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Showing 1 to 15 of 32 results Save | Export
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Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
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Fangzheng Zhao; Richard E. Mayer; Nicoletta Adamo-Villani; Christos Mousas; Minsoo Choi; Luchcha Lam; Magzhan Mukanova; Klay Hauser – Journal of Educational Computing Research, 2024
This study examined how well people can recognize and relate to animated pedagogical agents of varying ethnicities/races and genders. For both Study 1 (realistic-style agents) and Study 2 (cartoon-style agents), participants viewed brief video clips of virtual agents of varying racial/ethnic categories and gender types and then identified their…
Descriptors: Race, Sex, Ethnicity, Animation
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Durak, Hatice Yildiz – Journal of Educational Computing Research, 2020
Learning the basic concepts of programming and its foundations is considered as a challenging task for students to figure out. It is a challenging process for lecturers to learn these concepts, as well. The current literature on programming training abounds with the examples of a wide range of methods employed. Within this context, one of the…
Descriptors: Educational Technology, Technology Uses in Education, Programming, Teaching Methods
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Cheng, Li; Pastore, Raymond; Ritzhaupt, Albert D. – Journal of Educational Computing Research, 2022
With the explosion of multimedia learning environments and the use of digital time-compression algorithms in common software and hardware, we need guidance on how to use this technology without sacrificing quality and learning outcomes. The purpose of the meta-analysis is to examine the existing empirical research literature to derive an overall…
Descriptors: Meta Analysis, Multimedia Instruction, Teaching Methods, Feedback (Response)
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Salmerón, Ladislao; Llorens, Ana – Journal of Educational Computing Research, 2019
During the last decade, several studies have proposed and tested different instructional methods for teaching digital reading strategies to young students. In this study, we have tested the effectiveness of a program combining eye-movements modeling examples (EMMEs) and contrasting cases to instruct ninth-grade students how to plan, evaluate, and…
Descriptors: Eye Movements, Grade 9, Electronic Publishing, Reading Comprehension
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Hardway, Christina; Seitchik, Allison E.; Kurdziel, Laura B. F.; Stroud, Michael J.; LaTorre, Joseph T.; LeBert, Cassidy – Journal of Educational Computing Research, 2018
This study examined whether a video illustration of a complex phenomenon promoted learner interest, perceived comprehensibility, and better learning in online- and classroom-based contexts. In the first study, undergraduate participants (N = 101) viewed learning materials which contained a video only, a video and textual explanation, or a textual…
Descriptors: Video Technology, Student Interests, Undergraduate Students, Teaching Methods
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Schroeder, Noah L.; Siegle, Robert F.; Verma, Vipin; Craig, Scotty D. – Journal of Educational Computing Research, 2022
Virtual humans are virtual characters within multimedia learning environments designed to aid the learning process. While there is a large variety of research examining how to design the physical appearance of the character or the teaching strategies it should embody, there is comparatively little work around the design of the narrative the…
Descriptors: Video Technology, Food, Genetics, Narration
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Jo, Jaechoon; Yu, Wonhui; Koh, Kyu Han; Lim, Heuiseok – Journal of Educational Computing Research, 2018
We propose a minimum learning judgment system that is appropriate for online learning environments, and we verify this minimum learning judgment system through various experiments. By focusing on the learning effort, this system can easily and quickly determine whether learners have exerted the minimum effort required for learning. To do this, the…
Descriptors: Educational Games, Educational Technology, Technology Uses in Education, Word Recognition
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Karabulut-Ilgu, Aliye; Yao, Suhan; Savolainen, Peter; Jahren, Charles – Journal of Educational Computing Research, 2018
The flipped-classroom approach has gained increasing popularity and interest in engineering education. The purpose of this study was to investigate (a) student perspectives on the flipped-classroom approach in a transportation-engineering course and (b) how students used the in-class time dedicated to collaborative problem solving. To this end,…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Video Technology
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Ching-Yi Chang; Intan Setiani; Jie Chi Yang – Journal of Educational Computing Research, 2025
Traditional teaching methods often limit interactive learning, negatively impacting students' motivation and learning achievement. Moreover, fostering collaborative awareness and problem-solving skills is crucial for developing the core competencies of future nursing professionals. To address these challenges, this study proposed an escape…
Descriptors: Educational Games, Puzzles, Computer Assisted Instruction, Electronic Learning
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Sezer, Baris – Journal of Educational Computing Research, 2017
This study examined the effect on the learning and motivation of students of a flipped classroom environment enriched with technology. A mixed research design using a pretest or posttest experimental model, combined with qualitative data, was conducted in a public middle school in Turkey for 2 weeks (three class hours) within a science course.…
Descriptors: Foreign Countries, Science Instruction, Technology Uses in Education, Educational Technology
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Fidan, Mustafa; Gencel, Nurgun – Journal of Educational Computing Research, 2022
This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…
Descriptors: Academic Achievement, Learning Motivation, Video Technology, Comparative Analysis
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Song, Yanjie; Kong, Siu-Cheung – Journal of Educational Computing Research, 2017
The study aims at investigating university students' acceptance of a statistics learning platform to support the learning of statistics in a blended learning context. Three kinds of digital resources, which are simulations, online videos, and online quizzes, were provided on the platform. Premised on the technology acceptance model, we adopted a…
Descriptors: Academic Achievement, Technology Uses in Education, Statistics, College Students
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Fonseca, David; Navarro, Isidro; de Renteria, Isabela; Moreira, Fernando; Ferrer, Álvaro; de Reina, Oriol – Journal of Educational Computing Research, 2018
The main aim of this study is to assess the spatial perception of historical world heritage buildings using wearable technologies in an educational framework. The proposal seeks to complement the real experience of visiting the Casa Batlló Museum, an emblematic space (1904-1906, Antonio Gaudí, Barcelona). The main innovative feature of the project…
Descriptors: Computer Simulation, Historic Sites, Museums, Program Descriptions
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Zhang, Zhaoli; Li, Zhenhua; Liu, Hai; Cao, Taihe; Liu, Sannyuya – Journal of Educational Computing Research, 2020
Online learning engagement detection is a fundamental problem in educational information technology. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real time. To improve the accuracy of learning engagement detection, we have collected two aspects of…
Descriptors: Learner Engagement, Learning Analytics, Nonverbal Communication, Pattern Recognition
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