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Lu, Mingxiao; Cui, Tianyi; Huang, Zhenyu; Zhao, Hong; Li, Tao; Wang, Kai – International Review of Research in Open and Distributed Learning, 2021
Massive open online courses (MOOCs) have attracted much interest from educational researchers and practitioners around the world. There has been an increase in empirical studies about MOOCs in recent years, most of which used questionnaire surveys and quantitative methods to collect and analyze data. This study explored the research topics and…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Qualitative Research
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Al Enezi, Dalal F.; Al Fadley, Anam A.; Al Enezi, Ebrahim G. – International Education Studies, 2022
The research and data aim to (a) examine instructors' evaluation of Microsoft Teams as reflected in their teaching at the Public Authority for Applied Education and Training (PAAET) and (b) identify significant correlation between three determinants of the Technology Acceptance Model: perceived usefulness (PU), perceived ease of use (PEOU), and…
Descriptors: Teacher Attitudes, Computer Mediated Communication, Computer Software, Usability
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Juan, Liu Xin; Tao, Wu Yun; Veloo, Palanisamy K.; Supramaniam, Mahadevan – SAGE Open, 2022
Dishonest academic behavior (DAB) by students in Chinese higher education institutions has become a significant concern. However, the related study of academic dishonesty in mainland China is very limited. This study fills this gap by examining the theory of planned behavior and its three extended versions, validating the effectiveness of…
Descriptors: Prediction, Models, Cheating, Behavior Theories
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Al-Adwan, Ahmad Samed; Nofal, Muhmmad; Akram, Huma; Albelbisi, Nour Awni; Al-Okaily, Manaf – Journal of Information Technology Education: Research, 2022
Aim/Purpose: This study seeks to investigate the factors that influence online students' continued usage intention toward e-learning systems by presenting an extended model that is based on the Delone and McLean (2003) IS success model (D&M ISS model). Background: The use of e-learning systems in this era has become a vital element of…
Descriptors: Sustainability, Adoption (Ideas), Electronic Learning, Independent Study
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Ozkan, Umut Birkan; Cigdem, Harun; Erdogan, Tolga – Turkish Online Journal of Distance Education, 2020
The contribution of e-learning technologies, especially LMS which has become an important component of e-learning, is significantly increasing in higher education. It is critical to understand the factors that affect the behavioral intention of students towards LMS use. The aim of this study is to explore predictors of students' acceptance of…
Descriptors: Predictor Variables, Integrated Learning Systems, Expectation, Social Influences
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Renaud-Dubé, Andréanne; Guay, Frédéric; Talbot, Denis; Taylor, Geneviève; Koestner, Richard – Social Psychology of Education: An International Journal, 2015
This study attempts to test a model in which the relation between implicit theories of intelligence and students' school persistence intentions are mediated by intrinsic, identified, introjected, and external regulations. Six hundred and fifty students from a high school were surveyed. Contrary to expectations, results from ESEM analyses indicated…
Descriptors: Models, Academic Persistence, Academic Achievement, Student Motivation
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Arteaga Sánchez, Rocío; Cortijo, Virginia; Javed, Uzma – E-Learning and Digital Media, 2019
Social network sites in general, and Facebook in particular, allow users with common interests to meet, share ideas, and collaborate, creating new forms of informal learning. In order to understand and eventually take advantage of the many benefits that Facebook can bring to the academic world, we need to study its adoption process. The objective…
Descriptors: Social Media, Social Networks, Informal Education, Educational Benefits
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Damnjanovic, Vesna; Jednak, Sandra; Mijatovic, Ivana – Interactive Learning Environments, 2015
The purpose of this research paper is to identify the factors affecting the effectiveness of Moodle from the students' perspective. The research hypotheses derived from the suggested extended Seddon model have been empirically validated using the responses to a survey on e-learning usage among 255 users. We tested the model across higher education…
Descriptors: Management Systems, Electronic Learning, Student Attitudes, Foreign Countries
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Harpaz-Itay, Yifat; Kaniel, Shlomo – Gifted Education International, 2012
This article integrates three central theories of optimism-pessimism (OP). The combination of the shared components of these theories--outcome expectancies, emotions, and behavioral intention--may produce an integrative academic achievement evaluation. Little has been written regarding the differentiation between general and domain-specific OP, a…
Descriptors: Intervention, Academic Achievement, Intention, Evaluation Methods
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Mackert, Michael; Lazard, Allison; Guadagno, Marie; Hughes Wagner, Jessica – Journal of American College Health, 2014
Objective: Lack of sleep among college students negatively impacts health and academic outcomes. Building on research that implied motion imagery increases brain activity, this project tested visual design strategies to increase viewers' engagement with a health communication campaign promoting napping to improve sleep habits. Participants:…
Descriptors: Health Promotion, Campuses, Sleep, College Students
Yousif, Wael K. – ProQuest LLC, 2010
This causal and correlational study was designed to extend the Technology Acceptance Model (TAM) and to test its applicability to Valencia Community College (VCC) Engineering and Technology students as the target user group when investigating the factors influencing their decision to adopt and to utilize VMware as the target technology. In…
Descriptors: Employment Level, Self Efficacy, Academic Achievement, Intention
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Jo, Booil – Journal of Educational and Behavioral Statistics, 2008
An analytical approach was employed to compare sensitivity of causal effect estimates with different assumptions on treatment noncompliance and non-response behaviors. The core of this approach is to fully clarify bias mechanisms of considered models and to connect these models based on common parameters. Focusing on intention-to-treat analysis,…
Descriptors: Evaluation Methods, Intention, Research Methodology, Causal Models