institutions. These challenges informed exploring issues relating…

Accelerating k-NN Algorithm with Hybrid MPI and OpenSHMEM

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lin, Jian; Hamidouche, Khaled; Zheng, Jie

2015-08-05

Machine Learning algorithms are benefiting from the continuous improvement of programming models, including MPI, MapReduce and PGAS. k-Nearest Neighbors (k-NN) algorithm is a widely used machine learning algorithm, applied to supervised learning tasks such as classification. Several parallel implementations of k-NN have been proposed in the literature and practice. However, on high-performance computing systems with high-speed interconnects, it is important to further accelerate existing designs of the k-NN algorithm through taking advantage of scalable programming models. To improve the performance of k-NN on large-scale environment with InfiniBand network, this paper proposes several alternative hybrid MPI+OpenSHMEM designs and performs a systemicmore » evaluation and analysis on typical workloads. The hybrid designs leverage the one-sided memory access to better overlap communication with computation than the existing pure MPI design, and propose better schemes for efficient buffer management. The implementation based on k-NN program from MaTEx with MVAPICH2-X (Unified MPI+PGAS Communication Runtime over InfiniBand) shows up to 9.0% time reduction for training KDD Cup 2010 workload over 512 cores, and 27.6% time reduction for small workload with balanced communication and computation. Experiments of running with varied number of cores show that our design can maintain good scalability.« less

Strategy for a Sustained Quality Delivery Mode of ODL Programmes for Massive Enrollments and E-Learning: The Case for Zimbabwe Open University

ERIC Educational Resources Information Center

Kabanda, Gabriel

2014-01-01

The market dynamics in distance education has precipitated phenomenal growth opportunities in enrollments and e-learning. The purpose of the paper was to develop a strategy for sustained quality delivery mode of distance education progammes that precipitate massive enrollments and e-learning in an open and distance learning (ODL) institution using…

Success Profiling: A Methodological Perspective on the Interactive Nature of Success Predictors on Student Performance at an Open and Distance Learning Institution

ERIC Educational Resources Information Center

Muller, Helene; Swanepoel, Elana; De Beer, Andreas

2010-01-01

The drive to improve the academic performance of students at an open and distance learning (ODL) institution has resulted in the incorporation of a blended learning component, namely satellite classes, in the learning strategy to enhance the academic performance of first year diploma students in Business Management and Management. Monitoring this…

Training Language Teachers to Sustain Self-Directed Language Learning: An Exploration of Advisers' Experiences on a Web-Based Open Virtual Learning Environment

ERIC Educational Resources Information Center

Bailly, Sophie; Ciekanski, Maud; Guély-Costa, Eglantine

2013-01-01

This article describes the rationale for pedagogical, technological and organizational choices in the design of a web-based and open virtual learning environment (VLE) promoting and sustaining self-directed language learning. Based on the last forty years of research on learner autonomy at the CRAPEL according to Holec's definition (1988), we…

Making Sense of Learner and Learning Big Data: Reviewing Five Years of Data Wrangling at the Open University UK

ERIC Educational Resources Information Center

Rienties, Bart; Cross, Simon; Marsh, Vicky; Ullmann, Thomas

2017-01-01

Most distance learning institutions collect vast amounts of learning data. Making sense of this 'Big Data' can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated…

Conformity does not perpetuate suboptimal traditions in a wild population of songbirds

PubMed Central

Aplin, Lucy M.; Sheldon, Ben C.; McElreath, Richard

2017-01-01

Social learning is important to the life history of many animals, helping individuals to acquire new adaptive behavior. However despite long-running debate, it remains an open question whether a reliance on social learning can also lead to mismatched or maladaptive behavior. In a previous study, we experimentally induced traditions for opening a bidirectional door puzzle box in replicate subpopulations of the great tit Parus major. Individuals were conformist social learners, resulting in stable cultural behaviors. Here, we vary the rewards gained by these techniques to ask to what extent established behaviors are flexible to changing conditions. When subpopulations with established foraging traditions for one technique were subjected to a reduced foraging payoff, 49% of birds switched their behavior to a higher-payoff foraging technique after only 14 days, with younger individuals showing a faster rate of change. We elucidated the decision-making process for each individual, using a mechanistic learning model to demonstrate that, perhaps surprisingly, this population-level change was achieved without significant asocial exploration and without any evidence for payoff-biased copying. Rather, by combining conformist social learning with payoff-sensitive individual reinforcement (updating of experience), individuals and populations could both acquire adaptive behavior and track environmental change. PMID:28739943

Design Support System for Open Distance Learning Student Teamwork

NASA Astrophysics Data System (ADS)

Putranto, A.; Pradipto, Y. D.

2017-01-01

Open distance learning students in doing team assignment, they seldom face to some problems such as student fell unfair in numbers of workload contribution, instructors also do not know which students do more work than others. So there are some questions ie: how to connect between instructor, team members, and working documents. Methods will be used are first, analyzing current condition and last by designing systems to connect between instructor, team members, and document. The expected result is support systems for open distance learning student teamwork.

Using a critical reflection process to create an effective learning community in the workplace.

PubMed

Walker, Rachel; Cooke, Marie; Henderson, Amanda; Creedy, Debra K

2013-05-01

Learning circles are an enabling process to critically examine and reflect on practices with the purpose of promoting individual and organizational growth and change. The authors adapted and developed a learning circle strategy to facilitate open discourse between registered nurses, clinical leaders, clinical facilitators and students, to critically reflect on practice experiences to promote a positive learning environment. This paper reports on an analysis of field notes taken during a critical reflection process used to create an effective learning community in the workplace. A total of 19 learning circles were conducted during in-service periods (that is, the time allocated for professional education between morning and afternoon shifts) over a 3 month period with 56 nurses, 33 students and 1 university-employed clinical supervisor. Participation rates ranged from 3 to 12 individuals per discussion. Ten themes emerged from content analysis of the clinical learning issues identified through the four-step model of critical reflection used in learning circle discussions. The four-step model of critical reflection allowed participants to reflect on clinical learning issues, and raise them in a safe environment that enabled topics to be challenged and explored in a shared and cooperative manner. Copyright © 2012 Elsevier Ltd. All rights reserved.

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.

PubMed

Taherkhani, Aboozar; Belatreche, Ammar; Li, Yuhua; Maguire, Liam P

2015-12-01

Recent research has shown the potential capability of spiking neural networks (SNNs) to model complex information processing in the brain. There is biological evidence to prove the use of the precise timing of spikes for information coding. However, the exact learning mechanism in which the neuron is trained to fire at precise times remains an open problem. The majority of the existing learning methods for SNNs are based on weight adjustment. However, there is also biological evidence that the synaptic delay is not constant. In this paper, a learning method for spiking neurons, called delay learning remote supervised method (DL-ReSuMe), is proposed to merge the delay shift approach and ReSuMe-based weight adjustment to enhance the learning performance. DL-ReSuMe uses more biologically plausible properties, such as delay learning, and needs less weight adjustment than ReSuMe. Simulation results have shown that the proposed DL-ReSuMe approach achieves learning accuracy and learning speed improvements compared with ReSuMe.

LAMMPS Project Report for the Trinity KNL Open Science Period.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Moore, Stan Gerald; Thompson, Aidan P.; Wood, Mitchell

LAMMPS is a classical molecular dynamics code (lammps.sandia.gov) used to model materials science problems at Sandia National Laboratories and around the world. LAMMPS was one of three Sandia codes selected to participate in the Trinity KNL (TR2) Open Science period. During this period, three different problems of interest were investigated using LAMMPS. The first was benchmarking KNL performance using different force field models. The second was simulating void collapse in shocked HNS energetic material using an all-atom model. The third was simulating shock propagation through poly-crystalline RDX energetic material using a coarse-grain model, the results of which were used inmore » an ACM Gordon Bell Prize submission. This report describes the results of these simulations, lessons learned, and some hardware issues found on Trinity KNL as part of this work.« less

A Learned Society's Perspective on Publishing.

PubMed

Suzuki, Kunihiko; Edelson, Alan; Iversen, Leslie L; Hausmann, Laura; Schulz, Jörg B; Turner, Anthony J

2016-10-01

Scientific journals that are owned by a learned society, like the Journal of Neurochemistry (JNC), which is owned by the International Society for Neurochemistry (ISN), benefit the scientific community in that a large proportion of the income is returned to support the scientific mission of the Society. The income generated by the JNC enables the ISN to organize conferences as a platform for members and non-members alike to share their research, supporting researchers particularly in developing countries by travel grants and other funds, and promoting education in student schools. These direct benefits and initiatives for ISN members and non-members distinguish a society journal from pure commerce. However, the world of scholarly publishing is changing rapidly. Open access models have challenged the business model of traditional journal subscription and hence provided free access to publicly funded scientific research. In these models, the manuscript authors pay a publication cost after peer review and acceptance of the manuscript. Over the last decade, numerous new open access journals have been launched and traditional subscription journals have started to offer open access (hybrid journals). However, open access journals follow the general scheme that, of all participating parties, the publisher receives the highest financial benefit. The income is generated by researchers whose positions and research are mostly financed by taxpayers' or funders' money, and by reviewers and editors, who frequently are not reimbursed. Last but not least, the authors pay for the publication of their work after a rigorous and sometimes painful review process. JNC itself has an open access option, at a significantly reduced cost for Society members as an additional benefit. This article provides first-hand insights from two former Editors-in-Chief, Kunihiko Suzuki and Leslie Iversen, about the history of JNC's ownership and about the difficulties and battles fought along the way to its current success and reputation. Scientific journals that are owned by a learned society, like the Journal of Neurochemistry (JNC) which is owned by the International Society for Neurochemistry (ISN), benefit the scientific community in that a large proportion of the income is returned to support the scientific mission of the Society. The income generated by the JNC enables the ISN to organize conferences as a platform for members and non-members alike to share their research, supporting researchers particularly in developing countries by travel grants and other funds, and to promote education in student schools. These direct benefits and initiatives for ISN members and non-members distinguish a society journal from pure commerce. However, the world of scholarly publishing is changing rapidly. Open access models have challenged the business model of traditional journal subscription and hence provide free access to publicly funded scientific research. In these models, the manuscript authors pay a publication cost after peer review and acceptance of the manuscript. Over the last decade, numerous new open access journals have been launched and traditional subscription journals have started to offer open access (hybrid journals). However, open access journals pertain to the general scheme that, of all participating parties, the publisher receives the highest financial benefit. The income is generated by researchers whose positions and research are mostly financed by tax payers' or funders' money, reviewers and editors, who frequently are not reimbursed. Last but not least, the authors pay for the publication of their work after a rigorous and sometimes painful review process. JNC itself has an open access option, at a significantly reduced cost for Society members as an additional benefit. This article provides first-hand insights from a long-standing Editor-in-Chief, Kunihiko Suzuki, about the history of JNC's ownership and about difficulties and battles fought on the way to its current success and reputation today. This article is part of the 60th Anniversary special issue. © 2016 International Society for Neurochemistry.

