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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
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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
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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