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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
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
Saeverot, Herner, Ed. – Routledge Research in Education, 2021
"Meeting the Challenges of Existential Threats through Educational Innovation" is the first book of its kind to provide an educational and systematic analysis of problems and solutions regarding the most pressing threats that humankind is facing. The book makes a case for the importance of education responding to significant threats;…
Descriptors: Educational Innovation, Social Problems, World Problems, Climate
Zhang, Ruofei; Zou, Di; Cheng, Gary – Innovation in Language Learning and Teaching, 2023
EFL learners generally have the problem of logical fallacies in EFL argumentative writings. Logical fallacies are errors in reasoning that can undermine EFL argumentative writing quality. Explicit training on logical fallacies may help learners deal with the problem and enhance their self-efficacy and proficiency in EFL argumentative writing,…
Descriptors: English (Second Language), Second Language Learning, Persuasive Discourse, Writing Instruction
Saunders, Laura – College & Research Libraries, 2022
Librarians, who have long promoted the criticality of information literacy, were quick to identify a role for themselves in confronting the challenges of mis/disinformation through library instruction. Nevertheless, little research has been done to examine discipline faculty's perspectives on mis/disinformation or the extent to which they are…
Descriptors: Librarians, Role, Library Instruction, Barriers