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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)
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
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
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
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
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
Hyang-il Kim – SAGE Open, 2023
The present study is aimed at examining the links between L2 self-guides and self-determination theory (SDT). 429 Korean university students participated in the study and their responses to the questionnaires on L2 self-guides in the 2 x 2 model and autonomous motivation of SDT were analyzed. The results show that, first, promotion focused L2…
Descriptors: Foreign Countries, Second Language Learning, Independent Study, Self Determination
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Khong, Hou Keat; Kabilan, Muhammad Kamarul – Computer Assisted Language Learning, 2022
The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for…
Descriptors: Second Language Instruction, Cognitive Processes, Difficulty Level, Self Determination
Fragkiadaki, Glykeria; Fleer, Marilyn; Rai, Prabhat – Research in Science Education, 2023
A substantial number of empirical studies in the field of Early Childhood Science Education have explored science concept formation in early childhood educational settings. Most of these studies focus on the process of science concept formation during a teaching intervention or a school year period. However, less is known about how children form…
Descriptors: Foreign Countries, Infants, Toddlers, Young Children
Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation