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Download full textBayne, Gail Alleyne; Inan, Fethi A. – International Review of Research in Open and Distributed Learning, 2022
The purpose of this study is to develop and examine the psychometric properties of the Online Course Overload Indicator (OCOI) and the Student Mental Fatigue Survey (SMFS). The OCOI was designed to measure students' perceptions of cognitive overload in online courses. The SMFS was used to assess students' perceptions of mental fatigue while taking…
Descriptors: Online Courses, Cognitive Processes, Difficulty Level, Fatigue (Biology)
Bopelo Boitshwarelo; Maneka Jayasinghe – International Review of Research in Open and Distributed Learning, 2024
Learning statistics can be challenging for many students, due to their inability to engage in statistical reasoning and application of techniques. This challenge becomes compounded in online learning contexts where students are spatially and temporally separated from the teacher. This paper describes and explains a case of theory-driven…
Descriptors: Foreign Countries, Alignment (Education), Business Education, Electronic Learning
Jingfang Xia; Yao Ge; Zijun Shen; Mudasir Rahman Najar – International Review of Research in Open and Distributed Learning, 2024
Learners might have several challenges while attempting to learn a second/foreign language. Learners of Chinese face linguistic, psychological, and educational challenges. The integration of technology, especially artificial intelligence (AI), into teaching foreign languages is a blessing for teachers and learners. This study delved into the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Linguistics, Psychological Patterns
Dan Wang – International Review of Research in Open and Distributed Learning, 2024
This study examines the effects of corrective feedback (CF) on language learners' writing anxiety, writing complexity, fluency, and accuracy, and compares the effectiveness of feedback from human teachers with an AI-driven application called Poe. The study included three intact classes, each with 25 language learners. Using a quasi-experimental…
Descriptors: Artificial Intelligence, Feedback (Response), Anxiety, Foreign Countries
Cheng, Yu-Ping; Cheng, Shu-Chen; Huang, Yueh-Min – International Review of Research in Open and Distributed Learning, 2022
Online learning has been widely discussed in education research, and open educational resources have become an increasingly popular way to help learners acquire knowledge. However, these resources contain massive amounts of information, making it difficult for learners to identify Web articles that refer to computer science knowledge. This study…
Descriptors: Internet, Online Searching, Information Retrieval, Artificial Intelligence
Idrizi, Ermira; Filiposka, Sonja; Trajkovik, Vladimir – International Review of Research in Open and Distributed Learning, 2021
This article examines the impact of personality traits, learning styles, gender, and online course factors (course difficulty, group affiliation, provided materials, etc.) in the academic success of students taking online courses and their overall success rate through traditional classes. Students' performance in the online learning environment is…
Descriptors: Success, Online Courses, Educational Technology, Technology Uses in Education
