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Nur, Lutfi; Yulianto, Ade; Suryana, Dodi; Malik, Arief Abdul; Ardha, Muchamad Arif Al; Hong, Fan – International Journal of Instruction, 2022
The distribution map of physical education learning motivation could provide information about the electability of motivational items (questionnaires) distributed to several elementary school students. In more detail, this study would analyze the grouping of the electability level of physical education learning motivation items in elementary…
Descriptors: Physical Education, Learning Motivation, Elementary School Students, Scores
Ima, Wa; Pattiasina, Johan; Sopacua, Jems – Journal of Education and Learning (EduLearn), 2023
Value clarification technique (VCT) and teaching and contextual learning (CTL) are learning models that are rarely compared in history learning. Hence, the purpose of this study was to find: (1) The differences in student learning outcomes using the VCT model and the CTL learning model; (2) Differences in student learning outcomes between the use…
Descriptors: History Instruction, Learning Processes, Learning Motivation, Outcomes of Education
Viarti Eminita; Asep Saefuddin; Kusman Sadik; Utami Dyah Syafitri – Journal on Mathematics Education, 2024
Motivation to learn mathematics decreased due to the inability of teachers to implement innovative learning models and techniques. Therefore, this study aimed to investigate the effects of teachers' ability on students' motivation to learn mathematics by using quantitative methods and survey approaches. There were 32 mathematics teachers and 542…
Descriptors: Mathematics Instruction, Teaching Methods, Learning Motivation, Student Motivation
de Brabander, Cornelis J.; Glastra, Folke J. – Education and Information Technologies, 2021
This study explored the readiness of teachers to learn about learning and teaching supportive modes of ICT use with the lens of the Unified Model of Task-specific Motivation (UMTM). According to the UMTM readiness for action is driven by feelings of activities and thoughts about the value of consequences of activities, which both can be positive…
Descriptors: Computer Uses in Education, Teacher Motivation, Readiness, Models
Mello, Débora Amaral Taveira; Neves, Marcos Cesar Danhoni; Mello, Alexandre José Tuoto Silveira; dos Santos, Giovana Blitzkow Scucato – Science & Education, 2023
Science museums have demonstrated over time, and through various academic researches, to be a favorable environment to awaken the desire to learn more about scientific content, bringing visitors closer to artifacts and concepts in a different way than any other media can offer. In this research, we investigate how the public interacts with the…
Descriptors: Models, Museums, Computer Simulation, Science Education
Bayounes, Walid; Saâdi, Ines Bayoudh; Kinsuk – Smart Learning Environments, 2022
The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner's motivation. One of the major challenges to the mainstream adoption of adaptive learning is the complexity and time involved in guiding the learning process. To tackle these problems, this…
Descriptors: Learning Processes, Learning Motivation, Individualized Instruction, Models
Wang, Tianyi; Fisher, Linda – International Journal of Multilingualism, 2023
While interest in multilingualism is growing, in the field of motivation little research has examined the role played by learners' multilingual selves in constructing their motivation to learn a foreign language other than English (LOTE). Based on a dynamic model of the L2 Motivational Self System, this study explores how Chinese undergraduates'…
Descriptors: Foreign Countries, Undergraduate Students, Learning Motivation, Multilingualism
Shemy, Nader Said; Dalioglu, Seray Tatli – Journal of Education and e-Learning Research, 2023
The current study aimed to evaluate an online learning experience based on the music model of motivation in an educational technology post-graduate program in Oman. In order to understand the motivational perceptions of students regarding the instruction, a two-phase, sequential explanatory mixed method research design was conducted in this study.…
Descriptors: Models, Learning Motivation, Educational Technology, Graduate Students
Chia-Ju Lin; Hsin-Yu Lee; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
In STEM hands-on learning activities, collaboration with group members can be a significant motivator for students' engagement. This research is based on the 6E Learning by DeSIGN™ model and explores the impact of incorporating reflective strategies on students' learning performance, motivation, and participation in collaborative STEM learning…
Descriptors: STEM Education, Reflection, Assistive Technology, Recognition (Psychology)
Zhang, Yulei Gavin; Dang, Mandy Yan – Journal of Information Technology Education: Research, 2020
Aim/Purpose: In this study, we aim to understand factors that can influence technology-supported learning, specifically in the blended environment. To do that, a research model is developed by incorporating factors from three perspectives, including self-related factors, technology and systems factors, and the instructional design factor.…
Descriptors: Technology Uses in Education, Blended Learning, Models, College Freshmen
Undergraduate Engineering Students' Subjective Task Value Beliefs for Modeling Problems in Chemistry
Crippen, Kent J.; Imperial, Lorelie; Bolch, Charlotte A.; Payne, Corey A. – International Journal of Science and Mathematics Education, 2023
Use of modeling as a learning strategy in introductory science courses could serve to support the persistence of all students, including those who identify with a traditionally underrepresented ethnic minority (URM). If students find inherent value in working on modeling-type problems then this authentic practice would aid in transforming personal…
Descriptors: Undergraduate Students, Engineering Education, Learning Strategies, Learning Motivation
Ben-Eliyahu, Adar – Educational Psychologist, 2019
The aim of this article is to map the academic emotional learning cycle from a theoretical and practical perspective through the lens of self-regulated learning. Focusing on the learner, a further iteration of the emotional dimension of the integrated self-regulated learning model is articulated by considering within-individual components (i.e.,…
Descriptors: Emotional Development, Emotional Intelligence, Psychological Patterns, Learning Processes
Antonio Fabio Bella – Journal of Moral Education, 2024
I present a new model of the self-regulation of virtue that integrates perspectives on emotion, cognition, and motivation. Across three vignette-based studies in US/UK (N = 1,540), I developed through exploratory and confirmatory factor analysis a multi-item measure of broadening and defensive responses, the Self-Regulation of Virtue Inventory…
Descriptors: Moral Values, Moral Development, Metacognition, Network Analysis
Dolawattha, D. D. M.; Premadasa, H. K. S. – International Journal of Information and Communication Technology Education, 2021
In this study, the authors are concerned about influencing factors on mobile learning tools for the applicable and sustainable mobile learning environment. The authors proposed an impact model with five influencing factors namely usefulness, interactivity, motivation, facilitating conditions, and ease of use. The 60 students and 60 teachers in…
Descriptors: Telecommunications, Handheld Devices, Higher Education, Models
Abarkan, Ali; BenYakhlef, Majid – Education and Information Technologies, 2022
Learning to code is far from an easy task, it is a promising approach that underscores the use of the video game culture of students to motivate them to invest their time in the practice of programming. The students in this discipline are often discouraged by the amount of information to remember and the complex and constraining syntaxes.…
Descriptors: Programming Languages, Educational Games, Computer Games, Learning Motivation