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Ruben Till Wittrin; Benny Platte; Christian Roschke; Marc Ritter; Maximilian Eibl; Carolin Isabel Steiner; Volker Tolkmitt – IEEE Transactions on Learning Technologies, 2024
Virtual environments open up far-reaching possibilities with respect to knowledge impartation. Nevertheless, they have the potential to negatively influence learning behavior. As a possible positive determinant, especially in the digital context, the moment "game" can be listed. Accordingly, previous studies prove an overall positive…
Descriptors: Game Based Learning, Learning Motivation, Academic Achievement, Electronic Learning
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Xi Wang; Minhao Dai; Kathleen M. Short – International Journal of STEM Education, 2024
Background: Motivation is the inherent belief to guide students learning goals and behaviors to make continuous efforts and strengthen learning outcomes. Previous research reported the positive impacts of learning motivation on student success, but there have been limited efforts in systematically and structurally studying different types of…
Descriptors: Undergraduate Students, Engineering Education, Learning Motivation, Success
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Yusuf Yildirim; Gökhan Alptekin; Hakan Altinpulluk; Hakan Kilinc; Onur Yumurtaci – Education and Information Technologies, 2024
This study aims to determine the relationship between the loneliness levels and intrinsic motivation levels felt by distance learners in a virtual environment. To this end, predictive design was used as a quantitative research method. The results obtained from 330 distance learner participants revealed a medium level negative statistically…
Descriptors: Social Isolation, Learning Motivation, Distance Education, Electronic Learning
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Hengtao Tang; Yu Bao – Interactive Learning Environments, 2024
Self-regulated learning is a crucial skill that may enable massive numbers of learners to thrive in MOOCs, but MOOC learners differ in their self-regulated learning skills, as low self-regulated learners need support to regulate their learning process in MOOCs. Designing self-regulated learning scaffoldings builds upon an accurate appraisal of…
Descriptors: Self Management, Profiles, MOOCs, Land Grant Universities
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Juiching Chiang – Education and Information Technologies, 2025
The purpose of this study was to implement an effective online learning environment based on self-determination theory (SDT) and to develop eighteen main elements of the conceptual environment. The significant difference between SDT and other motivation theories is that SDT emphasizes on how to internalize motivation, and it explores the…
Descriptors: Self Determination, Electronic Learning, Need Gratification, Personal Autonomy
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Francesco Poli; Marlene Meyer; Rogier B. Mars; Sabine Hunnius – Child Development, 2025
Humans are driven by an intrinsic motivation to learn, but the developmental origins of curiosity-driven exploration remain unclear. We investigated the computational principles guiding 4-year-old children's exploration during a touchscreen game (N = 102, F = 49, M = 53, primarily white and middle-class, data collected in the Netherlands from…
Descriptors: Foreign Countries, Young Children, Learning Motivation, Discovery Learning
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Sri Wilda Albeta; Jimmi Copriady; Yustina; Radjawali Usman Rery – Education and Information Technologies, 2025
The present study aims to explore the factors influencing learning satisfaction in blended learning implementation. The two variables are attitude and motivation. In addition, this study aims to explain the difference between students' attitudes, motivation, and learning satisfaction based on gender and the scientific field. A number of 488…
Descriptors: Learning Motivation, Blended Learning, Student Attitudes, Student Satisfaction
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Ting-Ting Wu; Edi Sarwono; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Virtual laboratories are used to supplement or even replace physical laboratories in engineering education. Although these virtual laboratories allow students to learn foundational experimental skills, they do not provide the learners with the chance to develop higher-order thinking skills (HOTS). Computational thinking (CT) is an…
Descriptors: Computation, Thinking Skills, Computer Simulation, Laboratories
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João Filipe Lacerda Matos; Vitor Hugo Silva; Paulo Silvestre; António Manuel Gouveia Pinto – International Journal of Lifelong Education, 2025
The present study aimed to analyse the relationship between life satisfaction (SWL) and lifelong learning (LLL), when mediated by intrinsic motivation (IM), in a Portuguese 55+ generation group. For this purpose, it was necessary to adapt and validate the MSSP Lifelong Learning Scale (MSSP -- LLL). The investigation is quantitative in nature, with…
Descriptors: Life Satisfaction, Lifelong Learning, Older Adults, Measures (Individuals)
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Ilona Kocvarová; Jan Kalenda; Jitka Vaculíková; Zuzana Neupauer; Ruženka Šimonji Cernak; Anna Wloch – Higher Education Quarterly, 2024
The article focuses on adaptation and validation of the Academic Motivation Scale questionnaire (AMS-28) in higher education in four Eastern European countries: Czechia, Slovakia, Serbia, and Poland. The research was conducted with a total of 1711 respondents. We examined the construct validity of AMS-28 including measurement invariance and…
Descriptors: Foreign Countries, Learning Motivation, Measures (Individuals), Validity
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Qian Fu; Xinyi Zhou; Yafeng Zheng; Zhenyi Wang – Journal of Computer Assisted Learning, 2025
Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…
Descriptors: Algorithms, Visualization, Elementary School Students, Learning Motivation
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Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
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Ayse Eliüsük Bülbül; Serap Yilmaz Özelçi – Education and Information Technologies, 2025
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher identities while also examining the mediating role of mobile learning in this relationship. Additionally, it explores the impact of pre-service teachers' digital literacy and learning motivations on their…
Descriptors: Mediation Theory, Electronic Learning, Learning Motivation, Preservice Teachers
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Takatoyo Umemoto; Tsutomu Inagaki – Journal of Education and Learning, 2025
This study aimed to examine the reciprocal relationship between motivation and engagement in out-of-class learning among Japanese undergraduates by using a cross-lagged panel model. Two online surveys were conducted with 293 university students in Japan. This study measured motivation and engagement with regard to out-of-class tasks (homework) for…
Descriptors: Learning Motivation, Learner Engagement, Undergraduate Students, Foreign Countries
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Kelsey S. Bitting; Jessica A. Merricks – Environmental Education Research, 2025
Undergraduates often express that they feel powerless to help solve important challenges such as climate change and environmental degradation, consistent with the broader phenomena of ecoparalysis. Viewed through value-expectancy frameworks for motivation, value for an outcome and self-efficacy to achieve it lead to goals, which motivate…
Descriptors: Undergraduate Students, Environmental Education, Problem Solving, Climate
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