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Sarah W. Beck; Sarah Levine – Reading Research Quarterly, 2024
In "Parable of the Sower," Octavia Butler (1993) wrote: "Any Change may bear seeds of benefit. Seek them out. Any Change may bear seeds of harm. Beware" (p. 116). In this paper, we apply this command to a speculative examination of the consequences of text-based generative AI (GAI) for adolescent writers, framing this…
Descriptors: Artificial Intelligence, Writing (Composition), Student Behavior, Writing Processes
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Ezequiel Aleman; Ricardo Martinez – Reading Research Quarterly, 2024
This study explores how youth engage with literacy practices in the age of AI through the use of counter-cartographies within the Nayah-Irú curriculum. By critically examining digital platforms and the underlying algorithms, students embarked on a journey to understand and challenge the pervasive influence of artificial intelligence in their…
Descriptors: Digital Literacy, Artificial Intelligence, Algorithms, Educational Technology
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Oscar Karnalim; Hapnes Toba; Meliana Christianti Johan – Education and Information Technologies, 2024
Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…
Descriptors: Artificial Intelligence, Academic Achievement, Integrity, Introductory Courses
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Da-Wei Zhang; Melissa Boey; Yan Yu Tan; Alexis Hoh Sheng Jia – npj Science of Learning, 2024
This study evaluates the ability of large language models (LLMs) to deliver criterion-based grading and examines the impact of prompt engineering with detailed criteria on grading. Using well-established human benchmarks and quantitative analyses, we found that even free LLMs achieve criterion-based grading with a detailed understanding of the…
Descriptors: Artificial Intelligence, Natural Language Processing, Criterion Referenced Tests, Grading
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Myrto Kyriazopoulou; Riitta-Leena Metsäpelto; Sotiria Varis; Joona Muotka – Cogent Education, 2024
Emotional intelligence (EI) and the motivations behind choosing a teaching career are recognized as important factors in teacher education research. In this study, we aimed to explore the EI profiles of students at the beginning of their initial teacher education and the associations of EI profiles with these students' motivations for choosing…
Descriptors: Foreign Countries, Preservice Teachers, Emotional Intelligence, Career Choice
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Anna Magdalena Keates; Mark Pearson – Journal of Psychologists and Counsellors in Schools, 2024
A Multiple Intelligence and Expressive Therapies approach for counselling adolescents experiencing anxiety is proposed. Anxiety disorders are the most prevalent mental health challenges experienced by adolescents. Research reveals the association between anxiety in teenage years and psychiatric disorders in later life. Data is presented on the…
Descriptors: Multiple Intelligences, Therapy, School Counseling, Secondary School Students
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Rhonda Bondie; Elizabeth City – Learning Professional, 2024
New questions and concerns arise every day about the impact of AI in schools, such as how teachers will learn about AI and leverage it in their classrooms, how they can use it to develop their own teaching expertise, and if AI for educators really leads to better teaching and learning. The authors believe that AI can help teachers become more…
Descriptors: Preservice Teacher Education, Artificial Intelligence, Computer Simulation, Microteaching
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Grant Cooper; Kok-Sing Tang – Journal of Science Education and Technology, 2024
The proliferation of generative artificial intelligence (GenAI) means we are witnessing transformative change in education. While GenAI offers exciting possibilities for personalised learning and innovative teaching methodologies, its potential for reinforcing biases and perpetuating stereotypes poses ethical and pedagogical concerns. This article…
Descriptors: Artificial Intelligence, Science Education, Visual Aids, Stereotypes
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Benjamin Gagl; Klara Gregorová – npj Science of Learning, 2024
Efficient reading is essential for societal participation, so reading proficiency is a central educational goal. Here, we use an individualized diagnostics and training framework to investigate processes in visual word recognition and evaluate its usefulness for detecting training responders. We (i) motivated a training procedure based on the…
Descriptors: Reading, Reading Rate, Language Acquisition, Artificial Intelligence
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Li Chen; Gen Li; Boxuan Ma; Cheng Tang; Masanori Yamada – International Association for Development of the Information Society, 2024
This paper proposes a three-step approach to develop knowledge graphs that integrate textbook-based target knowledge graph with student dialogue-based knowledge graphs. The study was conducted in seventh-grade STEM classes, following a collaborative problem solving process. First, the proposed approach generates a comprehensive target knowledge…
Descriptors: Concept Mapping, Graphs, Cooperative Learning, Problem Solving
Ruth Grube – ProQuest LLC, 2024
The COVID-19 crisis was a global upheaval that significantly impacted the education systems--in the face of this, district and school leadership demonstrated remarkable resilience, overcoming the challenge of educating students through these uncertain times. They drew upon their existing leadership skills while also acquiring new ones they never…
Descriptors: COVID-19, Pandemics, Leadership Styles, Emotional Intelligence
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Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study addresses the opportunities presented by AI applications in education and the ethical issues brought about by this technology. AI in education holds excellent potential in personalized learning, automated assessment and feedback, and monitoring and analyzing student performance. However, using these technologies also raises ethical…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Ethics
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Beatriz Carbajal-Carrera – Australian Review of Applied Linguistics, 2024
The growing implementation of Generative AI (GenAI) in education has implications on the representation of knowledge and identity across languages. In a context where content biases have been reported in AI-generated content, it becomes relevant to interrogate the ways in which AI technologies represent different linguistic identities. This…
Descriptors: Artificial Intelligence, Sociolinguistics, Language Usage, Bias
Bryant Lopez – ProQuest LLC, 2024
Early in 2020, the United States was faced with the global impact of the COVID-19 pandemic resulting in several school districts across the country shutting down. What began as a temporary school closure morphed into one of the most creative and labor-intensive restructurings of schools. Leading the dramatic changes were elementary school…
Descriptors: COVID-19, Pandemics, School Closing, Principals
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Seth King; Anne Estapa; Tyler Bell; Joseph Boyer – Journal of Behavioral Education, 2024
Researchers increasingly identify virtual reality (VR) simulations as a potentially effective professional development tool. However, simulations used in education and behavior analysis typically require active oversight from technicians and instructors. "Smart" VR integrated with artificial intelligence could independently administer…
Descriptors: Computer Simulation, Skill Development, Behavior Modification, Verbal Communication
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