Reversal learning and resurgence of operant behavior in zebrafish (Danio rerio).

PubMed

Kuroda, Toshikazu; Mizutani, Yuto; Cançado, Carlos R X; Podlesnik, Christopher A

2017-09-01

Zebrafish are used extensively as vertebrate animal models in biomedical research for having such features as a fully sequenced genome and transparent embryo. Yet, operant-conditioning studies with this species are scarce. The present study investigated reversal learning and resurgence of operant behavior in zebrafish. A target response (approaching a sensor) was reinforced in Phase 1. In Phase 2, the target response was extinguished while reinforcing an alternative response (approaching a different sensor). In Phase 3, extinction was in effect for the target and alternative responses. Reversal learning was demonstrated when responding tracked contingency changes between Phases 1 and 2. Moreover, resurgence occurred in 10 of 13 fish in Phase 3: Target response rates increased transiently and exceeded rates of an unreinforced control response. The present study provides the first evidence with zebrafish supporting reversal learning between discrete operant responses and a laboratory model of relapse. These findings open the possibility to assessing genetic influences of operant behavior generally and in models of relapse (e.g., resurgence, renewal, reinstatement). Copyright © 2017 Elsevier B.V. All rights reserved.

Assessment Approaches in Massive Open Online Courses: Possibilities, Challenges and Future Directions

ERIC Educational Resources Information Center

Xiong, Yao; Suen, Hoi K.

2018-01-01

The development of massive open online courses (MOOCs) has launched an era of large-scale interactive participation in education. While massive open enrolment and the advances of learning technology are creating exciting potentials for lifelong learning in formal and informal ways, the implementation of efficient and effective assessment is still…

Knowledge Infrastructures and the Inscrutability of Openness in Education

ERIC Educational Resources Information Center

Edwards, Richard

2015-01-01

Openness has a long genealogy in education. Whether through the use of post, radio, television and digital technologies, extending learning opportunities to more and a wider range of people has been a significant aspect of educational history. Transcending barriers to learning has been promoted as the means of opening educational opportunities in…

Social Work Education through Open and Distance Learning: An Indian Perspective

ERIC Educational Resources Information Center

Dash, Bishnu Mohan; Botcha, Rambabu

2018-01-01

The paper traces the historical perspectives of open and distance education in India. It also discusses the various modalities and standards followed by various universities in offering social work education through open and distance learning (ODL) mode. It also highlights the achievements and challenges of social work education through ODL mode…

Using Open Educational Practices to Support Institutional Strategic Excellence in Teaching, Learning & Scholarship

ERIC Educational Resources Information Center

Carey, Thomas; Davis, Alan; Ferreras, Salvador; Porter, David

2015-01-01

This paper explores the integration of Open Educational Practices (OEP) into an institutional strategy to develop distinctive excellence in teaching, learning and scholarship. The institution in the case study is a public polytechnic university serving a metropolitan area in Canada. If emerging Open Educational Practices are to flourish at our…

Critical Discussions on the Massive Open Online Course (MOOC) in India and China

ERIC Educational Resources Information Center

Trehan, Sangeeta; Sanzgiri, Janesh; Li, Chenxi; Wang, Rongsheng; Joshi, Rakesh Mohan

2017-01-01

Massive Open Online Courses (MOOCs) have been a relatively recent entrant in the field of online learning, yet with their "massiveness" and "openness" were posited to have the potential to transform learning and development in developing countries by providing willing learners with ready access to knowledge and Higher Education…

An Embedded Systems Course for Engineering Students Using Open-Source Platforms in Wireless Scenarios

ERIC Educational Resources Information Center

Rodriguez-Sanchez, M. C.; Torrado-Carvajal, Angel; Vaquero, Joaquin; Borromeo, Susana; Hernandez-Tamames, Juan A.

2016-01-01

This paper presents a case study analyzing the advantages and disadvantages of using project-based learning (PBL) combined with collaborative learning (CL) and industry best practices, integrated with information communication technologies, open-source software, and open-source hardware tools, in a specialized microcontroller and embedded systems…

An Investigation into Social Learning Activities by Practitioners in Open Educational Practices

ERIC Educational Resources Information Center

Schreurs, Bieke; Van den Beemt, Antoine; Prinsen, Fleur; Witthaus, Gabi; Conole, Gráinne; De Laat, Maarten

2014-01-01

By investigating how educational practitioners participate in activities around open educational practices (OEP), this paper aims at contributing to an understanding of open practices and how these practitioners learn to use OEP. Our research is guided by the following hypothesis: Different social configurations support a variety of social…

Antidepressant-like effects of mild hypoxia preconditioning in the learned helplessness model in rats.

PubMed

Rybnikova, Elena; Mironova, Vera; Pivina, Svetlana; Tulkova, Ekaterina; Ordyan, Natalia; Vataeva, Ludmila; Vershinina, Elena; Abritalin, Eugeny; Kolchev, Alexandr; Nalivaeva, Natalia; Turner, Anthony J; Samoilov, Michail

2007-05-07

The effects of preconditioning using mild repetitive hypobaric hypoxia (360 Torr for 2 h each of 3 days) have been studied in the learned helplessness model of depression in rats. Male Wistar rats displayed persistent depressive symptoms (depressive-like behaviour in open field, increased anxiety levels in elevated plus maze, ahedonia, elevated plasma glucocorticoids and impaired dexamethasone test) following the exposure to unpredictable and inescapable footshock in the learned helplessness paradigm. Antidepressant treatment (ludiomil, 5 mg/kg i.p.) augmented the development of the depressive state. The hypoxic preconditioning had a clear antidepressive action returning the behavioural and hormonal parameters to the control values and was equally effective in terms of our study as the antidepressant. The findings suggest hypoxic preconditioning as an effective tool for the prophylaxis of post-stress affective pathologies in humans.

New models to support the professional education of health visitors: A qualitative study of the role of space and place in creating 'community of learning hubs'.

PubMed

Donetto, Sara; Malone, Mary; Sayer, Lynn; Robert, Glenn

2017-07-01

In response to a policy-driven workforce expansion in England new models of preparing health visitors for practice have been implemented. 'Community of Learning hubs' (COLHs) are one such model, involving different possible approaches to student support in clinical practice placements (for example, 'long arm mentoring' or 'action learning set' sessions). Such models present opportunities for studying the possible effects of spatiality on the learning experiences of students and newly qualified health visitors, and on team relationships more broadly. To explore a 'community of learning hub' model in health visitor education and reflect on the role of space and place in the learning experience and professional identity development of student health visitors. Qualitative research conducted during first year of implementation. Three 'community of learning hub' projects based in two NHS community Trusts in London during the period 2013-2015. Managers and leads (n=7), practice teachers and mentors (n=6) and newly qualified and student health visitors (n=16). Semi-structured, audio-recorded interviews analysed thematically. Participants had differing views as to what constituted a 'hub' in their projects. Two themes emerged around the spaces that shape the learning experience of student and newly qualified health visitors. Firstly, a generalised need for a 'quiet place' which allows pause for reflection but also for sharing experiences and relieving common anxieties. Secondly, the role of physical arrangements in open-plan spaces to promote access to support from more experienced practitioners. Attention to spatiality can shed light on important aspects of teaching and learning practices, and on the professional identities these practices shape and support. New configurations of time and space as part of educational initiatives can surface new insights into existing practices and learning models. Copyright © 2017. Published by Elsevier Ltd.

OpenSHS: Open Smart Home Simulator.

PubMed

Alshammari, Nasser; Alshammari, Talal; Sedky, Mohamed; Champion, Justin; Bauer, Carolin

2017-05-02

This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator, OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field of the Internet of Things (IoT) and machine learning to test and evaluate their models. Following a hybrid approach, OpenSHS combines advantages from both interactive and model-based approaches. This approach reduces the time and efforts required to generate simulated smart home datasets. We have designed a replication algorithm for extending and expanding a dataset. A small sample dataset produced, by OpenSHS, can be extended without affecting the logical order of the events. The replication provides a solution for generating large representative smart home datasets. We have built an extensible library of smart devices that facilitates the simulation of current and future smart home environments. Our tool divides the dataset generation process into three distinct phases: first design: the researcher designs the initial virtual environment by building the home, importing smart devices and creating contexts; second, simulation: the participant simulates his/her context-specific events; and third, aggregation: the researcher applies the replication algorithm to generate the final dataset. We conducted a study to assess the ease of use of our tool on the System Usability Scale (SUS).

