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Hee Kyung Park; Sonya Nichole Martin – Asia-Pacific Science Education, 2024
This paper consists of a systematic review of the literature on ChatGPT's application in science education, drawing from studies conducted between January and September 2023, examining the current landscape, challenges, and implications of integrating ChatGPT into science classrooms. Analysis revealed a predominant emphasis on physics and…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Science Education
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Derek J. Bischoff; Michael E. Mackay; Sheldon A. Hewlett – Journal of Chemical Education, 2024
Upper-division undergraduate students are introduced to polymer processing using material extrusion fused filament fabrication 3D printing to make poly(lactic acid) (PLA) mechanical testing specimens. Computer aided design and slicing software packages are used to demonstrate the process of preparing 3D computer models for printing. Following the…
Descriptors: Plastics, Mathematical Models, Printing, Computer Peripherals
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Salah Zogheib – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to explore factors influencing engineering students' acceptance of the Google Classroom platform in communication skills courses to ensure more active engagement and better performance. Background: In response to the underutilization and hesitancy in adopting educational technologies, this study investigates the…
Descriptors: Learning Experience, Engineering Education, Computer Software, Computer Mediated Communication
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Robert Godwin-Jones – Language Learning & Technology, 2024
Generative AI offers significant opportunities for language learning. Tools like ChatGPT provide second language practice through chats in written or voice formats, with the learner specifying through prompts conversational parameters. AI can be instructed to give corrective feedback and create practice exercises. Using AI, instructors can build…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Software
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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
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Adil Youssef Sayeh; Hassane Razkane; Mohamed Yeou; Najat Mokhtari – International Journal of Learning Technology, 2024
The present study investigated the type of influence teachers' technological knowledge, technological pedagogical knowledge, anxiety, age, and years of experience have on their time spent on the MS Teams platform. 171 high-school EFL teachers from the public sector in the city of El Jadida, Morocco, were given a questionnaire adapted from Heinssen…
Descriptors: Computer Software, English (Second Language), Language Teachers, Teacher Attitudes
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Sercan Özer; Levent Çetinkaya – Educational Policy Analysis and Strategic Research, 2024
This study aimed to gather middle school students' opinions on the utilization of cryptologic methods in education. Using a case study approach, data were collected through a semi-structured interview form developed with expert input. The focus was on the effects of integrating cryptologic methods within the Information Technologies and Software…
Descriptors: Middle School Students, Grade 6, Technology Integration, Information Technology
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David R. Firth; Jason Triche – Information Systems Education Journal, 2024
Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the "Introduction to Management Information Systems" classroom at both the undergraduate and graduate levels, we…
Descriptors: Information Systems, Artificial Intelligence, Information Science Education, Computer Software
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Müslüm Atas; Helmut Lindner; Thomas Strametz; Fatima Jammoul; Johannes Feiner; Antonius Metry Saad – International Association for Development of the Information Society, 2024
With the rapid growth of digital education, e-learning has become essential for offering accessible and flexible learning opportunities. This paper investigates strategies to achieve long-term learning outcomes and reduce study time in e-learning. It explores various techniques, including self-testing, spaced repetition, and the serial position…
Descriptors: Electronic Learning, Time on Task, Memory, Learning Strategies
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Sayim Aktay; Seckin Gok; Aytug Yildirim – International Technology and Education Journal, 2024
The aim of this study is to develop a reliable and valid scale to determine individuals' attitudes toward artificial intelligence. The study was conducted during the spring semester of 2024 with the participation of pre-service teachers studying at the Faculty of Education at Mugla Sitki Koçman University in Turkey. A total of 410 pre-service…
Descriptors: Artificial Intelligence, Attitude Measures, Educational Benefits, Goodness of Fit
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Julianna Washington; Taylor Darwin; Theodora Beauchamp; Candace Walkington – Grantee Submission, 2024
Prisms VR, a secondary math learning application, allows for users to see, manipulate, and engage with mathematical concepts in an embodied way in Virtual Reality (VR) environment. We examine cases in which mathematics teachers and middle school students worked through Prisms and reflected upon their experiences. Findings indicate that VR…
Descriptors: Mathematics Instruction, Teacher Attitudes, Computer Simulation, Algebra
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Ochieng, Dunlop – Journal of Learning and Teaching in Digital Age, 2019
Education sector has embraced and increasingly use digital technologies to address its longstanding challenges. However, considering that every technology has its limitations, I evaluated the progress of citation and reference technologies in solving the chronic problem of plagiarism in academic writing. In this pursuit, I confirmed with several…
Descriptors: Educational Technology, Citations (References), Plagiarism, Error Patterns
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Goncalves, Alem-Mar B.; Freitas, Welica P. S.; Reis, Diogo D.; Cena, Cicero R.; Alves, Diego C. B.; Bozano, Doroteia F. – Physics Teacher, 2019
The popularization of microcontrollers like Arduino bring new possibilities of experiments for physics laboratories. For instance, load cell sensors have been used in experiments on impulse and buoyancy. Here we propose an experimental apparatus using Arduino connected to a load cell to measure surface tension by the du Noüy method (or ring…
Descriptors: Physics, Science Instruction, Science Laboratories, Science Experiments
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Hofmann, Andreas; Cross, Megan; Karow, Malte A.; Straub, Jan H.; Clemen, Christoph S.; Eichinger, Ludwig – Biochemistry and Molecular Biology Education, 2019
The Java software jBar consists of a graphical user interface that allows the user to customize and assemble an included script for R. The scripted R pipeline calculates means and standard errors/deviations for replicates of numerical bivariate data and generates presentations in the form of bar graphs. A two-sided Student's t test is carried out…
Descriptors: Data Analysis, Graphs, Computer Software, Computer Uses in Education
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Malatesta, Jaime; Lee, Won-Chan – Measurement: Interdisciplinary Research and Perspectives, 2019
This article reviews several software programs designed to conduct item response theory (IRT) scale linking and equating. The programs reviewed include IRTEQ, STUIRT, and POLYEQUATE. Features and functionalities of each program are discussed and an example analysis using the common-item non-equivalent groups design in IRTEQ is provided.
Descriptors: Item Response Theory, Equated Scores, Computer Software, Computer Interfaces
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