Agent-based cooperative learning

Soh, Leen-Kiat; Jiang, Hong; Ansorge, Charles J.

doi:10.1145/971300.971427

Cited by 17 publications

(1 citation statement)

References 12 publications

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“…The features of Multi-Agent Systems (MAS), have within the frame of their objectives the ability to be proactive, reactive, social, truthful, benevolent, adaptive, autonomous and rational (Bellifemine et al, 2007;Weiss, 2013) are the reasons for adopting this approach in software systems (Soh et al, 2004;Masrom et al, 2009). MAS is a multi-platform environment, in which an agent can be added or removed with minimal impact to the system.…”

Section: Multi-agent Systemsmentioning

confidence: 99%

A Framework for a Multi-Layered Security of an Automated Programming Code Assessment Tool

Marhusin¹,

Kafli²,

Sulaiman

et al. 2015

Journal of Computer Science

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In a learning environment, a low student-lecturer ratio is considered a practical solution by many educational institutions. However, the number of students in information technology is increasing every year. This could lead to a significant increase in the workload of lecturers, who need to evaluate assignments, quizzes and projects. Hence, it is desirable that an automated assessment tool is used to lessen their workload. In the era where mobile devices are getting popularity, the high demand to execute suitable quality code is there and the cost is on the processing power of the CPU which has a direct implication on the power source or the battery used. With various implementations of cryptography algorithms available, many of them could satisfy different level of needs. In this research, we introduce the architecture for a multi-layered security of automated assessment of programming code. First, we review the existing research studies in the area. We describe the features of the tool, as part of a complex elearning environment. We also discuss the implementation of security, to protect data transmission and storage used by the tool. Challenges the system might face and the potential solutions, are also described.

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Section: Multi-agent Systemsmentioning

confidence: 99%

A Framework for a Multi-Layered Security of an Automated Programming Code Assessment Tool

Marhusin¹,

Kafli²,

Sulaiman

et al. 2015

Journal of Computer Science

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Ultra-Personalization and Decentralization: The Potential of Multi-Agent Systems in Personal and Informal Learning

Aseere

Millard

Gerding

2010

Sustaining TEL: From Innovation to Learning and Practice

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Abstract. Agents are autonomous software components that work with one another in a decentralized fashion to achieve some end. Agent systems have been used in Technology Enhanced Learning (TEL) before, but these applications seldom take advantage of the fact that each agent may have its own goals and strategies, which makes agent systems an attractive way of providing personalized learning. In particular, since agents can solve problems in a decentralized way, this makes them an attractive way of supporting informal learning. In this paper we use scenarios to examine how common problem solving techniques from the agents world (voting, coalition formation and auction systems) map to significant challenges for personalized and informal learning in the TEL world. Through an agent simulation we then show how an agent system might perform in one of those scenarios and explore how different agent strategies might influence the outcome. Based on this work we argue that agent systems provide a way of providing ultra-personalization of the learning process in a decentralized way and highlight equitability and scrutability as two key challenges for future investigation.

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Race-Positive Career and Technical Education: Techno-Social Agency Beyond the Vocational-Liberal Divide

2022

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Agent-based cooperative learning

Cited by 17 publications

References 12 publications

A Framework for a Multi-Layered Security of an Automated Programming Code Assessment Tool

A Framework for a Multi-Layered Security of an Automated Programming Code Assessment Tool

Ultra-Personalization and Decentralization: The Potential of Multi-Agent Systems in Personal and Informal Learning

Race-Positive Career and Technical Education: Techno-Social Agency Beyond the Vocational-Liberal Divide

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