OpenSHS: Open Smart Home Simulator

PubMed Central

Alshammari, Nasser; Alshammari, Talal; Sedky, Mohamed; Champion, Justin; Bauer, Carolin

2017-01-01

This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator, OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field of the Internet of Things (IoT) and machine learning to test and evaluate their models. Following a hybrid approach, OpenSHS combines advantages from both interactive and model-based approaches. This approach reduces the time and efforts required to generate simulated smart home datasets. We have designed a replication algorithm for extending and expanding a dataset. A small sample dataset produced, by OpenSHS, can be extended without affecting the logical order of the events. The replication provides a solution for generating large representative smart home datasets. We have built an extensible library of smart devices that facilitates the simulation of current and future smart home environments. Our tool divides the dataset generation process into three distinct phases: first design: the researcher designs the initial virtual environment by building the home, importing smart devices and creating contexts; second, simulation: the participant simulates his/her context-specific events; and third, aggregation: the researcher applies the replication algorithm to generate the final dataset. We conducted a study to assess the ease of use of our tool on the System Usability Scale (SUS). PMID:28468330

The Knowledge Web: Learning and Collaborating on the Net. Open and Distance Learning Series.

ERIC Educational Resources Information Center

Eisenstadt, Marc, Ed.; Vincent, Tom, Ed.

This book contains a collection of examples of new and effective uses of the World Wide Web in education from the Knowledge Media Institute (KMi) at the Open University (Great Britain). The publication is organized in three main sections--"Learning Media,""Collaboration and Presence," and "Knowledge Systems on the…

Early Education: The Creation of Capacity.

ERIC Educational Resources Information Center

Tumin, Melvin

Every human being is always open to some degree; for example, open for learning, experience, change, improvement, or further degradation by his own standards or those of others. Every experience alters an individual's learning capacity. Therefore, to say a child is naturally of high or low intelligence with unlimited or limited learning power is…

Mobile Learning via SMS at Open University Malaysia: Equitable, Effective, and Sustainable

ERIC Educational Resources Information Center

Lim, Tina; Fadzil, Mansor; Mansor, Norziati

2011-01-01

This article describes Open University Malaysia's efforts at enhancing the blended learning approach for undergraduate distance learners with the successful implementation of the Mobile Learning via SMS initiative. The pilot project was implemented in the May 2009 semester, and this coming January 2011 semester will be in its sixth consecutive…

Improving the Learning Design of Massive Open Online Courses

ERIC Educational Resources Information Center

Rubens, Wilfred

2014-01-01

Massive Open Online Courses (MOOCs) can be regarded as a promising next step in the evolution of distance education. However, they have been criticised for their poor learning design. This article describes the development of an adequate learning design in a series of nineteen MOOCs (called online master classes). A formative evaluation focuses on…

Student Support Gaps in an Open Distance Learning Context

ERIC Educational Resources Information Center

Arko-Achemfuor, Akwasi

2017-01-01

Studying through distance education can be problematic for any student, but it can be worse for rural students for diverse reasons. To ensure that students studying through the open distance learning (ODL) system have an enduring learning experience, ODL builds student support as one of its components. The University of South Africa (Unisa)…

A Naive Bayes Approach for Converging Learning Objects with Open Educational Resources

ERIC Educational Resources Information Center

Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay; Sharma, B. K.

2016-01-01

Open educational resources (OER) are digitised material freely available to the students and self learners. Many institutions had initiated in incorporating these OERs in their higher educational system, to improve the quality of teaching and learning. These resources promote individualised study, collaborative learning. If they are coupled with…

Improving Open Access through Prior Learning Assessment

ERIC Educational Resources Information Center

Yin, Shuangxu; Kawachi, Paul

2013-01-01

This paper explores and presents new data on how to improve open access in distance education through using prior learning assessments. Broadly there are three types of prior learning assessment (PLAR): Type-1 for prospective students to be allowed to register for a course; Type-2 for current students to avoid duplicating work-load to gain…

Open-source approaches for the repurposing of existing or failed candidate drugs: learning from and applying the lessons across diseases

PubMed Central

Allarakhia, Minna

2013-01-01

Repurposing has the objective of targeting existing drugs and failed, abandoned, or yet-to-be-pursued clinical candidates to new disease areas. The open-source model permits for the sharing of data, resources, compounds, clinical molecules, small libraries, and screening platforms to cost-effectively advance old drugs and/or candidates into clinical re-development. Clearly, at the core of drug-repurposing activities is collaboration, in many cases progressing beyond the open sharing of resources, technology, and intellectual property, to the sharing of facilities and joint program development to foster drug-repurposing human-capacity development. A variety of initiatives under way for drug repurposing, including those targeting rare and neglected diseases, are discussed in this review and provide insight into the stakeholders engaged in drug-repurposing discovery, the models of collaboration used, the intellectual property-management policies crafted, and human capacity developed. In the case of neglected tropical diseases, it is suggested that the development of human capital be a central aspect of drug-repurposing programs. Open-source models can support human-capital development through collaborative data generation, open compound access, open and collaborative screening, preclinical and possibly clinical studies. Given the urgency of drug development for neglected tropical diseases, the review suggests elements from current repurposing programs be extended to the neglected tropical diseases arena. PMID:23966771

Open-source approaches for the repurposing of existing or failed candidate drugs: learning from and applying the lessons across diseases.

PubMed

Allarakhia, Minna

2013-01-01

Repurposing has the objective of targeting existing drugs and failed, abandoned, or yet-to-be-pursued clinical candidates to new disease areas. The open-source model permits for the sharing of data, resources, compounds, clinical molecules, small libraries, and screening platforms to cost-effectively advance old drugs and/or candidates into clinical re-development. Clearly, at the core of drug-repurposing activities is collaboration, in many cases progressing beyond the open sharing of resources, technology, and intellectual property, to the sharing of facilities and joint program development to foster drug-repurposing human-capacity development. A variety of initiatives under way for drug repurposing, including those targeting rare and neglected diseases, are discussed in this review and provide insight into the stakeholders engaged in drug-repurposing discovery, the models of collaboration used, the intellectual property-management policies crafted, and human capacity developed. In the case of neglected tropical diseases, it is suggested that the development of human capital be a central aspect of drug-repurposing programs. Open-source models can support human-capital development through collaborative data generation, open compound access, open and collaborative screening, preclinical and possibly clinical studies. Given the urgency of drug development for neglected tropical diseases, the review suggests elements from current repurposing programs be extended to the neglected tropical diseases arena.

Experience of e-learning implementation through massive open online courses

NASA Astrophysics Data System (ADS)

Ivleva, N. V.; Fibikh, E. V.

2016-04-01

E-learning is considered to be one of the most prospective directions in education development worldwide. To have a competitive advantage over other institutions offering a wide variety of educational services it is important to introduce information and communication technologies into the educational process to develop e-learning on the whole. The aim of the research is to reveal problems which prevent from full implementation of e-learning at the Reshetnev Siberian State Aerospace University (SibSAU) and to suggest ways on solving those problems through optimization of e-learning introduction process at the university by motivating students and teaching staff to participate in massive open online courses and formation of tailored platforms with the view to arrange similar courses at the premises of the university. The paper considers the introduction and development level of e-learning in Russia and at SibSAU particularly. It substantiates necessity to accelerate e-learning introduction process at an aerospace university as a base for training of highly-qualified specialists in the area of aviation, machine building, physics, info-communication technologies and also in other scientific areas within which university training is carried out. The paper covers SibSAU’s experience in e-learning implementation in the educational process through students and teaching staff participation in massive open online courses and mastering other up-to-date and trendy educational platforms and their usage in the educational process. Key words. E-learning, distance learning, online learning, massive open online course.

The Efficiency of the "Learning Management System (LMS)" in AOU, Kuwait, as a Communication Tool in an E-Learning System

ERIC Educational Resources Information Center

Alfadly, Ahmad Assaf

2013-01-01

Purpose: The integration of a Learning Management System (LMS) at the Arab Open University (AOU), Kuwait, opens new possibilities for online interaction between teachers and students. The purpose of this paper is to evaluate the efficiency of the LMS at AOU, Kuwait as a communication tool in the E-learning system and to find the best automated…

Using Optimal Combination of Teaching-Learning Methods (Open Book Assignment and Group Tutorials) as Revision Exercises to Improve Learning Outcome in Low Achievers in Biochemistry

ERIC Educational Resources Information Center

Rajappa, Medha; Bobby, Zachariah; Nandeesha, H.; Suryapriya, R.; Ragul, Anithasri; Yuvaraj, B.; Revathy, G.; Priyadarssini, M.

2016-01-01

Graduate medical students of India are taught Biochemistry by didactic lectures and they hardly get any opportunity to clarify their doubts and reinforce the concepts which they learn in these lectures. We used a combination of teaching-learning (T-L) methods (open book assignment followed by group tutorials) to study their efficacy in improving…

Learning design in healthcare education.

PubMed

Ellaway, Rachel; Dalziel, James; Dalziel, Bronwen

2008-01-01

Emerging from ongoing work into educational modelling languages, learning design principles and the IMS Learning Design framework provide formal ways to annotate and record educational activities. Once educational activities have been encoded they can be played, replayed, adopted, shared, and analysed, thereby reifying much that is otherwise lost in face-to-face teaching. The use of learning design tools, including the free and open source LAMS system (www.lamsfoundation.org), allow practitioners to experiment with learning design approaches in their own teaching, both in terms of creating and encoding their own designs and playing, adapting and analysing designs from other teachers either from within or outside a particular field or subject area. This paper reviews the key issues associated with designing for learning in the context of healthcare education, some of the themes and approaches already in development or use, and the implications of this approach on the practice and theory of healthcare education.

