{"title":"学生对电子学习的接受程度:来自高等院校的经验证据","authors":"Imran Mehboob Shaikh, Geoffrey Harvey Tanakinjal, Hanudin Amin, Kamaruzaman Noordin, Junaid Shaikh","doi":"10.1108/oth-08-2022-0041","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The purpose of this paper is to investigate the factors that influence business students’ adoption of e-learning systems by merging innovation diffusion theory (IDT) and the teaching for professional competence model (TPCM).</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>Snowball sampling was used to conduct the survey. In addition, 217 responses were obtained from students at private educational institutions. Similarly, literature on the determinants of e-learning adoption, TPCM, and IDT were reviewed to contribute to the factors that are instrumental in determining e-learning systems adoption.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The findings of the study show that e-learning systems adoption is influenced by factors such as online collaborative learning (OCL) and technology self-efficacy. Above all, the OCL variable was found to be influential in determining students’ adoption of e-learning systems platforms. On the contrary, perceived attributes such as perceived compatibility and perceived relative advantage were found not to be significant determinants of e-learning systems adoption.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>This study contributed not only to the theoretical extensions but also to practical implications, which would benefit the policymakers of higher education providers in terms of e-learning system adoption in the country.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>IDT and TPCM models are evaluated alongside additional variables, namely, OCL and technology self-efficacy. As a result, this paper will serve as a useful reference guide for academicians, higher education administrators, and future researchers.</p><!--/ Abstract__block -->","PeriodicalId":47013,"journal":{"name":"On the Horizon","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Students’ e-learning acceptance: empirical evidence from higher learning institutions\",\"authors\":\"Imran Mehboob Shaikh, Geoffrey Harvey Tanakinjal, Hanudin Amin, Kamaruzaman Noordin, Junaid Shaikh\",\"doi\":\"10.1108/oth-08-2022-0041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>The purpose of this paper is to investigate the factors that influence business students’ adoption of e-learning systems by merging innovation diffusion theory (IDT) and the teaching for professional competence model (TPCM).</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>Snowball sampling was used to conduct the survey. In addition, 217 responses were obtained from students at private educational institutions. Similarly, literature on the determinants of e-learning adoption, TPCM, and IDT were reviewed to contribute to the factors that are instrumental in determining e-learning systems adoption.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>The findings of the study show that e-learning systems adoption is influenced by factors such as online collaborative learning (OCL) and technology self-efficacy. Above all, the OCL variable was found to be influential in determining students’ adoption of e-learning systems platforms. On the contrary, perceived attributes such as perceived compatibility and perceived relative advantage were found not to be significant determinants of e-learning systems adoption.</p><!--/ Abstract__block -->\\n<h3>Research limitations/implications</h3>\\n<p>This study contributed not only to the theoretical extensions but also to practical implications, which would benefit the policymakers of higher education providers in terms of e-learning system adoption in the country.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>IDT and TPCM models are evaluated alongside additional variables, namely, OCL and technology self-efficacy. As a result, this paper will serve as a useful reference guide for academicians, higher education administrators, and future researchers.</p><!--/ Abstract__block -->\",\"PeriodicalId\":47013,\"journal\":{\"name\":\"On the Horizon\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"On the Horizon\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/oth-08-2022-0041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"On the Horizon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/oth-08-2022-0041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Students’ e-learning acceptance: empirical evidence from higher learning institutions
Purpose
The purpose of this paper is to investigate the factors that influence business students’ adoption of e-learning systems by merging innovation diffusion theory (IDT) and the teaching for professional competence model (TPCM).
Design/methodology/approach
Snowball sampling was used to conduct the survey. In addition, 217 responses were obtained from students at private educational institutions. Similarly, literature on the determinants of e-learning adoption, TPCM, and IDT were reviewed to contribute to the factors that are instrumental in determining e-learning systems adoption.
Findings
The findings of the study show that e-learning systems adoption is influenced by factors such as online collaborative learning (OCL) and technology self-efficacy. Above all, the OCL variable was found to be influential in determining students’ adoption of e-learning systems platforms. On the contrary, perceived attributes such as perceived compatibility and perceived relative advantage were found not to be significant determinants of e-learning systems adoption.
Research limitations/implications
This study contributed not only to the theoretical extensions but also to practical implications, which would benefit the policymakers of higher education providers in terms of e-learning system adoption in the country.
Originality/value
IDT and TPCM models are evaluated alongside additional variables, namely, OCL and technology self-efficacy. As a result, this paper will serve as a useful reference guide for academicians, higher education administrators, and future researchers.
期刊介绍:
On the Horizon provides an insight into how the changing face of technology is making it possible for educational institutions to form new relationships across geographic and cultural boundaries.