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Jiangyi Cui; Ruijiao Li; Qiushu Chen; Libin Liu; Xuan Zhao; Kai Liu; Huiliang Shang – International Journal of Technology in Education and Science, 2025
Face anonymization in intelligent experimental education is crucial for privacy protection. This paper presents a novel, real-time face blurring system for smart experimental settings. Our key contributions include: 1) customized YOLOv8 (Multi-Scale Feature Fusion YOLOv8) algorithm achieving 96% accuracy at 22.67 fps for 1080p video. 2) An…
Descriptors: Privacy, Experiments, Confidentiality, Ethics
Preet Chandan Kaur; Leena Ragha – Education and Information Technologies, 2025
Video summarization is a method of deducing the content of video content for generating a summary in video format. The generated summary should have the significant segments of raw video. Recently, the content of video has been rapidly increasing, thus automatic video summarization is beneficial for individuals who want to keep time and learn more…
Descriptors: Semantics, Video Technology, Audio Equipment, Linguistic Input
Nicolas Loiseau; Adrien Bruni; Pierre Puigpinos; Jean-Christophe Sakdavong – International Association for Development of the Information Society, 2024
This paper explores the concept of self-efficacy and its impact on individual performance on a mobile learning application. Self-efficacy refers to one's belief in their ability to achieve their goals and is a key factor in everyday life. To investigate the relationship between self-efficacy and performance, we conducted an experiment with 104…
Descriptors: Self Efficacy, Telecommunications, Handheld Devices, Computer Software
Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Belle Li; Curtis J. Bonk; Chaoran Wang; Xiaojing Kou – IEEE Transactions on Learning Technologies, 2024
This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators' language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19…
Descriptors: Independent Study, Language Acquisition, Artificial Intelligence, Computer Mediated Communication
Janet Ruppert; Diego Velazquez-Ramos; Ricarose Roque; R. Benjamin Shapiro – Learning, Media and Technology, 2024
Learning around artificial intelligence (AI)-powered technologies that attends to power is an urgent and widely felt priority among the learning sciences and CS ed broadly. Popular approaches to AI education focus on technical skills, with far less theoretical and practical work around critical and justice-centered AI learning. Adding to this…
Descriptors: Artificial Intelligence, Art, Workshops, Aesthetic Education
Vera Kempe; Patricia J. Brooks; Steven Gillis – Language Teaching Research Quarterly, 2024
The Child Language Data Exchange System (CHILDES), created by Brain MacWhinney and Catherine Snow in 1984, is one of the earliest Open Science and data sharing initiatives in child language development research, and probably in developmental psychology and the behavioral sciences more generally. It is the cornerstone of TalkBank--a repository of…
Descriptors: Databases, Child Language, Language Acquisition, Language Research
Albert Rof Bertrans; Andrea Bikfalvi; Pilar Marques – International Journal of Distance Education Technologies, 2025
Led by artificial intelligence (AI), digital technologies are acting as a lever for significant change in higher education. Innovative formats such as macrolearning, the concatenation of a significant number of microlearning units, are consequently emerging. The purpose of this paper is to explore students' preferences for macrolearning programmes…
Descriptors: Preferences, Student Attitudes, Artificial Intelligence, Computer Software
David R. Firth; Jason Triche – Information Systems Education Journal, 2024
Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the "Introduction to Management Information Systems" classroom at both the undergraduate and graduate levels, we…
Descriptors: Information Systems, Artificial Intelligence, Information Science Education, Computer Software
João Arantes do Amaral – Journal of Open, Flexible and Distance Learning, 2024
This article presents findings from a massive, free-of-charge online extension course titled Systems Thinking, which was conducted in Brazil in May and June 2024. The course engaged 345 participants. The research aimed to analyse how students' backgrounds, learning methods, and use of AI tools influenced learning outcomes. A mixed-method approach…
Descriptors: Cognitive Style, MOOCs, Outcomes of Education, Artificial Intelligence
Stolzenberger, Christoph; Frank, Florian; Trefzger, Thomas – Physics Education, 2022
With the help of augmented reality apps objects and text can be added virtually to the physical world (e.g. physical experiments) in real time. The augmented reality (AR) app 'PUMA: "Spannungslabor"' enhances simple electric circuits experiments for students with virtual representations based on the electron gas analogy including…
Descriptors: Physics, Science Instruction, Energy, Artificial Intelligence
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
Dimitrova, Vania; Mitrovic, Antonija – International Journal of Artificial Intelligence in Education, 2022
Video-based learning is widely used today in both formal education and informal learning in a variety of contexts. Videos are especially powerful for transferable skills learning (e.g. communicating, negotiating, collaborating), where contextualization in personal experience and ability to see different perspectives are crucial. With the ubiquity…
Descriptors: Artificial Intelligence, Video Technology, Teaching Methods, Transfer of Training
Kim, Hyounghun – ProQuest LLC, 2022
Since most worldly phenomena can be expressed via language, language is a crucial medium for transferring information and integrating multiple information sources. For example, humans can describe what they see, hear and feel, and also explain how they move with words. Conversely, humans can imagine scenes, sounds, and feelings, and move their…
Descriptors: Video Technology, Task Analysis, Language Role, Artificial Intelligence
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

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