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Jiahe Gu; Zi Yan – Journal of Educational Computing Research, 2025
Generative artificial intelligence (GenAI) has the potential to change student learning. Despite the popularity of integrating this novel technology into teaching and learning practices, few meta-analyses have synthesised its effect in the education context with K-12 and college students. This review examined the effects of GenAI interventions on…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Academic Achievement
Ragan, Daniel T.; Osgood, D. Wayne; Ramirez, Nayan G.; Moody, James; Gest, Scott D. – Sociological Methods & Research, 2022
The current study compares estimates of peer influence from an analytic approach that explicitly address network processes with those from traditional approaches that do not. Using longitudinal network data from the PROmoting School-community-university Partnerships to Enhance Resilience peers project, we obtain estimates of social influence on…
Descriptors: Peer Influence, Social Networks, Network Analysis, Regression (Statistics)
Sat, Mustafa; Ilhan, Fatih; Yukselturk, Erman – Education and Information Technologies, 2023
Although there has been a growing interest in the use and adoption of augmented reality (AR) technology in educational institutions recently, there is limited research dwelling on pre-service teachers' technical and pedagogical preparation for AR technology. This study investigated teacher candidates' perceptions concerning their learning and…
Descriptors: Comparative Analysis, Computer Simulation, Technology Uses in Education, Interaction
Goswami, Rekha; Garner, Shelby L.; George, Carol Elizabeth – Health Education Journal, 2023
Objective: Mobile health (mHealth) technologies are a rapidly evolving field in India and are increasingly being used to address noncommunicable diseases, such as type 2 diabetes mellitus (T2DM). However, few studies have addressed user perceptions of T2DM mHealth applications (apps) in India. The purpose of this study was to determine the…
Descriptors: Diabetes, Telecommunications, Handheld Devices, Health Services
Laurie-Anne Sapey-Triomphe; Gaëtan Sanchez; Marie-Anne Hénaff; Sandrine Sonié; Christina Schmitz; Jérémie Mattout – npj Science of Learning, 2023
Predictive coding theories suggest that core symptoms in autism spectrum disorders (ASD) may stem from atypical mechanisms of perceptual inference (i.e., inferring the hidden causes of sensations). Specifically, there would be an imbalance in the precision or weight ascribed to sensory inputs relative to prior expectations. Using three tactile…
Descriptors: Autism Spectrum Disorders, Tactual Perception, Sensory Integration, Comparative Analysis
Guangrui Fan; Dandan Liu; Rui Zhang; Lihu Pan – International Journal of STEM Education, 2025
Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Programming
Yubin Xu; Lin Liu; Jianwen Xiong; Guangtian Zhu – Journal of Baltic Science Education, 2025
As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…
Descriptors: Physics, Artificial Intelligence, Computer Software, Accuracy
Hao Yu; Yunyun Guo; Hailiang Yang; Weiyu Zhang; Yan Dong – European Journal of Education, 2025
In the era of accelerating globalization, the necessity for multilingual education is increasingly prominent. This study investigates the effectiveness of the AI-based chatbot ChatGPT in multilingual teaching applications. This study employs a quasi-experimental research methodology to examine the experiences of 100 international students at a…
Descriptors: Artificial Intelligence, Comparative Analysis, Multilingualism, Computer Software
Özge Kübra Yilmaz; Selami Aydin – Reading Research Quarterly, 2025
Reading motivation is critical in learning English as a foreign language (EFL). Therefore, insufficient reading motivation leads to several problems concerning the learners' reading development. One of the strategies to maintain and boost learners' motivation is integrating artificial intelligence (AI) tools into language teaching practices. One…
Descriptors: Reading Materials, Reading Motivation, English (Second Language), Second Language Learning
Sümeyra Tosun – Cognitive Research: Principles and Implications, 2024
Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…
Descriptors: Bilingualism, Turkish, English (Second Language), Second Language Learning
Fernando Almeida; Zoltan Buzady – Technology, Knowledge and Learning, 2024
This study explores the contribution of serious game teaching technology, such as FLIGBY, to the development of entrepreneurial learning outcomes in the context of an entrepreneurship course in higher education. The sample is composed of 551 students through the construction of a randomized pretest-posttest control group. A quantitative…
Descriptors: Entrepreneurship, Outcomes of Education, Comparative Analysis, Game Based Learning
Davoodifard, Mahshad – Studies in Applied Linguistics & TESOL, 2022
While investigating plagiarism is relevant in different fields, verification of original authorship has also attracted attention in academia and L2 learning and assessment contexts. Generally associated with academic misconduct and dishonesty, plagiarism in writing can take many shapes and be hard to detect. In addition to being a very…
Descriptors: Plagiarism, Second Language Learning, Second Language Instruction, Authors
Peng Wang; Kexin Yin; Mingzhu Zhang; Yuanxin Zheng; Tong Zhang; Yanjun Kang; Xun Feng – Education and Information Technologies, 2025
In the era of educational informatization, nurturing critical thinking skills has become a central focus. However, the current state of Chinese students' critical thinking development is concerning, prompting researchers to explore effective enhancement strategies. Based on constructivist learning theory, this study leveraged the advancements in…
Descriptors: Critical Thinking, Skill Development, Artificial Intelligence, Computer Software
Maro, Marin Salome; Kondoro, Aron; Haßler, Björn; Mtebe, Joel; Proctor, Jamie – Journal of Learning for Development, 2023
Low-powered mobile devices such as Raspberry Pis and tablets can be used as microservers to implement offline Learning Management Systems (LMS). Despite their potential, especially for low-income countries, such as Tanzania, no research is available detailing the affordances of these devices for supporting LMS features. This study investigated the…
Descriptors: Foreign Countries, Learning Management Systems, Developing Nations, Costs
Kevin C. Haudek; Xiaoming Zhai – International Journal of Artificial Intelligence in Education, 2024
Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…
Descriptors: Accuracy, Persuasive Discourse, Artificial Intelligence, Learning Management Systems

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