Enhancing a Multi-body Mechanism with Learning-Aided Cues in an Augmented Reality Environment

NASA Astrophysics Data System (ADS)

Singh Sidhu, Manjit

2013-06-01

Augmented Reality (AR) is a potential area of research for education, covering issues such as tracking and calibration, and realistic rendering of virtual objects. The ability to augment real world with virtual information has opened the possibility of using AR technology in areas such as education and training as well. In the domain of Computer Aided Learning (CAL), researchers have long been looking into enhancing the effectiveness of the teaching and learning process by providing cues that could assist learners to better comprehend the materials presented. Although a number of works were done looking into the effectiveness of learning-aided cues, but none has really addressed this issue for AR-based learning solutions. This paper discusses the design and model of an AR based software that uses visual cues to enhance the learning process and the outcome perception results of the cues.

Beyond the "c" and the "x": Learning with algorithms in massive open online courses (MOOCs)

NASA Astrophysics Data System (ADS)

Knox, Jeremy

2018-02-01

This article examines how algorithms are shaping student learning in massive open online courses (MOOCs). Following the dramatic rise of MOOC platform organisations in 2012, over 4,500 MOOCs have been offered to date, in increasingly diverse languages, and with a growing requirement for fees. However, discussions of learning in MOOCs remain polarised around the "xMOOC" and "cMOOC" designations. In this narrative, the more recent extended or platform MOOC ("xMOOC") adopts a broadcast pedagogy, assuming a direct transmission of information to its largely passive audience (i.e. a teacher-centred approach), while the slightly older connectivist model ("cMOOC") offers only a simplistic reversal of the hierarchy, posing students as highly motivated, self-directed and collaborative learners (i.e. a learner-centred approach). The online nature of both models generates data (e.g. on how many times a particular resource was viewed, or the ways in which participants communicated with each other) which MOOC providers use for analysis, albeit only after these data have been selectively processed. Central to many learning analytics approaches is the desire to predict students' future behaviour. Educators need to be aware that MOOC learning is not just about teachers and students, but that it also involves algorithms: instructions which perform automated calculations on data. Education is becoming embroiled in an "algorithmic culture" that defines educational roles, forecasts attainment, and influences pedagogy. Established theories of learning appear wholly inadequate in addressing the agential role of algorithms in the educational domain of the MOOC. This article identifies and examines four key areas where algorithms influence the activities of the MOOC: (1) data capture and discrimination; (2) calculated learners; (3) feedback and entanglement; and (4) learning with algorithms. The article concludes with a call for further research in these areas to surface a critical discourse around the use of algorithms in MOOC education and beyond.

Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS

USGS Publications Warehouse

Bolker, Benjamin M.; Gardner, Beth; Maunder, Mark; Berg, Casper W.; Brooks, Mollie; Comita, Liza; Crone, Elizabeth; Cubaynes, Sarah; Davies, Trevor; de Valpine, Perry; Ford, Jessica; Gimenez, Olivier; Kéry, Marc; Kim, Eun Jung; Lennert-Cody, Cleridy; Magunsson, Arni; Martell, Steve; Nash, John; Nielson, Anders; Regentz, Jim; Skaug, Hans; Zipkin, Elise

2013-01-01

1. Ecologists often use nonlinear fitting techniques to estimate the parameters of complex ecological models, with attendant frustration. This paper compares three open-source model fitting tools and discusses general strategies for defining and fitting models. 2. R is convenient and (relatively) easy to learn, AD Model Builder is fast and robust but comes with a steep learning curve, while BUGS provides the greatest flexibility at the price of speed. 3. Our model-fitting suggestions range from general cultural advice (where possible, use the tools and models that are most common in your subfield) to specific suggestions about how to change the mathematical description of models to make them more amenable to parameter estimation. 4. A companion web site (https://groups.nceas.ucsb.edu/nonlinear-modeling/projects) presents detailed examples of application of the three tools to a variety of typical ecological estimation problems; each example links both to a detailed project report and to full source code and data.

Neuromodulated Synaptic Plasticity on the SpiNNaker Neuromorphic System

PubMed Central

Mikaitis, Mantas; Pineda García, Garibaldi; Knight, James C.; Furber, Steve B.

2018-01-01

SpiNNaker is a digital neuromorphic architecture, designed specifically for the low power simulation of large-scale spiking neural networks at speeds close to biological real-time. Unlike other neuromorphic systems, SpiNNaker allows users to develop their own neuron and synapse models as well as specify arbitrary connectivity. As a result SpiNNaker has proved to be a powerful tool for studying different neuron models as well as synaptic plasticity—believed to be one of the main mechanisms behind learning and memory in the brain. A number of Spike-Timing-Dependent-Plasticity(STDP) rules have already been implemented on SpiNNaker and have been shown to be capable of solving various learning tasks in real-time. However, while STDP is an important biological theory of learning, it is a form of Hebbian or unsupervised learning and therefore does not explain behaviors that depend on feedback from the environment. Instead, learning rules based on neuromodulated STDP (three-factor learning rules) have been shown to be capable of solving reinforcement learning tasks in a biologically plausible manner. In this paper we demonstrate for the first time how a model of three-factor STDP, with the third-factor representing spikes from dopaminergic neurons, can be implemented on the SpiNNaker neuromorphic system. Using this learning rule we first show how reward and punishment signals can be delivered to a single synapse before going on to demonstrate it in a larger network which solves the credit assignment problem in a Pavlovian conditioning experiment. Because of its extra complexity, we find that our three-factor learning rule requires approximately 2× as much processing time as the existing SpiNNaker STDP learning rules. However, we show that it is still possible to run our Pavlovian conditioning model with up to 1 × 104 neurons in real-time, opening up new research opportunities for modeling behavioral learning on SpiNNaker. PMID:29535600

A Web 2.0 Personal Learning Environment for Classical Chinese Poetry

NASA Astrophysics Data System (ADS)

Cao, Yiwei; Klamma, Ralf; Gao, Yan; Lau, Rynson W. H.; Jarke, Matthias

Classical Chinese Poetry (CCP) is a valuable but almost locked treasure chest of human wisdom and civilization since 2000 years. With the advent of the Web 2.0 a renaissance of CCP is possible even outside Chinese-speaking communities world-wide. With mobile technologies and educational games we can address new learning communities for CCP and open the chest again. In this paper, we introduce a Web 2.0 personal learning environment for CCP. We have developed a generic and interoperable data model for CCP we utilize not only for mobile learning scenarios but also for educational gaming with different levels of difficulty. Learners are empowered to learn Chinese poetry, language, history, and culture. This research work shows how modern information technologies assist users to diffuse knowledge across the borderlines of communities and societies.

Digital Badging at The Open University: Recognition for Informal Learning

ERIC Educational Resources Information Center

Law, Patrina

2015-01-01

Awarding badges to recognise achievement is not a new development. Digital badging now offers new ways to recognise learning and motivate learners, providing evidence of skills and achievements in a variety of formal and informal settings. Badged open courses (BOCs) were piloted in various forms by the Open University (OU) in 2013 to provide a…

Effects of Mathematics Innovation and Technology on Students Performance in Open and Distance Learning

ERIC Educational Resources Information Center

Israel, Oginni 'Niyi

2016-01-01

This study investigated the effect of mathematics innovation and technology on students' academic performance in open and distance learning. Quasi -- experimental research design was adopted for the study. The population for the study consisted of all the 200 level primary education students at the National Open University of Nigeria (Ekiti and…

Keeping the Doors of Learning Open for Adult Student-Workers within Higher Education?

ERIC Educational Resources Information Center

Walters, Shirley; Abrahams, Mark; Witbooi, Sally

2015-01-01

The Freedom Charter of the African National Congress (ANC), the triumphant South African liberation movement, proclaims that "the doors of learning shall be open" for all. Twenty years since coming to power, the doors of the universities are struggling to stay open for adult student-workers. An action research project into implementation…

Occasional Papers in Distance Education: Number 11, Charles Sturt University.

ERIC Educational Resources Information Center

Roberts, David, Ed.; Meacham, David, Ed.

The four papers in this collection focus on distance education and open education. In the first paper, "The Open Learning Institute," D. W. Roberts cites the original recommendation that Charles Sturt University establish a new division to be known as the Open Learning Institute, and presents a definition of the concept. In the second…

Examining Digital Literacy Competences and Learning Habits of Open and Distance Learners

ERIC Educational Resources Information Center

Ozdamar-Keskin, Nilgun; Ozata, Fatma Zeynep; Banar, Kerim; Royle, Karl

2015-01-01

The purpose of the study is to examine digital literacy competences and learning habits of learners enrolled in the open and distance education system of Anadolu University in Turkey. Data were gathered from 20.172 open and distance learners through a survey which included four parts: demographic information, abilities to use digital technologies,…

Issues and Challenges in Open and Distance e-Learning: Perspectives from the Philippines

ERIC Educational Resources Information Center

Arinto, Patricia Brazil

2016-01-01

Rapid advances in information and communications technology in the digital age have brought about significant changes in the practice of distance education (DE) worldwide. DE practitioners in the Philippines' open university have coined the term "open and distance e-learning" (ODeL) to refer to the new forms of DE, which are…

Implementing an Open Source Learning Management System: A Critical Analysis of Change Strategies

ERIC Educational Resources Information Center

Uys, Philip M.

2010-01-01

This paper analyses the change and innovation strategies that Charles Sturt University (CSU) used from 2007 to 2009 during the implementation and mainstreaming of an open source learning management system (LMS), Sakai, named locally as "CSU Interact". CSU was in January 2008 the first Australian University to implement an open source…

Pre-Service Teachers' Attitudes toward Teaching Science and Their Science Learning at Indonesia Open University

ERIC Educational Resources Information Center

Suprapto, Nadi; Mursid, Ali

2017-01-01

This study focuses on attitudes toward (teaching) science and the learning of science for primary school among pre-service teachers at the Open University of Indonesia. A three-year longitudinal survey was conducted, involving 379 students as pre-service teachers (PSTs) from the Open University in Surabaya regional office. Attitudes toward…

Does Formal Credit Work for MOOC-Like Learning Environments?

