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Download full textZixi Li; Chaoran Wang; Curtis J. Bonk – Online Learning, 2024
As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Electronic Learning
Murat Turk; Sinem Toraman Turk; Ali Ceyhun Muftuoglu; Ozlem Karakaya; Kadir Karakaya – Online Learning, 2024
Engagement strategies play a crucial role in ensuring engaged and high-quality online learning experiences. In this mixed methods study, we examined online students' expectations and explored their experiences regarding online strategies of peer, instructor, self-directed, and multimodal engagement, using a survey and qualitative interviews. Our…
Descriptors: Online Courses, Learner Engagement, Student Attitudes, Expectation
Bilal Khallel Younis – Online Learning, 2024
This study aims to investigate students' self-regulation skills, confidence to learn online, and perception of satisfaction and usefulness of online classes in three learning environments that integrates ChatGPT. In this study, a quasi-experiential design was used to compare three online learning environments that integrate ChatGPT (independent,…
Descriptors: Self Management, Self Esteem, Electronic Learning, Student Attitudes
