评估高等教育移动学习框架的可持续性:一种机器学习方法

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
D. Dolawattha, H. Premadasa, P. Jayaweera
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引用次数: 1

摘要

目的本研究的目的是评估所提出的高等教育移动学习框架的可持续性。大多数可持续性评价研究使用定量和定性方法以及统计方法。有时,在以前的研究中,机器学习模型被传统地使用。设计/方法论/方法在所提出的方法中,作者使用一种新的基于机器学习的集成方法和严重性指数来评估所提出的移动学习系统的可持续性。在这个严重性指数中,考虑因果关系,以识别可持续性因素之间的隐藏相关性。此外,所提出的新的可持续性评估算法有助于迭代评估和提高可持续性,以获得最佳的可持续移动学习系统。大学社区共有150名学生和150名教师参加了可持续性问卷调查。问卷由20个问题组成,代表了经济、社会、政治、技术和教学等五个可持续性维度的20个可持续因素。结果表明,所提出的系统在经济和教学方面都实现了可持续性。然而,研究结果进一步表明,拟议的制度在技术、社会和政治可持续性方面需要改进。独创性/价值该研究侧重于评估所提出的移动学习框架的可持续性的新型机器学习方法和技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating sustainability of mobile learning framework for higher education: a machine learning approach
PurposeThe purpose of this study is to evaluate the sustainability of the proposed mobile learning framework for higher education. Most sustainability evaluation studies use quantitative and qualitative methods with statistical approaches. Sometimes, in previous studies, machine learning models were utilized conventionally.Design/methodology/approachIn the proposed method, the authors use a novel machine learning-based ensemble approach with severity indexes to evaluate the sustainability of the proposed mobile learning system. In this severity indexes, consider the cause-and-effect relationship to identify the hidden correlation among sustainability factors. Also, the proposed novel sustainability evaluation algorithm helps to evaluate and improve sustainability iteratively to have an optimal sustainable mobile learning system. In total, 150 learners and 150 teachers in the university community engaged in the study by taking the sustainability questionnaire. The questionnaire consists of 20 questions that represent 20 sustainable factors in five sustainability dimensions, i.e. economic, social, political, technological and pedagogical.FindingsThe results reveal that the proposed system has achieved its economic and pedagogical sustainability. However, the results further reveal that the proposed system needs to be improved on technological, social and political sustainability.Originality/valueThe study focused novel machine learning approach and technique for evaluating sustainability of the proposed mobile learning framework.
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来源期刊
International Journal of Information and Learning Technology
International Journal of Information and Learning Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.10
自引率
3.30%
发文量
33
期刊介绍: International Journal of Information and Learning Technology (IJILT) provides a forum for the sharing of the latest theories, applications, and services related to planning, developing, managing, using, and evaluating information technologies in administrative, academic, and library computing, as well as other educational technologies. Submissions can include research: -Illustrating and critiquing educational technologies -New uses of technology in education -Issue-or results-focused case studies detailing examples of technology applications in higher education -In-depth analyses of the latest theories, applications and services in the field The journal provides wide-ranging and independent coverage of the management, use and integration of information resources and learning technologies.
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