Notice of Retraction: A Study on Fuzzy Evaluation of E-learning Teaching Quality

Yongqiang, He; Wang, Jianxin

doi:10.1109/ebiss.2010.5473769

Cited by 4 publications

(2 citation statements)

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“…Other approaches [4] use fuzzy inference to analyze students' way of working and group's behavior, while in other research areas fuzzy logic has been used to improve search capabilities of Learning Management Systems (LMSs) [5]. In the field of evaluation, under different perspectives the application of fuzzy logic to the evaluation of students' performances according to their profile [6], or to an evaluation teaching systems' quality [7] has been applied.…”

Section: Decision Support Systems and Lmssmentioning

confidence: 99%

Implications of learning environments on the Information Systems of educational institutions

Molinari¹,

Maresca²

2018

International Conferences on Distributed Multimedia Systems

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Since the early years where they started to enter the market, Learning Management Systems (LMS) have reached a very high level of maturity, providing professional solutions to mostly any educational need referring to distance learning. In this paper, an analysis of how LMSs should evolve in the future is presented, according to authors' experience, in terms of functionalities and services provided to users. Behind these new functionalities and services, we foresee research fields that could provide interesting and fruitful stimulus to the market and to these platforms. The foreseen direction is the one that goes towards an expansion of the collaboration services, where virtual learning environments should be mixed with typical Computer Supported Collaborative Work (CSCW) tools and approaches that put collaboration at the heart of the system. Nevertheless, also traditional e-learning services should be improved with additions coming exactly from this integration with cooperative / collaborative services. The reference point is a virtual community platform created and developed along the years, used in the authors' institutions and in several public and private organizations. The platform is oriented towards the support of collaborative processes, where of course e-learning is one of the most important, but not the only one, and where new services supporting collaboration in different ways are constantly added.

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Section: Decision Support Systems and Lmssmentioning

confidence: 99%

Implications of learning environments on the Information Systems of educational institutions

Molinari¹,

Maresca²

2018

International Conferences on Distributed Multimedia Systems

View full text Add to dashboard Cite

show abstract

“…Other approaches [4] use fuzzy inference to analyze students' way of working and group's behavior, while in other research areas fuzzy logic has been used to improve search capabilities of Learning Management Systems (LMSs) [5]. In the field of evaluation, under different perspectives we find the application of fuzzy logic to the evaluation of students' performances according to their profile [6], or to an evaluation teaching systems' quality [7].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Expert Fuzzy TOPSIS-based Model for the Evaluation of e-Learning Paths

Fedrizzi¹,

Molinari²

2013

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

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In e-learning settings, the evaluation of different alternatives regarding learning paths' proposals is nowadays crucial, due to the great attention devoted to the construction of learning objects (LO) available through Learning Management Systems (LMS). In this paper, we present a model aiming to support this evaluation process, in presence of multiple attributes and of a panel of experts involved in educational processes.The evaluation of alternatives of e-learning paths, is carried out by each expert using the TOPSIS method under the assumption that the scores are linguistically assessed and represented by positive triangular fuzzy numbers. Given the individual rankings of alternatives, a consensus modelling mechanism is introduced where the disagreement between the rankings of single experts and the group ranking is measured with a Spearman foot rule distance. A compromise solution (consensual group ranking) is determined through a constrained optimization model where the objective function is represented by a OWA-based aggregation of individual distances and constraints are imposed on individual disagreements.

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Study on the Evaluation System of E-Learning Based on E-Learning Portfolio

Yongqiang

Jinwu

2011

Computing and Intelligent Systems

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Notice of Retraction: A Study on Fuzzy Evaluation of E-learning Teaching Quality

Cited by 4 publications

References 0 publications

Implications of learning environments on the Information Systems of educational institutions

Implications of learning environments on the Information Systems of educational institutions

A Multi-Expert Fuzzy TOPSIS-based Model for the Evaluation of e-Learning Paths

Study on the Evaluation System of E-Learning Based on E-Learning Portfolio

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