Evaluation of student performance in laboratory applications using fuzzy decision support system model

Yildiz, Zehra; Baba, Ahmet Fevzi

doi:10.1109/educon.2014.6826230

Cited by 18 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study shows that fuzzy systems can provide a better evaluation system than classical systems. However, improvements are still needed in terms of methods to reduce the error rate [15].…”

Section: Literature Reviewmentioning

confidence: 99%

“…By using 11 criteria in assessing where Moodle is already used by more than 200 countries in the world [7] and log data in the Moodle database with 50 tutors at Indonesia Open University [8], the assessment results can be beneficial for institutions in improving the tutor performance. The criteria which have been operated based on the needs of institutions, have been widely done by previous studies; such as [9], [10], [11], [12], [13], [14], and [15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Decision Support Model for Evaluating the Performance of Tutor’s Teaching using Moodle

Aryan¹,

Utama²

2021

IJETAE

View full text Add to dashboard Cite

Tutors as online teachers assume a significant part in the achievement of learning success. The capacity of an actual tutor is to instruct and work responsibly according to the learning objectives. The main goal of this research is to propose a decision support model (DSM) which is worked for tutor performance evaluation. Fuzzy AHP and hill climbing are the main method operated scientifically in this study, which both are utilized to analyse, design, and develop the constructed model. By utilizing log information on the Moodle platform, a study can be conducted, where the measurement of tutor performance is selected as the object of research using eleven parameters; like assignment feedback, assignment score, discussion feedback, discussion score, participation, motivation, teaching style, communication, concern, approach, and critical thinking. Later, such a model is going to be a problem solver in helping decision makers in deciding a decision to upgrade the tutors

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Decision Support Model for Evaluating the Performance of Tutor’s Teaching using Moodle

Aryan¹,

Utama²

2021

IJETAE

View full text Add to dashboard Cite

show abstract

“…R. S. Yadav et al [14] have proposed a new fuzzy expert system using different approaches to evaluate performances of students more practically. Z. Yildiz et al [15] have presented a model using the fuzzy multi criteria method for student's evaluation in laboratory activities. Their fuzzy decision support systems have given better results when compared to classical systems.…”

Section: Literature Reviewmentioning

confidence: 99%

A Brief Survey on Fuzzy Logic Systems for Performance Appraisal

Manuja¹,

Singh²,

Gupta³

2018

IJCA

View full text Add to dashboard Cite

Effective monitoring of student's performance is an important task for successful higher learning. Performance appraisal enables institutions to foresee student progression as well as inform the students well in time, the areas they need to improve. Traditional evaluation methods do not fully justify these objectives whereas Fuzzy logic based appraisal approaches are like human inference and give better evaluation results. In this paper we describe the advantages of the fuzzy logic approach for performance evaluation over the traditional method as fuzzy expert system can be built not only with the given information in the dataset but can also include the vital knowledge of experts at various levels as and when required. Furthermore, various existing approaches using fuzzy logic approach in this field have been investigated and compared for their merits and demerits.

show abstract

“…However, the assessment generally applies the standard fuzzy logic method [8] [9][7] [10]. Modification is an attempt to reveal the flexibility and to optimize the use of fuzzy.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [12] applies the fuzzy rules based on the recommendations but does not discuss what if there are differences of opinion in the consequent formulation for the same antecedent. Other studies related to the application of fuzzy logic in the assessment are [8][9] [10]. The three references apply the fuzzy inference system with the Mamdani approach as an implication interpretation approach and do not compare with other interpretation approaches.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Fuzzy Logic Modification for Student Assessment in e-Learning

Wardoyo

Yuniarti

2020

IJID

View full text Add to dashboard Cite

The phenomenon of the rapid transfer of learning to online systems, such as e-Learning, has occurred massively. Institutions must ensure that student assessments run well. The characteristics of learning in e-Learning require an appropriate assessment method. The fuzzy logic method can be an option. Research shows that fuzzy logic is capable of providing flexible and objective performance evaluation. Fuzzy logic is a method that can overcome the uncertainty of transparency and objectivity of student assessments. In general, fuzzy logic applications are carried out by standards. Modification is an attempt to reveal the flexibility and to optimize the use of fuzzy logic. This study presents an analysis of fuzzy logic modification for the assessment of Algorithm and Data Structures courses held in e-Learning. These modifications include (i) modification of the parameter score with score compatibility, (ii) consequent modification of the fuzzy rules and (iii) modification of the implication process. The study results show that although the use of fuzzy logic requires more complicated procedures and tools, it can present various kinds of assessment as an option for educators to assess students in e-Learning.

show abstract

Evaluation of student performance in laboratory applications using fuzzy decision support system model

Cited by 18 publications

References 2 publications

Decision Support Model for Evaluating the Performance of Tutor’s Teaching using Moodle

Decision Support Model for Evaluating the Performance of Tutor’s Teaching using Moodle

A Brief Survey on Fuzzy Logic Systems for Performance Appraisal

Analysis of Fuzzy Logic Modification for Student Assessment in e-Learning

Contact Info

Product

Resources

About