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Showing 1 to 15 of 175 results Save | Export
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Robi Hendra; Akhmad Habibi; Ahmad Ridwan; Dian Arisandy Eka Putra Sembiring; Tommy Tanu Wijaya; Denny Denmar; I Wayan Widana – Open Education Studies, 2025
The current study examines and evaluates the direct influence of perfectionism, self-efficacy, academic stress, and workload on students' learning outcomes. The study applied a quantitative survey approach. We implemented a survey as the data collection method. A sample size of 218 students was determined using *G-power to determine the sample…
Descriptors: Foreign Countries, Personality Traits, Self Efficacy, Anxiety
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Meng Qi Wu; Violet V. Cieslik; Safoura Askari; Allyson F. Hadwin; Moira Hood – Journal of Psychoeducational Assessment, 2024
Research that uses self-report measures to examine the complexity of self-regulated learning (SRL) and academic challenges for adolescents is limited. This study examined the psychometric property of the Self-Regulated Learning Profile and Self-Diagnostic (SRL-PSD) instrument and addressed the multi-components of SRL and academic challenges for…
Descriptors: Foreign Countries, Middle School Students, Independent Study, Learning Processes
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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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Goetz, Thomas; Bieleke, Maik; Yanagida, Takuya; Krannich, Maike; Roos, Anna-Lena; Frenzel, Anne C.; Lipnevich, Anastasiya A.; Pekrun, Reinhard – Journal of Educational Psychology, 2023
The emotion of boredom has sparked considerable interest in research on teaching and learning, but boredom during tests and exams has not yet been examined. Based on the control-value theory of achievement emotions, we hypothesized that students may experience significant levels of boredom during testing ("test boredom"; Hypothesis 1)…
Descriptors: Psychological Patterns, Attention Control, Academic Achievement, Difficulty Level
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Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
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Shi, Yinghui; Yang, Huiyun; Yang, Zongkai; Liu, Wei; Wu, Di; Yang, Harrison Hao – Australasian Journal of Educational Technology, 2022
This study investigated the effects of note-taking styles on college students' learning achievement and cognitive load in a 6-week lecture-based computer network course. Fortytwo students were randomly assigned into one of three groups, which consisted of collaborative note-taking, laptop note-taking, and traditional longhand note-taking. The…
Descriptors: Notetaking, College Students, Academic Achievement, Cognitive Processes
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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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Ce Song – European Journal of Education, 2025
This study examines the role of AI-powered learning tools in influencing cognitive load, well-being and academic success among music education students, with a focus on technology acceptance as a key factor. Data were collected through a random sampling of 454 Chinese music students (192 males, 262 females) aged 18-24, with varying levels of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Music Education
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Fred Awaah; Peter Akinsola Okebukola; Juma Shabani; Solomon Yeboah; Olasunkanmi Adio Gbeleyi; Heloo Sefiamor Emmanuella – Teaching Public Administration, 2024
Student difficulty in public administration has witnessed some writings within the African context. Although these studies are emerging, there seems to be minimal research on the influence of school libraries on students' understanding of public administration. This gap in the public administration literature precludes educational managers from…
Descriptors: Foreign Countries, Undergraduate Students, Public Administration Education, School Libraries
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Sathiyaseelan Balasundaram; Jain Mathew; Sridevi Nair – Journal of Learning for Development, 2024
This study aimed at evaluating the effectiveness of microlearning in higher education. The sample consisted of first-year MBA students, and a post-test control group design was used to assess the effectiveness of a microlearning module. The results indicated that the use of microlearning was significantly related to learning performance and…
Descriptors: Learning Activities, Electronic Learning, Learning Modules, Graduate Students
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Hui-Chun Chu; Chia-Ying Hsu; Chun-Chieh Wang – Educational Technology & Society, 2025
In ancient poetry courses, students are expected to learn literary skills and the ability for interpreting ancient poems, from which they can gain insight into the historical context and appreciate the beauty of the poems. However, due to the gaps between ancient and modern living contexts, students often encounter difficulties in comprehending…
Descriptors: Poetry, History, Comprehension, Artificial Intelligence
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Abd Aziz, Nurul Nadia; Aziz, Mohd Amar; Abd Rahman, Noor Amira Syazwani – Journal of Applied Research in Higher Education, 2023
Purpose: This study aimed to explore the technostress effects on the students' expectancy in their academic performance. Three main factors were used as predictors, namely techno-complexity (TC), techno-insecurity (TIS) and techno-overload (TO), to measure the students' performance expectancy via the mediating effects of student satisfaction (SS).…
Descriptors: Student Satisfaction, Technology Uses in Education, Anxiety, Academic Achievement
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Shin, Yoonhee; Jung, Jaewon; Zumbach, Joerg; Yi, Eunseon – Journal of Educational Computing Research, 2023
This study explores the effects of worked-out examples and metacognitive scaffolding on novice learners' knowledge performance, cognitive loads, and self-regulation skills in problem-solving programming. 126 undergraduate students in a computer programming fundamentals course were randomly assigned to one of four groups: (1) task performance with…
Descriptors: Problem Solving, Metacognition, Scaffolding (Teaching Technique), Programming
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Yew-Jin Lee; Dongsheng Wan – Educational Studies, 2024
Educators have long questioned why some students can experience achievement more easily in some school subjects/curriculum, but not in others. We argue that learners cannot ignore navigating two key features inherent within every curriculum--its cognitive demands as well as its opportunities for access to knowledge that are the twin foci of this…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Difficulty Level
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Nicoleta Iacobescu; Simona Sava; Anca Lu?trea – Studies in the Education of Adults, 2024
Transition is about change, and change comes with its challenges. School transitions are challenging events in students' educational paths, with possible negative effects on their development. The transition from middle school to high school is one of the most difficult, generating many school dropouts. Recovering from disrupted educational…
Descriptors: Teacher Attitudes, Student Adjustment, Middle School Students, High School Students
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