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Showing 16 to 30 of 772 results Save | Export
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Amir Reza Rahimi – Smart Learning Environments, 2024
MOOC attrition rates have become a research hotspot in open and online education, requiring researchers to pinpoint psychological, technological, pedagogical, and technical factors that could mitigate this problem. For this aim, the current study applied a tri-phenomenon approach to explore language learners' perceptions of support coupled with…
Descriptors: Foreign Countries, English Language Learners, MOOCs, Student Attrition
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Jody Langdon; Anna Brady; Diana Botnaru – International Journal of Kinesiology in Higher Education, 2024
The purpose of this study was to examine the influence of basic psychological need satisfaction and motivation on students' use of deep and surface learning strategies across undergraduate kinesiology courses. This study used a survey consisting of demographic questions and three self-report questionnaires assessing basic need satisfaction,…
Descriptors: Psychological Needs, Need Gratification, Student Motivation, Learning Strategies
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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
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Carl Boel; Tijs Rotsaert; Martin Valcke; Tammy Schellens – Journal of Computer Assisted Learning, 2025
Background: As immersive virtual reality (IVR) is increasingly being used by teachers worldwide, it becomes pressing to investigate how this technology can foster learning processes. Several authors have pointed to this need, as results on the effectiveness of IVR for learning are still inconclusive. Objectives: To address this gap, we first…
Descriptors: Artificial Intelligence, Computer Simulation, Learning Strategies, Middle School Students
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Paul Evans; Maarten Vansteenkiste; Philip Parker; Andrew Kingsford-Smith; Sijing Zhou – Educational Psychology Review, 2024
Although cognitive load theory research has studied factors associated with motivation, these literatures have primarily been developed in isolation from each other. In this contribution, we aimed to advance both fields by examining the effects of instructional strategies on learners' experience of cognitive load, motivation, engagement, and…
Descriptors: Cognitive Processes, Difficulty Level, Learning Motivation, Self Determination
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Birte Barbian; Thomas Shiozawa; Morris Gellisch; Irene Brunk; Katharina Langer-Fischer; Nicole Wagner; Sina Benker; Michelle Bellstedt; Nils Otto; Dogus Darici – Anatomical Sciences Education, 2025
Learning strategies encompass the diverse approaches students employ to master challenging subjects like anatomy. However, research examining these strategies in isolation remains inconclusive. Recent evidence suggests a shift toward a person-centered paradigm that considers how student subgroups combine multiple learning strategies. This study…
Descriptors: Anatomy, Medical Education, Dentistry, Medical Students
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Martin Majcík; Katarína Rozvadská; Tereza Vengrinová; Petr Novotný – Studies in the Education of Adults, 2024
The exit examination from upper-secondary school represents an essential part of the educational trajectory. However, the transition to the labour market or higher education can be complicated by failure. The qualitative study deals with repeatedly unsuccessful students who have struggled to pass the Czech exit exam called the Matura examination.…
Descriptors: Exit Examinations, Secondary School Students, Academic Failure, Test Preparation
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Kaur, Amanpreet; Chahal, Kuljit Kaur – Journal of Science Education and Technology, 2023
Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…
Descriptors: Personality, Learning Motivation, Computation, Thinking Skills
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Bea Mertens; Sven De Maeyer; Vincent Donche – European Journal of Psychology of Education, 2024
Research on learning strategies and learning motivation in different educational contexts has provided valuable insights, but in this field, low-educated adults remain an understudied population. This study addresses this gap by means of a person-oriented approach and seeks to investigate whether quantitatively and qualitatively different learner…
Descriptors: Profiles, Student Characteristics, Educational Attainment, Adults
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M. Jamal Bakali Tahiri; And Athanasios Mouratidis – European Journal of Education, 2024
Within the framework of Self-Determination Theory (SDT), basic psychological need satisfaction predicts quality of motivation which in turn predicts study efforts. Although studies focusing on interpersonal differences have repeatedly shown this sequence of relations, only a few have examined its stability at the intra-personal level. In this…
Descriptors: Self Determination, Learning Strategies, Psychological Needs, Prediction
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Yuan Xiong – Asia-Pacific Education Researcher, 2025
Although EFL engagement has gained increasing attention, factors and mechanisms of EFL writing engagement have been rarely explored. Inspired by the ecological systems theory, the current study aims to explore the joint effect of perceived classroom environment, socio-emotional learning competence and motivation regulation strategy on writing…
Descriptors: Classroom Environment, Social Emotional Learning, Second Language Learning, English (Second Language)
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Çetin, Baris – International Online Journal of Education and Teaching, 2022
In this study, it was aimed to determine the level of the relationship between university students' intrinsic motivation scores towards self-regulated learning, their intrinsic motivation scores towards university, and their academic achievements. The cross-section scanning model was used in the study. The participants of the study consisted of 30…
Descriptors: Student Motivation, Self Control, Academic Achievement, Undergraduate Students
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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
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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
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Paul Sun, Peijian; Yang, Qing; Hou, Xiaoming – Journal of Educational Research, 2023
This study examined young learners' motivation and strategy use for Chinese-as-a-foreign-language (L2 Chinese) learning in New Zealand. A total of 1157 primary school students from 29 primary schools were recruited for the study. The results revealed that primary school young learners' overall motivation and strategy use for L2 Chinese learning…
Descriptors: Foreign Countries, Chinese, Second Language Learning, Second Language Instruction
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