Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas.
Yu, Chao; Zhang, Minjie; Ren, Fenghui; Tan, Guozhen
2015-12-01
Social dilemmas have attracted extensive interest in the research of multiagent systems in order to study the emergence of cooperative behaviors among selfish agents. Understanding how agents can achieve cooperation in social dilemmas through learning from local experience is a critical problem that has motivated researchers for decades. This paper investigates the possibility of exploiting emotions in agent learning in order to facilitate the emergence of cooperation in social dilemmas. In particular, the spatial version of social dilemmas is considered to study the impact of local interactions on the emergence of cooperation in the whole system. A double-layered emotional multiagent reinforcement learning framework is proposed to endow agents with internal cognitive and emotional capabilities that can drive these agents to learn cooperative behaviors. Experimental results reveal that various network topologies and agent heterogeneities have significant impacts on agent learning behaviors in the proposed framework, and under certain circumstances, high levels of cooperation can be achieved among the agents.
NASA Technical Reports Server (NTRS)
Berenji, Hamid R.; Vengerov, David
1999-01-01
Successful operations of future multi-agent intelligent systems require efficient cooperation schemes between agents sharing learning experiences. We consider a pseudo-realistic world in which one or more opportunities appear and disappear in random locations. Agents use fuzzy reinforcement learning to learn which opportunities are most worthy of pursuing based on their promise rewards, expected lifetimes, path lengths and expected path costs. We show that this world is partially observable because the history of an agent influences the distribution of its future states. We consider a cooperation mechanism in which agents share experience by using and-updating one joint behavior policy. We also implement a coordination mechanism for allocating opportunities to different agents in the same world. Our results demonstrate that K cooperative agents each learning in a separate world over N time steps outperform K independent agents each learning in a separate world over K*N time steps, with this result becoming more pronounced as the degree of partial observability in the environment increases. We also show that cooperation between agents learning in the same world decreases performance with respect to independent agents. Since cooperation reduces diversity between agents, we conclude that diversity is a key parameter in the trade off between maximizing utility from cooperation when diversity is low and maximizing utility from competitive coordination when diversity is high.
Learning to cooperate in solving the traveling salesman problem.
Qi, Dehu; Sun, Ron
2005-01-01
A cooperative team of agents may perform many tasks better than single agents. The question is how cooperation among self-interested agents should be achieved. It is important that, while we encourage cooperation among agents in a team, we maintain autonomy of individual agents as much as possible, so as to maintain flexibility and generality. This paper presents an approach based on bidding utilizing reinforcement values acquired through reinforcement learning. We tested and analyzed this approach and demonstrated that a team indeed performed better than the best single agent as well as the average of single agents.
Multiagent cooperation and competition with deep reinforcement learning.
Tampuu, Ardi; Matiisen, Tambet; Kodelja, Dorian; Kuzovkin, Ilya; Korjus, Kristjan; Aru, Juhan; Aru, Jaan; Vicente, Raul
2017-01-01
Evolution of cooperation and competition can appear when multiple adaptive agents share a biological, social, or technological niche. In the present work we study how cooperation and competition emerge between autonomous agents that learn by reinforcement while using only their raw visual input as the state representation. In particular, we extend the Deep Q-Learning framework to multiagent environments to investigate the interaction between two learning agents in the well-known video game Pong. By manipulating the classical rewarding scheme of Pong we show how competitive and collaborative behaviors emerge. We also describe the progression from competitive to collaborative behavior when the incentive to cooperate is increased. Finally we show how learning by playing against another adaptive agent, instead of against a hard-wired algorithm, results in more robust strategies. The present work shows that Deep Q-Networks can become a useful tool for studying decentralized learning of multiagent systems coping with high-dimensional environments.
Multiagent cooperation and competition with deep reinforcement learning
Kodelja, Dorian; Kuzovkin, Ilya; Korjus, Kristjan; Aru, Juhan; Aru, Jaan; Vicente, Raul
2017-01-01
Evolution of cooperation and competition can appear when multiple adaptive agents share a biological, social, or technological niche. In the present work we study how cooperation and competition emerge between autonomous agents that learn by reinforcement while using only their raw visual input as the state representation. In particular, we extend the Deep Q-Learning framework to multiagent environments to investigate the interaction between two learning agents in the well-known video game Pong. By manipulating the classical rewarding scheme of Pong we show how competitive and collaborative behaviors emerge. We also describe the progression from competitive to collaborative behavior when the incentive to cooperate is increased. Finally we show how learning by playing against another adaptive agent, instead of against a hard-wired algorithm, results in more robust strategies. The present work shows that Deep Q-Networks can become a useful tool for studying decentralized learning of multiagent systems coping with high-dimensional environments. PMID:28380078
NASA Astrophysics Data System (ADS)
Wang, W.; Wang, D.; Peng, Z. H.
2017-09-01
Without assuming that the communication topologies among the neural network (NN) weights are to be undirected and the states of each agent are measurable, the cooperative learning NN output feedback control is addressed for uncertain nonlinear multi-agent systems with identical structures in strict-feedback form. By establishing directed communication topologies among NN weights to share their learned knowledge, NNs with cooperative learning laws are employed to identify the uncertainties. By designing NN-based κ-filter observers to estimate the unmeasurable states, a new cooperative learning output feedback control scheme is proposed to guarantee that the system outputs can track nonidentical reference signals with bounded tracking errors. A simulation example is given to demonstrate the effectiveness of the theoretical results.
ERIC Educational Resources Information Center
Moreno, Roxana
2009-01-01
Participants in the present study were 87 college students who learned about botany using an agent-based instructional program with three different learning approaches: individual, jigsaw, or cooperative learning. Results showed no differences among learning approaches on retention. Students in jigsaw groups reported higher cognitive load during…
Learning and innovative elements of strategy adoption rules expand cooperative network topologies.
Wang, Shijun; Szalay, Máté S; Zhang, Changshui; Csermely, Peter
2008-04-09
Cooperation plays a key role in the evolution of complex systems. However, the level of cooperation extensively varies with the topology of agent networks in the widely used models of repeated games. Here we show that cooperation remains rather stable by applying the reinforcement learning strategy adoption rule, Q-learning on a variety of random, regular, small-word, scale-free and modular network models in repeated, multi-agent Prisoner's Dilemma and Hawk-Dove games. Furthermore, we found that using the above model systems other long-term learning strategy adoption rules also promote cooperation, while introducing a low level of noise (as a model of innovation) to the strategy adoption rules makes the level of cooperation less dependent on the actual network topology. Our results demonstrate that long-term learning and random elements in the strategy adoption rules, when acting together, extend the range of network topologies enabling the development of cooperation at a wider range of costs and temptations. These results suggest that a balanced duo of learning and innovation may help to preserve cooperation during the re-organization of real-world networks, and may play a prominent role in the evolution of self-organizing, complex systems.
ICPL: Intelligent Cooperative Planning and Learning for Multi-agent Systems
2012-02-29
objective was to develop a new planning approach for teams!of multiple UAVs that tightly integrates learning and cooperative!control algorithms at... algorithms at multiple levels of the planning architecture. The research results enabled a team of mobile agents to learn to adapt and react to uncertainty in...expressive representation that incorporates feature conjunctions. Our algorithm is simple to implement, fast to execute, and can be combined with any
ERIC Educational Resources Information Center
Chin, Kai-Yi; Hong, Zeng-Wei; Huang, Yueh-Min; Shen, Wei-Wei; Lin, Jim-Min
2016-01-01
The addition of animated pedagogical agents (APAs) in computer-assisted learning (CAL) systems could successfully enhance students' learning motivation and engagement in learning activities. Conventionally, the APA incorporated multimedia materials are constructed through the cooperation of teachers and software programmers. However, the thinking…
A study on expertise of agents and its effects on cooperative Q-learning.
Araabi, Babak Nadjar; Mastoureshgh, Sahar; Ahmadabadi, Majid Nili
2007-04-01
Cooperation in learning (CL) can be realized in a multiagent system, if agents are capable of learning from both their own experiments and other agents' knowledge and expertise. Extra resources are exploited into higher efficiency and faster learning in CL as compared to that of individual learning (IL). In the real world, however, implementation of CL is not a straightforward task, in part due to possible differences in area of expertise (AOE). In this paper, reinforcement-learning homogenous agents are considered in an environment with multiple goals or tasks. As a result, they become expert in different domains with different amounts of expertness. Each agent uses a one-step Q-learning algorithm and is capable of exchanging its Q-table with those of its teammates. Two crucial questions are addressed in this paper: "How the AOE of an agent can be extracted?" and "How agents can improve their performance in CL by knowing their AOEs?" An algorithm is developed to extract the AOE based on state transitions as a gold standard from a behavioral point of view. Moreover, it is discussed that the AOE can be implicitly obtained through agents' expertness in the state level. Three new methods for CL through the combination of Q-tables are developed and examined for overall performance after CL. The performances of developed methods are compared with that of IL, strategy sharing (SS), and weighted SS (WSS). Obtained results show the superior performance of AOE-based methods as compared to that of existing CL methods, which do not use the notion of AOE. These results are very encouraging in support of the idea that "cooperation based on the AOE" performs better than the general CL methods.
Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning.
Fernandez-Gauna, Borja; Etxeberria-Agiriano, Ismael; Graña, Manuel
2015-01-01
Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. In this paper we formalize and prove the convergence of a Distributed Round Robin Q-learning (D-RR-QL) algorithm for cooperative systems. The computational complexity of this algorithm increases linearly with the number of agents. Moreover, it eliminates environment non sta tionarity by carrying a round-robin scheduling of the action selection and execution. That this learning scheme allows the implementation of Modular State-Action Vetoes (MSAV) in cooperative multi-agent systems, which speeds up learning convergence in over-constrained systems by vetoing state-action pairs which lead to undesired termination states (UTS) in the relevant state-action subspace. Each agent's local state-action value function learning is an independent process, including the MSAV policies. Coordination of locally optimal policies to obtain the global optimal joint policy is achieved by a greedy selection procedure using message passing. We show that D-RR-QL improves over state-of-the-art approaches, such as Distributed Q-Learning, Team Q-Learning and Coordinated Reinforcement Learning in a paradigmatic Linked Multi-Component Robotic System (L-MCRS) control problem: the hose transportation task. L-MCRS are over-constrained systems with many UTS induced by the interaction of the passive linking element and the active mobile robots.
NASA Astrophysics Data System (ADS)
Tanimoto, Jun
2013-07-01
Unlike other natural network systems, assortativity can be observed in most human social networks, although it has been reported that a social dilemma situation represented by the prisoner’s dilemma favors dissortativity to enhance cooperation. We established a new coevolutionary model for both agents’ strategy and network topology, where teaching and learning agents coexist. Remarkably, this model enables agents’ enhancing cooperation more than a learners-only model on a time-frozen scale-free network and produces an underlying assortative network with a fair degree of power-law distribution. The model may imply how and why assortative networks are adaptive in human society.
NASA Astrophysics Data System (ADS)
Riegels, N.; Siegfried, T.; Pereira Cardenal, S. J.; Jensen, R. A.; Bauer-Gottwein, P.
2008-12-01
In most economics--driven approaches to optimizing water use at the river basin scale, the system is modelled deterministically with the goal of maximizing overall benefits. However, actual operation and allocation decisions must be made under hydrologic and economic uncertainty. In addition, river basins often cross political boundaries, and different states may not be motivated to cooperate so as to maximize basin- scale benefits. Even within states, competing agents such as irrigation districts, municipal water agencies, and large industrial users may not have incentives to cooperate to realize efficiency gains identified in basin- level studies. More traditional simulation--optimization approaches assume pre-commitment by individual agents and stakeholders and unconditional compliance on each side. While this can help determine attainable gains and tradeoffs from efficient management, such hardwired policies do not account for dynamic feedback between agents themselves or between agents and their environments (e.g. due to climate change etc.). In reality however, we are dealing with an out-of-equilibrium multi-agent system, where there is neither global knowledge nor global control, but rather continuous strategic interaction between decision making agents. Based on the theory of stochastic games, we present a computational framework that allows for studying the dynamic feedback between decision--making agents themselves and an inherently uncertain environment in a spatially and temporally distributed manner. Agents with decision-making control over water allocation such as countries, irrigation districts, and municipalities are represented by reinforcement learning agents and coupled to a detailed hydrologic--economic model. This approach emphasizes learning by agents from their continuous interaction with other agents and the environment. It provides a convenient framework for the solution of the problem of dynamic decision-making in a mixed cooperative / non-cooperative environment with which different institutional setups and incentive systems can be studied so to identify reasonable ways to reach desirable, Pareto--optimal allocation outcomes. Preliminary results from an application to the Syr Darya river basin in Central Asia will be presented and discussed. The Syr Darya River is a classic example of a transboundary river basin in which basin-wide efficiency gains identified in optimization studies have not been sufficient to induce cooperative management of the river by the riparian states.
A Multi-Agent System Approach for Distance Learning Architecture
ERIC Educational Resources Information Center
Turgay, Safiye
2005-01-01
The goal of this study is to suggest the agent systems by intelligence and adaptability properties in distance learning environment. The suggested system has flexible, agile, intelligence and cooperation features. System components are teachers, students (learners), and resources. Inter component relations are modeled and reviewed by using the…
Adult Learning Preferences: A Profile of Extension Educators.
ERIC Educational Resources Information Center
Rollins, Timothy J.; Yoder, Edgar P.
1993-01-01
Cooperative extension agents in four areas (agriculture, 4-H/youth, family living, county directors) completed Kolb's Learning Style Inventory (n=211) to identify learning style preferences to develop the best ways to present state-level inservice education. (SK)
A Multi-Agent Question-Answering System for E-Learning and Collaborative Learning Environment
ERIC Educational Resources Information Center
Alinaghi, Tannaz; Bahreininejad, Ardeshir
2011-01-01
The increasing advances of new Internet technologies in all application domains have changed life styles and interactions. E-learning and collaborative learning environment systems are originated through such changes and aim at providing facilities for people in different times and geographical locations to cooperate, collaborate, learn and work…
NASA Astrophysics Data System (ADS)
Madani, Kaveh; Hooshyar, Milad
2014-11-01
Reservoir systems with multiple operators can benefit from coordination of operation policies. To maximize the total benefit of these systems the literature has normally used the social planner's approach. Based on this approach operation decisions are optimized using a multi-objective optimization model with a compound system's objective. While the utility of the system can be increased this way, fair allocation of benefits among the operators remains challenging for the social planner who has to assign controversial weights to the system's beneficiaries and their objectives. Cooperative game theory provides an alternative framework for fair and efficient allocation of the incremental benefits of cooperation. To determine the fair and efficient utility shares of the beneficiaries, cooperative game theory solution methods consider the gains of each party in the status quo (non-cooperation) as well as what can be gained through the grand coalition (social planner's solution or full cooperation) and partial coalitions. Nevertheless, estimation of the benefits of different coalitions can be challenging in complex multi-beneficiary systems. Reinforcement learning can be used to address this challenge and determine the gains of the beneficiaries for different levels of cooperation, i.e., non-cooperation, partial cooperation, and full cooperation, providing the essential input for allocation based on cooperative game theory. This paper develops a game theory-reinforcement learning (GT-RL) method for determining the optimal operation policies in multi-operator multi-reservoir systems with respect to fairness and efficiency criteria. As the first step to underline the utility of the GT-RL method in solving complex multi-agent multi-reservoir problems without a need for developing compound objectives and weight assignment, the proposed method is applied to a hypothetical three-agent three-reservoir system.
Learning dynamics in social dilemmas
Macy, Michael W.; Flache, Andreas
2002-01-01
The Nash equilibrium, the main solution concept in analytical game theory, cannot make precise predictions about the outcome of repeated mixed-motive games. Nor can it tell us much about the dynamics by which a population of players moves from one equilibrium to another. These limitations, along with concerns about the cognitive demands of forward-looking rationality, have motivated efforts to explore backward-looking alternatives to analytical game theory. Most of the effort has been invested in evolutionary models of population dynamics. We shift attention to a learning-theoretic alternative. Computational experiments with adaptive agents identify a fundamental solution concept for social dilemmas–−stochastic collusion–−based on a random walk from a self-limiting noncooperative equilibrium into a self-reinforcing cooperative equilibrium. However, we show that this solution is viable only within a narrow range of aspiration levels. Below the lower threshold, agents are pulled into a deficient equilibrium that is a stronger attractor than mutual cooperation. Above the upper threshold, agents are dissatisfied with mutual cooperation. Aspirations that adapt with experience (producing habituation to stimuli) do not gravitate into the window of viability; rather, they are the worst of both worlds. Habituation destabilizes cooperation and stabilizes defection. Results from the two-person problem suggest that applications to multiplex and embedded relationships will yield unexpected insights into the global dynamics of cooperation in social dilemmas. PMID:12011402
Chater, Nick; Vlaev, Ivo; Grinberg, Maurice
2008-08-01
Theories of choice in economics typically assume that interacting agents act individualistically and maximize their own utility. Specifically, game theory proposes that rational players should defect in one-shot prisoners' dilemmas (PD). Defection also appears to be the inevitable outcome for agents who learn by reinforcement of past choices, because whatever the other player does, defection leads to greater reinforcement on each trial. In a computer simulation and 4 experiments, the authors show that, apparently paradoxically, when players' choices are correlated by an exogenous factor (here, the cooperativeness of the specific PD chosen), people obtain greater average reinforcement for cooperating, which can sustain cooperation. This effect arises from a well-known statistical paradox, Simpson's paradox. The authors speculate that this effect may be relevant to aspects of real-world human cooperative behavior.
Coupled replicator equations for the dynamics of learning in multiagent systems
NASA Astrophysics Data System (ADS)
Sato, Yuzuru; Crutchfield, James P.
2003-01-01
Starting with a group of reinforcement-learning agents we derive coupled replicator equations that describe the dynamics of collective learning in multiagent systems. We show that, although agents model their environment in a self-interested way without sharing knowledge, a game dynamics emerges naturally through environment-mediated interactions. An application to rock-scissors-paper game interactions shows that the collective learning dynamics exhibits a diversity of competitive and cooperative behaviors. These include quasiperiodicity, stable limit cycles, intermittency, and deterministic chaos—behaviors that should be expected in heterogeneous multiagent systems described by the general replicator equations we derive.
Multi-agents and learning: Implications for Webusage mining.
Lotfy, Hewayda M S; Khamis, Soheir M S; Aboghazalah, Maie M
2016-03-01
Characterization of user activities is an important issue in the design and maintenance of websites. Server weblog files have abundant information about the user's current interests. This information can be mined and analyzed therefore the administrators may be able to guide the users in their browsing activity so they may obtain relevant information in a shorter span of time to obtain user satisfaction. Web-based technology facilitates the creation of personally meaningful and socially useful knowledge through supportive interactions, communication and collaboration among educators, learners and information. This paper suggests a new methodology based on learning techniques for a Web-based Multiagent-based application to discover the hidden patterns in the user's visited links. It presents a new approach that involves unsupervised, reinforcement learning, and cooperation between agents. It is utilized to discover patterns that represent the user's profiles in a sample website into specific categories of materials using significance percentages. These profiles are used to make recommendations of interesting links and categories to the user. The experimental results of the approach showed successful user pattern recognition, and cooperative learning among agents to obtain user profiles. It indicates that combining different learning algorithms is capable of improving user satisfaction indicated by the percentage of precision, recall, the progressive category weight and F 1-measure.
Multi-agents and learning: Implications for Webusage mining
Lotfy, Hewayda M.S.; Khamis, Soheir M.S.; Aboghazalah, Maie M.
2015-01-01
Characterization of user activities is an important issue in the design and maintenance of websites. Server weblog files have abundant information about the user’s current interests. This information can be mined and analyzed therefore the administrators may be able to guide the users in their browsing activity so they may obtain relevant information in a shorter span of time to obtain user satisfaction. Web-based technology facilitates the creation of personally meaningful and socially useful knowledge through supportive interactions, communication and collaboration among educators, learners and information. This paper suggests a new methodology based on learning techniques for a Web-based Multiagent-based application to discover the hidden patterns in the user’s visited links. It presents a new approach that involves unsupervised, reinforcement learning, and cooperation between agents. It is utilized to discover patterns that represent the user’s profiles in a sample website into specific categories of materials using significance percentages. These profiles are used to make recommendations of interesting links and categories to the user. The experimental results of the approach showed successful user pattern recognition, and cooperative learning among agents to obtain user profiles. It indicates that combining different learning algorithms is capable of improving user satisfaction indicated by the percentage of precision, recall, the progressive category weight and F1-measure. PMID:26966569
Spiliopoulos, Leonidas
2015-01-01
The question of whether, and if so how, learning can be transfered from previously experienced games to novel games has recently attracted the attention of the experimental game theory literature. Existing research presumes that learning operates over actions, beliefs or decision rules. This study instead uses a connectionist approach that learns a direct mapping from game payoffs to a probability distribution over own actions. Learning is operationalized as a backpropagation rule that adjusts the weights of feedforward neural networks in the direction of increasing the probability of an agent playing a myopic best response to the last game played. One advantage of this approach is that it expands the scope of the model to any possible n × n normal-form game allowing for a comprehensive model of transfer of learning. Agents are exposed to games drawn from one of seven classes of games with significantly different strategic characteristics and then forced to play games from previously unseen classes. I find significant transfer of learning, i.e., behavior that is path-dependent, or conditional on the previously seen games. Cooperation is more pronounced in new games when agents are previously exposed to games where the incentive to cooperate is stronger than the incentive to compete, i.e., when individual incentives are aligned. Prior exposure to Prisoner's dilemma, zero-sum and discoordination games led to a significant decrease in realized payoffs for all the game classes under investigation. A distinction is made between superficial and deep transfer of learning both—the former is driven by superficial payoff similarities between games, the latter by differences in the incentive structures or strategic implications of the games. I examine whether agents learn to play the Nash equilibria of games, how they select amongst multiple equilibria, and whether they transfer Nash equilibrium behavior to unseen games. Sufficient exposure to a strategically heterogeneous set of games is found to be a necessary condition for deep learning (and transfer) across game classes. Paradoxically, superficial transfer of learning is shown to lead to better outcomes than deep transfer for a wide range of game classes. The simulation results corroborate important experimental findings with human subjects, and make several novel predictions that can be tested experimentally. PMID:25873855
Game-theoretic cooperativity in networks of self-interested units
NASA Astrophysics Data System (ADS)
Barto, Andrew G.
1986-08-01
The behavior of theoretical neural networks is often described in terms of competition and cooperation. I present an approach to network learning that is related to game and team problems in which competition and cooperation have more technical meanings. I briefly describe the application of stochastic learning automata to game and team problems and then present an adaptive element that is a synthesis of aspects of stochastic learning automata and typical neuron-like adaptive elements. These elements act as self-interested agents that work toward improving their performance with respect to their individual preference orderings. Networks of these elements can solve a variety of team decision problems, some of which take the form of layered networks in which the ``hidden units'' become appropriate functional components as they attempt to improve their own payoffs.
Learning comunication strategies for distributed artificial intelligence
NASA Astrophysics Data System (ADS)
Kinney, Michael; Tsatsoulis, Costas
1992-08-01
We present a methodology that allows collections of intelligent system to automatically learn communication strategies, so that they can exchange information and coordinate their problem solving activity. In our methodology communication between agents is determined by the agents themselves, which consider the progress of their individual problem solving activities compared to the communication needs of their surrounding agents. Through learning, communication lines between agents might be established or disconnected, communication frequencies modified, and the system can also react to dynamic changes in the environment that might force agents to cease to exist or to be added. We have established dynamic, quantitative measures of the usefulness of a fact, the cost of a fact, the work load of an agent, and the selfishness of an agent (a measure indicating an agent's preference between transmitting information versus performing individual problem solving), and use these values to adapt the communication between intelligent agents. In this paper we present the theoretical foundations of our work together with experimental results and performance statistics of networks of agents involved in cooperative problem solving activities.
FMRQ-A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks.
Zhang, Zhen; Zhao, Dongbin; Gao, Junwei; Wang, Dongqing; Dai, Yujie
2017-06-01
In this paper, we propose a multiagent reinforcement learning algorithm dealing with fully cooperative tasks. The algorithm is called frequency of the maximum reward Q-learning (FMRQ). FMRQ aims to achieve one of the optimal Nash equilibria so as to optimize the performance index in multiagent systems. The frequency of obtaining the highest global immediate reward instead of immediate reward is used as the reinforcement signal. With FMRQ each agent does not need the observation of the other agents' actions and only shares its state and reward at each step. We validate FMRQ through case studies of repeated games: four cases of two-player two-action and one case of three-player two-action. It is demonstrated that FMRQ can converge to one of the optimal Nash equilibria in these cases. Moreover, comparison experiments on tasks with multiple states and finite steps are conducted. One is box-pushing and the other one is distributed sensor network problem. Experimental results show that the proposed algorithm outperforms others with higher performance.
ERIC Educational Resources Information Center
Chater, Nick; Vlaev, Ivo; Grinberg, Maurice
2008-01-01
Theories of choice in economics typically assume that interacting agents act individualistically and maximize their own utility. Specifically, game theory proposes that rational players should defect in one-shot prisoners' dilemmas (PD). Defection also appears to be the inevitable outcome for agents who learn by reinforcement of past choices,…
Learning by statistical cooperation of self-interested neuron-like computing elements.
Barto, A G
1985-01-01
Since the usual approaches to cooperative computation in networks of neuron-like computating elements do not assume that network components have any "preferences", they do not make substantive contact with game theoretic concepts, despite their use of some of the same terminology. In the approach presented here, however, each network component, or adaptive element, is a self-interested agent that prefers some inputs over others and "works" toward obtaining the most highly preferred inputs. Here we describe an adaptive element that is robust enough to learn to cooperate with other elements like itself in order to further its self-interests. It is argued that some of the longstanding problems concerning adaptation and learning by networks might be solvable by this form of cooperativity, and computer simulation experiments are described that show how networks of self-interested components that are sufficiently robust can solve rather difficult learning problems. We then place the approach in its proper historical and theoretical perspective through comparison with a number of related algorithms. A secondary aim of this article is to suggest that beyond what is explicitly illustrated here, there is a wealth of ideas from game theory and allied disciplines such as mathematical economics that can be of use in thinking about cooperative computation in both nervous systems and man-made systems.
Advanced Agent Methods in Adversarial Environment
2005-11-30
2 Contents Contents 1 Introduction – Technical Statement of Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.1...37 5.4.1 Deriving Trust Observations from Coalition Cooperation Results . . . . . . . . . . . 37 Contents 3 5.4.2 Iterative Learning of...85 4 Contents A.3.5 Class Finder
NASA Astrophysics Data System (ADS)
Wang, Jing; Yang, Tianyu; Staskevich, Gennady; Abbe, Brian
2017-04-01
This paper studies the cooperative control problem for a class of multiagent dynamical systems with partially unknown nonlinear system dynamics. In particular, the control objective is to solve the state consensus problem for multiagent systems based on the minimisation of certain cost functions for individual agents. Under the assumption that there exist admissible cooperative controls for such class of multiagent systems, the formulated problem is solved through finding the optimal cooperative control using the approximate dynamic programming and reinforcement learning approach. With the aid of neural network parameterisation and online adaptive learning, our method renders a practically implementable approximately adaptive neural cooperative control for multiagent systems. Specifically, based on the Bellman's principle of optimality, the Hamilton-Jacobi-Bellman (HJB) equation for multiagent systems is first derived. We then propose an approximately adaptive policy iteration algorithm for multiagent cooperative control based on neural network approximation of the value functions. The convergence of the proposed algorithm is rigorously proved using the contraction mapping method. The simulation results are included to validate the effectiveness of the proposed algorithm.
Cooperation in Human-Agent Systems to Support Resilience: A Microworld Experiment.
Chiou, Erin K; Lee, John D
2016-09-01
This study uses a dyadic approach to understand human-agent cooperation and system resilience. Increasingly capable technology fundamentally changes human-machine relationships. Rather than reliance on or compliance with more or less reliable automation, we investigate interaction strategies with more or less cooperative agents. A joint-task microworld scenario was developed to explore the effects of agent cooperation on participant cooperation and system resilience. To assess the effects of agent cooperation on participant cooperation, 36 people coordinated with a more or less cooperative agent by requesting resources and responding to requests for resources in a dynamic task environment. Another 36 people were recruited to assess effects following a perturbation in their own hospital. Experiment 1 shows people reciprocated the cooperative behaviors of the agents; a low-cooperation agent led to less effective interactions and less resource sharing, whereas a high-cooperation agent led to more effective interactions and greater resource sharing. Experiment 2 shows that an initial fast-tempo perturbation undermined proactive cooperation-people tended to not request resources. However, the initial fast tempo had little effect on reactive cooperation-people tended to accept resource requests according to cooperation level. This study complements the supervisory control perspective of human-automation interaction by considering interdependence and cooperation rather than the more common focus on reliability and reliance. The cooperativeness of automated agents can influence the cooperativeness of human agents. Design and evaluation for resilience in teams involving increasingly autonomous agents should consider the cooperative behaviors of these agents. © 2016, Human Factors and Ergonomics Society.
Pang, Shaoning; Ban, Tao; Kadobayashi, Youki; Kasabov, Nikola K
2012-04-01
To adapt linear discriminant analysis (LDA) to real-world applications, there is a pressing need to equip it with an incremental learning ability to integrate knowledge presented by one-pass data streams, a functionality to join multiple LDA models to make the knowledge sharing between independent learning agents more efficient, and a forgetting functionality to avoid reconstruction of the overall discriminant eigenspace caused by some irregular changes. To this end, we introduce two adaptive LDA learning methods: LDA merging and LDA splitting. These provide the benefits of ability of online learning with one-pass data streams, retained class separability identical to the batch learning method, high efficiency for knowledge sharing due to condensed knowledge representation by the eigenspace model, and more preferable time and storage costs than traditional approaches under common application conditions. These properties are validated by experiments on a benchmark face image data set. By a case study on the application of the proposed method to multiagent cooperative learning and system alternation of a face recognition system, we further clarified the adaptability of the proposed methods to complex dynamic learning tasks.
Trust-based learning and behaviors for convoy obstacle avoidance
NASA Astrophysics Data System (ADS)
Mikulski, Dariusz G.; Karlsen, Robert E.
2015-05-01
In many multi-agent systems, robots within the same team are regarded as being fully trustworthy for cooperative tasks. However, the assumption of trustworthiness is not always justified, which may not only increase the risk of mission failure, but also endanger the lives of friendly forces. In prior work, we addressed this issue by using RoboTrust to dynamically adjust to observed behaviors or recommendations in order to mitigate the risks of illegitimate behaviors. However, in the simulations in prior work, all members of the convoy had knowledge of the convoy goal. In this paper, only the lead vehicle has knowledge of the convoy goals and the follow vehicles must infer trustworthiness strictly from lead vehicle performance. In addition, RoboTrust could only respond to observed performance and did not dynamically learn agent behavior. In this paper, we incorporate an adaptive agent-specific bias into the RoboTrust algorithm that modifies its trust dynamics. This bias is learned incrementally from agent interactions, allowing good agents to benefit from faster trust growth and slower trust decay and bad agents to be penalized with slower trust growth and faster trust decay. We then integrate this new trust model into a trust-based controller for decentralized autonomous convoy operations. We evaluate its performance in an obstacle avoidance mission, where the convoy attempts to learn the best speed and following distances combinations for an acceptable obstacle avoidance probability.
Celestial data routing network
NASA Astrophysics Data System (ADS)
Bordetsky, Alex
2000-11-01
Imagine that information processing human-machine network is threatened in a particular part of the world. Suppose that an anticipated threat of physical attacks could lead to disruption of telecommunications network management infrastructure and access capabilities for small geographically distributed groups engaged in collaborative operations. Suppose that small group of astronauts are exploring the solar planet and need to quickly configure orbital information network to support their collaborative work and local communications. The critical need in both scenarios would be a set of low-cost means of small team celestial networking. To the geographically distributed mobile collaborating groups such means would allow to maintain collaborative multipoint work, set up orbital local area network, and provide orbital intranet communications. This would be accomplished by dynamically assembling the network enabling infrastructure of the small satellite based router, satellite based Codec, and set of satellite based intelligent management agents. Cooperating single function pico satellites, acting as agents and personal switching devices together would represent self-organizing intelligent orbital network of cooperating mobile management nodes. Cooperative behavior of the pico satellite based agents would be achieved by comprising a small orbital artificial neural network capable of learning and restructing the networking resources in response to the anticipated threat.
Environmental dilemma game to establish a sustainable society dealing with an emergent value system
NASA Astrophysics Data System (ADS)
Tanimoto, Jun
2005-01-01
To induce whether we can obtain a sustainable society by shifting our paradigm from the materialistic to the eco-conscientious, we established a multi-agent simulation model. The model primarily featured a dilemma structure encouraged by a conflict between each agent's private desire to earn more and the need for environmental conservation. Another important feature is that the model has two evolutionary layers. The subordinate layer is a learning system comprised of a finite state machine (FSM) and a genetic algorithm (GA) primarily, which is carried with each individual agent to determine his/her next behavior and how much he/she must earn to maximize an individual fitness function. The supra layer is the so-called value system, the gene pool of which is shared within the society. The value system stipulates an agent's fitness function, which in turn affects the agent's behavior. The value system of each agent was set up to be entirely ego-oriented at the beginning of the simulation episode. A numerical experiment based on the model reveals a scene in which, under a certain condition related to assumptions of the value system, a group of agents undergoes a paradigm shift from the ego-oriented materialism to the eco-conscious sustainable society. The key condition is a latent existence of several values that ultimately lead to sustainability, even though they do not work at all at the beginning of the episode. In terms of the evolutionary game theory, this implies that changing game structure on the way of a simulation episode by transforming the fitness function seems to be much powerful measures for the emergent collective cooperation among the agents than ordinal options to support cooperation. In addition, we made a detailed analysis on how assumed agents have obtained a sustainable value system. Each agent has an individual decision-making process based on the input with a learning mechanism. We focus here on two types of learning system, the finite state machine (FSM) plus genetic algorithm (GA), and profit shearing (PS). Observation of the generative trails of FSM and the value table of PS lead us to a profound understanding of what kind of inception triggers the emergence of a sustainable society.
The maintenance of cooperation in multiplex networks with limited and partible resources of agents
NASA Astrophysics Data System (ADS)
Li, Zhaofeng; Shen, Bi; Jiang, Yichuan
2017-02-01
In this paper, we try to explain the maintenance of cooperation in multiplex networks with limited and partible resources of agents: defection brings larger short-term benefit and cooperative agents may become defective because of the unaffordable costs of cooperative behaviors that are performed in multiple layers simultaneously. Recent studies have identified the positive effects of multiple layers on evolutionary cooperation but generally overlook the maximum costs of agents in these synchronous games. By utilizing network effects and designing evolutionary mechanisms, cooperative behaviors become prevailing in public goods games, and agents can allocate personal resources across multiple layers. First, we generalize degree diversity into multiplex networks to improve the prospect for cooperation. Second, to prevent agents allocating all the resources into one layer, a greedy-first mechanism is proposed, in which agents prefer to add additional investments in the higher-payoff layer. It is found that greedy-first agents can perform cooperative behaviors in multiplex networks when one layer is scale-free network and degree differences between conjoint nodes increase. Our work may help to explain the emergence of cooperation in the absence of individual reputation and punishment mechanisms.
NASA Astrophysics Data System (ADS)
Cui, Bing; Zhao, Chunhui; Ma, Tiedong; Feng, Chi
2017-02-01
In this paper, the cooperative adaptive consensus tracking problem for heterogeneous nonlinear multi-agent systems on directed graph is addressed. Each follower is modelled as a general nonlinear system with the unknown and nonidentical nonlinear dynamics, disturbances and actuator failures. Cooperative fault tolerant neural network tracking controllers with online adaptive learning features are proposed to guarantee that all agents synchronise to the trajectory of one leader with bounded adjustable synchronisation errors. With the help of linear quadratic regulator-based optimal design, a graph-dependent Lyapunov proof provides error bounds that depend on the graph topology, one virtual matrix and some design parameters. Of particular interest is that if the control gain is selected appropriately, the proposed control scheme can be implemented in a unified framework no matter whether there are faults or not. Furthermore, the fault detection and isolation are not needed to implement. Finally, a simulation is given to verify the effectiveness of the proposed method.
Enhanced risk management by an emerging multi-agent architecture
NASA Astrophysics Data System (ADS)
Lin, Sin-Jin; Hsu, Ming-Fu
2014-07-01
Classification in imbalanced datasets has attracted much attention from researchers in the field of machine learning. Most existing techniques tend not to perform well on minority class instances when the dataset is highly skewed because they focus on minimising the forecasting error without considering the relative distribution of each class. This investigation proposes an emerging multi-agent architecture, grounded on cooperative learning, to solve the class-imbalanced classification problem. Additionally, this study deals further with the obscure nature of the multi-agent architecture and expresses comprehensive rules for auditors. The results from this study indicate that the presented model performs satisfactorily in risk management and is able to tackle a highly class-imbalanced dataset comparatively well. Furthermore, the knowledge visualised process, supported by real examples, can assist both internal and external auditors who must allocate limited detecting resources; they can take the rules as roadmaps to modify the auditing programme.
Access Control for Cooperation Systems Based on Group Situation
NASA Astrophysics Data System (ADS)
Kim, Minsoo; Joshi, James B. D.; Kim, Minkoo
Cooperation systems characterize many emerging environments such as ubiquitous and pervasive systems. Agent based cooperation systems have been proposed in the literature to address challenges of such emerging application environments. A key aspect of such agent based cooperation system is the group situation that changes dynamically and governs the requirements of the cooperation. While individual agent context is important, the overall cooperation behavior is more driven by the group context because of relationships and interactions between agents. Dynamic access control based on group situation is a crucial challenge in such cooperation systems. In this paper we propose a dynamic role based access control model for cooperation systems based on group situation. The model emphasizes capability based agent to role mapping and group situation based permission assignment to allow capturing dynamic access policies that evolve continuously.
A Post-Convention Primer for Programming Boards: Organization, Promptness Key to Follow-Up.
ERIC Educational Resources Information Center
Vaughan, Edee
1998-01-01
Campus activities programmers are offered advice on making the most of what they learn at a convention, including some hints for organization before the convention, suggestions for dealing with agents and other schools and for taking notes, and ideas for follow-up. Special attention is given to cooperative buying agreements schools may make with…
Cooperation in N-person evolutionary snowdrift game in scale-free Barabási Albert networks
NASA Astrophysics Data System (ADS)
Lee, K. H.; Chan, Chun-Him; Hui, P. M.; Zheng, Da-Fang
2008-09-01
Cooperation in the N-person evolutionary snowdrift game (NESG) is studied in scale-free Barabási-Albert (BA) networks. Due to the inhomogeneity of the network, two versions of NESG are proposed and studied. In a model where the size of the competing group varies from agent to agent, the fraction of cooperators drops as a function of the payoff parameter. The networking effect is studied via the fraction of cooperative agents for nodes with a particular degree. For small payoff parameters, it is found that the small- k agents are dominantly cooperators, while large- k agents are of non-cooperators. Studying the spatial correlation reveals that cooperative agents will avoid to be nearest neighbors and the correlation disappears beyond the next-nearest neighbors. The behavior can be explained in terms of the networking effect and payoffs. In another model with a fixed size of competing groups, the fraction of cooperators could show a non-monotonic behavior in the regime of small payoff parameters. This non-trivial behavior is found to be a combined effect of the many agents with the smallest degree in the BA network and the increasing fraction of cooperators among these agents with the payoff for small payoffs.
Learn good from bad: Effects of good and bad neighbors in spatial prisoners' dilemma games
NASA Astrophysics Data System (ADS)
Lu, Peng
2015-10-01
Cooperation is vital for the human society and this study focuses on how to promote cooperation. In our stratification model, there exist three classes: two minorities are elites who are prone to cooperate and scoundrels who are born to defect; one majority is the class of common people. Agents of these three classes interact with each other on a square lattice. Commons' cooperation and its factors are investigated. Contradicting our common sense, it indicates that elites play a negative role while scoundrels play a positive one in promoting commons' cooperation. Besides, effects of good and bad neighbors vary with temptation. When the temptation is smaller the positive effect is able to overcome the negative effect, but the later prevails when the temptation is larger. It concludes that common people are more prone to cooperate in harsh environment with bad neighbors, and a better environment with good neighbors merely leads to laziness and free riding of commons.
Network flow of mobile agents enhances the evolution of cooperation
NASA Astrophysics Data System (ADS)
Ichinose, G.; Satotani, Y.; Nagatani, T.
2018-01-01
We study the effect of contingent movement on the persistence of cooperation on complex networks with empty nodes. Each agent plays the Prisoner's Dilemma game with its neighbors and then it either updates the strategy depending on the payoff difference with neighbors or it moves to another empty node if not satisfied with its own payoff. If no neighboring node is empty, each agent stays at the same site. By extensive evolutionary simulations, we show that the medium density of agents enhances cooperation where the network flow of mobile agents is also medium. Moreover, if the movements of agents are more frequent than the strategy updating, cooperation is further promoted. In scale-free networks, the optimal density for cooperation is lower than other networks because agents get stuck at hubs. Our study suggests that keeping a smooth network flow is significant for the persistence of cooperation in ever-changing societies.
Multi-agent cooperation rescue algorithm based on influence degree and state prediction
NASA Astrophysics Data System (ADS)
Zheng, Yanbin; Ma, Guangfu; Wang, Linlin; Xi, Pengxue
2018-04-01
Aiming at the multi-agent cooperative rescue in disaster, a multi-agent cooperative rescue algorithm based on impact degree and state prediction is proposed. Firstly, based on the influence of the information in the scene on the collaborative task, the influence degree function is used to filter the information. Secondly, using the selected information to predict the state of the system and Agent behavior. Finally, according to the result of the forecast, the cooperative behavior of Agent is guided and improved the efficiency of individual collaboration. The simulation results show that this algorithm can effectively solve the cooperative rescue problem of multi-agent and ensure the efficient completion of the task.
Development of an evolutionary simulator and an overall control system for intelligent wheelchair
NASA Astrophysics Data System (ADS)
Imai, Makoto; Kawato, Koji; Hamagami, Tomoki; Hirata, Hironori
The goal of this research is to develop an intelligent wheelchair (IWC) system which aids an indoor safe mobility for elderly and disabled people with a new conceptual architecture which realizes autonomy, cooperativeness, and a collaboration behavior. In order to develop the IWC system in real environment, we need design-tools and flexible architecture. In particular, as more significant ones, this paper describes two key techniques which are an evolutionary simulation and an overall control mechanism. The evolutionary simulation technique corrects the error between the virtual environment in a simulator and real one in during the learning of an IWC agent, and coevolves with the agent. The overall control mechanism is implemented with subsumption architecture which is employed in an autonomous robot controller. By using these techniques in both simulations and experiments, we confirm that our IWC system acquires autonomy, cooperativeness, and a collaboration behavior efficiently.
NASA Astrophysics Data System (ADS)
Sonubi, A.; Arcagni, A.; Stefani, S.; Ausloos, M.
2016-08-01
A network effect is introduced taking into account competition, cooperation, and mixed-type interaction among agents along a generalized Verhulst-Lotka-Volterra model. It is also argued that the presence of a market capacity undoubtedly enforces a definite limit on the agent's size growth. The state stability of triadic agents, i.e., the most basic network plaquette, is investigated analytically for possible scenarios, through a fixed-point analysis. It is discovered that: (i) market demand is only satisfied for full competition when one agent monopolizes the market; (ii) growth of agent size is encouraged in full cooperation; (iii) collaboration among agents to compete against one single agent may result in the disappearance of this single agent out of the market; and (iv) cooperating with two rivals may become a growth strategy for an intelligent agent.
