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Huifeng Mu; Christian D. Schunn – International Journal of Educational Technology in Higher Education, 2025
Peer feedback can be highly effective for learning, but only when students give detailed and helpful feedback. Peer feedback systems often support student reviewers through instructor-generated comment prompts that include various scaffolding features. However, there is little research in the context of higher education on which features tend to…
Descriptors: Peer Evaluation, Feedback (Response), Program Effectiveness, College Students
Wei Ping Sze; Jane Warren; Carol Sacchett; Wendy Best – International Journal of Language & Communication Disorders, 2025
Background: Current clinical approaches to the treatment of spoken word-finding difficulties in acquired aphasia encourage multimodal cueing, especially the joint application of written and spoken forms. Research that exclusively examines the effects and mechanisms of written cues is limited, with most studies engaging written forms only as part…
Descriptors: Oral Language, Chronic Illness, Aphasia, Orthographic Symbols
Oscar Stuhler; Cat Dang Ton; Etienne Ollion – Sociological Methods & Research, 2025
Generative AI (GenAI) is quickly becoming a valuable tool for sociological research. Already, sociologists employ GenAI for tasks like classifying text and simulating human agents. We point to another major use case: the extraction of structured information from unstructured text. Information Extraction (IE) is an established branch of Natural…
Descriptors: Artificial Intelligence, Sociology, Social Science Research, Natural Language Processing
Inka Sara Hähnlein; Pablo Pirnay-Dummer – Educational Technology Research and Development, 2024
Multiple document comprehension and knowledge integration across domains are particularly important for pre-service teachers, as integrated professional knowledge forms the basis for teaching expertise and competence. This study examines the effects of instructional prompts and relevance prompts embedded in pre-service teachers' learning processes…
Descriptors: Preservice Teachers, Prompting, Cues, Learning Processes
Nicholas, Mark C.; McConnell, Kate Drezek – Assessment Update, 2023
In response to the national excitement around course embedded assessment, various campuses and state-wide college systems engaged in faculty development in assignment prompt development drawn from the literature focused on creating assignments for the classroom. However, while the literature is replete with frameworks, templates, guides,…
Descriptors: Institutional Evaluation, Assignments, Design, Evaluation Methods
Vangsness, Lisa; Young, Michael E. – Metacognition and Learning, 2021
Accurate metacognitive monitoring improves performance in a variety of naturalistic contexts. However, the laboratory contexts used to study metacognition differ from naturalistic environments in important ways. Specifically, laboratory experiments require learners to make repeated, overt judgments that are thought to reflect underlying…
Descriptors: Metacognition, Prompting, Accuracy, Cues
Heidi L. Masters; Pamela S. Lottero-Perdue; Nicora Placa; Enrique Galindo; Jamie N. Mikeska; Heather Howell – School Science and Mathematics, 2025
Providing opportunities for students to talk directly with their peers is a critical dimension to facilitating discussions in mathematics and science, including argumentation-focused discussions in which students construct arguments and critique others' arguments. Research suggests that supporting student-to-student talk and facilitating…
Descriptors: Peer Relationship, Interpersonal Communication, Preservice Teachers, Elementary School Teachers
Jiyeon Park; Sam Choo – Journal of Special Education Technology, 2025
Generative AI, such as ChatGPT, produces personalized and contextually relevant content based on user prompts (inputs provided by users). These prompts act as the primary form of interaction between users and AI models, making their quality essential for generating the most relevant outputs. The process of writing, refining, and optimizing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prompting, Relevance (Education)
Pamela Mae Cerrado; Auxencia Limjap – Mathematics Teaching Research Journal, 2025
Assessments play a pivotal role in Mathematics education, serving as vital gauges of students' mathematical proficiency and informing teaching strategies. Despite calls for contextualization, some educators still rely on abstract teaching methods and decontextualized tasks. This study aims to address these concerns by designing and implementing a…
Descriptors: Mathematics Education, Metacognition, Prompting, Grade 9
Lisa Swindull – Journal of the American Academy of Special Education Professionals, 2025
This paper aims to inform other practitioners working with students with autism spectrum disorder about how to create and implement activity schedules for use in schools. This paper includes a review of research regarding the effectiveness of activity schedules on on-task behavior and the ability to transition. Creating these schedules has been…
Descriptors: Students with Disabilities, Autism Spectrum Disorders, Scheduling, Activities
Gal Sasson Lazovsky; Tuval Raz; Yoed N. Kenett – Journal of Creative Behavior, 2025
As artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…
Descriptors: Creativity, Questioning Techniques, Inquiry, Artificial Intelligence
Cariveau, Tom; Ellington, Paige; Brown, Alexandria; Platt, Delanie F. – Education and Treatment of Children, 2023
Previous research on training auditory-visual conditional discriminations (AVCDs) have compared several prompt types including gestural, positional, and identity-matching prompts. Other prompting procedures, such as those that involve the manipulation of the comparison array, have received less attention in the applied literature. For example, the…
Descriptors: Auditory Discrimination, Visual Discrimination, Training, Conditioning
Alfredo J. Leon; Dinesh Vidhani – Journal of Chemical Education, 2023
Artificial intelligence (AI) technology has the potential to revolutionize the education sector. This study sought to determine the efficacy of ChatGPT to correctly answer questions a learner would use and to elucidate how the AI was processing potential prompts. Our goal was to evaluate the role of prompt formats, response consistency, and…
Descriptors: Artificial Intelligence, Educational Technology, Program Effectiveness, Prompting
Neslihan Canpolat-Cig; Mary Frances Hanline – International Technology and Education Journal, 2025
This study examined an intervention package incorporating an iPad-based augmentative and alternative communication (AAC) application, Proloquo2Go, to improve wh-question-answering skills in a 15-year-old adolescent with autism. A single-case, multiple baseline design across three types of wh-questions ("what," "where," and…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Augmentative and Alternative Communication, Communication Skills
Ecenur Demir; Adem Akbiyik – Education and Information Technologies, 2025
Digital nudging is a subtle technique used to guide individuals' behaviors and influence their decision-making processes in online environments. This study highlights the critical role of digital nudging in enhancing the educational experiences of students in distance learning settings. It suggests that digital nudges can mitigate some of the…
Descriptors: Electronic Learning, Prompting, Educational Technology, Distance Education

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