Agent-based Simulation model for identifying failure on students' project

Issarapong Khuankrue, Fumihiro Kumeno, Yutaro Ohashi, Yasuhiro Tsujimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In learning and development, students need to be made aware of their slips and mistakes in terms of acquiring the required knowledge, skills and competencies, especially, in active learning approaches. However, assessments may not necessarily lead to an effective understanding of student's errors. Most assessors are required to measure the extent of student's accurate output in terms of exam answers or practical assessments. Areas of failure tend to be overlooked and for this reason, learners at-risk of achieving poor results can become careless when completing assessments. In the present study, we examine the following research questions: (i) How can we simulate the landscape of data on both individual and team behaviour in terms of failure in their projects? (ii) How can we develop ways of identifying at-risk students in each team and support them immediately? Therefore, in order to address this problem, this research proposes an agent-based simulation of student projects, which considers both individual and team errors. This model is created on the basis of particular characteristics of individual learners within the team. We assume that individuals working within a team are subject to recognition-primed decision making when confronted with particular problems to solve. The adjustment proposed by this model includes analysing the problem using prior knowledge and planning as well as judgements on the suitability of particular solutions. This research will be further developed to identify at-risk learners in terms of investigating the areas they want to develop to achieve their learning goals in particular subjects and especially in the software development fields.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3113-3118
Number of pages6
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - 2017 Nov 27
Externally publishedYes
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: 2017 Oct 52017 Oct 8

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Other

Other2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/TerritoryCanada
CityBanff
Period17/10/517/10/8

Keywords

  • Agent-based simulation
  • Human failure awareness
  • Recognition-primed decision model
  • Students' project

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

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