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Ron Aboodi – Educational Theory, 2025
As Artificial Intelligence (AI) keeps advancing, Generation Alpha and future generations are more likely to cope with situations that call for critical thinking by turning to AI and relying on its guidance without sufficient critical thinking. I defend this worry and argue that it calls for educational reforms that would be designed mainly to (a)…
Descriptors: Critical Thinking, Artificial Intelligence, Educational Benefits, Barriers
Alexander M. Sidorkin – Educational Theory, 2025
The debate over halting artificial intelligence (AI) development stems from fears of malicious exploitation and potential emergence of destructive autonomous AI. While acknowledging the former concern, this paper argues the latter is exaggerated. True AI autonomy requires education inherently tied to ethics, making fully autonomous AI potentially…
Descriptors: Artificial Intelligence, Criticism, Ethics, Safety
Kim, Keunjae; Kwon, Kyungbin; Ottenbreit-Leftwich, Anne; Bae, Haesol; Glazewski, Krista – Education and Information Technologies, 2023
This study aims to explore the middle schoolers' common naive conceptions of AI and the evolution of these conceptions during an AI summer camp. Data were collected from 14 middle school students (12 boys and 2 girls) from video observations and learning artifacts. The findings revealed 6 naive conceptions about AI concepts: (1) AI was the same as…
Descriptors: Middle School Students, Misconceptions, Artificial Intelligence, Summer Programs
Nie, Rui; Guo, Qi; Morin, Maxim – Educational Measurement: Issues and Practice, 2023
The COVID-19 pandemic has accelerated the digitalization of assessment, creating new challenges for measurement professionals, including big data management, test security, and analyzing new validity evidence. In response to these challenges, "Machine Learning" (ML) emerges as an increasingly important skill in the toolbox of measurement…
Descriptors: Artificial Intelligence, Electronic Learning, Literacy, Educational Assessment
Jamie Herman; Henry Lara-Steidel – Educational Theory, 2025
The launch of the powerful generative AI tool ChatGPT in November 2022 sparked a wave of fear across higher education. The tool could seemingly be used to write essays and do other work without students putting in the effort expected of them. In this paper, Jamie Herman and Henry Lara-Steidel posit a way of addressing the concerns over ChatGPT and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Role of Education, Higher Education
Du, Hanxiang; Xing, Wanli – Distance Education, 2023
Online discussion forums are highly valued by instructors due to their affordance for understanding class activities and learning. However, a discussion forum with a great number of posts requires a large amount of time to view, and help requests are easily overlooked. Various machine-learning--based tools have been developed to help instructors…
Descriptors: Computer Mediated Communication, Discussion Groups, Classification, Identification
Louie Giray – Higher Learning Research Communications, 2024
Objectives: I analyze, deconstruct, and debunk prevalent misconceptions about artificial intelligence (AI) in education. Methods: This study identifies and presents ten common myths about AI in education, followed by concise explanations that counter each myth with the corresponding reality, relying on credible sources and evidence. Results: AI…
Descriptors: Artificial Intelligence, Misconceptions, Technology Uses in Education, Educational Technology
Taekwon Son – Education and Information Technologies, 2025
Responsive teaching is an effective teaching approach in which teachers engage and respond to students' mathematical ideas to support their mathematics learning. In this study, the relationship between preservice teachers' (PSTs) noticing expertise and their teaching moves was investigated in a simulated AI chatbot environment. The AI chatbot…
Descriptors: Preservice Teachers, Teaching Methods, Technology Uses in Education, Artificial Intelligence
Danimir Mandic; Gordana Mišcevic; Jelica Babic; Sofija Matovic – Research in Pedagogy, 2024
The contemporary educational paradigm, which brings learning outcomes and competencies to the foreground, puts special emphasis on digital competencies. The relevance of their development is visible in a series of strategies and initiatives at the global and national level. The application of AI and robotics poses a number of pedagogical…
Descriptors: Robotics, Teacher Education Programs, Preservice Teacher Education, Preschool Teachers
Christine Wusylko; Pavlo Antonenko; Brian Abramowitz; Jeremy Waisome; Victor Perez; Stephanie Killingsworth; Bruce MacFadden – Journal of Technology and Teacher Education, 2025
As artificial intelligence (AI) is rapidly being adopted and used in society, it is imperative that teachers feel supported to integrate AI and computer science (CS) into their coursework. To help support teachers to integrate CS and AI into their instruction, we designed and developed an innovative AI curriculum, Shark AI, for in-service science…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
Astuti Muh. Amin; Fitriyah Karmila; Syamsu Rijal; Noor Hujjatusnaini; Romi Adiansyah – Journal of Education and e-Learning Research, 2025
The present study aimed to evaluate the validity, practicality, and effectiveness of an integrated project-based learning model and 4C scaffolding techniques in addressing students' misconceptions in biology. In this research and development (R&D) study, the learning model was validated by five experts. A limited product trial was conducted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Misconceptions, Student Projects
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Ekaterina Rzyankina; Frikkie George; Zach Simpson – IEEE Transactions on Education, 2024
Background: The COVID-19 pandemic and the shift to digital learning materials have dramatically reduced the use of paper-based textbooks in higher education. In the field of engineering, students need a comprehensive understanding of mathematical concepts, which can be achieved through the use of e-textbooks. These digital learning materials can…
Descriptors: Engineering Education, Electronic Publishing, Misconceptions, Mathematics Instruction
Johanna Velander; Mohammed Ahmed Taiye; Nuno Otero; Marcelo Milrad – Education and Information Technologies, 2024
Uncovering patterns and trends in vast, ever-increasing quantities of data has been enabled by different machine learning methods and techniques used in Artificial Intelligence (AI) systems. Permeating many aspects of our lives and influencing our choices, development in this field continues to advance and increasingly impacts us as individuals…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Teacher Educators
Lu Ding; Tong Li; Shiyan Jiang; Albert Gapud – International Journal of Educational Technology in Higher Education, 2023
The latest development of Generative Artificial Intelligence (GenAI), particularly ChatGPT, has drawn the attention of educational researchers and practitioners. We have witnessed many innovative uses of ChatGPT in STEM classrooms. However, studies regarding students' perceptions of ChatGPT as a virtual tutoring tool in STEM education are rare.…
Descriptors: Technology Uses in Education, Artificial Intelligence, Introductory Courses, College Science