Multiagent System for Detecting Passive Students in Problem-Based Learning

Pontes, Alexandre Ádames Alves; Neto, Francisco Milton Mendes; Campos, Gustavo Augusto Lima de

doi:10.1007/978-3-642-12433-4_20

Cited by 9 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…IAs have been applied to several areas, including computer games [19], due to their goal-driven behaviour, reactivity, reasoning, adaptability, learning, communication and cooperation. A set of autonomous agents collaborating among themselves to solve a problem whose solution is beyond the capacity of a single agent is considered a multi-agent system [20].…”

Section: Intelligent Agentsmentioning

confidence: 99%

Learning Risk Management in Software Projects with a Serious Game Based on Intelligent Agents and Fuzzy Systems

Oliveira¹,

Cintra²,

Neto³

2013

Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology

View full text Add to dashboard Cite

Traditional approaches for facilitating the learning process in risk analysis and management in software projects usually lack practical activities in solving real problems. This is basically due to time restrictions and the difficulty of simulating real scenarios where such risks occur. In this sense, games have been used as a learning resource to simulate real scenarios and allow users to learn and practice with no real risks or losses. In this paper, we present an ongoing project to develop a multi-player, persistent, Web-based game. This game, named eRiskGame, aims to improve the learning process in risk management in software projects based on intelligent agents and fuzzy systems. The intelligent agents control the actions of the game based on fuzzy systems that store expert knowledge in fuzzy rule bases. Users play the role of software project managers who have to compete for market resources by presenting competitive budgets and software management plans. Users also have to deal with real-world problems involving risks, such as managing employees, budgets, and changes in project plans. The game is being validated in two undergraduate software engineering courses. This paper introduces the techniques used in the project and details eRiskGame.

show abstract

Section: Intelligent Agentsmentioning

confidence: 99%

Learning Risk Management in Software Projects with a Serious Game Based on Intelligent Agents and Fuzzy Systems

Oliveira¹,

Cintra²,

Neto³

2013

Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology

View full text Add to dashboard Cite

show abstract

“…According to [1], one of the most important classifications of agents is in relation of them to be reactive or cognitive. They can be agents of software or hardware, static or mobile, persistent or nonpersistent, reactive or cognitive.…”

Section: Use Of Agents In Learning Support Systemsmentioning

confidence: 99%

“…Since they do not have memory, they are unable to plan future actions [8,1]. Since they do not have memory, they are unable to plan future actions [8,1].…”

Section: Use Of Agents In Learning Support Systemsmentioning

confidence: 99%

“…In [1], it is proposed an agent-based approach for detecting passive students in the problem-based learning (PBL) in virtual learning environments in order to detect and correct the presence of passive students, that are students who have difficulty of working in teams to solve a problem. Thus, this work aims to make the learning environment more pro-active, thus improving the learning process.…”

Section: Related Workmentioning

confidence: 99%

“…Through this support is possible to automate increasingly the process of learning, making the teacher a facilitator, ceasing to be the main source of information and passing to drive the learning process [1]. The developments of computer networks, the improvement of the processing capability of personal computers and the advance of multimedia technologies, among other factors, contributed to the creation of this scenario.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Recommendation of Learning Objects in an Ubiquitous Learning Environment through an Agent-Based Approach

Silva

Neto

Júnior

et al. 2012

Communications in Computer and Information Science

Self Cite

View full text Add to dashboard Cite

An ubiquitous learning environment provides students with a teaching method that would be not possible to be performed in a conventional web-based course. The use of learning objects in a standard way consists of an effective way to allow, among other features, content reuse and interoperability between different Learning Management Systems (LMS). Thus, these contents can be reassembled to create new content. However, a problem that occurs frequently is the unsuitability of the content to the context in which the student is inserted. A context-aware ubiquitous learning support environment allows students participating in this kind of course to receive content that suits their needs (available physical resources, preferences, geographic location, learning styles etc.). Thus, this paper presents an agent-based approach to context-aware recommendation of learning objects in order to enhance the learning process in ubiquitous learning.

show abstract

A Serious Game for Supporting Training in Risk Management through Project-Based Learning

Galvão

Neto

Bonates

et al. 2012

Communications in Computer and Information Science

View full text Add to dashboard Cite

Multiagent System for Detecting Passive Students in Problem-Based Learning

Cited by 9 publications

References 7 publications

Learning Risk Management in Software Projects with a Serious Game Based on Intelligent Agents and Fuzzy Systems

Learning Risk Management in Software Projects with a Serious Game Based on Intelligent Agents and Fuzzy Systems

Recommendation of Learning Objects in an Ubiquitous Learning Environment through an Agent-Based Approach

A Serious Game for Supporting Training in Risk Management through Project-Based Learning

Contact Info

Product

Resources

About