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Cynthia F. Dicarlo; Margaret-Mary Sulentic Dowell; Michelle Fazio-Brunson; Sarah W. Gauthreaux – Child & Youth Care Forum, 2025
Background: Early childhood leadership leads to positive outcomes for young children, including social competence. Objective: The purpose of the present study was to examine the leadership behavior exhibited by three preschool aged children and to determine if teacher prompting could increase the frequency of leadership behaviors exhibited by…
Descriptors: Preschool Children, Skill Development, Student Development, Teaching Methods
Ha Nguyen; Jake Hayward – Journal of Science Education and Technology, 2025
High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…
Descriptors: Science Tests, Criticism, Artificial Intelligence, Technology Uses in Education
Yufeng Qian – Journal of Educational Computing Research, 2025
The effectiveness of generative AI tools in education depends largely on prompt engineering--the practice of designing inputs and interactions that guide AI systems to produce relevant, high-quality outputs. This systematic literature review examines empirical studies published since the release of ChatGPT in late 2022, identifying two broad…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prompting, Engineering
Gulnoza Yakubova; Melissa A. Defayette; Stuti Gupta; Anthony L. Proulx; Yewon Lee – Journal of Special Education Technology, 2025
The purpose of this two-experiment study was to examine the effectiveness of an online, synchronous video modeling multicomponent intervention (guided practice, self-monitoring checklist, and prompting) when teaching secondary level mathematical and geometry skills to an autistic high school student. We used a multiple probe baseline across…
Descriptors: Program Effectiveness, Video Technology, Modeling (Psychology), Intervention
Ha Nguyen; Victoria Nguyen; Sara Ludovise; Rossella Santagata – Learning, Media and Technology, 2025
Generative Artificial Intelligence (AI) technologies, including large language models (LLMs) that can generate novel text output, present promise for creating tailored science communication for broad audiences. However, LLMs might reflect inaccuracies and social biases from their training sources. In this work, we examine the promises and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Climate, Environmental Education
Park, Jongchan; Park, Chaeyeon; Jung, Hyojung; Kim, Dongsik – Journal of Computer Assisted Learning, 2020
In case library learning, an instructional method that promotes case-based problem solving, learners often struggle with indexing cases. Poor case indexing may hamper retention and retrieval of cases, hindering the construction of mental libraries in learners. To address this issue, the authors developed two indexing prompt types,…
Descriptors: Case Method (Teaching Technique), Problem Solving, Prompting, Persuasive Discourse
Hiller, Sara; Rumann, Stefan; Berthold, Kirsten; Roelle, Julian – Instructional Science: An International Journal of the Learning Sciences, 2020
In learning from examples, students are often first provided with basic instructional explanations of new principles and concepts and second with examples thereof. In this sequence, it is important that learners self-explain by generating links between the basic instructional explanations' content and the examples. Therefore, it is well…
Descriptors: Problem Solving, Test Format, Prompting, Learning Strategies
Vasa Buraphadeja; Donyawan Chantokul – International Journal on E-Learning, 2024
This study examines the effectiveness of a custom-designed chatbot in a blended learning environment, focusing on its adherence to instructional guidelines and its impact on student engagement. The chatbot was designed to prompt students with questions about concepts related to various academic majors, encourage elaboration on their responses, and…
Descriptors: Learner Engagement, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Katz, Sarah – Journal of Special Education Technology, 2021
Students with developmental disabilities and communication delays, particularly autism spectrum disorder (ASD), participate in academic instruction through a continuum of services and environments. This includes the use of web-conferencing and screen-sharing platforms to deliver instruction across a variety of settings. The use of systematic…
Descriptors: Technology Uses in Education, Videoconferencing, Prompting, Students with Disabilities
Li, Kun; Johnsen, Justin; Canelas, Dorian A. – British Journal of Educational Technology, 2021
Goal setting is an important component in successful teaching and learning, but relatively little is known about its impact on course persistence and achievement in massive open online courses. Using an experimental design and employing a variety of data including student writings, content-related assignment attempts, and quantitative achievement…
Descriptors: Academic Persistence, Academic Achievement, Performance Factors, Goal Orientation
Strauß, Sebastian; Rummel, Nikol – International Journal of Computer-Supported Collaborative Learning, 2021
Unequal participation poses a challenge to collaborative learning because it reduces opportunities for fruitful collaboration among learners and affects learners' satisfaction. Social group awareness tools can display information on the distribution of participation and thus encourage groups to regulate the distribution of participation. However,…
Descriptors: College Students, Cooperative Learning, Student Participation, Equal Education
Earnest, Darrell; Chandler, John – Journal for Research in Mathematics Education, 2021
This article investigates the interplay of time words with how children position hands on an analog clock. Using a mathematics discourse framework (Sfard, 2008), we analyzed how students interpreted precise (e.g., 2:30) and relative (e.g., half past 11) times, finding that particular words are dynamically interwoven with activity. Interviews with…
Descriptors: Elementary School Students, Elementary School Mathematics, Arithmetic, Fractions
Nguyen, Ha; Lopez, John; Homer, Bruce; Ali, Alisha; Ahn, June – Information and Learning Sciences, 2023
Purpose: In the USA, 22-40% of youth who have been accepted to college do not enroll. Researchers call this phenomenon summer melt, which disproportionately affects students from disadvantaged backgrounds. A major challenge is providing enough mentorship with the limited number of available college counselors. The purpose of this study is to…
Descriptors: Design, Artificial Intelligence, Man Machine Systems, Interaction
Gasamis, Colin; Sanders, Elizabeth; Hudson, Roxanne F.; Chiou, Michelle – Remedial and Special Education, 2023
Calls for interventions in early childhood that best prepare children with autism spectrum disorder (ASD) to have inclusive school experiences have been numerous. Although there is a developing literature on the efficacy of interactive book reading (IBR) for this population, it is still unclear which aspects of IBR benefit these children and in…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Inclusion, Preschool Children
Zheng, Xudong; Ma, Yunfei; Yue, Tingyan; Yang, Xianmin – Educational Technology Research and Development, 2023
The purpose of this study was to investigate the effects of different types of cues and self-explanation prompts in instructional videos on intrinsic motivation, learning engagement, learning outcomes, and cognitive load, which were indicators to measure deep learning performance. Seventy-two college students were randomly assigned to one of the…
Descriptors: Cues, Reflection, Prompting, Video Technology

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