Sonubi, A; Arcagni, A; Stefani, S; Ausloos, M
2016-08-01
A network effect is introduced taking into account competition, cooperation, and mixed-type interaction among agents along a generalized Verhulst-Lotka-Volterra model. It is also argued that the presence of a market capacity undoubtedly enforces a definite limit on the agent's size growth. The state stability of triadic agents, i.e., the most basic network plaquette, is investigated analytically for possible scenarios, through a fixed-point analysis. It is discovered that: (i) market demand is only satisfied for full competition when one agent monopolizes the market; (ii) growth of agent size is encouraged in full cooperation; (iii) collaboration among agents to compete against one single agent may result in the disappearance of this single agent out of the market; and (iv) cooperating with two rivals may become a growth strategy for an intelligent agent.
NASA Technical Reports Server (NTRS)
Rossomando, Philip J.
1992-01-01
A description is given of UNICORN, a prototype system developed for the purpose of investigating artificial intelligence (AI) concepts supporting spacecraft autonomy. UNICORN employs thematic reasoning, of the type first described by Rodger Schank of Northwestern University, to allow the context-sensitive control of multiple intelligent agents within a blackboard based environment. In its domain of application, UNICORN demonstrates the ability to reason teleologically with focused knowledge. Also presented are some of the lessons learned as a result of this effort. These lessons apply to any effort wherein system level autonomy is the objective.
Moradi, Saleh; Nima, Ali A; Rapp Ricciardi, Max; Archer, Trevor; Garcia, Danilo
2014-01-01
Performance monitoring might have an adverse influence on call center agents' well-being. We investigate how performance, over a 6-month period, is related to agents' perceptions of their learning climate, character strengths, well-being (subjective and psychological), and physical activity. Agents (N = 135) self-reported perception of the learning climate (Learning Climate Questionnaire), character strengths (Values In Action Inventory Short Version), well-being (Positive Affect, Negative Affect Schedule, Satisfaction With Life Scale, Psychological Well-Being Scales Short Version), and how often/intensively they engaged in physical activity. Performance, "time on the phone," was monitored for 6 consecutive months by the same system handling the calls. Performance was positively related to having opportunities to develop, the character strengths clusters of Wisdom and Knowledge (e.g., curiosity for learning, perspective) and Temperance (e.g., having self-control, being prudent, humble, and modest), and exercise frequency. Performance was negatively related to the sense of autonomy and responsibility, contentedness, the character strengths clusters of Humanity and Love (e.g., helping others, cooperation) and Justice (e.g., affiliation, fairness, leadership), positive affect, life satisfaction and exercise Intensity. Call centers may need to create opportunities to develop to increase agents' performance and focus on individual differences in the recruitment and selection of agents to prevent future shortcomings or worker dissatisfaction. Nevertheless, performance measurement in call centers may need to include other aspects that are more attuned with different character strengths. After all, allowing individuals to put their strengths at work should empower the individual and at the end the organization itself. Finally, physical activity enhancement programs might offer considerable positive work outcomes.
Moradi, Saleh; Nima, Ali A.; Rapp Ricciardi, Max; Archer, Trevor; Garcia, Danilo
2014-01-01
Background: Performance monitoring might have an adverse influence on call center agents' well-being. We investigate how performance, over a 6-month period, is related to agents' perceptions of their learning climate, character strengths, well-being (subjective and psychological), and physical activity. Method: Agents (N = 135) self-reported perception of the learning climate (Learning Climate Questionnaire), character strengths (Values In Action Inventory Short Version), well-being (Positive Affect, Negative Affect Schedule, Satisfaction With Life Scale, Psychological Well-Being Scales Short Version), and how often/intensively they engaged in physical activity. Performance, “time on the phone,” was monitored for 6 consecutive months by the same system handling the calls. Results: Performance was positively related to having opportunities to develop, the character strengths clusters of Wisdom and Knowledge (e.g., curiosity for learning, perspective) and Temperance (e.g., having self-control, being prudent, humble, and modest), and exercise frequency. Performance was negatively related to the sense of autonomy and responsibility, contentedness, the character strengths clusters of Humanity and Love (e.g., helping others, cooperation) and Justice (e.g., affiliation, fairness, leadership), positive affect, life satisfaction and exercise Intensity. Conclusion: Call centers may need to create opportunities to develop to increase agents' performance and focus on individual differences in the recruitment and selection of agents to prevent future shortcomings or worker dissatisfaction. Nevertheless, performance measurement in call centers may need to include other aspects that are more attuned with different character strengths. After all, allowing individuals to put their strengths at work should empower the individual and at the end the organization itself. Finally, physical activity enhancement programs might offer considerable positive work outcomes. PMID:25002853
How feeling betrayed affects cooperation.
Ramazi, Pouria; Hessel, Jop; Cao, Ming
2015-01-01
For a population of interacting self-interested agents, we study how the average cooperation level is affected by some individuals' feelings of being betrayed and guilt. We quantify these feelings as adjusted payoffs in asymmetric games, where for different emotions, the payoff matrix takes the structure of that of either a prisoner's dilemma or a snowdrift game. Then we analyze the evolution of cooperation in a well-mixed population of agents, each of whom is associated with such a payoff matrix. At each time-step, an agent is randomly chosen from the population to update her strategy based on the myopic best-response update rule. According to the simulations, decreasing the feeling of being betrayed in a portion of agents does not necessarily increase the level of cooperation in the population. However, this resistance of the population against low-betrayal-level agents is effective only up to some extend that is explicitly determined by the payoff matrices and the number of agents associated with these matrices. Two other models are also considered where the betrayal factor of an agent fluctuates as a function of the number of cooperators and defectors that she encounters. Unstable behaviors are observed for the level of cooperation in these cases; however, we show that one can tune the parameters in the function to make the whole population become cooperative or defective.
NASA Astrophysics Data System (ADS)
Zimmermann, Martín G.; Eguíluz, Víctor M.
2005-11-01
Cooperative behavior among a group of agents is studied assuming adaptive interactions. Each agent plays a Prisoner’s Dilemma game with its local neighbors, collects an aggregate payoff, and imitates the strategy of its best neighbor. Agents may punish or reward their neighbors by removing or sustaining the interactions, according to their satisfaction level and strategy played. An agent may dismiss an interaction, and the corresponding neighbor is replaced by another randomly chosen agent, introducing diversity and evolution to the network structure. We perform an extensive numerical and analytical study, extending results in M. G. Zimmermann, V. M. Eguíluz, and M. San Miguel, Phys. Rev. E 69, 065102(R) (2004). We show that the system typically reaches either a full-defective state or a highly cooperative steady state. The latter equilibrium solution is composed mostly by cooperative agents, with a minor population of defectors that exploit the cooperators. It is shown how the network adaptation dynamics favors the emergence of cooperators with the highest payoff. These “leaders” are shown to sustain the global cooperative steady state. Also we find that the average payoff of defectors is larger than the average payoff of cooperators. Whenever “leaders” are perturbed (e.g., by addition of noise), an unstable situation arises and global cascades with oscillations between the nearly full defection network and the fully cooperative outcome are observed.
Effects of Cooperative E-Learning on Learning Outcomes
ERIC Educational Resources Information Center
Yeh, Shang-Pao; Fu, Hsin-Wei
2014-01-01
This study aims to discuss the effects of E-Learning and cooperative learning on learning outcomes. E-Learning covers the dimensions of Interpersonal communication, abundant resources, Dynamic instruction, and Learning community; and, cooperative learning contains three dimensions of Cooperative motive, Social interaction, and Cognition…
An Empirical Study on the Application of Cooperative Learning to English Listening Classes
ERIC Educational Resources Information Center
Han, Min
2015-01-01
Cooperative learning is a strategic instructional system applied by many educators the world over. Researchers of cooperative learning have carried out the study in this field and proved that cooperative learning can create a more interesting and relaxed learning atmosphere. It is generally acknowledged that cooperative learning can reduce…
Soft cooperation systems and games
NASA Astrophysics Data System (ADS)
Fernández, J. R.; Gallego, I.; Jiménez-Losada, A.; Ordóñez, M.
2018-04-01
A cooperative game for a set of agents establishes a fair allocation of the profit obtained for their cooperation. In order to obtain this allocation, a characteristic function is known. It establishes the profit of each coalition of agents if this coalition decides to act alone. Originally players are considered symmetric and then the allocation only depends on the characteristic function; this paper is about cooperative games with an asymmetric set of agents. We introduced cooperative games with a soft set of agents which explains those parameters determining the asymmetry among them in the cooperation. Now the characteristic function is defined not over the coalitions but over the soft coalitions, namely the profit depends not only on the formed coalition but also on the attributes considered for the players in the coalition. The best known of the allocation rules for cooperative games is the Shapley value. We propose a Shapley kind solution for soft games.
Fischer, Ilan; Frid, Alex; Goerg, Sebastian J; Levin, Simon A; Rubenstein, Daniel I; Selten, Reinhard
2013-06-18
Although cooperation and trust are essential features for the development of prosperous populations, they also put cooperating individuals at risk for exploitation and abuse. Empirical and theoretical evidence suggests that the solution to the problem resides in the practice of mimicry and imitation, the expectation of opponent's mimicry and the reliance on similarity indices. Here we fuse the principles of enacted and expected mimicry and condition their application on two similarity indices to produce a model of mimicry and relative similarity. Testing the model in computer simulations of behavioral niches, populated with agents that enact various strategies and learning algorithms, shows how mimicry and relative similarity outperforms all the opponent strategies it was tested against, pushes noncooperative opponents toward extinction, and promotes the development of cooperative populations. The proposed model sheds light on the evolution of cooperation and provides a blueprint for intentional induction of cooperation within and among populations. It is suggested that reducing conflict intensities among human populations necessitates (i) instigation of social initiatives that increase the perception of similarity among opponents and (ii) efficient lowering of the similarity threshold of the interaction, the minimal level of similarity that makes cooperation advisable.
Influences of Agents with a Self-Reputation Awareness Component in an Evolutionary Spatial IPD Game
Huang, Chung-Yuan; Lee, Chun-Liang
2014-01-01
Iterated prisoner’s dilemma (IPD) researchers have shown that strong positive reputations plus an efficient reputation evaluation system encourages both sides to pursue long-term collaboration and to avoid falling into mutual defection cycles. In agent-based environments with reliable reputation rating systems, agents interested in maximizing their private interests must show concern for other agents as well as their own self-reputations–an important capability that standard IPD game agents lack. Here we present a novel learning agent model possessing self-reputation awareness. Agents in our proposed model are capable of evaluating self-behaviors based on a mix of public and private interest considerations, and of testing various solutions aimed at meeting social standards. Simulation results indicate multiple outcomes from the addition of a small percentage of self-reputation awareness agents: faster cooperation, faster movement toward stability in an agent society, a higher level of public interest in the agent society, the resolution of common conflicts between public and private interests, and a lower potential for rational individual behavior to transform into irrational group behavior. PMID:24945966
Investigation of autistic traits through strategic decision-making in games with adaptive agents.
Craig, Alexis B; Grossman, Emily; Krichmar, Jeffrey L
2017-07-17
Autism Spectrum Disorders are characterized by difficulties in communicating and cooperating with other people. Impairment in Theory of Mind (ToM), the ability to infer what another person is thinking, may contribute to these social deficits. The present study assesses the relationship between autistic traits and decision-making in a socioeconomic game environment that measures ToM and cooperation. We quantified participant strategy during game play with computer agents that simulated aspects of ToM or fixed strategy agents with static behaviors or heuristics. Individuals with higher Autism Quotient (AQ) scores cooperated less than subjects with low AQ scores with the ToM agents. In contrast, subjects with higher AQ scores cooperated more with fixed strategy agents. Additionally, subjects with higher AQ scores spent more time than low AQ subjects signaling cooperative intent in games with fixed strategy agents while spending less time signaling cooperation with adaptive agents, indicating a preference toward systemizing behaviors in the face of uncertainty. We conclude that individuals with high levels of autistic traits are less likely to utilize ToM as a cognitive strategy, even when it is beneficial, to achieve a desired outcome.
Fernandez-Rio, Javier; Cecchini, Jose A.; Méndez-Gimenez, Antonio; Mendez-Alonso, David; Prieto, Jose A.
2017-01-01
Learning to learn and learning to cooperate are two important goals for individuals. Moreover, self regulation has been identified as fundamental to prevent school failure. The goal of the present study was to assess the interactions between self-regulated learning, cooperative learning and academic self-efficacy in secondary education students experiencing cooperative learning as the main pedagogical approach for at least one school year. 2.513 secondary education students (1.308 males, 1.205 females), 12–17 years old (M = 13.85, SD = 1.29), enrolled in 17 different schools belonging to the National Network of Schools on Cooperative Learning in Spain agreed to participate. They all had experienced this pedagogical approach a minimum of one school year. Participants were asked to complete the cooperative learning questionnaire, the strategies to control the study questionnaire and the global academic self-efficacy questionnaire. Participants were grouped based on their perceptions on cooperative learning and self-regulated learning in their classes. A combination of hierarchical and κ-means cluster analyses was used. Results revealed a four-cluster solution: cluster one included students with low levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster two included students with high levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster three included students with high levels of cooperative learning, low levels of self-regulated learning and intermediate-low levels of academic self-efficacy, and, finally, cluster four included students with high levels of self-regulated learning, low levels of cooperative learning, and intermediate-high levels of academic self-efficacy. Self-regulated learning was found more influential than cooperative learning on students’ academic self-efficacy. In cooperative learning contexts students interact through different types of regulations: self, co, and shared. Educators should be aware of these interactions, symmetrical or asymmetrical, because they determine the quality and quantity of the students’ participation and achievements, and they are key elements to prevent school failure. PMID:28154544
Fernandez-Rio, Javier; Cecchini, Jose A; Méndez-Gimenez, Antonio; Mendez-Alonso, David; Prieto, Jose A
2017-01-01
Learning to learn and learning to cooperate are two important goals for individuals. Moreover, self regulation has been identified as fundamental to prevent school failure. The goal of the present study was to assess the interactions between self-regulated learning, cooperative learning and academic self-efficacy in secondary education students experiencing cooperative learning as the main pedagogical approach for at least one school year. 2.513 secondary education students (1.308 males, 1.205 females), 12-17 years old ( M = 13.85, SD = 1.29), enrolled in 17 different schools belonging to the National Network of Schools on Cooperative Learning in Spain agreed to participate. They all had experienced this pedagogical approach a minimum of one school year. Participants were asked to complete the cooperative learning questionnaire, the strategies to control the study questionnaire and the global academic self-efficacy questionnaire. Participants were grouped based on their perceptions on cooperative learning and self-regulated learning in their classes. A combination of hierarchical and κ -means cluster analyses was used. Results revealed a four-cluster solution: cluster one included students with low levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster two included students with high levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster three included students with high levels of cooperative learning, low levels of self-regulated learning and intermediate-low levels of academic self-efficacy, and, finally, cluster four included students with high levels of self-regulated learning, low levels of cooperative learning, and intermediate-high levels of academic self-efficacy. Self-regulated learning was found more influential than cooperative learning on students' academic self-efficacy. In cooperative learning contexts students interact through different types of regulations: self, co, and shared. Educators should be aware of these interactions, symmetrical or asymmetrical, because they determine the quality and quantity of the students' participation and achievements, and they are key elements to prevent school failure.
Christopoulos, George I; King-Casas, Brooks
2015-01-01
In social environments, it is crucial that decision-makers take account of the impact of their actions not only for oneself, but also on other social agents. Previous work has identified neural signals in the striatum encoding value-based prediction errors for outcomes to oneself; also, recent work suggests that neural activity in prefrontal cortex may similarly encode value-based prediction errors related to outcomes to others. However, prior work also indicates that social valuations are not isomorphic, with social value orientations of decision-makers ranging on a cooperative to competitive continuum; this variation has not been examined within social learning environments. Here, we combine a computational model of learning with functional neuroimaging to examine how individual differences in orientation impact neural mechanisms underlying 'other-value' learning. Across four experimental conditions, reinforcement learning signals for other-value were identified in medial prefrontal cortex, and were distinct from self-value learning signals identified in striatum. Critically, the magnitude and direction of the other-value learning signal depended strongly on an individual's cooperative or competitive orientation toward others. These data indicate that social decisions are guided by a social orientation-dependent learning system that is computationally similar but anatomically distinct from self-value learning. The sensitivity of the medial prefrontal learning signal to social preferences suggests a mechanism linking such preferences to biases in social actions and highlights the importance of incorporating heterogeneous social predispositions in neurocomputational models of social behavior. Published by Elsevier Inc.
With you or against you: Social orientation dependent learning signals guide actions made for others
Christopoulos, George I.; King-Casas, Brooks
2014-01-01
In social environments, it is crucial that decision-makers take account of the impact of their actions not only for oneself, but also on other social agents. Previous work has identified neural signals in the striatum encoding value-based prediction errors for outcomes to oneself; also, recent work suggests neural activity in prefrontal cortex may similarly encode value-based prediction errors related to outcomes to others. However, prior work also indicates that social valuations are not isomorphic, with social value orientations of decision-makers ranging on a cooperative to competitive continuum; this variation has not been examined within social learning environments. Here, we combine a computational model of learning with functional neuroimaging to examine how individual differences in orientation impact neural mechanisms underlying ‘other-value’ learning. Across four experimental conditions, reinforcement learning signals for other-value were identified in medial prefrontal cortex, and were distinct from self-value learning signals identified in striatum. Critically, the magnitude and direction of the other-value learning signal depended strongly on an individual’s cooperative or competitive orientation towards others. These data indicate that social decisions are guided by a social orientation-dependent learning system that is computationally similar but anatomically distinct from self-value learning. The sensitivity of the medial prefrontal learning signal to social preferences suggests a mechanism linking such preferences to biases in social actions and highlights the importance of incorporating heterogeneous social predispositions in neurocomputational models of social behavior. PMID:25224998
Special Agents Can Promote Cooperation in the Population
Wang, Xin; Han, Jing; Han, Huawei
2011-01-01
Cooperation is ubiquitous in our real life but everyone would like to maximize her own profits. How does cooperation occur in the group of self-interested agents without centralized control? Furthermore, in a hostile scenario, for example, cooperation is unlikely to emerge. Is there any mechanism to promote cooperation if populations are given and play rules are not allowed to change? In this paper, numerical experiments show that complete population interaction is unfriendly to cooperation in the finite but end-unknown Repeated Prisoner's Dilemma (RPD). Then a mechanism called soft control is proposed to promote cooperation. According to the basic idea of soft control, a number of special agents are introduced to intervene in the evolution of cooperation. They comply with play rules in the original group so that they are always treated as normal agents. For our purpose, these special agents have their own strategies and share knowledge. The capability of the mechanism is studied under different settings. We find that soft control can promote cooperation and is robust to noise. Meanwhile simulation results demonstrate the applicability of the mechanism in other scenarios. Besides, the analytical proof also illustrates the effectiveness of soft control and validates simulation results. As a way of intervention in collective behaviors, soft control provides a possible direction for the study of reciprocal behaviors. PMID:22216202
Random diffusion and cooperation in continuous two-dimensional space.
Antonioni, Alberto; Tomassini, Marco; Buesser, Pierre
2014-03-07
This work presents a systematic study of population games of the Prisoner's Dilemma, Hawk-Dove, and Stag Hunt types in two-dimensional Euclidean space under two-person, one-shot game-theoretic interactions, and in the presence of agent random mobility. The goal is to investigate whether cooperation can evolve and be stable when agents can move randomly in continuous space. When the agents all have the same constant velocity cooperation may evolve if the agents update their strategies imitating the most successful neighbor. If a fitness difference proportional is used instead, cooperation does not improve with respect to the static random geometric graph case. When viscosity effects set-in and agent velocity becomes a quickly decreasing function of the number of neighbors they have, one observes the formation of monomorphic stable clusters of cooperators or defectors in the Prisoner's Dilemma. However, cooperation does not spread in the population as in the constant velocity case. Copyright © 2013 Elsevier Ltd. All rights reserved.
How Feeling Betrayed Affects Cooperation
Ramazi, Pouria; Hessel, Jop; Cao, Ming
2015-01-01
For a population of interacting self-interested agents, we study how the average cooperation level is affected by some individuals' feelings of being betrayed and guilt. We quantify these feelings as adjusted payoffs in asymmetric games, where for different emotions, the payoff matrix takes the structure of that of either a prisoner's dilemma or a snowdrift game. Then we analyze the evolution of cooperation in a well-mixed population of agents, each of whom is associated with such a payoff matrix. At each time-step, an agent is randomly chosen from the population to update her strategy based on the myopic best-response update rule. According to the simulations, decreasing the feeling of being betrayed in a portion of agents does not necessarily increase the level of cooperation in the population. However, this resistance of the population against low-betrayal-level agents is effective only up to some extend that is explicitly determined by the payoff matrices and the number of agents associated with these matrices. Two other models are also considered where the betrayal factor of an agent fluctuates as a function of the number of cooperators and defectors that she encounters. Unstable behaviors are observed for the level of cooperation in these cases; however, we show that one can tune the parameters in the function to make the whole population become cooperative or defective. PMID:25922933
Resource heterogeneity can facilitate cooperation.
Kun, Ádám; Dieckmann, Ulf
2013-01-01
Although social structure is known to promote cooperation, by locally exposing selfish agents to their own deeds, studies to date assumed that all agents have access to the same level of resources. This is clearly unrealistic. Here we find that cooperation can be maintained when some agents have access to more resources than others. Cooperation can then emerge even in populations in which the temptation to defect is so strong that players would act fully selfishly if their resources were distributed uniformly. Resource heterogeneity can thus be crucial for the emergence and maintenance of cooperation. We also show that resource heterogeneity can hinder cooperation once the temptation to defect is significantly lowered. In all cases, the level of cooperation can be maximized by managing resource heterogeneity.
Mayan Children's Creation of Learning Ecologies by Initiative and Cooperative Action.
de León, Lourdes
2015-01-01
This chapter examines Mayan children's initiatives in creating their own learning environments in collaboration with others as they engage in culturally relevant endeavors of family and community life. To this end, I carry out a fine-grained ethnographic and linguistic analysis of the interactional emergence of learning ecologies. Erickson defines learning ecology as a socioecological system where participants mutually influence one another through verbal and nonverbal actions, as well as through other forms of semiotic communication (2010, 254). In analyzing learning ecologies, I adopt a "theory of action" approach, taking into account multimodal communication (e.g., talk, gesture, gaze, body positioning), participants' sociospatial organization, embodied action, objects, tools, and other culturally relevant materials brought together to build action (Goodwin, 2000, 2013; Hutchins, 1995). I use microethnographic analysis (Erickson, 1992) to bring to the surface central aspects of children's agentive roles in learning through "cooperative actions" (Goodwin, 2013) and "hands-on" experience (Ingold, 2007) the skills of competent members of their community. I examine three distinct Learning Ecologies created by children's initiatives among the Mayan children that I observed: (i) children requesting guidance to collaborate in a task, (ii) older children working on their own initiative with subsequent monitoring and correction from competent members, and (iii) children with near competence in a task with occasional monitoring and no guidance. I argue that these findings enrich and add power to models of family- and community-based learning such as Learning by Observing and Pitching In (Rogoff, 2014). © 2015 Elsevier Inc. All rights reserved.
NASA Astrophysics Data System (ADS)
Narayan Ray, Dip; Majumder, Somajyoti
2014-07-01
Several attempts have been made by the researchers around the world to develop a number of autonomous exploration techniques for robots. But it has been always an important issue for developing the algorithm for unstructured and unknown environments. Human-like gradual Multi-agent Q-leaming (HuMAQ) is a technique developed for autonomous robotic exploration in unknown (and even unimaginable) environments. It has been successfully implemented in multi-agent single robotic system. HuMAQ uses the concept of Subsumption architecture, a well-known Behaviour-based architecture for prioritizing the agents of the multi-agent system and executes only the most common action out of all the different actions recommended by different agents. Instead of using new state-action table (Q-table) each time, HuMAQ uses the immediate past table for efficient and faster exploration. The proof of learning has also been established both theoretically and practically. HuMAQ has the potential to be used in different and difficult situations as well as applications. The same architecture has been modified to use for multi-robot exploration in an environment. Apart from all other existing agents used in the single robotic system, agents for inter-robot communication and coordination/ co-operation with the other similar robots have been introduced in the present research. Current work uses a series of indigenously developed identical autonomous robotic systems, communicating with each other through ZigBee protocol.
Cooperative Learning: Developments in Research
ERIC Educational Resources Information Center
Gillies, Robyn M.
2014-01-01
Cooperative learning is widely recognized as a pedagogical practice that promotes socialization and learning among students from kindergarten through to college level and across different subject areas. Cooperative learning involves students working together to achieve common goals or complete group tasks. Interest in cooperative learning has…
Promotion of cooperation by payoff-driven migration
NASA Astrophysics Data System (ADS)
Chen, Ya-Shan; Yang, Han-Xin; Guo, Wen-Zhong
2016-05-01
Migration plays an important role in the evolution of cooperation. Previous studies concerning mobile population often assumed that all agents move with the identical velocity. In this paper, we propose a payoff-driven migration in which the velocity of an agent depends on his/her payoff. A parameter α is introduced to adjust the influence of payoff, when α = 0 means that agents all move with the identical velocity while α > 0 means that the lower the payoff is, the faster the moving speed is, and vice versa. For the prisoner's dilemma game, we find that in comparison with the case that agents all move with the same speed, cooperation could be promoted strongly when payoff-dependent velocity is considered. Remarkably, the cooperation level is not a monotonic function of α, and there exists an optimal value of α which can lead to the maximum cooperation level. For the snowdrift game, the cooperation level increases with α.
A Framework for a Computer System to Support Distributed Cooperative Learning
ERIC Educational Resources Information Center
Chiu, Chiung-Hui
2004-01-01
To develop a computer system to support cooperative learning among distributed students; developers should consider the foundations of cooperative learning. This article examines the basic elements that make cooperation work and proposes a framework for such computer supported cooperative learning (CSCL) systems. This framework is constituted of…
Cooperative Learning and Second-Language Teaching: Frequently-Asked Questions.
ERIC Educational Resources Information Center
Jacobs, George M.; Gilbert, Charles C.; Lopriore, Lucilla; Goldstein, Sue; Thiyagarajali, Rosy
1998-01-01
Summarizes a discussion about cooperative learning in second-language teaching by 45 teachers, highlighting six issues: how to cover the syllabus, how long cooperative groups should stay together, how cooperative learning is affected by competition in society, using cooperative learning with low language proficiency students, using cooperative…
Cooperative Learning in Elementary Schools
ERIC Educational Resources Information Center
Slavin, Robert E.
2015-01-01
Cooperative learning refers to instructional methods in which students work in small groups to help each other learn. Although cooperative learning methods are used for different age groups, they are particularly popular in elementary (primary) schools. This article discusses methods and theoretical perspectives on cooperative learning for the…
Co-Operative Learning and Development Networks.
ERIC Educational Resources Information Center
Hodgson, V.; McConnell, D.
1995-01-01
Discusses the theory, nature, and benefits of cooperative learning. Considers the Cooperative Learning and Development Network (CLDN) trial in the JITOL (Just in Time Open Learning) project and examines the relationship between theories about cooperative learning and the reality of a group of professionals participating in a virtual cooperative…
ERIC Educational Resources Information Center
Hwang, Wu-Yuin; Shadiev, Rustam; Wang, Chin-Yu; Huang, Zhi-Hua
2012-01-01
In this study we proposed a web-based programming assisted system for cooperation (WPASC) and we also designed one learning activity for facilitating students' cooperative programming learning. The aim of this study was to investigate cooperative programming learning behavior of students and its relationship with learning performance. Students'…
Cooperative Learning in the Thinking Classroom: Research and Theoretical Perspectives.
ERIC Educational Resources Information Center
Lee, Christine; And Others
As a classroom organization and instructional method, cooperative learning merits serious consideration for use in thinking classrooms. Cooperative learning is more than just groupwork. In traditional group learning, students work in groups with no attention paid to group functioning, whereas in cooperative learning, group work is carefully…
Smart Training, Smart Learning: The Role of Cooperative Learning in Training for Youth Services.
ERIC Educational Resources Information Center
Doll, Carol A.
1997-01-01
Examines cooperative learning in youth services and adult education. Discusses characteristics of cooperative learning techniques; specific cooperative learning techniques (brainstorming, mini-lecture, roundtable technique, send-a-problem problem solving, talking chips technique, and three-step interview); and the role of the trainer. (AEF)
2013-01-01
the more widely recognized competitive (non-cooperative) game theory. Cooperative game theory focuses on what groups of self-interested agents can...provides immediate justification for using non-cooperative game theory as the basis for modeling the purely competitive agents. 2.4. Superadditive...the competitive and altruistic contributions of the subset team. Definition: Given a payoff function ( ) in a subset team game , the total marginal
Han, Jiaojie; Rapoport, Amnon; Zhao, Rui
2017-01-01
The literature on team cooperation has neglected the effects of relative kindness intention on cooperation, which we measure by comparing the kindness intentions of an agent to her group members to the kindness shown by other members to this same agent. We argue that the agent's emotional reaction to material payoff inequity is not constant, but rather affected by her relative kindness intention. Then, we apply the model to team projects with multiple partners and investigate how inequity-aversion and relative kindness intention jointly influence team cooperation. We first consider the case of homogeneous agents, where their marginal productivity levels and technical capacities are the same, and then consider the case of heterogeneous agents, where their marginal productivity levels and technical capacities are not the same. Our results show that inequity-aversion has no effect on effort expenditure in the former case, but does affect it in the latter case. The consideration of relative kindness intention may impact the agents' optimal cooperative effort expenditure when their technical capacities are different. In addition, it is beneficial for team cooperation, and might not only reduce the negative impact but also enhance the positive impact of inequity-aversion on the agents' effort expenditures.
Enlightening Advantages of Cooperative Learning
ERIC Educational Resources Information Center
Faryadi, Qais
2007-01-01
This appraisal discusses the notion that cooperative learning enhances learners' emotional and social performance. It also observes the perception that cooperative learning dramatically improves students' academic accomplishment. This review also examines the definition of cooperative learning and attempts to define it through the lens of renowned…
Cooperative learning: An inside story
NASA Astrophysics Data System (ADS)
Andre, Kathleen M.
1999-09-01
Cooperative learning is one innovative technique used in an engineering physics course at Ohio State. Student opinions on the cooperative element were solicited near the end of the course. These comments provide useful insight into why students believe cooperative learning is helpful in learning physics.
An Odyssey into Cooperative Learning.
ERIC Educational Resources Information Center
Lemke, Thomas L.; Basile, Carole
1997-01-01
An experiment using cooperative learning in a introductory pharmacy course in medicinal chemistry revealed general acceptance of the cooperative learning approach by students, and some perceived advantages for both students and teachers. Although quantitative evidence supporting superiority of the cooperative learning approach was not found,…
Dynamic social networks facilitate cooperation in the N-player Prisoner’s Dilemma
NASA Astrophysics Data System (ADS)
Rezaei, Golriz; Kirley, Michael
2012-12-01
Understanding how cooperative behaviour evolves in network communities, where the individual members interact via social dilemma games, is an on-going challenge. In this paper, we introduce a social network based model to investigate the evolution of cooperation in the N-player Prisoner’s Dilemma game. As such, this work complements previous studies focused on multi-player social dilemma games and endogenous networks. Agents in our model, employ different game-playing strategies reflecting varying cognitive capacities. When an agent plays cooperatively, a social link is formed with each of the other N-1 group members. Subsequent cooperative actions reinforce this link. However, when an agent defects, the links in the social network are broken. Computational simulations across a range of parameter settings are used to examine different scenarios: varying population and group sizes; the group formation process (or partner selection); and agent decision-making strategies under varying dilemma constraints (cost-to-benefit ratios), including a “discriminator” strategy where the action is based on a function of the weighted links within an agent’s social network. The simulation results show that the proposed social network model is able to evolve and maintain cooperation. As expected, as the value of N increases the equilibrium proportion of cooperators in the population decreases. In addition, this outcome is dependent on the dilemma constraint (cost-to-benefit ratio). However, in some circumstances the dynamic social network plays an increasingly important role in promoting and sustaining cooperation, especially when the agents adopt the discriminator strategy. The adjustment of social links results in the formation of communities of “like-minded” agents. Subsequently, this local optimal behaviour promotes the evolution of cooperative behaviour at the system level.
Hybrid evolutionary computing model for mobile agents of wireless Internet multimedia
NASA Astrophysics Data System (ADS)
Hortos, William S.
2001-03-01
The ecosystem is used as an evolutionary paradigm of natural laws for the distributed information retrieval via mobile agents to allow the computational load to be added to server nodes of wireless networks, while reducing the traffic on communication links. Based on the Food Web model, a set of computational rules of natural balance form the outer stage to control the evolution of mobile agents providing multimedia services with a wireless Internet protocol WIP. The evolutionary model shows how mobile agents should behave with the WIP, in particular, how mobile agents can cooperate, compete and learn from each other, based on an underlying competition for radio network resources to establish the wireless connections to support the quality of service QoS of user requests. Mobile agents are also allowed to clone themselves, propagate and communicate with other agents. A two-layer model is proposed for agent evolution: the outer layer is based on the law of natural balancing, the inner layer is based on a discrete version of a Kohonen self-organizing feature map SOFM to distribute network resources to meet QoS requirements. The former is embedded in the higher OSI layers of the WIP, while the latter is used in the resource management procedures of Layer 2 and 3 of the protocol. Algorithms for the distributed computation of mobile agent evolutionary behavior are developed by adding a learning state to the agent evolution state diagram. When an agent is in an indeterminate state, it can communicate to other agents. Computing models can be replicated from other agents. Then the agents transitions to the mutating state to wait for a new information-retrieval goal. When a wireless terminal or station lacks a network resource, an agent in the suspending state can change its policy to submit to the environment before it transitions to the searching state. The agents learn the facts of agent state information entered into an external database. In the cloning process, two agents on a host station sharing a common goal can be merged or married to compose a new agent. Application of the two-layer set of algorithms for mobile agent evolution, performed in a distributed processing environment, is made to the QoS management functions of the IP multimedia IM sub-network of the third generation 3G Wideband Code-division Multiple Access W-CDMA wireless network.
Cooperative Learning: Professional's Guide.
ERIC Educational Resources Information Center
Grisham, Dana L.; Molinelli, Paul M.
Noting that since the 1970s cooperative learning has been widely investigated regarding its implementation and efficacy, this booklet is designed to introduce the teaching strategy of cooperative learning to classroom teachers. The booklet first provides an overview and supplies a context for cooperative learning and then defines cooperative…
Implementing Cooperative Learning in Australian Primary Schools: Generalist Teachers' Perspectives
ERIC Educational Resources Information Center
Hennessey, Angela; Dionigi, Rylee A.
2013-01-01
To implement cooperative learning successfully in practice, teachers require knowledge of cooperative learning, its features and terms, and how it functions in classrooms. This qualitative study examined 12 Australian generalist primary teachers', understandings of cooperative learning and perceived factors affecting its implementation. Using…
Symmetry-based reciprocity: evolutionary constraints on a proximate mechanism
Campennì, Marco
2016-01-01
Background. While the evolution of reciprocal cooperation has attracted an enormous attention, the proximate mechanisms underlying the ability of animals to cooperate reciprocally are comparatively neglected. Symmetry-based reciprocity is a hypothetical proximate mechanism that has been suggested to be widespread among cognitively unsophisticated animals. Methods. We developed two agent-based models of symmetry-based reciprocity (one relying on an arbitrary tag and the other on interindividual proximity) and tested their ability both to reproduce significant emergent features of cooperation in group living animals and to promote the evolution of cooperation. Results. Populations formed by agents adopting symmetry-based reciprocity showed differentiated “social relationships” and a positive correlation between cooperation given and received: two common aspects of animal cooperation. However, when reproduction and selection across multiple generations were added to the models, agents adopting symmetry-based reciprocity were outcompeted by selfish agents that never cooperated. Discussion. In order to evolve, hypothetical proximate mechanisms must be able to stand competition from alternative strategies. While the results of our simulations require confirmation using analytical methods, we provisionally suggest symmetry-based reciprocity is to be abandoned as a possible proximate mechanism underlying the ability of animals to reciprocate cooperative interactions. PMID:26998412
Symmetry-based reciprocity: evolutionary constraints on a proximate mechanism.
Campennì, Marco; Schino, Gabriele
2016-01-01
Background. While the evolution of reciprocal cooperation has attracted an enormous attention, the proximate mechanisms underlying the ability of animals to cooperate reciprocally are comparatively neglected. Symmetry-based reciprocity is a hypothetical proximate mechanism that has been suggested to be widespread among cognitively unsophisticated animals. Methods. We developed two agent-based models of symmetry-based reciprocity (one relying on an arbitrary tag and the other on interindividual proximity) and tested their ability both to reproduce significant emergent features of cooperation in group living animals and to promote the evolution of cooperation. Results. Populations formed by agents adopting symmetry-based reciprocity showed differentiated "social relationships" and a positive correlation between cooperation given and received: two common aspects of animal cooperation. However, when reproduction and selection across multiple generations were added to the models, agents adopting symmetry-based reciprocity were outcompeted by selfish agents that never cooperated. Discussion. In order to evolve, hypothetical proximate mechanisms must be able to stand competition from alternative strategies. While the results of our simulations require confirmation using analytical methods, we provisionally suggest symmetry-based reciprocity is to be abandoned as a possible proximate mechanism underlying the ability of animals to reciprocate cooperative interactions.
Trust and cooperation among economic agents
Dasgupta, Partha
2009-01-01
The units that are subject to selection pressure in evolutionary biology are ‘strategies’, which are conditional actions (‘Do P if X occurs, otherwise do Q’). In contrast, the units in economics select strategies from available menus so as to further their projects and purposes. As economic agents do not live in isolation, each agent's optimum choice, in general, depends on the choices made by others. Because their projects and purposes involve the future, not just the present, each agent reasons about the likely present and future consequences of their respective choices. That is why beliefs, about what others may do and what the consequences of those choices could be, are at the basis of strategy selection. A catalogue of social environments is constructed in which agents not only promise each other's cooperation, but also rationally believe that the promises will be kept. Unfortunately, non-cooperation arising from mistrust can be the outcome in those same environments: societies harbour multiple ‘equilibria’ and can skid from cooperation to non-cooperation. Moreover, a pre-occupation among analysts with the Prisoners' Dilemma game has obscured the fact that cooperative arrangements can harbour not only inequality, but also exploitation. The analysis is used to discuss why international cooperation over the use of global public goods has proved to be so elusive. PMID:19805436
Diverse strategy-learning styles promote cooperation in evolutionary spatial prisoner's dilemma game
NASA Astrophysics Data System (ADS)
Liu, Run-Ran; Jia, Chun-Xiao; Rong, Zhihai
2015-11-01
Observational learning and practice learning are two important learning styles and play important roles in our information acquisition. In this paper, we study a spacial evolutionary prisoner's dilemma game, where players can choose the observational learning rule or the practice learning rule when updating their strategies. In the proposed model, we use a parameter p controlling the preference of players choosing the observational learning rule, and found that there exists an optimal value of p leading to the highest cooperation level, which indicates that the cooperation can be promoted by these two learning rules collaboratively and one single learning rule is not favor the promotion of cooperation. By analysing the dynamical behavior of the system, we find that the observational learning rule can make the players residing on cooperative clusters more easily realize the bad sequence of mutual defection. However, a too high observational learning probability suppresses the players to form compact cooperative clusters. Our results highlight the importance of a strategy-updating rule, more importantly, the observational learning rule in the evolutionary cooperation.
Percolation and cooperation with mobile agents: geometric and strategy clusters.
Vainstein, Mendeli H; Brito, Carolina; Arenzon, Jeferson J
2014-08-01
We study the conditions for persistent cooperation in an off-lattice model of mobile agents playing the Prisoner's Dilemma game with pure, unconditional strategies. Each agent has an exclusion radius r(P), which accounts for the population viscosity, and an interaction radius r(int), which defines the instantaneous contact network for the game dynamics. We show that, differently from the r(P)=0 case, the model with finite-sized agents presents a coexistence phase with both cooperators and defectors, besides the two absorbing phases, in which either cooperators or defectors dominate. We provide, in addition, a geometric interpretation of the transitions between phases. In analogy with lattice models, the geometric percolation of the contact network (i.e., irrespective of the strategy) enhances cooperation. More importantly, we show that the percolation of defectors is an essential condition for their survival. Differently from compact clusters of cooperators, isolated groups of defectors will eventually become extinct if not percolating, independently of their size.
Semi-Cooperative Learning in Smart Grid Agents
2013-12-01
2009 HOEP and its ACF/PACF diagnostic functions. . . 37 2.21 Residuals from multiplicative seasonal ARIMA model fit on 2009 HOEP. . . . . . . . . . 38...2.22 Typical forecast for the next 72 hours based on the ARIMA model of Eq. 2.14. . . . . . . 40 3.1 Consumption capacity of two small villages over...1 (the training series). . 49 3.4 ARIMA model (Eq. 3.1) forecasts based on the full village 1 time series (top subfigure) and the first 24 hours of
Application of decentralized cooperative problem solving in dynamic flexible scheduling
NASA Astrophysics Data System (ADS)
Guan, Zai-Lin; Lei, Ming; Wu, Bo; Wu, Ya; Yang, Shuzi
1995-08-01
The object of this study is to discuss an intelligent solution to the problem of task-allocation in shop floor scheduling. For this purpose, the technique of distributed artificial intelligence (DAI) is applied. Intelligent agents (IAs) are used to realize decentralized cooperation, and negotiation is realized by using message passing based on the contract net model. Multiple agents, such as manager agents, workcell agents, and workstation agents, make game-like decisions based on multiple criteria evaluations. This procedure of decentralized cooperative problem solving makes local scheduling possible. And by integrating such multiple local schedules, dynamic flexible scheduling for the whole shop floor production can be realized.
Implications of Cooperative Learning and Educational Reform for Students with Mild Disabilities
ERIC Educational Resources Information Center
Fore, Cecil, III; Riser, Susan; Boon, Richard
2006-01-01
Cooperative learning is an instructional model that draws extensively on contributions of multiple theorists, including Piaget, Vygotsky, Carroll and other researchers. Many different cooperative learning arrangements have been developed and researched. The most extensively researched and evaluated cooperative learning arrangements is by Robert…
Emergence of a learning community: a transforming experience at the boundaries
NASA Astrophysics Data System (ADS)
Raia, Federica
2013-03-01
I narrate a process of transformation, a professional and personal journey framed by an experience that captured my attention shaping my interpretation and reflections. From a critical complexity framework I discuss the emergence of a learning community from the cooperation among individuals of diverse social and cultural worlds sharing the need to change a traditional professional development program structure and develop a new science education Masters Degree/Certification program. I zoom into the continual redefinition of the community, its evolution and complex interrelations among its participants and the emergence of a learning community as a boundary space having an emancipatory role and allowing growth and learning. I analyze the dialectical relationship between agents' behavior either impeding growth or having an emancipatory function of a mindful RelationalAct in a complex adaptive system framework.
