Evaluation of Students Performance using Fuzzy Set Theory in Online Learning of Islamic Finance Course

Bakar, Nashirah Abu; Rosbi, Sofian; Bakar, Azizi Abu

doi:10.3991/ijim.v15i07.20191

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…Communication that exists in a face-to-face classroom does not occur in an online classroom [26], [27]. For this reason, the learner in a such learning environment needs special attention in order to take into consideration his/her real needs in the choice of learning situations and feedback.…”

Section: Assessment In a Digital Learning Environmentmentioning

confidence: 99%

Online Competency‐Based Assessment (OCBA): From Conceptual Model to Operational Authoring System

Amraouy

Ballafkih

Bennane

et al. 2022

Int. J. Interact. Mob. Technol.

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Online learning has been growing continuously in the last decade, accelerated by the pandemic Coronavirus, in order to offer learners new possibilities for learning and to guarantee pedagogical continuity. But some aspects, including the learning assessment, are still in development and require profound changes to meet the demands of the 21st century. However, by taking advantage of artificial intelligence techniques and new learning theories, it would be possible to create an assessment system in accordance with the active learning approach. This paper illustrates the models, algorithms and design used to create a formative and summative assessment system that will be mobilized to evaluate learner’s knowledge, skills and competencies.

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Section: Assessment In a Digital Learning Environmentmentioning

confidence: 99%

Online Competency‐Based Assessment (OCBA): From Conceptual Model to Operational Authoring System

Amraouy

Ballafkih

Bennane

et al. 2022

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

show abstract

“…In another study, exam score, participation in forums, absenteeism were used as input parameters for fuzzy inference, and student performance was used as output parameter [45]. According to the results of the study, which examined the effects on the student's final exam performance with fuzzy logic, students with high online assessment grades and self-learning processes showed high performance on the final exam [40], [54]. Nor et al (2021) compared the mathematics course achievement of students in two rural and urban schools with fuzzy logic.…”

Section: Related Workmentioning

confidence: 99%

A Novel Student Performance Evaluation Model Based on Fuzzy Logic for Distance Learning

ÖZSEVEN>¹,

Çağman²

2022

IJMSIT

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Distance learning is an education model in which the educator and the student come together independently of time and place and the learning process is continued. Although it has positive aspects in terms of time and space, it has limitations such as weak interaction and poor functioning of evaluation processes. Assessment systems often include multiple-choice or open-ended questions. In other words, the result is evaluated in solving a given problem, and the student's actions can be ignored until the result is reached. In this study, while evaluating student performance, the student's behavior during the semester and the distractor weight coefficient for multiple-choice exams were added, and a performance evaluation was made on the student's incorrect answers. The proposed model was created based on fuzzy logic, and the uncertainties in the evaluation were attempted to be eliminated.

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“…In another study, exam score, participation in forums, absenteeism were used as input parameters for fuzzy inference, and student performance was used as output parameter (Wardoyo and Yuniarti, 2020). According to the results of the study, which examined the effects on the student's final exam performance with fuzzy logic, students with high online assessment grades and self-learning processes showed high performance on the final exam (Abu Bakar et al, 2020;Bakar et al, 2021). Nor et al (2021) compared the mathematics course achievement of students in two rural and urban schools with fuzzy logic.…”

Section: Related Workmentioning

confidence: 99%

A novel evaluation model based on fuzzy logic for distance learning

ÖZSEVEN>

Çağman

2022

Preprint

View full text Add to dashboard Cite

Distance learning is an education model in which the educator and the student come together independently of time and place and the learning process is continued. Although it has positive aspects in terms of time and space, it has limitations such as weak interaction and poor functioning of evaluation processes. Assessment systems often include multiple-choice or open-ended questions. That is, in solving a given problem, the result is evaluated, and the student's actions can be ignored until he reaches the result. In this study, while evaluating the student’s performance, the student's behavior during the semester and the distractor weight coefficient for the multiple-choice exams were added, and the performance assessment was based on the wrong answers of the student. The proposed model was created based on fuzzy logic, and the uncertainties in the evaluation were attempted to be eliminated.

show abstract

Evaluation of Students Performance using Fuzzy Set Theory in Online Learning of Islamic Finance Course

Cited by 4 publications

References 24 publications

Online Competency‐Based Assessment (OCBA): From Conceptual Model to Operational Authoring System

Online Competency‐Based Assessment (OCBA): From Conceptual Model to Operational Authoring System

A Novel Student Performance Evaluation Model Based on Fuzzy Logic for Distance Learning

A novel evaluation model based on fuzzy logic for distance learning

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