Modeling agent‐based performance evaluation for e‐learning systems

Chiu, Hsiao Ya; Sheng, Chieh Chung; Chen, An-Pin

doi:10.1108/02640470810879491

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…Bititci et al (2002), Folan, Higgins, and Browne (2006) and Saiz et al (2010) have developed certain information technology (IT) based architectures for the SC performance measurement. Chiu, Sheng, and Chen (2008) have provided the MAS in the e-Learning PMS. Farshchi, Jusoh, and Murad (2010) have used the MAS in IT projects' PMS.…”

Section: The Link Analysis Methods For the Sc Performance Measurementmentioning

confidence: 99%

Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal

Teimoury

Chambar

Gholamian

et al. 2014

International Journal of Computer Integrated Manufacturing

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Previous studies have not provided any information system (IS) solution for the supply chain (SC) performance measurement based on the Global Supply Chain Forum (GSCF) reference model due to the complexities of interoperability among the ISs in the SC. As an innovation, this paper has proposed an architecture that allows the SC Performance Measurement System (SCPMS) components to have multi-level interoperability by integrating the multi-agent technology as well as ontology technology. It has also proposed a method to develop the required ontologies for the PMS agents and developed the ontologies in the Web Ontology Language (OWL) to provide the semantic level interoperability. The syntax-level interoperability has been provided by a number of agent interaction protocols (AIPs). As another innovation, the authors have developed the SCPMS algorithms for the link analysis method by the Breadth-First Search (BFS) method and proved those algorithms. The authors have created the PMS agents based on those algorithms and prototyped a Multi-Agent System (MAS) for the SC of a tile manufacturer as a case study. The proposed multi-level architecture supports the GSCF model in the SC performance measurement, and improves the interoperability and the integration of the SCPMS.

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Section: The Link Analysis Methods For the Sc Performance Measurementmentioning

confidence: 99%

Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal

Teimoury

Chambar

Gholamian

et al. 2014

International Journal of Computer Integrated Manufacturing

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“…Therefore, the MADS apply a satisfaction-oriented option analysis to normalize both qualitative and quantitative data source. [12] …”

Section: Apply Roa To Diagnosis Agentmentioning

confidence: 97%

“…This study concludes that an organization can integrate ROA concepts into agent-based system as core mechanism to perform the 'Diagnostic' process by profiling learners' behavior in LMS. [12] [15] …”

Section: Preliminariesmentioning

confidence: 98%

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Profiling Learners Behavior: A Multi-agent Approach to Support Diagnosis in Learning Management System

Chiu

2008

2008 Third International Conference on Convergence and Hybrid Information Technology

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Learning management system has become an important role to support traditional classroom learning, e-learning and blended learning. However, learner behavior analysis is difficult because it lacks face-to-face interactions between lecturers and students in most e-learning environments. Thus, it is almost impossible to evaluate learning performance before the end of learning cycle. This study proposes a multi-agent framework to real-time monitor learners' behavior, forecast their learning performance, and adapt proper strategies by both lecturers and students to increase learning effectiveness.

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“…Wang et al (2007) assert that for e-learning applications to be used effectively, we need reliable methods to evaluate the performance of e-learning systems (Wang et al, 2007). On the other hand, elearning evaluation is complex because it must integrate four distinct domains: learning evaluation, IT improvement, project management and organizational management (Chiu and Sheng, 2008).…”

mentioning

confidence: 99%

Developing a new framework for evaluating e-learning systems: integrating BSC and FAHP

Pour¹,

Hosseinzadeh

Azar

et al. 2017

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Purpose E-learning is one area of strategic application of information technology (IT) in the educational field. In the past, massive investments in e-learning systems have neither been necessarily effective nor created value for e-learners. As a result, e-learning systems’ evaluation has become critical. Although many researchers have studied e-learning’s performance evaluation, there is little research on e-learning assessment, which uses pedagogical principles and organizational issues along with information systems (ISs) assessment measures. Thus, the purpose of this study is to consolidate multi-dimensional aspects of e-learning evaluation by applying balanced scorecard (BSC) as a strategic performance measurement method. This study further seeks a solution for designing a systematic approach, in which three equally important considerations must be balanced: organization, pedagogy and technology. Design/methodology/approach This paper introduces a framework for assessing e-learning systems by using fuzzy analytic hierarchy process (FAHP) and BSC. Owing to the growing use of BSC in strategic management, this study applies its four perspectives as a base for performance evaluation. To identify measures of each perspective, a comprehensive literature review has been conducted. Modifying the list of measures is completed in two phases: first by using a focus group consisting of six e-learning experts, and second, by using a survey analysis conducted among 256 Iranian e-learners. FAHP is applied to weigh and determine the rank-order of the measures. Findings The results propose integrating pedagogical, organizational and technical measures based on the BSC framework for evaluating e-learning systems. In the proposed framework, effective BSC perspectives and their rank-orders and weights are presented as a guideline for assessing e-learning systems in Iran. Research implications In e-learning initiatives, organizational issues must be considered along with technological and pedagogical factors simultaneously. The proposed framework can assist educational institutions and organizations to identify weaknesses and strengths of e-learning projects and guide them to select appropriate strategies for progress. Originality/value A review of the e-learning literature shows that there are few substantive theoretical accounts, which adequately integrate multiple dimensions of e-learning evaluation; yet, most researchers view e-learning evaluation as the most difficult part in the e-learning implementation process. This study proposes a new conceptual framework to evaluate e-learning initiatives systematically. The main contribution of this study is to develop a new systematic approach for e-learning systems’ evaluation that integrates two well-established managerial methodologies (BSC and FAHP), and considers pedagogical, organizational and technological aspects synchronously.

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Modeling agent‐based performance evaluation for e‐learning systems

Cited by 11 publications

References 11 publications

Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal

Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal

Profiling Learners Behavior: A Multi-agent Approach to Support Diagnosis in Learning Management System

Developing a new framework for evaluating e-learning systems: integrating BSC and FAHP

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