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Melissa Kay Diliberti; Heather L. Schwartz; Sy Doan; Anna Shapiro; Lydia R. Rainey; Robin J. Lake – RAND Corporation, 2024
The release of such generative artificial intelligence (AI) tools as ChatGPT in 2022 was a major advancement in the field of AI. Two burning questions for kindergarten through grade 12 (K--12) educators are to what extent new generative AI tools will change teaching and whether they will improve learning. The answers to these questions are not yet…
Descriptors: Artificial Intelligence, Instructional Materials, Elementary School Teachers, Secondary School Teachers
Bablu Karan; G. R. Angadi – TechTrends: Linking Research and Practice to Improve Learning, 2025
The integration of artificial intelligence (AI) in educational setting is rapidly growing. The huge impact of AI in education draws attention of school stakeholders to start incorporating AI in teaching and learning. AI in school curriculum is increasingly getting significant. The study aimed to understand factors influencing the incorporation of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Secondary School Teachers
Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
Fletcher Wadsworth; Josh Blaney; Matthew Springsteen; Bruce Coburn; Nischal Khanal; Tessa Rodgers; Chase Livingston; Suresh Muknahallipatna – International Journal of Technology in Education and Science, 2024
Artificial Intelligence (AI) and, more specifically, Machine Learning (ML) methodologies have successfully tailored commercial applications for decades. However, the recent profound success of large language models like ChatGPT and the enormous subsequent funding from governments and investors have positioned ML to emerge as a paradigm-shifting…
Descriptors: Secondary School Students, Artificial Intelligence, High School Teachers, College Faculty
Ayse Alkan; Ezgi Pelin Yildiz – International Journal of Research in Education and Science, 2024
The main goal of this study is to reveal special talented primary school students' perceptions of artificial intelligence, one of the popular concepts of recent times, through metaphors. In this study, the phenomenological design, which is within the scope of qualitative research, was used. In this study, Türkiye Science and Art Center included…
Descriptors: Foreign Countries, Gifted, Elementary School Students, Middle School Students
Febri Yanti; Lufri Lufri; Yuni Ahda – Open Education Studies, 2025
Augmented reality (AR) became increasingly popular in education worldwide as a useful tool for improving student engagement, teamwork, and problem-solving abilities to enhance students' skills in Education 4.0 (E4.0). This research aimed to analyze and highlight several research publications that examined the use of AR to improve the skills of…
Descriptors: Computer Simulation, High School Seniors, Skill Development, Technology Uses in Education
Sarah Levine; Sarah W. Beck; Chris Mah; Lena Phalen; Jaylen PIttman – Journal of Adolescent & Adult Literacy, 2025
Educators and researchers are interested in ways that ChatGPT and other generative AI tools might move beyond the role of "cheatbot" and become part of the network of resources students use for writing. We studied how high school students used ChatGPT as a writing support while writing arguments about topics like school mascots. We…
Descriptors: Natural Language Processing, Artificial Intelligence, Technology Uses in Education, Writing (Composition)
Héctor J. Pijeira-Díaz; Sophia Braumann; Janneke van de Pol; Tamara van Gog; Anique B. H. Bruin – British Journal of Educational Technology, 2024
Advances in computational language models increasingly enable adaptive support for self-regulated learning (SRL) in digital learning environments (DLEs; eg, via automated feedback). However, the accuracy of those models is a common concern for educational stakeholders (eg, policymakers, researchers, teachers and learners themselves). We compared…
Descriptors: Computational Linguistics, Independent Study, Secondary School Students, Causal Models
Belle Dang; Andy Nguyen; Sanna Järvelä – Journal of Learning Analytics, 2024
Socially shared regulation in learning (SSRL) contributes to successful collaborative learning (CL). Empirical research into SSRL has received considerable attention recently, with increasingly available multimodal data, advanced learning analytics (LA), and artificial intelligence (AI) providing promising research avenues. Yet, integrating these…
Descriptors: Learning Analytics, Cooperative Learning, Artificial Intelligence, Epistemology
Using Machine Learning to Predict UK and Japanese Secondary Students' Life Satisfaction in PISA 2018
Zexuan Pan; Maria Cutumisu – British Journal of Educational Psychology, 2024
Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…
Descriptors: Artificial Intelligence, Secondary School Students, Life Satisfaction, Foreign Countries
Yannik Fleischer; Susanne Podworny; Rolf Biehler – Statistics Education Research Journal, 2024
This study investigates how 11- to 12-year-old students construct data-based decision trees using data cards for classification purposes. We examine the students' heuristics and reasoning during this process. The research is based on an eight-week teaching unit during which students labeled data, built decision trees, and assessed them using test…
Descriptors: Decision Making, Data Use, Cognitive Processes, Artificial Intelligence
Jeromie Whalen; William Grube; Chenyang Xu; Torrey Trust – TechTrends: Linking Research and Practice to Improve Learning, 2025
Launched in November of 2022, the generative artificial intelligence tool ChatGPT garnered immediate societal interest and adoption as its advanced large language modeling proved capable of producing sophisticated, human-like responses to user-generated prompts. In this preliminary study, K-12 teachers in the United States were surveyed on their…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Teacher Response
Helen Zhang; Anthony Perry; Irene Lee – International Journal of Artificial Intelligence in Education, 2025
The rapid expansion of Artificial Intelligence (AI) in our society makes it urgent and necessary to develop young students' AI literacy so that they can become informed citizens and critical consumers of AI technology. Over the past decade many efforts have focused on developing curricular materials that make AI concepts accessible and engaging to…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Artificial Intelligence
Xiao-Fan Lin; Yue Zhou; Weipeng Shen; Guoyu Luo; Xiaoqing Xian; Bo Pang – Education and Information Technologies, 2024
K-12 artificial intelligence (AI) education requires cultivating students' computational thinking in the school curriculum so as to transfer their computational thinking to diverse problems and authentic contexts. However, students may be limited by traditional computational thinking development activities because they may have a lower degree of…
Descriptors: Secondary School Students, Artificial Intelligence, Foreign Countries, Computation
Garry Vanz V. Blancia; Eddie G. Fetalvero; Philip R. Baldera; Merian C. Mani – Problems of Education in the 21st Century, 2024
These days' educational landscape forces teachers to adapt to changing demands and embrace innovations. In this study, Artificial Intelligence (AI) literacy was analyzed as how it mediates the association between Computational Thinking Skills (CTS) and Organizational Agility (OA) among secondary teachers. A quantitative causal mediation analysis…
Descriptors: Artificial Intelligence, Technological Literacy, Mental Computation, Secondary School Teachers