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Palalas, Agnieszka; Wark, Norine – Australasian Journal of Educational Technology, 2020
A systematic review of 38 primary research peer-reviewed articles, drawn from six databases and spanning from January 2007 to January 2019, was conducted to determine the principle information that they collectively offered on the relationship between mobile learning (mlearning) and self-regulated learning (SRL). In answering the research…
Descriptors: Electronic Learning, Self Management, Educational Research, Research Methodology
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Acosta-Gonzaga, Elizabeth; Ramirez-Arellano, Aldo – SAGE Open, 2021
Previous research has proposed a conceptual model of the relationships between motivation, emotions, cognition, and metacognition related to students' learning performance and validated it in a blended learning context that combines traditional learning with the use of educational technology. This study examined these relationships to test the…
Descriptors: Student Motivation, Psychological Patterns, Positive Attitudes, Metacognition
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Xiu, Ying; Thompson, Penny – Journal of Information Technology Education: Research, 2020
Aim/Purpose: This study aims to explore the relationship between motivation and students' perspectives, learning performance, and use of online course materials in flipped classrooms. Background: The flipped classroom model is an innovative instruction method that has limited research to date exploring its impact on motivation. It remains unknown…
Descriptors: Blended Learning, Student Attitudes, Student Motivation, Grades (Scholastic)
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Al Fadda, Hind – English Language Teaching, 2019
Technology has changed the social landscape and the nature of social interaction. Education has been affected by these changes, as technology has facilitated the creation and Implementation of new educational environments and delivery methods (e.g., distance and blended-learning structures). While the prevalence of such approaches has increased…
Descriptors: Correlation, Blended Learning, English (Second Language), Second Language Learning
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Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
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Ebru Öztürk – Journal of Baltic Science Education, 2015
The study attempts to determine whether or not Facebook is an environment suiting the Community of Inquiry Framework by investigating the cognitive, social, and teaching presence perceptions of students in Facebook groups and to examine the impact of group size on the CoI model. Additionally, whether or not these three types of presences predicted…
Descriptors: Social Networks, Social Media, Communities of Practice, Correlation
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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
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Hood, Michelle – Australasian Journal of Educational Technology, 2013
This study examined predictors of students' intentions to access face-to-face (f2f) or online options for lectures and tutorials in a buffet-style blended learning 2nd-year psychology statistics course ("N" = 113; 84% female). Students were aged 18 to 51 years ("M" = 23.16; "SD"= 6.80). Practical and technological…
Descriptors: Blended Learning, Intention, Online Courses, Computer Software