ERIC Educational Resources Information Center

Kursun, Engin

2016-01-01

Although a number of claims have been made describing massive open online courses (MOOCs) as a disruptive innovation in education, these claims have not yet been proven through research. Instead, MOOCs should perhaps be considered as an integrative model for higher education systems, but to do so will require recognition of credentials. Initial…

Battelle Education: Metro Institute of Technology

ERIC Educational Resources Information Center

EDUCAUSE, 2015

2015-01-01

This new district partnership school, slated to open in fall 2015, will serve Columbus, OH students in grades 6-13 in a competency-based, blended learning early college high school model that is focused on both college and career success. The Metro Institute of Technology is designed to solve two problems: (1) capable students may struggle in…

Flipping and MOOCing Your Class Or: How I Learned to Stop Worrying and Love the MOOC

ERIC Educational Resources Information Center

Hlinak, Matt

2016-01-01

Popular and scholarly discussions of higher education pedagogy focus increasingly on two ideas: the "flipped" classroom and massive open online courses (MOOCs). Both flipped classrooms and MOOCs represent substantial departures from the traditional instructional model in higher education. A MOOC is all one-way communication with no…

The Regis Plan for Individualization.

ERIC Educational Resources Information Center

Newton, Robert R.

The trend away from closed teaching systems and toward open learning systems between 1965 and 1975 led to the introduction of a number of isolated innovations in Regis High School, a Catholic school in New York City. To provide a sense of coherence and direction to these changes, the faculty designed a comprehensive model for program development…

Modelling Teacher Development through Open and Distance Learning: A Zimbabwean Experience

ERIC Educational Resources Information Center

Tarusikirwa, Moffat C.

2016-01-01

Historically, in Southern Rhodesia, now Zimbabwe, Standards 3, 4, 5 and 6 would teach during the school term and attend teacher training during the school holidays. This was mostly in Missionary institutions. Later, these organisations changed into full-time teacher training institutions. Then teacher training lasted two years. Students would…

Internationalizing Social Work Education: Models, Methods and Meanings

ERIC Educational Resources Information Center

Merrill, Martha C.; Frost, Caren J.

2011-01-01

International and intercultural learning requires flexibility, openness, and a willingness to adjust--on the part of the school as well as the student. Yet in social work, as in other professions requiring licensure and preparing professionals to work with vulnerable populations, flexibility is not simply a matter of convincing a department head…

Moving toward change: Institutionalizing reform through implementation of the Learning Assistant model and Open Source Tutorials

NASA Astrophysics Data System (ADS)

Goertzen, Renee Michelle; Brewe, Eric; Kramer, Laird H.; Wells, Leanne; Jones, David

2011-12-01

Florida International University has undergone a reform in the introductory physics classes by focusing on the laboratory component of these classes. We present results from the secondary implementation of two research-based instructional strategies: the implementation of the Learning Assistant model as developed by the University of Colorado at Boulder and the Open Source Tutorial curriculum developed at the University of Maryland, College Park. We examine the results of the Force Concept Inventory (FCI) for introductory students over five years (n=872) and find that the mean raw gain of students in transformed lab sections was 0.243, while the mean raw gain of the traditional labs was 0.159, with a Cohen’s d effect size of 0.59. Average raw gains on the FCI were 0.243 for Hispanic students and 0.213 for women in the transformed labs, indicating that these reforms are not widening the gaps between underrepresented student groups and majority groups. Our results illustrate how research-based instructional strategies can be successfully implemented in a physics department with minimal department engagement and in a sustainable manner.

Differential Effects of Music and Video Gaming During Breaks on Auditory and Visual Learning.

PubMed

Liu, Shuyan; Kuschpel, Maxim S; Schad, Daniel J; Heinz, Andreas; Rapp, Michael A

2015-11-01

The interruption of learning processes by breaks filled with diverse activities is common in everyday life. This study investigated the effects of active computer gaming and passive relaxation (rest and music) breaks on auditory versus visual memory performance. Young adults were exposed to breaks involving (a) open eyes resting, (b) listening to music, and (c) playing a video game, immediately after memorizing auditory versus visual stimuli. To assess learning performance, words were recalled directly after the break (an 8:30 minute delay) and were recalled and recognized again after 7 days. Based on linear mixed-effects modeling, it was found that playing the Angry Birds video game during a short learning break impaired long-term retrieval in auditory learning but enhanced long-term retrieval in visual learning compared with the music and rest conditions. These differential effects of video games on visual versus auditory learning suggest specific interference of common break activities on learning.

Shifting workplace behavior to inspire learning: a journey to building a learning culture.

PubMed

Schoonbeek, Sue; Henderson, Amanda

2011-01-01

This article discusses the process of building a learning culture. It began with establishing acceptance and connection with the nurse unit manager and the ward team. In the early phases of developing rapport, bullying became apparent. Because bullying undermines sharing and trust, the hallmarks of learning environments, the early intervention work assisted staff to recognize and counteract bullying behaviors. When predominantly positive relationships were restored, interactions that facilitated open communication, including asking questions and providing feedback-behaviors commensurate with learning in the workplace-were developed during regular in-service sessions. Staff participated in role-play and role modeling desired behaviors. Once staff became knowledgeable about positive learning interactions, reward and recognition strategies began to reinforce attitudes and behaviors that align with learning. Through rewards, all nurses had the opportunity to be recognized for their contribution. Nurses who excelled were invited to become champions to continue engaging the key stakeholders to further build the learning environment. Copyright 2011, SLACK Incorporated.

Burnout Syndrome in Students of a Distance Learning Program: The Open University of Cyprus Experience

ERIC Educational Resources Information Center

Pavlakis, Andreas; Kaitelidou, Dafni

2012-01-01

Introduction: Distance learning seems to have a crucial impact on the social and emotional life of students. Within the framework of distance learning at the Open University of Cyprus, the "Healthcare Management" department conducted a study regarding the levels of stress, anxiety and depression reported by the student population. The…

The Effect of Contextualized Conversational Feedback in a Complex Open-Ended Learning Environment

ERIC Educational Resources Information Center

Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam

2013-01-01

Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…

Psychosocial Well-Being of Israeli Students and Attitudes toward Open and Distance Learning

ERIC Educational Resources Information Center

Kurtz, Gila; Amichai-Hamburger, Yair; Kantor, Jeffrey

2009-01-01

This article reports on a study conducted in Israel at an academic institution. The study investigates the correlation between students' attitudes toward open and distance learning (ODL) and their perceived self-esteem and loneliness at the last stage of their online learning experience. For this study, 120 students were asked to complete a…

Towards Collaboration as Learning: Evaluation of an Open CPD Opportunity for HE Teachers

ERIC Educational Resources Information Center

Nerantzi, Chrissi; Gossman, Peter

2015-01-01

Flexible, Distance and Online Learning (FDOL) is an open online course offered as an informal cross-institutional collaboration based on a postgraduate module in the context of teacher education in higher education. The second iteration, FDOL132, was offered in 2013 using a problem-based learning (PBL) design (FISh) to foster collaborative…

Transactional Distance among Open University Students: How Does it Affect the Learning Process?

ERIC Educational Resources Information Center

Kassandrinou, Amanda; Angelaki, Christina; Mavroidis, Ilias

2014-01-01

This study examines the presence of transactional distance among students, the factors affecting it, as well as the way it influences the learning process of students in a blended distance learning setting in Greece. The present study involved 12 postgraduate students of the Hellenic Open University (HOU). A qualitative research was conducted,…

Learning Materials for Open Learning in Further Education. Coombe Lodge Working Paper. Information Bank Number 1606.

ERIC Educational Resources Information Center

Latcham, J.

Arguing that extensive efforts to produce open learning materials should not be undertaken until the possibility of using or adapting existing materials is considered, this paper identifies current sources of materials available in Great Britain for non-advanced further education. The first sections of the paper review common types of open…

Delivery of Open, Distance, and E-Learning in Kenya

ERIC Educational Resources Information Center

Nyerere, Jackline Anyona; Gravenir, Frederick Q.; Mse, Godfrey S.

2012-01-01

The increased demand and need for continuous learning have led to the introduction of open, distance, and e-learning (ODeL) in Kenya. Provision of this mode of education has, however, been faced with various challenges, among them infrastructural ones. This study was a survey conducted in two public universities offering major components of ODeL,…

Opening the Learning Process: The Potential Role of Feature Film in Teaching Employment Relations

ERIC Educational Resources Information Center

Lafferty, George

2016-01-01

This paper explores the potential of feature film to encourage more inclusive, participatory and open learning in the area of employment relations. Evaluations of student responses in a single postgraduate course over a five-year period revealed how feature film could encourage participatory learning processes in which students reexamined their…

Open Experimentation on Phenomena of Chemical Reactions via the Learning Company Approach in Early Secondary Chemistry Education

ERIC Educational Resources Information Center

Beck, Katharina; Witteck, Torsten; Eilks, Ingo

2010-01-01

Presented is a case study on the implementation of open and inquiry-type experimentation in early German secondary chemistry education. The teaching strategy discussed follows the learning company approach. Originally adopted from vocational education, the learning company method is used to redirect lab-oriented classroom practice towards a more…

Policy Learning to Internationalize European Science: Possibilities and Limitations of Open Coordination

ERIC Educational Resources Information Center

Tamtik, Merli; Sá, Creso M.

