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Jelena N. Larsen; Kine M. D. Maxwell; Mohammad Khalil – Journal of Learning Analytics, 2025
Effective learning design (LD) grounded in sound pedagogy is a critical driver of student success. Therefore, it is important to explore how LD of online learning environments influences student ability to manage their own learning. This understanding can inform the development of online programs that prioritize student-driven learning. Research…
Descriptors: Literature Reviews, Learning Analytics, Instructional Design, Student Motivation
Baars, Martine; Viberg, Olga – International Journal of Mobile and Blended Learning, 2022
This paper discusses the possibilities of using and designing mobile technology for learning purposes coupled with learning analytics to support self-regulated learning (SRL). Being able to self-regulate one's own learning is important for academic success but is also challenging. Research has shown that without instructional support, students are…
Descriptors: Electronic Learning, Independent Study, Learning Analytics, Metacognition
Zixi 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
Moving Hands-On Mechanical Engineering Experiences Online: Course Redesigns and Student Perspectives
Johnson, Jaclyn E.; Barr, Nancy B. – Online Learning, 2021
Hands-on lab experiences are essential for enabling students to be successful engineers, especially those who identify as kinesthetic learners. This case study describes how a Mechanical Engineering Practice course sequence was redesigned during the COVID-19 emergency transition to remote learning and examines how students responded to these…
Descriptors: Experiential Learning, Engineering Education, Student Experience, Electronic Learning
Kayleigh Danielle Romero – ProQuest LLC, 2023
The purpose of this quantitative study was to determine any correlations between an increase in knowledge from activities which utilize self-paced learning, inquiry-guided learning, and collaborative learning pedagogical strategies and students' intentions to pursue science, technology, engineering, and mathematics (STEM) and computer science…
Descriptors: Pacing, Independent Study, Inquiry, Active Learning
Viberg, Olga; Kukulska-Hulme, Agnes; Peeters, Ward – International Journal of Mobile and Blended Learning, 2023
Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…
Descriptors: Metacognition, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Shannon L. Myers – ProQuest LLC, 2021
Professional learning continues to be one of the most widely used methods for raising student achievement and teacher development, yet school districts continue to use antiquated models that often dismiss the core features needed to be effective (Desimone, 2009). These core features include being content focused, active learning opportunities,…
Descriptors: Individualized Instruction, Communities of Practice, Faculty Development, Teacher Attitudes
Sahin, Muhittin; Keskin, Sinan; Yurdugül, Halil – International Association for Development of the Information Society, 2018
An important advantage of e-learning environments is the numerical observation of the learning behaviors of students. The use of e-learning environments by students creates a learner data. From these learner data, the navigation patterns obtained by using educational data mining have a very important place in learning and teaching design. Studies…
Descriptors: Electronic Learning, Learning Readiness, Navigation (Information Systems), Interaction
Yen, M.-H.; Chen, S.; Wang, C.-Y.; Chen, H.-L.; Hsu, Y.-S.; Liu, T.-C. – Journal of Computer Assisted Learning, 2018
This article develops a framework for self-regulated digital learning, which supports for self-regulated learning (SRL) in e-learning systems. The framework emphasizes 8 features: learning plan, records/e-portfolio and sharing, evaluation, human feedback, machine feedback, visualization of goals/procedures/concepts, scaffolding, and agents. Each…
Descriptors: Independent Study, Electronic Learning, Models, Online Courses
van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
Janakiraman, Shamila; Watson, Sunnie Lee; Watson, William R. – Journal of Ethnographic & Qualitative Research, 2018
Massive Open Online Courses (MOOCs) are offered on diverse topics in an attempt to reach global audiences. MOOCs have helped address limitations to educational access, yet the dropout rates are notoriously high. Many argue that high attrition in MOOCs is because the instructional design often does not align with the needs of adult learners. Adult…
Descriptors: Adult Learning, Adult Students, Large Group Instruction, Online Courses
Spencer, John – Educational Leadership, 2017
Genius Hour is a time built into the school day or week to enable students to actively create their learning rather than passively consume it. During the time set aside for Genius Hour, students choose what they will learn about, the strategies they will use to learn it, the pace of their work, the materials and resources they will use, and the…
Descriptors: Instructional Design, Learner Controlled Instruction, Learning Strategies, Pacing
Mose, Patrick O. – ProQuest LLC, 2016
Learner autonomy is a fundamental phenomenon in the teaching and learning of languages. The growth of digital technology and the Internet appears to have changed the manifestation of learner autonomy, particularly in Less Commonly Taught Languages (LCTLs). The purpose of this phenomenological research study was to examine the experiences of LCTL…
Descriptors: Independent Study, African Languages, Second Language Learning, Second Language Instruction
Ramírez Espinosa, Alexánder – HOW, 2016
Promoting learner autonomy is relevant in the field of applied linguistics due to the multiple benefits it brings to the process of learning a new language. However, despite the vast array of research on how to foster autonomy in the language classroom, it is difficult to find step-by-step processes to design syllabi and curricula focused on the…
Descriptors: Course Descriptions, Curriculum Design, Guides, Instructional Design
Wang, Y.-H. – Journal of Computer Assisted Learning, 2016
In this study, the researcher aimed to develop a mobile-assisted learning system and to investigate whether it could promote teenage learners' classical Chinese learning through the flipped classroom approach. The researcher first proposed the structure of the Cross-device Mobile-Assisted Classical Chinese (CMACC) system according to the pilot…
Descriptors: Foreign Countries, Chinese, Computer Assisted Instruction, Computer Uses in Education

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