Predicting learners styles based on fuzzy model

Alian, Marwah; Shaout, Adnan

doi:10.1007/s10639-016-9543-4

Cited by 11 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“… Troussas et al ( 2020 ) Dynamic Advice Generator. Assessment of learning styles Alian and Shaout ( 2017 ) Selection of the suitable learning tool. Ozdemir et al ( 2016 ) Determining the best learning style.…”

Section: Theoretical Framework and Related Workmentioning

confidence: 99%

“…Alian and Shaout ( 2017 ) propose a Fuzzy Inference model to predict the student’s learning style in an e-learning environment based on the VARK questionnaire domains (Visual, Aural, Read/Write, Kinesthetic). To find the best learning style for teachers, Ozdemir et al ( 2016 ) present a Fuzzy inference system based on the learning styles of Honey &Mumford and McCarthy.…”

Section: Theoretical Framework and Related Workmentioning

confidence: 99%

“…A Expert System with Fuzzy Logic can be applied to improve and classify student behaviors (Lin et al, 2016 ). In the area of education, we have the following examples: Assessment of students’ difficulties to suggest strategies for learning (Gomathi and Rajamani, 2017 ; Lin et al, 2016 ; Novak and Oreski, 2016 ), assessment of cognitive skills (Saido et al, 2018 ; Chrysafiadi and Virvou, 2015 ), assessment of learning styles (Aissaoui et al, 2019 ; Alian and Shaout, 2017 ; Ozdemir et al, 2016 ), assessment of the Soft Skills communication (Ozdemir and Tekin, 2016 ) and creativity (Susnea and Vasiliu, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy Soft Skills Assessment through Active Learning Sessions

Novais

Matelli

Silva

2023

Int J Artif Intell Educ

View full text Add to dashboard Cite

This research aims to present a Fuzzy Expert System with psychologist expertise that seeks to assist professors, researchers and educational institutions in assessing the level of incorporation of students’ Soft Skills while attending Active Learning sessions. The difficulties encountered by higher education institutions, researchers and professors in evaluating subjective and behavioral components, such as Soft Skills, was one of the problems that motivated the undertaking of this research. The theoretical framework on which this work is based includes the development and evaluation of Soft Skills in students, some concepts and characteristics about Active Learning and the main attributes and properties of Fuzzy Logic. This research is of an exploratory applied nature, a qualitative and quantitative approach is proposed, in which the methodological triangulation between the bibliographic analysis, the case study and the modeling and implementation of the expert system called Fuzzy Soft Skills Assessment was used to achieve the objective proposed.

show abstract

Section: Theoretical Framework and Related Workmentioning

confidence: 99%

Section: Theoretical Framework and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy Soft Skills Assessment through Active Learning Sessions

Novais

Matelli

Silva

2023

Int J Artif Intell Educ

View full text Add to dashboard Cite

show abstract

“…Aktualisasi dapat dilakukan dalam bentuk pengeksplorasian kebiasaan tertentu atau cara belajar yang dirasa paling mudah dan disukai ketika memahami pengetahuan baru. Hal tersebut dikenal dengan sebutan gaya belajar (learning style) [7]. Namun kenyataan yang terjadi saat ini ialah ketika pendidik menyelenggarakan proses pembelajaran, siswa selalu diberi sajian materi pelajaran dengan bentuk model penyajian yang sama untuk setiap individu siswa, yang artinya telah menganggap bahwa semua siswa mempunyai karakter dan cara dalam memahami ilmu pengetahuan melalui jalan yang sama tanpa menghiraukan faktor psikologis dan fisiologis siswa.…”

Section: Pendahuluanunclassified

Improving Students' Critical Thinking Ability with Enhanced-Open Learning Approach Using Adaptive Hypermedia

Sulistyanto

Nurgiyatna

Prayitno

et al. 2022

UJET

View full text Add to dashboard Cite

The Critical thinking is important in education because it encourages students to gain an understanding of more complex information. High critical thinking skills will lead students to find and conclude their understanding. The prolonged COVID-19 pandemic has made global changes in the implementation of learning. Until now, the learning process is still directed at the online learning model with the help of various Learning Management System (LMS) platforms. Conditions like this have implications for the decline in students' critical thinking skills in various aspects, such as inference, interpretation, explanation, analysis, evaluation, and self-regulation. This study aims at proposing an alternative learning approach, namely the enhanced-open learning model which is used to empower and improve students' critical thinking skills. This learning model was developed using the Research and Development (R&D) method and implemented with an adaptive hypermedia learning application media designed with the Luther development model. The sampling technique used was cluster random sampling on 98 students of informatics education in Surakarta City. The data were analyzed with the prerequisites for normality and homogeneity of the data before the Wilcoxon Signed Rank Test and Mann Whitney U test was carried out to determine the effectiveness of the model. The results of the increase in the gain score obtained from the experiment are in the aspect of interpretation of 93.18%, inference 76.74%, explanation 96.33%, analysis 97, 87%, evaluation 63.01%, and self-regulation 98.13%. Based on the experiments conducted, it is proven that the adaptive open learning approach has a very significant impact on improving students' critical thinking aspects so that it can be concluded that the model is effective in improving students' critical thinking skills.

show abstract

“…This approach takes into account the various learning styles that were undertaken by learners throughout the semester [111]. Similar approaches were also undertaken to identify learning styles defined by the VARK model [115] and Kolb's learning styles [116]. Consequently, they also do not uncover undefined learning styles that were induced due to the paradigm shift with the introduction of VLEs.…”

Section: Existing Studies Identifying Various Learning Behaviorsmentioning

confidence: 99%

Prediction of learning outcomes via clickstream data using machine learning

Ng¹

View full text Add to dashboard Cite

I have reviewed the content and presentation style of this thesis and declare it is free of plagiarism and of sufficient grammatical clarity to be examined. To the best of my knowledge, the research and writing are those of the candidate except as acknowledged in the Author Attribution Statement. I confirm that the investigations were conducted in accord with the ethics policies and integrity standards of Nanyang Technological University and that the research data are presented honestly and without prejudice.

show abstract

Predicting learners styles based on fuzzy model

Cited by 11 publications

References 12 publications

Fuzzy Soft Skills Assessment through Active Learning Sessions

Fuzzy Soft Skills Assessment through Active Learning Sessions

Improving Students' Critical Thinking Ability with Enhanced-Open Learning Approach Using Adaptive Hypermedia

Prediction of learning outcomes via clickstream data using machine learning

Contact Info

Product

Resources

About