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Full-Text Articles in Education
Assessment And Learning In Knowledge Spaces (Aleks) Adaptive System Impact On Students' Perception And Self-Regulated Learning Skills, Honda Harati, Laura Sujo-Montes, Chih-Hsiung Tu, Shadow J.W. Armfield, Cherng-Jyh Yen
Assessment And Learning In Knowledge Spaces (Aleks) Adaptive System Impact On Students' Perception And Self-Regulated Learning Skills, Honda Harati, Laura Sujo-Montes, Chih-Hsiung Tu, Shadow J.W. Armfield, Cherng-Jyh Yen
Educational Leadership & Workforce Development Faculty Publications
Adaptive learning is an educational method that uses computer algorithms and artificial intelligence (AI) to customize learning materials and activities based on each user's model. Adaptive learning has been used for more than 20 years. However, it is still unique, and no other system could bring more or even similar capabilities than the ones adaptive technology offers, including the application of AI, psychology, psychometrics, machine learning, and providing a personalized learning environment. However, there are not many studies on its practicality, usefulness, improving students' learning skills, students' perception, etc., due to the limited number of institutes investing in this new …
Online Accelerated Learning Experiences And Self-Regulated Learning Skills Amoung Undergraduate Students, Cherng-Jyh Yen, Emrah Emre Ozkeskin, Moussa Tankari, Chih-Hsiung Tu, Hoda Harati, Laura E. Sujo-Montes
Online Accelerated Learning Experiences And Self-Regulated Learning Skills Amoung Undergraduate Students, Cherng-Jyh Yen, Emrah Emre Ozkeskin, Moussa Tankari, Chih-Hsiung Tu, Hoda Harati, Laura E. Sujo-Montes
Educational Leadership & Workforce Development Faculty Publications
Many institutions have adopted an online accelerated learning model in which intensive online instructions are offered during the course of a normal semester to help students complete classes. Current research has focused on comparing different instructional lengths. Mixed findings have been reported. Accelerated instructions are not necessarily superior or inferior to traditional 16-week instructions. Research should focus on what is crucial and how to prepare students to succeed in accelerated online courses. This study examines whether self-regulated learning (SRL) skills may serve as predictors of positive accelerated learning experiences. It concludes that five SRL skills can predict success in online …
Using Personal Learning Environment (Ple) Management To Support Digital Lifelong Learning, Cherng-Jyh Yen, Chih-Hsiung Tu, Laura E. Sujo-Montes, Hoda Harati, Claudia R. Rodas
Using Personal Learning Environment (Ple) Management To Support Digital Lifelong Learning, Cherng-Jyh Yen, Chih-Hsiung Tu, Laura E. Sujo-Montes, Hoda Harati, Claudia R. Rodas
Educational Leadership & Workforce Development Faculty Publications
Personal Learning Environment is a promising pedagogical approach to integrate formal and informal learning in social media and support student self-regulated learning. The use of PLEs to support lifelong learning can be expanded to the formal, non-formal, or informal learning environments. This study empirically examined how PLE management predicted the use of PLE to support three types of lifelong learning (i.e., formal, non-formal, or informal learning). This study concluded that PLE management was predictive of each type of learning respectively. PLE is not only a technical platform but also a new digital learning literacy, conceptual space, pedagogical process, and social …
A Predictor For Ple Management: Impacts Of Self-Regulated Online Learning On Student's Learning Skills, Cherng-Jyh Yen, Chih-Hsiung Tu, Laura Sujo-Montes, Karen Sealander
A Predictor For Ple Management: Impacts Of Self-Regulated Online Learning On Student's Learning Skills, Cherng-Jyh Yen, Chih-Hsiung Tu, Laura Sujo-Montes, Karen Sealander
Educational Leadership & Workforce Development Faculty Publications
Web 2.0 integration requires a high level of learner-centered skills to create a personal learning environment (PLE). The pedagogical capability of Web 2.0 could support and promote self-regulated learning (SRL) by enabling the constructions of PLEs. This study investigated how will each of the six aspects of self-regulated online learning (i.e., environment structuring, goal setting, time management, task strategies, help seeking, & self-evaluation) respectively predict the level of initiative, the sense of control, and the level of self-reflection in personal learning environment (PLE) management. The study concluded that all six aspects of SRL could predict three types of PLE management …