2014-01-01

Mutual learning exercises have become increasingly employed in Europe over the last decade. This study examines the policy learning process in the area of internationalization of science and technology, which has been targeted as a priority for Europe. Through a case study of the open method of coordination expert group in this area, the analysis…

Open Doors, Open Minds: Empowered Teachers Work and Learn Shoulder to Shoulder

ERIC Educational Resources Information Center

Hudson, Marcia; Childs, Lauren; Carver, Cynthia L.

2016-01-01

In this article the authors share their experience of Teacher Lab, a job-embedded form of professional learning that has been a critical addition to professional learning practice for nearly a decade in the Avondale School District in Auburn Hills, Michigan. Using a full-day released time format, Teacher Lab combines preobservation dialogue and…

Factors for Development of Learning Content and Task for MOOCs in an Asian Context

ERIC Educational Resources Information Center

Nordin, Norazah; Norman, Helmi; Embi, Mohamed Amin; Mansor, Ahmad Zamri; Idris, Fazilah

2016-01-01

The rapid advancement of emergent learning technologies has led to the introduction of massive open online courses (MOOCs) which offer open-based online learning courses to a large number of students. In line with the advancement, the Malaysia Ministry of Education has recently initiated Malaysia MOOCs via collaboration with four public…

Open Educational Resources in Support of Science Learning: Tools for Inquiry and Observation

ERIC Educational Resources Information Center

Scanlon, Eileen

2012-01-01

This article focuses on the potential of free tools, particularly inquiry tools for influencing participation in twenty-first-century learning in science, as well as influencing the development of communities around tools. Two examples are presented: one on the development of an open source tool for structured inquiry learning that can bridge the…

Beyond the "c" and the "x": Learning with Algorithms in Massive Open Online Courses (MOOCs)

ERIC Educational Resources Information Center

Knox, Jeremy

2018-01-01

This article examines how algorithms are shaping student learning in massive open online courses (MOOCs). Following the dramatic rise of MOOC platform organisations in 2012, over 4,500 MOOCs have been offered to date, in increasingly diverse languages, and with a growing requirement for fees. However, discussions of "learning" in MOOCs…

The Importance of Opening Moves in Classroom Interaction

ERIC Educational Resources Information Center

Ginting, Siti Aisyah

2017-01-01

The analysis of classroom interaction is very important in teaching learning process in order to reach the learning objectives. The purpose of this study was to describe the types of opening moves used by the teacher through the learning process. The research was carried out in Senior High School. The design of the research was descriptive…

Learning and Open Educational Resources: A Psychological Perspective

ERIC Educational Resources Information Center

Terras, Melody M.; Ramsay, Judith; Boyle, Elizabeth

2013-01-01

The provision of Open Educational Resources (OER) means that learning horizons are no longer restricted by time and space. However, if the learning potential of OER is to be fully realised, educators and students must have the media literacy skills to select, use and produce information in a judicious and useful way. A consideration of the…

Optimising the Blended Learning Environment: The Arab Open University Experience

ERIC Educational Resources Information Center

Hamdi, Tahrir; Abu Qudais, Mohammed

2018-01-01

This paper will offer some insights into possible ways to optimise the blended learning environment based on experience with this modality of teaching at Arab Open University/Jordan branch and also by reflecting upon the results of several meta-analytical studies, which have shown blended learning environments to be more effective than their face…

Learning Online: Massive Open Online Courses (MOOCs), Connectivism, and Cultural Psychology

ERIC Educational Resources Information Center

Clara, Marc; Barbera, Elena

2013-01-01

In this reflection, we discuss the connectivist conception of learning in Web 2.0 environments, which underpins the pedagogy of what are known as cMOOCs (connectivist massive open online courses). We argue that this conception of learning is inadequate and problematic, and we propose that cultural psychology is best suited to address the…

Differential effects of wakeful rest, music and video game playing on working memory performance in the n-back task.

PubMed

Kuschpel, Maxim S; Liu, Shuyan; Schad, Daniel J; Heinzel, Stephan; Heinz, Andreas; Rapp, Michael A

2015-01-01

The interruption of learning processes by breaks filled with diverse activities is common in everyday life. We investigated the effects of active computer gaming and passive relaxation (rest and music) breaks on working memory performance. Young adults were exposed to breaks involving (i) eyes-open resting, (ii) listening to music and (iii) playing the video game "Angry Birds" before performing the n-back working memory task. Based on linear mixed-effects modeling, we found that playing the "Angry Birds" video game during a short learning break led to a decline in task performance over the course of the task as compared to eyes-open resting and listening to music, although overall task performance was not impaired. This effect was associated with high levels of daily mind wandering and low self-reported ability to concentrate. These findings indicate that video games can negatively affect working memory performance over time when played in between learning tasks. We suggest further investigation of these effects because of their relevance to everyday activity.

Differential effects of wakeful rest, music and video game playing on working memory performance in the n-back task

PubMed Central

Kuschpel, Maxim S.; Liu, Shuyan; Schad, Daniel J.; Heinzel, Stephan; Heinz, Andreas; Rapp, Michael A.

2015-01-01

The interruption of learning processes by breaks filled with diverse activities is common in everyday life. We investigated the effects of active computer gaming and passive relaxation (rest and music) breaks on working memory performance. Young adults were exposed to breaks involving (i) eyes-open resting, (ii) listening to music and (iii) playing the video game “Angry Birds” before performing the n-back working memory task. Based on linear mixed-effects modeling, we found that playing the “Angry Birds” video game during a short learning break led to a decline in task performance over the course of the task as compared to eyes-open resting and listening to music, although overall task performance was not impaired. This effect was associated with high levels of daily mind wandering and low self-reported ability to concentrate. These findings indicate that video games can negatively affect working memory performance over time when played in between learning tasks. We suggest further investigation of these effects because of their relevance to everyday activity. PMID:26579055

Transfer Learning with Convolutional Neural Networks for SAR Ship Recognition

NASA Astrophysics Data System (ADS)

Zhang, Di; Liu, Jia; Heng, Wang; Ren, Kaijun; Song, Junqiang

2018-03-01

Ship recognition is the backbone of marine surveillance systems. Recent deep learning methods, e.g. Convolutional Neural Networks (CNNs), have shown high performance for optical images. Learning CNNs, however, requires a number of annotated samples to estimate numerous model parameters, which prevents its application to Synthetic Aperture Radar (SAR) images due to the limited annotated training samples. Transfer learning has been a promising technique for applications with limited data. To this end, a novel SAR ship recognition method based on CNNs with transfer learning has been developed. In this work, we firstly start with a CNNs model that has been trained in advance on Moving and Stationary Target Acquisition and Recognition (MSTAR) database. Next, based on the knowledge gained from this image recognition task, we fine-tune the CNNs on a new task to recognize three types of ships in the OpenSARShip database. The experimental results show that our proposed approach can obviously increase the recognition rate comparing with the result of merely applying CNNs. In addition, compared to existing methods, the proposed method proves to be very competitive and can learn discriminative features directly from training data instead of requiring pre-specification or pre-selection manually.

The Use of Open-Ended Questions with Giving Feedback (OEQGF) for Effective Mathematic Learning

NASA Astrophysics Data System (ADS)

Sabilah, I.; Manoy, J. T.

2018-01-01

Feedback deals with giving information to students related to their task which is done through score of their achievement, reaction, and comments. Considering its hierarchy, task difficulty level consists of low, middle and high levels. The difficulty level of open-ended questions is middle to high. Open-ended question is a good way to train students’ knowledge. This research is a descriptive research which aims at describing teacher’s learning management, students’ activities, students’ learning achievement, and students’ responses in mathematic learning using OEQGF. The subject was a teacher of mathematics who teaches eighth graders, and students themselves. The research design used is one shot case study. The result shows that: management learning has been very well implemented by the teacher; every students’ activity has been carried out by students; the students’ learning achievement have reached the criteria of completeness, and the students’ responses can be considered as positive. Therefore, it can be concluded that mathematic learning using OEQGF is effective.

Computational modeling of spiking neural network with learning rules from STDP and intrinsic plasticity

NASA Astrophysics Data System (ADS)

Li, Xiumin; Wang, Wei; Xue, Fangzheng; Song, Yongduan

2018-02-01

Recently there has been continuously increasing interest in building up computational models of spiking neural networks (SNN), such as the Liquid State Machine (LSM). The biologically inspired self-organized neural networks with neural plasticity can enhance the capability of computational performance, with the characteristic features of dynamical memory and recurrent connection cycles which distinguish them from the more widely used feedforward neural networks. Despite a variety of computational models for brain-like learning and information processing have been proposed, the modeling of self-organized neural networks with multi-neural plasticity is still an important open challenge. The main difficulties lie in the interplay among different forms of neural plasticity rules and understanding how structures and dynamics of neural networks shape the computational performance. In this paper, we propose a novel approach to develop the models of LSM with a biologically inspired self-organizing network based on two neural plasticity learning rules. The connectivity among excitatory neurons is adapted by spike-timing-dependent plasticity (STDP) learning; meanwhile, the degrees of neuronal excitability are regulated to maintain a moderate average activity level by another learning rule: intrinsic plasticity (IP). Our study shows that LSM with STDP+IP performs better than LSM with a random SNN or SNN obtained by STDP alone. The noticeable improvement with the proposed method is due to the better reflected competition among different neurons in the developed SNN model, as well as the more effectively encoded and processed relevant dynamic information with its learning and self-organizing mechanism. This result gives insights to the optimization of computational models of spiking neural networks with neural plasticity.

Potentiality of Disaster Management Education through Open and Distance Learning System in Bangladesh Open University

ERIC Educational Resources Information Center

Ahmad, Saima; Numan, Sharker Md.

