基于结果的教育系统下学生学习成果预测模型的早期评估

IF 0.8 Q3 EDUCATION & EDUCATIONAL RESEARCH Eurasian Journal of Educational Research Pub Date : 2021-04-20 DOI:10.14689/EJER.2021.94.14

H. Ali

{"title":"基于结果的教育系统下学生学习成果预测模型的早期评估","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":"{\"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}","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

摘要

文章历史:目的:寻找学术发展的方向至关重要。对于学习的评价，评价在高等院校教育中具有重要的发展意义。本文提出了一个利用贝叶斯统计推理模型来评估与工业相关的学生学习成果的智能实时预测模型。研究方法:以某工科大学670名学生为研究对象，采用传统的评价方法对所提出的基于贝叶斯的推理模型进行评价。然后根据预测精度和统计kappa统计量对模型进行评价。收稿日期:2020年7月23日收稿日期:2021年2月12日收稿日期:2021年3月31日DOI: 10.14689/ejer.2021.94.14

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Early Assessment of Student’s Learning Outcomes using Prediction Model under Outcome-Based Education System

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

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Eurasian Journal of Educational Research EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

2.00

自引率

11.10%

发文量

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.