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Wells, Melissa Beck – Online Submission, 2022
Higher Education students that have identified themselves as experiencing stress and/or anxiety and depression have risen. Also, with many students opting for online or digital learning opportunities, identifying and fulfilling adult learners' needs is critical. Quality instructional design aimed at enhancing their achievement and…
Descriptors: Undergraduate Students, Stress Variables, Anxiety, Depression (Psychology)
Kim Frost – ProQuest LLC, 2024
Student demand for online learning is at an all-time high, making the identification of practical strategies for supporting student success in online learning more vital than ever. Positive emotion has been shown to promote self-regulated learning (SRL) and engagement, both evidenced predictors of student success. However, little is known about…
Descriptors: Play, Online Courses, Student Attitudes, Learner Engagement
Franco, David Carlos; Bidarra, José – Open Praxis, 2022
The potential of electronic books (ebooks) has been discussed widely, due mainly to their role in helping the user transform passive reading into interactive and dynamic learning, while promoting better retention and appropriation of materials. Taking this premise, the present study follows an exploratory and qualitative approach, discussing how…
Descriptors: Instructional Design, Online Courses, Electronic Books, Learning Strategies
Ching-Yi Wang; Cheng-Han Lin – Interactive Learning Environments, 2024
COVID-19 has forced many universities to adopt online teaching. However, the design discipline attaches great importance to on-site operation and face-to-face design discussions, causing teachers to face major challenges in the implementation of distance teaching. The purpose of this study is to investigate the suitability and teaching strategies…
Descriptors: Teaching Methods, Distance Education, Learning Strategies, Questionnaires
Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
Barth, Dylan – Journal of Teaching and Learning with Technology, 2020
This article provides several strategies for using a learning management system to engage online students and to promote the development of self-regulated learning skills in a 4-week accelerated summer course.
Descriptors: Learner Engagement, Electronic Learning, Learning Strategies, Self Management
Daggöl, Gökçe Dislen – Acta Educationis Generalis, 2023
Introduction: Assuming responsibility of learning and showing flexibility in case of changes and problems in learning could make this process more conscious and fruitful. This is significant, particularly at a time when traditional universities are increasingly moving into online education. To address the gaps in previous self-regulated learning…
Descriptors: Metacognition, Learning Strategies, Online Courses, Majors (Students)
Lee, Daeyeoul; Watson, Sunnie Lee; Watson, William R. – Australasian Journal of Educational Technology, 2019
Despite arguments about the importance of self-regulated learning (SRL) in massive open online courses (MOOCs) (Terras & Ramsay, 2015), understanding of the topic is limited. This study offers a systematic review of empirical research on SRL in MOOCs. It revealed that the body of literature on SRL in MOOCs has grown from 2014 to 2016. The…
Descriptors: Learning Strategies, Online Courses, Educational Research, Student Motivation
Cusick, Jennie Morrell – ProQuest LLC, 2023
The purpose of this Executive Position Paper was to research how to design an online, synchronous, asynchronous, or face-to-face training program for higher education instructors to serve the needs of a diverse student population of emergent learners, specifically in the community college sector. The subsequent research resulted in a faculty…
Descriptors: Access to Education, Teaching Methods, Learning Strategies, Learning Motivation
Perveen, Ayesha – Turkish Online Journal of Distance Education, 2018
This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…
Descriptors: Multiple Intelligences, Electronic Learning, Data Collection, Data Analysis
Ferguson, Karen; Aitken, Renee – Online Journal of Distance Learning Administration, 2019
Traditionally, online learning has been limited to written lectures, readings, discussions, and assignments with an occasional video presentation or simulation included due to the limitations of technology (Kirkwood & Price, 2013). While this form of learning has served the online environment well, the process does not address individual…
Descriptors: Individualized Instruction, Individual Needs, Electronic Learning, Retention (Psychology)
Seifert, Tami; Feliks, Orna; Kritz, Miki – Journal of Educators Online, 2020
Recently, colleges have begun to employ online learning courses for multiple participants. Consequently, students need to master online learning skills. To improve this teaching model, this study investigated the considerations and teaching patterns of two lecturers in the same multiparticipant online courses: 102 students in one course and 70…
Descriptors: Online Courses, Large Group Instruction, Small Group Instruction, College Students
Robertson, Patricia R.; Wakeling, Victor – Online Journal of Distance Learning Administration, 2018
Three separate baseline decisions are recommended when designing an undergraduate course prior to considering any course content. The "Three S" course design decisions include determining (1) the "setting" (on-campus, online or hybrid), (2) the learning "style" (passive or active), and (3) the learning…
Descriptors: Undergraduate Study, Course Organization, Delivery Systems, Learning Strategies
Matcha, Wannisa; Gasevic, Dragan; Uzir, Nora'ayu Ahmad; Jovanovic, Jelena; Pardo, Abelardo; Lim, Lisa; Maldonado-Mahauad, Jorge; Gentili, Sheridan; Perez-Sanagustin, Mar; Tsai, Yi-Shan – Journal of Learning Analytics, 2020
Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning…
Descriptors: Learning Analytics, Learning Strategies, Instructional Design, Delivery Systems
Payne, J. Scott – Foreign Language Annals, 2020
Sequencing language production activities based on the inherent cognitive load of each activity type can improve student performance and self-efficacy on high cognitive load language tasks like conversational speech (either face-to-face or via video chat). This ordering according to cognitive difficulty can scaffold learners in their development…
Descriptors: Second Language Learning, Second Language Instruction, Online Courses, Instructional Design