2015-01-01

Bangladesh Open University (BOU) is the only public educational institution in Bangladesh, where, a dual-mode method of learning system has been introduced. Established in 21st October, 1992, the University now accommodates 174,459 learners in 2012. The wide range networking of this university provides it a great prospect to execute a broad…

Xtreme Learning Control: Examples of the Open Source Movement's Impact on Our Educational Practice in a University Setting.

ERIC Educational Resources Information Center

Dunlap, Joanna C.; Wilson, Brent G.; Young, David L.

This paper describes how Open Source philosophy, a movement that has developed in opposition to the proprietary software industry, has influenced educational practice in the pursuit of scholarly freedom and authentic learning activities for students and educators. This paper provides a brief overview of the Open Source movement, and describes…

Professional development for design-based learning in engineering education: a case study

NASA Astrophysics Data System (ADS)

Gómez Puente, Sonia M.; van Eijck, Michiel; Jochems, Wim

2015-01-01

Design-based learning (DBL) is an educational approach in which students gather and apply theoretical knowledge to solve design problems. In this study, we examined how critical DBL dimensions (project characteristics, design elements, the teacher's role, assessment, and social context) are applied by teachers in the redesign of DBL projects. We conducted an intervention for the professional development of the DBL teachers in the Mechanical Engineering and the Electrical Engineering departments. We used the Experiential Learning Cycle as an educational model for the professionalisation programme. The findings show that the programme encouraged teachers to apply the DBL theoretical framework. However, there are some limitations with regard to specific project characteristics. Further research into supporting teachers to develop open-ended and multidisciplinary activities in the projects that support learning is recommended.

The potential of open learning in animal breeding.

PubMed

Lohuis, M M; Lohuis, C T; Petrongolo, R A

1999-07-01

Animal breeding education is presently facing many challenges. These include rapid changes in breeding knowledge and technology, resource and funding restrictions, and altering demographics of the learner and the animal breeding industry. These challenges can be met via an open learning educational format. This nontraditional approach is based on the needs of individual learners, not the interests of the teacher or the institution. An important feature of open learning is its appropriateness for the professional development audience. Delivery methods include interactive distance courses on the Web, computer-assisted learning, and team-based study. The Canadian dairy breeding industry has expressed the need for ongoing professional development to understand and adopt new animal breeding technologies. The University of Guelph responded by delivering a series of animal breeding short courses (Executive Certificate Program in Animal Breeding) to industry decision makers in 1997. A version modified specifically for farmers and breeding industry personnel was offered in 1998. Through the collaboration of experts from various agricultural institutions and the use of a learner-centered format, this professional development initiative was a pedagogical and financial success. This paper describes how the open learning approach differs from traditional university teaching. Using the University of Guelph example in animal breeding professional development, the framework for a successful open learning program will be examined. The best practices for effective adult education will also be identified and discussed within this case study.

Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods

DOE PAGES

Kolb, Brian; Lentz, Levi C.; Kolpak, Alexie M.

2017-04-26

Modern ab initio methods have rapidly increased our understanding of solid state materials properties, chemical reactions, and the quantum interactions between atoms. However, poor scaling often renders direct ab initio calculations intractable for large or complex systems. There are two obvious avenues through which to remedy this problem: (i) develop new, less expensive methods to calculate system properties, or (ii) make existing methods faster. This paper describes an open source framework designed to pursue both of these avenues. PROPhet (short for PROPerty Prophet) utilizes machine learning techniques to find complex, non-linear mappings between sets of material or system properties. Themore » result is a single code capable of learning analytical potentials, non-linear density functionals, and other structure-property or property-property relationships. These capabilities enable highly accurate mesoscopic simulations, facilitate computation of expensive properties, and enable the development of predictive models for systematic materials design and optimization. Here, this work explores the coupling of machine learning to ab initio methods through means both familiar (e.g., the creation of various potentials and energy functionals) and less familiar (e.g., the creation of density functionals for arbitrary properties), serving both to demonstrate PROPhet’s ability to create exciting post-processing analysis tools and to open the door to improving ab initio methods themselves with these powerful machine learning techniques.« less

Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kolb, Brian; Lentz, Levi C.; Kolpak, Alexie M.

Modern ab initio methods have rapidly increased our understanding of solid state materials properties, chemical reactions, and the quantum interactions between atoms. However, poor scaling often renders direct ab initio calculations intractable for large or complex systems. There are two obvious avenues through which to remedy this problem: (i) develop new, less expensive methods to calculate system properties, or (ii) make existing methods faster. This paper describes an open source framework designed to pursue both of these avenues. PROPhet (short for PROPerty Prophet) utilizes machine learning techniques to find complex, non-linear mappings between sets of material or system properties. Themore » result is a single code capable of learning analytical potentials, non-linear density functionals, and other structure-property or property-property relationships. These capabilities enable highly accurate mesoscopic simulations, facilitate computation of expensive properties, and enable the development of predictive models for systematic materials design and optimization. Here, this work explores the coupling of machine learning to ab initio methods through means both familiar (e.g., the creation of various potentials and energy functionals) and less familiar (e.g., the creation of density functionals for arbitrary properties), serving both to demonstrate PROPhet’s ability to create exciting post-processing analysis tools and to open the door to improving ab initio methods themselves with these powerful machine learning techniques.« less

A Bayesian Machine Learning Model for Estimating Building Occupancy from Open Source Data

DOE PAGES

Stewart, Robert N.; Urban, Marie L.; Duchscherer, Samantha E.; ...

2016-01-01

Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling. Due to the expense of directly monitoring buildings, scientists rely in addition on a wide and disparate array of ancillary and open source information including subject matter expertise, survey data, and remote sensing information. These data are fused using data harmonization methods which refer to a loose collection of formal and informal techniques for fusing data together to create viable content for building occupancy estimation. In this paper, we add to the current state of the artmore » by introducing the Population Data Tables (PDT), a Bayesian based informatics system for systematically arranging data and harmonization techniques into a consistent, transparent, knowledge learning framework that retains in the final estimation uncertainty emerging from data, expert judgment, and model parameterization. PDT probabilistically estimates ambient occupancy in units of people/1000ft2 for over 50 building types at the national and sub-national level with the goal of providing global coverage. The challenge of global coverage led to the development of an interdisciplinary geospatial informatics system tool that provides the framework for capturing, storing, and managing open source data, handling subject matter expertise, carrying out Bayesian analytics as well as visualizing and exporting occupancy estimation results. We present the PDT project, situate the work within the larger community, and report on the progress of this multi-year project.Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling. Due to the expense of directly monitoring buildings, scientists rely in addition on a wide and disparate array of ancillary and open source information including subject matter expertise, survey data, and remote sensing information. These data are fused using data harmonization methods which refer to a loose collection of formal and informal techniques for fusing data together to create viable content for building occupancy estimation. In this paper, we add to the current state of the art by introducing the Population Data Tables (PDT), a Bayesian model and informatics system for systematically arranging data and harmonization techniques into a consistent, transparent, knowledge learning framework that retains in the final estimation uncertainty emerging from data, expert judgment, and model parameterization. PDT probabilistically estimates ambient occupancy in units of people/1000 ft 2 for over 50 building types at the national and sub-national level with the goal of providing global coverage. The challenge of global coverage led to the development of an interdisciplinary geospatial informatics system tool that provides the framework for capturing, storing, and managing open source data, handling subject matter expertise, carrying out Bayesian analytics as well as visualizing and exporting occupancy estimation results. We present the PDT project, situate the work within the larger community, and report on the progress of this multi-year project.« less

Toward Global Real Time Hydrologic Modeling - An "Open" View From the Trenches

NASA Astrophysics Data System (ADS)

Nelson, J.

2015-12-01

Big Data has become a popular term to describe the exponential growth of data and related cyber infrastructure to process it so that better analysis can be performed and lead to improved decision-making. How are we doing in the hydrologic sciences? As part of a significant collaborative effort that brought together scientists from public, private, and academic organizations a new transformative hydrologic forecasting modeling infrastructure has been developed. How was it possible to go from deterministic hydrologic forecasts largely driven through manual interactions at 3600 stations to automated 15-day ensemble forecasts at 2.67 million stations? Earth observations of precipitation, temperature, moisture, and other atmospheric and land surface conditions form the foundation of global hydrologic forecasts, but this project demonstrates a critical component to harness these resources can be summed up in one word: OPEN. Whether it is open data sources, open software solutions with open standards, or just being open to collaborations and building teams across institutions, disciplines, and international boundaries, time and time again through my involvement in the development of a high-resolution real time global hydrologic forecasting model I have discovered that in every aspect the sum has always been greater than the parts. While much has been accomplished, much more remains to be done, but the most important lesson learned has been to the degree that we can remain open and work together, the greater our ability will be to use big data hydrologic modeling resources to solve the world's most vexing water related challenges. This presentation will demonstrate a transformational global real time hydrologic forecasting application based on downscaled ECMWF ensemble forecasts, RAPID routing, and Tethys Platform for cloud computing and visualization with discussions of the human and cyber infrastructure connections that make it successful and needs moving forward.

Open Source Software in Teaching Physics: A Case Study on Vector Algebra and Visual Representations

ERIC Educational Resources Information Center

Cataloglu, Erdat

2006-01-01

This study aims to report the effort on teaching vector algebra using free open source software (FOSS). Recent studies showed that students have difficulties in learning basic physics concepts. Constructivist learning theories suggest the use of visual and hands-on activities in learning. We will report on the software used for this purpose. The…

Adding Value to Education for Sustainability in Africa with Inquiry-Based Approaches in Open and Distance Learning

ERIC Educational Resources Information Center

Pretorius, Rudi; Lombard, Andrea; Khotoo, Anisa

2016-01-01

Purpose: Inquiry-based approaches can potentially enrich sustainability learning in any educational context, more so in open and distance learning (ODL--perceived as theoretically inclined) and in regions of educational need (such as the Global South, of which Africa forms part). The purpose of this paper is to map the benefits and challenges of…

Exploring the Mediating Role of Graduate Attributes in Relation to Academic Self-Directedness in Open Distance Learning

ERIC Educational Resources Information Center

Coetzee, Melinde

2014-01-01

The objective of this study is to add to the extant literature on graduate attributes by examining the mediating role of global/moral citizenship and lifelong learning attributes in the relation between students' scholarship attributes and their academic self-directedness in a higher-education open distance learning (ODL) environment. The Graduate…

Open Learning Systems in Further Education. Some Aspects of Resource Management. Coombe Lodge Working Paper. Information Bank Number 1611.

