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Showing 1 to 15 of 42 results Save | Export
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Zhang, Min; Li, Sihong; Zhang, Yan – Australasian Journal of Educational Technology, 2023
Retaining learners has been an important issue for massive open online course (MOOC) platforms. Given the different, and even contradictory, conclusions in studies on the continuance intention of MOOC learners, this study selected 53 highly correlated empirical studies published from 2008 to 2022 and constructed a research model based on visual…
Descriptors: Meta Analysis, Prior Learning, Student Participation, MOOCs
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Sasha Nikolic; Isabelle Wentworth; Lynn Sheridan; Simon Moss; Elisabeth Duursma; Rachel A. Jones; Montserrat Ros; Rebekkah Middleton – Australasian Journal of Educational Technology, 2024
The rapid advancement of artificial intelligence (AI) has outpaced existing research and regulatory frameworks in higher education, leading to varied institutional responses. Although some educators and institutions have embraced AI and generative AI (GenAI), other individuals remain cautious. This systematic literature review explored teaching…
Descriptors: College Faculty, Teacher Attitudes, Intention, Teacher Behavior
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Md. Shahinur Rahman; Md. Mahiuddin Sabbir; Jing Zhang; Iqbal Hossain Moral; Gazi Md. Shakhawat Hossain – Australasian Journal of Educational Technology, 2023
Little knowledge is available on students' attitudes and behavioural intentions towards using ChatGPT, a breakthrough innovation in recent times. This study bridges this gap by adding two relevant less-explored constructs (i.e., perceived enjoyment and perceived informativeness) to the technology acceptance model and illustrating the moderating…
Descriptors: Student Behavior, Intention, Student Attitudes, Artificial Intelligence
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Eddie W.L. Cheng; Kevin P.C. Cheng – Australasian Journal of Educational Technology, 2023
Among other technologies, wikis, as a Web 2.0 technology, have been found to support online collaborative behaviour of students in group work. Despite the intention-behaviour relationship expected in many relevant theories, studies have found that the relationship between students' intention to use wikis and their behaviour in using wikis was not…
Descriptors: Foreign Countries, College Students, Web Sites, Editing
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Bervell, Brandford; Kumar, Jeya Amantha; Arkorful, Valentina; Agyapong, Emmanuel Manu; Osman, Sharifah – Australasian Journal of Educational Technology, 2022
Online learning environments have become a contemporary component of global tertiary education due to their affordances. These environments are hinged on internet-based learning management systems and one such tool is Google Classroom. However, empirical studies have indicated that gaps exist in determining how Google Classroom influences…
Descriptors: Virtual Classrooms, Educational Technology, Electronic Learning, Intention
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Gibson, Matthew J.; Luong, Justin; Cho, Hanbit; Moh, Bryan; Zanin, Simone; Djatmiko, Mentari; Aandahl, R. Zach – Australasian Journal of Educational Technology, 2022
Student evaluation surveys provide educational institutions with important feedback regarding the student experience of teaching and courses; however, qualitative comments can contain offensive, insulting or threatening content. Large educational institutions generate thousands of comments per academic term; therefore, manual screening processes…
Descriptors: Foreign Countries, Student Evaluation of Teacher Performance, College Students, Feedback (Response)
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Alowayr, Ali; Al-Azawei, Ahmed – Australasian Journal of Educational Technology, 2021
This research extends the unified theory of acceptance and use of technology (UTAUT) model based on the expectation-confirmation and self-determination theories. It is aimed at exploring students' perspectives regarding the acceptance of mobile learning (m-learning) in higher education. Although UTAUT receives considerable attention in technology…
Descriptors: Electronic Learning, Student Attitudes, Undergraduate Students, Expectation
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Kim, Nam Hui; So, Hyo-Jeong; Joo, Young Ju – Australasian Journal of Educational Technology, 2021
For effective flipped learning, beyond simply switching the sequence of lectures and homework, it is important to understand and implement the fundamental design principles of flipped learning. A new notion is proposed called "flipped learning design fidelity," defined as the degree to which a class is faithfully designed to be close to…
Descriptors: Flipped Classroom, Instructional Design, Fidelity, Independent Study
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Hussein, Mahmood H.; Ow, Siew Hock; Al-Azawei, Ahmed; Ibrahim, Ishaq – Australasian Journal of Educational Technology, 2022
This study aims at proposing an integrated model based on the technology acceptance model, the information system success model, cognitive load theory, and personal characteristics to predict students' continued intention to reuse Google Classroom in the context of a developing country. To achieve this, we conducted quantitative research,…
Descriptors: Educational Technology, Learning Management Systems, Intention, Student Characteristics
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Feifei Han – Australasian Journal of Educational Technology, 2024
This study examined Chinese undergraduate medical students' acceptance and adoption of intelligent tutoring systems (ITSs) using the general extended technology acceptance model for e-learning via a Likert-scale questionnaire. Specifically, it examined the relations between the five antecedents and the four core components in the model (i.e.,…
Descriptors: Foreign Countries, Influences, Undergraduate Students, Undergraduate Study
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Ho, Nguyen Thi Thao; Pham, Hiep-Hung; Sivapalan, Subarna; Dinh, Viet-Hung – Australasian Journal of Educational Technology, 2022
This research is unique to a Vietnamese higher education institution that adopted blended learning using Coursera MOOCs. Employing the service quality model, the objective was to investigate factors affecting the continuance intention and recommendation to others towards blended learning using Coursera MOOCs. This study was conducted an online…
Descriptors: Foreign Countries, Blended Learning, MOOCs, Higher Education
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Cilsalar Sagnak, Hatice; Baran, Evrim – Australasian Journal of Educational Technology, 2021
This qualitative case study aimed to examine faculty members' perceived behaviour regarding the use of technology in their classrooms. The behavior was examined within the framework of the decomposed theory of planned behavior. The theory states that technology integration behaviour is directly related to intention and perceived behaviour control…
Descriptors: College Faculty, Faculty Development, Teacher Attitudes, Teacher Behavior
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Lin, Jian-Wei; Lai, Yung-Cheng – Australasian Journal of Educational Technology, 2019
Computer-based assessment (CBA) is an important area of e-learning research. Most studies of CBA technology add new constructs to existing user acceptance models and rarely consider the moderating effects. However, the self-regulation (SR) levels (i.e., high or low) in an e-learning environment substantially affect individual learning behaviour…
Descriptors: Computer Assisted Testing, Adoption (Ideas), Electronic Learning, Self Management
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To, Wai-Ming; Lai, Linda S. L.; Leung, Vincent W. S. – Australasian Journal of Educational Technology, 2019
Business schools strive to improve students' analytical skills by incorporating advanced business application software courses into their curricula. This study examined how business school students perceived the ease of using the software and the usefulness of using the software in learning. The study also explored whether and how students'…
Descriptors: Foreign Countries, Business Schools, Intention, Computer Software
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Lin, Jian-Wei; Lin, Hao-Chiang Koong – Australasian Journal of Educational Technology, 2019
Although many e-learning studies have applied the unified theory of acceptance and usage of technology (UTAUT) to investigate user acceptance, their findings have been inconsistent. One of reasons is that the user acceptance model of an e-learning system can be determined by the new information technologies (or mechanisms) the e-learning system…
Descriptors: Cooperative Learning, Computer Uses in Education, Adoption (Ideas), Social Networks
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