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Zhu, Meina; Doo, Min Young – Journal of Computing in Higher Education, 2022
In massive open online learning courses (MOOCs) with a low instructor-student ratio, students are expected to have self-directed learning abilities. This study investigated the relationship among motivation, self-monitoring, self-management, and MOOC learners' use of learning strategies. An online survey was embedded at the end of three MOOCs with…
Descriptors: Student Motivation, Self Management, Online Courses, Learning Strategies
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Utunen, Heini; Crowder, Ryan; Arabi, Elham; Tokar, Anna; Mattar, Lama – Journal of Educators Online, 2023
This article aims to present learning strategies that can be applied to OpenWHO online courses to primarily increase learning retention and nudge behavior change where applicable. This paper draws on existing research on learning strategies and takes an innovative approach to recommend how these strategies could be applied to learning design to…
Descriptors: Retention (Psychology), Behavior Change, Learning Strategies, Online Courses
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Zhu, Meina; Bonk, Curtis J.; Berri, Sarah – Online Learning, 2022
Given the increasing number of learners in massive open online courses (MOOCs), students' self-directed learning (SDL) skills are necessary for their success. The purpose of this study was to explore learners' motivation for enrolling in MOOCs and their SDL strategies, as well as instructional elements that support SDL from learners' perspectives.…
Descriptors: Online Courses, Independent Study, Student Motivation, Learning Strategies
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Lin, Feng; Lim, Lyndon; Ho, Yan Yin; Tan, Bao Zhen; Lim, Wei Ying – Higher Education Research and Development, 2023
This study adapted and validated Barnard's Online Self-Regulated Learning Questionnaire (OSLQ) to assess adult learners' (n = 1302) online self-regulation, and examined its relation with attitude towards online learning and perceived online learning satisfaction. It was found that age and employment status were important demographic factors…
Descriptors: Test Construction, Test Validity, Electronic Learning, Self Management
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Scott Aubrey; Andrew Philpott – Language Teaching Research, 2025
This study examined the impact of collaborative pre-task strategic planning followed by rehearsal on the quantity and novelty of content used in task performances when strategic planning is performed in different language conditions in an online classroom. Forty Japanese university students of English as a foreign language (EFL) from two intact…
Descriptors: Online Courses, Language Usage, Native Language, Second Language Learning
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Langanani Rakhunwana; Angelique Kritzinger; Lynne A. Pilcher – Chemistry Education Research and Practice, 2025
During their first year of study at university, many students encounter challenges in developing learning strategies that align with success in the courses in which they are enrolled. The emergence of the COVID-19 pandemic heightened the challenges as universities were compelled to transition to online learning. Therefore, this study investigated…
Descriptors: Chemistry, Science Instruction, Online Courses, College Freshmen
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Kim, Dongho; Jo, Il-Hyun; Song, Donggil; Zheng, Hua; Li, Jingwei; Zhu, Jiawen; Huang, Xing; Yan, Wei; Xu, Zhen – Asia Pacific Education Review, 2021
The self-paced nature of asynchronous online learning (AOL) is recognized as an obstacle that disrupts student success in the learning environment. Without on-time interventions provided by instructors, students find it challenging to use learning strategies tailored to the learning environment, and their use of self-regulated learning (SRL)…
Descriptors: Independent Study, Learning Strategies, Video Technology, Online Courses
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Ladwig, Adam; Berg-Poppe, Patti J.; Ikiugu, Moses; Ness, Brandon M. – Distance Learning, 2022
This study aimed to identify factors that impact graduate health students' preference for synchronous or asynchronous online lecture participation. Constructive factors were proposed and then measured for each participant via the Motivated Strategies for Learning Questionnaire scales. It was hypothesized that students ranking lower in the domains…
Descriptors: Influences, Preferences, Online Courses, Graduate Students
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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
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Stark, Emily – Online Learning, 2019
The goal of this paper is to compare the motivations and learning strategies of online and face-to-face students, utilizing the Motivated Strategies for Learning Questionnaire (Pintrich et al., 1993). Prior research (Crede & Phillips, 2011) suggests that motivation variables play a larger role in predicting student success in online courses…
Descriptors: Student Motivation, Learning Strategies, Online Courses, Questionnaires
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O'Malley, Chasity B.; Ross, Kyla Turpin; Hull, Kerry; Hood, Suzanne; Page, Olivia; Jensen, Murray – HAPS Educator, 2021
A unique approach to improving student success in Human Anatomy and Physiology can be centered around teaching the students about metacognitive learning strategies. This perspective discusses the implementation of a metacognitive learning strategies session and highlights some of the outcomes that resulted from the session through exam wrapper…
Descriptors: Metacognition, Learning Strategies, Anatomy, Physiology
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Cheng, Xin; Ma, Xin-Yue; Luo, Chaohua; Chen, Jian; Wei, Wei; Yang, Xuesong – Advances in Physiology Education, 2021
Students' preferences and engagement with online educational resources and activities are crucial for academic success in the context of online medical education. This study investigated the preferences of Chinese medical students regarding the teaching strategies used by instructors and their relationship with course difficulty level, student's…
Descriptors: Correlation, Medical Students, Preferences, Electronic Learning
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Lauren Denusik; Danielle Glista; Michelle Servais; Jodi Friesen; Janis Oram; Barbara Jane Cunningham – Autism & Developmental Language Impairments, 2024
Background and aims: Caregiver-delivered programs are a recommended best practice to support young autistic children. While research has extensively explored children's outcomes quantitatively, minimal qualitative research has been conducted to understand caregivers' perspectives of program outcomes for themselves and their children. Hearing…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Preschool Children, Caregiver Attitudes
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Samsul Arifin; Joko Nurkamto; Dewi Rochsantiningsih; Gunarhadi – rEFLections, 2024
The shift from online to offline learning during the post-COVID-19 pandemic prevents pre-service EFL teachers from producing spontaneous oral utterances due to speaking anxiety. The article aims to determine the most preferential strategies that effectively cover speaking anxiety and identify a significant variation among the strategies. To meet…
Descriptors: Speech Communication, Anxiety, English (Second Language), Second Language Instruction
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Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth – Frontline Learning Research, 2020
To be successful in online education, learners should be able to self-regulate their learning due to the autonomy offered to them. Accurate measurement of learners' self-regulated learning (SRL) in online education is necessary to determine which learners are in need of support and how to best offer support. Trace data is gathered automatically…
Descriptors: Learning Strategies, Online Courses, Electronic Learning, Data Collection
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