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Li, Ling; Xiao, Jun – Education and Information Technologies, 2022
Existing research studying MOOC learner diversity has mainly taken unidimensional approaches, which have led to partial or inconsistent findings. This paper addresses this issue by proposing a multi-dimensional model that helps to identify and build the personas of key learner subgroups in any given MOOC course. By linking learners' behavioral…
Descriptors: Profiles, Online Courses, Student Characteristics, Student Behavior
Anass Bayaga – Education and Information Technologies, 2025
This study examines the influence of AI-powered and emerging technologies on pedagogical practices in higher education, focusing on their role on behavioural intention (BI) and actual usage among educators and students. The research hypothesises that the relationship between each Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Educational Innovation
Wu, Jiazhou; Fan, Min; Sheng, Liyan; Sun, Guoyu – Education and Information Technologies, 2023
Children with autism spectrum disorder (ASD) require long-term interventions with professional tutors. In this paper, we explore the design space of virtual tutors in digital learning systems that may facilitate effective ASD interventions. We conducted a classroom observational study to examine how children with ASD learn and interact with…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Educational Technology, Interaction
E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
Zhu, Yue; Geng, Gretchen; Disney, Leigh; Pan, Zihao – Education and Information Technologies, 2023
Many researchers investigated university students' behavioural intention to undertake online courses during COVID. However, few examined how students' intention might change throughout COVID by incorporating their learning capability and approaches. The universities in China went through a process from lockdown in February to reopening in…
Descriptors: Student Attitudes, Pandemics, COVID-19, Undergraduate Students
Ching-Huei Chen; Ching-Ling Chang – Education and Information Technologies, 2024
This study aimed to investigate the effectiveness of using AI-assisted game-based learning on science learning outcomes, intrinsic motivation, cognitive load, and learning behavior. A total of 202 seventh graders were recruited and randomly assigned to the following three groups: (1) Game only (N = 70), (2) GameGPT (N = 63), and (3)…
Descriptors: Artificial Intelligence, Game Based Learning, Technology Uses in Education, Science Instruction
Prediction of Students' Learning Outcomes by Various Variables in Gamified Online Accounting Courses
Sercemeli, Murat; Baydas Onlu, Ozlem – Education and Information Technologies, 2023
The study aims to examine student emotions and behavior in a Gamified Learning Environment (GLE) in detail. In the study, in order to reveal the behavior (dynamics) and feelings (emotions) that emerge within the framework of the mechanics applied in the GLE process, it is within the scope of the main objectives of the study to determine how…
Descriptors: Accounting, Teaching Methods, Game Based Learning, Outcomes of Education
Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Alasmari, Talal; Zhang, Ke – Education and Information Technologies, 2019
This article reports a two-phase study with (1) an extended framework on mobile learning technology acceptance, and (2) a mixed-method research investigating college students on the use and embracement of mobile learning technology acceptance in Saudi Arabia. The research extended the Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Foreign Countries, Handheld Devices, Telecommunications, Teaching Methods