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Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Berlin, Kathryn; Weavera, Kathleen Visovatti – College Teaching, 2022
This paper explores results of an online course revision to enhance student learning strategies and interactions. Data was collected from 125 of 167 students enrolled in an entry-level course at a large Midwestern university. Mid-term and end-of-semester surveys indicate that students found strategies such as mini-lectures, Quick Checks, and…
Descriptors: Teaching Methods, Online Courses, Student Attitudes, Social Media
Mochamad Guntur; Yoppy Wahyu Purnomo – Online Learning, 2024
Self-regulated learning interventions influence students' learning outcomes in online and blended environments. A review of the literature about self-regulated learning strategies reveals both significant and non-significant effects on learning outcomes in online and blended environments. The aim of this study was to calculate the common effect…
Descriptors: Self Management, Online Courses, Blended Learning, Educational Technology
Chungsoo Na; Daeyeoul Lee; Jewoong Moon; Youngin Shin – Education and Information Technologies, 2024
In online STEM courses, self-regulated learning (SRL) serves a critical role in academic success because students are required to monitor and regulate their learning processes. Yet, relatively little research has investigated which and to what extent do SRL strategies contribute to students' online learning experiences. In this paper, with a lens…
Descriptors: Undergraduate Students, Undergraduate Study, STEM Education, Online Courses
Long Zhang; Khe Foon Hew – Education and Information Technologies, 2025
Although self-regulated learning (SRL) plays an important role in supporting online learning performance, the lack of student self-regulation skills poses a persistent problem to many educators. Recommender systems have the potential to promote SRL by delivering personalized feedback and tailoring learning strategies to meet individual learners'…
Descriptors: Independent Study, Electronic Learning, Online Courses, Artificial Intelligence
Ying Wang; Rayne A. Sperling; Jennelle L. Malcos – Metacognition and Learning, 2024
The present study investigated the extent to which monitoring practice and timely monitoring feedback, contextualized in an online undergraduate biology course, improved students' metacognitive monitoring and learning outcomes. The intervention followed a true experimental design and randomly assigned 162 students into three conditions: a control…
Descriptors: Metacognition, Self Efficacy, Learning Strategies, Feedback (Response)
Jing Yan; Scott Grant; Hui Huang – Educational Technology & Society, 2025
Many studies have examined the factors that influence second language interaction, such as task type and communication mode, i.e., face-to-face and computer-mediated communication through online mode. However, there is a paucity of research that has investigated the effects of task type on negotiation of meaning (NoM), a specific type of…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Task Analysis
Angela M. Johnson – ProQuest LLC, 2021
The purpose of this phenomenological study is to understand "What are the lived experiences of online professional graduate students who utilize metacognitive study strategies for course success?". This study used Heidegger's hermeneutic approach to examine metacognitive study strategies in a graduate online master's level course.…
Descriptors: Course Content, Graduate Students, Metacognition, Learning Strategies
Zhuo Zhang; Qian Xu; Adrie A. Koehler; Timothy Newby – Online Learning, 2023
In this quantitative comparative study, we explored the differences in technology integration self-efficacy, use of self-regulated learning strategies, and actual learning between preservice teachers enrolled in blended sections (n = 275) and online sections (n = 50) of the same introductory educational technology course. The results revealed that…
Descriptors: Blended Learning, Electronic Learning, Distance Education, Self Efficacy
Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
The Role of Task Value and Online Learning Strategies in an Introductory Computer Programming Course
Menon, Pratibha – Information Systems Education Journal, 2022
The autonomy and flexibility that online learning contents provide students in a traditional face-to-face course require them to pick up newer strategies for regulating their learning process. This study focuses on identifying how students' self-reported traits of self-regulated learning may relate to the task value of the learning contents of an…
Descriptors: Learning Strategies, Programming, Computer Science Education, Metacognition
Ahrong Beik – Asia Pacific Education Review, 2025
This study aims to compare the influence of learners' self-regulation and sense of presence on online learning. Due to the increasing influence of online learning, self-regulation has received considerable attention. However, it is also claimed that an increased sense of presence can enhance online learning effects. For comparison, a meta-analysis…
Descriptors: Metacognition, Online Courses, Learning Strategies, Comparative Analysis
Daniel Gonzalez Jr. – ProQuest LLC, 2024
The number of online courses that have been developed by faculty continues to increase in higher education. The purpose of this mixed-methods research study is to investigate the effects of online courses developed using the Quality Matters (QM) framework on self-regulated learning behaviors for students enrolled in online courses. The research…
Descriptors: Online Courses, Higher Education, Self Management, Student Behavior
George Hanshaw; Joanna Vance; Craig Brewer – Open Praxis, 2024
This study examines the impact of AI course assistants on student learning experiences in online undergraduate courses at Los Angeles Pacific University. A controlled experiment involving 92 students across treatment and control groups was conducted to evaluate the effectiveness of AI assistants developed by Nectir. The treatment group had access…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Student Experience, Undergraduate Students
Megan N. Imundo; Rui Ling Rachel Sanchez; Bianca Gonzalez; Rebecca M. Adler; Elizabeth Ligon Bjork – Applied Cognitive Psychology, 2025
The COVID-19 pandemic produced a unique opportunity to examine undergraduate students' notetaking practices for online courses. In this large survey study (n = 584), we examined how students' notetaking changed from before to during emergency online instruction and how students used their notes during this time. Our findings suggest that students…
Descriptors: COVID-19, Pandemics, Notetaking, Online Courses