A systemic, flexible, and multidimensional model for evaluating e-learning programs

Mungania, Peni; Hatcher, Tim

doi:10.1002/pfi.4140430710

Cited by 3 publications

(1 citation statement)

References 13 publications

(12 reference statements)

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“…In the third section, the text gives the e-learning training effect EIS, in the proposed system, the response layer is the satisfaction degree of trainees; the learning layer measures the learning gain of trainees; the behavior layer examines the knowledge utilization of the trainees; and the result layer calculates the benefits created by the training [30,31]. Nowadays, MOOC technology, online platforms, information processing techniques, and audio-visual equipment have been widely applied; in order to improve the teaching quality of colleges and universities, carrying out e-learning training has become a specific manifestation of the structural reform of the supply-side in education [32]. Figure 8 lists the countermeasures proposed in this paper for improving the elearning training effect.…”

Section: Influencing Factors Of E-learning Training Effectmentioning

confidence: 99%

Effect Evaluation and Influencing Factors of E-Learning Training in Colleges

Zhou

2021

Int. J. Emerg. Technol. Learn.

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E-learning is a teaching model formed during the informatization of colleges. It is of great significance to the promotion of teaching reform. This paper tries to evaluate the training effect of e-learning among college students, understand their perception and expectation of e-learning, and demonstrate the importance of the training to the practical ability and professional knowledge utilization of college students. In addition, the factors affecting e-learning training in colleges are evaluated one by one. The results show that e-learning training effect can be assessed well with an evaluation index system (EIS), consisting of a response layer, a learning layer, a behavior layer, and a result layer. The training effect of e-learning is influenced by the trainee characteristics, working environment, and training design. The research lays a theoretical basis for applying e-learning training in teaching.

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Section: Influencing Factors Of E-learning Training Effectmentioning

confidence: 99%

Effect Evaluation and Influencing Factors of E-Learning Training in Colleges

Zhou

2021

Int. J. Emerg. Technol. Learn.

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Framework for the evaluation of e-learning in Malaysian Public Sector from the pedagogical perspective

Yunus

Salim

2008

2008 International Symposium on Information Technology

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Developing an Integrated Evaluation Framework for E-Learning

Cho

Park²,

Jo³

et al. 2009

Handbook of Research on E-Learning Applications for Career and Technical Education

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The purpose of this chapter is to provide an integrated evaluation framework of e-learning based on the basic concepts of evaluation and previous evaluation models. Several evaluation models were reviewed in order to lay the foundation for our proposed model of e-learning evaluation. Stufflebeam (1983), Kirkpatrick (1987), Phillips (1997), and Holton (1996) were chosen as four representative training evaluation models. The frameworks developed by Rosenberg (2001) and Khan (2005) were also reviewed to address several evaluation design issues for e-learning. Based on six evaluation models, an integrated framework is suggested for comprehensive e-learning evaluation. This integrated framework consists of six stages (i.e., context, resources, process, product, implementation, and outcomes) and two levels (i.e., program and organization). The practical case is introduced as an example that uses the integrated evaluation framework.

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A systemic, flexible, and multidimensional model for evaluating e-learning programs

Cited by 3 publications

References 13 publications

Effect Evaluation and Influencing Factors of E-Learning Training in Colleges

Effect Evaluation and Influencing Factors of E-Learning Training in Colleges

Framework for the evaluation of e-learning in Malaysian Public Sector from the pedagogical perspective

Developing an Integrated Evaluation Framework for E-Learning

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