Bryant, D P; Bryant, B R
1998-01-01
Cooperative learning (CL) is a common instructional arrangement that is used by classroom teachers to foster academic achievement and social acceptance of students with and without learning disabilities. Cooperative learning is appealing to classroom teachers because it can provide an opportunity for more instruction and feedback by peers than can be provided by teachers to individual students who require extra assistance. Recent studies suggest that students with LD may need adaptations during cooperative learning activities. The use of assistive technology adaptations may be necessary to help some students with LD compensate for their specific learning difficulties so that they can engage more readily in cooperative learning activities. A process for integrating technology adaptations into cooperative learning activities is discussed in terms of three components: selecting adaptations, monitoring the use of the adaptations during cooperative learning activities, and evaluating the adaptations' effectiveness. The article concludes with comments regarding barriers to and support systems for technology integration, technology and effective instructional practices, and the need to consider technology adaptations for students who have learning disabilities.
Costly advertising and the evolution of cooperation.
Brede, Markus
2013-01-01
In this paper, I investigate the co-evolution of fast and slow strategy spread and game strategies in populations of spatially distributed agents engaged in a one off evolutionary dilemma game. Agents are characterized by a pair of traits, a game strategy (cooperate or defect) and a binary 'advertising' strategy (advertise or don't advertise). Advertising, which comes at a cost [Formula: see text], allows investment into faster propagation of the agents' traits to adjacent individuals. Importantly, game strategy and advertising strategy are subject to the same evolutionary mechanism. Via analytical reasoning and numerical simulations I demonstrate that a range of advertising costs exists, such that the prevalence of cooperation is significantly enhanced through co-evolution. Linking costly replication to the success of cooperators exposes a novel co-evolutionary mechanism that might contribute towards a better understanding of the origins of cooperation-supporting heterogeneity in agent populations.
Using Cooperative Learning To Improve Reading and Writing in Science.
ERIC Educational Resources Information Center
Nesbit, Catherine R.; Rogers, Cynthia A.
1997-01-01
Presents several cooperative learning lessons that integrate science, reading and writing. Notes that sample lessons involve six methods of cooperative learning drawn from four prominent developers and researchers, David Johnson, Roger Johnson, Robert Slavin, and Spencer Kagan. Describes the cooperative learning method to illustrate how to use it…
Learning to Learn Cooperatively
ERIC Educational Resources Information Center
Byrd, Anne Hammond
2009-01-01
Cooperative learning, put quite simply, is a type of instruction whereby students work together in small groups to achieve a common goal. Cooperative learning has become increasingly popular as a feature of Communicative Language Teaching (CLT) with benefits that include increased student interest due to the quick pace of cooperative tasks,…
Cooperative Learning: Improving University Instruction by Basing Practice on Validated Theory
ERIC Educational Resources Information Center
Johnson, David W.; Johnson, Roger T.; Smith, Karl A.
2014-01-01
Cooperative learning is an example of how theory validated by research may be applied to instructional practice. The major theoretical base for cooperative learning is social interdependence theory. It provides clear definitions of cooperative, competitive, and individualistic learning. Hundreds of research studies have validated its basic…
Implementing Cooperative Learning with Secondary School Students
ERIC Educational Resources Information Center
Wee, Sheila E.; Jacobs, George M.
2006-01-01
In this chapter, I describe my use of cooperative learning in the mid-1990s when I was teaching English to students in their final year at a secondary school in Singapore. I will first discuss how I came to learn about cooperative learning. Then, I will illustrate how I set up the classroom for cooperative learning and how I used it in the…
Liu, Ming; Xu, Yang; Mohammed, Abdul-Wahid
2016-01-01
Limited communication resources have gradually become a critical factor toward efficiency of decentralized large scale multi-agent coordination when both system scales up and tasks become more complex. In current researches, due to the agent's limited communication and observational capability, an agent in a decentralized setting can only choose a part of channels to access, but cannot perceive or share global information. Each agent's cooperative decision is based on the partial observation of the system state, and as such, uncertainty in the communication network is unavoidable. In this situation, it is a major challenge working out cooperative decision-making under uncertainty with only a partial observation of the environment. In this paper, we propose a decentralized approach that allows agents cooperatively search and independently choose channels. The key to our design is to build an up-to-date observation for each agent's view so that a local decision model is achievable in a large scale team coordination. We simplify the Dec-POMDP model problem, and each agent can jointly work out its communication policy in order to improve its local decision utilities for the choice of communication resources. Finally, we discuss an implicate resource competition game, and show that, there exists an approximate resources access tradeoff balance between agents. Based on this discovery, the tradeoff between real-time decision-making and the efficiency of cooperation using these channels can be well improved.
Using Cooperative Structures to Promote Deep Learning
ERIC Educational Resources Information Center
Millis, Barbara J.
2014-01-01
The author explores concrete ways to help students learn more and have fun doing it while they support each other's learning. The article specifically shows the relationships between cooperative learning and deep learning. Readers will become familiar with the tenets of cooperative learning and its power to enhance learning--even more so when…
Cooperative Education Is a Superior Strategy for Using Basic Learning Processes.
ERIC Educational Resources Information Center
Reed, V. Gerald
Cooperative education is a learning strategy that fits very well with basic laws of learning. In fact, several basic important learning processes are far better adapted to the cooperative education strategy than to methods that lean entirely on classroom instruction. For instance, cooperative education affords more opportunities for reinforcement,…
ERIC Educational Resources Information Center
Varvarigou, Maria
2016-01-01
This article explores cooperative learning in choral conducting education. The five characteristics of cooperative learning identified by Adams and Hamm ((1996). "Cooperative learning: Critical thinking and collaboration across the curriculum" (2nd ed.). Springfield, IL: Charles Thomas Publishers): positive interdependence; face-to-face…
Combining Cooperative Learning with Reading Aloud by Teachers
ERIC Educational Resources Information Center
Jacobs, George; Hannah, Dan
2004-01-01
This article begins with a section that describes cooperative learning and explains eight cooperative learning principles. The second section discusses the interface between cooperative learning and language pedagogy. Next is a section about the why and how of reading aloud by teachers. The heart of the article resides in the last and longest…
Cooperative Learning and Middle Schools: What Would It Take to Really Do It Right?
ERIC Educational Resources Information Center
Sapon-Shevin, Mara
1994-01-01
The article identifies some of the problems with current cooperative-learning strategies and implementation, links those limitations to both the wider cooperative-learning movement and the nature of middle schools, and calls for conceptualizing and structuring cooperative learning within a much larger educational, social, economic, and political…
Robust Reputations for Peer-to-peer Markets
2007-05-24
in all the example markets we examined. Of course, this strategy allows the seller to mitigate a great deal of risk: if a buyer does not pay, the...larger values of T relative to R make agents somewhat more willing to try non-cooperative strategies while more a more negative S causes agents to be...allows the market to converge to a cooperative state in the transaction game. The strategies employed by agents in such a cooperative market need not
NASA Astrophysics Data System (ADS)
Wahyuni, A.
2018-05-01
This research is aimed to find out whether the model of cooperative learning type Student Team Achievement Division (STAD) is more effective than cooperative learning type Think-Pair-Share in SMP Negeri 7 Yogyakarta. This research was a quasi-experimental research, using two experimental groups. The population of research was all students of 7thclass in SMP Negeri 7 Yogyakarta that consists of 5 Classes. From the population were taken 2 classes randomly which used as sample. The instrument to collect data was a description test. Measurement of instrument validity use content validity and construct validity, while measuring instrument reliability use Cronbach Alpha formula. To investigate the effectiveness of cooperative learning type STAD and cooperative learning type TPS on the aspect of student’s mathematical method, the datas were analyzed by one sample test. Comparing the effectiveness of cooperative learning type STAD and TPS in terms of mathematical communication skills by using t-test. Normality test was not conducted because the sample of research more than 30 students, while homogeneity tested by using Kolmogorov Smirnov test. The analysis was performed at 5% confidence level.The results show as follows : 1) The model of cooperative learning type STAD and TPS are effective in terms of mathematical method of junior high school students. 2). STAD type cooperative learning model is more effective than TPS type cooperative learning model in terms of mathematical methods of junior high school students.
Benefits of Cooperative Learning in Weblog Networks
ERIC Educational Resources Information Center
Wang, Jenny; Fang, Yuehchiu
2005-01-01
The purpose of this study was to explore the benefits of cooperative learning in weblog networks, focusing particularly on learning outcomes in college writing curriculum integrated with computer-mediated learning tool-weblog. The first section addressed the advantages of using weblogs in cooperative learning structure on teaching and learning.…
Impact of Co-Operative Learning Strategies in English
ERIC Educational Resources Information Center
Singaravelu, G.
2010-01-01
The study illuminates the effectiveness of Co-operative Learning Strategies in learning English Grammar for the learners at secondary level. Cooperative Learning is particularly beneficial for any student learning as a second language. It promotes peer interaction, which helps the development of language and the learning of concepts with content.…
Neighbourhood reaction in the evolution of cooperation.
Yang, Guoli; Zhang, Weiming; Xiu, Baoxin
2015-05-07
Combining evolutionary games with adaptive networks, an entangled model between strategy evolution and structure adaptation is researched in this paper. We consider a large population of cooperators C and defectors D placed in the networks, playing the repeated prisoner׳s dilemma (PD) games. Because of the conflicts between social welfare and personal rationality, both strategy and structure are allowed to change. In this paper, the dynamics of strategy originates form the partner imitation based on social learning and the dynamics of structure is driven by the active linking and neighbourhood reaction. Notably, the neighbourhood reaction is investigated considering the changes of interfaces between cooperators and defectors, where some neighbours may get away from the interface once the focal agent changes to different strategy. A rich landscape is demonstrated by changing various embedding parameters, which sheds light upon that reacting promptly to the shifted neighbour will promote the prevalence of cooperation. Our model encapsulates the dynamics of strategy, reaction and structure into the evolutionary games, which manifests some intriguing principles in the competition between two groups in natural populations, artificial systems and even human societies. Copyright © 2015 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Sugiharto
2015-01-01
The aims of this research were to determine the effect of cooperative learning model and learning styles on learning result. This quasi-experimental study employed a 2x2 treatment by level, involved independent variables, i.e. cooperative learning model and learning styles, and learning result as the dependent variable. Findings signify that: (1)…
ERIC Educational Resources Information Center
Regional Laboratory for Educational Improvement of the Northeast & Islands, Andover, MA.
This packet includes reprints of journal articles and other resources pertaining to cooperative learning strategies in small, rural schools. The four sections of the packet cover introduction to cooperative learning, examples of how team strategies and cooperative learning can be used, issues such as program evaluation and public relations, and…
Cooperative Learning Instructional Methods for CS1: Design, Implementation, and Evaluation
ERIC Educational Resources Information Center
Beck, Leland; Chizhik, Alexander
2013-01-01
Cooperative learning is a well-known instructional technique that has been applied with a wide variety of subject matter and a broad spectrum of populations. This article briefly reviews the principles of cooperative learning, and describes how these principles were incorporated into a comprehensive set of cooperative learning activities for a CS1…
ERIC Educational Resources Information Center
Abdulahi, Mohammed Mussa; Hashim, Hakim; Kawo, Mohammed
2017-01-01
The purpose of this action research is to improve the achievement of students in general and, to examine the perception of students and teachers about cooperative learning, to identify major factors affecting the implementation of cooperative learning and to identify the possible strategies used to improve cooperative learning in Madawalabu…
Design Fixation and Cooperative Learning in Elementary Engineering Design Project: A Case Study
ERIC Educational Resources Information Center
Luo, Yi
2015-01-01
This paper presents a case study examining 3rd, 4th and 5th graders' design fixation and cooperative learning in an engineering design project. A mixed methods instrument, the Cooperative Learning Observation Protocol (CLOP), was adapted to record frequency and class observation on cooperative learning engagement through detailed field notes.…
NASA Astrophysics Data System (ADS)
Li, Y. S.; Xu, C.; Hui, P. M.
2018-07-01
Multiple stable states, hysteresis, sensitivity to initial distributions, and a control algorithm for promoting cooperation are studied in an evolutionary prisoner's dilemma with agents connected into a regular random network. A system could evolve into states of different cooperative frequencies xc in different runs, even starting with the same initial cooperative frequency xc(in) and payoff parameters. For a large reward R, some values of xc(in) either take the system to a group of low cooperative frequency (LCF) states or to a few high cooperative frequency (HCF) states. These states differ by their network structures, with cooperative players connected into ring-like structure in LCF states and compact clusters in HCF states. Hysteresis in xc is observed when R is swept down and up, when the final state of the previous R is used as the initial state of the next R. The analysis led us to propose a closed pack cluster algorithm that gives HCF states effectively. The algorithm intervenes the system at some point in time by selectively switching some non-cooperative D-agents into cooperative C-agents at the peripheral of an existing cluster of C-agents. It ensures protection of a small C-cluster from which more cooperation can be induced. Practically, a governing body may first allow a society to evolve freely and then derive suitable policy to promote selected pockets of good practices for attaining a higher level of common good.
Using Mindful Movement in Cooperative Learning while Learning about Angles
ERIC Educational Resources Information Center
Shoval, Ella
2011-01-01
Unlike studies on cooperative learning that have focused on the verbal communication aspect of learning, this study focuses on the non-verbal aspect--mindful movement, which is the use of body movement to aid academic learning. Our research examined the link between five learning activities occurring within a cooperative group of children using…
Ten Strengths of How Teachers Do Cooperative Learning
ERIC Educational Resources Information Center
Jaocbs, George M.
2016-01-01
Cooperative learning involves students in working together with peers to learn, to develop learning skills and to enjoy the learning process. This paper examines ten areas in which the author believes he and other teachers do cooperative learning well. These areas are: (1) keeping group size small, usually four or fewer; (2) encouraging students…
ERIC Educational Resources Information Center
Jacobs, George M.; Power, Michael A.; Inn, Loh Wan
This book demonstrates how classroom teachers can use cooperative learning techniques for lesson planning and classroom management. It emphasizes that cooperation among students is powerful, and it notes that just because students are in a group does not mean that they are cooperating. Part 1, "Getting Started with Cooperative Learning," includes…
ERIC Educational Resources Information Center
Jones, Karrie A.; Jones, Jennifer L.
2008-01-01
Cooperative learning is viable yet generally underutilized method of instruction at the college level (Paulsen and Faust, 2008). This paper highlights the work of teacher educator Dr. Paul J. Vermette in his implementation of cooperative learning based practices in a graduate level Multicultural education course. In analyzing the "Five…
Cooperative inference: Features, objects, and collections.
Searcy, Sophia Ray; Shafto, Patrick
2016-10-01
Cooperation plays a central role in theories of development, learning, cultural evolution, and education. We argue that existing models of learning from cooperative informants have fundamental limitations that prevent them from explaining how cooperation benefits learning. First, existing models are shown to be computationally intractable, suggesting that they cannot apply to realistic learning problems. Second, existing models assume a priori agreement about which concepts are favored in learning, which leads to a conundrum: Learning fails without precise agreement on bias yet there is no single rational choice. We introduce cooperative inference, a novel framework for cooperation in concept learning, which resolves these limitations. Cooperative inference generalizes the notion of cooperation used in previous models from omission of labeled objects to the omission values of features, labels for objects, and labels for collections of objects. The result is an approach that is computationally tractable, does not require a priori agreement about biases, applies to both Boolean and first-order concepts, and begins to approximate the richness of real-world concept learning problems. We conclude by discussing relations to and implications for existing theories of cognition, cognitive development, and cultural evolution. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
The Effects of Cooperative Learning on Self-Esteem: A Literature Review.
ERIC Educational Resources Information Center
Tedesco, Lucyann M.
Cooperative learning involves students working in small groups or teams to help each other learn academic material. Cooperative learning strategies are organized, highly structured methods that usually involve formal presentation of information, student practice and coaching in learning teams, individual assessment of mastery, and public…
Teaching Economics: A Cooperative Learning Model.
ERIC Educational Resources Information Center
Caropreso, Edward J.; Haggerty, Mark
2000-01-01
Describes an alternative approach to introductory economics based on a cooperative learning model, "Learning Together." Discussion of issues in economics education and cooperative learning in higher education leads to explanation of how to adapt the Learning Together Model to lesson planning in economics. A flow chart illustrates the process for a…
Using Weblog in Cooperative Learning to Improve the Achievement of History Learning
ERIC Educational Resources Information Center
Leng, Lim Hooi; Leng, Chin Hai; Abedalaziz, Nabeel
2013-01-01
This research investigates the use of Weblog in Cooperative Learning to enhance students' learning of History. The main issues of this study were the lack of interest and low achievement scores in History learning. The objectives of this study are to explore the incorporation of Weblog in Cooperative Learning within the teaching and learning…
What Are the Perceptions of Lecturers towards Using Cooperative Learning in Civil Engineering?
ERIC Educational Resources Information Center
Ahern, Aoife
2007-01-01
The objective of the current paper is to examine how group learning and cooperative learning are used in civil engineering courses. The paper defines group learning and cooperative learning in the first section. It is hypothesized that group learning is used in civil engineering courses to build teamwork skills and communication skills among civil…
ERIC Educational Resources Information Center
Chen, Chih-Ming; Chang, Chia-Cheng
2014-01-01
Many studies have identified web-based cooperative learning as an increasingly popular educational paradigm with potential to increase learner satisfaction and interactions. However, peer-to-peer interaction often suffers barriers owing to a failure to explore useful social interaction information in web-based cooperative learning environments.…
Desai, Prajakta; Desai, Aniruddha
2017-01-01
Traffic congestion continues to be a persistent problem throughout the world. As vehicle-to-vehicle communication develops, there is an opportunity of using cooperation among close proximity vehicles to tackle the congestion problem. The intuition is that if vehicles could cooperate opportunistically when they come close enough to each other, they could, in effect, spread themselves out among alternative routes so that vehicles do not all jam up on the same roads. Our previous work proposed a decentralized multiagent based vehicular congestion management algorithm entitled Congestion Avoidance and Route Allocation using Virtual Agent Negotiation (CARAVAN), wherein the vehicles acting as intelligent agents perform cooperative route allocation using inter-vehicular communication. This paper focuses on evaluating the practical applicability of this approach by testing its robustness and performance (in terms of travel time reduction), across variations in: (a) environmental parameters such as road network topology and configuration; (b) algorithmic parameters such as vehicle agent preferences and route cost/preference multipliers; and (c) agent-related parameters such as equipped/non-equipped vehicles and compliant/non-compliant agents. Overall, the results demonstrate the adaptability and robustness of the decentralized cooperative vehicles approach to providing global travel time reduction using simple local coordination strategies. PMID:28792513
Desai, Prajakta; Loke, Seng W; Desai, Aniruddha
2017-01-01
Traffic congestion continues to be a persistent problem throughout the world. As vehicle-to-vehicle communication develops, there is an opportunity of using cooperation among close proximity vehicles to tackle the congestion problem. The intuition is that if vehicles could cooperate opportunistically when they come close enough to each other, they could, in effect, spread themselves out among alternative routes so that vehicles do not all jam up on the same roads. Our previous work proposed a decentralized multiagent based vehicular congestion management algorithm entitled Congestion Avoidance and Route Allocation using Virtual Agent Negotiation (CARAVAN), wherein the vehicles acting as intelligent agents perform cooperative route allocation using inter-vehicular communication. This paper focuses on evaluating the practical applicability of this approach by testing its robustness and performance (in terms of travel time reduction), across variations in: (a) environmental parameters such as road network topology and configuration; (b) algorithmic parameters such as vehicle agent preferences and route cost/preference multipliers; and (c) agent-related parameters such as equipped/non-equipped vehicles and compliant/non-compliant agents. Overall, the results demonstrate the adaptability and robustness of the decentralized cooperative vehicles approach to providing global travel time reduction using simple local coordination strategies.
Using Cooperative Learning Structures in Physical Education.
ERIC Educational Resources Information Center
Dyson, Ben; Grineski, Steve
2001-01-01
Research has determined that cooperative learning has positive effects in physical education. This article presents five important components of cooperative learning to help physical educators maximize learning (team formation, positive interdependence, individual accountability, positive social interaction, and group processing), describing five…
Cooperation Support in Computer-Aided Authoring and Learning.
ERIC Educational Resources Information Center
Muhlhauser, Max; Rudebusch, Tom
This paper discusses the use of Computer Supported Cooperative Work (CSCW) techniques for computer-aided learning (CAL); the work was started in the context of project Nestor, a joint effort of German universities about cooperative multimedia authoring/learning environments. There are four major categories of cooperation for CAL: author/author,…
Benefits of Cooperative Learning in a Multimedia Environment.
ERIC Educational Resources Information Center
Webb, James
This paper reviews the research on cooperative learning combined with technology and presents a formative report of those findings. The review focused on these questions: What are the benefits of cooperative learning in a multimedia environment? What benefits do computer-based training offer? What are the benefits of cooperative learning…
ERIC Educational Resources Information Center
Pan, Ching-Ying; Wu, Hui-Yi
2013-01-01
This experimental study aims to investigate the effects of using cooperative learning to enhance the English reading comprehension and learning motivation of EFL freshmen by comparing the cooperative learning instruction and traditional lecture instruction. This experiment was implemented in a Freshman English Reading course, a two credit course,…
Cooperative-Experiential Learning: Using Student-Developed Games to Increase Knowledge Retention
ERIC Educational Resources Information Center
Camp, Kerri M.; Avery, Sherry; Lirely, Roger
2012-01-01
Previous literature has discussed the use of cooperative and experiential learning as a means of augmenting student involvement in the learning process. Teamwork has been one method of employing cooperative learning and having students play games has been used extensively in experiential learning approaches. Often the two pedagogies are employed…
P Hauser, Oliver; A Nowak, Martin; G Rand, David
2014-11-07
It has been argued that punishment promotes the evolution of cooperation when mutation rates are high (i.e. when agents engage in 'exploration dynamics'). Mutations maintain a steady supply of agents that punish free-riders, and thus free-riders are at a disadvantage. Recent experiments, however, have demonstrated that free-riders sometimes also pay to punish cooperators. Inspired by these empirical results, theoretical work has explored evolutionary dynamics where mutants are rare, and found that punishment does not promote the evolution of cooperation when this 'anti-social punishment' is allowed. Here we extend previous theory by studying the effect of anti-social punishment on the evolution of cooperation across higher mutation rates, and by studying voluntary as well as compulsory Public Goods Games. We find that for intermediate and high mutation rates, adding punishment does not promote cooperation in either compulsory or voluntary public goods games if anti-social punishment is possible. This is because mutations generate agents that punish cooperators just as frequently as agents that punish defectors, and these two effects cancel each other out. These results raise questions about the effectiveness of punishment for promoting cooperation when mutations are common, and highlight how decisions about which strategies to include in the strategy set can have profound effects on the resulting dynamics. Copyright © 2014 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Huang, Ming-Shang; Hsiao, Wei-Hung; Chang, Tsung-Sheng; Hu, Mei-Huei
2012-01-01
The purpose of this paper is to investigate the learning effectiveness of cooperative learning system based on social presence theory. We develop a web-based cooperative learning system which contains personal module, admin module, course module, communication module, and learning records module to support the implementation of cooperative…
ERIC Educational Resources Information Center
Nadrah; Tolla, Ismail; Ali, Muhammad Sidin; Muris
2017-01-01
This research aims at describing the effect of cooperative learning model of Teams Games Tournament (TGT) and motivation toward physics learning outcome. This research was a quasi-experimental research with a factorial design conducted at SMAN 2 Makassar. Independent variables were learning models. They were cooperative learning model of TGT and…
Collaborative and Cooperative Learning in Malaysian Mathematics Education
ERIC Educational Resources Information Center
Hossain, Md. Anowar; Tarmizi, Rohani Ahmad; Ayud, Ahmad Fauzi Mohd
2012-01-01
Collaborative and cooperative learning studies are well recognized in Malaysian mathematics education research. Cooperative learning is used to serve various ability students taking into consideration of their level of understanding, learning styles, sociological backgrounds that develop students' academic achievement and skills, and breeze the…
NASA Astrophysics Data System (ADS)
Luy, N. T.
2018-04-01
The design of distributed cooperative H∞ optimal controllers for multi-agent systems is a major challenge when the agents' models are uncertain multi-input and multi-output nonlinear systems in strict-feedback form in the presence of external disturbances. In this paper, first, the distributed cooperative H∞ optimal tracking problem is transformed into controlling the cooperative tracking error dynamics in affine form. Second, control schemes and online algorithms are proposed via adaptive dynamic programming (ADP) and the theory of zero-sum differential graphical games. The schemes use only one neural network (NN) for each agent instead of three from ADP to reduce computational complexity as well as avoid choosing initial NN weights for stabilising controllers. It is shown that despite not using knowledge of cooperative internal dynamics, the proposed algorithms not only approximate values to Nash equilibrium but also guarantee all signals, such as the NN weight approximation errors and the cooperative tracking errors in the closed-loop system, to be uniformly ultimately bounded. Finally, the effectiveness of the proposed method is shown by simulation results of an application to wheeled mobile multi-robot systems.
Generation Z, Meet Cooperative Learning
ERIC Educational Resources Information Center
Igel, Charles; Urquhart, Vicki
2012-01-01
Today's Generation Z teens need to develop teamwork and social learning skills to be successful in the 21st century workplace. Teachers can help students develop these skills and enhance academic achievement by implementing cooperative learning strategies. Three key principles for successful cooperative learning are discussed. (Contains 1 figure.)
The Effects of Cooperative Learning and Feedback on E-Learning in Statistics
ERIC Educational Resources Information Center
Krause, Ulrike-Marie; Stark, Robin; Mandl, Heinz
2009-01-01
This study examined whether cooperative learning and feedback facilitate situated, example-based e-learning in the field of statistics. The factors "social context" (individual vs. cooperative) and "feedback intervention" (available vs. not available) were varied; participants were 137 university students. Results showed that…
ERIC Educational Resources Information Center
Bash, Leslie
2014-01-01
This paper connects the two fields of cooperative learning and intercultural education, focusing on the argument that cooperative learning strategies need to be equipped with intercultural understandings. There is a consideration of assumptions that effective cooperative pedagogical strategies require an engagement with challenging issues related…
Partner switching promotes cooperation among myopic agents on a geographical plane
NASA Astrophysics Data System (ADS)
Li, Yixiao; Min, Yong; Zhu, Xiaodong; Cao, Jie
2013-02-01
We study the coupling dynamics between the evolution of cooperation and the evolution of partnership network on a geographical plane. While agents play networked prisoner’s dilemma games, they can dynamically adjust their partnerships based on local information about reputation. We incorporate geographical features into the process of the agent’s partner switching and investigate the corresponding effects. At each time step of the coevolution, a random agent can either update his strategy by imitation or adjust his partnership by switching from the lowest reputation partner to the highest reputation one among his neighbors. We differentiate two types of neighbors: geographical neighbors (i.e., the set of agents who are close to the focal agent in terms of geographical distance) and connectivity neighbors (i.e., the set of agents who are close to the focal agent in the partnership network in terms of geodesic distance). We find that switching to either geographical neighbors or connectivity neighbors enhances cooperation greatly in a wide parameter range. Cooperation can be favored in a much stricter condition when agents switch to connectivity neighbors more frequently. However, an increasing tendency of reconnecting to geographical neighbors shortens the geographical distance between a pair of partners on average. When agents consider the cost of geographical distance in adjusting the partnership, they are prone to reconnect to geographical neighbors.
A Scale Development for Teacher Competencies on Cooperative Learning Method
ERIC Educational Resources Information Center
Kocabas, Ayfer; Erbil, Deniz Gokce
2017-01-01
Cooperative learning method is a learning method studied both in Turkey and in the world for long years as an active learning method. Although cooperative learning method takes place in training programs, it cannot be implemented completely in the direction of its principles. The results of the researches point out that teachers have problems with…
SISL and SIRL: Two knowledge dissemination models with leader nodes on cooperative learning networks
NASA Astrophysics Data System (ADS)
Li, Jingjing; Zhang, Yumei; Man, Jiayu; Zhou, Yun; Wu, Xiaojun
2017-02-01
Cooperative learning is one of the most effective teaching methods, which has been widely used. Students' mutual contact forms a cooperative learning network in this process. Our previous research demonstrated that the cooperative learning network has complex characteristics. This study aims to investigating the dynamic spreading process of the knowledge in the cooperative learning network and the inspiration of leaders in this process. To this end, complex network transmission dynamics theory is utilized to construct the knowledge dissemination model of a cooperative learning network. Based on the existing epidemic models, we propose a new susceptible-infected-susceptible-leader (SISL) model that considers both students' forgetting and leaders' inspiration, and a susceptible-infected-removed-leader (SIRL) model that considers students' interest in spreading and leaders' inspiration. The spreading threshold λcand its impact factors are analyzed. Then, numerical simulation and analysis are delivered to reveal the dynamic transmission mechanism of knowledge and leaders' role. This work is of great significance to cooperative learning theory and teaching practice. It also enriches the theory of complex network transmission dynamics.
Self-Learning Power Control in Wireless Sensor Networks.
Chincoli, Michele; Liotta, Antonio
2018-01-27
Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This aggravates the already over-congested unlicensed radio bands, calling for new mechanisms to improve spectrum management and energy efficiency, such as transmission power control. Existing protocols are based on simplistic heuristics that often approach interference problems (i.e., packet loss, delay and energy waste) by increasing power, leading to detrimental results. The scope of this work is to investigate how machine learning may be used to bring wireless nodes to the lowest possible transmission power level and, in turn, to respect the quality requirements of the overall network. Lowering transmission power has benefits in terms of both energy consumption and interference. We propose a protocol of transmission power control through a reinforcement learning process that we have set in a multi-agent system. The agents are independent learners using the same exploration strategy and reward structure, leading to an overall cooperative network. The simulation results show that the system converges to an equilibrium where each node transmits at the minimum power while respecting high packet reception ratio constraints. Consequently, the system benefits from low energy consumption and packet delay.
Self-Learning Power Control in Wireless Sensor Networks
Liotta, Antonio
2018-01-01
Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This aggravates the already over-congested unlicensed radio bands, calling for new mechanisms to improve spectrum management and energy efficiency, such as transmission power control. Existing protocols are based on simplistic heuristics that often approach interference problems (i.e., packet loss, delay and energy waste) by increasing power, leading to detrimental results. The scope of this work is to investigate how machine learning may be used to bring wireless nodes to the lowest possible transmission power level and, in turn, to respect the quality requirements of the overall network. Lowering transmission power has benefits in terms of both energy consumption and interference. We propose a protocol of transmission power control through a reinforcement learning process that we have set in a multi-agent system. The agents are independent learners using the same exploration strategy and reward structure, leading to an overall cooperative network. The simulation results show that the system converges to an equilibrium where each node transmits at the minimum power while respecting high packet reception ratio constraints. Consequently, the system benefits from low energy consumption and packet delay. PMID:29382072
ERIC Educational Resources Information Center
Tlhoaele, Malefyane; Suhre, Cor; Hofman, Adriaan
2016-01-01
Cooperative learning may improve students' motivation, understanding of course concepts, and academic performance. This study therefore enhanced a cooperative, group-project learning technique with technology resources to determine whether doing so improved students' deep learning and performance. A sample of 118 engineering students, randomly…
An Investigative, Cooperative Learning Approach to the General Microbiology Laboratory
ERIC Educational Resources Information Center
Seifert, Kyle; Fenster, Amy; Dilts, Judith A.; Temple, Louise
2009-01-01
Investigative- and cooperative-based learning strategies have been used effectively in a variety of classrooms to enhance student learning and engagement. In the General Microbiology laboratory for juniors and seniors at James Madison University, these strategies were combined to make a semester-long, investigative, cooperative learning experience…
ERIC Educational Resources Information Center
Trempy, Janine E.; Skinner, Monica M.; Siebold, William A.
2002-01-01
Describes the course "The World According to Microbes" which puts science, mathematics, engineering, and technology majors into teams of students charged with problem solving activities that are microbial in origin. Describes the development of learning activities that utilize key components of cooperative learning including positive…
Students' views of cooperative learning and group testing.
Hicks, Jay
2007-01-01
Today's radiologic technology students must learn to collaborate and communicate to function as part of the health care team. Innovative educational techniques such as cooperative learning (working collectively in small groups) and group testing (collaborating on tests) can foster these skills. Assess students' familiarity with and opinions about cooperative learning and group testing before and after participation in a semester-long course incorporating these methods. Twenty-eight students enrolled in a baccalaureate-level radiologic technology program in Louisiana were surveyed at the beginning and end of the semester. Results showed that students were more knowledgeable about and more accepting of cooperative learning and group testing after participating in the course. However, some students continued to prefer independent learning. Students are open to new learning methods such as cooperative learning and group testing. These techniques can help them develop the skills they will need to function collaboratively in the workplace.
ERIC Educational Resources Information Center
Lehraus, Katia
2015-01-01
This study explored how to integrate cooperative skills training into learning tasks in the area of writing. Cooperative learning sessions, aimed at developing both cooperative and cognitive skills, were created and conducted in two elementary school classes (Grade 2, age 7-8). Pupils' teamwork interactions were videotaped and analysed.…
ERIC Educational Resources Information Center
Kaldi, Stavroula; Filippatou, Diamanto; Anthopoulou, Barbara
2014-01-01
This study focuses upon the effectiveness of structured co-operative group work on primary school students, aged between 8.5 and 9.5 years old, regarding their content knowledge, attitudes towards co-operative group work, experiential learning and open-ended curriculum as well as students' social and learning behaviour during co-operative group…
ERIC Educational Resources Information Center
Rabgay, Tshewang
2018-01-01
The study investigated the effect of using cooperative learning method on tenth grade students' learning achievement in biology and their attitude towards the subject in a Higher Secondary School in Bhutan. The study used a mixed method approach. The quantitative component included an experimental design where cooperative learning was the…
NASA Astrophysics Data System (ADS)
Requejo, Rubén J.; Camacho, Juan; Cuesta, José A.; Arenas, Alex
2012-08-01
The emergence and promotion of cooperation are two of the main issues in evolutionary game theory, as cooperation is amenable to exploitation by defectors, which take advantage of cooperative individuals at no cost, dooming them to extinction. It has been recently shown that the existence of purely destructive agents (termed jokers) acting on the common enterprises (public goods games) can induce stable limit cycles among cooperation, defection, and destruction when infinite populations are considered. These cycles allow for time lapses in which cooperators represent a relevant fraction of the population, providing a mechanism for the emergence of cooperative states in nature and human societies. Here we study analytically and through agent-based simulations the dynamics generated by jokers in finite populations for several selection rules. Cycles appear in all cases studied, thus showing that the joker dynamics generically yields a robust cyclic behavior not restricted to infinite populations. We also compute the average time in which the population consists mostly of just one strategy and compare the results with numerical simulations.
Rebaudo, François; Dangles, Olivier
2011-10-01
Worldwide, the theory and practice of agricultural extension system have been dominated for almost half a century by Rogers' "diffusion of innovation theory". In particular, the success of integrated pest management (IPM) extension programs depends on the effectiveness of IPM information diffusion from trained farmers to other farmers, an important assumption which underpins funding from development organizations. Here we developed an innovative approach through an agent-based model (ABM) combining social (diffusion theory) and biological (pest population dynamics) models to study the role of cooperation among small-scale farmers to share IPM information for controlling an invasive pest. The model was implemented with field data, including learning processes and control efficiency, from large scale surveys in the Ecuadorian Andes. Our results predict that although cooperation had short-term costs for individual farmers, it paid in the long run as it decreased pest infestation at the community scale. However, the slow learning process placed restrictions on the knowledge that could be generated within farmer communities over time, giving rise to natural lags in IPM diffusion and applications. We further showed that if individuals learn from others about the benefits of early prevention of new pests, then educational effort may have a sustainable long-run impact. Consistent with models of information diffusion theory, our results demonstrate how an integrated approach combining ecological and social systems would help better predict the success of IPM programs. This approach has potential beyond pest management as it could be applied to any resource management program seeking to spread innovations across populations.
Emergence of social cohesion in a model society of greedy, mobile individuals
Roca, Carlos P.; Helbing, Dirk
2011-01-01
Human wellbeing in modern societies relies on social cohesion, which can be characterized by high levels of cooperation and a large number of social ties. Both features, however, are frequently challenged by individual self-interest. In fact, the stability of social and economic systems can suddenly break down as the recent financial crisis and outbreaks of civil wars illustrate. To understand the conditions for the emergence and robustness of social cohesion, we simulate the creation of public goods among mobile agents, assuming that behavioral changes are determined by individual satisfaction. Specifically, we study a generalized win-stay-lose-shift learning model, which is only based on previous experience and rules out greenbeard effects that would allow individuals to guess future gains. The most noteworthy aspect of this model is that it promotes cooperation in social dilemma situations despite very low information requirements and without assuming imitation, a shadow of the future, reputation effects, signaling, or punishment. We find that moderate greediness favors social cohesionby a coevolution between cooperation and spatial organization, additionally showing that those cooperation-enforcing levels of greediness can be evolutionarily selected. However, a maladaptive trend of increasing greediness, although enhancing individuals’ returns in the beginning, eventually causes cooperation and social relationships to fall apart. Our model is, therefore, expected to shed light on the long-standing problem of the emergence and stability of cooperative behavior. PMID:21709245
Emergence of social cohesion in a model society of greedy, mobile individuals.
Roca, Carlos P; Helbing, Dirk
2011-07-12
Human wellbeing in modern societies relies on social cohesion, which can be characterized by high levels of cooperation and a large number of social ties. Both features, however, are frequently challenged by individual self-interest. In fact, the stability of social and economic systems can suddenly break down as the recent financial crisis and outbreaks of civil wars illustrate. To understand the conditions for the emergence and robustness of social cohesion, we simulate the creation of public goods among mobile agents, assuming that behavioral changes are determined by individual satisfaction. Specifically, we study a generalized win-stay-lose-shift learning model, which is only based on previous experience and rules out greenbeard effects that would allow individuals to guess future gains. The most noteworthy aspect of this model is that it promotes cooperation in social dilemma situations despite very low information requirements and without assuming imitation, a shadow of the future, reputation effects, signaling, or punishment. We find that moderate greediness favors social cohesion by a coevolution between cooperation and spatial organization, additionally showing that those cooperation-enforcing levels of greediness can be evolutionarily selected. However, a maladaptive trend of increasing greediness, although enhancing individuals' returns in the beginning, eventually causes cooperation and social relationships to fall apart. Our model is, therefore, expected to shed light on the long-standing problem of the emergence and stability of cooperative behavior.
NASA Astrophysics Data System (ADS)
Tlhoaele, Malefyane; Suhre, Cor; Hofman, Adriaan
2016-05-01
Cooperative learning may improve students' motivation, understanding of course concepts, and academic performance. This study therefore enhanced a cooperative, group-project learning technique with technology resources to determine whether doing so improved students' deep learning and performance. A sample of 118 engineering students, randomly divided into two groups, participated in this study and provided data through questionnaires issued before and after the experiment. The results, obtained through analyses of variance and structural equation modelling, reveal that technology-enhanced, cooperative, group-project learning improves students' comprehension and academic performance.
Toward a Mobile Agent Relay Network
2010-03-01
in the study of particle movement. In computer science, flocking movement has been adapted for use in the collective, cooperative movement of...MARN). For our approach, we utilize a mod- ified flocking behavior to generate cooperative movement that utilizes the agent’s re- lay capability. We...Summary Our testing focuses on measuring effective cooperative movement and robustness against malicious agents. The movement testing demonstrated that a
Cooperative Learning as a Democratic Learning Method
ERIC Educational Resources Information Center
Erbil, Deniz Gökçe; Kocabas, Ayfer
2018-01-01
In this study, the effects of applying the cooperative learning method on the students' attitude toward democracy in an elementary 3rd-grade life studies course was examined. Over the course of 8 weeks, the cooperative learning method was applied with an experimental group, and traditional methods of teaching life studies in 2009, which was still…
ERIC Educational Resources Information Center
Gillies, Robyn M.; Khan, Asaduzzaman
2008-01-01
The study sought to determine if teachers who are taught specific communication skills designed to challenge students' cognitive and metacognitive thinking during cooperative learning use more challenging and scaffolding behaviours to mediate students' learning than teachers who implement cooperative learning or small-group work who have not been…
Cooperative Language Learning: Increasing Opportunities for Learning in Teams
ERIC Educational Resources Information Center
Wichadee, Saovapa; Orawiwatnakul, Wiwat
2012-01-01
This paper conceptualizes cooperative language learning, group instruction which is under the learner-centered approach where the groups are formed in such a way that each member performs his or her task to achieve the goal. Previous research indicates that cooperative language learning doesn't only improve learners' language skills, but also…
ERIC Educational Resources Information Center
Garcia, Maria M.
2013-01-01
This study focused on describing teachers' perspectives in reference to cooperative learning, students diagnosed with ADHD, and teacher participation in professional learning communities (PLCs). A quantitative methodology, survey study method was used to collect information. The literature review on ADHD and Cooperative Learning helped…
Impact of Group Exams in a Graduate Intermediate Accounting Class
ERIC Educational Resources Information Center
Bay, Darlene; Pacharn, Parunchana
2017-01-01
Cooperative learning techniques have been found to be quite successful in a variety of learning environments. However, in university-level accounting courses, investigations of the efficacy of cooperative learning pedagogical methods have produced mixed results at best. To continue the search for a cooperative learning method that is effective in…
Theoretical Perspectives Underlying the Application of Cooperative Learning in Classrooms
ERIC Educational Resources Information Center
Tran, Van Dat
2013-01-01
Cooperative learning has been the centre of worldwide attention because it has been shown to have strong effects on student learning, as well as other positive outcomes. Although the academic, social, affective and psychological outcomes of students taught by cooperative learning are more positive compared with students taught by the traditional…
Cooperative peer-to-peer multiagent-based systems
NASA Astrophysics Data System (ADS)
Caram, L. F.; Caiafa, C. F.; Ausloos, M.; Proto, A. N.
2015-08-01
A multiagent based model for a system of cooperative agents aiming at growth is proposed. This is based on a set of generalized Verhulst-Lotka-Volterra differential equations. In this study, strong cooperation is allowed among agents having similar sizes, and weak cooperation if agents have markedly different "sizes", thus establishing a peer-to-peer modulated interaction scheme. A rigorous analysis of the stable configurations is presented first examining the fixed points of the system, next determining their stability as a function of the model parameters. It is found that the agents are self-organizing into clusters. Furthermore, it is demonstrated that, depending on parameter values, multiple stable configurations can coexist. It occurs that only one of them always emerges with probability close to one, because its associated attractor dominates over the rest. This is shown through numerical integrations and simulations, after analytic developments. In contrast to the competitive case, agents are able to increase their capacity beyond the no-interaction case limit. In other words, when some collaborative partnership among a relatively small number of partners takes place, all agents act in good faith prioritizing the common good, when receiving a mutual benefit allowing them to surpass their capacity.
Cooperative peer-to-peer multiagent-based systems.
Caram, L F; Caiafa, C F; Ausloos, M; Proto, A N
2015-08-01
A multiagent based model for a system of cooperative agents aiming at growth is proposed. This is based on a set of generalized Verhulst-Lotka-Volterra differential equations. In this study, strong cooperation is allowed among agents having similar sizes, and weak cooperation if agents have markedly different "sizes", thus establishing a peer-to-peer modulated interaction scheme. A rigorous analysis of the stable configurations is presented first examining the fixed points of the system, next determining their stability as a function of the model parameters. It is found that the agents are self-organizing into clusters. Furthermore, it is demonstrated that, depending on parameter values, multiple stable configurations can coexist. It occurs that only one of them always emerges with probability close to one, because its associated attractor dominates over the rest. This is shown through numerical integrations and simulations, after analytic developments. In contrast to the competitive case, agents are able to increase their capacity beyond the no-interaction case limit. In other words, when some collaborative partnership among a relatively small number of partners takes place, all agents act in good faith prioritizing the common good, when receiving a mutual benefit allowing them to surpass their capacity.
