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Ishant Singhal; Guru Ratan Satsangee; Lakshya Bhardwaj; Gaurang S. Sharma; Anand Swarup Chandrakar; Hritav Gupta; Gargi Malik; Bobby Tyagi; Ankit Sahai; Rahul Swarup Sharma – IEEE Transactions on Learning Technologies, 2024
3D-printing (3DP) is a rapidly evolving sector and is advancing at an unmatched pace. Integrating digital-based approaches to disseminate knowledge within institutional curricula is crucial for mainstreaming knowledge. This work explores the development of a virtual lab (VL) for additive manufacturing (AM), using an interactive VL simulator. The…
Descriptors: Computer Peripherals, Printing, Laboratories, Computer Simulation
Andy Nguyen; Anh Thi Duong; Diep Thi Bich Nguyen; Van Thi Thanh Lai; Belle Dang – Information and Learning Sciences, 2025
Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…
Descriptors: Artificial Intelligence, Instructional Design, Public Policy, Educational Policy
Andreas de Barros; Alejandro J. Ganimian – Journal of Research on Educational Effectiveness, 2024
This is one of the first studies to evaluate the impact of computer-based individualized instruction in a developing country. We randomly assigned 1,528 students in grades 6-8 in 15 "model" public schools in Rajasthan, India who were using a computer-adaptive learning software to: a control group, in which they were only able to access…
Descriptors: Foreign Countries, Individualized Instruction, Computer Assisted Instruction, Grade 6
Carsten Lecon – Athens Journal of Education, 2024
In this paper, we describe a teaching scenario using a virtual environment (known also in the context of the 'metaverse'). This is motivated by the challenges that arise during the pandemic. More and more teaching scenarios are transferred to online learning settings, which allow learning at any time and at any time. One of the possibilities are…
Descriptors: Electronic Learning, Virtual Classrooms, Computer Simulation, Artificial Intelligence
Hozak, Kurt – Journal of Education for Business, 2021
This article describes a web-based application that can be used to help teach linear programming (LP) using an active learning approach in business courses such as management science and decision analysis. The software asks 42 integrated questions that guide students in creating product mix models and performing related analysis in Excel with…
Descriptors: Computer Assisted Instruction, Computer Science Education, Programming, Computer Software
Siegle, Robert F.; Schroeder, Noah L.; Lane, H. Chad; Craig, Scotty D. – TechTrends: Linking Research and Practice to Improve Learning, 2023
Pedagogical agents are on-screen characters that help facilitate learning in a virtual or mixed-reality setting. The research on pedagogical agents has shifted focus since their creation, from understanding their underlying principles, identifying their potential roles and usage, and recently finetuning their design for applied practice. This…
Descriptors: Teaching Methods, Artificial Intelligence, Technology Uses in Education, Barriers
Godwin-Jones, Robert – Language Learning & Technology, 2023
Looking at human communication from the perspective of semiotics extends our view beyond verbal language to consider other sign systems and meaning-making resources. Those include gestures, body language, images, and sounds. From this perspective, the communicative process expands from individual mental processes of verbalizing to include features…
Descriptors: Second Language Learning, Second Language Instruction, Semiotics, Nonverbal Communication
Matthew Mauntel; Michelle Zandieh – International Journal of Research in Undergraduate Mathematics Education, 2024
In this article we analyze how students reason about linear combinations across multiple digital environments. We present the work of three groups of undergraduate students in the Southeast United States (US) who were considered ready to take linear algebra. The students played the game "Vector Unknown," reflected upon aspects of their…
Descriptors: Video Games, Algebra, Mathematics Instruction, Teaching Methods
Shamini Shetye – Studies in Applied Linguistics & TESOL, 2024
The recent advancement in technology has attracted learners' attention worldwide to Generative Artificial Intelligence (GenAI) for educational purposes. While GenAI has shown promising results for general language purposes (Godwin-Jones, 2023; Xiao & Zhi, 2023), the potential of GenAI for language learning has not been fully explored. This…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Joseph M. Furner – Pedagogical Research, 2024
Today math teachers can best reach their students and show them how math surrounds us by using manipulatives, children's literature, and GeoGebra while teaching mathematics. These are some of the best pedagogical practices for teaching mathematics today. In our high-tech world, students need to be proficient in science, technology, engineering,…
Descriptors: Teaching Methods, Mathematics Instruction, Manipulative Materials, Childrens Literature
Chen, Wenli; Tan, Jesmine S. H.; Zhang, Si; Pi, Zhongling; Lyu, Qianru – Educational Technology Research and Development, 2023
Nurturing twenty-first-century competency is one important agenda in this era, especially in developing collaborative learning and critical thinking skills. Yet, facilitating such a computer-supported collaborative learning (CSCL) environment is challenging. Although several technological platforms from past research studies were developed to…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learning Analytics, Educational Technology
Berti, Margherita – The EUROCALL Review, 2021
Educational technology tools that improve learning and foster engagement are constantly sought by teachers and researchers. In the domain of Computer-Assisted Language Learning a variety of tools, for instance blogs and podcasts, have been used to promote language and cultural learning (Shih, 2015). More recently, virtual reality has been…
Descriptors: Computer Simulation, Cultural Education, Computer Assisted Instruction, Second Language Learning
Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Melanie W. Jensen; Peter J. Rich – International Journal of Designs for Learning, 2025
In the teaching of math-fact automaticity, most classroom teachers are unaware of research-based practices such as the use of a controlled response time, the scaffolded teaching of individual math facts, the limiting of exposure to new math facts, the separation of math facts with common operands, and even the definition of automaticity. As a…
Descriptors: Computer Software, Mathematics Instruction, Evidence Based Practice, Scaffolding (Teaching Technique)

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