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Katrina E. Forbes-McKay; Pauline A. M. Bremner; Pamela Johnston; Carol Air – Journal of Applied Research in Higher Education, 2025
Purpose: This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance. Design/methodology/approach: Three hundred and eighty-six university students recruited via opportunistic…
Descriptors: Independent Study, Student Attitudes, Student Motivation, Learning Strategies
Çetin, Baris – Educational Policy Analysis and Strategic Research, 2022
This study aims to determine whether university students' levels of online self-regulated learning, online technologies self-efficacy, and motivated strategies for learning predict their general academic achievement and online academic achievement. In this study, the scanning design and the prediction research design were used. The participants of…
Descriptors: Foreign Countries, College Students, Independent Study, Electronic Learning
Casali, Nicole; Ghisi, Marta; Meneghetti, Chiara – Education Sciences, 2022
Little is known about the intraindividual dispositional factors related to cognitive, behavioral, and emotional academic learning outcomes under COVID-19. This study investigated (i) the associations of intraindividual factors, some related to studying (motivation to learn, self-regulated learning, and study resilience), others more general (soft…
Descriptors: Academic Achievement, Outcomes of Education, COVID-19, Pandemics
Acevedo, Ricardo – ProQuest LLC, 2018
The study examined student utilization and application of learning strategies in college level online courses and the context was a Hispanic Serving Institution (HSI) in the Southwest. Even though online courses continue to grow at a steady pace, few research studies have taken the task to analyze the utilization of learning strategies and their…
Descriptors: College Students, Hispanic American Students, Learning Strategies, Online Courses
Zhou, Jiahua; Zhang, Qiping – Education Sciences, 2021
COVID-19 affected various aspects of our life. Many college students were forced to take courses remotely. It was not clear how they adapted to this new environment and how their mental health was affected. The objective of this study is to understand college students' learning experience one year after the outbreak of COVID-19. An online survey…
Descriptors: College Students, On Campus Students, Low Income Students, Student Satisfaction
Kang, Myunghee; Hahn, Jungsun; Chung, Warren – Journal of Interactive Learning Research, 2015
The Technology Enhanced Student Centered Learning (TESCL) Model in this study presents the core factors that ensure the quality of learning in a technology-supported environment. Although the model was conceptually constructed using a student-centered learning framework and drawing upon previous studies, it should be validated through real-world…
Descriptors: Educational Technology, Student Centered Curriculum, Educational Environment, Models
Yagci, Mustafa – Turkish Online Journal of Educational Technology - TOJET, 2016
High-level thinking and problem solving skill is one requirement of computer programming that most of the students experience problems with. Individual differences such as motivation, attitude towards programming, thinking style of the student, and complexity of the programming language have influence on students' success on programming. Thus,…
Descriptors: Blended Learning, Programming Languages, Success, Student Motivation
Yilmaz, Özkan; Sanalan, Vehbi Aytekin – Turkish Online Journal of Educational Technology - TOJET, 2015
The aim of this study is to examine the effect of mobile technology use in university science instruction on students' academic achievement and self-regulation skills. An experimental study is conducted to test the use of mobile in-class interaction system (M-CIS) and to determine the change in students' academic achievement and self-regulation…
Descriptors: Science Instruction, College Science, Handheld Devices, Electronic Learning
Juarez Collazo, Norma A.; Corradi, David; Elen, Jan; Clarebout, Geraldine – Higher Education Studies, 2014
Research has documented the use of tools in computer-based learning environments as problematic, that is, learners do not use the tools and when they do, they tend to do it suboptimally. This study attempts to disentangle cause and effect of this suboptimal tool use for experienced learners. More specifically, learner variables (metacognitive and…
Descriptors: Electronic Learning, Computer Assisted Instruction, Computer Uses in Education, Use Studies
Cho, Moon-Heum; Shen, Demei – Distance Education, 2013
The purpose of this study was to examine the role of goal orientation and academic self-efficacy in student achievement mediated by effort regulation, metacognitive regulation, and interaction regulation in an online course. The results show that intrinsic goal orientation and academic self-efficacy predicted students' metacognitive…
Descriptors: Self Management, Online Courses, Electronic Learning, Metacognition
Joo, Young Ju; Joung, Sunyoung; Lim, Eugene; Kim, Hae Jin – International Association for Development of the Information Society, 2014
This study investigated whether college students' self-efficacy, level of learning strategy use, academic burnout, and school support predict course satisfaction and learning persistence. To this end, self-efficacy, level of learning strategy use, academic burnout, and school support were used as prediction variables, and course satisfaction and…
Descriptors: Foreign Countries, College Students, Self Efficacy, Learning Strategies
Chyung, Seung Youn; Moll, Amy J.; Berg, Shelley A. – Journal of Effective Teaching, 2010
Research on academic self-regulation suggests that students who are successful in academic settings tend to possess and use effective self-regulative learning characteristics such as intrinsic goal orientation and self-efficacy. Social-cognitive theories also emphasize that learning occurs through interactions between learners and the learning…
Descriptors: Goal Orientation, Self Efficacy, Electronic Learning, Engineering Education
Samruayruen, Buncha; Enriquez, Judith; Natakuatoong, Onjaree; Samruayruen, Kingkaew – Journal of Educational Computing Research, 2013
This study identified five effective self-regulated learning (SRL), investigated the correlation of demographic information and SRL, and measured significant predictor of prior experiences on SRL. Eighty-eight Thai learners participated in the SRL survey, which was adapted from the MSLQ. The findings indicated that Intrinsic Goal and Self-Efficacy…
Descriptors: Foreign Countries, Web Based Instruction, Electronic Learning, Internet
Wang, Chih-Hsuan; Shannon, David M.; Ross, Margaret E. – Distance Education, 2013
The purpose of this study was to examine the relationship among students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified…
Descriptors: Student Characteristics, Self Management, Self Efficacy, Outcomes of Education
Hodges, Charles B.; Kim, Chanmin – Journal of Educational Computing Research, 2010
The purpose of this study was to: (a) investigate the effects of email to enhance learners' use of self-regulation strategies; (b) examine different effects between email list and individually addressed notes on the enhancement of self-regulation; (c) observe and record changes in self-regulation and self-efficacy; and (d) explore the…
Descriptors: Self Efficacy, Self Control, Electronic Mail, Electronic Learning
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