Older partner selection promotes the prevalence of cooperation in evolutionary games.
Yang, Guoli; Huang, Jincai; Zhang, Weiming
2014-10-21
Evolutionary games typically come with the interplays between evolution of individual strategy and adaptation to network structure. How these dynamics in the co-evolution promote (or obstruct) the cooperation is regarded as an important topic in social, economic, and biological fields. Combining spatial selection with partner choice, the focus of this paper is to identify which neighbour should be selected as a role to imitate during the process of co-evolution. Age, an internal attribute and kind of local piece of information regarding the survivability of the agent, is a significant consideration for the selection strategy. The analysis and simulations presented, demonstrate that older partner selection for strategy imitation could foster the evolution of cooperation. The younger partner selection, however, may decrease the level of cooperation. Our model highlights the importance of agent׳s age on the promotion of cooperation in evolutionary games, both efficiently and effectively. Copyright © 2014 Elsevier Ltd. All rights reserved.
Costly Advertising and the Evolution of Cooperation
Brede, Markus
2013-01-01
In this paper, I investigate the co-evolution of fast and slow strategy spread and game strategies in populations of spatially distributed agents engaged in a one off evolutionary dilemma game. Agents are characterized by a pair of traits, a game strategy (cooperate or defect) and a binary ‘advertising’ strategy (advertise or don’t advertise). Advertising, which comes at a cost , allows investment into faster propagation of the agents’ traits to adjacent individuals. Importantly, game strategy and advertising strategy are subject to the same evolutionary mechanism. Via analytical reasoning and numerical simulations I demonstrate that a range of advertising costs exists, such that the prevalence of cooperation is significantly enhanced through co-evolution. Linking costly replication to the success of cooperators exposes a novel co-evolutionary mechanism that might contribute towards a better understanding of the origins of cooperation-supporting heterogeneity in agent populations. PMID:23861752
NASA Astrophysics Data System (ADS)
Ramazani, Saba; Jackson, Delvin L.; Selmic, Rastko R.
2013-05-01
In search and surveillance operations, deploying a team of mobile agents provides a robust solution that has multiple advantages over using a single agent in efficiency and minimizing exploration time. This paper addresses the challenge of identifying a target in a given environment when using a team of mobile agents by proposing a novel method of mapping and movement of agent teams in a cooperative manner. The approach consists of two parts. First, the region is partitioned into a hexagonal beehive structure in order to provide equidistant movements in every direction and to allow for more natural and flexible environment mapping. Additionally, in search environments that are partitioned into hexagons, mobile agents have an efficient travel path while performing searches due to this partitioning approach. Second, we use a team of mobile agents that move in a cooperative manner and utilize the Tabu Random algorithm to search for the target. Due to the ever-increasing use of robotics and Unmanned Aerial Vehicle (UAV) platforms, the field of cooperative multi-agent search has developed many applications recently that would benefit from the use of the approach presented in this work, including: search and rescue operations, surveillance, data collection, and border patrol. In this paper, the increased efficiency of the Tabu Random Search algorithm method in combination with hexagonal partitioning is simulated, analyzed, and advantages of this approach are presented and discussed.
Effects of cooperative learning strategy on undergraduate kinesiology students' learning styles.
Meeuwsen, Harry J; King, George A; Pederson, Rockie
2005-10-01
A growing body of research supports cooperative learning as an effective teaching strategy. A specific cooperative learning strategy, Team-based Learning, was applied to a convenience sample of four undergraduate sophomore-level motor behavior courses over four semesters from Fall 2002 to Spring 2004 to examine whether this strategy would affect students' learning styles. The data from the Grasha-Reichmann Student Learning Style Scales indicated that this teaching strategy was associated with a significant decrease in the negative Avoidant and Dependent learning styles and an improvement in the positive Participant learning style.
On the Free-Rider Problem in Cooperative Learning.
ERIC Educational Resources Information Center
Joyce, William B.
1999-01-01
Cooperative-learning activities were implemented in one of two sections of an accounting class. The problem of "free riders"--students who do not participate fully in cooperative-learning groups--was reduced by having group members rotate midway through the course. (SK)
What Do We Put in the Place of Ability Grouping? (When the Principal Asks).
ERIC Educational Resources Information Center
Harp, Bill
1989-01-01
Presents two alternatives to ability grouping--flexible grouping (based on students' level of independence as learners), and cooperative learning groups. Discusses the benefits of cooperative learning, and provides a sample cooperative learning lesson. (MM)
Cooperative Activities for the Home: Parents Working with Teachers to Support Cooperative Learning.
ERIC Educational Resources Information Center
Holm, Audray; And Others
A collection of activities is presented for use at home to foster cooperative attitudes and build social skills. The activities are aimed at strengthening the cooperative bond in a family and giving family members practice in the skills needed to cooperate effectively. This handbook explains the cooperative learning concept, outlines the rules for…
Mechanisms and dynamics of cooperation and competition emergence in complex networked systems
NASA Astrophysics Data System (ADS)
Gianetto, David A.
Cooperative behavior is a pervasive phenomenon in human interactions and yet how it can evolve and become established, through the selfish process of natural selection, is an enduring puzzle. These behaviors emerge when agents interact in a structured manner; even so, the key structural factors that affect cooperation are not well understood. Moreover, the literature often considers cooperation a single attribute of primitive agents who do not react to environmental changes but real-world actors are more perceptive. The present work moves beyond these assumptions by evolving more realistic game participants, with memories of the past, on complex networks. Agents play repeated games with a three-part Markovian strategy that allows us to separate the cooperation phenomenon into trust, reciprocity, and forgiveness characteristics. Our results show that networks matter most when agents gain the most by acting in a selfish manner, irrespective of how much they may lose by cooperating; since the context provided by neighborhoods inhibits greedy impulses that agents otherwise succumb to in isolation. Network modularity is the most important driver of cooperation emergence in these high-stakes games. However, modularity fails to tell the complete story. Modular scale-free graphs impede cooperation when close coordination is required, partially due to the acyclic nature of scale-free network models. To achieve the highest cooperation in diverse social conditions, both high modularity, low connectivity within modules, and a rich network of long cycles become important. With these findings in hand, we study the influence of networks on coordination and competition within the federal health care insurance exchange. In this applied study, we show that systemic health care coordination is encouraged by the emergent insurance network. The network helps underpin the viability of the exchange and provides an environment of stronger competition once a critical-mass of insurers have entered the market.
How Should Students Learn in the School Science Laboratory? The Benefits of Cooperative Learning
NASA Astrophysics Data System (ADS)
Raviv, Ayala; Cohen, Sarit; Aflalo, Ester
2017-07-01
Despite the inherent potential of cooperative learning, there has been very little research into its effectiveness in middle school laboratory classes. This study focuses on an empirical comparison between cooperative learning and individual learning in the school science laboratory, evaluating the quality of learning and the students' attitudes. The research included 67 seventh-grade students who undertook four laboratory experiments on the subject of "volume measuring skills." Each student engaged both in individual and cooperative learning in the laboratory, and the students wrote individual or group reports, accordingly. A total of 133 experiment reports were evaluated, 108 of which also underwent textual analysis. The findings show that the group reports were superior, both in terms of understanding the concept of "volume" and in terms of acquiring skills for measuring volume. The students' attitudes results were statistically significant and demonstrated that they preferred cooperative learning in the laboratory. These findings demonstrate that science teachers should be encouraged to implement cooperative learning in the laboratory. This will enable them to improve the quality and efficiency of laboratory learning while using a smaller number of experimental kits. Saving these expenditures, together with the possibility to teach a larger number of students simultaneously in the laboratory, will enable greater exposure to learning in the school science laboratory.
NASA Astrophysics Data System (ADS)
Tanimoto, Jun; Sagara, Hirokji
2015-11-01
We built a new indirect reciprocity model based on binary image scores, where an agent's strategy and norm co-evolve. The norm, meaning what behavior is evaluated as "good" or "bad," stipulates how image scores of two agents playing a game is altered, which has been presumed to be a fixed value in most previous studies. Also, unlike former studies, our model allows an agent to play with an agent who has a different norm. This point of relaxing the freedom of the model pulls down cooperation level vis-à-vis the case where an agent always plays with another one having same norm. However, it is observed that a rather larger dilemma shows robust cooperation establishing compared with a smaller dilemma, since a norm that punishes a so-called second-order free-rider is prompted. To encourage the evolution of norms to be able to punish second-order free-riders, a society needs a small number of defectors. This is elucidated by the fact that cases with action error are more cooperative than those without action error.
Group learning versus local learning: Which is prefer for public cooperation?
NASA Astrophysics Data System (ADS)
Yang, Shi-Han; Song, Qi-Qing
2018-01-01
We study the evolution of cooperation in public goods games on various graphs, focusing on the effects that are brought by different kinds of strategy donors. This highlights a basic feature of a public good game, for which there exists a remarkable difference between the interactive players and the players who are imitated. A player can learn from all the groups where the player is a member or from the typically local nearest neighbors, and the results show that the group learning rules have better performance in promoting cooperation on many networks than the local learning rules. The heterogeneity of networks' degree may be an effective mechanism for harvesting the cooperation expectation in many cases, however, we find that heterogeneity does not definitely mean the high frequency of cooperators in a population under group learning rules. It was shown that cooperators always hardly evolve whenever the interaction and the replacement do not coincide for evolutionary pairwise dilemmas on graphs, while for PG games we find that breaking the symmetry is conducive to the survival of cooperators.
Sigmund, K; Hauert, C; Nowak, M A
2001-09-11
Minigames capturing the essence of Public Goods experiments show that even in the absence of rationality assumptions, both punishment and reward will fail to bring about prosocial behavior. This result holds in particular for the well-known Ultimatum Game, which emerges as a special case. But reputation can induce fairness and cooperation in populations adapting through learning or imitation. Indeed, the inclusion of reputation effects in the corresponding dynamical models leads to the evolution of economically productive behavior, with agents contributing to the public good and either punishing those who do not or rewarding those who do. Reward and punishment correspond to two types of bifurcation with intriguing complementarity. The analysis suggests that reputation is essential for fostering social behavior among selfish agents, and that it is considerably more effective with punishment than with reward.
Sigmund, Karl; Hauert, Christoph; Nowak, Martin A.
2001-01-01
Minigames capturing the essence of Public Goods experiments show that even in the absence of rationality assumptions, both punishment and reward will fail to bring about prosocial behavior. This result holds in particular for the well-known Ultimatum Game, which emerges as a special case. But reputation can induce fairness and cooperation in populations adapting through learning or imitation. Indeed, the inclusion of reputation effects in the corresponding dynamical models leads to the evolution of economically productive behavior, with agents contributing to the public good and either punishing those who do not or rewarding those who do. Reward and punishment correspond to two types of bifurcation with intriguing complementarity. The analysis suggests that reputation is essential for fostering social behavior among selfish agents, and that it is considerably more effective with punishment than with reward. PMID:11553811
Jigsaw Cooperative Learning: Acid-Base Theories
ERIC Educational Resources Information Center
Tarhan, Leman; Sesen, Burcin Acar
2012-01-01
This study focused on investigating the effectiveness of jigsaw cooperative learning instruction on first-year undergraduates' understanding of acid-base theories. Undergraduates' opinions about jigsaw cooperative learning instruction were also investigated. The participants of this study were 38 first-year undergraduates in chemistry education…
Social Networks-Based Adaptive Pairing Strategy for Cooperative Learning
ERIC Educational Resources Information Center
Chuang, Po-Jen; Chiang, Ming-Chao; Yang, Chu-Sing; Tsai, Chun-Wei
2012-01-01
In this paper, we propose a grouping strategy to enhance the learning and testing results of students, called Pairing Strategy (PS). The proposed method stems from the need of interactivity and the desire of cooperation in cooperative learning. Based on the social networks of students, PS provides members of the groups to learn from or mimic…
ERIC Educational Resources Information Center
Schoor, Cornelia; Narciss, Susanne; Körndle, Hermann
2015-01-01
This article reviews the terms and concepts that have been used for describing regulation of learning during cooperative and collaborative learning and suggests differentiating them on the basis of which parts of a regulatory feedback loop model are being shared. During cooperative and collaborative learning, not only self-regulation but also the…
ERIC Educational Resources Information Center
Andre, Amael; Louvet, Benoit; Deneuve, Pascale
2013-01-01
The aim of this research was to study the impact of cooperative learning on changes in cooperative behaviours and acceptance amongst pupils with learning disabilities related to risk-taking. One hundred and sixty-eight French first year middle school pupils participated in this study. Thirty-six pupils with learning disabilities were mainstreamed…
ERIC Educational Resources Information Center
Chen, Qiuxian; Liu, Yuan
2017-01-01
Informed by emergent learning theories and multiple evidenced benefits, cooperative learning has developed into a widely accepted organization mode of class in the Western context. For the same reason, cooperative learning is transferred, during the past decade, into classrooms of Confucian Heritage Culture (CHC) contexts. Concerns, however, are…
NASA Astrophysics Data System (ADS)
Gafford, Kenneth Allen
The differences between two experimental groups using cooperative learning activities were examined during the initial eight weeks of a biology course. While both groups participated in the same cooperative learning activities, only one group received deliberate instructor interventions. These interventions were designed to help students think positively about working in cooperative learning groups while alleviating anxiety toward cooperative learning. Initially, all students were uncomfortable and reported trouble staying focused during cooperative learning. The final quantitative results indicated that the group who received the interventions had more positive perceptions toward cooperative learning but their attitudes and anxiety levels showed no significant difference from the non-intervention group; advantages occurred specifically for thinking on task, student engagement, perceptions of task importance, and best levels of challenge and skill. Intervention participants had a higher mean score on the class exam administered during the eight-week study but it was not significantly different. Qualitative data revealed that the intervention participants experienced greater overall consequence, mainly in the areas of engagement, believed skill, and self-worth. According to flow theory, when students are actively engaged, the probability of distraction by fears and unrelated ideas is reduced, for instance, how they are perceived by others. These findings corroborate constructivist theories, particularly the ones relative to students working in cooperative groups. Researchers should continue to use appropriate methods to further explore how students of various abilities and developmental levels are affected by their perceptions, attitudes, and anxieties relative to different instructional contexts. Given the highly contextual nature of students' learning and motivation, researchers need to examine a number of meaningful questions by comparing students' perceptions, attitudes, and anxieties toward cooperative learning with other methods of instruction.
Cooperative Learning in Industrial-sized Biology Classes
Chang, Shu-Mei; Brickman, Marguerite
2007-01-01
This study examined the impact of cooperative learning activities on student achievement and attitudes in large-enrollment (>250) introductory biology classes. We found that students taught using a cooperative learning approach showed greater improvement in their knowledge of course material compared with students taught using a traditional lecture format. In addition, students viewed cooperative learning activities highly favorably. These findings suggest that encouraging students to work in small groups and improving feedback between the instructor and the students can help to improve student outcomes even in very large classes. These results should be viewed cautiously, however, until this experiment can be replicated with additional faculty. Strategies for potentially improving the impact of cooperative learning on student achievement in large courses are discussed. PMID:17548878
Cooperative learning in industrial-sized biology classes.
Armstrong, Norris; Chang, Shu-Mei; Brickman, Marguerite
2007-01-01
This study examined the impact of cooperative learning activities on student achievement and attitudes in large-enrollment (>250) introductory biology classes. We found that students taught using a cooperative learning approach showed greater improvement in their knowledge of course material compared with students taught using a traditional lecture format. In addition, students viewed cooperative learning activities highly favorably. These findings suggest that encouraging students to work in small groups and improving feedback between the instructor and the students can help to improve student outcomes even in very large classes. These results should be viewed cautiously, however, until this experiment can be replicated with additional faculty. Strategies for potentially improving the impact of cooperative learning on student achievement in large courses are discussed.
ERIC Educational Resources Information Center
Zacharia, Zacharias C.; Xenofontos, Nikoletta A.; Manoli, Constantinos C.
2011-01-01
The goal of this study was to investigate the effect of two different cooperative learning approaches, namely, the Jigsaw Cooperative Approach (JCA) and the Traditional Cooperative Approach (TCA), on students' learning and practices/actions within the context of a WebQuest science investigation. Another goal of this study was to identify possible…
Cooperative Learning in Elementary Schools.
ERIC Educational Resources Information Center
Hadderman, Margaret
1992-01-01
Cooperative learning is being recommended as a solution for numerous education problems, from enhancing disadvantaged children's self-esteem to ensuring academic success for all students. Cooperative learning has great potential as a supplement or alternative to traditional teaching methods when students are adequately socialized and motivated.…
Cooperative Learning: A Practical Application Strategy.
ERIC Educational Resources Information Center
Platte, Stephen A.
1991-01-01
Discusses a method of finding and implementing articles from among the sizeable amount of professional literature regarding cooperative learning. Describes the application of three teaching models (1) jigsaw, (2) group investigation, and (3) cybernetics that apply cooperative learning to elementary and secondary social studies instruction. (SG)
Cooperative Learning in Communication Courses.
ERIC Educational Resources Information Center
Lynch, Patricia L.; And Others
This paper presents 14 cooperative learning lesson plans and related handouts suitable for use in communication courses. The paper begins with 8 handouts that deal with objectives; criteria; differences between the old paradigm and the new paradigm based on cooperative learning; positive interdependences; group differences between cooperative…
Impact of Cooperative Learning on Naval Air Traffic Controller Training.
ERIC Educational Resources Information Center
Holubec, Edythe; And Others
1993-01-01
Reports on a study of the impact of cooperative learning techniques, compared with traditional Navy instructional methods, on Navy air traffic controller trainees. Finds that cooperative learning methods improved higher level reasoning skills and resulted in no failures among the trainees. (CFR)
Jurkowski, Susanne; Hänze, Martin
2015-09-01
Transactive communication means referring to and building on a learning partner's idea, by, for example, extending the partner's idea or interlinking the partner's idea with an idea of one's own. This transforms the partner's idea into a more elaborate one. Previous research found a positive relationship between students' transactive communication and their learning results when working in small groups. To increase the benefits of cooperation, we developed and tested a module for training students in transactive communication. We assumed that this training would enhance students' transactive communication and also increase their knowledge acquisition during cooperative learning. Further, we distinguished between an actor's transactive communication and a learning partner's transactive communication and expected both to be positively associated with an actor's knowledge acquisition. Participants were 80 university students. In an experiment with pre- and post-test measurements, transactive communication was measured by coding students' communication in a cooperative learning situation before training and in another cooperative learning situation after training. For the post-test cooperative learning situation, knowledge was pre-tested and post-tested. Trained students outperformed controls in transactive communication and in knowledge acquisition. Positive training effects on actors' knowledge acquisition were partially mediated by the improved actors' transactive communication. Moreover, actors' knowledge acquisition was positively influenced by learning partners' transactive communication. Results show a meaningful increase in the benefits of cooperation through the training in transactive communication. Furthermore, findings indicate that students benefit from both elaborating on their partner's ideas and having their own ideas elaborated on. © 2015 The British Psychological Society.
Group Cooperation without Group Selection: Modest Punishment Can Recruit Much Cooperation.
Krasnow, Max M; Delton, Andrew W; Cosmides, Leda; Tooby, John
2015-01-01
Humans everywhere cooperate in groups to achieve benefits not attainable by individuals. Individual effort is often not automatically tied to a proportionate share of group benefits. This decoupling allows for free-riding, a strategy that (absent countermeasures) outcompetes cooperation. Empirically and formally, punishment potentially solves the evolutionary puzzle of group cooperation. Nevertheless, standard analyses appear to show that punishment alone is insufficient, because second-order free riders (those who cooperate but do not punish) can be shown to outcompete punishers. Consequently, many have concluded that other processes, such as cultural or genetic group selection, are required. Here, we present a series of agent-based simulations that show that group cooperation sustained by punishment easily evolves by individual selection when you introduce into standard models more biologically plausible assumptions about the social ecology and psychology of ancestral humans. We relax three unrealistic assumptions of past models. First, past models assume all punishers must punish every act of free riding in their group. We instead allow punishment to be probabilistic, meaning punishers can evolve to only punish some free riders some of the time. This drastically lowers the cost of punishment as group size increases. Second, most models unrealistically do not allow punishment to recruit labor; punishment merely reduces the punished agent's fitness. We instead realistically allow punished free riders to cooperate in the future to avoid punishment. Third, past models usually restrict agents to interact in a single group their entire lives. We instead introduce realistic social ecologies in which agents participate in multiple, partially overlapping groups. Because of this, punitive tendencies are more expressed and therefore more exposed to natural selection. These three moves toward greater model realism reveal that punishment and cooperation easily evolve by direct selection--even in sizeable groups.
Multi-Agent Cooperative Target Search
Hu, Jinwen; Xie, Lihua; Xu, Jun; Xu, Zhao
2014-01-01
This paper addresses a vision-based cooperative search for multiple mobile ground targets by a group of unmanned aerial vehicles (UAVs) with limited sensing and communication capabilities. The airborne camera on each UAV has a limited field of view and its target discriminability varies as a function of altitude. First, by dividing the whole surveillance region into cells, a probability map can be formed for each UAV indicating the probability of target existence within each cell. Then, we propose a distributed probability map updating model which includes the fusion of measurement information, information sharing among neighboring agents, information decay and transmission due to environmental changes such as the target movement. Furthermore, we formulate the target search problem as a multi-agent cooperative coverage control problem by optimizing the collective coverage area and the detection performance. The proposed map updating model and the cooperative control scheme are distributed, i.e., assuming that each agent only communicates with its neighbors within its communication range. Finally, the effectiveness of the proposed algorithms is illustrated by simulation. PMID:24865884
ERIC Educational Resources Information Center
Johnson, Katryna
2013-01-01
Employers today expect that students will be able to work in teams. Cooperative learning theory addresses how skills such as decision making, problem solving and communication can be learned by individuals in group settings. This paper discusses how cooperative learning can be used in an online and blended environment to increase active learning…
ERIC Educational Resources Information Center
Altun, Sertel
2015-01-01
The purpose of this study is to investigate the efficiency of learning plan implementation prepared with the cooperative learning method. In particular, the study addresses the effect of cooperative learning on students' achievement and their views regarding the "Systems in Our Body" unit of the 6th grade Science and Technology lesson.…
ERIC Educational Resources Information Center
Orprayoon, Soudaya
2014-01-01
This study reported on the results of a quasi-experimental research to explore the effectiveness of using a cooperative learning method on students' academic achievement, their group working behavior and their perception and opinions towards cooperative learning in a Modern French Literature course. The sample included twelve junior students…
ERIC Educational Resources Information Center
Bolukbas, Fatma; Keskin, Funda; Polat, Mustafa
2011-01-01
Cooperative learning is a process through which students with various abilities, gender, nationalities and different level of social skills carry out their learning process by working in small groups and helping each other. Cooperative learning is a pedagogical use of small groups which enable students to maximize both their own and others'…
Computers and Cooperative Learning. Tech Use Guide: Using Computer Technology.
ERIC Educational Resources Information Center
Council for Exceptional Children, Reston, VA. Center for Special Education Technology.
This guide focuses on the use of computers and cooperative learning techniques in classrooms that include students with disabilities. The guide outlines the characteristics of cooperative learning such as goal interdependence, individual accountability, and heterogeneous groups, emphasizing the value of each group member. Several cooperative…
Constructing a Cooperative Distance Learning System: The CORAL Experience.
ERIC Educational Resources Information Center
Chou, Chien; Sun, Chuen-Tsai
1996-01-01
Describes the development of the Cooperative Remotely Accessible Learning (CORAL) system on the Internet at National Chiao Tung University (Taiwan) that promotes cooperative constructive distance learning and provides the first comprehensive and networked courseware written in Chinese. Results of formative evaluation are described and future…
Early Identification of Ineffective Cooperative Learning Teams
ERIC Educational Resources Information Center
Hsiung, C .M.; Luo, L. F.; Chung, H. C.
2014-01-01
Cooperative learning has many pedagogical benefits. However, if the cooperative learning teams become ineffective, these benefits are lost. Accordingly, this study developed a computer-aided assessment method for identifying ineffective teams at their early stage of dysfunction by using the Mahalanobis distance metric to examine the difference…
Emergence of cooperation as a non-equilibrium transition in noisy spatial games
NASA Astrophysics Data System (ADS)
Menon, Shakti N.; Sasidevan, V.; Sinha, Sitabhra
2018-04-01
The emergence of cooperation among selfish agents that have no incentive to cooperate is a non-trivial phenomenon that has long intrigued biologists, social scientists and physicists. The iterated Prisoner's Dilemma (IPD) game provides a natural framework for investigating this phenomenon. Here, agents repeatedly interact with their opponents, and their choice to either cooperate or defect is determined at each round by knowledge of the previous outcomes. The spatial version of IPD, where each agent interacts only with their nearest neighbors on a specified connection topology, has been used to study the evolution of cooperation under conditions of bounded rationality. In this paper we study how the collective behavior that arises from the simultaneous actions of the agents (implemented by synchronous update) is affected by (i) uncertainty, measured as noise intensity K, (ii) the payoff b, quantifying the temptation to defect and (iii) the nature of the underlying connection topology. In particular, we study the phase transitions between states characterized by distinct collective dynamics as the connection topology is gradually altered from a two-dimensional lattice to a random network. This is achieved by rewiring links between agents with a probability p following the small-world network construction paradigm. On crossing a specified threshold value of b, the game switches from being Prisoner's Dilemma, characterized by a unique equilibrium, to Stag Hunt, a well-known coordination game having multiple equilibria. We observe that the system can exhibit three collective states corresponding to a pair of absorbing states (viz., all agents cooperating or defecting) and a fluctuating state characterized by agents switching intermittently between cooperation and defection. As noise and temptation can be interpreted as temperature and an external field respectively, a strong analogy can be drawn between the phase diagrams of such games with that of interacting spin systems. Considering the 3-dimensional p-K-b parameter space allows us to investigate the different phase transitions that occur between these collective states and characterize them using finite-size scaling. We find that the values of the critical exponents depend on the connection topology and are different from the Directed Percolation (DP) universality class.
An Institutional Mechanism for Assortment in an Ecology of Games
Smaldino, Paul E.; Lubell, Mark
2011-01-01
Recent research has revived Long's “ecology of games” model to analyze how social actors cooperate in the context of multiple political and social games. However, there is still a paucity of theoretical work that considers the mechanisms by which large-scale cooperation can be promoted in a dynamic institutional landscape, in which actors can join new games and leave old ones. This paper develops an agent-based model of an ecology of games where agents participate in multiple public goods games. In addition to contribution decisions, the agents can leave and join different games, and these processes are de-coupled. We show that the payoff for cooperation is greater than for defection when limits to the number of actors per game (“capacity constraints”) structure the population in ways that allow cooperators to cluster, independent of any complex individual-level mechanisms such as reputation or punishment. Our model suggests that capacity constraints are one effective mechanism for producing positive assortment and increasing cooperation in an ecology of games. The results suggest an important trade-off between the inclusiveness of policy processes and cooperation: Fully inclusive policy processes reduce the chances of cooperation. PMID:21850249
Toward Agent-Based Models of the Development And Evolution of Business Relations and Networks
NASA Astrophysics Data System (ADS)
Wilkinson, Ian F.; Marks, Robert E.; Young, Louise
Firms achieve competitive advantage in part through the development of cooperative relations with other firms and organisations. We describe a program of research designed to map and model the development of cooperative inter-firm relations, including the processes and paths by which firms may evolve from adversarial to more cooperative relations. Narrative-event-history methods will be used to develop stylised histories of the emergence of business relations in various contexts and to identify relevant causal mechanisms to be included in the agent-based models of relationship and network evolution. The relationship histories will provide the means of assuring the agent-based models developed.
Bee Swarm Optimization for Medical Web Information Foraging.
Drias, Yassine; Kechid, Samir; Pasi, Gabriella
2016-02-01
The present work is related to Web intelligence and more precisely to medical information foraging. We present here a novel approach based on agents technology for information foraging. An architecture is proposed, in which we distinguish two important phases. The first one is a learning process for localizing the most relevant pages that might interest the user. This is performed on a fixed instance of the Web. The second takes into account the openness and the dynamicity of the Web. It consists on an incremental learning starting from the result of the first phase and reshaping the outcomes taking into account the changes that undergoes the Web. The whole system offers a tool to help the user undertaking information foraging. We implemented the system using a group of cooperative reactive agents and more precisely a colony of artificial bees. In order to validate our proposal, experiments were conducted on MedlinePlus, a benchmark dedicated for research in the domain of Health. The results are promising either for those related to Web regularities and for the response time, which is very short and hence complies the real time constraint.
The effect of problem-based learning with cooperative-learning strategies in surgery clerkships.
Turan, Sevgi; Konan, Ali; Kılıç, Yusuf Alper; Özvarış, Şevkat Bahar; Sayek, Iskender
2012-01-01
Cooperative learning is used often as part of the problem-based learning (PBL) process. But PBL does not demand that students work together until all individuals master the material or share the rewards for their work together. A cooperative learning and assessment structure was introduced in a PBL course in 10-week surgery clerkship, and the difference was evaluated between this method and conventional PBL in an acute abdominal pain module. An experimental design was used. No significant differences in achievement were found between the study and control group. Both the study and control group students who scored low on the pretest made the greatest gains at the end of the education. Students in the cooperative learning group felt that cooperation helped them learn, it was fun to study and expressed satisfaction, but they complained about the amount of time the groups had to work together, difficulties of group work, and noise during the sessions. This study evaluated the impact of a cooperative learning technique (student team learning [STL]) in PBL and found no differences. The study confirms that a relationship exists between allocated study time and achievement, and student's satisfaction about using this technique. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.
Vygotsky's Zone of Proximal Development as a Theoretical Foundation for Cooperative Learning.
ERIC Educational Resources Information Center
Doolittle, Peter E.
1997-01-01
Discusses integration of Lev Vygotsky's theory of the Zone of Proximal Development (ZPD) with the instructional strategy of cooperative learning. ZPD provides a conceptual basis for explaining the five basic tenets of cooperative learning: positive interdependence; face-to-face interaction; individual accountability; small-group and interpersonal…
Murder They Wrote. A Cross-Curricular Cooperative Learning Experience.
ERIC Educational Resources Information Center
Gaither, Linda
This document contains a cross-curricular cooperative learning experience that is designed to give high school students career and technical educational experiences in the areas of forensic sciences and criminalistics by doing the forensic work to "solve" a fictitious murder. The activities included in the cooperative learning experience…
Adapting Cooperative Learning and Embedding It into Holistic Language Usage.
ERIC Educational Resources Information Center
Bailey, Dora L.; Ginnetti, Philip
Class collaboration and small group composition illustrate the embedding of cooperative learning theory in whole language classroom events. Through this experience all students participate in active learning. The teacher has a weighty role in decision making, setting of the lesson, assigning roles, and monitoring segments of cooperative learning…
Cooperative Learning Principles Enhance Online Interaction
ERIC Educational Resources Information Center
Jacobs, George; Seow, Peter
2014-01-01
This paper describes eight principles that can be used to promote cooperative interactions among students working in online environments. The principles derive from a well-established approach to education, known variously as cooperative learning and collaborative learning. Each principle is explained as to what it means, why it is important and…
Readings in Cooperative Learning for Undergraduate Mathematics. MAA Notes No. 44.
ERIC Educational Resources Information Center
Dubinsky, Ed, Ed.; Mathews, David, Ed.; Reynolds, Barbara E., Ed.
Seventeen papers that relate to the use of cooperative learning activities in undergraduate mathematics courses are contained within this collection. Papers were selected by the staff of Project CLUME (Cooperative Learning in Undergraduate Mathematics Education) and organized into categories pertaining to constructivism and the teachers' role,…
Cooperative Learning: A Pedagogy to Improve Students' Generic Skills?
ERIC Educational Resources Information Center
Ballantine, Joan; Larres, Patricia McCourt
2007-01-01
Purpose: The objective of this study is two-fold. First, it provides guidance to educators and trainers on establishing a cooperative learning environment. Second, it examines final-year undergraduate accounting students' opinions on the effectiveness of a cooperative learning environment in delivering generic skills for their future professional…
Integrating the Core Curriculum through Cooperative Learning. Lesson Plans for Teachers.
ERIC Educational Resources Information Center
Winget, Patricia L., Ed.
Cooperative learning strategies are used to facilitate the integration of multicultural and multi-ability level students into California regular education classrooms. This handbook is a sampling of innovative lesson plans using cooperative learning activities developed by teachers to incorporate the core curriculum into their instruction. Three…
Cooperative Learning and Gifted Students: Report on Five Case Studies.
ERIC Educational Resources Information Center
Coleman, Mary Ruth; And Others
This study examined cooperative learning (CL) programs that were successfully meeting the needs of gifted students and identified factors critical to this success. Of 19 programs nominated as models of cooperative learning, 5 sites were selected and visited: Wilton Public Schools, Connecticut; Glenville Elementary School, Connecticut; Mary Taylor…
Towards effective payoffs in the prisoner’s dilemma game on scale-free networks
NASA Astrophysics Data System (ADS)
Szolnoki, Attila; Perc, Matjaž; Danku, Zsuzsa
2008-03-01
We study the transition towards effective payoffs in the prisoner's dilemma game on scale-free networks by introducing a normalization parameter guiding the system from accumulated payoffs to payoffs normalized with the connectivity of each agent. We show that during this transition the heterogeneity-based ability of scale-free networks to facilitate cooperative behavior deteriorates continuously, eventually collapsing with the results obtained on regular graphs. The strategy donations and adaptation probabilities of agents with different connectivities are studied. Results reveal that strategies generally spread from agents with larger towards agents with smaller degree. However, this strategy adoption flow reverses sharply in the fully normalized payoff limit. Surprisingly, cooperators occupy the hubs even if the averaged cooperation level due to partly normalized payoffs is moderate.
Natural selection of memory-one strategies for the iterated prisoner's dilemma.
Kraines, D P; Kraines, V Y
2000-04-21
In the iterated Prisoner's Dilemma, mutually cooperative behavior can become established through Darwinian natural selection. In simulated interactions of stochastic memory-one strategies for the Iterated Prisoner's Dilemma, Nowak and Sigmund discovered that cooperative agents using a Pavlov (Win-Stay Lose-Switch) type strategy eventually dominate a random population. This emergence follows more directly from a deterministic dynamical system based on differential reproductive success or natural selection. When restricted to an environment of memory-one agents interacting in iterated Prisoner's Dilemma games with a 1% noise level, the Pavlov agent is the only cooperative strategy and one of very few others that cannot be invaded by a similar strategy. Pavlov agents are trusting but no suckers. They will exploit weakness but repent if punished for cheating. Copyright 2000 Academic Press.
NASA Astrophysics Data System (ADS)
Patkin, M. L.; Rogachev, G. N.
2018-02-01
A method for constructing a multi-agent control system for mobile robots based on training with reinforcement using deep neural networks is considered. Synthesis of the management system is proposed to be carried out with reinforcement training and the modified Actor-Critic method, in which the Actor module is divided into Action Actor and Communication Actor in order to simultaneously manage mobile robots and communicate with partners. Communication is carried out by sending partners at each step a vector of real numbers that are added to the observation vector and affect the behaviour. Functions of Actors and Critic are approximated by deep neural networks. The Critics value function is trained by using the TD-error method and the Actor’s function by using DDPG. The Communication Actor’s neural network is trained through gradients received from partner agents. An environment in which a cooperative multi-agent interaction is present was developed, computer simulation of the application of this method in the control problem of two robots pursuing two goals was carried out.
ERIC Educational Resources Information Center
Johnson, Shawn Lamont L.
2013-01-01
This study examined the impact that cooperative learning and traditional learning have on the academic performance of elementary school students in rural school districts. Cooperative learning is considered a typical model that can maximize the effectiveness of constructivism. Slavin (1991, p. 71) completed a synthesis of research on cooperative…
ERIC Educational Resources Information Center
Chia-Ling, Hsu; Ya-Fung, Chang
2017-01-01
This study is to investigate the effect of the cooperation learning between the high achievement students and the low achievement students. Nowadays, the influences of the flipped classroom are all over the world in the secondary school education. Therefore, the cooperative learning becomes hot teaching strategies again. However, the learning…
ERIC Educational Resources Information Center
Casey, Ashley; Goodyear, Victoria A.
2015-01-01
Physical learning, cognitive learning, social learning, and affective learning are positioned as the legitimate learning outcomes of physical education. It has been argued that these four learning outcomes go toward facilitating students' engagement with the physically active life (Bailey et al., 2009; Kirk, 2013). With Cooperative Learning…
Social learning in cooperative dilemmas
Lamba, Shakti
2014-01-01
Helping is a cornerstone of social organization and commonplace in human societies. A major challenge for the evolutionary sciences is to explain how cooperation is maintained in large populations with high levels of migration, conditions under which cooperators can be exploited by selfish individuals. Cultural group selection models posit that such large-scale cooperation evolves via selection acting on populations among which behavioural variation is maintained by the cultural transmission of cooperative norms. These models assume that individuals acquire cooperative strategies via social learning. This assumption remains empirically untested. Here, I test this by investigating whether individuals employ conformist or payoff-biased learning in public goods games conducted in 14 villages of a forager–horticulturist society, the Pahari Korwa of India. Individuals did not show a clear tendency to conform or to be payoff-biased and are highly variable in their use of social learning. This variation is partly explained by both individual and village characteristics. The tendency to conform decreases and to be payoff-biased increases as the value of the modal contribution increases. These findings suggest that the use of social learning in cooperative dilemmas is contingent on individuals' circumstances and environments, and question the existence of stably transmitted cultural norms of cooperation. PMID:24870041
Impact of Social Reward on the Evolution of the Cooperation Behavior in Complex Networks
NASA Astrophysics Data System (ADS)
Wu, Yu'E.; Chang, Shuhua; Zhang, Zhipeng; Deng, Zhenghong
2017-01-01
Social reward, as a significant mechanism explaining the evolution of cooperation, has attracted great attention both theoretically and experimentally. In this paper, we study the evolution of cooperation by proposing a reward model in network population, where a third strategy, reward, as an independent yet particular type of cooperation is introduced in 2-person evolutionary games. Specifically, a new kind of role corresponding to reward strategy, reward agents, is defined, which is aimed at increasing the income of cooperators by applying to them a social reward. Results from numerical simulations show that consideration of social reward greatly promotes the evolution of cooperation, which is confirmed for different network topologies and two evolutionary games. Moreover, we explore the microscopic mechanisms for the promotion of cooperation in the three-strategy model. As expected, the reward agents play a vital role in the formation of cooperative clusters, thus resisting the aggression of defectors. Our research might provide valuable insights into further exploring the nature of cooperation in the real world.
Impact of Social Reward on the Evolution of the Cooperation Behavior in Complex Networks
Wu, Yu’e; Chang, Shuhua; Zhang, Zhipeng; Deng, Zhenghong
2017-01-01
Social reward, as a significant mechanism explaining the evolution of cooperation, has attracted great attention both theoretically and experimentally. In this paper, we study the evolution of cooperation by proposing a reward model in network population, where a third strategy, reward, as an independent yet particular type of cooperation is introduced in 2-person evolutionary games. Specifically, a new kind of role corresponding to reward strategy, reward agents, is defined, which is aimed at increasing the income of cooperators by applying to them a social reward. Results from numerical simulations show that consideration of social reward greatly promotes the evolution of cooperation, which is confirmed for different network topologies and two evolutionary games. Moreover, we explore the microscopic mechanisms for the promotion of cooperation in the three-strategy model. As expected, the reward agents play a vital role in the formation of cooperative clusters, thus resisting the aggression of defectors. Our research might provide valuable insights into further exploring the nature of cooperation in the real world. PMID:28112276
Cooperation in the Mixed Population Minority Game with Imitation
NASA Astrophysics Data System (ADS)
Quan, Hong-Jun; Wang, Bing-Hong; Hui, Pak-Ming; Luo, Xiao-Shu
2001-09-01
After studying the effects of imitation on the mixed population of adaptive agents with different memories competing in a minority game, we have found that when the pure population lies in a crowded regime, the introduction of imitation can considerably improve cooperation among agents in a money market.
The impact of size of cooperative group on achievement, social support, and self-esteem.
Bertucci, Andrea; Conte, Stella; Johnson, David W; Johnson, Roger T
2010-01-01
The effect of cooperative learning in pairs and groups of 4 and in individualistic learning were compared on achievement, social support, and self-esteem. Sixty-two Italian 7th-grade students with no previous experience with cooperative learning were assigned to conditions on a stratified random basis controlling for ability, gender, and self-esteem. Students participated in 1 instructional unit for 90 min for 6 instructional days during a period of about 6 weeks. The results indicate that cooperative learning in pairs and 4s promoted higher achievement and greater academic support from peers than did individualistic learning. Students working in pairs developed a higher level of social self-esteem than did students learning in the other conditions.
NASA Astrophysics Data System (ADS)
Leasa, Marleny; Duran Corebima, Aloysius
2017-01-01
Learning models and academic ability may affect students’ achievement in science. This study, thus aimed to investigate the effect of numbered heads together (NHT) cooperative learning model on elementary students’ cognitive achievement in natural science. This study employed a quasi-experimental design with pretest-posttest non-equivalent control group with 2 x 2 factorial. There were two learning models compared NHT and the conventional, and two academic ability high and low. The results of ana Cova test confirmed the difference in the students’ cognitive achievement based on learning models and general academic ability. However, the interaction between learning models and academic ability did not affect the students’ cognitive achievement. In conclusion, teachers are strongly recommended to be more creative in designing learning using other types of cooperative learning models. Also, schools are required to create a better learning environment which is more cooperative to avoid unfair competition among students in the classroom and as a result improve the students’ academic ability. Further research needs to be conducted to explore the contribution of other aspects in cooperative learning toward cognitive achievement of students with different academic ability.
The Practices of Student Network as Cooperative Learning in Ethiopia
ERIC Educational Resources Information Center
Reda, Weldemariam Nigusse; Hagos, Girmay Tsegay
2015-01-01
Student network is a teaching strategy introduced as cooperative learning to all educational levels above the upper primary schools (grade 5 and above) in Ethiopia. The study was, therefore, aimed at investigating to what extent the student network in Ethiopia is actually practiced in line with the principles of cooperative learning. Consequently,…
Moving beyond Lecture: Cooperative Learning and the Secondary Social Studies Classroom
ERIC Educational Resources Information Center
Nagel, Paul
2008-01-01
Coke (2005) argues that vertical cooperative learning is needed between elementary and secondary school teachers. While this would help with the transition between grades and subjects, it is dependent upon school principals to implement these cooperative learning meetings. Drawing upon prior experience, the author advocates that pre-service social…
Structuring Cooperative Learning for Motivation and Conceptual Change in the Concepts of Mixtures
ERIC Educational Resources Information Center
Belge Can, Hatice; Boz, Yezdan
2016-01-01
This study investigates the effect of structuring cooperative learning based on conceptual change approach on grade 9 students' understanding the concepts of mixtures and their motivation, compared with traditional instruction. Among six classes of a high school, two of them were randomly assigned to cooperative learning group where students were…
Enhancing Student Performance through Cooperative Learning in Physical Sciences
ERIC Educational Resources Information Center
Gupta, Madan L.
