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Anwesa Das; Vinay Kumar; Aditya Narayan Hati; Sharda Bharti – IEEE Transactions on Education, 2024
Machine learning (ML) is increasingly utilized in the development and assurance of safety-critical systems (SCSs) nowadays, much like other complex problems. Safety is the topmost priority in SCS, hence, developers who are working in this area must possess extensive knowledge of both ML and SCS. This article presents a methodical investigation…
Descriptors: Artificial Intelligence, Computer Security, Engineering Education, Engineering
Brian P. Shaw – Music Educators Journal, 2024
In the coming years, the proliferation of artificial intelligence (AI) will lead to changes and challenges to many traditional practices in school music and beyond, particularly related to student assessment and grading. At the same time, the AI revolution may also facilitate new and exciting directions for assessment and differentiation in music…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Music Education
Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
Xingyu Geng; Yu-Sheng Su – International Journal of Science and Mathematics Education, 2024
The metaverse offers unique opportunities for K-12 students to learn STEM subjects in online and blended settings, providing interactive and authentic experiences. Although previous studies have produced mixed findings on the influence of the metaverse on perceptions and academic achievement of online and blended STEM learning, it is necessary to…
Descriptors: Elementary Secondary Education, Educational Technology, Technology Uses in Education, STEM Education
Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
Jaeho Jeon; Seongyong Lee – Education and Information Technologies, 2024
Research has demonstrated the promising potential of chatbots in education. Moreover, technological advancements, such as ChatGPT, prompted us to reexamine distinctions between pedagogical roles that humans and chatbots assume. In this context, a systematic review of 11 experimental studies on human-chatbot comparisons in language education was…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Assisted Instruction
Artur Strzelecki; Karina Cicha; Mariia Rizun; Paulina Rutecka – Education and Information Technologies, 2024
Since OpenAI released ChatGPT, the discussion on its usage in education has been conducted by students and teachers of every education level. Also, many studies have been performed on the tool's possibilities and the threats related to its usage, such as incomplete or inaccurate information obtained or even plagiarism. Many universities worldwide…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Faculty, Teacher Attitudes
Mehdi Darban – Education and Information Technologies, 2024
This study advances the understanding of Artificial Intelligence (AI)'s role, particularly that of conversational agents like ChatGPT, in augmenting team-based knowledge acquisition in virtual learning settings. Drawing on human-AI teams and anthropomorphism theories and addressing the gap in the literature on human-AI collaboration within virtual…
Descriptors: Artificial Intelligence, Influence of Technology, Group Instruction, Electronic Learning
Chen-Chen Liu; Hai-Jie Wang; Dan Wang; Yun-Fang Tu; Gwo-Jen Hwang; Youmei Wang – Interactive Learning Environments, 2024
Teachers' instructional design skills influence their teaching practices and student learning performances. However, researchers have found that the traditional one-to-many model of preservice teacher education prevents preservice teachers from receiving timely and individualized feedback, making it difficult to fill in theoretical knowledge gaps…
Descriptors: Preservice Teachers, Instructional Design, Teaching Skills, Knowledge Level
Yueqiao Jin; Vanessa Echeverria; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Yi-Shan Tsai; Dragan Gasevic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…
Descriptors: Learning Analytics, Accountability, Ethics, Artificial Intelligence
Jude Brady; Martina Kuvalja; Alison Rodrigues; Sarah Hughes – Research Matters, 2024
This study explores undergraduate students' use of ChatGPT when writing essays. Three students were tasked with writing two essays each for a coursework component for a Cambridge qualification facilitated by access to ChatGPT. After writing the essays, they participated in semi-structured interviews about their experiences of using the technology.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Undergraduate Students, Writing (Composition)
Mark Anthony Camilleri – Interactive Technology and Smart Education, 2024
Purpose: Many educators are increasingly acquainting themselves and becoming adept with interactive technologies like augmented reality and virtual reality. Some of them are also looking forward to using Metaverse applications, as they want to benefit from its immersive three-dimensional capabilities. Therefore, the purpose of this study is to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Cost Effectiveness
J. A. Rice; Trini Stickle – Across the Disciplines, 2024
Comparing legal, policy, and statute writing--from stone records of ancient Britain civil servants to opinions of the U.S. Supreme Court--this article demonstrates how weaving threads of textual language variation and change can innervate writing in the disciplines and history of the English language courses, particularly courses designated for…
Descriptors: Writing Instruction, Writing Across the Curriculum, Legal Problems, Jargon
Selçuk Kilinç – Journal of Educational Technology and Online Learning, 2024
The integration of generative artificial intelligence (GenAI) tools into education has been a game-changer for teaching and assessment practices, bringing new opportunities, but also novel challenges which need to be dealt with. This paper presents the Comprehensive AI Assessment Framework (CAIAF), an evolved version of the AI Assessment Scale…
Descriptors: Artificial Intelligence, Evaluation Methods, Ethics, Technology Integration
Adcharawan Buripakdi; Le Truong An – LEARN Journal: Language Education and Acquisition Research Network, 2024
Amidst the integration of AI tools in education, ChatGPT is considered prevalent for its potential capacities. Although research into this phenomenon has been conducted by worldwide scholars, little has been known about the perceptions of Ph.D. students of non-English speaking countries. Hence, this qualitative study shifted the focus to this…
Descriptors: Doctoral Students, Foreign Countries, Student Attitudes, Artificial Intelligence

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