A new fuzzy peer assessment methodology for cooperative learning of students

Chai, Kоk Chin; Tay, Kai Meng; Lim, Chee Peng

doi:10.1016/j.asoc.2015.03.056

Cited by 21 publications

(7 citation statements)

References 35 publications

(112 reference statements)

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“…The second part F 2 contained three concepts and six questions. The third part F 3 [6,6,8,10], the crisp output value for learning achievement was 10.33. Table 3 shows the respective ranges of crisp output values for evaluating learning achievement.…”

Section: Building a Range Of Crisp Output Values For Evaluating Learning Achievementmentioning

confidence: 99%

Fuzzy logic and Gagné learning hierarchy for assessing mathematics skills

2021

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This study developed a fuzzy logic and Gagné learning hierarchy (FL-GLH) for assessing mathematics skills and identifying learning barrier points. Fuzzy logic was used to model the human reasoning process in linguistic terms. Specifically, fuzzy logic was used to build relationships between skill level concepts as inputs and learning achievement as an output. Gagné learning hierarchy was used to develop a learning hierarchy diagram, which included learning paths and test questions for assessing mathematics skills. First, the Gagné learning hierarchy was used to generate learning path diagrams and test questions. In the second step, skill level concepts were grouped, and their membership functions were established to fuzzify the input parameters and to build membership functions of learning achievement as an output. Third, the inference engine generated fuzzy values by applying fuzzy rules based on fuzzy reasoning. Finally, the defuzzifier converted fuzzy values to crisp output values for learning achievement. Practical applications of the FL-GLH confirmed its effectiveness for evaluating student learning achievement, for finding student learning barrier points, and for providing teachers with guidelines for improving learning efficiency in students.

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Section: Building a Range Of Crisp Output Values For Evaluating Learning Achievementmentioning

confidence: 99%

Fuzzy logic and Gagné learning hierarchy for assessing mathematics skills

2021

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“…Very recently, researchers have shown some discrete applications of this artificial intelligence via fuzzy in assessment and evaluation. For instance, Chai et al (2015) have shown an innovative fuzzy peer methodology enhancing cooperative learning of the educands considering the vagueness and imprecision of the words used in the whole course of the evaluation process. Sanchez-Torrubia et al (2012) have attempted to develop a granular linguistic model of a phenomenon (GLMP) to design the learning process as is in the e-learning system and apply the automated generation of the assessment of an assessment report.…”

Section: Artificial Intelligence and Assessment Evaluationmentioning

confidence: 99%

Evaluation of the Convincing Ability through Presentation Skills of Pre-Service Management Wizards Using AI via T2 Linguistic Fuzzy Logic

Dey

Jana

2022

JCCE

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Convincing ability is one of the most desirable attributes to be a successful management wizard in any field whether political, business, or domestic. They require to present various facts in such convincing style, strategically employing verbal as well as non-verbal communication, that all being persuaded, accede to their proposal, and their goal is achieved very smoothly. Till date this presentation evaluation skill has been measured in various ways without emphasizing much on various style enhancing attributes. So, in this present paper a communicative approach has been made proposing a model, devised centering Interval Type-2 Fuzzy logic for evaluating the convincing ability of the presenter/communicator through the positive response from the affected audience. And this has been done conducting the study on a group of students budding to be masters in business administration. Here it has also been shown the advantage of the present evaluation procedure over the previously suggested methods.

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“…A new fuzzy peer assessment methodology which is the synthesis of Per-C and a fuzzy ranking algorithm and considers vagueness and imprecision of words used throughout the evaluation process in a cooperative learning environment, is proposed in (Chai et al, 2015). (Mendel, 2007)…”

Section: Fuzzy Self and Peer Assessmentmentioning

confidence: 99%

“…In general, peer assessment has two types: (i) asking students to assess other students' work in a class; (ii) asking students to assess other students' performance in an identical group (Falchikov, 1995) (Chai, Tay, & Lim, 2015). The rapid development of Internet technologies has led to a dramatic change in educational methods in the last decade.…”

Section: Introductionmentioning

confidence: 99%

Computing with words for student peer assessment in oral presentation

rahmanian

Shafieian

Samie

2021

Nexo Revista Científica

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Peer assessment in an oral presentation can motivate and give more sense of responsibility to students. In recent years, various methods have been proposed to evaluate peers. In this paper, a novel peer online assessment method is proposed for oral presentation using perceptual computing. The output of the proposed system can be a numerical score for the overall assessment of a student in the presentation, which allows comparison and ranking of student performance. Furthermore, a linguistic evaluation that describes the student's performance is obtained from the system. A case study has been conducted to show the effectiveness of the proposed method; then the results are analyzed and reviewed.

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A new fuzzy peer assessment methodology for cooperative learning of students

Cited by 21 publications

References 35 publications

Fuzzy logic and Gagné learning hierarchy for assessing mathematics skills

Fuzzy logic and Gagné learning hierarchy for assessing mathematics skills

Evaluation of the Convincing Ability through Presentation Skills of Pre-Service Management Wizards Using AI via T2 Linguistic Fuzzy Logic

Computing with words for student peer assessment in oral presentation

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