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Yusuf, Abdullahi; Noor, Norah Md – Journal of Computer Assisted Learning, 2023
Background: Several attitude scales have been developed to measure students' attitudes toward computer programming, including the prominent one developed by Cetin and Ozden. The development of these scales stemmed from the elusive nature of attitude and the lack of specific constructs to measure attitude. These instruments measure students'…
Descriptors: Programming, Computer Science Education, Attitude Measures, Student Attitudes
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Hoi, Vo Ngoc; Le Hang, Ho – Journal of Computer Assisted Learning, 2021
Enhancing student engagement plays a critical role in reducing student drop-out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student…
Descriptors: Learner Engagement, Electronic Learning, Structural Equation Models, Factor Analysis
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Wang, Xinghua; Wang, Zhuo; Wang, Qiyun; Chen, Wenli; Pi, Zhongling – Journal of Computer Assisted Learning, 2021
Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning. Prior studies on its measurement mostly focus on educators and relied on factor analyses. However, there is a lack of valid and convenient tools to measure university students' digital competence. This study aimed to develop a digital…
Descriptors: Electronic Learning, Technological Literacy, College Students, Measures (Individuals)
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Shao, Kaiqi; Kutuk, Gulsah; Fryer, Luke K.; Nicholson, Laura J.; Guo, Jidong – Journal of Computer Assisted Learning, 2023
Background: Considerable evidence suggests that students' achievement emotions are important contributors to their learning and success online. It is, therefore, essential to understand and support students' emotional experiences to enhance online education, especially under the COVID-19 context. However, to date, very few studies have…
Descriptors: Student Attitudes, Undergraduate Students, English (Second Language), Second Language Learning
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Sobocan, M.; Klemenc-Ketis, Z. – Journal of Computer Assisted Learning, 2017
An increasing number of virtual patients (VPs) are being used in the classroom, which raises questions about how to implement VPs to improve students' satisfaction and enhance their learning. This study developed and validated a scale that measures acceptability and attitudes of medical students towards the use of the VP education tool in the…
Descriptors: Medical Students, Virtual Classrooms, Patients, Student Attitudes
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Waheed, M.; Kaur, K.; Kumar, S. – Journal of Computer Assisted Learning, 2016
Quality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework--this study presents the indicators of perceived…
Descriptors: Electronic Learning, Student Satisfaction, Outcomes of Education, Undergraduate Students
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Kang, M.; Im, T. – Journal of Computer Assisted Learning, 2013
Interaction in the online learning environment has been regarded as one of the most critical elements that affect learning outcomes. This study examined what factors in learner-instructor interaction can predict the learner's outcomes in the online learning environment. Learners in K Online University participated by answering the survey, and data…
Descriptors: Teacher Student Relationship, Electronic Learning, Foreign Countries, Student Surveys
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van den Beemt, A.; Akkerman, S.; Simons, P. R. J. – Journal of Computer Assisted Learning, 2011
The intensive use of interactive media has led to assertions about the effect of these media on youth. Rather than following the assumption of a distinct Net generation, this study investigates diversity in interactive media use among youth. Results from a pilot study show that contemporary youth can be divided into clusters based on the use of…
Descriptors: Foreign Countries, Opinions, Factor Analysis, Internet
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Koh, J. H. L.; Chai, C. S.; Tsai, C. C. – Journal of Computer Assisted Learning, 2010
This paper examined the profile of Singaporean pre-service teachers in terms of their technological pedagogical content knowledge (TPACK). A total of 1185 pre-service teachers were studied with a TPACK survey. An exploratory factor analysis found five distinctive constructs: technological knowledge, content knowledge, knowledge of pedagogy,…
Descriptors: Foreign Countries, Pedagogical Content Knowledge, Factor Analysis, Construct Validity