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Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
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O'Grady-Jones, Mary; Grant, Michael M. – Gifted Child Today, 2023
The purpose of this research was to describe the impact of digital game building on fourth grade gifted and talented students' problem-solving, creativity, and collaboration skills. Increasingly, there has been a call to involve students in real-world experiences through projects that explore authentic issues using technology. Game design-based…
Descriptors: Academically Gifted, Talent, Computer Games, Educational Games
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May, Fiona; Schaffer, Gary E.; Allen, Kelly-Ann; Berger, Emily; Hagen, Alexa von; Hill, Vivian; Morris, Zoe A.; Prior, Stefanie; Summers, Dianne; Wurf, Gerald; Reupert, Andrea – School Psychology International, 2023
COVID-19 presented a range of challenges to the delivery of school psychology services in countries around the world. The current study aimed to investigate the practices of school psychologists from the United States of America, Australia, Germany, Canada, and the United Kingdom, including changes to practice and exploration of the factors that…
Descriptors: Foreign Countries, School Psychology, School Psychologists, COVID-19
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Bajracharya, Biju; Khan, Mohammad Shoeb – Information Systems Education Journal, 2023
The Autonomous Vehicles (AV) are a self-driving vehicle capable of sensing its environment and operating with minimal or no human intervention converting into a fully or partially automated vehicle. These automated vehicles have great potential to revolutionize the automotive industry and our daily lives. Thus, they are receiving a lot of…
Descriptors: Motor Vehicles, Interdisciplinary Approach, Computer Science Education, Artificial Intelligence
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Saylan, Esin; Kokoç, Mehmet; Tatli, Zeynep – Waikato Journal of Education, 2023
The aim of this study was to examine the current trends and main findings of the empirical computer assisted foreign language learning studies. The database, Web of Science, was reviewed and a total of 36 studies between 2000 and 2020 were analysed. The systematic analysis was performed with the content analysis method. The content of the reviewed…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Research Reports
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Dolowitz, Annetta; Collier, Jessica; Hayes, Aleshia; Kumsal, Cem – TechTrends: Linking Research and Practice to Improve Learning, 2023
This case study details microlearning content development, testing, and implementation of the NATO Headquarters Supreme Allied Command Transformation (HQ SACT) e-Learning Networking App (NeNA) conducted by an AECT microlearning consulting team. NeNA was designed to provide microlearning "just-in-time" content, to create socialization…
Descriptors: Case Studies, Computer Software, Armed Forces, International Organizations
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Zamborova, Katarina; Klimova, Blanka – Contemporary Educational Technology, 2023
The article presents the research of empirical mixed methods on the use of a modern mobile reading app compared to traditional forms of teaching in English business classes in higher education in Slovakia. The research belongs to the theoretical frame of the mobile assisted language learning field that has generated an interest since the early…
Descriptors: Business English, English for Special Purposes, Computer Software, Computer Assisted Instruction
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Bovolenta, Giulia; Husband, E. Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Prediction in language comprehension has become a key mechanism in recent psycholinguistic theory, with evidence from lexical prediction as a primary source. Less work has focused on whether comprehenders also make structural predictions above the lexical level. Previous research shows that processing is facilitated for syntactic structures which…
Descriptors: Prediction, Verbs, Italian, Linguistic Input
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Rao, Nirmala; Chan, Stephanie W. Y.; Su, Yufen; Mirpuri, Sheena; Richards, Ben; Sun, Jin; Li, Zhang; Ip, Patrick – Early Child Development and Care, 2023
Changes in physical activity levels and increases in screen time across different cohorts may affect young children's motor skill development (MSD). This study examined cohort differences in MSD in China. Four-year-olds living in Shanghai and in Guizhou province were assessed, in individual sessions, in 2013 (n = 230) and in 2017 (n = 446).…
Descriptors: Foreign Countries, Young Children, Motor Development, Physical Activity Level
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Verdecchia, Roberto; Lago, Patricia – IEEE Transactions on Education, 2023
Contribution: This article contributes empirical insights on hybrid teaching of software engineering courses. Results include the systematic analysis of hybrid teaching attendance and interaction, perception of hybrid teaching, and grade distributions. Results are synthesized into eight evidence-based guidelines. Background: Hybrid teaching, i.e.,…
Descriptors: Engineering Education, Computer Science Education, Computer Software, Masters Programs
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Žan Rode; Gregor Torkar – International Journal of Educational Methodology, 2023
The iNaturalist application has been gaining traction in both biodiversity research and education. Increasingly more research is being carried out, looking into using the iNaturalist application in biology education, to promote biodiversity and educate students about this topic. We used the PRISMA systematic literature review method to examine…
Descriptors: Computer Oriented Programs, Computer Software, Handheld Devices, Educational Technology
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Misnawati Misnawati; Yusriadi Yusriadi; Saidna Zulfiqar Bin Tahir – MEXTESOL Journal, 2023
It is commonly accepted that educators who prepare to teach materials to meet student needs should cover all skills in English, such as speaking, listening, reading, and writing with additional grammar and vocabulary according to the level of students. Because technology has developed rapidly, educators can design technologically friendly teaching…
Descriptors: Linguistic Input, English (Second Language), Second Language Learning, Second Language Instruction
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Mamedova, Larisa; Rukovich, Alexander; Likhouzova, Tetiana; Vorona-Slivinskaya, Lubov – Education and Information Technologies, 2023
The World Health Organization announced the COVID-19 pandemic, which led to considerable disruption of the global education system and required an early adaptation of the educational process. In addition to the resumption of the educational process, it was necessary to preserve the academic performance of students of higher educational…
Descriptors: Academic Achievement, Engineering Education, Chemistry, Foreign Countries
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Laksmiwati, Pasttita Ayu; Hidayah, Miftahul; Schmidthaler, Eva; Prahmana, Rully Charitas Indra; Sabitzer, Barbara; Lavicza, Zsolt – Journal on Mathematics Education, 2023
Nowadays, digital technologies are crucial in supporting students in geometry in secondary mathematics classrooms. However, in some cases, the role of visual function in technology was only utilized for seeing and conjecturing, not for experimenting, while to develop a relational understanding of geometry concepts, students should actively…
Descriptors: Student Diversity, Geometry, Mathematics Instruction, Teaching Methods
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Haya Shamir; Erik Yoder; David Pocklington – Online Submission, 2023
Identifying effective means of ameliorating achievement gaps and addressing literacy deficits is essential. Computer-assisted instruction (CAI) is one avenue for providing this effective instruction to the students that can most benefit from it. In the current study, kindergarten students in a public school district in Illinois received…
Descriptors: Teaching Methods, Literacy Education, Computer Assisted Instruction, Achievement Gap
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