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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
Clayton Cohn; Caitlin Snyder; Joyce Horn Fonteles; Ashwin T. S.; Justin Montenegro; Gautam Biswas – British Journal of Educational Technology, 2025
Recent advances in generative artificial intelligence (AI) and multimodal learning analytics (MMLA) have allowed for new and creative ways of leveraging AI to support K12 students' collaborative learning in STEM+C domains. To date, there is little evidence of AI methods supporting students' collaboration in complex, open-ended environments. AI…
Descriptors: Cooperation, Researchers, Artificial Intelligence, STEM Education
Tristan Kumor; Lida Uribe-Flórez; Jesús Trespalacios; Dazhi Yang – TechTrends: Linking Research and Practice to Improve Learning, 2024
There has been a limited amount of research that has attempted to determine teaching strategies using adaptive learning systems. Most studies have attempted to measure success of the use of these technologies based on improvements in students' test scores but have lacked to provide any information regarding the pedagogy implemented while using the…
Descriptors: High School Teachers, Mathematics Teachers, Teacher Attitudes, Teaching Methods
Shashi Kant Shankar; Gayathri Pothancheri; Deepu Sasi; Shitanshu Mishra – International Journal of Artificial Intelligence in Education, 2025
In education, the utilization of EdTech tools diverges notably between developed and developing nations, a dichotomy attributed to multiple factors like Technological Infrastructure, Digital Literacy, Digital Pedagogy, Tools, and Content. Recent research studies highlight that Generative AI's potential use and integration might exacerbate this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
Nicole Vargas – ProQuest LLC, 2023
Artificial intelligence in education (AIED) is an exigent topic of concern across educational settings. While artificial intelligence (AI) is not new, integrating it into K-12 schools has created a mix of positive and negative perceptions regarding how to do so effectively. The purpose of this phenomenological study was to examine teachers'…
Descriptors: High School Teachers, Teacher Attitudes, Artificial Intelligence, Instructional Materials
Zachary Opps – ProQuest LLC, 2024
As the use of artificial intelligence (AI), especially machine learning (ML), has dramatically increased, K-12 schools have begun to deliver AI education; however, little is known about teachers' views on the field. This qualitative study investigated how U.S. high school computer science (CS) teachers conceptualize AI, the role of AI in their CS…
Descriptors: Artificial Intelligence, High School Teachers, Computer Science Education, Teacher Education
Bellas, Francisco; Guerreiro-Santalla, Sara; Naya, Martin; Duro, Richard J. – International Journal of Artificial Intelligence in Education, 2023
This paper presents a proposal of specific curriculum in Artificial Intelligence (AI) for high school students, which has been organized as a two-year subject. The curriculum was designed based on two premises. The first one is that, although the proposal is targeted to scientific programmes, the involved students and teachers do not have any…
Descriptors: Foreign Countries, Artificial Intelligence, Curriculum, High Schools
de Vera, Shaun P. – ProQuest LLC, 2023
Contributing to a growing body of research on broadening participation in computing for historically underrepresented racial communities (e.g., Black and Latinx), this qualitative study describes the knowledge (content and sources) six antiracist Computer Science (CS) teachers have about examples (and counterexamples) of modern techno-racism, a…
Descriptors: Racism, Computer Science Education, Middle School Teachers, High School Teachers
Rena Alasgarova; Jeyhun Rzayev – International Journal of Technology in Education and Science, 2024
This study explores the integration of Artificial Intelligence (AI) in high school education, focusing on its implications for student motivation and learning through the framework of Self-Determination Theory. As AI technologies like ChatGPT4 become more prevalent in educational settings, their potential to enhance learning by catering to…
Descriptors: High School Students, Artificial Intelligence, Student Motivation, Personal Autonomy
Ozkan Ergene; Busra Caylan Ergene – Education and Information Technologies, 2025
One of the aims of the present study was to reveal and compare the performance of ChatGPT versions (GPT-4o, GPT-4, and GPT-3.5), MathGPT, and Gemini in solving 390 mathematical problems in interactive mathematics e-textbooks across various dimensions. The other aim was to identify the affordances and constraints of ChatGPT through the instrumental…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Electronic Books
I Putu Ade Andre Payadnya; Gusti Ayu Made Arna Putri; I Ketut Suwija; Sompob Saelee; I Gusti Agung Ngurah Trisna Jayantika – Journal for Multicultural Education, 2025
Purpose: Artificial intelligence (AI) is increasingly used in education, yet its cultural impact, especially in Southeast Asian mathematics education, remains underexplored. This gap is significant because understanding cultural adaptation is essential for AI tools to effectively enhance learning in diverse classrooms. This study examines how AI…
Descriptors: Technology Uses in Education, Artificial Intelligence, Mathematics Education, Mathematics Teachers
Victoria Leah Delaney – ProQuest LLC, 2024
Today's students are surrounded by machine learning (ML)-powered tools. Yet, few understand how they work. While there are numerous opportunities for students to learn about ML in informal settings (e.g., Alvarez et al., 2022; Druga et al., 2022) and online (e.g., code.org, Scratch), there are far fewer opportunities in the United States for…
Descriptors: Artificial Intelligence, Statistics Education, Mathematics Teachers, Technology Uses in Education
Kok-Sing Tang; Grant Cooper; Natasha Rappa; Martin Cooper; Craig Sims; Karen Nonis – Pedagogies: An International Journal, 2024
This paper explores the pedagogical potential of Generative Artificial Intelligence (GenAI) in secondary education through a dialogic approach to teaching, learning and assessment. It presents an ongoing action research project in collaboration with a high school in Western Australia, involving four teachers to integrate GenAI in their classrooms.…
Descriptors: Foreign Countries, Artificial Intelligence, Dialogs (Language), Inquiry
Kurtz, Holly; Lloyd, Sterling; Harwin, Alex; Daniels, Ashlee; Cheseldine, Sarah – Editorial Projects in Education, 2023
In a trend buoyed by new technology purchased to accommodate the remote learning necessitated by the coronavirus pandemic, educators are increasingly using devices and apps to teach core subjects, including math. This report examines perceptions and experiences of teachers, principals, and district leaders around the use of such tools for math…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Teacher Attitudes
Jennifer M. Higgs; Amy Stornaiuolo – Reading Research Quarterly, 2024
The recent unveiling of chatbots such as ChatGPT has catalyzed vigorous debates about generative AI's impact on how learners read, write, and communicate. Largely missing from these debates is careful consideration of how young people are experiencing AI in their everyday lives and how they are making sense of the questions that these rapidly…
Descriptors: High School Students, High School Teachers, English Instruction, Artificial Intelligence
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