{"title":"Early Assessment of Student’s Learning Outcomes using Prediction Model under Outcome-Based Education System","authors":"H. Ali","doi":"10.14689/EJER.2021.94.14","DOIUrl":null,"url":null,"abstract":"Article History: Purpose: Finding directions to advance in academia is essential. For the appraisal of learning, assessment is considerable and develops significance in institutional higher education. This paper presents an intelligent real-time prediction model to assess student learning outcomes relevance to industry using the Bayesian statistical inference model. Research Methods: A dataset of 670 students collected from an engineering university evaluated the proposed Bayesian-based inference model with the conventional assessment method. The proposed model was then evaluated based upon the prediction accuracy and statistical kappa statistic. Received: 23 Jul. 2020 Received in revised form: 12 Feb. 2021 Accepted: 31 Mar. 2021 DOI: 10.14689/ejer.2021.94.14","PeriodicalId":46491,"journal":{"name":"Eurasian Journal of Educational Research","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasian Journal of Educational Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14689/EJER.2021.94.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 1
Abstract
Article History: Purpose: Finding directions to advance in academia is essential. For the appraisal of learning, assessment is considerable and develops significance in institutional higher education. This paper presents an intelligent real-time prediction model to assess student learning outcomes relevance to industry using the Bayesian statistical inference model. Research Methods: A dataset of 670 students collected from an engineering university evaluated the proposed Bayesian-based inference model with the conventional assessment method. The proposed model was then evaluated based upon the prediction accuracy and statistical kappa statistic. Received: 23 Jul. 2020 Received in revised form: 12 Feb. 2021 Accepted: 31 Mar. 2021 DOI: 10.14689/ejer.2021.94.14
期刊介绍：
Eurasian Journal of Educational Research (EJER) is a peer-reviewed, an international and interdiscilinary journal publishing original research articles and significant contributions on education and educational sciences . The journal is a valuable resource for teachers, counselors, supervisors, educational administrators, school principals, educational policy makers, curriculum planners, and educational researchers as they consider the structure of tomorrow''s educational system. EJER publishes research employing a variety of qualitative, quantitative and mixed methods research and approaches in all areas in the field of education and educational sciences. The goal of the journal is to increase understanding of learning and teaching in eraly childhood, primary, secondary, vocational and higher education in order to to contribute to the improvement of educational processes and outcomes.
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