2004-01-01
Students in a physical sciences course were introduced to cooperative learning at the University of Queensland, Gatton Campus. Groups of four to five students worked together in tutorial and practical sessions. Mid-term and practical examinations were abolished and 40% of total marks were allocated to the cooperative learning activities. A peer-…
Teachers' Reflections on Cooperative Learning: Issues of Implementation
ERIC Educational Resources Information Center
Gillies, Robyn M.; Boyle, Michael
2010-01-01
Cooperative learning (CL) is a well documented pedagogical practice that promotes academic achievement and socialization, yet many teachers struggle with implementing it in their classes. This study reports on the perceptions of 10, middle-year teachers who implemented cooperative learning in a unit of work across two school terms. Data from the…
Networking for English Literature Class: Cooperative Learning in Chinese Context
ERIC Educational Resources Information Center
Li, Huiyin
2017-01-01
This action research was conducted to investigate the efficacy of networking, an adjusted cooperative learning method employed in an English literature class for non-English majors in China. Questionnaire was administered online anonymously to college students after a 14-week cooperative learning in literature class in a Chinese university, aiming…
Developing Cooperative Learning in Initial Teacher Education: Indicators for Implementation
ERIC Educational Resources Information Center
Jolliffe, Wendy; Snaith, Jessica
2017-01-01
This paper examines the impact of supporting pre-service teachers to use cooperative learning in one initial teacher education institution in England. In a context where the government requires all teacher education to be "school-led" and where school partners do not commonly use cooperative learning (Baines, Rubie-Davies, and Blatchford…
Practicing What We Preach: Teacher Reflection Groups on Cooperative Learning
ERIC Educational Resources Information Center
Farrell, Thomas S. C.; Jacobs, George M.
2016-01-01
This article discusses the use of teacher reflection groups to aid teachers in their efforts to facilitate cooperative learning among their students. It is argued that these teacher reflection groups function best when they are organized with reference to eight cooperative learning principles. Furthermore, it is suggested that these reflective…
The Effect of Cooperative Learning on Middle School Math Students
ERIC Educational Resources Information Center
Remillard, Heather A.
2015-01-01
The purpose of this study was to explore cooperative learning and the impact on middle school students overall academic achievement. The study included 47 students from a small private school, ranging from grades sixth through eighth. The researcher examined student perception of cooperative learning, implementation process and the overall impact…
ERIC Educational Resources Information Center
Zapata, Julian Esteban
2007-01-01
This action research paper dealt with how to increase motivation towards English language learning through cooperative work in a public school in Medellín, Colombia. It was necessary to explore the concepts of teachers' beliefs, social teaching, collaborative and cooperative learning, to understand the conditions and activities that favored…
ERIC Educational Resources Information Center
Chatila, Hanadi; Al Husseiny, Fatima
2017-01-01
Recent research findings have shown that cooperative learning improves students' thinking skills as it allows them to communicate actively with each other (Johnson, Johnson and Smith, 2014). Therefore, cooperative learning has been proposed by many educators to be implemented in classrooms to produce lifelong learners and critical thinkers…
Cooperative Learning Effects on Achievement and Community of Inquiry in Online Education
ERIC Educational Resources Information Center
Oyarzun, Beth Allred; Morrison, Gary R.
2013-01-01
While distance education continues to grow in higher education, students express the concern that they feel isolated. The purpose of this study was to determine if the implementation of a cooperative learning strategy would affect social presence and achievement. Each group completed an individual assignment and a cooperative learning assignment…
Making Thinking Audible and Visible via Cooperative Learning
ERIC Educational Resources Information Center
Jacobs, George M.; Wang, Aili; Li, Xishuang; Xie, Yongye
2008-01-01
This chapter begins with a section that describes cooperative learning and explains eight cooperative learning principles. The second section looks briefly at why making thinking audible and visible enriches students' thinking. Making thinking audible means that teachers and students speak out what is going through their minds as they do a task,…
ERIC Educational Resources Information Center
Golub, Mijal; Buchs, Céline
2014-01-01
Research has underlined the necessity to prepare pupils to cooperate in order to boost cooperative learning benefits. However, this kind of training may appear very demanding. The present study aims to demonstrate that a short preparation related to social support and targeted cooperative rules relevant for the task increases constructive…
NASA Astrophysics Data System (ADS)
Latisma D, L.; Kurniawan, W.; Seprima, S.; Nirbayani, E. S.; Ellizar, E.; Hardeli, H.
2018-04-01
The purpose of this study was to see which method are well used with the Chemistry Triangle-oriented learning media. This quasi experimental research involves first grade of senior high school students in six schools namely each two SMA N in Solok city, in Pasaman and two SMKN in Pariaman. The sampling technique was done by Cluster Random Sampling. Data were collected by test and analyzed by one-way anova and Kruskall Wallish test. The results showed that the high school students in Solok learning taught by cooperative method is better than the results of student learning taught by conventional and Individual methods, both for students who have high initial ability and low-ability. Research in SMK showed that the overall student learning outcomes taught by conventional method is better than the student learning outcomes taught by cooperative and individual methods. Student learning outcomes that have high initial ability taught by individual method is better than student learning outcomes that are taught by cooperative method and for students who have low initial ability, there is no difference in student learning outcomes taught by cooperative, individual and conventional methods. Learning in high school in Pasaman showed no significant difference in learning outcomes of the three methods undertaken.
Cooperative Learning in Accounting Classes: A Case Study.
ERIC Educational Resources Information Center
Joyce, William B.
1999-01-01
Accounting student teams worked cooperatively on homework, problem solving, and test preparation. Group study helped retention, especially when interdependence was rewarded. Although they enjoyed cooperative learning, most students preferred individual study. (SK)
Cooperative Education, Experiential Learning, and Personal Knowledge.
ERIC Educational Resources Information Center
Abrahamsson, Kenneth, Ed.
Cooperative education, experiential learning, and personal knowledge are addressed in nine conference papers. Kenneth Abrahamsson considers the nature of experiential learning, the recognition of prior learning, educational design and the assessment of quality, and policy and practice for integrating learning and experience. Harry Hienemann…
ERIC Educational Resources Information Center
Abdullah, Sopiah; Shariff, Adilah
2008-01-01
The purpose of the study was to investigate the effects of inquiry-based computer simulation with heterogeneous-ability cooperative learning (HACL) and inquiry-based computer simulation with friendship cooperative learning (FCL) on (a) scientific reasoning (SR) and (b) conceptual understanding (CU) among Form Four students in Malaysian Smart…
Cooperative Learning and Web 2.0: A Social Perspective on Critical Thinking
ERIC Educational Resources Information Center
Schipke, Rae Carrington
2018-01-01
This article discusses how cooperative learning as a socioinstructional approach, relates to both socially-based emerging technologies (i.e. Web 2.0) and to critical thinking with respect to co-cognition. It begins with a discussion of the importance of connecting cooperative learning, Web 2.0, and critical thinking. This is followed by the need…
ERIC Educational Resources Information Center
EL-Deghaidy, Heba; Nouby, Ahmed
2008-01-01
This paper describes the results and implications of a study into the effectiveness of a blended e-learning cooperative approach (BeLCA) on Pre-Service Teacher's (PST) achievement, attitudes towards e-learning and cooperativeness. Quantitative and qualitative methodologies were used with participants of the study. Twenty-six science PSTs, enrolled…
Cooperative Learning in a Hong Kong Primary School: Perceptions, Problems and Accommodation
ERIC Educational Resources Information Center
Chan, Kam Wing
2014-01-01
Some educators may see cooperative learning as a Western pedagogy that is difficult to use in Eastern countries with a Confucian Heritage, while others argue that the philosophy of Confucius parallels the elements of cooperative learning. This article reports the key findings of a 2-year longitudinal study that investigated the perceptions of…
ERIC Educational Resources Information Center
Servetti, Sara
2010-01-01
This paper focuses on cooperative learning (CL) used as a correction and grammar revision technique and considers the data collected in six Italian parallel classes, three of which (sample classes) corrected mistakes and revised grammar through cooperative learning, while the other three (control classes) in a traditional way. All the classes…
The Impact of Cooperative Learning on Tertiary EFL Learners' Motivation
ERIC Educational Resources Information Center
Ning, Huiping; Hornby, Garry
2014-01-01
This study was aimed at investigating the impact of cooperative learning on the motivation of tertiary English learners. Participants were from two randomly assigned classes at a university in the north of China. A pre-test-post-test control group design was employed to compare the impact of the cooperative learning approach with that of…
ERIC Educational Resources Information Center
Park, Ji Yong; Nuntrakune, Tippawan
2013-01-01
The Thailand education reform adopted cooperative learning to improve the quality of education. However, it has been reported that the introduction and maintenance of cooperative learning has been difficult and uncertain because of the cultural differences. The study proposed a conceptual framework developed based on making a connection between…
ERIC Educational Resources Information Center
Buchs, Céline; Gilles, Ingrid; Antonietti, Jean-Philippe; Butera, Fabrizio
2016-01-01
Despite the potential benefits of cooperative learning at university, its implementation is challenging. Here, we propose a theory-based 90-min intervention with 185 first-year psychology students in the challenging domain of statistics, consisting of an exercise phase and an individual learning post-test. We compared three conditions that…
Cooperative Learning in the Advanced Algebra and Trigonometry Mathematics High School Classroom
ERIC Educational Resources Information Center
Jozsa, Alison
2017-01-01
Over the past three decades, researchers have found cooperative learning to have positive effects on student achievement in various subject areas and levels in education. However, there are limited studies on the impact of cooperative learning on student achievement in the area of high school mathematics. This study examined the impact of…
Practitioner of Cooperative Learning as Part of Novice Teachers' Professional Identity
ERIC Educational Resources Information Center
Astuti, Puji
2016-01-01
This paper identifies challenges that English as a foreign language (EFL) novice teachers in Indonesia may face in developing a professional identity, which, in this paper, refers to becoming a practitioner of cooperative learning. Cooperative learning is a mandated teaching method both in the 2006 and 2013 Indonesian curriculum, and is under the…
Let's Cooperate! Integrating Cooperative Learning Into a Lesson on Ethics.
Reineke, Patricia R
2017-04-01
Cooperative learning is an effective teaching strategy that promotes active participation in learning and can be used in academic, clinical practice, and professional development settings. This article describes that strategy and provides an example of its use in a lesson about ethics. J Contin Nurs Educ. 2017;48(4):154-156. Copyright 2017, SLACK Incorporated.
Team Learning: Through the Relational Dynamics of Co-operation and Rivalry in Team Communities
ERIC Educational Resources Information Center
Lotz, Maja
2010-01-01
This paper explores the constructive links between cooperation, rivalry, and learning within the structure of team communities. Drawing upon social learning theory and qualitative data from case studies conducted in Danish team-based firms, the main purpose is to argue that both cooperation and rivalry are important triggers for mobilizing…
Fort, H; Viola, S
2004-03-01
We analyze, both analytically and numerically, the self-organization of a system of "selfish" adaptive agents playing an arbitrary iterated pairwise game (defined by a 2 x 2 payoff matrix). Examples of possible games to play are the prisoner's dilemma (PD) game, the chicken game, the hero game, etc. The agents have no memory, use strategies not based on direct reciprocity nor "tags" and are chosen at random, i.e., geographical vicinity is neglected. They can play two possible strategies: cooperate (C) or defect (D). The players measure their success by comparing their utilities with an estimate for the expected benefits and update their strategy following a simple rule. Two versions of the model are studied: (1) the deterministic version (the agents are either in definite states C or D) and (2) the stochastic version (the agents have a probability c of playing C). Using a general master equation we compute the equilibrium states into which the system self-organizes, characterized by their average probability of cooperation c(eq). Depending on the payoff matrix, we show that c(eq) can take five different values. We also consider the mixing of agents using two different payoff matrices and show that any value of c(eq) can be reached by tuning the proportions of agents using each payoff matrix. In particular, this can be used as a way to simulate the effect of a fraction d of "antisocial" individuals--incapable of realizing any value to cooperation--on the cooperative regime hold by a population of neutral or "normal" agents.
Effects of adaptive dynamical linking in networked games
NASA Astrophysics Data System (ADS)
Yang, Zhihu; Li, Zhi; Wu, Te; Wang, Long
2013-10-01
The role of dynamical topologies in the evolution of cooperation has received considerable attention, as some studies have demonstrated that dynamical networks are much better than static networks in terms of boosting cooperation. Here we study a dynamical model of evolution of cooperation on stochastic dynamical networks in which there are no permanent partners to each agent. Whenever a new link is created, its duration is randomly assigned without any bias or preference. We allow the agent to adaptively adjust the duration of each link during the evolution in accordance with the feedback from game interactions. By Monte Carlo simulations, we find that cooperation can be remarkably promoted by this adaptive dynamical linking mechanism both for the game of pairwise interactions, such as the Prisoner's Dilemma game (PDG), and for the game of group interactions, illustrated by the public goods game (PGG). And the faster the adjusting rate, the more successful the evolution of cooperation. We also show that in this context weak selection favors cooperation much more than strong selection does. What is particularly meaningful is that the prosperity of cooperation in this study indicates that the rationality and selfishness of a single agent in adjusting social ties can lead to the progress of altruism of the whole population.
Hybrid Method for Mobile learning Cooperative: Study of Timor Leste
NASA Astrophysics Data System (ADS)
da Costa Tavares, Ofelia Cizela; Suyoto; Pranowo
2018-02-01
In the modern world today the decision support system is very useful to help in solving a problem, so this study discusses the learning process of savings and loan cooperatives in Timor Leste. The purpose of the observation is that the people of Timor Leste are still in the process of learning the use DSS for good saving and loan cooperative process. Based on existing research on the Timor Leste community on credit cooperatives, a mobile application will be built that will help the cooperative learning process in East Timorese society. The methods used for decision making are AHP (Analytical Hierarchy Process) and SAW (simple additive Weighting) method to see the result of each criterion and the weight of the value. The result of this research is mobile leaning cooperative in decision support system by using SAW and AHP method. Originality Value: Changed the two methods of mobile application development using AHP and SAW methods to help the decision support system process of a savings and credit cooperative in Timor Leste.
Cooperative Robot Localization Using Event-Triggered Estimation
NASA Astrophysics Data System (ADS)
Iglesias Echevarria, David I.
It is known that multiple robot systems that need to cooperate to perform certain activities or tasks incur in high energy costs that hinder their autonomous functioning and limit the benefits provided to humans by these kinds of platforms. This work presents a communications-based method for cooperative robot localization. Implementing concepts from event-triggered estimation, used with success in the field of wireless sensor networks but rarely to do robot localization, agents are able to only send measurements to their neighbors when the expected novelty in this information is high. Since all agents know the condition that triggers a measurement to be sent or not, the lack of a measurement is therefore informative and fused into state estimates. In the case agents do not receive either direct nor indirect measurements of all others, the agents employ a covariance intersection fusion rule in order to keep the local covariance error metric bounded. A comprehensive analysis of the proposed algorithm and its estimation performance in a variety of scenarios is performed, and the algorithm is compared to similar cooperative localization approaches. Extensive simulations are performed that illustrate the effectiveness of this method.
The coevolution of partner switching and strategy updating in non-excludable public goods game
NASA Astrophysics Data System (ADS)
Li, Yixiao; Shen, Bin
2013-10-01
Spatial public goods game is a popular metaphor to model the dilemma of collective cooperation on graphs, yet the non-excludable property of public goods has seldom been considered in previous models. Based upon a coevolutionary model where agents play public goods games and adjust their partnerships, the present model incorporates the non-excludable property of public goods: agents are able to adjust their participation in the games hosted by others, whereas they cannot exclude others from their own games. In the coevolution, a directed and dynamical network which represents partnerships among autonomous agents is evolved. We find that non-excludable property counteracts the positive effect of partner switching, i.e., the equilibrium level of cooperation is lower than that in the situation of excludable public goods game. Therefore, we study the effect of individual punishment that cooperative agents pay a personal cost to decrease benefits of those defective neighbors who participate in their hosted games. It is found that the cooperation level in the whole population is heightened in the presence of such a costly behavior.
Cooperative Learning in Inderdisciplinary Education for the Allied Health Professions.
ERIC Educational Resources Information Center
Lynch, Bonnie L.
The concept of cooperative goal structuring was examined, along with the effect of one cooperative learning technique (group consensus examinations) on the perceptions and achievement of college students. Cooperative goal structure exists when students perceive that they can obtain their goal only if the other students with whom they work also…
NASA Astrophysics Data System (ADS)
Xia, Cheng-Yi; Wang, Lei; Wang, Juan; Wang, Jin-Song
2012-09-01
We combine the Fermi and Moran update rules in the spatial prisoner's dilemma and snowdrift games to investigate the behavior of collective cooperation among agents on the regular lattice. Large-scale simulations indicate that, compared to the model with only one update rule, the cooperation behavior exhibits the richer phenomena, and the role of update dynamics should be paid more attention in the evolutionary game theory. Meanwhile, we also observe that the introduction of Moran rule, which needs to consider all neighbor's information, can markedly promote the aggregate cooperation level, that is, randomly selecting the neighbor proportional to its payoff to imitate will facilitate the cooperation among agents. Current results will contribute to further understand the cooperation dynamics and evolutionary behaviors within many biological, economic and social systems.
Enhancing Social Work Education through Team-Based Learning
ERIC Educational Resources Information Center
Gillespie, Judy
2012-01-01
Group learning strategies are used extensively in social work education, despite the challenges and negative outcomes regularly experienced by students and faculty. Building on principles of cooperative learning, team-based learning offers a more structured approach that maximizes the benefits of cooperative learning while also offering…
Creating Learning Communities in the Classroom
ERIC Educational Resources Information Center
Saville, Bryan K.; Lawrence, Natalie Kerr; Jakobsen, Krisztina V.
2012-01-01
There are many ways to construct classroom-based learning communities. Nevertheless, the emphasis is always on cooperative learning. In this article, the authors focus on three teaching methods--interteaching, team-based learning, and cooperative learning in large, lecture-based courses--that they have used successfully to create classroom-based…
Sustainable cooperation based on reputation and habituation in the public goods game.
Liu, Yan; Chen, Tong
2017-10-01
Reputation can promote cooperation in public goods game and player's cooperative behavior is not pure economical rationality, but habituation would influence their behaviors as well. One's habituation can be formed by repeated behaviors in daily life and be affected by habitual preference. We aim to investigate the sustainable cooperation based on reputation and habit formation. To better investigate the impacts of reputation and habitual preference on the evolution and sustainability of cooperation. We introduce three types of agents into our spatial public goods game. Through numerical simulations, we find that the larger habitual preference make cooperation easier to emerge and maintain. Additionally, we find that a moderate number of agents who want to obtain more reputation (ICs) are best for the sustainability of cooperation. Finally, we observe that the variation of donations of ICs can influence greatly on the equilibrium of public goods game. When ICs reduce their donations, a proper contribution will be better to maintain the cooperative behaviors. Copyright © 2017 Elsevier B.V. All rights reserved.
Large-Scale Cooperative Task Distribution on Peer-to-Peer Networks
2012-01-01
SUBTITLE Large-scale cooperative task distribution on peer-to-peer networks 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6...of agents, and each agent attempts to form a coalition with its most profitable partner. The second algorithm builds upon the Shapley for- mula [37...ters at the second layer. These Category Layer clusters each represent a single resource, and agents join one or more clusters based on their
Cooperative Learning and Learning Achievement in Social Science Subjects for Sociable Students
ERIC Educational Resources Information Center
Herpratiwi; Darsono; Sasmiati; Pujiyatli
2018-01-01
Purpose: The research objective was to compare students' learning achievement for sociable learning motivation students in social science (IPS) using cooperative learning. Research Methods: This research used a quasi-experimental method with a pre-test/post-test design involving 35 fifth-grade students. The learning process was conducted four…
Rapoport, Amnon; Zhao, Rui
2017-01-01
The literature on team cooperation has neglected the effects of relative kindness intention on cooperation, which we measure by comparing the kindness intentions of an agent to her group members to the kindness shown by other members to this same agent. We argue that the agent’s emotional reaction to material payoff inequity is not constant, but rather affected by her relative kindness intention. Then, we apply the model to team projects with multiple partners and investigate how inequity-aversion and relative kindness intention jointly influence team cooperation. We first consider the case of homogeneous agents, where their marginal productivity levels and technical capacities are the same, and then consider the case of heterogeneous agents, where their marginal productivity levels and technical capacities are not the same. Our results show that inequity-aversion has no effect on effort expenditure in the former case, but does affect it in the latter case. The consideration of relative kindness intention may impact the agents’ optimal cooperative effort expenditure when their technical capacities are different. In addition, it is beneficial for team cooperation, and might not only reduce the negative impact but also enhance the positive impact of inequity-aversion on the agents’ effort expenditures. PMID:28459853
Misreporting behaviour in iterated prisoner's dilemma game with combined trust strategy
NASA Astrophysics Data System (ADS)
Chen, Bo; Zhang, Bin; Wu, Hua-qing
2015-01-01
Effects of agents' misreporting behaviour on system cooperation are studied in a multi-agent iterated prisoner's dilemma game. Agents, adopting combined trust strategy (denoted by CTS) are classified into three groups, i.e., honest CTS, positive-reporting CTS and negative-reporting CTS. The differences of cooperation frequency and pay-off under three different systems, i.e., system only with honest CTS, system with honest CTS and positive-reporting CTS and system with honest CTS and negative-reporting CTS, are compared. Furthermore, we also investigate the effects of misreporting behaviour on an exploiter who adopts an exploiting strategy (denoted by EXPL) in a system with two CTSs and one EXPL. At last, numerical simulations are performed for understanding the effects of misreporting behaviour on CTS. The results reveal that positive-reporting behaviour can strengthen system cooperation, while negative-reporting behaviour cannot. When EXPL exists in a system, positive-reporting behaviour helps the exploiter in reducing its exploiting cost and encourages agents to adopt exploiting strategy, but hurts other agents' interests.
Social learning in cooperative dilemmas.
Lamba, Shakti
2014-07-22
Helping is a cornerstone of social organization and commonplace in human societies. A major challenge for the evolutionary sciences is to explain how cooperation is maintained in large populations with high levels of migration, conditions under which cooperators can be exploited by selfish individuals. Cultural group selection models posit that such large-scale cooperation evolves via selection acting on populations among which behavioural variation is maintained by the cultural transmission of cooperative norms. These models assume that individuals acquire cooperative strategies via social learning. This assumption remains empirically untested. Here, I test this by investigating whether individuals employ conformist or payoff-biased learning in public goods games conducted in 14 villages of a forager-horticulturist society, the Pahari Korwa of India. Individuals did not show a clear tendency to conform or to be payoff-biased and are highly variable in their use of social learning. This variation is partly explained by both individual and village characteristics. The tendency to conform decreases and to be payoff-biased increases as the value of the modal contribution increases. These findings suggest that the use of social learning in cooperative dilemmas is contingent on individuals' circumstances and environments, and question the existence of stably transmitted cultural norms of cooperation. © 2014 The Author(s) Published by the Royal Society. All rights reserved.
NASA Astrophysics Data System (ADS)
Castelletti, A.; Giuliani, M.; Soncini-Sessa, R.
2012-12-01
The presence of multiple, institutionally independent but physically interconnected decision-makers is a distinctive features of many water resources systems, especially of transnational river basins. The adoption of a centralized approach to study the optimal operation of these systems, as mostly done in the water resources literature, is conceptually interesting to quantify the best achievable performance, but of little practical impact given the real political and institutional setting. Centralized management indeed assumes a cooperative attitude and full information exchange by the involved parties. However, when decision-makers belong to different countries or institutions, it is very likely that they act considering only their local objectives, producing global externalities that negatively impact on other objectives. In this work we adopt a Multi-Agent Systems framework, which naturally allows to represent a set of self-interested agents (decision-makers and/or stakeholders) acting in a distributed decision-making process. According to this agent-based approach, each agent represents a decision-maker, whose decisions are defined by an explicit optimization problem considering only the agent's local interests. In particular, this work assesses the role of information exchange and increasing level of cooperation among originally non-cooperative agents. The Zambezi River basin is used to illustrate the methodology: the four largest reservoirs in the basin (Ithezhithezhi, Kafue-Gorge, Kariba and Cahora Bassa) are mainly operated for maximizing the economic revenue from hydropower energy production with considerably negative effects on the aquatic ecosystem in the Zambezi delta due to the alteration of the natural flow regime. We comparatively analyse the ideal centralized solution and the current situation where all the decision-makers act independently and non-cooperatively. Indeed, although a new basin-level institution called Zambezi Watercourse Commission (ZAMCON) should be established in the next future, Zambia recently refused to sign and ratify the ZAMCON Protocol and the road toward a fully cooperative framework is still long. Results show that increasing levels of information exchange can help in mitigating the conflict generated by a non-cooperative setting as it allows the downstream agents, i.e. Mozambique country, to better adapt to the upstream management strategies. Furthermore, the role of information exchange depends on the considered objectives and it is particularly relevant for environmental interests.
NASA Astrophysics Data System (ADS)
Suseno, Gijanto Purbo; Nataliningsih
2017-09-01
Cooperative extension is one form of non-formal education. The follow up of cooperative extension is a coaching that aims to cooperative boards and members apply the knowledge and skills acquired during extension. Learning from the experience (experience learning) of others combined with the concept of joint responsibility is expected to develop the participation of cooperative members as indicated by the repayment of loans on time. The research was conducted at Sumedang Farmer Women Cooperative of West Java with the stages of cooperative extension and coaching for 6 months so it can be evaluated its impact. The results showed that from 30 extension participants who stated willingness to be a member of joint responsibility group as many as 15 people (50%), which then divided into 3 groups of mutual responsibility with member of each group is 5 people. The result of impact evaluation showed the development of group dynamics of the joint liability shown by 9 people (60%) developing business, 3 people (20%) business stagnant and 3 (20%) less profitable business. Implementation of experiental learning based on the concept of mutual responsibility encourages the improvement of entrepreneurship and cooperative skills and the ability of members to pay loan installments on cooperatives in a timely manner.
Teaching Theory in Occupational Therapy Using a Cooperative Learning: A Mixed-Methods Study.
Howe, Tsu-Hsin; Sheu, Ching-Fan; Hinojosa, Jim
2018-01-01
Cooperative learning provides an important vehicle for active learning, as knowledge is socially constructed through interaction with others. This study investigated the effect of cooperative learning on occupational therapy (OT) theory knowledge attainment in professional-level OT students in a classroom environment. Using a pre- and post-test group design, 24 first-year, entry-level OT students participated while taking a theory course in their second semester of the program. Cooperative learning methods were implemented via in-class group assignments. The students were asked to complete two questionnaires regarding their attitudes toward group environments and their perception toward group learning before and after the semester. MANCOVA was used to examine changes in attitudes and perceived learning among groups. Students' summary sheets for each in-class assignment and course evaluations were collected for content analysis. Results indicated significant changes in students' attitude toward working in small groups regardless of their prior group experience.
ERIC Educational Resources Information Center
Deutsch, Morton
This paper is a summary report of a study of the effects of training in conflict resolution and cooperative learning in an alternative high school in New York City. Three of the school's four campuses participated, with Campus A receiving conflict resolution training, Campus C receiving cooperative learning training, and Campus B receiving…
ERIC Educational Resources Information Center
Reinhard, Karin; Pogrzeba, Anna
2016-01-01
The role of industry in the higher education system is becoming more prevalent, as universities integrate a practical element into their curricula. However, the level of development of cooperative education and work-integrated learning varies from country to country. In Germany, cooperative education and work-integrated learning has a long…
An Evaluation of the Cooperative Learning Process by Sixth-Grade Students
ERIC Educational Resources Information Center
Genç, Murat
2016-01-01
The purpose of this study is to investigate the effectiveness of cooperative learning on the science lessons achievement of primary school students and to designate their views on cooperative learning process. 135 sixth-grade students attending the same school took part in the study. The model of this study was the Solomon four-group model. In the…
The Effects of Cooperative Learning Strategies on Vocabulary Skills of 4th Grade Students
ERIC Educational Resources Information Center
Bilen, Didem; Tavil, Zekiye Müge
2015-01-01
This study was carried out to investigate the effects of cooperative learning strategies on the vocabulary skills of 4th grade students. The study was also designed to ascertain the attitudes of the students in the experimental group towards cooperative learning. Out of 96 4th grade students enrolled in the private school where the study took…
ERIC Educational Resources Information Center
Asha, Intisar K.; Al Hawi, Asma M.
2016-01-01
This study aimed at investigating the effect of cooperative learning on developing the sixth graders' decision making skill and their academic achievement. The study sample, which was selected randomly, consisted of (46) students and divided into two groups: the experimental group that taught using the cooperative learning strategy and the control…
ERIC Educational Resources Information Center
Ismail, Mohd Nasir; Ngah, Nor Azilah; Umar, Irfan Naufal
2010-01-01
The purpose of the study is to investigate the effects of mind mapping with cooperative learning (MMCL) and cooperative learning (CL) on: (a) programming performance; (b) problem solving skill; and (c) metacognitive knowledge among computer science students in Malaysia. The moderating variable is the students' logical thinking level with two…
ERIC Educational Resources Information Center
Xue, Gong; Lingling, Liu
2018-01-01
This paper first based on the theory of cooperative learning research. It analyses the characteristics and advantages of cooperative learning under the multimedia network environment. And then take China Three Gorges University and Taiwan I-Shou University English major students for example, using questionnaires and interviews to investigate the…
ERIC Educational Resources Information Center
Holt, Daniel D., Ed.
Essays on cooperative learning focus on the use of this strategy to address the special needs of linguistically and culturally diverse student groups in elementary and secondary education. The volume contains several essays on theory, principles, and techniques of cooperative learning and a series of model instructional units for a variety of…
ERIC Educational Resources Information Center
Robinson, Susan Rubino
2012-01-01
This qualitative phenomenological study sought to explore the perceptions of experienced teachers regarding cooperative learning training and its implementation in the classroom. Twelve total participants, nine teachers and three administrators, volunteered for this six-week study at a private, K3-12 school in Broward County, Florida. The study's…
Cooperative Learning for Distributed In-Network Traffic Classification
NASA Astrophysics Data System (ADS)
Joseph, S. B.; Loo, H. R.; Ismail, I.; Andromeda, T.; Marsono, M. N.
2017-04-01
Inspired by the concept of autonomic distributed/decentralized network management schemes, we consider the issue of information exchange among distributed network nodes to network performance and promote scalability for in-network monitoring. In this paper, we propose a cooperative learning algorithm for propagation and synchronization of network information among autonomic distributed network nodes for online traffic classification. The results show that network nodes with sharing capability perform better with a higher average accuracy of 89.21% (sharing data) and 88.37% (sharing clusters) compared to 88.06% for nodes without cooperative learning capability. The overall performance indicates that cooperative learning is promising for distributed in-network traffic classification.
Emergence of heterogeneity and political organization in information exchange networks
NASA Astrophysics Data System (ADS)
Guttenberg, Nicholas; Goldenfeld, Nigel
2010-04-01
We present a simple model of the emergence of the division of labor and the development of a system of resource subsidy from an agent-based model of directed resource production with variable degrees of trust between the agents. The model has three distinct phases corresponding to different forms of societal organization: disconnected (independent agents), homogeneous cooperative (collective state), and inhomogeneous cooperative (collective state with a leader). Our results indicate that such levels of organization arise generically as a collective effect from interacting agent dynamics and may have applications in a variety of systems including social insects and microbial communities.
Emergence of heterogeneity and political organization in information exchange networks.
Guttenberg, Nicholas; Goldenfeld, Nigel
2010-04-01
We present a simple model of the emergence of the division of labor and the development of a system of resource subsidy from an agent-based model of directed resource production with variable degrees of trust between the agents. The model has three distinct phases corresponding to different forms of societal organization: disconnected (independent agents), homogeneous cooperative (collective state), and inhomogeneous cooperative (collective state with a leader). Our results indicate that such levels of organization arise generically as a collective effect from interacting agent dynamics and may have applications in a variety of systems including social insects and microbial communities.
Boucher, Jean-David; Pattacini, Ugo; Lelong, Amelie; Bailly, Gerrard; Elisei, Frederic; Fagel, Sascha; Dominey, Peter Ford; Ventre-Dominey, Jocelyne
2012-01-01
Human-human interaction in natural environments relies on a variety of perceptual cues. Humanoid robots are becoming increasingly refined in their sensorimotor capabilities, and thus should now be able to manipulate and exploit these social cues in cooperation with their human partners. Previous studies have demonstrated that people follow human and robot gaze, and that it can help them to cope with spatially ambiguous language. Our goal is to extend these findings into the domain of action, to determine how human and robot gaze can influence the speed and accuracy of human action. We report on results from a human-human cooperation experiment demonstrating that an agent's vision of her/his partner's gaze can significantly improve that agent's performance in a cooperative task. We then implement a heuristic capability to generate such gaze cues by a humanoid robot that engages in the same cooperative interaction. The subsequent human-robot experiments demonstrate that a human agent can indeed exploit the predictive gaze of their robot partner in a cooperative task. This allows us to render the humanoid robot more human-like in its ability to communicate with humans. The long term objectives of the work are thus to identify social cooperation cues, and to validate their pertinence through implementation in a cooperative robot. The current research provides the robot with the capability to produce appropriate speech and gaze cues in the context of human-robot cooperation tasks. Gaze is manipulated in three conditions: Full gaze (coordinated eye and head), eyes hidden with sunglasses, and head fixed. We demonstrate the pertinence of these cues in terms of statistical measures of action times for humans in the context of a cooperative task, as gaze significantly facilitates cooperation as measured by human response times.
ERIC Educational Resources Information Center
Jiang, Dongmei
2016-01-01
This study investigated the effect of cooperative learning on writing anxiety alleviation through a pre-test/post-test assessment. 120 EFL learners from a Chinese polytechnic institute were assigned into two groups: one experimental (cooperative writing) and the other comparison (solitary writing). Results revealed that cooperative learning…
Teachers' and students' verbal behaviours during cooperative and small-group learning.
Gillies, Robyn M
2006-06-01
Teachers play a critical role in promoting interactions between students and engaging them in the learning process. This study builds on a study by Hertz-Lazarowitz and Shachar (1990) who found that during cooperative learning teachers' verbal behaviours were more helpful to and encouraging of their students' efforts while during whole-class instruction, their verbal behaviours tended to be more authoritarian, rigid, and impersonal. This study seeks to determine if teachers who implement cooperative learning engage in more facilitative learning interactions with their students than teachers who implement group work only. The study also seeks to determine if students in the cooperative groups model their teachers' behaviours and engage in more positive helping interactions with each other than their peers in the group work groups. The study involved 26 teachers and 303 students in Grades 8 to 10 from 4 large high schools in Brisbane, Australia. All teachers agreed to establish cooperative, small-group activities in their classrooms for a unit of work (4 to 6 weeks) once a term for 3 school terms. The teachers were audiotaped twice during these lessons and samples of the students' language, as they worked in their groups, were also collected at the same time. The results show that teachers who implement cooperative learning in their classrooms engage in more mediated-learning interactions and make fewer disciplinary comments than teachers who implement group work only. Furthermore, the students model many of these interactions in their groups. The study shows that when teachers implement cooperative learning, their verbal behaviour is affected by the organizational structure of the classroom.
Contribution diversity and incremental learning promote cooperation in public goods games
NASA Astrophysics Data System (ADS)
Liu, Penghui; Liu, Jing
2017-11-01
Understanding the evolution of cooperation in nature has long been a challenge and how to promote cooperation in public goods games (PGG) has attracted lots of attention recently. Social diversity has been found helpful to explain the emergence of cooperation in the absence of reputation and punishment. However, further refinement on how individuals reallocate their contribution to each PGG remains an open question. Moreover, individuals in existing works mostly teach or learn from neighbors according to their payoff in the last generation only. However, individuals in reality are preferred to learn from others with a long-term good performance. Therefore, in this paper, a new contribution diversity (CD) is designed and incremental learning (IL) is introduced. We investigate how these two may influence the evolution of cooperation in PGG. Based on the simulation results, we found that both the CD and IL can promote the cooperation in PGGs. Moreover, when cooperators are shaken in their strategy, CD may fail in reallocating contribution of individuals properly. However, IL is found effective to stabilize faith of cooperators and cooperators under IL reflect a long-term advantage over defectors in terms of benefits. Therefore, we further find IL and CD can mutually benefit each other in promoting cooperation, as CD can reasonably adjust the investment of cooperators while IL can provide more information to CD.
A further analysis of the role of heterogeneity in coevolutionary spatial games
NASA Astrophysics Data System (ADS)
Cardinot, Marcos; Griffith, Josephine; O'Riordan, Colm
2018-03-01
Heterogeneity has been studied as one of the most common explanations of the puzzle of cooperation in social dilemmas. A large number of papers have been published discussing the effects of increasing heterogeneity in structured populations of agents, where it has been established that heterogeneity may favour cooperative behaviour if it supports agents to locally coordinate their strategies. In this paper, assuming an existing model of a heterogeneous weighted network, we aim to further this analysis by exploring the relationship (if any) between heterogeneity and cooperation. We adopt a weighted network which is fully populated by agents playing both the Prisoner's Dilemma or the Optional Prisoner's Dilemma games with coevolutionary rules, i.e., not only the strategies but also the link weights evolve over time. Surprisingly, results show that the heterogeneity of link weights (states) on their own does not always promote cooperation; rather cooperation is actually favoured by the increase in the number of overlapping states and not by the heterogeneity itself. We believe that these results can guide further research towards a more accurate analysis of the role of heterogeneity in social dilemmas.
Structuring Cooperative Learning in Teaching English Pronunciation
ERIC Educational Resources Information Center
Chen, Hsuan-Yu; Goswami, Jaya S.
2011-01-01
Classrooms incorporating Cooperative Learning (CL) structures facilitate a supportive learning environment for English Language Learners (ELLs). Accurate pronunciation by ELLs is important for communication, and also benefits academic achievement. The known benefits of CL for ELLs make it a desirable learning environment to teach pronunciation…
NASA Astrophysics Data System (ADS)
Rr Chusnul, C.; Mardiyana, S., Dewi Retno
2017-12-01
Problem solving is the basis of mathematics learning. Problem solving teaches us to clarify an issue coherently in order to avoid misunderstanding information. Sometimes there may be mistakes in problem solving due to misunderstanding the issue, choosing a wrong concept or misapplied concept. The problem-solving test was carried out after students were given treatment on learning by using cooperative learning of TTW type. The purpose of this study was to elucidate student problem regarding to problem solving errors after learning by using cooperative learning of TTW type. Newman stages were used to identify problem solving errors in this study. The new research used a descriptive method to find out problem solving errors in students. The subject in this study were students of Vocational Senior High School (SMK) in 10th grade. Test and interview was conducted for data collection. Thus, the results of this study suggested problem solving errors in students after learning by using cooperative learning of TTW type for Newman stages.
ERIC Educational Resources Information Center
Wu, YuLung
2010-01-01
In Taiwan, when students learn in experiment-related courses, they are often grouped into several teams. The familiar method of grouping learning is "Cooperative Learning". A well-organized grouping strategy improves cooperative learning and increases the number of activities. This study proposes a novel pedagogical method by adopting…
ERIC Educational Resources Information Center
Kristiawan, Muhammad
2013-01-01
The aim of this research is to explain the implementation of cooperative learning in English class of favorite school of Secondary High School 5 Batusangkar, West Sumatera; to find out the achievement of Cooperative Learning in English class of Favorite School of Secondary High School 5 Batusangkar, West Sumatera; and to know how is the strengths…
ERIC Educational Resources Information Center
Gomleksiz, M. N.
2007-01-01
The present study compares the effects of the cooperative jigsaw II method and traditional teacher-centred teaching method on improving vocabulary knowledge and active-passive voice in English as a foreign language for engineering students and the students' attitudes towards learning English. Jigsaw is a cooperative learning model that involves…
Reinforcement Learning Explains Conditional Cooperation and Its Moody Cousin.
Ezaki, Takahiro; Horita, Yutaka; Takezawa, Masanori; Masuda, Naoki
2016-07-01
Direct reciprocity, or repeated interaction, is a main mechanism to sustain cooperation under social dilemmas involving two individuals. For larger groups and networks, which are probably more relevant to understanding and engineering our society, experiments employing repeated multiplayer social dilemma games have suggested that humans often show conditional cooperation behavior and its moody variant. Mechanisms underlying these behaviors largely remain unclear. Here we provide a proximate account for this behavior by showing that individuals adopting a type of reinforcement learning, called aspiration learning, phenomenologically behave as conditional cooperator. By definition, individuals are satisfied if and only if the obtained payoff is larger than a fixed aspiration level. They reinforce actions that have resulted in satisfactory outcomes and anti-reinforce those yielding unsatisfactory outcomes. The results obtained in the present study are general in that they explain extant experimental results obtained for both so-called moody and non-moody conditional cooperation, prisoner's dilemma and public goods games, and well-mixed groups and networks. Different from the previous theory, individuals are assumed to have no access to information about what other individuals are doing such that they cannot explicitly use conditional cooperation rules. In this sense, myopic aspiration learning in which the unconditional propensity of cooperation is modulated in every discrete time step explains conditional behavior of humans. Aspiration learners showing (moody) conditional cooperation obeyed a noisy GRIM-like strategy. This is different from the Pavlov, a reinforcement learning strategy promoting mutual cooperation in two-player situations.
Cooperation, Technology, and Performance: A Case Study.
ERIC Educational Resources Information Center
Cavanagh, Thomas; Dickenson, Sabrina; Brandt, Suzanne
1999-01-01
Describes the CTP (Cooperation, Technology, and Performance) model and explains how it is used by the Department of Veterans Affairs-Veteran's Benefit Administration (VBA) for training. Discusses task analysis; computer-based training; cooperative-based learning environments; technology-based learning; performance-assessment methods; courseware…
Experience of cooperative learning in engineering
NASA Astrophysics Data System (ADS)
Maceiras, Rocio; Cancela, Angeles; Urréjola, Santiago; Sánchez, Angel
2011-03-01
The objective of this work is to share the authors' experience towards a different mode of teaching/learning method. Cooperative learning (Jigsaw) was employed on the University of Vigo's fourth-year engineering students. The results of the experience show that cooperative learning is quite a viable alternative to the classical way of lecturing at the university when the number of students is not too high. The authors' observation indicates that students did not show a lot of interest towards the new learning style but their resistance changed once they began the activity. The Jigsaw method has proved to be a useful tool for improving the learning process so that students have the opportunity to participate actively in the learning activities.
ERIC Educational Resources Information Center
Hing, Tey Sau; Lee, Christine Kim-Eng; Ng, Maureen; Chew, Joy
A study recorded the experiences of elementary school students with cooperative learning in two schools in Singapore. The students worked cooperatively in various assigned social studies tasks through the process of social interaction and sharing with their peers. One school was used as the experimental school while the other served as the…
Intuition, deliberation, and the evolution of cooperation.
