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Annabelle T. Lolinco; Thomas A. Holme – Journal of Chemical Education, 2023
In a technology-centric world, leveraging digital tools such as chatbots allows educators to engage students in ways that may be more accessible for both parties, particularly in large lecture classrooms. This report details the development of an interactive web-based chatbot to curate content for writing about chemistry in context. Students were…
Descriptors: Chemistry, Science Instruction, Artificial Intelligence, Computer Software
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Chahna Gonsalves – Journal of Learning Development in Higher Education, 2023
Multiple-choice quizzes (MCQs) are a popular form of assessment. A rapid shift to online assessment during the COVID-19 pandemic in 2020, drove the uptake of MCQs, yet limited invigilation and wide access to material on the internet allow students to solve the questions via internet search. ChatGPT, an artificial intelligence (AI) agent trained on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Multiple Choice Tests
Fatima, Saba – ProQuest LLC, 2023
Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…
Descriptors: Artificial Intelligence, Prediction, Outcomes of Education, At Risk Students
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Ethan Prihar; Morgan Lee; Mia Hopman; Adam Tauman Kalai; Sofia Vempala; Allison Wang; Gabriel Wickline; Aly Murray; Neil Heffernan – Grantee Submission, 2023
Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…
Descriptors: Mathematics Instruction, Teaching Methods, Artificial Intelligence, Middle School Students
Ariel Teresa Leigh Petersen – ProQuest LLC, 2023
Social emotional learning is commonly referred to as the "fifth curriculum" in addition to math, literacy, social studies, and science. However, educators cannot teach what they do not understand, practice, or model. The problem addressed by this study was some educators in private schools lack training in social emotional learning,…
Descriptors: Social Emotional Learning, Faculty Development, Experiential Learning, Private Schools
Christopher A. Rozeville – ProQuest LLC, 2023
The Leading-to-Calculus Framework (LTCF) is a collection of math courses meant to prepare students for calculus. From its inception, however, scholars have marked out a number of problems with its approach, particularly for students of color: its content and activities are often too broad, its structure is too rigid, and it fails to regularly…
Descriptors: Calculus, Mathematics Instruction, Intelligence, Student Characteristics
OECD Publishing, 2023
Schools are facing increasing demands to prepare students for rapid economic, environmental and social changes, for jobs that have not yet been created, for technologies that have not yet been invented, and to solve social problems that have not yet been anticipated. Underpinning the E2030 project is the premise that education needs to do more…
Descriptors: Educational Trends, Trend Analysis, Futures (of Society), Mathematics Education
Cecelia Amanda Gloski – ProQuest LLC, 2023
Students with specific learning disabilities (SLD) represent roughly five percent of U.S. public school students aged 3-21. Current federal policy outlines guidelines for identification of SLDs, while ultimately leaving specific procedures to the determination of state and local education agencies. Research into how the method used in…
Descriptors: Learning Disabilities, Students with Disabilities, Elementary School Students, Children
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Youqin Pan; Jian Gu – International Journal of Technology in Teaching and Learning, 2023
This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
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Nufar Sukenik – Language Acquisition: A Journal of Developmental Linguistics, 2025
Relative clauses (RCs) are complex syntactic structures because they consist of multiple clauses and involve syntactic movement. RCs are known as a reliable clinical marker of syntactic impairment across many different languages and populations. Children with autism spectrum disorders (ASD) struggle with the comprehension and production of RCs,…
Descriptors: Hebrew, Task Analysis, Error Analysis (Language), Autism Spectrum Disorders
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Heejin Choi – British Journal of Religious Education, 2025
This article explores the possibility of cultivating a just "habitus" through intercultural wisdom of women in religious education. Drawing insights from different cultural and feminist perspectives, it highlights the transformative power of the intercultural wisdom of women. Black womanist voices emphasise creating safe spaces for…
Descriptors: Females, Feminism, Religious Education, Cognitive Processes
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Isabel R. Rodríguez-Ortiz; Francisco J. Moreno-Pérez; David Saldaña – Journal of Deaf Studies and Deaf Education, 2025
Difficulties in monitoring reading comprehension result in poor comprehension. One key aspect of monitoring is metacomprehension, which refers to one's awareness of one's own reading comprehension. Previous studies have observed difficulties in metacomprehension among the deaf or hard-of-hearing (DHH) population. This study aims to determine…
Descriptors: Deafness, Hearing Impairments, Students with Disabilities, Reading Comprehension
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Paul Riser – English in Education, 2025
This study examines how secondary English teachers embed generative Artificial Intelligence (AI) in their curricula while preserving genuine student voice and promoting informed approaches to academic integrity. Data was gathered in three public high schools by way of classroom videos, teacher interviews, and student reflective journals. Analysis…
Descriptors: Ethics, English Instruction, Teaching Methods, Artificial Intelligence
Johann Engelbrecht, Editor; Greg Oates, Editor; Marcelo de Carvalho Borba, Editor – Springer, 2025
This edited volume gathers contributions from international scholars focusing on social media's role and impact on mathematics education. Social media's integration into pedagogical strategies (from social networking sites to video-sharing platforms) offers the opportunity to enhance learning by fostering connectivity and engagement among…
Descriptors: Mathematics Education, Social Media, Peer Teaching, Cooperative Learning
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Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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