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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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Robert Kirkpatrick; Junko Kirkpatrick; Ali Derakhshan – Asian-Pacific Journal of Second and Foreign Language Education, 2024
Given the importance of academic motivation, numerous inquiries have scrutinized the antecedents of this psycho-emotional variable in various educational environments. Nonetheless, the role of students' attitudes in their academic motivation has remained elusive. Put simply, it is unclear whether students' attitudes can make positive changes in…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Elementary School Students
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Morten Thomsen; Arjen van Dalen; Silje Kristiansen; David Nicolas Hopmann – Applied Environmental Education and Communication, 2024
As research of benefits and detriments of pesticides and biocides progresses, people's knowledge needs to be updated. This study takes an audience perspective on how practitioners may improve communication. Through online focus group discussions of how and why Danes acquire knowledge of pesticides and biocides, we find that focusing on improving…
Descriptors: Foreign Countries, Poisoning, Manufacturing Industry, Chemistry
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Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
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Flávia Lucena Barbosa; Jairo Eduardo Borges-Andrade – Journal of Workplace Learning, 2024
Purpose: This study aims to investigate the impact of Hofstede's six national cultural dimensions on informal learning behaviors (ILBs) and how they moderate the prediction of these behaviors by workplace interaction (WI), autonomy (WA) and readiness to learn (RtL). Design/methodology/approach: Cultural scores were extracted from The Culture…
Descriptors: Informal Education, Cultural Context, Nationalism, Learning Processes
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Micheal Crouch – New Directions for Community Colleges, 2024
This article examines how personal characteristics contribute to the success of homeschooled students in dual enrollment programs and their transition to higher education, the workforce, or the military. It emphasizes the effectiveness of metacognitive strategies in improving academic achievement and challenges misconceptions about socialization…
Descriptors: Home Schooling, Academic Achievement, Dual Enrollment, Success
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Kaitlyn M. Sorochka; Vecihi S. Zambak – Middle Grades Research Journal, 2024
Recent literature justifies the use of virtual learning in supporting middle-grades students' mathematical knowledge development and emphasizes the critical role of motivation in learning (Lo & Hew, 2020; Murphy et al., 2020; Spitzer & Musslick, 2021). Intrinsic and extrinsic motivation both play a role in learning for middle-grades…
Descriptors: Middle School Mathematics, Middle School Students, Electronic Learning, Student Motivation
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Zhihui Zhang; Xiaomeng Huang – Education and Information Technologies, 2024
Blended learning combines online and traditional classroom instruction, aiming to optimize educational outcomes. Despite its potential, student engagement with online components remains a significant challenge. Gamification has emerged as a popular solution to bolster engagement, though its effectiveness is contested, with research yielding mixed…
Descriptors: Educational Games, Blended Learning, Learning Motivation, Language Proficiency
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Carolien A. N. Knoop-van Campen; Joep van der Graaf; Anne Horvers; Rianne Kooi; Rick Dijkstra; Inge Molenaar – Journal of Computer Assisted Learning, 2024
Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…
Descriptors: Elementary School Students, Grade 5, Educational Technology, Technology Uses in Education
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Ruo-Yu Li; Jerry Chih-Yuan Sun – Interactive Learning Environments, 2024
Due to the features of immersive learning and without the restrictions of time and place, virtual reality (VR) is commonly used in learning areas. For investigating functional design in the VR learning environment, previous literature proposed a series of theoretical models and strategies without considering the key factors for their development.…
Descriptors: Instructional Design, Computer Simulation, Expertise, Attitudes
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