ERIC Educational Resources Information Center

Birch, D. W.; Latcham, J.

Open learning systems require the development of learning materials. Potential economies of scale and quality control advantages argue in favor of the central development of materials packages. Instructors would be free to concentrate upon the provision of tutorial and counseling support and laboratory and workshop hands-on experience. Some method…

First Year Learning Experiences of University Undergraduates in the Use of Open Educational Resources in Online Learning

ERIC Educational Resources Information Center

Afolabi, Folashade

2017-01-01

This study investigated the first year University undergraduates' experiences in the use of open educational resources (OER) in online learning and their in-course achievement. The design selected for the study was survey and quasi-experimental. A total number of 106 University undergraduates participated in the study after a preliminary study was…

The Place of Multiple Intelligence in Achieving the Objectives and Goals of Open and Distance Learning Institutions: A Critical Analysis

ERIC Educational Resources Information Center

Ojo, Olugbenga David; Olakulehin, Felix Kayode

2006-01-01

This paper examined the nature of open and distance learning institutions as organizations where synergy of efforts of all personnel is required in order to achieve the aims and objectives of the institution. It explored the huge infrastructural and personnel requirements of distance learning institutions, especially at inception, and the…

Cost Effectiveness of Open and Distance Learning in Nigeria: Responses from Focus Group Discussions

ERIC Educational Resources Information Center

Ojo, David Olugbenga; Rotimi, Ogidan; Kayode, Olakulehin Felix

2006-01-01

This study reports the out come of a primary qualitative investigation of open and distance learning system of education as a panacea to the problem of socially induced constraints on the acquisition of education, that may lead to the inability to attend higher institutions of learning, acquire certificates, become a qualified skilled worker by…

The Influence of the Openness of an E-Learning Situation on Adult Students' Self-Regulation

ERIC Educational Resources Information Center

Jezegou, Annie

2013-01-01

This article presents empirical research conducted with French speaking adults studying for a diploma. Their training took place mainly in e-learning. The goal of this research was to identify and explain the processes of influence existing between two specific dimensions: the degree of openness of the components of the e-learning situation and…

Design of Open Content Social Learning That Increases Learning Efficiency and Engagement Based on Open Pedagogy

ERIC Educational Resources Information Center

John, Benneaser; Thavavel, V.; Jayaraj, Jayakumar; Muthukumar, A.; Jeevanandam, Poornaselvan Kittu

2016-01-01

Academic writing skills are crucial when students, e.g., in teacher education programs, write their undergraduate theses. A multi-modal web-based and self-regulated learning resource on academic writing was developed, using texts, hypertext, moving images, podcasts and templates. A study, using surveys and a focus group, showed that students used…

Quality Assurance in Open and Distance Learning. Knowledge Series. A Topical, Start-Up Guide to Distance Education Practice and Delivery

ERIC Educational Resources Information Center

Kirkpatrick, Denise

2005-01-01

Assuring the quality of education provision is a fundamental aspect of gaining and maintaining credibility for programmes, institutions and national systems of higher education worldwide. Despite a long and generally successful track record, open and distance learning (ODL) is still required to prove that the quality of student learning is at…

The Impact of Web Based Resource Material on Learning Outcome in Open Distance Higher Education

ERIC Educational Resources Information Center

Masrur, Rehana

2010-01-01

One of the most powerful educational option in open and distance education is web-based learning. A blended (hybrid) course combines traditional face to face and web-based learning approaches in an educational environment that is nonspecific as to time and place. The study reported here investigated the impact of web based resource material…

The Implementation of Open-Inquiry Approach to Improve Students' Learning Activities, Responses, and Mathematical Creative Thinking Skills

ERIC Educational Resources Information Center

Kadir; Lucyana; Satriawati, Gusni

2017-01-01

This study aims to reveal the improvement of the students' learning activities, responses, and mathematical creative thinking skills (MCTS) through open-inquiry approach (OIA). Other relevant studies in mathematics learning tend to focus on guided inquiry, and especially in Indonesia, OIA is still less applied. This study is conducted at State…

Essential, Desirable or Optional? Making Distance E-Learning Courses Available to Those without Internet Access

ERIC Educational Resources Information Center

Hancock, Val

2010-01-01

The Open University, an open distance learning institution, is increasingly using a Virtual Learning Environment (VLE) that requires internet access. This paper investigates how the move to a VLE has affected one group of students who do not have internet access--offender learners studying in prison. Members of the armed forces and secure hospital…

Will MOOCs Transform Learning and Teaching in Higher Education? Engagement and Course Retention in Online Learning Provision

ERIC Educational Resources Information Center

de Freitas, Sara Isabella; Morgan, John; Gibson, David

2015-01-01

Massive open online courses (MOOCs) have been the subject of much polarised debate around their potential to transform higher education in terms of opening access. Although MOOCs have been attracting large learner cohorts, concerns have emerged from the early evidence base centring upon issues of quality in learning and teaching provision, and…

Learning in a Small, Task-Oriented, Connectivist MOOC: Pedagogical Issues and Implications for Higher Education

ERIC Educational Resources Information Center

Mackness, Jenny; Waite, Marion; Roberts, George; Lovegrove, Elizabeth

2013-01-01

Despite the increase in massive open online courses (MOOCs), evidence about the pedagogy of learning in MOOCs remains limited. This paper reports on an investigation into the pedagogy in one MOOC--Oxford Brookes University's "First Steps in Learning and Teaching in Higher Education" MOOC (FSLT12). FSLT12 was an open and free professional…

Deep Learning to Classify Radiology Free-Text Reports.

PubMed

Chen, Matthew C; Ball, Robyn L; Yang, Lingyao; Moradzadeh, Nathaniel; Chapman, Brian E; Larson, David B; Langlotz, Curtis P; Amrhein, Timothy J; Lungren, Matthew P

2018-03-01

Purpose To evaluate the performance of a deep learning convolutional neural network (CNN) model compared with a traditional natural language processing (NLP) model in extracting pulmonary embolism (PE) findings from thoracic computed tomography (CT) reports from two institutions. Materials and Methods Contrast material-enhanced CT examinations of the chest performed between January 1, 1998, and January 1, 2016, were selected. Annotations by two human radiologists were made for three categories: the presence, chronicity, and location of PE. Classification of performance of a CNN model with an unsupervised learning algorithm for obtaining vector representations of words was compared with the open-source application PeFinder. Sensitivity, specificity, accuracy, and F1 scores for both the CNN model and PeFinder in the internal and external validation sets were determined. Results The CNN model demonstrated an accuracy of 99% and an area under the curve value of 0.97. For internal validation report data, the CNN model had a statistically significant larger F1 score (0.938) than did PeFinder (0.867) when classifying findings as either PE positive or PE negative, but no significant difference in sensitivity, specificity, or accuracy was found. For external validation report data, no statistical difference between the performance of the CNN model and PeFinder was found. Conclusion A deep learning CNN model can classify radiology free-text reports with accuracy equivalent to or beyond that of an existing traditional NLP model. © RSNA, 2017 Online supplemental material is available for this article.

Nursing students' perceptions of learning in practice environments: a review.

PubMed

Henderson, Amanda; Cooke, Marie; Creedy, Debra K; Walker, Rachel

2012-04-01

Effective clinical learning requires integration of nursing students into ward activities, staff engagement to address individual student learning needs, and innovative teaching approaches. Assessing characteristics of practice environments can provide useful insights for development. This study identified predominant features of clinical learning environments from nursing students' perspectives across studies using the same measure in different countries over the last decade. Six studies, from three different countries, using the Clinical Leaning Environment Inventory (CLEI) were reviewed. Studies explored consistent trends about learning environment. Students rated sense of task accomplishment high. Affiliation also rated highly though was influenced by models of care. Feedback measuring whether students' individual needs and views were accommodated consistently rated lower. Across different countries students report similar perceptions about learning environments. Clinical learning environments are most effective in promoting safe practice and are inclusive of student learners, but not readily open to innovation and challenges to routine practices. Crown Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

Place and Response Learning in the Open-field Tower Maze.

PubMed

Lipatova, Olga; Campolattaro, Matthew M; Toufexis, Donna J; Mabry, Erin A

2015-10-28

This protocol describes how the Open-field Tower Maze (OFTM) paradigm is used to study spatial learning in rodents. This maze is especially useful for examining how rats learn to use a place- or response-learning to successfully navigate in an open-field arena. Additionally, this protocol describes how the OFTM differs from other behavioral maze paradigms that are commonly used to study spatial learning in rodents. The OFTM described in this article was adapted from the one previously described by Cole, Clipperton, and Walt (2007). Specifically, the OFTM was created to test spatial learning in rodents without the experimenter having to consider how "stress" might play a role as a confounding variable. Experiments have shown that stress-alone can significantly affect cognitive function(1). The representative results section contains data from an experiment that used the OFTM to examine the effects of estradiol treatment on place- and response-learning in adult female Sprague Dawley rats(2). Future studies will be designed to examine the role of the hippocampus and striatum in place- and response-learning in the OFTM.