Bear, Adam; Rand, David G
2016-01-26
Humans often cooperate with strangers, despite the costs involved. A long tradition of theoretical modeling has sought ultimate evolutionary explanations for this seemingly altruistic behavior. More recently, an entirely separate body of experimental work has begun to investigate cooperation's proximate cognitive underpinnings using a dual-process framework: Is deliberative self-control necessary to reign in selfish impulses, or does self-interested deliberation restrain an intuitive desire to cooperate? Integrating these ultimate and proximate approaches, we introduce dual-process cognition into a formal game-theoretic model of the evolution of cooperation. Agents play prisoner's dilemma games, some of which are one-shot and others of which involve reciprocity. They can either respond by using a generalized intuition, which is not sensitive to whether the game is one-shot or reciprocal, or pay a (stochastically varying) cost to deliberate and tailor their strategy to the type of game they are facing. We find that, depending on the level of reciprocity and assortment, selection favors one of two strategies: intuitive defectors who never deliberate, or dual-process agents who intuitively cooperate but sometimes use deliberation to defect in one-shot games. Critically, selection never favors agents who use deliberation to override selfish impulses: Deliberation only serves to undermine cooperation with strangers. Thus, by introducing a formal theoretical framework for exploring cooperation through a dual-process lens, we provide a clear answer regarding the role of deliberation in cooperation based on evolutionary modeling, help to organize a growing body of sometimes-conflicting empirical results, and shed light on the nature of human cognition and social decision making.
DOT National Transportation Integrated Search
2008-08-01
This study reports the findings of a project that was done during the implementation of a : problem-based learning (PBL) and cooperative learning (CL) elements into an : undergraduate transportation engineering course. The study procedure used the st...
Cooperative Learning in Distance Learning: A Mixed Methods Study
ERIC Educational Resources Information Center
Kupczynski, Lori; Mundy, Marie Anne; Goswami, Jaya; Meling, Vanessa
2012-01-01
Distance learning has facilitated innovative means to include Cooperative Learning (CL) in virtual settings. This study, conducted at a Hispanic-Serving Institution, compared the effectiveness of online CL strategies in discussion forums with traditional online forums. Quantitative and qualitative data were collected from 56 graduate student…
Meaningful Learning in the Cooperative Classroom
ERIC Educational Resources Information Center
Sharan, Yael
2015-01-01
Meaningful learning is based on more than what teachers transmit; it promotes the construction of knowledge out of learners' experience, feelings and exchanges with other learners. This educational view is based on the constructivist approach to learning and the co-operative learning approach. Researchers and practitioners in various…
Towards Cooperative Predictive Data Mining in Competitive Environments
NASA Astrophysics Data System (ADS)
Lisý, Viliam; Jakob, Michal; Benda, Petr; Urban, Štěpán; Pěchouček, Michal
We study the problem of predictive data mining in a competitive multi-agent setting, in which each agent is assumed to have some partial knowledge required for correctly classifying a set of unlabelled examples. The agents are self-interested and therefore need to reason about the trade-offs between increasing their classification accuracy by collaborating with other agents and disclosing their private classification knowledge to other agents through such collaboration. We analyze the problem and propose a set of components which can enable cooperation in this otherwise competitive task. These components include measures for quantifying private knowledge disclosure, data-mining models suitable for multi-agent predictive data mining, and a set of strategies by which agents can improve their classification accuracy through collaboration. The overall framework and its individual components are validated on a synthetic experimental domain.
Collaborative action research: implementation of cooperative learning.
Smith-Stoner, Marilyn; Molle, Mary E
2010-06-01
Nurse educators must continually improve their teaching skills through innovation. However, research about the process used by faculty members to transform their teaching methods is limited. This collaborative study uses classroom action research to describe, analyze, and address problems encountered in implementing cooperative learning in two undergraduate nursing courses. After four rounds of action and reflection, the following themes emerged: students did not understand the need for structured cooperative learning; classroom structure and seating arrangement influenced the effectiveness of activities; highly structured activities engaged the students; and short, targeted activities that involved novel content were most effective. These findings indicate that designing specific activities to prepare students for class is critical to cooperative learning. Copyright 2010, SLACK Incorporated.
How Do I Get My Students to Work Together? Getting Cooperative Learning Started
NASA Astrophysics Data System (ADS)
Hamby Towns, Marcy
1998-01-01
The American Chemical Society Committee on Professional Training presented in their Spring 1996 newsletter the results of an industrial roundtable which was convened to address what industry looks for in new hires. Roundtable participants voiced broad agreement that in addition to technical skills, one of the key experiences industry seeks in new hires is team problem solving. Cooperative learning activities improve team problem solving skills and promote the development of interpersonal skills and communication skills through face-to-face interactions. Cooperative learning is not simply putting students into groups and telling them to work together. Cooperative learning requires preparation on the part of the students and the instructor. This article discusses how to implement cooperative learning through a series of activities which allow the students to get to know each other. Students who build supportive committed relationships with each other become more committed to the course, more committed to each other, and more willing to take on tough tasks because they expect to succeed. In essence, they form a coherent learning community.
ERIC Educational Resources Information Center
Black, Susan
1992-01-01
Research suggests that cooperative learning works best when students are first taught group-processing skills, such as leadership, decision making, communication, trust building, and conflict management. Inadequate teacher training and boring assignments can torpedo cooperative learning efforts. Administrators should reassure teachers with…
Wijermans, Nanda; Schlüter, Maja; Lindahl, Therese
2016-01-01
Cooperation amongst resource users holds the key to overcoming the social dilemma that characterizes community-based common-pool resource management. But is cooperation alone enough to achieve sustainable resource use? The short answer is no. Developing management strategies in a complex social-ecological environment also requires ecological knowledge and approaches to deal with perceived environmental uncertainty. Recent behavioral experimental research indicates variation in the degree to which a group of users can identify a sustainable exploitation level. In this paper, we identify social-ecological micro-foundations that facilitate cooperative sustainable common-pool resource use. We do so by using an agent-based model (ABM) that is informed by behavioral common-pool resource experiments. In these experiments, groups that cooperate do not necessarily manage the resource sustainably, but also over- or underexploit. By reproducing the patterns of the behavioral experiments in a qualitative way, the ABM represents a social-ecological explanation for the experimental observations. We find that the ecological knowledge of each group member cannot sufficiently explain the relationship between cooperation and sustainable resource use. Instead, the development of a sustainable exploitation level depends on the distribution of ecological knowledge among the group members, their influence on each other’s knowledge, and the environmental uncertainty the individuals perceive. The study provides insights about critical social-ecological micro-foundations underpinning collective action and sustainable resource management. These insights may inform policy-making, but also point to future research needs regarding the mechanisms of social learning, the development of shared management strategies and the interplay of social and ecological uncertainty. PMID:27556175
Schill, Caroline; Wijermans, Nanda; Schlüter, Maja; Lindahl, Therese
2016-01-01
Cooperation amongst resource users holds the key to overcoming the social dilemma that characterizes community-based common-pool resource management. But is cooperation alone enough to achieve sustainable resource use? The short answer is no. Developing management strategies in a complex social-ecological environment also requires ecological knowledge and approaches to deal with perceived environmental uncertainty. Recent behavioral experimental research indicates variation in the degree to which a group of users can identify a sustainable exploitation level. In this paper, we identify social-ecological micro-foundations that facilitate cooperative sustainable common-pool resource use. We do so by using an agent-based model (ABM) that is informed by behavioral common-pool resource experiments. In these experiments, groups that cooperate do not necessarily manage the resource sustainably, but also over- or underexploit. By reproducing the patterns of the behavioral experiments in a qualitative way, the ABM represents a social-ecological explanation for the experimental observations. We find that the ecological knowledge of each group member cannot sufficiently explain the relationship between cooperation and sustainable resource use. Instead, the development of a sustainable exploitation level depends on the distribution of ecological knowledge among the group members, their influence on each other's knowledge, and the environmental uncertainty the individuals perceive. The study provides insights about critical social-ecological micro-foundations underpinning collective action and sustainable resource management. These insights may inform policy-making, but also point to future research needs regarding the mechanisms of social learning, the development of shared management strategies and the interplay of social and ecological uncertainty.
Selective Cooperation in Early Childhood – How to Choose Models and Partners
Hermes, Jonas; Behne, Tanya; Studte, Kristin; Zeyen, Anna-Maria; Gräfenhain, Maria; Rakoczy, Hannes
2016-01-01
Cooperation is essential for human society, and children engage in cooperation from early on. It is unclear, however, how children select their partners for cooperation. We know that children choose selectively whom to learn from (e.g. preferring reliable over unreliable models) on a rational basis. The present study investigated whether children (and adults) also choose their cooperative partners selectively and what model characteristics they regard as important for cooperative partners and for informants about novel words. Three- and four-year-old children (N = 64) and adults (N = 14) saw contrasting pairs of models differing either in physical strength or in accuracy (in labeling known objects). Participants then performed different tasks (cooperative problem solving and word learning) requiring the choice of a partner or informant. Both children and adults chose their cooperative partners selectively. Moreover they showed the same pattern of selective model choice, regarding a wide range of model characteristics as important for cooperation (preferring both the strong and the accurate model for a strength-requiring cooperation tasks), but only prior knowledge as important for word learning (preferring the knowledgeable but not the strong model for word learning tasks). Young children’s selective model choice thus reveals an early rational competence: They infer characteristics from past behavior and flexibly consider what characteristics are relevant for certain tasks. PMID:27505043
Costly punishment and cooperation in the evolutionary snowdrift game
NASA Astrophysics Data System (ADS)
Xu, C.; Ji, M.; Yap, Yee Jiun; Zheng, Da-Fang; Hui, P. M.
2011-05-01
The role of punishments in promoting cooperation is an important issue. We incorporate costly punishments into the snowdrift game (SG) by introducing a third punishing (P) character, and study the effects. The punishers, who carry basically a cooperative (C) character, are willing to pay a cost α so as to punish a non-cooperative (D) opponent by β. Depending on the initial fractions of the characters, α, β, and the cost-to-benefit ratio r in the SG, the three-character system evolves into a steady state consisting either only of C and P characters or only of C and D characters, in a well-mixed population. The former situation represents an enhancement in cooperation relative to the SG, while the latter is similar to the SG. The dynamics in approaching these different steady states are found to be different. Analytically, the key features in the dynamics and the steady states observed in simulations are captured by a set of differential equations. The sensitivity to the initial distribution of characters is studied by depicting the flow in a phase portrait and analyzing the nature of fixed points. The analysis also shows the role of P-character agents in preventing a system from invasion by D-character agents. Starting from a population consisting only of C and P agents, a D-character agent intended to invade the system cannot survive when the initial fraction of P agents is greater than r/β. Our model, defined intentionally as a simulation algorithm, can be readily generalized to incorporate many interesting effects, such as those in a networked population.
Capodieci, Agnese; Rivetti, Thomas; Cornoldi, Cesare
2016-08-31
The hypothesis behind this study was that trained teachers using cooperative learning procedures with children in their classroom (aged from 6 to 10 years) can influence the social skills of children with ADHD symptoms and their acceptance by their peers. The study involved 30 children with ADHD symptoms attending 12 different classes, where cooperative learning was adopted in some, and standard practices in others. ADHD children's symptoms, social skills, and cooperative behavior were assessed by means of a teacher's questionnaire, and the social preferences of the children in their class were collected. Changes emerged in teachers' assessments of the children's cooperative behavior in the experimental classes. Improvements in the sociometric status of children with ADHD symptoms were only seen in the cooperative learning classes. These results show the importance of well-structured intervention in classes that include children with ADHD symptoms. Implications of these findings for future intervention are discussed. © The Author(s) 2016.
León-Del-Barco, Benito; Mendo-Lázaro, Santiago; Felipe-Castaño, Elena; Fajardo-Bullón, Fernando; Iglesias-Gallego, Damián
2018-01-01
Cooperative learning are being used increasingly in the university classroom, in order to promote teamwork among students, improve performance and develop interpersonal competences. Responsibility and cooperation are two fundamental pillars of cooperative learning. Team members' responsibility is a necessary condition for the team's success in the assigned tasks. Students must be aware that they depend on each other and should make their maximum effort. On the other hand, in efficient groups, the members cooperate and pool their efforts to achieve the proposed goals. In this research, we propose to create a Questionnaire of Group Responsibility and Cooperation in Learning Teams (CRCG) . Participants in this work were 375 students from the Faculty of Teacher Training of the University of Extremadura (Spain). The CRCG has very acceptable psychometric characteristics, good internal consistency, and temporal reliability. Moreover, structural equation analysis allowed us to verify that the latent variables in the two factors found are well defined and, therefore, their assessment is adequate. Besides, we found high significant correlations between the Learning Team Potency Questionnaire (CPEA) and the total score and the factors of the CRCG. This tool will evaluate cooperative skills and offer faculty information in order to prepare students for teamwork and conflict resolution.
León-del-Barco, Benito; Mendo-Lázaro, Santiago; Felipe-Castaño, Elena; Fajardo-Bullón, Fernando; Iglesias-Gallego, Damián
2018-01-01
Cooperative learning are being used increasingly in the university classroom, in order to promote teamwork among students, improve performance and develop interpersonal competences. Responsibility and cooperation are two fundamental pillars of cooperative learning. Team members’ responsibility is a necessary condition for the team’s success in the assigned tasks. Students must be aware that they depend on each other and should make their maximum effort. On the other hand, in efficient groups, the members cooperate and pool their efforts to achieve the proposed goals. In this research, we propose to create a Questionnaire of Group Responsibility and Cooperation in Learning Teams (CRCG). Participants in this work were 375 students from the Faculty of Teacher Training of the University of Extremadura (Spain). The CRCG has very acceptable psychometric characteristics, good internal consistency, and temporal reliability. Moreover, structural equation analysis allowed us to verify that the latent variables in the two factors found are well defined and, therefore, their assessment is adequate. Besides, we found high significant correlations between the Learning Team Potency Questionnaire (CPEA) and the total score and the factors of the CRCG. This tool will evaluate cooperative skills and offer faculty information in order to prepare students for teamwork and conflict resolution. PMID:29593622
ERIC Educational Resources Information Center
Çolak, Esma
2015-01-01
Problem Statement: For this study, a cooperative learning process was designed in which students with different learning styles could help each other in heterogeneous groups to perform teamwork-based activities. One aspect deemed important in this context was whether the instructional environment designed to reach students with different learning…
Cooperative Learning Instruction for Conceptual Change in the Concepts of Chemical Kinetics
ERIC Educational Resources Information Center
Kirik, Ozgecan Tastan; Boz, Yezdan
2012-01-01
Learning is a social event and so the students need learning environments that enable them to work with their peers so that they can learn through their interactions. This study discusses the effectiveness of cooperative learning compared to traditional instruction in terms of students' motivation and understanding of chemical kinetics in a high…
ERIC Educational Resources Information Center
Todd, Anita M.
2013-01-01
This quasi-experimental, static-group comparison study of two non-equivalent groups examined how Work-Integrated Learning (WIL) community participation of at-work, cooperative education students affected student perceived performance, perceived learning, and measured learning with student grade point average (GPA) and work term as covariates. The…
Cooperative Learning Model toward a Reading Comprehensions on the Elementary School
ERIC Educational Resources Information Center
Murtono
2015-01-01
The purposes of this research are: (1) description of reading skill the students who join in CIRC learning model, Jigsaw learning model, and STAD learning model; (2) finding out the effective of learning model cooperative toward a reading comprehensions between the students who have high language logic and low language logic; and (3) finding out…
What Makes Cooperative Learning Work.
ERIC Educational Resources Information Center
Johnson, David W.; Johnson, Roger T.
This paper gives an introduction to cooperative learning (CL), providing a definition of what it is and is not (pseudo-learning groups, traditional classroom learning groups), discussing basic principles, describing two basic types of CL (formal and informal), and listing the benefits of CL suggested by previous research. In order to understand…
Cooperative Learning: Smart Pedagogy and Tools for Online and Hybrid Courses
ERIC Educational Resources Information Center
Gradel, Kathleen; Edson, Alden J.
2011-01-01
This article focuses on meshing technology-enhanced learning with cooperative learning pedagogy, to address teaching/learning challenges in higher education online and hybrid courses. Illustrations of implementation are made using coursework exemplars. Start-up solutions and sample applications are summarized. The purposes of this article are to…
Science Integrating Learning Objectives: A Cooperative Learning Group Process
ERIC Educational Resources Information Center
Spindler, Matt
2015-01-01
The integration of agricultural and science curricular content that capitalizes on natural and inherent connections represents a challenge for secondary agricultural educators. The purpose of this case study was to create information about the employment of Cooperative Learning Groups (CLG) to enhance the science integrating learning objectives…
Cooperative learning in science: intervention in the secondary school
NASA Astrophysics Data System (ADS)
Topping, K. J.; Thurston, A.; Tolmie, A.; Christie, D.; Murray, P.; Karagiannidou, E.
2011-04-01
The use of cooperative learning in secondary school is reported - an area of considerable concern given attempts to make secondary schools more interactive and gain higher recruitment to university science courses. In this study the intervention group was 259 pupils aged 12-14 years in nine secondary schools, taught by 12 self-selected teachers. Comparison pupils came from both intervention and comparison schools (n = 385). Intervention teachers attended three continuing professional development days, in which they received information, engaged with resource packs and involved themselves in cooperative learning. Measures included both general and specific tests of science, attitudes to science, sociometry, self-esteem, attitudes to cooperative learning and transferable skills (all for pupils) and observation of implementation fidelity. There were increases during cooperative learning in pupil formulation of propositions, explanations and disagreements. Intervened pupils gained in attainment, but comparison pupils gained even more. Pupils who had experienced cooperative learning in primary school had higher pre-test scores in secondary education irrespective of being in the intervention or comparison group. On sociometry, comparison pupils showed greater affiliation to science work groups for work, but intervention pupils greater affiliation to these groups at break and out of school. Other measures were not significant. The results are discussed in relation to practice and policy implications.
Cooperative learning as applied to resident instruction in radiology reporting.
Mueller, Donald; Georges, Alexandra; Vaslow, Dale
2007-12-01
The study is designed to evaluate the effectiveness of an active form of resident instruction, cooperative learning, and the residents' response to that form of instruction. The residents dictated three sets of reports both before and after instruction in radiology reporting using the cooperative learning method. The reports were evaluated for word count, Flesch-Kincaid grade level, advancement on clinical spectrum, clarity, and comparison to prior reports. The reports were evaluated for changes in performance characteristics between the pre- and postinstruction dictations. The residents' response to this form of instruction was evaluated by means of a questionnaire. The instruction was effective in changing the resident dictations. The results became shorter (P<.035), more complex (P<.0126), and demonstrated increased advancement on clinical spectrum (P<.0204). The resident response to this form of instruction was positive. One hundred percent or respondents indicated enjoyment working with their groups. Seventy-five percent stated they would like to participate in more cooperative learning activities. The least positive responses related to the amount of time devoted to the project. Sixty-three percent of respondents stated that the time devoted to the project was appropriate. Cooperative learning can be an effective tool in the setting of the radiology residency. Instructional time requirements must be strongly considered in designing a cooperative learning program.
NASA Astrophysics Data System (ADS)
Werth, Arman Karl
Cooperative learning has been one of the most widely used instructional practices around the world since the early 1980's. Small learning groups have been in existence since the beginning of the human race. These groups have grown in their variance and complexity overtime. Classrooms are getting more diverse every year and instructors need a way to take advantage of this diversity to improve learning. The purpose of this study was to see if heterogeneous cooperative learning groups based on student achievement can be used as a differentiated instructional strategy to increase students' ability to demonstrate knowledge of science concepts and ability to do engineering design. This study includes two different groups made up of two different middle school science classrooms of 25-30 students. These students were given an engineering design problem to solve within cooperative learning groups. One class was put into heterogeneous cooperative learning groups based on student's pre-test scores. The other class was grouped based on random assignment. The study measured the difference between each class's pre-post gains, student's responses to a group interaction form and interview questions addressing their perceptions of the makeup of their groups. The findings of the study were that there was no significant difference between learning gains for the treatment and comparison groups. There was a significant difference between the treatment and comparison groups in student perceptions of their group's ability to stay on task and manage their time efficiently. Both the comparison and treatment groups had a positive perception of the composition of their cooperative learning groups.
Population Fluctuation Promotes Cooperation in Networks
Miller, Steve; Knowles, Joshua
2015-01-01
We consider the problem of explaining the emergence and evolution of cooperation in dynamic network-structured populations. Building on seminal work by Poncela et al., which shows how cooperation (in one-shot prisoner’s dilemma) is supported in growing populations by an evolutionary preferential attachment (EPA) model, we investigate the effect of fluctuations in the population size. We find that a fluctuating model – based on repeated population growth and truncation – is more robust than Poncela et al.’s in that cooperation flourishes for a wider variety of initial conditions. In terms of both the temptation to defect, and the types of strategies present in the founder network, the fluctuating population is found to lead more securely to cooperation. Further, we find that this model will also support the emergence of cooperation from pre-existing non-cooperative random networks. This model, like Poncela et al.’s, does not require agents to have memory, recognition of other agents, or other cognitive abilities, and so may suggest a more general explanation of the emergence of cooperation in early evolutionary transitions, than mechanisms such as kin selection, direct and indirect reciprocity. PMID:26061705
ERIC Educational Resources Information Center
Walker, Alicia; Bush, Amy; Sanchagrin, Ken; Holland, Jonathon
2017-01-01
This study examined possible ways to increase student engagement in small sections of a large, introductory-level, required university course. Research shows that cooperative group learning boosts achievement through fostering better interpersonal relationships between students. Cooperative group learning is an evidence-based instructional…
Enhancing Thinking through Cooperative Learning.
ERIC Educational Resources Information Center
Davidson, Neil, Ed.; Worsham, Toni, Ed.
This collection of papers provides a theoretical foundation on current practice in cooperative thinking. The papers offer many practical methods that can be applied to a full range of classroom settings. After an introduction, "HOTSICLE: Higher Order Thinking Skills in Cooperative Learning Environments" (Neil Davidson and Toni Worsham),…
Cooperative Learning in the College Classroom.
ERIC Educational Resources Information Center
Barratt, Leslie B.
1992-01-01
A college teacher used cooperative learning in English as a Second Language and linguistics classrooms. She discovered international students enjoyed working and writing in small groups and getting to know other students. Linguistics students enjoyed whole-class cooperative projects and papers. All students gained experience in being colleagues.…
A Biologically Inspired Cooperative Multi-Robot Control Architecture
NASA Technical Reports Server (NTRS)
Howsman, Tom; Craft, Mike; ONeil, Daniel; Howell, Joe T. (Technical Monitor)
2002-01-01
A prototype cooperative multi-robot control architecture suitable for the eventual construction of large space structures has been developed. In nature, there are numerous examples of complex architectures constructed by relatively simple insects, such as termites and wasps, which cooperatively assemble their nests. The prototype control architecture emulates this biological model. Actions of each of the autonomous robotic construction agents are only indirectly coordinated, thus mimicking the distributed construction processes of various social insects. The robotic construction agents perform their primary duties stigmergically i.e., without direct inter-agent communication and without a preprogrammed global blueprint of the final design. Communication and coordination between individual agents occurs indirectly through the sensed modifications that each agent makes to the structure. The global stigmergic building algorithm prototyped during the initial research assumes that the robotic builders only perceive the current state of the structure under construction. Simulation studies have established that an idealized form of the proposed architecture was indeed capable of producing representative large space structures with autonomous robots. This paper will explore the construction simulations in order to illustrate the multi-robot control architecture.
A Stigmergic Cooperative Multi-Robot Control Architecture
NASA Technical Reports Server (NTRS)
Howsman, Thomas G.; O'Neil, Daniel; Craft, Michael A.
2004-01-01
In nature, there are numerous examples of complex architectures constructed by relatively simple insects, such as termites and wasps, which cooperatively assemble their nests. A prototype cooperative multi-robot control architecture which may be suitable for the eventual construction of large space structures has been developed which emulates this biological model. Actions of each of the autonomous robotic construction agents are only indirectly coordinated, thus mimicking the distributed construction processes of various social insects. The robotic construction agents perform their primary duties stigmergically, i.e., without direct inter-agent communication and without a preprogrammed global blueprint of the final design. Communication and coordination between individual agents occurs indirectly through the sensed modifications that each agent makes to the structure. The global stigmergic building algorithm prototyped during the initial research assumes that the robotic builders only perceive the current state of the structure under construction. Simulation studies have established that an idealized form of the proposed architecture was indeed capable of producing representative large space structures with autonomous robots. This paper will explore the construction simulations in order to illustrate the multi-robot control architecture.
Composite Agency: Semiotics of Modularity and Guiding Interactions.
Sharov, Alexei A
2017-07-01
Principles of constructivism are used here to explore how organisms develop tools, subagents, scaffolds, signs, and adaptations. Here I discuss reasons why organisms have composite nature and include diverse subagents that interact in partially cooperating and partially conflicting ways. Such modularity is necessary for efficient and robust functionality, including mutual construction and adaptability at various time scales. Subagents interact via material and semiotic relations, some of which force or prescribe actions of partners. Other interactions, which I call "guiding", do not have immediate effects and do not disrupt the evolution and learning capacity of partner agents. However, they modify the extent of learning and evolutionary possibilities of partners via establishment of scaffolds and constraints. As a result, subagents construct reciprocal scaffolding for each other to rebalance their communal evolution and learning. As an example, I discuss guiding interactions between the body and mind of animals, where the pain system adjusts mind-based learning to the physical and physiological constraints of the body. Reciprocal effects of mind and behaviors on the development and evolution of the body includes the effects of Lamarck and Baldwin.
Asynchronous Cooperative e-Learning System and Its Evaluation
NASA Astrophysics Data System (ADS)
Eto, Kazuhiro; Miyoshi, Takumi
Much attention has been attracted to collaborative learning on an e-learning system. However, it is difficult to implement the collaborative environment to an asynchronous e-learning system since collaboration would be realized only when learners join the system at the same time. On the other hand, cooperative learning has been proposed. In this method, learners can study on their own pace without making mutual agreement but with receiving cognitive information from others. In this paper, the authors have developed the asynchronous cooperative e-learning system that provides learners' attendance and studying progress as the cognitive information. The subjective evaluation experiments show that our system is slightly inferior to the synchronous collaborative e-learning system, but it can motivate the learners more than the conventional system.
Cooperation-Controlled Learning for Explicit Class Structure in Self-Organizing Maps
Kamimura, Ryotaro
2014-01-01
We attempt to demonstrate the effectiveness of multiple points of view toward neural networks. By restricting ourselves to two points of view of a neuron, we propose a new type of information-theoretic method called “cooperation-controlled learning.” In this method, individual and collective neurons are distinguished from one another, and we suppose that the characteristics of individual and collective neurons are different. To implement individual and collective neurons, we prepare two networks, namely, cooperative and uncooperative networks. The roles of these networks and the roles of individual and collective neurons are controlled by the cooperation parameter. As the parameter is increased, the role of cooperative networks becomes more important in learning, and the characteristics of collective neurons become more dominant. On the other hand, when the parameter is small, individual neurons play a more important role. We applied the method to the automobile and housing data from the machine learning database and examined whether explicit class boundaries could be obtained. Experimental results showed that cooperation-controlled learning, in particular taking into account information on input units, could be used to produce clearer class structure than conventional self-organizing maps. PMID:25309950
Fundamental properties of cooperative contagion processes
NASA Astrophysics Data System (ADS)
Chen, Li; Ghanbarnejad, Fakhteh; Brockmann, Dirk
2017-10-01
We investigate the effects of cooperativity between contagion processes that spread and persist in a host population. We propose and analyze a dynamical model in which individuals that are affected by one transmissible agent A exhibit a higher than baseline propensity of being affected by a second agent B and vice versa. The model is a natural extension of the traditional susceptible-infected-susceptible model used for modeling single contagion processes. We show that cooperativity changes the dynamics of the system considerably when cooperativity is strong. The system exhibits discontinuous phase transitions not observed in single agent contagion, multi-stability, a separation of the traditional epidemic threshold into different thresholds for inception and extinction as well as hysteresis. These properties are robust and are corroborated by stochastic simulations on lattices and generic network topologies. Finally, we investigate wave propagation and transients in a spatially extended version of the model and show that especially for intermediate values of baseline reproduction ratios the system is characterized by various types of wave-front speeds. The system can exhibit spatially heterogeneous stationary states for some parameters and negative front speeds (receding wave fronts). The two agent model can be employed as a starting point for more complex contagion processes, involving several interacting agents, a model framework particularly suitable for modeling the spread and dynamics of microbiological ecosystems in host populations.
ERIC Educational Resources Information Center
Onwuegbuzie, Anthony J.; Collins, Kathleen M. T.; Jiao, Qun G.
2009-01-01
This study investigated the degree that social interdependence predicted the achievement of 26 cooperative learning groups. Social interdependence was assessed in terms of postgraduate students' individual orientation (that is, cooperative, competitive, and individualistic). Participants were 84 postgraduate students enrolled in an…
Explaining Helping Behavior in a Cooperative Learning Classroom Setting Using Attribution Theory
ERIC Educational Resources Information Center
Ahles, Paula M.; Contento, Jann M.
2006-01-01
This recently completed study examined whether attribution theory can explain helping behavior in an interdependent classroom environment that utilized a cooperative-learning model. The study focused on student participants enrolled in 6 community college communication classes taught by the same instructor. Three levels of cooperative-learning…
Cooperative Learning versus Competition: Which Is Better?
ERIC Educational Resources Information Center
Ediger, Marlow
Most educators advocate cooperative learning in the curriculum. Heterogeneous grouping is also recommended so that students with mixed achievement levels work in a committee setting. Cooperative endeavors stress democracy as a way of life, according to many educators, as compared to competition in the classroom. This paper examines the philosophy…
Burnout among Extension Agents in the Ohio Cooperative Extension Service.
ERIC Educational Resources Information Center
Igodan, O. Chris; Newcomb, L. H.
A study examined the extent and causes of burnout among extension agents in Ohio. From the 241 extension agents working in the 88 counties of Ohio, researchers selected a random sample of 101 agents. Included in the sample were 34 agriculture agents, 33 home economics agents. Included in the sample agents were asked to complete a survey…
Cooperative Learning in Science: Follow-up from primary to high school
NASA Astrophysics Data System (ADS)
Thurston, Allen; Topping, Keith J.; Tolmie, Andrew; Christie, Donald; Karagiannidou, Eleni; Murray, Pauline
2010-03-01
This paper reports a two-year longitudinal study of the effects of cooperative learning on science attainment, attitudes towards science, and social connectedness during transition from primary to high school. A previous project on cooperative learning in primary schools observed gains in science understanding and in social aspects of school life. This project followed 204 children involved in the previous project and 440 comparison children who were not as they undertook transition from 24 primary schools to 16 high schools. Cognitive, affective, and social gains observed in the original project survived transition. The implications improving the effectiveness of school transition by using cooperative learning initiatives are explored. Possibilities for future research and the implications for practice and policy are discussed.
ERIC Educational Resources Information Center
Korkmaz Toklucu, Selma; Tay, Bayram
2016-01-01
Problem Statement: Many effective instructional strategies, methods, and techniques, which were developed in accordance with constructivist approach, can be used together in social studies lessons. Constructivist education comprises active learning processes. Two active learning approaches are cooperative learning and systematic teaching. Purpose…
Successful Group Work: Using Cooperative Learning and Team-Based Learning in the Classroom
ERIC Educational Resources Information Center
Grant-Vallone, E. J.
2011-01-01
This research study examined student perceptions of group experiences in the classroom. The author used cooperative learning and team-based learning to focus on three characteristics that are critical for the success of groups: structure of activities, relationships of group members, and accountability of group members. Results indicated that…
Team-Based Learning in Honors Science Education: The Benefit of Complex Writing Assignments
ERIC Educational Resources Information Center
Wiegant, Fred; Boonstra, Johannes; Peeters, Anton; Scager, Karin
2012-01-01
Cooperative learning and team-based learning have been widely recognized as beneficial strategies to improve all levels of education, including higher education. Just forming groups, however, does not automatically lead to better learning and motivation; cooperation flourishes only under appropriate conditions (Fink; Gillies; Parmelee et al.).…
ERIC Educational Resources Information Center
Johnson, Roger; And Others
1985-01-01
Compared effects of cooperative learning activities (with and without structured controversy) and individualistic learning activities on the achievement and attitudes of fifth graders (N=84) toward wolves. Results show that cooperative-controversy resulted in the highest achievement, greatest motivation to learn about wolves, and more positive…
Interinstitutional Cooperation Among Educational Organizations
ERIC Educational Resources Information Center
Whaley, J. Patrick
1973-01-01
Educational institutions deciding whether to carry on a cooperative venture with another educational institution (to reduce costs) must consider the tax consequences. This article discusses the tax considerations involved in such cooperative arrangements for the various organizational forms: principal-agent, co-ownership, partnership or joint…
NASA Astrophysics Data System (ADS)
Colasante, Annarita
2017-02-01
This paper presents an investigation about cooperation in a Public Good Game using an Agent Based Model calibrated on experimental data. Starting from the experiment proposed in Colasante and Russo (2016), we analyze the dynamic of cooperation in a Public Good Game where agents receive an heterogeneous income and choose both the level of contribution and the distribution rule. The starting point is the calibration and the output validation of the model using the experimental results. Once tested the goodness of fit of the Agent Based Model, we run some policy experiment in order to verify how each distribution rule, i.e. equidistribution, proportional to contribution and progressive, affects the level of contribution in the simulated model. We find out that the share of cooperators decreases over time if we exogenously set the equidistribution rule. On the contrary, the share of cooperators converges to 100 % if we impose the progressive rule. Finally, the most interesting result refers to the effect of the progressive rule. We observe that, in the case of high inequality, this rule is not able to reduce the heterogeneity of income.
Implementation of a cooperative methodology to develop organic chemical engineering skills
NASA Astrophysics Data System (ADS)
Arteaga, J. F.; Díaz Blanco, M. J.; Toscano Fuentes, C.; Martín Alfonso, J. E.
2013-08-01
The objective of this work is to investigate how most of the competences required by engineering students may be developed through an active methodology based on cooperative learning/evaluation. Cooperative learning was employed by the University of Huelva's third-year engineering students. The teaching methodology pretends to create some of the most relevant engineering skills required nowadays such as the ability to cooperate finding appropriate information; the ability to solve problems through critical and creative thinking; and the ability to make decisions and to communicate effectively. The statistical study carried out supports the hypothesis that comprehensive and well-defined protocols in the development of the subject, the rubric and cooperative evaluation allow students to acquire a successful learning.
NASA Astrophysics Data System (ADS)
Fasni, Nurli; Fatimah, Siti; Yulanda, Syerli
2017-05-01
This research aims to achieve some purposes such as: to know whether mathematical problem solving ability of students who have learned mathematics using Multiple Intelligences based teaching model is higher than the student who have learned mathematics using cooperative learning; to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using Multiple Intelligences based teaching model., to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using cooperative learning; to know the attitude of the students to Multiple Intelligences based teaching model. The method employed here is quasi-experiment which is controlled by pre-test and post-test. The population of this research is all of VII grade in SMP Negeri 14 Bandung even-term 2013/2014, later on two classes of it were taken for the samples of this research. A class was taught using Multiple Intelligences based teaching model and the other one was taught using cooperative learning. The data of this research were gotten from the test in mathematical problem solving, scale questionnaire of the student attitudes, and observation. The results show the mathematical problem solving of the students who have learned mathematics using Multiple Intelligences based teaching model learning is higher than the student who have learned mathematics using cooperative learning, the mathematical problem solving ability of the student who have learned mathematics using cooperative learning and Multiple Intelligences based teaching model are in intermediate level, and the students showed the positive attitude in learning mathematics using Multiple Intelligences based teaching model. As for the recommendation for next author, Multiple Intelligences based teaching model can be tested on other subject and other ability.
Evolutionary Games in Multi-Agent Systems of Weighted Social Networks
NASA Astrophysics Data System (ADS)
Du, Wen-Bo; Cao, Xian-Bin; Zheng, Hao-Ran; Zhou, Hong; Hu, Mao-Bin
Much empirical evidence has shown realistic networks are weighted. Compared with those on unweighted networks, the dynamics on weighted network often exhibit distinctly different phenomena. In this paper, we investigate the evolutionary game dynamics (prisoner's dilemma game and snowdrift game) on a weighted social network consisted of rational agents and focus on the evolution of cooperation in the system. Simulation results show that the cooperation level is strongly affected by the weighted nature of the network. Moreover, the variation of time series has also been investigated. Our work may be helpful in understanding the cooperative behavior in the social systems.
Cooperation based dynamic team formation in multi-agent auctions
NASA Astrophysics Data System (ADS)
Pippin, Charles E.; Christensen, Henrik
2012-06-01
Auction based methods are often used to perform distributed task allocation on multi-agent teams. Many existing approaches to auctions assume fully cooperative team members. On in-situ and dynamically formed teams, reciprocal collaboration may not always be a valid assumption. This paper presents an approach for dynamically selecting auction partners based on observed team member performance and shared reputation. In addition, we present the use of a shared reputation authority mechanism. Finally, experiments are performed in simulation on multiple UAV platforms to highlight situations in which it is better to enforce cooperation in auctions using this approach.
Emergency response nurse scheduling with medical support robot by multi-agent and fuzzy technique.
Kono, Shinya; Kitamura, Akira
2015-08-01
In this paper, a new co-operative re-scheduling method corresponding the medical support tasks that the time of occurrence can not be predicted is described, assuming robot can co-operate medical activities with the nurse. Here, Multi-Agent-System (MAS) is used for the co-operative re-scheduling, in which Fuzzy-Contract-Net (FCN) is applied to the robots task assignment for the emergency tasks. As the simulation results, it is confirmed that the re-scheduling results by the proposed method can keep the patients satisfaction and decrease the work load of the nurse.
Group Cooperation without Group Selection: Modest Punishment Can Recruit Much Cooperation
Cosmides, Leda; Tooby, John
2015-01-01
Humans everywhere cooperate in groups to achieve benefits not attainable by individuals. Individual effort is often not automatically tied to a proportionate share of group benefits. This decoupling allows for free-riding, a strategy that (absent countermeasures) outcompetes cooperation. Empirically and formally, punishment potentially solves the evolutionary puzzle of group cooperation. Nevertheless, standard analyses appear to show that punishment alone is insufficient, because second-order free riders (those who cooperate but do not punish) can be shown to outcompete punishers. Consequently, many have concluded that other processes, such as cultural or genetic group selection, are required. Here, we present a series of agent-based simulations that show that group cooperation sustained by punishment easily evolves by individual selection when you introduce into standard models more biologically plausible assumptions about the social ecology and psychology of ancestral humans. We relax three unrealistic assumptions of past models. First, past models assume all punishers must punish every act of free riding in their group. We instead allow punishment to be probabilistic, meaning punishers can evolve to only punish some free riders some of the time. This drastically lowers the cost of punishment as group size increases. Second, most models unrealistically do not allow punishment to recruit labor; punishment merely reduces the punished agent’s fitness. We instead realistically allow punished free riders to cooperate in the future to avoid punishment. Third, past models usually restrict agents to interact in a single group their entire lives. We instead introduce realistic social ecologies in which agents participate in multiple, partially overlapping groups. Because of this, punitive tendencies are more expressed and therefore more exposed to natural selection. These three moves toward greater model realism reveal that punishment and cooperation easily evolve by direct selection—even in sizeable groups. PMID:25893241
Intuition, deliberation, and the evolution of cooperation
Bear, Adam; Rand, David G.
2016-01-01
Humans often cooperate with strangers, despite the costs involved. A long tradition of theoretical modeling has sought ultimate evolutionary explanations for this seemingly altruistic behavior. More recently, an entirely separate body of experimental work has begun to investigate cooperation’s proximate cognitive underpinnings using a dual-process framework: Is deliberative self-control necessary to reign in selfish impulses, or does self-interested deliberation restrain an intuitive desire to cooperate? Integrating these ultimate and proximate approaches, we introduce dual-process cognition into a formal game-theoretic model of the evolution of cooperation. Agents play prisoner’s dilemma games, some of which are one-shot and others of which involve reciprocity. They can either respond by using a generalized intuition, which is not sensitive to whether the game is one-shot or reciprocal, or pay a (stochastically varying) cost to deliberate and tailor their strategy to the type of game they are facing. We find that, depending on the level of reciprocity and assortment, selection favors one of two strategies: intuitive defectors who never deliberate, or dual-process agents who intuitively cooperate but sometimes use deliberation to defect in one-shot games. Critically, selection never favors agents who use deliberation to override selfish impulses: Deliberation only serves to undermine cooperation with strangers. Thus, by introducing a formal theoretical framework for exploring cooperation through a dual-process lens, we provide a clear answer regarding the role of deliberation in cooperation based on evolutionary modeling, help to organize a growing body of sometimes-conflicting empirical results, and shed light on the nature of human cognition and social decision making. PMID:26755603
Preferential partner selection in an evolutionary study of Prisoner's Dilemma.
Ashlock, D; Smucker, M D; Stanley, E A; Tesfatsion, L
1996-01-01
Partner selection is an important process in many social interactions, permitting individuals to decrease the risks associated with cooperation. In large populations, defectors may escape punishment by roving from partner to partner, but defectors in smaller populations risk social isolation. We investigate these possibilities for an evolutionary Prisoner's Dilemma in which agents use expected payoffs to choose and refuse partners. In comparison to random or round-robin partner matching, we find that the average payoffs attained with preferential partner selection tend to be more narrowly confined to a few isolated payoff regions. Most ecologies evolve to essentially full cooperative behavior, but when agents are intolerant of defections, or when the costs of refusal and social isolation are small, we also see the emergence of wallflower ecologies in which all agents are socially isolated. Between these two extremes, we see the emergence of ecologies whose agents tend to engage in a small number of defections followed by cooperation thereafter. The latter ecologies exhibit a plethora of interesting social interaction patterns.
Classroom Research in Accounting: Assessing for Learning.
ERIC Educational Resources Information Center
Cottell, Philip G., Jr.
1991-01-01
The use of several college classroom assessment techniques to evaluate the processes and products of accounting instruction through cooperative learning is described. The discussion looks at considerations in planning classroom assessment, choosing initial assessment techniques and adapting them, and blending cooperative learning structures with…
Pressure to cooperate: is positive reward interdependence really needed in cooperative learning?
Buchs, Céline; Gilles, Ingrid; Dutrévis, Marion; Butera, Fabrizio
2011-03-01
BACKGROUND. Despite extensive research on cooperative learning, the debate regarding whether or not its effectiveness depends on positive reward interdependence has not yet found clear evidence. AIMS. We tested the hypothesis that positive reward interdependence, as compared to reward independence, enhances cooperative learning only if learners work on a 'routine task'; if the learners work on a 'true group task', positive reward interdependence induces the same level of learning as reward independence. SAMPLE. The study involved 62 psychology students during regular workshops. METHOD. Students worked on two psychology texts in cooperative dyads for three sessions. The type of task was manipulated through resource interdependence: students worked on either identical (routine task) or complementary (true group task) information. Students expected to be assessed with a Multiple Choice Test (MCT) on the two texts. The MCT assessment type was introduced according to two reward interdependence conditions, either individual (reward independence) or common (positive reward interdependence). A follow-up individual test took place 4 weeks after the third session of dyadic work to examine individual learning. RESULTS. The predicted interaction between the two types of interdependence was significant, indicating that students learned more with positive reward interdependence than with reward independence when they worked on identical information (routine task), whereas students who worked on complementary information (group task) learned the same with or without reward interdependence. CONCLUSIONS. This experiment sheds light on the conditions under which positive reward interdependence enhances cooperative learning, and suggests that creating a real group task allows to avoid the need for positive reward interdependence. © 2010 The British Psychological Society.
