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Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
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Wang, Peipei; Li, Lin; Wang, Ru; Xie, Yifan; Zhang, Jianwei – Education and Information Technologies, 2022
Planning course study is critical to facilitate strategic intervention in education. As a significant basis of planning course study, student performance prediction aims to utilize students existing relevant information to predict their future learning performance including course grades, course failure, grade point average, etc. We target course…
Descriptors: Planning, Prediction, Academic Achievement, Grades (Scholastic)
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Hameed, Irfan; Haq, Mirza A.; Khan, Najmonnisa; Zainab, Bibi – On the Horizon, 2022
Purpose: Social media has shown a substantial influence on the daily lives of students, mainly due to the overuse of smartphones. Students use social media both for academic and non-academic purposes. Due to an increase in the usage of social media, academicians are now confronting pedagogical issues, and the question arises as to whether the use…
Descriptors: Social Media, Use Studies, Academic Achievement, Cognitive Processes
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de Bruin, Anique B. H.; Biwer, Felicitas; Hui, Luotong; Onan, Erdem; David, Louise; Wiradhany, Wisnu – Educational Psychology Review, 2023
Desirable difficulties are learning conditions that are often experienced as effortful, but have a positive effect on learning results and transfer of knowledge and skills (Bjork & Bjork, 2011; Bjork, 1994). Learners often do not appreciate the beneficial effects of desirable difficulties, and the negative experiences of high effort and…
Descriptors: Transfer of Training, Difficulty Level, Learning Motivation, Personal Autonomy
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Azhar, Aqil Zainal; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2022
This paper studies the use of Reinforcement Learning (RL) policies for optimizing the sequencing of online learning materials to students. Our approach provides an end to end pipeline for automatically deriving and evaluating robust representations of students' interactions and policies for content sequencing in online educational settings. We…
Descriptors: Reinforcement, Instructional Materials, Learning Analytics, Policy Analysis
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Mersin, Gariban; Köprülü, Fatma; Öznacar, Behcet – Pegem Journal of Education and Instruction, 2022
In this study, it is aimed to evaluate the positive or negative effects of the communication model applied in primary school classrooms on the academic success of Syrian immigrant students from the perspective of teachers and students. Therefore, the case study method, which is a qualitative research method, was preferred. The study group of the…
Descriptors: Foreign Countries, Elementary School Teachers, Elementary School Students, Immigrants
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Allen, Jeff; Mattern, Krista – Educational Measurement: Issues and Practice, 2019
We examined summary indices of high school performance (coursework, grades, and test scores) based on the graded response model (GRM). The indices varied by inclusion of ACT test scores and whether high school courses were constrained to have the same difficulty and discrimination across groups of schools. The indices were examined with respect to…
Descriptors: High School Students, Academic Achievement, Secondary School Curriculum, Difficulty Level
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Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
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Chi, Xianglan; Liu, Jinlan; Bai, Yin – Higher Education: The International Journal of Higher Education Research, 2017
China's higher education system has been marked by dramatic growth since 1999. In response to calls for quality assurance, substantial efforts have been made to improve collegiate environments and enhance student learning. However, only limited empirical research has been conducted to investigate the effects of the college environment on student…
Descriptors: College Environment, Student Participation, Intellectual Development, Foreign Countries
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Huang, Xiaoxia – Interactive Learning Environments, 2017
Previous research has indicated the disconnect between example-based research focusing on worked examples (WEs) and that focusing on modeling examples. The purpose of this study was to examine and compare the effect of four different types of examples from the two separate lines of research, including standard WEs, erroneous WEs, expert (masterly)…
Descriptors: Teaching Methods, Problem Solving, Academic Achievement, Cognitive Processes
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Park, Sanghoon – Educational Technology & Society, 2015
Animated pedagogical agents have become popular in multimedia learning with combined delivery of verbal and non-verbal forms of information. In order to reduce unnecessary cognitive load caused by such multiple forms of information and also to foster generative cognitive processing, multimedia design principles with social cues are suggested…
Descriptors: Undergraduate Students, Computer Literacy, Cues, Cognitive Processes
Hilk, Caroline Lual – ProQuest LLC, 2013
This series of meta-analyses investigates the effects of social interdependence (cooperative, competitive, and individualistic learning structures) on achievement and peer relationships among college students. This study quantitatively synthesized the literature on the effects of social interdependence on achievement and peer relationship outcomes…
Descriptors: College Students, Academic Achievement, Peer Relationship, Learning Strategies
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Chen, Min; Yu, Sheng Quan; Chiang, Feng Kuang – Interactive Learning Environments, 2017
Most ubiquitous learning researchers use resource recommendation and retrieving based on context to provide contextualized learning resources, but it is the kind of one-way context matching. Learners always obtain fixed digital learning resources, which present all learning contents in any context. This study proposed a dynamic ubiquitous learning…
Descriptors: Electronic Learning, Educational Technology, Instructional Materials, Models
Coyle, Jennifer; Morrison, Mary; Thomas, Della – pepnet 2, 2017
In 2011, pepnet 2 launched the Deaf Learner Initiative (DLI). The goals of this initiative were to examine the existing paradigms, programs, pedagogy and relevant research related to the educational and vocational needs of deaf learners. The DLI was comprised of a variety of activities including the Deaf Learner Symposium, the creation of three…
Descriptors: Deafness, Young Adults, Hearing Impairments, Evidence Based Practice
ConnectEd: The California Center for College and Career, 2014
The Behaviors of Learning and Teaching Continuum (BLT) defines key characteristics of student and adult learning and teaching practice within Linked Learning pathways. It illustrates how these behaviors and actions might be observed both inside and beyond the classroom.
Descriptors: Cooperative Learning, Teaching Methods, Student Centered Learning, Outcomes of Education
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