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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
Fatma Merve Mustafaoglu; Fatma Alkan – Science Education International, 2025
Recycling waste is essential to mitigate environmental damage caused by human activity. Environmentally responsible behaviors, shaped during early ages, are closely linked to environmental attitudes, as demonstrated by prior research. This study aims to predict middle school students' recycling behaviors using machine learning algorithms. A…
Descriptors: Middle School Students, Recycling, Student Behavior, Artificial Intelligence
Héctor Galindo-Domínguez; Nahia Delgado; María-Victoria Urruzola; Jose-María Etxabe; Lucía Campo – Journal of Computer Assisted Learning, 2025
Background: With the integration of artificial intelligence into educational processes, its impact remains to be discovered. Objective: The aim of the present study was to determine whether, after a 7-month intervention in which a subject of artificial intelligence was taught, students improved their psychological needs for competence, autonomy…
Descriptors: Artificial Intelligence, Adolescents, Student Motivation, Technology Uses in Education
Charlie Ingram; Alison Halford; Sokipriala Jonah – Curriculum Journal, 2025
With the UK government's target of Net Zero by 2050, alongside the rising cost of energy in the UK, it is imperative that public opinion aligns with and promotes affordable, greener energy systems. Within this dialogue, young people's voices and lived experience are needed to deepen the impact of energy policy intervention strategies. This article…
Descriptors: Energy Education, Foreign Countries, Conservation (Environment), Secondary School Students
Simon Ntumi – Discover Education, 2025
This study investigated the impact of AI-powered adaptive testing on student academic performance and test anxiety, comparing its effectiveness to traditional testing methods. Using a quantitative research approach, hierarchical regression analysis was employed to examine the influence of adaptive testing on student outcomes, controlling for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Artificial Intelligence, Test Anxiety
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
Antonios Kafa – International Journal of Educational Management, 2025
Purpose: The rapid digitalization and emergence of AI tools are transforming school organizations. However, limited research exists on how school leaders integrate these technologies into their leadership practices. This study focuses on the experiences of school leaders in Cyprus, exploring the benefits and challenges of adopting digital and AI…
Descriptors: Artificial Intelligence, Computer Uses in Education, Elementary Schools, Secondary Schools
Jiawei Xiong; George Engelhard; Allan S. Cohen – Measurement: Interdisciplinary Research and Perspectives, 2025
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…
Descriptors: Responses, Test Items, Test Format, Grade 8
Puja Tripathi; Digar Singh Farswan; Anjana Basera; Rakhi Tiwari – Journal on School Educational Technology, 2025
The integration of artificial intelligence (AI) in contemporary classrooms is redefining educational processes and teacher roles. Tools such as ChatGPT, automated grading systems, and personalized learning platforms are being widely adopted for their ability to enhance efficiency, deliver adaptive instruction, and support data-driven…
Descriptors: Artificial Intelligence, Technology Uses in Education, Professional Identity, Professional Autonomy
Zifeng Liu; Wanli Xing; Xinyue Jiao; Chenglu Li; Wangda Zhu – Education and Information Technologies, 2025
The ability of large language models (LLMs) to generate code has raised concerns in computer science education, as students may use tools like ChatGPT for programming assignments. While much research has focused on higher education, especially for languages like Java and Python, little attention has been given to K-12 settings, particularly for…
Descriptors: High School Students, Coding, Artificial Intelligence, Electronic Learning
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
Jeff Schiel; Becky L. Bobek; Joyce Z. Schnieders – ACT, Inc., 2023
There is growing interest in artificial intelligence (AI) tools, especially high-profile tools like ChatGPT, and these tools now appear to be part of the education experience for many high school students. To investigate students' use of AI tools for school assignments, their impressions of how using the tools might affect them cognitively and…
Descriptors: High School Students, Artificial Intelligence, Learner Engagement, Technology Uses in Education
Ünal Çakiroglu; Volkan Selçuk – Education and Information Technologies, 2025
In recent years, when computational thinking (CT) has become increasingly important, utilizing machine learning (ML) techniques provides a revolutionary method for comprehending and improving cognitive skills for young students. However, few studies deepen the process of learning ML and CT. This exploratory study aims to investigate the impact of…
Descriptors: Thinking Skills, Computation, Grade 5, Secondary School Students
Peer reviewedClayton Cohn; Surya Rayala; Caitlin Snyder; Joyce Horn Fonteles; Shruti Jain; Naveeduddin Mohammed; Umesh Timalsina; Sarah K. Burriss; Ashwin T. S.; Namrata Srivastava; Menton Deweese; Angela Eeds; Gautam Biswas – Grantee Submission, 2025
Collaborative dialogue offers rich insights into students' learning and critical thinking. This is essential for adapting pedagogical agents to students' learning and problem-solving skills in STEM+C settings. While large language models (LLMs) facilitate dynamic pedagogical interactions, potential hallucinations can undermine confidence, trust,…
Descriptors: STEM Education, Computer Science Education, Artificial Intelligence, Natural Language Processing

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