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Liao, Hongjian; Zhang, Qianwei; Yang, Lin; Fei, Yuenong – Education and Information Technologies, 2023
This study explored the relationships among regulated learning, teaching presence and student engagement in blended learning. A two-level model was designed based on contextual factors (teaching presence) and individual factors (regulated learning), and experience sampling method was employed to collect intensive longitudinal data on 139…
Descriptors: Metacognition, Teaching Methods, Learner Engagement, Blended Learning
Brian R. Belland; Anna Y. Zhang; Eunseo Lee; Emre Dinç; ChanMin Kim – Journal of Computing in Higher Education, 2025
Computer science can be included in Early Childhood Education (ECE) through the use of block-based coding and robots. But this requires adequate preparation of ECE teachers to work with coding and robots, and integrate such into high quality lesson plans. In this paper, we investigate predictors of lesson plan quality among preservice, early…
Descriptors: Robotics, Educational Quality, Lesson Plans, Early Childhood Education
Fang Huang; Dingyang Peng; Timothy Teo – European Journal of Education, 2025
Contextualised in the AI--supported English-speaking learning, this study examined the roles of AI affordances in influencing EFL learners' emotional, cognitive, and behavioural speaking engagement, and explored the moderating roles of gender and learner types (on-campus vs. on-job) in influencing AI-supported English-speaking engagement. Data…
Descriptors: Learner Engagement, Second Language Learning, Second Language Instruction, English (Second Language)
Zhou, Liqiu; Xue, Sijia; Li, Ruiqian – SAGE Open, 2022
While online education has been increasingly adopted in different educational systems across the world, it is still a recent phenomenon in developing countries such as China. Various factors could affect learners' adoption of technology, including their online learning. In this study, we took the Technology Acceptance Model as the theoretical…
Descriptors: Online Courses, Integrated Learning Systems, Technology Integration, Intention
Whetten, David A. – Journal of Management Education, 2021
Ten years ago, after 20 years as a university professor, I was asked to direct the teaching and learning support center at my university. I quickly realized I had almost no knowledge of the published scholarship on this subject. From my reading of this literature, I found the research on the predictors of student learning particularly informative.…
Descriptors: Course Organization, Instructional Design, Learning Experience, Outcomes of Education
König, Johannes; Bremerich-Vos, Albert; Buchholtz, Christiane; Glutsch, Nina – Journal of Curriculum Studies, 2020
Lesson planning of teachers as a research field has received little attention in terms of modelling and measuring relevant competences. As an innovative measurement approach, we developed a standardised method for analysing written plans of demonstration lessons. Our focus is on the demand of pedagogical adaptivity, i.e., the ways in which lesson…
Descriptors: Lesson Plans, Teaching Methods, Pedagogical Content Knowledge, Preservice Teachers
Ozogul, Gamze; Zhu, Meina; Phillips, Tanner M. – Online Learning, 2022
Online instructional design and how to engage students cognitively in online asynchronous courses have been an ongoing question. This case study presents an intentional design of an asynchronous online graduate course to foster cognitive presence. The research questions investigate students' cognitive presence (CP) captured by two measures:…
Descriptors: Group Discussion, Computer Mediated Communication, Predictor Variables, Instructional Design
Danko, Manica; Decman, Mitja; Keržic, Damijana; Zorko, Vida – International Association for Development of the Information Society, 2020
Information communication technology (ICT) that is used in instruction has attracted the attention of researchers with many studies having looked at the factors affecting how university instructors apply it in their teaching. Yet little is known about whether the gender of university teachers can impact their ICT use. This research relies on…
Descriptors: Gender Differences, College Faculty, Foreign Countries, Information Technology
Betts, Kristen; Miller, Michelle; Tokuhama-Espinosa, Tracey; Shewokis, Patricia A.; Anderson, Alida; Borja, Cynthia; Galoyan, Tamara; Delaney, Brian; Eigenauer, John D.; Dekker, Sanne – Online Learning Consortium, 2019
Neuromyths are false beliefs, often associated with teaching and learning, that stem from misconceptions or misunderstandings about brain function. While belief in neuromyths has been established as prevalent among the general public and K-12 teachers, literature about neuromyth belief among higher education professionals (instructors,…
Descriptors: Evidence Based Practice, Brain Hemisphere Functions, Misconceptions, Higher Education
Willans, Fiona; Fonolahi, Aluwesi; Buadromo, Ralph; Bryce, Tilisi; Prasad, Rajendra; Kumari, Sandhya – Journal of University Teaching and Learning Practice, 2019
This paper reports on the evaluation of an ambitious attempt to embed academic literacy support within a core content course for first-year students at the University of the South Pacific. The course is offered in both blended and online modes, catering for on-campus and off-campus students, respectively, using Moodle as the virtual learning…
Descriptors: Learner Engagement, Academic Language, Instructional Design, Management Systems
Brunton, Bruce – Journal of Education for Business, 2015
Data from nine introductory microeconomics classes was used to test the effect of student learning style on academic performance. The Kolb Learning Style Inventory was used to assess individual student learning styles. The results indicate that student learning style has no significant effect on performance, undermining the claims of those who…
Descriptors: Introductory Courses, Economics Education, Cognitive Style, Microeconomics
Rubio, Fernando; Thomas, Jonathan M.; Li, Qin – Computer Assisted Language Learning, 2018
This chapter describes a study of a blended language course that combines face-to-face (F2F) instructional time with an online component. The purpose of the study is to understand how teachers and students exploit the complementarity of the two delivery formats to improve the learning experience. The study first examines how the presence of an…
Descriptors: Student Participation, Blended Learning, Second Language Learning, Second Language Instruction
Warren, Chezare A.; Lessner, Susan – Penn GSE Perspectives on Urban Education, 2014
The quality of student-teacher interactions is shaped by both the capacity of the teacher to cultivate trusting relationships with students and his or her ability to establish a safe, supportive classroom environment. This proves especially important for individuals teaching in multicultural and urban education settings. In recent literature,…
Descriptors: Empathy, Teacher Student Relationship, Interaction, Student Diversity
McElhaney, Kevin W.; Chang, Hsin-Yi; Chiu, Jennifer L.; Linn, Marcia C. – Studies in Science Education, 2015
Dynamic visualisations capture aspects of scientific phenomena that are difficult to communicate in static materials and benefit from well-designed scaffolds to succeed in classrooms. We review research to clarify the impacts of dynamic visualisations and to identify instructional scaffolds that mediate their success. We use meta-analysis to…
Descriptors: Science Curriculum, Science Materials, Visualization, Evidence
Richey, J. Elizabeth; Nokes-Malach, Timothy J. – Learning and Instruction, 2013
A central goal of the learning sciences is to discover principles that determine the optimal amount of instructional assistance to support robust learning (Koedinger & Aleven, 2007). We examined learning outcomes from providing and withholding stepwise instructional explanations as students studied worked examples and solved physics problems. We…
Descriptors: Demonstrations (Educational), Teaching Methods, Problem Solving, Learning Processes

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