ERIC Educational Resources Information Center
Lazarowitz, Reuven; Hertz-Lazarowitz, Rachel; Khalil, Mahmood; Ron, Salit
2013-01-01
The model of the six mirrors of the classroom and its use in teaching biology in a cooperative learning mode were implemented in high school classrooms. In this study we present: a) The model of the six mirrors of the classroom (MSMC). b) Cooperative learning settings: 1. The Group Investigation; 2. The Jigsaw Method; and 3. Peer Tutoring in Small…
Evaluating the Cooperative Component in Cooperative Learning: A Quasi-Experimental Study
ERIC Educational Resources Information Center
Emerson, Tisha L. N.; English, Linda K.; McGoldrick, KimMarie
2015-01-01
In this study, the authors employed a quasi-experimental research design to examine the efficacy of a cooperative learning pedagogy (i.e., think-pair-share exercises) integrated into sections of microeconomic principles. Materials, exercises, and assessment instruments for all study sections are identical except for the nature of the…
The Development and Evaluation of Speaking Learning Model by Cooperative Approach
ERIC Educational Resources Information Center
Darmuki, Agus; Andayani; Nurkamto, Joko; Saddhono, Kundharu
2018-01-01
A cooperative approach-based Speaking Learning Model (SLM) has been developed to improve speaking skill of Higher Education students. This research aimed at evaluating the effectiveness of cooperative-based SLM viewed from the development of student's speaking ability and its effectiveness on speaking activity. This mixed method study combined…
Explaining Cooperation in Groups: Testing Models of Reciprocity and Learning
ERIC Educational Resources Information Center
Biele, Guido; Rieskamp, Jorg; Czienskowski, Uwe
2008-01-01
What are the cognitive processes underlying cooperation in groups? This question is addressed by examining how well a reciprocity model, two learning models, and social value orientation can predict cooperation in two iterated n-person social dilemmas with continuous contributions. In the first of these dilemmas, the public goods game,…
ERIC Educational Resources Information Center
Gambari, Isiaka Amosa; Yusuf, Mudasiru Olalere
2016-01-01
This study investigated the effects of computer-assisted Jigsaw II cooperative strategy on physics achievement and retention. The study also determined how moderating variables of achievement levels as it affects students' performance in physics when Jigsaw II cooperative learning is used as an instructional strategy. Purposive sampling technique…
Cooperative Work Groups: Preparing Students for the Real World.
ERIC Educational Resources Information Center
Mandel, Scott M.
This book outlines how educators can design meaningful learning experiences that address standards and utilize cooperative learning, brain research, and the Internet to effectively develop a students' ability to thrive in the 21st century workplace. After an introduction that explains cooperative work groups, there are 13 chapters in four parts.…
ERIC Educational Resources Information Center
Cosden, Merith; And Others
1985-01-01
Elementary children (N=138) in LD-NLD or NLD-LD (learning disabled - nonlearning disabled) dyads were individually tested on reading comprehension after study periods which emphasized either cooperative or individual study behaviors and goal incentives. There were sex differences in the impact of cooperative goal structures on attitudes,…
Safety. A Guide for Industrial Cooperative Training Programs. Learning Activity Package. LAP 6.
ERIC Educational Resources Information Center
Duenk, Lester G.; Lear, George
This learning activity package, one of six intended for use in Industrial Cooperative Training Programs, is designed to provide students with information on several general safety topics which would apply in most employment situations. (The industrial cooperative training program provides industrial occupational training experience for high school…
Trust as commodity: social value orientation affects the neural substrates of learning to cooperate.
Lambert, Bruno; Declerck, Carolyn H; Emonds, Griet; Boone, Christophe
2017-04-01
Individuals differ in their motives and strategies to cooperate in social dilemmas. These differences are reflected by an individual's social value orientation: proselfs are strategic and motivated to maximize self-interest, while prosocials are more trusting and value fairness. We hypothesize that when deciding whether or not to cooperate with a random member of a defined group, proselfs, more than prosocials, adapt their decisions based on past experiences: they 'learn' instrumentally to form a base-line expectation of reciprocity. We conducted an fMRI experiment where participants (19 proselfs and 19 prosocials) played 120 sequential prisoner's dilemmas against randomly selected, anonymous and returning partners who cooperated 60% of the time. Results indicate that cooperation levels increased over time, but that the rate of learning was steeper for proselfs than for prosocials. At the neural level, caudate and precuneus activation were more pronounced for proselfs relative to prosocials, indicating a stronger reliance on instrumental learning and self-referencing to update their trust in the cooperative strategy. © The Author (2017). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.
Cooperative Learning as a Tool To Teach Vertebrate Anatomy.
ERIC Educational Resources Information Center
Koprowski, John L.; Perigo, Nan
2000-01-01
Describes a method for teaching biology that includes more investigative exercises that foster an environment for cooperative learning in introductory laboratories that focus on vertebrates. Fosters collaborative learning by facilitating interaction between students as they become experts on their representative vertebrate structures. (SAH)
Towards Cooperative Learning in Elementary School Physical Education
ERIC Educational Resources Information Center
Kirchner, Glenn
2005-01-01
The extensive amount of research evidence, at all levels of education and with all subject areas, consistently indicates that cooperative learning results in higher achievement, increased positive interpersonal relationships, and higher self-esteem than competitive or individualistic efforts. In physical education, individualistic learning is an…
Memory does not necessarily promote cooperation in dilemma games
NASA Astrophysics Data System (ADS)
Wang, Tao; Chen, Zhigang; Li, Kenli; Deng, Xiaoheng; Li, Deng
2014-02-01
Evolutionary games can model dilemmas for which cooperation can exist in rational populations. According to intuition, memory of the history can help individuals to overcome the dilemma and increase cooperation. However, here we show that no such general predictions can be made for dilemma games with memory. Agents play repeated prisoner’s dilemma, snowdrift, or stag hunt games in well-mixed populations or on a lattice. We compare the cooperation ratio and fitness for systems with or without memory. An interesting result is that cooperation is demoted in snowdrift and stag hunt games with memory when cost-to-benefit ratio is low, while system fitness still increases with memory in the snowdrift game. To illustrate this interesting phenomenon, two further experiments were performed to study R, ST, and P reciprocity and investigate 16 agent strategies for one-step memory. The results show that memory plays different roles in different dilemma games.
Collaborative and Cooperative Learning Techniques. Learning Package No. 6.
ERIC Educational Resources Information Center
Compton, Joe; Smith, Carl, Comp.
Originally developed for the Department of Defense Schools (DoDDS) system, this learning package on collaborative and cooperative learning techniques is designed for teachers who wish to upgrade or expand their teaching skills on their own. The package includes a comprehensive search of the ERIC database; a lecture giving an overview on the topic;…
ERIC Educational Resources Information Center
Hsiung, C. -M.
2010-01-01
The present study conducts an experimental investigation to compare the efficiency of the cooperative learning method with that of the traditional learning method. A total of 42 engineering students are randomly assigned to the two learning conditions and are formed into mixed-ability groups comprising three team members. In addition to the…
Collaborative Learning or Cooperative Learning? The Name Is Not Important; Flexibility Is
ERIC Educational Resources Information Center
Jacobs, George M.
2015-01-01
A great deal of theory and research, not to mention students' and teachers' practical experience, supports the use of group activities in education. Collaborative learning and cooperative learning are two terms commonly used in discussions of how and why to use group activities. This article looks at the issue of whether the two…
Impact of Cooperative Learning in Developing Students' Cognitive Abilities for Academic Achievement
ERIC Educational Resources Information Center
Hoorani, Bareerah Hafeez
2014-01-01
This study used an Action Research Method to investigate ways to improve the thinking and reasoning skills of grade eight science students in an under-resourced school in Karachi. The students' rote learning patterns were challenged using the schema provided by Blooms' taxonomy of learning domains. A cooperative learning environment was generated…
Evolvable mathematical models: A new artificial Intelligence paradigm
NASA Astrophysics Data System (ADS)
Grouchy, Paul
We develop a novel Artificial Intelligence paradigm to generate autonomously artificial agents as mathematical models of behaviour. Agent/environment inputs are mapped to agent outputs via equation trees which are evolved in a manner similar to Symbolic Regression in Genetic Programming. Equations are comprised of only the four basic mathematical operators, addition, subtraction, multiplication and division, as well as input and output variables and constants. From these operations, equations can be constructed that approximate any analytic function. These Evolvable Mathematical Models (EMMs) are tested and compared to their Artificial Neural Network (ANN) counterparts on two benchmarking tasks: the double-pole balancing without velocity information benchmark and the challenging discrete Double-T Maze experiments with homing. The results from these experiments show that EMMs are capable of solving tasks typically solved by ANNs, and that they have the ability to produce agents that demonstrate learning behaviours. To further explore the capabilities of EMMs, as well as to investigate the evolutionary origins of communication, we develop NoiseWorld, an Artificial Life simulation in which interagent communication emerges and evolves from initially noncommunicating EMM-based agents. Agents develop the capability to transmit their x and y position information over a one-dimensional channel via a complex, dialogue-based communication scheme. These evolved communication schemes are analyzed and their evolutionary trajectories examined, yielding significant insight into the emergence and subsequent evolution of cooperative communication. Evolved agents from NoiseWorld are successfully transferred onto physical robots, demonstrating the transferability of EMM-based AIs from simulation into physical reality.
Active Learning and Cooperative Learning in the Organic Chemistry Lecture Class
NASA Astrophysics Data System (ADS)
Paulson, Donald R.
1999-08-01
Faculty in the physical sciences are one of the academic groups least receptive to the use of active learning strategies and cooperative learning in their classrooms. This is particularly so in traditional lecture classes. It is the objective of this paper to show how effective these techniques can be in improving student performance in classes. The use of active learning strategies and cooperative learning groups in my organic chemistry lecture classes has increased the overall pass rate in my classes by an astounding 20-30% over the traditional lecture mode. This has been accomplished without any reduction in "standards". The actual methods employed are presented as well as a discussion of how I came to radically change the way I teach my classes.
Patterns of cooperation: fairness and coordination in networks of interacting agents
NASA Astrophysics Data System (ADS)
Do, Anne-Ly; Rudolf, Lars; Gross, Thilo
2010-06-01
We study the self-assembly of a complex network of collaborations among self-interested agents. The agents can maintain different levels of cooperation with different partners. Further, they continuously, selectively and independently adapt the amount of resources allocated to each of their collaborations in order to maximize the obtained payoff. We show analytically that the system approaches a state in which the agents make identical investments, and links produce identical benefits. Despite this high degree of social coordination, some agents manage to secure privileged topological positions in the network, enabling them to extract high payoffs. Our analytical investigations provide a rationale for the emergence of unidirectional non-reciprocal collaborations and different responses to the withdrawal of a partner from an interaction that have been reported in the psychological literature.
Reinhardt, Claus H; Rosen, Evelyne N
2012-09-01
Many studies have demonstrated a superiority of active learning forms compared with traditional lecture. However, there is still debate as to what degree structuring is necessary with regard to high exam outcomes. Seventy-five students from a premedical school were randomly attributed to an active lecture group, a cooperative group, or a collaborative learning group. The active lecture group received lectures with questions to resolve at the end of the lecture. At the same time, the cooperative group and the collaborative group had to work on a problem and prepare presentations for their answers. The collaborative group worked in a mostly self-directed manner; the cooperative group had to follow a time schedule. For the additional work of preparing the poster presentation, the collaborative and cooperative groups were allowed 50% more working time. In part 1, all groups worked on the citric acid cycle, and in part 2, all groups worked on molecular genetics. Collaborative groups had to work on tasks and prepare presentations for their answers. At the end of each part, all three groups were subjected to the same exam. Additionally, in the collaborative and cooperative groups, the presentations were marked. All evaluations were performed by two independent examiners. Exam results of the active lecture groups were highest. Results of the cooperative group were nonsignificantly lower than the active lecture group and significantly higher than the collaborative group. The presentation quality was nonsignificantly higher in the collaborative group compared with the cooperative group. This study shows that active lecturing produced the highest exam results, which significantly differed from collaborative learning results. The additional elaboration in the cooperative and collaborative learning setting yielded the high presentation quality but apparently could not contribute further to exam scores. Cooperative learning seems to be a good compromise if high exam and presentation scores are expected.
Evolution of cooperative strategies from first principles.
Burtsev, Mikhail; Turchin, Peter
2006-04-20
One of the greatest challenges in the modern biological and social sciences is to understand the evolution of cooperative behaviour. General outlines of the answer to this puzzle are currently emerging as a result of developments in the theories of kin selection, reciprocity, multilevel selection and cultural group selection. The main conceptual tool used in probing the logical coherence of proposed explanations has been game theory, including both analytical models and agent-based simulations. The game-theoretic approach yields clear-cut results but assumes, as a rule, a simple structure of payoffs and a small set of possible strategies. Here we propose a more stringent test of the theory by developing a computer model with a considerably extended spectrum of possible strategies. In our model, agents are endowed with a limited set of receptors, a set of elementary actions and a neural net in between. Behavioural strategies are not predetermined; instead, the process of evolution constructs and reconstructs them from elementary actions. Two new strategies of cooperative attack and defence emerge in simulations, as well as the well-known dove, hawk and bourgeois strategies. Our results indicate that cooperative strategies can evolve even under such minimalist assumptions, provided that agents are capable of perceiving heritable external markers of other agents.
Fostering Cooperative Learning in Middle and Secondary Level Classrooms.
ERIC Educational Resources Information Center
Wood, Karen D.
1987-01-01
Provides a brief overview of the research on cooperative learning, and describes several classroom grouping techniques useful for all grade levels and subject areas. Discusses group retellings, associational dialogue, dyadic learning, needs grouping, the buddy system, cybernetic sessions, and research, interest, ability, tutorial, random social,…
Toward a Science of Cooperation.
ERIC Educational Resources Information Center
Newbern, Dianna; And Others
Scripted cooperative learning and individual learning of descriptive information were compared in a 2-x-2 factorial design with 104 undergraduates. Influenced by models of individual learning and cognition, differences were assessed in (1) information acquisition and retrieval, (2) the quality and quantity of recalled information, and (3) the…
Referring to the social performance promotes cooperation in spatial prisoner's dilemma games
NASA Astrophysics Data System (ADS)
Shigaki, Keizo; Tanimoto, Jun; Wang, Zhen; Kokubo, Satoshi; Hagishima, Aya; Ikegaya, Naoki
2012-09-01
We propose a new pairwise Fermi updating rule by considering a social average payoff when an agent copies a neighbor's strategy. In the update rule, a focal agent compares her payoff with the social average payoff of the same strategy that her pairwise opponent has. This concept might be justified by the fact that people reference global and, somehow, statistical information, not local information when imitating social behaviors. We presume several possible ways for the social average. Simulation results prove that the social average of some limited agents realizes more significant cooperation than that of the entire population.
Self-organized cooperative behavior and critical penalty in an evolving population
NASA Astrophysics Data System (ADS)
Xu, Chen; Hui, P. M.; Yu, You-Yang; Gu, Guo-Qing
2009-10-01
The emergence of cooperation and the effectiveness of penalties among competing agents are studied via a model of evolutionary game incorporating adaptive behavior and penalties for illegal acts. For initially identical agents, a phase diagram is obtained via an analytic approach, with results in good agreement with numerical simulations. The results show that there exists a critical penalty for achieving a completely honest population and a sufficiently well-behaved initial population requires no penalty. Self-organized segregation to extreme actions emerges in the dynamics for a system with uniformly distributed initial tendencies for cooperation. After training, the penalty can be relaxed without ruining the adapted cooperative behavior. Results of our model in a population taking on the form of a 2D square lattice are also reported.
Vorhees, Charles V
2017-05-01
This commentary is in response to the remarks of Drs. Christina Sobin, Mari Golub, and David Herr on the Special Issue of this Journal entitled "Assessment of Learning, Memory, and Attention in Developmental Neurotoxicology Regulatory Testing." I endorse the views expressed by Drs. Sobin, Golub, and Herr and add some discussion on a recent Organization for Economic Cooperation and Development (OECD) guideline, the Extended One Generation Reproductive Toxicology Guideline (OECD 446), in which testing for higher cognitive function (learning and memory) has been eliminated. The case against this decision is offered. It is noted that deficits in higher cognitive function are one of the hallmarks of human studies that find neurobehavioral toxicity in children after exposure to environmental agents such as lead, methylmercury, PCB, pesticides, and other environmental agents. It is noted that the OECD decision is at variance with the views of the scientific community in this field, including those of Drs. Sobin, Golub, and Herr. Why OECD took such action without the advice and consent of the field of developmental neurotoxicology is deeply concerning and potentially hazardous to children. I also endorse Dr. Herr's recommendation that in the future the Environmental Protection Agency negotiate study designs in advance with submitters as the Food and Drug Administration does to improve data quality for all neurobehavioral methods, and especially for tests of learning and memory that have not been adequately conducted in many past studies. Copyright © 2017 Elsevier Inc. All rights reserved.
Informal Learning Processes in a Worker Co-Operative. NALL Working Paper.
ERIC Educational Resources Information Center
Quarter, Jack; Midha, Harish
A study was conducted to understand the informal learning processes of the members of a worker natural foods store cooperative, The Big Carrot, in Toronto. Eight members with central roles in the natural foods retailer were interviewed. In addition, key documents and other writings on the cooperative were examined. The data indicate that members…
Bridging the Gap: Teachers Cooperating Together to Implement Cooperative Learning
ERIC Educational Resources Information Center
Jolliffe, Wendy
2015-01-01
Cooperative learning (CL), in spite of extensive research and documented benefits, is not widely used in England. A review of the literature shows that it requires a staged and sustained approach to implementation, which has led to a gap between its potential and actual use. The case study cited here provides one example of bridging that gap…
ERIC Educational Resources Information Center
Swift, Elijah Raford, Jr.
2012-01-01
The purpose of this study was to address the gap in research regarding the use of cooperative learning instructional methods in college mathematics courses to prepare future teachers. Bruner's constructivist theory and social interdependence theory guided this study. The research questions focused on the effects of the use of cooperative learning…
ERIC Educational Resources Information Center
Martínez Lirola, María
2016-01-01
Cooperative learning allows students acquisition of competences that are essential for the labour market such as leadership, critical thinking, communication, and so on. For this reason, different cooperative activities were designed in a language subject in English Studies so that students could work in groups and acquire those competences. This…
ERIC Educational Resources Information Center
Swab, A. Geoffrey
2012-01-01
This study of cooperative learning in post-secondary engineering education investigated achievement of engineering students enrolled in two intact sections of a computer-aided drafting (CAD) course. Quasi-experimental and qualitative methods were employed in comparing student achievement resulting from out-of-class cooperative and individualistic…
Research on mixed network architecture collaborative application model
NASA Astrophysics Data System (ADS)
Jing, Changfeng; Zhao, Xi'an; Liang, Song
2009-10-01
When facing complex requirements of city development, ever-growing spatial data, rapid development of geographical business and increasing business complexity, collaboration between multiple users and departments is needed urgently, however conventional GIS software (such as Client/Server model or Browser/Server model) are not support this well. Collaborative application is one of the good resolutions. Collaborative application has four main problems to resolve: consistency and co-edit conflict, real-time responsiveness, unconstrained operation, spatial data recoverability. In paper, application model called AMCM is put forward based on agent and multi-level cache. AMCM can be used in mixed network structure and supports distributed collaborative. Agent is an autonomous, interactive, initiative and reactive computing entity in a distributed environment. Agent has been used in many fields such as compute science and automation. Agent brings new methods for cooperation and the access for spatial data. Multi-level cache is a part of full data. It reduces the network load and improves the access and handle of spatial data, especially, in editing the spatial data. With agent technology, we make full use of its characteristics of intelligent for managing the cache and cooperative editing that brings a new method for distributed cooperation and improves the efficiency.
ERIC Educational Resources Information Center
Mohammadjani, Farzad; Tonkaboni, Forouzan
2015-01-01
The aim of the present research is to investigate a comparison between the effect of cooperative learning teaching method and lecture teaching method on students' learning and satisfaction level. The research population consisted of all the fourth grade elementary school students of educational district 4 in Shiraz. The statistical population…
ERIC Educational Resources Information Center
Chen, Hsuan-Yu
2009-01-01
Oral proficiency is an important goal in second language learning not only for communication, but also for developing reading and writing skills. Use of cooperative learning (CL) strategies has been shown to successfully improve second language learning in many cases for its focus on individual accountability and positive interdependence (Kagan &…
ERIC Educational Resources Information Center
Rianawati
2017-01-01
Background doing the research is Social skills is an individual's ability to communicate effectively with others, both verbally and nonverbally. Facts social attitudes such selfishness, individualism, indifferent, no responsible attitude, miss communication and interaction with others. One Cooperative-learning strategy to develop cooperation…
Creativity and Collaborative Learning: A Practical Guide to Empowering Students and Teachers.
ERIC Educational Resources Information Center
Thousand, Jacqueline S., Ed.; And Others
This book offers practical guidelines for implementing cooperative-collaborative learning in the classroom. Included are research reviews, sample lesson plan formats, suggestions for peer coaching, and forms and materials that teachers may duplicate. The book's 17 chapters are divided into three sections on cooperative group learning; partner…
A Cooperative Approach To Teaching Mineral Identification.
ERIC Educational Resources Information Center
Constantopoulos, Terri Lynn
1994-01-01
Describes Jigsaw Teaching, a cooperative learning approach, in relation to mineral identification. This technique may also be applied to rock identification. Students work in groups of four and learn to identify 20 minerals, becoming an "expert" on five of them. Helping to teach other students reinforces what each student has learned.…
ERIC Educational Resources Information Center
Lindquist, Tim M.
1995-01-01
In groups, 49 accounting students completed a 5-week analysis of audit reporting issues using cooperative learning. Positive student reactions and achievement suggested that contemporary active learning approaches are compatible with the traditional accounting goal of preparing for the Certified Public Accountants examination. (SK)
Student Satisfaction with Cooperative Learning in an Accounting Curriculum
ERIC Educational Resources Information Center
Farrell, Brian J.; Farrell, Helen M.
2008-01-01
Cooperative learning has been introduced into International Accounting, a second year subject at a major Australian university. The purpose was to provide students with a satisfying experience of learning within a social context and to develop their interpersonal, professional and written communication skills. The main data were collected during…
Foundations of Cooperative Learning.
ERIC Educational Resources Information Center
Jacobs, George M.
Five cooperative learning methods are described with the theories that support them. The five methods are: (1) Group Investigation (GI), developed by S. Sharan and others; (2) Jigsaw, developed by E. Aronson and others; (3) Student Teams Achievement Divisions (STAD), developed by R. E. Slavin and others; (4) Learning Together, developed by D. W.…
Balancing Student Learning and Commercial Outcomes in the Workplace
ERIC Educational Resources Information Center
Lee, Geoffrey; McGuiggan, Robyn; Holland, Barbara
2010-01-01
Community engagement is growing across higher education. Cooperative education and other internships are well established in the literature as pedagogies with links to experiential and connected learning. Cooperative programs combine business, industry, educational providers and students paid on-the-job. Most studies of work-based learning focus…
Using SimCPU in Cooperative Learning Laboratories.
ERIC Educational Resources Information Center
Lin, Janet Mei-Chuen; Wu, Cheng-Chih; Liu, Hsi-Jen
1999-01-01
Reports research findings of an experimental design in which cooperative-learning strategies were applied to closed-lab instruction of computing concepts. SimCPU, a software package specially designed for closed-lab usage was used by 171 high school students of four classes. Results showed that collaboration enhanced learning and that blending…
Cooperative Learning: Review of Research and Practice
ERIC Educational Resources Information Center
Gillies, Robyn M.
2016-01-01
Cooperative learning is widely recognized as a pedagogical practice that promotes socialization and learning among students from pre-school through to tertiary level and across different subject domains. It involves students working together to achieve common goals or complete group tasks--goals and tasks that they would be unable to complete by…
Challenges for Cooperative Learning Implementation: Reports from Elementary School Teachers
ERIC Educational Resources Information Center
Buchs, Céline; Filippou, Dimitra; Pulfrey, Caroline; Volpé, Yann
2017-01-01
Despite the well-established benefits of cooperative learning, implementation remains a challenge. This research aims to document these challenges at the elementary school level, drawing on teachers' beliefs regarding learning as well as the difficulties teachers report. Results indicate that the most frequent instructional strategies reported are…
Permanent Base Groups in Broadcast Journalism Instruction.
ERIC Educational Resources Information Center
Boldoc, William J.
An instructor increases student performance, participation, and motivation in broadcast journalism and other media courses through the base group cooperative learning model. Base groups are a specific form of cooperative learning which enables students to become actively involved in small-group discussions and learning with a permanent group of…
Juang, Chia-Feng; Lai, Min-Ge; Zeng, Wan-Ting
2015-09-01
This paper presents a method that allows two wheeled, mobile robots to navigate unknown environments while cooperatively carrying an object. In the navigation method, a leader robot and a follower robot cooperatively perform either obstacle boundary following (OBF) or target seeking (TS) to reach a destination. The two robots are controlled by fuzzy controllers (FC) whose rules are learned through an adaptive fusion of continuous ant colony optimization and particle swarm optimization (AF-CACPSO), which avoids the time-consuming task of manually designing the controllers. The AF-CACPSO-based evolutionary fuzzy control approach is first applied to the control of a single robot to perform OBF. The learning approach is then applied to achieve cooperative OBF with two robots, where an auxiliary FC designed with the AF-CACPSO is used to control the follower robot. For cooperative TS, a rule for coordination of the two robots is developed. To navigate cooperatively, a cooperative behavior supervisor is introduced to select between cooperative OBF and cooperative TS. The performance of the AF-CACPSO is verified through comparisons with various population-based optimization algorithms for the OBF learning problem. Simulations and experiments verify the effectiveness of the approach for cooperative navigation of two robots.
Methods of learning in statistical education: Design and analysis of a randomized trial
NASA Astrophysics Data System (ADS)
Boyd, Felicity Turner
Background. Recent psychological and technological advances suggest that active learning may enhance understanding and retention of statistical principles. A randomized trial was designed to evaluate the addition of innovative instructional methods within didactic biostatistics courses for public health professionals. Aims. The primary objectives were to evaluate and compare the addition of two active learning methods (cooperative and internet) on students' performance; assess their impact on performance after adjusting for differences in students' learning style; and examine the influence of learning style on trial participation. Methods. Consenting students enrolled in a graduate introductory biostatistics course were randomized to cooperative learning, internet learning, or control after completing a pretest survey. The cooperative learning group participated in eight small group active learning sessions on key statistical concepts, while the internet learning group accessed interactive mini-applications on the same concepts. Controls received no intervention. Students completed evaluations after each session and a post-test survey. Study outcome was performance quantified by examination scores. Intervention effects were analyzed by generalized linear models using intent-to-treat analysis and marginal structural models accounting for reported participation. Results. Of 376 enrolled students, 265 (70%) consented to randomization; 69, 100, and 96 students were randomized to the cooperative, internet, and control groups, respectively. Intent-to-treat analysis showed no differences between study groups; however, 51% of students in the intervention groups had dropped out after the second session. After accounting for reported participation, expected examination scores were 2.6 points higher (of 100 points) after completing one cooperative learning session (95% CI: 0.3, 4.9) and 2.4 points higher after one internet learning session (95% CI: 0.0, 4.7), versus nonparticipants or controls, adjusting for other performance predictors. Students who preferred learning by reflective observation and active experimentation experienced improved performance through internet learning (5.9 points, 95% CI: 1.2, 10.6) and cooperative learning (2.9 points, 95% CI: 0.6, 5.2), respectively. Learning style did not influence study participation. Conclusions. No performance differences by group were observed by intent-to-treat analysis. Participation in active learning appears to improve student performance in an introductory biostatistics course and provides opportunities for enhancing understanding beyond that attained in traditional didactic classrooms.
Promotion of cooperation induced by appropriate payoff aspirations in a small-world networked game
NASA Astrophysics Data System (ADS)
Chen, Xiaojie; Wang, Long
2008-01-01
Based on learning theory, we adopt a stochastic learning updating rule to investigate the evolution of cooperation in the Prisoner’s Dilemma game on Newman-Watts small-world networks with different payoff aspiration levels. Interestingly, simulation results show that the mechanism of intermediate aspiration promoting cooperation resembles a resonancelike behavior, and there exists a ping-pong vibration of cooperation for large payoff aspiration. To explain the nontrivial dependence of the cooperation level on the aspiration level, we investigate the fractions of links, provide analytical results of the cooperation level, and find that the simulation results are in close agreement with analytical ones. Our work may be helpful in understanding the cooperative behavior induced by the aspiration level in society.
PAIR: A Cooperative Effort to Meet Informational Needs
Closurdo, Janette S.; Pehkonen, Charles A.
1973-01-01
St. Joseph Mercy Hospital organized a cooperative association of area institutions (the Pontiac Area Instructional Resources group: PAIR) in order to (1) promote a forum in which to exchange ideas and information on software used for learning materials and hardware for using such materials, (2) provide a resource library system to lend such learning materials, and (3) cooperatively produce such learning materials for use in member institutions. In less than one year of cooperation, a union list of serials and a union list of software for the area have been produced. A forum has been created in which ideas and information can be shared, and a sound/slide program has been produced. PMID:4122093
Agent-Based Learning Environments as a Research Tool for Investigating Teaching and Learning.
ERIC Educational Resources Information Center
Baylor, Amy L.
2002-01-01
Discusses intelligent learning environments for computer-based learning, such as agent-based learning environments, and their advantages over human-based instruction. Considers the effects of multiple agents; agents and research design; the use of Multiple Intelligent Mentors Instructing Collaboratively (MIMIC) for instructional design for…
Conversational Agents in E-Learning
NASA Astrophysics Data System (ADS)
Kerry, Alice; Ellis, Richard; Bull, Susan
This paper discusses the use of natural language or 'conversational' agents in e-learning environments. We describe and contrast the various applications of conversational agent technology represented in the e-learning literature, including tutors, learning companions, language practice and systems to encourage reflection. We offer two more detailed examples of conversational agents, one which provides learning support, and the other support for self-assessment. Issues and challenges for developers of conversational agent systems for e-learning are identified and discussed.
Evolving learning rules and emergence of cooperation in spatial prisoner's dilemma.
Moyano, Luis G; Sánchez, Angel
2009-07-07
In the evolutionary Prisoner's dilemma (PD) game, agents play with each other and update their strategies in every generation according to some microscopic dynamical rule. In its spatial version, agents do not play with every other but, instead, interact only with their neighbours, thus mimicking the existing of a social or contact network that defines who interacts with whom. In this work, we explore evolutionary, spatial PD systems consisting of two types of agents, each with a certain update (reproduction, learning) rule. We investigate two different scenarios: in the first case, update rules remain fixed for the entire evolution of the system; in the second case, agents update both strategy and update rule in every generation. We show that in a well-mixed population the evolutionary outcome is always full defection. We subsequently focus on two-strategy competition with nearest-neighbour interactions on the contact network and synchronised update of strategies. Our results show that, for an important range of the parameters of the game, the final state of the system is largely different from that arising from the usual setup of a single, fixed dynamical rule. Furthermore, the results are also very different if update rules are fixed or evolve with the strategies. In these respect, we have studied representative update rules, finding that some of them may become extinct while others prevail. We describe the new and rich variety of final outcomes that arise from this co-evolutionary dynamics. We include examples of other neighbourhoods and asynchronous updating that confirm the robustness of our conclusions. Our results pave the way to an evolutionary rationale for modelling social interactions through game theory with a preferred set of update rules.
Cooperative Learning about Nature of Science with a Case from the History of Science
ERIC Educational Resources Information Center
Wolfensberger, Balz; Canella, Claudia
2015-01-01
This paper reports a predominantly qualitative classroom study on cooperative learning about nature of science (NOS) using a case from the history of science. The purpose of the research was to gain insight into how students worked with the historical case study during cooperative group work, how students and teachers assessed the teaching unit,…
ERIC Educational Resources Information Center
Parr, Dorothy T.
A practicum was designed to interest and motivate students to participate in social studies, an area in which lack of motivation has caused many elementary students to do poorly. An active learning, cooperative, and collaborative approach to social studies was taken with a class of 30 fourth graders. Through cooperative learning, simulated…
Pimmer, Christoph; Pachler, Norbert; Nierle, Julia; Genewein, Urs
2012-12-01
Today's healthcare can be characterised by the increasing importance of specialisation that requires cooperation across disciplines and specialities. In view of the number of educational programmes for interdisciplinary cooperation, surprisingly little is known on how learning arises from interdisciplinary work. In order to analyse the learning and teaching practices of interdisciplinary cooperation, a multiple case study research focused on how consults, i.e., doctor-to-doctor consultations between medical doctors from different disciplines were carried out: semi-structured interviews with doctors of all levels of seniority from two hospital sites in Switzerland were conducted. Starting with a priori constructs based on the 'methods' underpinning cognitive apprenticeship (CA), the transcribed interviews were analysed according to the principles of qualitative content analysis. The research contributes to three debates: (1) socio-cognitive and situated learning, (2) intra- and interdisciplinary learning in clinical settings, and (3), more generally, to cooperation and problem solving. Patient cases, which necessitate the cooperation of doctors in consults across boundaries of clinical specialisms, trigger intra- as well as interdisciplinary learning and offer numerous and varied opportunities for learning by requesting doctors as well as for on-call doctors, in particular those in residence. The relevance of consults for learning can also be verified from the perspective of CA which is commonly used by experts, albeit in varying forms, degrees of frequency and quality, and valued by learners. Through data analysis a model for collaborative problem-solving and help-seeking was developed which shows the interplay of pedagogical 'methods' of CA in informal clinical learning contexts.
ERIC Educational Resources Information Center
Eissa, Mourad Ali; Mostafa, Amaal Ahmed
2013-01-01
This study investigated the effect of using differentiated instruction by integrating multiple intelligences and learning styles on solving problems, achievement in, and attitudes towards math in six graders with learning disabilities in cooperative groups. A total of 60 students identified with LD were invited to participate. The sample was…
ERIC Educational Resources Information Center
Basak, Tulay; Yildiz, Dilek
2014-01-01
Objective: The aim of this study was to compare the effectiveness of cooperative learning and traditional learning methods on the development of drug-calculation skills. Design: Final-year nursing students ("n" = 85) undergoing internships during the 2010-2011 academic year at a nursing school constituted the study group of this…
Use of AECC Directives and Cooperative Learning Theory in Introductory Accounting Classes.
ERIC Educational Resources Information Center
Holt, Doris L.; Swanson, Janice Goodnow
1995-01-01
Explores how colleges and universities are responding to the directives of the Accounting Education Change Commission for introductory accounting classes and whether these classrooms use cooperative learning techniques. (Author/JOW)
Developing an Inclusive Democratic Classroom "in Action" through Cooperative Learning
ERIC Educational Resources Information Center
Ferguson-Patrick, Kate
2012-01-01
This paper examines how Cooperative learning (CL) and democracy can be examined in relation to one another. CL supports a social constructivist view of students learning together to form knowledge through direct interaction. The overriding benefits of CL are that that it is an effective strategy for maximising both social and academic learning…
Cooperative Learning in Virtual Environments: The Jigsaw Method in Statistical Courses
ERIC Educational Resources Information Center
Vargas-Vargas, Manuel; Mondejar-Jimenez, Jose; Santamaria, Maria-Letica Meseguer; Alfaro-Navarro, Jose-Luis; Fernandez-Aviles, Gema
2011-01-01
This document sets out a novel teaching methodology as used in subjects with statistical content, traditionally regarded by students as "difficult". In a virtual learning environment, instructional techniques little used in mathematical courses were employed, such as the Jigsaw cooperative learning method, which had to be adapted to the…
Group Investigation as a Cooperative Learning Strategy: An Integrated Analysis of the Literature
ERIC Educational Resources Information Center
Mitchell, Mitzi G.; Montgomery, Hilary; Holder, Michelle; Stuart, Dan
2008-01-01
The cooperative learning strategy of group investigation has been used extensively in elementary and high school classrooms. Whereas this learning strategy seems to benefit low- and middle-achieving students, the performance of high-achieving students seems to change little. This article examines the literature on group investigation as a…
Individual Differences in Dyadic Cooperative Learning.
ERIC Educational Resources Information Center
Horn, Elizabeth M.; Collier, William G.; Oxford, Julie A.; Bond, Charles F., Jr.; Dansereau, Donald F.
1998-01-01
The impact of individual differences on the performance of roles of learner and learning facilitator was studied during dyadic cooperative learning with 80 college students in same-sex groups of 4. The learner role accounted for more than 70% of the variance in total recall. The influence of cognitive and rapport factors is discussed. (SLD)
ERIC Educational Resources Information Center
Demitra; Sarjoko
2018-01-01
Indigenous people of Dayak tribe in Kalimantan, Indonesia have traditionally relied on a system of mutual cooperation called "handep." The cultural context has an influence on students mathematics learning. The "handep" system might be suitable for modern learning situations to develop mathematical problem-solving skill. The…
Cooperative Learning for Fostering Knowledge Construction in Japanese High School
ERIC Educational Resources Information Center
Mizuno, Masao
2011-01-01
The purpose of this study is to investigate how cooperative learning approach supports teachers to design an effective teaching for promoting the students learning to construct knowledge in practice. Quantitative and qualitative research methods such as surveys and case studies were employed for data collection. A High School which challenges face…
Theoretical Perspectives on Assessment in Cooperative Education Placements
ERIC Educational Resources Information Center
Hodges, David; Eames, Chris; Coll, Richard K.
2014-01-01
In this paper we examine theoretical perspectives on assessment in cooperative education placements. As assessment is linked to student learning, we focus briefly on the purposes of assessment. We then consider a range of learning theories that have been, and are more recently, explored as ways to explain the process of learning on cooperative…
ERIC Educational Resources Information Center
Cooper, James L.; And Others
1991-01-01
Cooperative learning may be defined as a structured, systematic instructional strategy in which small groups work together toward a common goal. It differs from collaborative learning in its emphasis on highly structured techniques for ensuring positive interdependence within groups and its insistence on individual accountability rather than…
ERIC Educational Resources Information Center
Lynch, Douglas J.
2010-01-01
Effective online instructional practices may be applied to online and blended college courses. Carefully orchestrated online discussions support learning well beyond the limited face-to-face course time. Students gain greater depth of academic understanding and leadership skills if cooperative learning groups use research-based process and…
The Effects of Collectivism-Individualism on the Cooperative Learning of Motor Skill
ERIC Educational Resources Information Center
Luo, Yi; Sun, Yan; Strobel, Johannes
2013-01-01
This study examined how cultural background (collectivism vs. individualism) affects motor skill learning in a dyadic cooperative learning environment. The research context of this study was Nintendo™ Wii Tennis. Twenty college students from a Midwestern university participated in the study, among whom half were from an individualistic culture…
"ELIP-MARC" Activities via TPS of Cooperative Learning to Improve Student's Mathematical Reasoning
ERIC Educational Resources Information Center
Ulya, Wisulah Titah; Purwanto; Parta, I. Nengah; Mulyati, Sri
2017-01-01
The purpose of this study is to describe and generate interaction model of learning through "Elip-Marc" activity via "TPS" cooperative learning in order to improve student's mathematical reasoning who have valid, practical and effective criteria. "Elip-Marc" is an acronym of eliciting, inserting, pressing,…
Cooperative Learning: Exploring Its Effectiveness in the Physics Classroom
ERIC Educational Resources Information Center
Ho, Fui Fong; Boo, Hong Kwen
2007-01-01
This paper reports on the results of an action research to explore the effectiveness of using cooperative learning strategies on students' academic achievement, their understanding of physics concepts and their motivation to learn in the physics classroom. The study involved a secondary four express physics class of 41 students in a neighbourhood…
Cooperating in Constructing Knowledge: Case Studies from Chemistry and Citizenship
ERIC Educational Resources Information Center
Barbosa, Rejane; Jofili, Zelia; Watts, Mike
2004-01-01
This paper looks at three case studies within the teaching and learning of chemistry. Each case considers the effectiveness of group learning activities in terms of the ways in which they enhance cooperative learning. Group tasks are generally undertaken in order to encourage learners to develop their understanding of particular issues, lthough…
ERIC Educational Resources Information Center
Johnson, Robin R.; And Others
1995-01-01
Supportive learning activities were implemented in a multiple-baseline time series design across four fifth-grade classrooms to evaluate the effects of a cooperative teaching alternative (supportive learning) on teaching behavior, the behavior and grades of general and special education students, and the opinions of general education teachers.…
Cooperative Learning in a Soil Mechanics Course at Undergraduate Level
ERIC Educational Resources Information Center
Pinho-Lopes, M.; Macedo, J.; Bonito, F.
2011-01-01
The implementation of the Bologna Process enforced a significant change on traditional learning models, which were focused mainly on the transmission of knowledge. The results obtained in a first attempt at implementation of a cooperative learning model in the Soil Mechanics I course of the Department of Civil Engineering of the University of…
The Role of Legitimacy in Student Teaching: Learning to "Feel" Like a Teacher
ERIC Educational Resources Information Center
Cuenca, Alexander
2011-01-01
A key factor in learning to teach during student teaching is the cooperating teacher, who supports and mentors prospective teachers. In the apprenticeship that is student teaching, the cooperating teacher serves as a gatekeeper to the experiential learning of pre-service teachers. Although several studies indicate the significant influence…
Impact of a Sustained Cooperative Learning Intervention on Student Motivation
ERIC Educational Resources Information Center
Fernandez-Rio, Javier; Sanz, Naira; Fernandez-Cando, Judith; Santos, Luis
2017-01-01
Background: Cooperative Learning has been recently defined as a true pedagogical model. Moreover, in a recent review Casey and Goodyear reported that it can help physical education promote the four basic learning outcomes: physical, cognitive, social and affective. Purpose: The main goal was to investigate the impact of a sustained Cooperative…
Integrating Dynamic Mathematics Software into Cooperative Learning Environments in Mathematics
ERIC Educational Resources Information Center
Zengin, Yilmaz; Tatar, Enver
2017-01-01
The aim of this study was to evaluate the implementation of the cooperative learning model supported with dynamic mathematics software (DMS), that is a reflection of constructivist learning theory in the classroom environment, in the teaching of mathematics. For this purpose, a workshop was conducted with the volunteer teachers on the…
The Effect of Cooperative Learning: University Example
ERIC Educational Resources Information Center
Tombak, Busra; Altun, Sertel
2016-01-01
Problem Statement: Motivation is a significant component of success in education, and it is best achieved by constructivist learning methods, especially cooperative Learning (CL). CL is a popular method among primary and secondary schools, but it is rarely used in higher education due to the large numbers of students and time restrictions. The…
ERIC Educational Resources Information Center
Stevahn, Laurie; McGuire, Margit E.
2017-01-01
Pre-service teachers typically find it challenging to implement cooperative learning authentically in schools given the complexities of classroom environments. Curriculum integration also is demanding because it requires combining research-informed pedagogies and best practices to promote academic and social learning. This article describes how…
Who Benefits from Cooperative Learning with Movement Activity?
ERIC Educational Resources Information Center
Shoval, Ella; Shulruf, Boaz
2011-01-01
The goal of this study is to identify learners who are most likely to benefit from a small group cooperative learning strategy, which includes tasks involving movement activities. The study comprised 158 learners from five second and third grade classes learning about angles. The research tools included structured observation of each learner and…
NASA Astrophysics Data System (ADS)
Wang, Xian-Jia; Quan, Ji; Liu, Wei-Bing
2012-05-01
This paper studies the continuous prisoner's dilemma games (CPDG) on Barabasi—Albert (BA) networks. In the model, each agent on a vertex of the networks makes an investment and interacts with all of his neighboring agents. Making an investment is costly, but which benefits its neighboring agents, where benefit and cost depend on the level of investment made. The payoff of each agent is given by the sum of payoffs it receives in its interactions with all its neighbors. Not only payoff, individual's guilty emotion in the games has also been considered. The negative guilty emotion produced in comparing with its neighbors can reduce the utility of individuals directly. We assume that the reduction amount depends on the individual's degree and a baseline level parameter. The group's cooperative level is characterized by the average investment of the population. Each player makes his investment in the next step based on a convex combination of the investment of his best neighbors in the last step, his best history strategies in the latest steps which number is controlled by a memory length parameter, and a uniformly distributed random number. Simulation results show that this degree-dependent guilt mechanism can promote the evolution of cooperation dramatically comparing with degree-independent guilt or no guilt cases. Imitation, memory, uncertainty coefficients and network structure also play determinant roles in the cooperation level of the population. All our results may shed some new light on studying the evolution of cooperation based on network reciprocity mechanisms.
