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Direct linkLaura Iseut Lafrance St-Martin; Stéphane Villeneuve – Cogent Education, 2024
This paper presents the results of a systematic literature review concerning the actual and future uses of chatbots (artificial conversation agents) in youth bullying cases. The study found that while artificial intelligence is highly regarded as an interesting tool by researchers, the technology is not yet good enough to intervene in crisis…
Descriptors: Artificial Intelligence, Bullying, Children, Adolescents
Zixi Li; Chen Feng – International Journal of Designs for Learning, 2024
This design case focused on the design of an intervention set aimed at capturing and sharing tacit knowledge in the workplace. The design case demonstrated the design process of expanding a single chatbot intervention into a comprehensive hybrid intervention set to cooperate with learners of different technology competencies and learning needs.…
Descriptors: Knowledge Level, Technological Literacy, Intervention, Knowledge Management
Yasmine Belghith; Mark Riedl; Roxanne Moore; Meltem Alemdar; Jessica Roberts – Information and Learning Sciences, 2025
Purpose: Challenges in teaching the engineering design process (EDP) at the high-school level, such as promoting good documentation practices, are well-documented. While developments in educational artificial intelligence (AI) systems have the potential to assist in addressing these challenges, the open-ended nature of the EDP leads to challenges…
Descriptors: Artificial Intelligence, Intervention, Engineering Education, Intelligent Tutoring Systems
Mahmoud Gharaibeh; Mohammad Nayef Ayasrah; Abdullah Ahmed Almulla – Education and Information Technologies, 2025
Dysgraphia is a learning disability that impairs children's written expression, mainly handwriting but also coherence at the same time. This research work was conducted to know the effectiveness of Chat Generative Pre-trained Transformer (ChatGPT)-based intervention, in assisting children with dysgraphia to enhance their writing skills. The…
Descriptors: Learning Disabilities, Writing (Composition), Artificial Intelligence, Program Effectiveness
Peidi Gu; Fang Xu; Lingwei Chen; Zijie Ma; Madian Zhang; Yi Zhang – Education and Information Technologies, 2025
Conversational skills, which are essential for effective social interactions and typically pose difficulties for individuals with autism spectrum disorder (ASD), include abilities such as initiating topics, engaging in back-and-forth dialog, and responding to conversational cues. Chatbots have been used in mental health fields, and the development…
Descriptors: Technology Uses in Education, Artificial Intelligence, Interpersonal Communication, Communication Skills
Zhiwei Liu; Haode Zuo; Yongjing Lu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, a generative artificial intelligence (GenAI) chatbot, has gained significant traction as a tool for supporting students learning. Despite its growing popularity, there is still no academic consensus on its effectiveness in enhancing students' academic achievement. Objectives: This study aims to explore the effect of ChatGPT on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Achievement, Meta Analysis
Maya Usher; Miri Barak – International Journal of STEM Education, 2024
As artificial intelligence (AI) technology rapidly advances, it becomes imperative to equip students with tools to navigate through the many intricate ethical considerations surrounding its development and use. Despite growing recognition of this necessity, the integration of AI ethics into higher education curricula remains limited. This paucity…
Descriptors: Artificial Intelligence, Ethics, Ethical Instruction, Online Courses
Jiahong Su; Weipeng Yang; Iris Heung Yue Yim; Hui Li; Xiao Hu – Journal of Computer Assisted Learning, 2024
Background: While the integration of robot-based learning in early childhood education has gained increasing attention in recent years, there is still a lack of evidence regarding the impact of AI robots on young children's learning. Objectives: The study explored the effectiveness of two AI education approaches in advancing kindergarteners'…
Descriptors: Early Childhood Education, Artificial Intelligence, Kindergarten, Program Effectiveness
Isabelle Préfontaine; Marc J. Lanovaz; Mélina Rivard – Journal of Autism and Developmental Disorders, 2024
Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Behavior Modification, Intervention
Jennifer Lalitha Flaubert, Rapporteur; Adrienne Formentos, Rapporteur; Erin Hammers Forstag, Rapporteur; Forum on Advancing Diagnostic Excellence, Contributor; Global Forum on Innovation in Health Professional Education, Contributor; Board on Global Health, Contributor; Board on Health Care Services, Contributor; Health and Medicine Division, Contributor – National Academies Press, 2025
Diagnostic errors are a significant patient safety concern, impacting millions of people across the United States each year. Strengthening education and training for all health care professionals involved in the diagnostic process is essential to improving diagnostic accuracy, timeliness of treatment, and patient outcomes. In April 2025, the…
Descriptors: Allied Health Occupations Education, Teaching Methods, Clinical Diagnosis, Feedback (Response)
Francesca Gottschalk; Crystal Weise – OECD Publishing, 2023
Digital technologies can be used to support the inclusion of diverse student groups in education in a number of ways including enhancing accessibility of educational content, increasing personalisation and providing distance learning opportunities, as was the case during the COVID-19 pandemic. However, persistent digital inequalities can undermine…
Descriptors: Access to Computers, Educational Technology, Inclusion, Equal Education
Juhee Lee – Language Learning & Technology, 2025
This study investigates how intelligent personal assistants (IPAs, e.g., Google Assistant), AI language learning applications, and peer interactions shape the learning experiences of 201 seventh-grade Korean EFL students. The students participated in a 12-week intervention and were categorized into four groups: Google Assistant, AI app, peer…
Descriptors: English (Second Language), Adolescents, Second Language Learning, Artificial Intelligence
Aliabadi, Roozbeh – ProQuest LLC, 2023
Artificial intelligence (AI) education in kindergarten through high school (K-12) is advancing in many countries, including the United States. The purpose of this research has been to better understand the impact of participation in an AI course on the sixth, seventh, and eighth-grade students' overall interest, career interest in AI, and…
Descriptors: Artificial Intelligence, Grade 6, Grade 7, Grade 8
Connie Levina Yuen; Nadja Schlote – Journal of Educational Technology Systems, 2024
This study examines learners' experiences and the use of language learning applications ("apps") as a primary source of "second or additional language learning" ("L2") instruction and assessment in higher education. It purviews the integration of artificial intelligence (AI)-powered features that support…
Descriptors: Handheld Devices, Learning Experience, Computer Oriented Programs, Artificial Intelligence
Angxuan Chen; Yuyue Zhang; Jiyou Jia; Min Liang; Yingying Cha; Cher Ping Lim – Journal of Computer Assisted Learning, 2025
Background: Language assessment plays a pivotal role in language education, serving as a bridge between students' understanding and educators' instructional approaches. Recently, advancements in Artificial Intelligence (AI) technologies have introduced transformative possibilities for automating and personalising language assessments. Objectives:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Language Tests
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