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Samantha R. Goldman; Juli Taylor; Adam Carreon; Sean J. Smith – Journal of Special Education Technology, 2024
There is a nationwide shortage of special education teachers (SETs) due, in part, to unmanageable workload expectations, which has reached crisis level. SETs are expected to modify, adapt, and accommodate general education curriculum to meet the needs of their students, communicate and collaborate with parents and general education teachers, and…
Descriptors: Artificial Intelligence, Special Education Teachers, Intelligent Tutoring Systems, Faculty Workload
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Gina Paola Barrera Castro; Andres Chiappe; Diego Fernando Becerra Rodríguez; Felipe Gonzalo Sepulveda – Electronic Journal of e-Learning, 2024
Personalized learning, a pedagogical approach tailored to individual needs and capacities, has garnered considerable attention in the era of artificial intelligence (AI) and the fourth industrial revolution. This systematic literature review aims to identify key drivers of personalized learning and critically assess the role of AI in reinforcing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Role Theory
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Derar Serhan; Natalie Welcome – International Journal of Technology in Education and Science, 2024
Educators are faced with the sudden infiltration of AI, including artificially intelligent tools that generate content far more sophisticated than any prior technological advancement. In this study, the researchers investigated the use of ChatGPT (currently the most used generative AI tool) as a means of learning Calculus. The study examined…
Descriptors: Technology Uses in Education, Artificial Intelligence, Calculus, Mathematics Instruction
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Paul P. Martin; Nicole Graulich – Journal of Science Education and Technology, 2024
Students who learn the language of instruction as an additional language represent a heterogeneous group with varying linguistic and cultural backgrounds, contributing to classroom diversity. Because of the manifold challenges these students encounter while learning the language of instruction, additional barriers arise for them when engaging in…
Descriptors: Second Language Learning, Language of Instruction, Student Diversity, Barriers
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Ye Yuan; Huan Li; Anan Sawaengdist – Language Learning in Higher Education, 2024
This study attempts to explore the impact of ChatGPT on EFL learners' English writing and how this benefits from it. The three research objectives are to explore the reasons why EFL learners choose to use ChatGPT for their academic English writing, to examine how it affects EFL learners' academic English writing and define the challenges and…
Descriptors: Second Language Learning, English (Second Language), Computer Uses in Education, Artificial Intelligence
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Mike Douse – Educational Planning, 2024
This article addresses how those who plan education will be profoundly affected by Artificial Intelligence and suggests ways in which the potential benefits may be optimised. UNESCO's contributions to the AI debate are recognised and applauded, despite AI having, as yet, no direct voice in its discussions. Most significantly, there is a widespread…
Descriptors: Artificial Intelligence, Curriculum Development, Technology Uses in Education, Educational Technology
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Akiyo Hirai; Angelina Kovalyova – Language Learning & Technology, 2024
Speech-to-text applications have great potential for helping students with English language comprehension and pronunciation practice. This study explores the functionality of five speech-to-text (STT) applications (Google Docs voice typing tool, Apple Dictation, Windows 10 Dictation, Dictation.io [a website service], and "Transcribe" [an…
Descriptors: Assistive Technology, English Language Learners, English (Second Language), Articulation (Speech)
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Lin Wu – Journal of Autism and Developmental Disorders, 2024
The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a special group about to enter society, studying the mental health of college students in foreign…
Descriptors: Second Language Learning, Student Adjustment, Mental Health, Artificial Intelligence
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Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
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Shiyan Jiang; Jeanne McClure; Cansu Tatar; Franziska Bickel; Carolyn P. Rosé; Jie Chao – British Journal of Educational Technology, 2024
This study addresses the need for inclusive AI education by focusing on marginalized female students who historically lack access to learning opportunities in computing. It applies the theoretical framework of intersectionality to understand how gender, race and ethnicity intersect to shape these students' learning experiences and outcomes.…
Descriptors: Artificial Intelligence, Computer Uses in Education, Inclusion, Disproportionate Representation
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Songhee Han; Min Liu – Educational Technology & Society, 2024
This paper describes our equity-driven development of a chatbot curriculum for a journalism professional development center's massive open online courses (MOOCs). A curriculum refers to entire student experiences that occur during the whole learning process in this context. We used a sequential and iterative development process with four phases to…
Descriptors: Computer Software, Artificial Intelligence, MOOCs, Journalism
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Karolína Dockalová Burská; Jakub Rudolf Mlynárik; Radek Ošlejšek – Education and Information Technologies, 2024
In cyber security education, hands-on training is a common type of exercise to help raise awareness and competence, and improve students' cybersecurity skills. To be able to measure the impact of the design of the particular courses, the designers need methods that can reveal hidden patterns in trainee behavior. However, the support of the…
Descriptors: Computer Science Education, Information Security, Computer Security, Training Methods
Melissa A. Otero – ProQuest LLC, 2024
With the advent of ChatGPT and other artificial intelligence (AI) tools, students have a new instrument that can create writing samples for them, making it easy to violate academic integrity. A constructivist grounded theory multiple-case study was conducted to address faculty perceptions of ChatGPT as a tool for learning and teaching instead of a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Cheating
Preyadarshini Panday-Shukla – ProQuest LLC, 2024
This dissertation consists of two separate studies exploring current and emerging technologies for education. The current technology is presented in the first study as an open educational resource (OER) for language learning. This study explored the affordances of OERs for language by comparing a traditional textbook and an OER web-book in terms…
Descriptors: Educational Technology, Open Educational Resources, Language Acquisition, Computer Assisted Instruction
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Amato Nocera; Victoria Newton; Shiyan Jiang – Theory and Research in Social Education, 2024
This article investigates students' engagement with a historical inquiry into redlining--a practice of discriminatory lending that originated in the 1930s as part of the New Deal. The authors developed and implemented a week-long curricular intervention for high school sophomores using StoryQ--an Artificial Intelligence (AI) textual modeling…
Descriptors: Urban Schools, Charter Schools, High School Students, Artificial Intelligence
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