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Alison M. O'Connor; Jennifer Gongola; Kaila C. Bruer; Thomas D. Lyon; Angela D. Evans – Applied Cognitive Psychology, 2025
The accurate detection of children's truthful and dishonest reports is essential as children can serve as important providers of information. Research using automated facial coding and machine learning found that children who were asked to lie about an event were more likely to look surprised when hearing the first question during an interview…
Descriptors: Deception, Nonverbal Communication, Recognition (Psychology), Children
Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
Yamada, Taketo; Matsuura, Kenji; Takeuchi, Hironori; Kashihara, Akihiro; Yamasaki, Kenichi; Kurita, Genta – International Association for Development of the Information Society, 2022
It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely. This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance. A present proposing function for successful area detection offers drivers an opportunity to compare their…
Descriptors: Motor Vehicles, Traffic Safety, Specialists, Comparative Analysis
Christopher E. Gomez; Marcelo O. Sztainberg; Rachel E. Trana – International Journal of Bullying Prevention, 2022
Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or emotional distress. This serious form of aggression is frequently targeted at, but not limited to, vulnerable populations. A common problem when creating machine learning models to identify cyberbullying is the availability of accurately annotated,…
Descriptors: Video Technology, Computer Software, Computer Mediated Communication, Bullying
Jaeho Jeon; Seongyong Lee – Educational Technology & Society, 2024
Flipped learning is gaining prominence in EFL classrooms, where it has been shown to provide various advantages. However, the literature has not adequately addressed the integration of L2 interaction outside the classroom into flipped learning design. Accordingly, given the ubiquitous and interactive nature of chatbot technology, we designed a…
Descriptors: Flipped Classroom, English (Second Language), Second Language Learning, Second Language Instruction
Fidan, Mustafa; Gencel, Nurgun – Journal of Educational Computing Research, 2022
This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…
Descriptors: Academic Achievement, Learning Motivation, Video Technology, Comparative Analysis
Zhu, Fangfang; Yang, Jiumin; Pi, Zhongling – Educational Technology Research and Development, 2022
Language learning has long been a topic of interest, and instructional videos which allow students to learn anywhere and anytime have become an important language learning tool. However, the emotional characteristics of both instructors and students, which have the potential to influence students' second language learning from instructional…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, Language Teachers
Svitlana Mykytiuk; Olena Lysytska; Oleksandr Chastnyk; Serhii Mykytiuk – IAFOR Journal of Education, 2025
The study explored the educational potential of the application of student-generated digital visual content for learning English as a second language (ESL) by undergraduate students enrolled in the course Foreign Language which is actually Introduction to Legal English. This study used a mixed-methods approach. The researchers designed a…
Descriptors: Artificial Intelligence, Visual Aids, Teaching Methods, English (Second Language)
Gafarov, Fail M.; Nikolaev, Konstantin S.; Ustin, Pavel N.; Berdnikov, Andrey A.; Zakharova, Valeria L.; Reznichenko, Sergey A. – EURASIA Journal of Mathematics, Science and Technology Education, 2021
The development and improvement of effective tools for predicting human behavior in real life through the features of its virtual activity opens up broad prospects for psychological support of the individual. The presence of such tools can be used by psychologists in educational, professional and other areas in the formation of trajectories of…
Descriptors: Social Media, Social Networks, Behavior Patterns, Prediction
Limei Shan – International Journal of Technology in Teaching and Learning, 2023
This paper explores the impact of AI applications in adaptive learning on learners with varying levels of Chinese proficiency and diverse learning needs. The study investigates the robustness of VR technology in enhancing Chinese oral proficiency and pragmatic skills among 1st year and 2nd year learners. It compares the established VR app Mondly…
Descriptors: Artificial Intelligence, Chinese, Second Language Learning, Second Language Instruction
Barba, Kimberly – Journal of Mathematics Education at Teachers College, 2020
Mathematics problems are shared rapidly across all social media platforms, and the relative anonymity granted to users can lead to unfiltered discourse. This study examined 1,046 comments from a mathematics problem posted twice to YouTube in February 2016 to determine the underlying narratives that indicate the commenters' mathematical mindsets…
Descriptors: Social Media, Mathematics Instruction, Problem Solving, Discourse Analysis
Pistoro, Kalynn Hall; Brady, Michael P.; Kearney, Kelly; Downey, Angelica – Education and Training in Autism and Developmental Disabilities, 2018
Recent research has shown the effectiveness of literacy-based behavioral interventions (LBBIs) as an instructional strategy for a host of skills and routines, including employment skills. This study compared the effects of three LBBI storybook formats (print, e-book, and e-book enhanced with video clips) on the accuracy and independent completion…
Descriptors: College Students, Developmental Disabilities, Comparative Analysis, Intervention
Jamie J. Jirout; Sierra Eisen; Zoe S. Robertson; Tanya M. Evans – Grantee Submission, 2022
Play is a powerful influence on children's learning and parents can provide opportunities to learn specific content by scaffolding children's play. Parent-child synchrony (i.e., harmony, reciprocity and responsiveness in interactions) is a component of parent-child interactions that is not well characterized in studies of play. We tested whether…
Descriptors: Play, Mothers, Parent Child Relationship, Executive Function
Güler, Sevgi Gülçin; Buyukkarci, Kagan – Journal of Educational Technology, 2020
This study aimed to find out impact of captioned authentic videos on learning collocations and content comprehension in foreign language learning. Participants of the study comprised of 7th grade state school students in Isparta, Turkey. In this experimental study, mixed method design was administered. For the quantitative research design a…
Descriptors: Visual Aids, Video Technology, Phrase Structure, Second Language Learning
Barnes, Erica M.; Dickinson, David K. – Early Education and Development, 2018
Research Findings: Mental state verbs (MSV), a component of literate and academic language, may facilitate vocabulary growth, as they relate to metacognitive and metalinguistic awareness as well as decontextualized talk, all of which have been associated with vocabulary growth. In this study, we examined teacher MSV use in group content…
Descriptors: Vocabulary Development, Metacognition, Language Usage, Verbs
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