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Cai, Yuyang; King, Ronnel B.; McInerney, Dennis M. – Journal of Experimental Education, 2023
Studies on utility value, metacognitive strategies, and achievement have usually examined these variables in a static manner. However, each of these variables changes across time and the relationships among them are dynamic. Hence, studies that examine changes in individual trajectories (change in each variable over time) and concurrent…
Descriptors: Metacognition, Learning Strategies, Academic Achievement, Secondary School Students
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Calafato, Raees – Asian-Pacific Journal of Second and Foreign Language Education, 2023
Research on the relationship between students' language learning motivation (LLM), language learning strategies (LLS), self-efficacy beliefs (SEB), and achievement in non-European languages has been both limited and overwhelmingly cross-sectional, often with little attention paid to their multilingualism. Combining complex dynamic systems and…
Descriptors: College Students, Learning Motivation, Self Efficacy, Student Attitudes
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Kotluk, Nihat; Tormey, Roland – Journal of Engineering Education, 2023
Background: There has been an increase in interest in emotion in engineering and science ethics education. There is also evidence that emotional content in case studies may improve students' learning and enhance awareness, understanding, and motivation concerning ethical issues. Despite these potential benefits, however, emotions' relationship to…
Descriptors: Ethics, Engineering Education, Moral Values, Case Studies
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Salmi, Hannu S.; Thuneberg, Helena; Bogner, Franz X. – Interactive Learning Environments, 2023
Learning intervention based on a "Mars and Space" exhibition was designed according to STEAM-education (Science, Technology, Engineering, Art and Mathematics) principles and practices in order to bridge the gap between formal and informal learning. The cognitive learning of 12-year-old students in Finland ("N" = 306) showed a…
Descriptors: Elementary School Students, Foreign Countries, STEM Education, Art Education
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Kiss, Tamas; Pack, Austin – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2023
Motivational factors have long attracted the attention of researchers and educators with their potential to shed light on what drives effective language learning. Although current research now views language learning motivation as a Complex Dynamic System (CDS), there is a dearth of empirical studies utilizing network analysis to understand how…
Descriptors: Network Analysis, Second Language Learning, Second Language Instruction, Teaching Methods
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Orakci, Senol – Psychology in the Schools, 2023
This study investigates the structural relationship among academic motivation, academic self-efficacy (ASE), problem solving skills (PSS), creative thinking skills (CRTS), and critical thinking skills (CTS). Structural Equation Model was utilized to compute the relationships between these variables. The sample of the study was comprised of 575…
Descriptors: Preservice Teachers, Foreign Countries, Learning Motivation, Academic Achievement
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Meihua Liu – SAGE Open, 2023
Guided by the complex dynamic systems theory, the present study explored university students' dynamic motivation to learn Chinese as a second language and its interaction with their learning experiences during a semester while studying in China. The study was conducted in a state-owned university in China and collected data at two time points of…
Descriptors: Language Acquisition, Chinese, Learning Motivation, Student Motivation
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Gurcan, Fatih; Erdogdu, Fatih; Cagiltay, Nergiz Ercil; Cagiltay, Kursat – Education and Information Technologies, 2023
Student engagement is critical for both academic achievement and learner satisfaction because it promotes successful learning outcomes. Despite its importance in various learning environments, research into the trends and themes of student engagement is scarce. In this regard, topic modeling, a machine learning technique, allows for the analysis…
Descriptors: Learner Engagement, Educational Research, Educational Trends, Learning Motivation
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Makonye, Judah P.; Moodley, Nageshwari Pam – ZDM: Mathematics Education, 2023
In interdisciplinary Science, Technology, Engineering and Mathematics (STEM) education, empirical evidence is required that points to the educational contribution of mathematics. Specifically, researchers are not clear how mathematics weaves itself through the STEM education meta-discourse. This article contributes to pedagogical practices in…
Descriptors: Mathematics Education, STEM Education, Interdisciplinary Approach, Mathematics Teachers
Romines, Melissa Deanne – ProQuest LLC, 2021
Prisons within the United States contain a large population of inmates with low levels of education. Contributing factors of a successful release from prison have included participation in educational services during incarceration as recidivism rates increase without receiving additional skill sets afforded to inmates. The self-system model of…
Descriptors: Correctional Institutions, Institutionalized Persons, Males, Adults
Shalini Sahoo; Roberto J. Millar; Takashi Yamashita; Phyllis A. Cummins – Grantee Submission, 2021
Research on factors associated with motivation to learn (MtL) is limited, particularly among middle-aged adults and immigrants. This study examines educational attainment, literacy skills, and nativity (foreign-born vs. native-born) as predictors of MtL in middle-aged adults living in the U.S. Nationally representative data of middle-aged adults…
Descriptors: Educational Attainment, Literacy, Learning Motivation, Lifelong Learning
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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
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Soonri Choi; Soomin Kang; Kyungmin Lee; Hongjoo Ju; Jihoon Song – Contemporary Educational Technology, 2024
This study proposes that the gestures of an agent tutor in a multimedia learning environment can generate positive and negative emotions in learners and influence their cognitive processes. To achieve this, we developed and integrated positive and negative agent tutor gestures in a multimedia learning environment directed by cognitive gestures.…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Processes, Difficulty Level
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Xiaodong Huang; Chengche Qiao – Science & Education, 2024
Artificial intelligence is the unification of philosophy, cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, and uncertainty theory. Therefore, it is feasible and necessary to utilize STEAM (Science, Technology, Engineering, Liberal Arts, and Mathematics) education to learn artificial…
Descriptors: Thinking Skills, Artificial Intelligence, STEM Education, Art Education
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Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
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