NASA Astrophysics Data System (ADS)
Kriswintari, D.; Yuanita, L.; Widodo, W.
2018-04-01
The aim of this study was to develop chemistry learning package using Student Teams Achievement Division (STAD) cooperative learning technique to foster students’ thinking skills and social attitudes. The chemistry learning package consisting of lesson plan, handout, students’ worksheet, thinking skill test, and observation sheet of social attitude was developed using the Dick and Carey model. Research subject of this study was chemistry learning package using STAD which was tried out on tenth grade students of SMA Trimurti Surabaya. The tryout was conducted using the one-group pre-test post-test design. Data was collected through observation, test, and questionnaire. The obtained data were analyzed using descriptive qualitative analysis. The findings of this study revealed that the developed chemistry learning package using STAD cooperative learning technique was categorized valid, practice and effective to be implemented in the classroom to foster students’ thinking skill and social attitude.
Coevolving agent strategies and network topology for the public goods games
NASA Astrophysics Data System (ADS)
Zhang, C. Y.; Zhang, J. L.; Xie, G. M.; Wang, L.
2011-03-01
Much of human cooperation remains an evolutionary riddle. Coevolutionary public goods games in structured populations are studied where players can change from an unproductive public goods game to a productive one, by evaluating the productivity of the public goods games. In our model, each individual participates in games organized by its neighborhood plus by itself. Coevolution here refers to an evolutionary process entailing both deletion of existing links and addition of new links between agents that accompanies the evolution of their strategies. Furthermore, we investigate the effects of time scale separation of strategy and structure on cooperation level. This study presents the following: Foremost, we observe that high cooperation levels in public goods interactions are attained by the entangled coevolution of strategy and structure. Presented results also confirm that the resulting networks show many features of real systems, such as cooperative behavior and hierarchical clustering. The heterogeneity of the interaction network is held responsible for the observed promotion of cooperation. We hope our work may offer an explanation for the origin of large-scale cooperative behavior among unrelated individuals.
Value homophily benefits cooperation but motivates employing incorrect social information.
Rauwolf, Paul; Mitchell, Dominic; Bryson, Joanna J
2015-02-21
Individuals often judge others based on third-party gossip, rather than their own experience, despite the fact that gossip is error-prone. Rather than judging others on their merits, even when such knowledge is free, we judge based on the opinions of third parties. Here we seek to understand this observation in the context of the evolution of cooperation. If individuals are being judged on noisy social reputations rather than on merit, then agents might exploit this, eroding the sustainability of cooperation. We employ a version of the Prisoner׳s Dilemma, the Donation game, which has been used to simulate the evolution of cooperation through indirect reciprocity. First, we validate the proposition that adding homophily (the propensity to interact with others of similar beliefs) into a society increases the sustainability of cooperation. However, this creates an evolutionary conflict between the accurate signalling of ingroup status versus the veridical report of the behaviour of other agents. We find that conditions exist where signalling ingroup status outweighs honesty as the best method to ultimately spread cooperation. Copyright © 2014 Elsevier Ltd. All rights reserved.
Emergence of competition and cooperation in an evolutionary resource war model
NASA Astrophysics Data System (ADS)
Lamantia, Fabio
2018-05-01
In this paper we introduce a simple punishment scheme in the 'great fish war' model with many players. An imitative process regulates how a coalition of cooperators is dynamically updated over time. An intuitive effect of adding sanctions is that they could enlarge the possible sustainable coalitions. However, the evolution toward full cooperation can be sustained by a punishment scheme provided that a critical mass of agents enforces cooperation at the beginning of the game. Moreover, we show the presence of thresholds in sanctions or in the cost for punishing such that if these thresholds are trespassed then dramatic reductions in the resource level and in the agents' welfare may occur as a consequence of free riding effects. We show by some examples that these phenomena are due to the presence of tipping points in the model.
Learning science in a cooperative setting: Academic achievement and affective outcomes
NASA Astrophysics Data System (ADS)
Lazarowitz, Reuven; Hertz-Lazarowitz, Rachel; Baird, J. Hugh
A learning unit in earth science was taught to high school students, using a jigsaw-group mastery learning approach. The sample consisted of 73 students in the experimental group and 47 students who learned the topic in an individualized mastery learning approach. The study lasted 5 weeks. Pretests and posttests on academic achievement and affective outcomes were administered. Data were treated with an analysis of covariance. The results show that students of the experimental group achieved significantly higher on academic outcomes, both normative and objective scores. On the creative essay test, the differences in number of ideas and total essay score were not significant between the groups, although the mean scores for number of words were higher for the individualized mastery learning group. On the affective domain, jigsaw-group mastery learning students scored significantly higher on self-esteem, number of friends, and involvement in the classroom. No differences were found in cohesiveness, cooperation, competition, and attitudes toward the subject learned. The results are discussed through the evaluation and comparison of the two methods of instruction used in this study.The cooperative learning movement began in junior high schools as part of the desegregation process, aiming at facilitating positive ethnic relations and increasing academic achievement and social skills among diverse students (Aronson, Stephan, Sikes, Blaney, & Snapp, 1978; Sharan & Hertz-Lazarowitz, 1980; Slavin, 1980). However, elementary teachers quickly recognized the potential of cooperative methods, and such methods were adopted freely in elementary schools before becoming widespread on the junior and senior high level. It has only been during the past few years that application of cooperative learning has been studied extensively with these older students.Cooperative learning methods generally involve heterogeneous groups working together on tasks that are deliberately structured to provide specific assignments and individual contributions from each group member. Cognitive as well as social benefits are expected, as students clarify their own understanding and share their insights and ideas with each other as they interact within the group (Deutsch, 1949).Experiments in the science laboratory have always required students to work in groups of two to four, due to the constraints of experimental processes and limited equipment and sup- plies. Thus, science courses are a natural curriculum area for examining cooperative learning practices. Now that cooperative methods are being refined to develop particular capabilities in the students, science teachers need to examine ways of structuring specific tasks to achieve the academic, affective, and socialization goals for their students. Although most of the studies of cooperative learning in the high school science classroom have centered around the cognitive outcomes of achievement testing and process skills, affective and social outcomes are also significant with students of this age. But few studies in science classes have attempted to assess such aspects of students' progress.As part of a previous revision, the science faculty at the high school where this study was conducted developed an exemplary individualized mastery learning (1ML) program for teaching science. This program seemed to alleviate the severe motivational problems and the extreme individual differences among the students in this rural/bhe-collar community. Students learned to work independently on their science studies. They had almost no lectures and few large group activities. As they worked through their assignments, however, they were free to interdct with other students. Looking in on a typical class, one would see several clusters of two or three students working together, sometimes tutoring each other, sometimes just talking through an assignment. Yet at least half of the class members would be working all alone. The importance of the overall social setting in the classroom as it relates to learning (Bruner, 1986, p. 86) and the central function of social interaction as learning occurs (Vygotsky, 1978, p. 106) seemed to have been ignored. Therefore, group mastery learning (GML), a cooperative learning tech- nique, was suggested as an antithesis to IML for teaching science over short periods. The cooperative mode of instruction considers learning as a cognitive as well as a social process, where students interact with each other as well as the teacher.To bring the social dimension back to science classrooms, the researchers chose to imple- ment GML in Grades 1 I and 12. The goal of the study was to investigate the GML's impact of the method on the individual student's academic achievement, creativity, self-esteem, and number of friends and on the overall learning environment of the classrooms. The researchers were also concerned with the students' attitudes toward earth science, the course being taught at the time of the experiment. Both cognitive and affective outcomes for students who participated in the cooperative GML approach were compared with outcomes for students who studied the same topic in an IML approach.The study addressed a number of questions related to academic and nonacademic outcomes of the two methods of study. First, it sought to determine whether academic achievement of the students taught in the cooperative GML mode would be different from the achievement of students who learned in an individualized method. Second, it sought to determine whether gains or losses would be seen in nonacademic outcomes, such as classroom learning environment, social relations, and students' self-esteem experienced by the students. The results of this study may support more use of cooperative learning in high school science.
Goodyear, Victoria A
2017-03-01
It has been argued, extensively and internationally, that sustained school-based continuous professional development (CPD) has the potential to overcome some of the shortcomings of traditional one-off CPD programs. Yet, the evidence base on more effective or less effective forms of CPD is contradictory. The mechanisms by which sustained support should be offered are unclear, and the impacts on teachers' and students' learning are complex and difficult to track. The purpose of this study was to examine the impact of a sustained school-based, tailored, and supported CPD program on teachers' practices and students' learning. Data are reported from 6 case studies of individual teachers engaged in a yearlong CPD program focused on cooperative learning. The CPD program involved participatory action research and frequent interaction/support from a boundary spanner (researcher/facilitator). Data were gathered from 29 video-recorded lessons, 108 interviews, and 35 field journal entries. (a) Individualized (external) support, (b) departmental (internal) support, and (c) sustained support impacted teachers' practices of cooperative learning. The teachers adapted their practices of cooperative learning in response to their students' learning needs. Teachers began to develop a level of pedagogical fluency, and in doing so, teachers advanced students' learning. Because this study demonstrates impact, it contributes to international literature on effective CPD. The key contribution is the detailed evidence about how and why CPD supported 6 individual teachers to learn-differently-and the complexity of the learning support required to engage in ongoing curriculum development to positively impact student learning.
NASA Astrophysics Data System (ADS)
Shu, Feng; Liu, Xingwen; Li, Min
2018-05-01
Memory is an important factor on the evolution of cooperation in spatial structure. For evolutionary biologists, the problem is often how cooperation acts can emerge in an evolving system. In the case of snowdrift game, it is found that memory can boost cooperation level for large cost-to-benefit ratio r, while inhibit cooperation for small r. Thus, how to enlarge the range of r for the purpose of enhancing cooperation becomes a hot issue recently. This paper addresses a new memory-based approach and its core lies in: Each agent applies the given rule to compare its own historical payoffs in a certain memory size, and take the obtained maximal one as virtual payoff. In order to get the optimal strategy, each agent randomly selects one of its neighbours to compare their virtual payoffs, which can lead to the optimal strategy. Both constant-size memory and size-varying memory are investigated by means of a scenario of asynchronous updating algorithm on regular lattices with different sizes. Simulation results show that this approach effectively enhances cooperation level in spatial structure and makes the high cooperation level simultaneously emerge for both small and large r. Moreover, it is discovered that population sizes have a significant influence on the effects of cooperation.
Social aggregation as a cooperative game
NASA Astrophysics Data System (ADS)
Vilone, Daniele; Guazzini, Andrea
2011-07-01
A new approach for the description of phenomena of social aggregation is suggested. On the basis of psychological concepts (as for instance social norms and cultural coordinates), we deduce a general mechanism for social aggregation in which different clusters of individuals can merge according to cooperation among the agents. In their turn, the agents can cooperate or defect according to the clusters' distribution inside the system. The fitness of an individual increases with the size of its cluster, but decreases with the work the individual had to do in order to join it. In order to test the reliability of such a new approach, we introduce a couple of simple toy models with the features illustrated above. We see, from this preliminary study, how cooperation is the most convenient strategy only in the presence of very large clusters, while on the other hand it is not necessary to have one hundred percent of cooperators for reaching a totally ordered configuration with only one megacluster filling the whole system.
NASA Astrophysics Data System (ADS)
Fort, H.; Viola, S.
2004-03-01
We analyze, both analytically and numerically, the self-organization of a system of “selfish” adaptive agents playing an arbitrary iterated pairwise game (defined by a 2×2 payoff matrix). Examples of possible games to play are the prisoner’s dilemma (PD) game, the chicken game, the hero game, etc. The agents have no memory, use strategies not based on direct reciprocity nor “tags” and are chosen at random, i.e., geographical vicinity is neglected. They can play two possible strategies: cooperate (C) or defect (D). The players measure their success by comparing their utilities with an estimate for the expected benefits and update their strategy following a simple rule. Two versions of the model are studied: (1) the deterministic version (the agents are either in definite states C or D) and (2) the stochastic version (the agents have a probability c of playing C). Using a general master equation we compute the equilibrium states into which the system self-organizes, characterized by their average probability of cooperation ceq. Depending on the payoff matrix, we show that ceq can take five different values. We also consider the mixing of agents using two different payoff matrices and show that any value of ceq can be reached by tuning the proportions of agents using each payoff matrix. In particular, this can be used as a way to simulate the effect of a fraction d of “antisocial” individuals—incapable of realizing any value to cooperation—on the cooperative regime hold by a population of neutral or “normal” agents.
ERIC Educational Resources Information Center
Traeger, James; Norgate, Carolyn
2015-01-01
This is an account of practice. It explores the meeting point between action learning and action research, as a way of doing capacity building in organisational development (OD) in the NHS in the UK. The authors were part of a short cooperative inquiry (Heron, J. 1996. "Co-operative Inquiry: Research into the Human Condition." London:…
ERIC Educational Resources Information Center
Schroth, Stephen T.; Helfer, Jason A.; Crawford, Mary A.; Dixon, Jessie D.; Hoyt, Helen M.
2015-01-01
Six classes at a selective liberal arts college in the Midwest, two each in chemistry, educational studies, and Spanish, used cooperative groups as part of the students' learning experiences. One class from each discipline used VIEW to formulate these cooperative groups, while those that constituted the control groups used more traditional ways of…
ERIC Educational Resources Information Center
Necessary, James R.; Wilhite, Stephen C.
This study was designed to assess the effects of a specific cooperative learning strategy in an introductory college business information systems course. The cooperative approach's impact on student achievement and on a number of personal and social attributes was examined. A total of 117 college sophomores and freshmen enrolled in 3 sections of…
Needs, Pains, and Motivations in Autonomous Agents.
Starzyk, Janusz A; Graham, James; Puzio, Leszek
This paper presents the development of a motivated learning (ML) agent with symbolic I/O. Our earlier work on the ML agent was enhanced, giving it autonomy for interaction with other agents. Specifically, we equipped the agent with drives and pains that establish its motivations to learn how to respond to desired and undesired events and create related abstract goals. The purpose of this paper is to explore the autonomous development of motivations and memory in agents within a simulated environment. The ML agent has been implemented in a virtual environment created within the NeoAxis game engine. Additionally, to illustrate the benefits of an ML-based agent, we compared the performance of our algorithm against various reinforcement learning (RL) algorithms in a dynamic test scenario, and demonstrated that our ML agent learns better than any of the tested RL agents.This paper presents the development of a motivated learning (ML) agent with symbolic I/O. Our earlier work on the ML agent was enhanced, giving it autonomy for interaction with other agents. Specifically, we equipped the agent with drives and pains that establish its motivations to learn how to respond to desired and undesired events and create related abstract goals. The purpose of this paper is to explore the autonomous development of motivations and memory in agents within a simulated environment. The ML agent has been implemented in a virtual environment created within the NeoAxis game engine. Additionally, to illustrate the benefits of an ML-based agent, we compared the performance of our algorithm against various reinforcement learning (RL) algorithms in a dynamic test scenario, and demonstrated that our ML agent learns better than any of the tested RL agents.
ERIC Educational Resources Information Center
Yusmanto, Harry; Soetjipto, Budi Eko; Djatmika, Ery Tri
2017-01-01
This Classroom Action Research aims to improve students' HOTS (High Order Thinking Skills) and Social Studies learning outcomes through the application of Carousel Feedback and Round Table cooperative learning methods. This study was based on a model proposed by Elliott and was implemented for three cycles. The subjects were 30 female students of…
Multi-Agent Framework for Virtual Learning Spaces.
ERIC Educational Resources Information Center
Sheremetov, Leonid; Nunez, Gustavo
1999-01-01
Discussion of computer-supported collaborative learning, distributed artificial intelligence, and intelligent tutoring systems focuses on the concept of agents, and describes a virtual learning environment that has a multi-agent system. Describes a model of interactions in collaborative learning and discusses agents for Web-based virtual…
Intelligent cooperation: A framework of pedagogic practice in the operating room.
Sutkin, Gary; Littleton, Eliza B; Kanter, Steven L
2018-04-01
Surgeons who work with trainees must address their learning needs without compromising patient safety. We used a constructivist grounded theory approach to examine videos of five teaching surgeries. Attending surgeons were interviewed afterward while watching cued videos of their cases. Codes were iteratively refined into major themes, and then constructed into a larger framework. We present a novel framework, Intelligent Cooperation, which accounts for the highly adaptive, iterative features of surgical teaching in the operating room. Specifically, we define Intelligent Cooperation as a sequence of coordinated exchanges between attending and trainee that accomplishes small surgical steps while simultaneously uncovering the trainee's learning needs. Intelligent Cooperation requires the attending to accurately determine learning needs, perform real-time needs assessment, provide critical scaffolding, and work with the learner to accomplish the next step in the surgery. This is achieved through intense, coordinated verbal and physical cooperation. Copyright © 2017 Elsevier Inc. All rights reserved.
A Cooperative Learning Group Procedure for Improving CTE and Science Integration
ERIC Educational Resources Information Center
Spindler, Matt
2016-01-01
The purpose of this case study was to create information about the employment of Cooperative Learning Groups (CLG) to enhance the science integrating learning objectives utilized in secondary CTE courses. The objectives of the study were to determine if CLGs were an effective means for increasing the number of: a) science integrating learning…
Students' Perceptions of Learning Geography through Group Investigation in Singapore
ERIC Educational Resources Information Center
Tan, Ivy Geok-Chin; Sharan, Shlomo; Lee, Christine Kim-Eng
2005-01-01
This study examines students' perceptions of the Group Investigation method of cooperative learning. A total of 142 students (62 low-achievers and 80 high-achievers) from two schools worked in cooperative learning groups during a period of over six weeks using the Group Investigation method. At the end of the study, they were asked to write their…
ERIC Educational Resources Information Center
Gambrari, Isiaka Amosa; Yusuf, Mudasiru Olalere; Thomas, David Akpa
2015-01-01
This study examined the effectiveness of computer-assisted instruction on Student Team Achievement Division (STAD) and Learning Together Model (LTM) cooperative learning strategies on Nigerian secondary students' achievement and motivation in physics. The efficacy of Authors developed computer assisted instructional package (CAI) for teaching…
ERIC Educational Resources Information Center
Tarhan, Leman; Ayyildiz, Yildizay; Ogunc, Aylin; Sesen, Burcin Acar
2013-01-01
Background: Cooperative learning is an active learning approach in which students work together in small groups to complete an assigned task. Students commonly find the subject of "physical and chemical changes" difficult and abstract, and thus they generally have many misconceptions about it. Purpose: This study aimed to investigate the…
A Comparison of Traditional and Cooperative Learning Methods in Online Learning
ERIC Educational Resources Information Center
Kupczynski, Lori; Mundy, Marie-Anne; Ruiz, Alberto
2013-01-01
The purpose of this study was to examine the effects of the Community of Inquiry framework through an in-depth examination of learning comprised of teaching, social and cognitive presence in traditional versus cooperative online teaching at a community college. A total of 21 students participated in this study, with approximately 45% having taken…
Prospective TESOL Teachers' Beliefs, Understandings, and Experiences of Cooperative Learning
ERIC Educational Resources Information Center
Wallestad, Chizuko Konishi
2010-01-01
The purpose of this present ethnographic case study is to explore the initial and developing beliefs, understandings, and experiences of prospective language teachers as they engage in the process of learning about cooperative learning (CL) and in putting it into practice in a TESOL graduate program in the U.S. Data collection includes multiple…
Using Cooperative Learning to Teach via Text Types
ERIC Educational Resources Information Center
Jacobs, George M.; Yong, Seah-Tay Hui
2004-01-01
This article offers ideas as to how students can collaborate as they learn about and utilize a variety of text types (also known as rhetorical modes). The article begins with explanations of the teaching of text types and cooperative learning. The longest section of the article consists of examples of ways that students can use cooperative…
Effects of Cooperative Learning on Students at An Giang University in Vietnam
ERIC Educational Resources Information Center
Tran, Van Dat; Lewis, Ramon
2012-01-01
This study investigates the effects of jigsaw cooperative learning on the achievement and knowledge retention of 80 final-year Vietnamese mathematics students, as well as reporting their attitudes toward this form of learning. These tertiary students were divided into two matched groups of 40 to be taught by the same lecturer. In the experimental…
Exploring Stakeholders' Perspectives of the Influences on Student Learning in Cooperative Education
ERIC Educational Resources Information Center
Fleming, Jenny
2015-01-01
Fundamental to cooperative education is a philosophical commitment to learning through the experience of work. The workplace can be viewed as a social environment and provides a context for learning that is very different from that provided within a university. The aim of this research was, through an interpretive case study, to explore the…
ERIC Educational Resources Information Center
Pennsylvania Department of Education, 2007
2007-01-01
Cooperative education is a method of instruction that enables students to combine academic classroom instruction (school-based learning component) with occupational instruction through learning on the job (work-based learning component) in a career area of choice. Emphasis is placed on the students' education and employability skills. Co-op is a…
ERIC Educational Resources Information Center
Akan, Obasi Haki
2005-01-01
By taking a postmodern ontology that elevates becoming over the modern ontology of being, the author of this article proposes a theory and describes a method that teachers can use to enhance students' cooperative learning of management principles. The author asserts that the social construction of learning groups is an effect of organizing…
ERIC Educational Resources Information Center
Kirbas, Abdulkadir
2017-01-01
In this study, the effect of the learning together technique, which is one of the cooperative learning methods, on the development of the listening comprehension and listening skills of the secondary school eighth grade students was investigated. Regarding the purpose of the research, experimental and control groups consisting of 75 students from,…
Improving Social Skills through the Use of Cooperative Learning
ERIC Educational Resources Information Center
Dollman, Lucinda; Morgan, Catherine; Pergler, Jennifer; Russell, William; Watts, Jennifer
2007-01-01
The purpose of this action research project is to improve student social skills through the use of cooperative learning, in order to develop a positive classroom environment that is conducive to learning. The action research project will involve approximately 95 students, 95 parents, and 200 teachers. It is the intent of the teacher researchers to…
"Facebook"--It's Not Just for Pictures Anymore: The Impact of Social Media on Cooperative Learning
ERIC Educational Resources Information Center
Daniels, Kisha N.; Billingsley, K. Y.
2014-01-01
This paper will share the research on the use of social media (specifically Facebook) in an effort to promote critical thinking and reflection. It purports that although often overlooked as a teaching, learning and assessment strategy, social media is a viable method that supports cooperative learning through the encouragement of thoughtful…
ERIC Educational Resources Information Center
Gambari, Amosa Isiaka; Yusuf, Mudasiru Olalere; Thomas, David Akpa
2015-01-01
This study examined the effectiveness of computer-assisted instruction on Student Team Achievement Division (STAD) and Learning Together (LT) cooperative learning strategies on Nigerian secondary students' achievement and motivation in physics. The effectiveness of computer assisted instructional package (CAI) for teaching physics concepts in…
ERIC Educational Resources Information Center
Vrhovec, Alenka Rot
2015-01-01
In the Slovenian language syllabus, teachers are recommended to provide a greater share of group work during class. During types of learning such as cooperative learning in smaller groups or pairs, students actively develop communicative competence. The present article presents a survey that attempted to determine whether teachers from the first…
ERIC Educational Resources Information Center
Chou, Mu-hsuan
2011-01-01
Cooperative learning has frequently been used in language classrooms, from in-class task-based group work to group presentations. Research suggests that cooperative learning provides mutual support, as well as successful and effective learning outcomes of tasks. The present research addressed a number of problems discovered in group oral…
ERIC Educational Resources Information Center
Roseth, Cary J.; Saltarelli, Andy J.; Glass, Chris R.
2011-01-01
Cooperative learning capitalizes on the relational processes by which peers promote learning, yet it remains unclear whether these processes operate similarly in face-to-face and online settings. This study addresses this issue by comparing face-to-face and computer-mediated versions of "constructive controversy", a cooperative learning procedure…
ERIC Educational Resources Information Center
Quann, Steve; Satin, Diana
This textbook leads high-beginning and intermediate English-as-a-Second-Language (ESL) students through cooperative computer-based activities that combine language learning with training in basic computer skills and word processing. Each unit concentrates on a basic concept of word processing while also focusing on a grammar topic. Skills are…
Ralph Waldo Emerson's Educational Philosophy as a Foundation for Cooperative Learning
ERIC Educational Resources Information Center
Williamson, Amy; Null, J. Wesley
2008-01-01
This article takes a closer look at Ralph Waldo Emerson's educational philosophy and its relationship to cooperative learning. Emerson believed that human beings should learn to think on their own, rather than solely acquire the craft of imitation or conformity by repeating the speech of their teachers. A liberating education, to Emerson, gives…
Organic Learning: Mutual Enterprise and the Learning and Skills Agenda. Policy Discussion Paper.
ERIC Educational Resources Information Center
Yeo, Stephen
The term "cooperative and mutual enterprises" (CMEs) was developed in 1999 by a mutuality task force in Oxfordshire, England, as a modern way of reasserting the notion of the adult education movement as a cooperative movement for social (democratic) inclusion. CMEs recall the tradition of learning through clubs, unions, mechanics'…
NASA Astrophysics Data System (ADS)
Maelasari, E.; Wahyudin
2017-09-01
The aim of this study is to describe the increasing of mathematical communications capability, and difference between students who get STAD cooperative learning and students who receive Direct Instruction. This study is a quasi-experimental study with pretest posttest study design. Subjects in this study in one of the fifth grade elementary school located in Cibeureum District, Kuningan. The research instrument used was a written test mathematical communication skills. The results showed that the improvement of mathematical communication capabilities Direct Instruction students who scored significantly better than students who learned with STAD cooperative learning. By grouping according to the ability of students will show a positive impact on student achievement in the classroom.
ERIC Educational Resources Information Center
Daniels, Ed; Gatto, Mike
These digests provide information for educators about the nature of cooperation and how cooperative principles can be used to restructure classrooms, administrative hierarchies, and work relationships of all types. Digest 1 describes the competitive, individual, and cooperative interaction patterns and examines the impact of cooperative learning…
Motif structure and cooperation in real-world complex networks
NASA Astrophysics Data System (ADS)
Salehi, Mostafa; Rabiee, Hamid R.; Jalili, Mahdi
2010-12-01
Networks of dynamical nodes serve as generic models for real-world systems in many branches of science ranging from mathematics to physics, technology, sociology and biology. Collective behavior of agents interacting over complex networks is important in many applications. The cooperation between selfish individuals is one of the most interesting collective phenomena. In this paper we address the interplay between the motifs’ cooperation properties and their abundance in a number of real-world networks including yeast protein-protein interaction, human brain, protein structure, email communication, dolphins’ social interaction, Zachary karate club and Net-science coauthorship networks. First, the amount of cooperativity for all possible undirected subgraphs with three to six nodes is calculated. To this end, the evolutionary dynamics of the Prisoner’s Dilemma game is considered and the cooperativity of each subgraph is calculated as the percentage of cooperating agents at the end of the simulation time. Then, the three- to six-node motifs are extracted for each network. The significance of the abundance of a motif, represented by a Z-value, is obtained by comparing them with some properly randomized versions of the original network. We found that there is always a group of motifs showing a significant inverse correlation between their cooperativity amount and Z-value, i.e. the more the Z-value the less the amount of cooperativity. This suggests that networks composed of well-structured units do not have good cooperativity properties.
Theme--Teaming Up: Agricultural Education and Cooperative Extension.
ERIC Educational Resources Information Center
Gamon, Julia A.; And Others
1994-01-01
Includes "Similarities and Differences" (Gamon); "Preparing Agriculture Teachers and Extension Agents" (Seevers); "Teaching and Extension" (Graham); "Cooperation between 4-H and FFA" (Hink); "Team Approach to Agricultural and Extension Education in Georgia" (Iverson, Rohs); "Agricultural…
When more of the same is better
NASA Astrophysics Data System (ADS)
Fontanari, José F.
2016-01-01
Problem solving (e.g., drug design, traffic engineering, software development) by task forces represents a substantial portion of the economy of developed countries. Here we use an agent-based model of cooperative problem-solving systems to study the influence of diversity on the performance of a task force. We assume that agents cooperate by exchanging information on their partial success and use that information to imitate the more successful agent in the system —the model. The agents differ only in their propensities to copy the model. We find that, for easy tasks, the optimal organization is a homogeneous system composed of agents with the highest possible copy propensities. For difficult tasks, we find that diversity can prevent the system from being trapped in sub-optimal solutions. However, when the system size is adjusted to maximize the performance the homogeneous systems outperform the heterogeneous systems, i.e., for optimal performance, sameness should be preferred to diversity.
Designing Distributed Learning Environments with Intelligent Software Agents
ERIC Educational Resources Information Center
Lin, Fuhua, Ed.
2005-01-01
"Designing Distributed Learning Environments with Intelligent Software Agents" reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents…
Quicker Q-Learning in Multi-Agent Systems
NASA Technical Reports Server (NTRS)
Agogino, Adrian K.; Tumer, Kagan
2005-01-01
Multi-agent learning in Markov Decisions Problems is challenging because of the presence ot two credit assignment problems: 1) How to credit an action taken at time step t for rewards received at t' greater than t; and 2) How to credit an action taken by agent i considering the system reward is a function of the actions of all the agents. The first credit assignment problem is typically addressed with temporal difference methods such as Q-learning OK TD(lambda) The second credit assi,onment problem is typically addressed either by hand-crafting reward functions that assign proper credit to an agent, or by making certain independence assumptions about an agent's state-space and reward function. To address both credit assignment problems simultaneously, we propose the Q Updates with Immediate Counterfactual Rewards-learning (QUICR-learning) designed to improve both the convergence properties and performance of Q-learning in large multi-agent problems. Instead of assuming that an agent s value function can be made independent of other agents, this method suppresses the impact of other agents using counterfactual rewards. Results on multi-agent grid-world problems over multiple topologies show that QUICR-learning can achieve up to thirty fold improvements in performance over both conventional and local Q-learning in the largest tested systems.
NASA Technical Reports Server (NTRS)
Truszkowski, Walt; Obenschain, Arthur F. (Technical Monitor)
2002-01-01
Currently, spacecraft ground systems have a well defined and somewhat standard architecture and operations concept. Based on domain analysis studies of various control centers conducted over the years it is clear that ground systems have core capabilities and functionality that are common across all ground systems. This observation alone supports the realization of reuse. Additionally, spacecraft ground systems are increasing in their ability to do things autonomously. They are being engineered using advanced expert systems technology to provide automated support for operators. A clearer understanding of the possible roles of agent technology is advancing the prospects of greater autonomy for these systems. Many of their functional and management tasks are or could be supported by applied agent technology, the dynamics of the ground system's infrastructure could be monitored by agents, there are intelligent agent-based approaches to user-interfaces, etc. The premise of this paper is that the concepts associated with software reuse, applicable in consideration of classically-engineered ground systems, can be updated to address their application in highly agent-based realizations of future ground systems. As a somewhat simplified example consider the following situation, involving human agents in a ground system context. Let Group A of controllers be working on Mission X. They are responsible for the command, control and health and safety of the Mission X spacecraft. Let us suppose that mission X successfully completes it mission and is turned off. Group A could be dispersed or perhaps move to another Mission Y. In this case there would be reuse of the human agents from Mission X to Mission Y. The Group A agents perform their well-understood functions in a somewhat but related context. There will be a learning or familiarization process that the group A agents go through to make the new context, determined by the new Mission Y, understood. This simplified scenario highlights some of the major issues that need to be addressed when considering the situation where Group A is composed of software-based agents (not their human counterparts) and they migrate from one mission support system to another. This paper will address: - definition of an agent architecture appropriate to support reuse; - identification of non-mission-specific agent capabilities required; - appropriate knowledge representation schemes for mission-specific knowledge; - agent interface with mission-specific knowledge (a type of Learning); development of a fully-operational group of cooperative software agents for ground system support; architecture and operation of a repository of reusable agents that could be the source of intelligent components for realizing an autonomous (or nearly autonomous) agent-based ground system, and an agent-based approach to repository management and operation (an intelligent interface for human use of the repository in a ground-system development activity).
Lin, Zu-Chun
2013-05-01
The aim of nursing education is to prepare students with critical thinking, high interests in profession and high proficiency in patient care. Cooperative learning promotes team work and encourages knowledge building upon discussion. It has been viewed as one of the most powerful learning methods. Technology has been considered an influential tool in teaching and learning. It assists students in gathering more information to solve the problems and master skills better. The purpose of this study was to compare the effect of technology-based cooperative learning with technology-based individual learning in nursing students' critical thinking in catheterization knowledge gaining, error discovering, skill acquisitions, and overall scores. This study used a pretest-posttest experimental design. Ninety-eight students were assigned randomly to one of two groups. Questionnaires and tests were collected at baseline and after completion of intervention. The results of this study showed that there was no significant difference in related catheterization skill performance. However, the remaining variables differed greatly between the two groups. CONCLUSIONS AND APPLICATIONS: This study's findings guide the researchers and instructors to use technology-based cooperative learning more appropriately. Future research should address the design of the course module and the availability of mobile devices to reach student-centered and learn on the move goals. Copyright © 2011 Elsevier Ltd. All rights reserved.
The Impact of a Peer-Learning Agent Based on Pair Programming in a Programming Course
ERIC Educational Resources Information Center
Han, Keun-Woo; Lee, EunKyoung; Lee, YoungJun
2010-01-01
This paper analyzes the educational effects of a peer-learning agent based on pair programming in programming courses. A peer-learning agent system was developed to facilitate the learning of a programming language through the use of pair programming strategies. This system is based on the role of a peer-learning agent from pedagogical and…
Impacts of Pedagogical Agent Gender in an Accessible Learning Environment
ERIC Educational Resources Information Center
Schroeder, Noah L.; Adesope, Olusola O.
2015-01-01
Advances in information technologies have resulted in the use of pedagogical agents to facilitate learning. Although several studies have been conducted to examine the effects of pedagogical agents on learning, little is known about gender stereotypes of agents and how those stereotypes influence student learning and attitudes. This study…
ERIC Educational Resources Information Center
Thomas, David R.
1978-01-01
Studies with the Madsen Cooperation Board are described, showing differences in cooperation and competition between Polynesian and European children. Another study of Cook Islands, Samoan, and Fijian children is reported and the school's role in increasing competitive behavior discussed. Teaching changes are suggested to encourage more adaptive…
Minimal model for tag-based cooperation
NASA Astrophysics Data System (ADS)
Traulsen, Arne; Schuster, Heinz Georg
2003-10-01
Recently, Riolo et al. [Nature (London) 414, 441 (2001)] showed by computer simulations that cooperation can arise without reciprocity when agents donate only to partners who are sufficiently similar to themselves. One striking outcome of their simulations was the observation that the number of tolerant agents that support a wide range of players was not constant in time, but showed characteristic fluctuations. The cause and robustness of these tides of tolerance remained to be explored. Here we clarify the situation by solving a minimal version of the model of Riolo et al. It allows us to identify a net surplus of random changes from intolerant to tolerant agents as a necessary mechanism that produces these oscillations of tolerance, which segregate different agents in time. This provides a new mechanism for maintaining different agents, i.e., for creating biodiversity. In our model the transition to the oscillating state is caused by a saddle node bifurcation. The frequency of the oscillations increases linearly with the transition rate from tolerant to intolerant agents.
Co-action provides rational basis for the evolutionary success of Pavlovian strategies
NASA Astrophysics Data System (ADS)
Sasidevan, V.; Sinha, Sitabhra
2016-08-01
Strategies incorporating direct reciprocity, e.g., Tit-for-Tat and Pavlov, have been shown to be successful for playing the Iterated Prisoners Dilemma (IPD), a paradigmatic problem for studying the evolution of cooperation among non-kin individuals. However it is an open question whether such reciprocal strategies can emerge as the rational outcome of repeated interactions between selfish agents. Here we show that adopting a co-action perspective, which takes into account the symmetry between agents - a relevant consideration in biological and social contexts - naturally leads to such a strategy. For a 2-player IPD, we show that the co-action solution corresponds to the Pavlov strategy, thereby providing a rational basis for it. For an IPD involving many players, an instance of the Public Goods game where cooperation is generally considered to be harder to achieve, we show that the cooperators always outnumber defectors in the co-action equilibrium. This can be seen as a generalization of Pavlov to contests involving many players. In general, repeated interactions allow rational agents to become aware of the inherent symmetry of their situation, enabling them to achieve robust cooperation through co-action strategies - which, in the case of IPD, is a reciprocal Pavlovian one.
A Unit on "Fahrenheit 451" That Uses Cooperative Learning (Resources and Reviews).
ERIC Educational Resources Information Center
Ebbers, Frances A.
1991-01-01
Provides a curriculum unit using the novel "Fahrenheit 451" to provide student-centered activities based on solid pedagogical methodology. Emphasizes value-centered analysis of the novel, comparison of alternative arguments, and integration of cooperative learning activities. (PRA)
NASA Astrophysics Data System (ADS)
Johnson, Roger; Brooker, Charlotte; Stutzman, James; Hultman, Donald; Johnson, David W.
The effects of cooperative-controversy, cooperative-concurrence seeking, and individualistic learning were compared on motivation, achievement, and attitudes toward the science subject being studied. Eighty-four fifth-grade students were assigned to conditions on a stratified random basis controlling for sex and reading ability. In all three conditions students studied whether wolves should or should not be a protected species. The results indicate that cooperative-controversy resulted in the highest achievement, greatest motivation to learn more about wolves, more positive attitudes toward the wolf, and more positive attitudes toward controversy.
Cooperative Learning--Part 3. Electronic Cooperative Quizzes.
ERIC Educational Resources Information Center
Jensen, Murray; Moore, Randy; Hatch, Jay
2002-01-01
Introduces the Electronic Cooperative Quiz (ECQ) program which aims to investigate the implementation of cooperative quizzes to the World Wide Web. Describes the creation and design of the program and evaluates the two different methods used with students. (YDS)
The Evolution of Cooperation in Managed Groundwater Systems: An Agent-Based Modelling Approach
NASA Astrophysics Data System (ADS)
Castilla Rho, J. C.; Mariethoz, G.; Rojas, R. F.; Andersen, M. S.; Kelly, B. F.; Holley, C.
2014-12-01
Human interactions with groundwater systems often exhibit complex features that hinder the sustainable management of the resource. This leads to costly and persistent conflicts over groundwater at the catchment scale. One possible way to address these conflicts is by gaining a better understanding of how social and groundwater dynamics coevolve using agent-based models (ABM). Such models allow exploring 'bottom-up' solutions (i.e., self-organised governance systems), where the behaviour of individual agents (e.g., farmers) results in the emergence of mutual cooperation among groundwater users. There is significant empirical evidence indicating that this kind of 'bottom-up' approach may lead to more enduring and sustainable outcomes, compared to conventional 'top-down' strategies such as centralized control and water right schemes (Ostrom 1990). New modelling tools are needed to study these concepts systematically and efficiently. Our model uses a conceptual framework to study cooperation and the emergence of social norms as initially proposed by Axelrod (1986), which we adapted to groundwater management. We developed an ABM that integrates social mechanisms and the physics of subsurface flow. The model explicitly represents feedback between groundwater conditions and social dynamics, capturing the spatial structure of these interactions and the potential effects on cooperation levels in an agricultural setting. Using this model, we investigate a series of mechanisms that may trigger norms supporting cooperative strategies, which can be sustained and become stable over time. For example, farmers in a self-monitoring community can be more efficient at achieving the objective of sustainable groundwater use than government-imposed regulation. Our coupled model thus offers a platform for testing new schemes promoting cooperation and improved resource use, which can be used as a basis for policy design. Importantly, we hope to raise awareness of agent-based modelling as a new tool for studying complex human-groundwater systems.
NASA Astrophysics Data System (ADS)
Lu, Yanrong; Liao, Fucheng; Deng, Jiamei; Liu, Huiyang
2017-09-01
This paper investigates the cooperative global optimal preview tracking problem of linear multi-agent systems under the assumption that the output of a leader is a previewable periodic signal and the topology graph contains a directed spanning tree. First, a type of distributed internal model is introduced, and the cooperative preview tracking problem is converted to a global optimal regulation problem of an augmented system. Second, an optimal controller, which can guarantee the asymptotic stability of the augmented system, is obtained by means of the standard linear quadratic optimal preview control theory. Third, on the basis of proving the existence conditions of the controller, sufficient conditions are given for the original problem to be solvable, meanwhile a cooperative global optimal controller with error integral and preview compensation is derived. Finally, the validity of theoretical results is demonstrated by a numerical simulation.
Spatially correlated heterogeneous aspirations to enhance network reciprocity
NASA Astrophysics Data System (ADS)
Tanimoto, Jun; Nakata, Makoto; Hagishima, Aya; Ikegaya, Naoki
2012-02-01
Perc & Wang demonstrated that aspiring to be the fittest under conditions of pairwise strategy updating enhances network reciprocity in structured populations playing 2×2 Prisoner's Dilemma games (Z. Wang, M. Perc, Aspiring to the fittest and promoted of cooperation in the Prisoner's Dilemma game, Physical Review E 82 (2010) 021115; M. Perc, Z. Wang, Heterogeneous aspiration promotes cooperation in the Prisoner's Dilemma game, PLOS one 5 (12) (2010) e15117). Through numerical simulations, this paper shows that network reciprocity is even greater if heterogeneous aspirations are imposed. We also suggest why heterogeneous aspiration fosters network reciprocity. It distributes strategy updating speed among agents in a manner that fortifies the initially allocated cooperators' clusters against invasion. This finding prompted us to further enhance the usual heterogeneous aspiration cases for heterogeneous network topologies. We find that a negative correlation between degree and aspiration level does extend cooperation among heterogeneously structured agents.
Randomized Study of the Impact of Cooperative Learning: Distance Education in Public Health
ERIC Educational Resources Information Center
Riley, William; Anderson, Paige
2006-01-01
The purpose of this study is to explore the effects of cooperative learning on cognitive outcomes in a public health graduate level Web-based distance education course. Specifically, the authors use a randomized control trial to determine the impact of two teaching pedagogies on learning effectiveness in three areas of the cognitive domain: (1)…
A Didactic Analysis of Content Development during Cooperative Learning in Primary Physical Education
ERIC Educational Resources Information Center
Wallhead, Tristan; Dyson, Ben
2017-01-01
The purpose of this study was to use the Joint Action Studies in Didactics (JASD) to understand how teachers' and students' interactions co-construct knowledge during Cooperative Learning (CL). The basis of CL is that students learn with and from each other through a structured interdependent relationship. A case study approach was used to examine…
ERIC Educational Resources Information Center
Estébanez, Raquel Pérez
2017-01-01
In the way of continuous improvement in teaching methods this paper explores the effects of Cooperative Learning (CL) against Traditional Learning (TL) in academic performance of students in higher education in two groups of the first course of Computer Science Degree at the university. The empirical study was conducted through an analysis of…