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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
Chapman, Sue; Mitchell, Mary – Learning Professional, 2020
Peek into a math classroom, virtual or physical. What are students doing and saying about their math learning? Are they engaged? Are they thinking critically -- evaluating solutions, assessing their understanding, revising their strategies, explaining concepts, and connecting mathematics to real life? Helping all students become more self-directed…
Descriptors: Independent Study, Mathematics Instruction, Active Learning, Electronic Learning
Cerezo, Rebeca; Bogarín, Alejandro; Esteban, María; Romero, Cristóbal – Journal of Computing in Higher Education, 2020
Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only content, but also students' acquisition of core skills such as self-regulated learning. Our objective was to discover students'…
Descriptors: Data Analysis, Self Management, Evaluation Methods, Electronic Learning
Duong Ngo; Andy Nguyen; Belle Dang; Ha Ngo – International Journal of Artificial Intelligence in Education, 2024
Artificial intelligence (AI) has been recognised as a promising technology for methodological progress and theoretical advancement in learning sciences. However, there remains few empirical investigations into how AI could be applied in learning sciences research. This study aims to utilize AI facial recognition to inform the learning regulation…
Descriptors: Artificial Intelligence, Nonverbal Communication, Human Body, Recognition (Psychology)
Jiles, Kristina A.; Chase, Melissa; Hosig, Kathy; Wenzel, Sophie; Schlenker, Eleanor; Rafie, Carlin – Journal of Extension, 2019
We developed a master food volunteer (MFV) continuing education program (CEP) for MFVs assisting Extension agents with a diabetes self-management program. Our development process included two phases of pilot testing. First, seasoned MFVs tested and provided formative feedback on the first iteration of the MFV CEP modules. After revising the…
Descriptors: Volunteer Training, Continuing Education, Self Management, Diabetes
Cogliano, MeganClaire; Bernacki, Matthew L.; Kardash, CarolAnne M. – Journal of Educational Psychology, 2021
The present study examined the effects of a classroom intervention on students' metacognitive monitoring of retrieval practice performance feedback and metacognitive control of future study decisions. A true experimental design was used to randomly assign 103 undergraduate students from an education course to trained (n = 49) and control (n = 54)…
Descriptors: Metacognition, Recall (Psychology), Self Management, Intervention
Willems, Patricia P.; Gonzalez-DeHass, Alyssa R.; Powers, Jillian R.; Musgrove, Ann – Educational Technology Research and Development, 2021
Instructional methods in higher education are changing in response to the growing popularity for distance learning courses. Investigating methods of instruction that will assist in the manner that coursework is taught in online courses is therefore a significant enterprise to research. Specifically, examining the relation between theory and…
Descriptors: Authentic Learning, Case Method (Teaching Technique), Mastery Learning, Goal Orientation
Cheon, Jongpil; Cheng, Jiaming; Cho, Moon-Heum – Distance Education, 2021
This study reports the development and validation of the Online Learning Readiness Self-Check (OLRSC), a self-report survey designed to examine nontraditional students' readiness for online learning. A total of 505 prospective online learners with diverse background participated in the study. Data from 252 randomly selected participants were used…
Descriptors: Self Evaluation (Individuals), Self Concept Measures, Electronic Learning, Learning Readiness
Bayyat, Manal; Abu Muaili, Zainab Helmy; Aldabbas, Lujayn – Turkish Online Journal of Distance Education, 2022
This study aims to investigate: (1) the construct validity of the "Blended Learners' Online Component Challenges" BLOCC scale; (2) the internal reliability of the scale; and (3) the differences between blended learners' online component challenges according to different socio-demographic variables for Sport Science students. The sample…
Descriptors: Electronic Learning, Blended Learning, Measures (Individuals), Construct Validity
Lok, Wai Foong; Hamzah, Mahizer – International Journal of Evaluation and Research in Education, 2021
Mobile devices have been utilized as an emerging learning tool in the 21st century to support the learning of chemistry. This study aimed to identify matriculation students' learning experience with regards to the use of mobile devices for learning chemistry. The study employed a qualitative case study approach, which was carried out in a…
Descriptors: Student Experience, College Bound Students, College Preparation, Handheld Devices
Licayan, Rodrigo Jr. C.; Herrera, Angelli B.; Bersano, Michelle S.; Idul, Rocris Glenn R. – Online Submission, 2021
This convergent-parallel mixed-methods study was conducted to examine students' readiness on flexible learning modality established in the local context based on Commission on Higher Education Memorandum Order No. 04 series of 2020 or the "Guidelines on the Implementation "Flexible Learning in the Philippines." A sample of 408…
Descriptors: Learning Readiness, Learning Modalities, Higher Education, College Students
Kay Wijekumar; Karen R. Harris; Steve Graham; Pui-Wa Lei – Grantee Submission, 2022
A central goal of upper elementary schools is improving students' skills to write persuasively using source materials. This study focused on three essential areas of writing at the upper elementary grade levels. First, children learned skills to read and use source materials through the web-based intelligent tutoring system for the text structure…
Descriptors: Grade 5, Persuasive Discourse, Writing (Composition), Electronic Learning
Kausalai Kay Wijekumar; Karen R. Harris; Steve Graham; Puiwa Lei – Educational Technology Research and Development, 2022
A central goal of upper elementary schools is improving students' skills to write persuasively using source materials. This study focused on three important areas of writing at the upper elementary grade levels. First, the web-based intelligent tutoring system for the text structure strategy (ITSS) was used to teach children how to read source…
Descriptors: Elementary School Students, Grade 5, Persuasive Discourse, Writing (Composition)
Landrum, Brittany – Online Learning, 2020
As online class offerings continue to proliferate and more students take at least one online class in college, more research is needed to explore factors that impact students' perceptions of their online classes. Past research has found a positive relationship between students' computer self-efficacy and their satisfaction with online learning,…
Descriptors: Electronic Learning, Online Courses, Self Efficacy, Self Management
Thibodeaux, Tilisa; Harapnuik, Dwayne – International Journal on E-Learning, 2020
This study explored how students perceive and use feedback to take ownership and deepen their learning in an online graduate degree program. A review of the literature revealed that the context and conditions in which feedback is given impact students' understanding and receptivity to feedback and affect how students use feedback to deepen their…
Descriptors: Feedback (Response), Student Attitudes, Graduate Students, Electronic Learning