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Information System for Learning Control in Teaching Russian Sign Language: Process and Data Modeling
Logachev, Maxim; Chernova, Vera; Laamarti, Yuliya; Makhamatov, Tair; Ivlev, Vitaliy; Giulodori, Lucio; Tutkova, Irina – International Journal of Instruction, 2022
The article describes project of the information system to control the teaching of Russian sign language. The aim of the conducted study is to consolidate existing algorithms and software tools to ensure the integrity, and objectivity in the implementation of professional training of specialists in the field of Russian sign language. The authors…
Descriptors: Russian, Sign Language, Information Systems, Databases
JonathanP. Antle; Jerry T. Godbout; Scott Simpson – Journal of Chemical Education, 2022
Students in an upper-level physical chemistry course utilized an open-sourced statistical software package to construct models fitted to experimental pressure-volume data. In the first part of the experiment, students familiarize themselves with model fitting. In the second part of the experiment, students determine which truncated version of the…
Descriptors: Chemistry, Science Instruction, Models, Goodness of Fit
Colin Madland; Maxwell Ofosuhene; Jennifer Adkins – OTESSA Conference Proceedings, 2022
As technology advances, people of colour often fall victim to algorithm racial bias. This paper focuses on the problem of digital tools that misidentify, fail to recognize, or erase people of colour. On a spectrum, these issues can range from the annoyance of making people of colour invisible during online meetings, to the endangerment of falsely…
Descriptors: Algorithms, Racism, Minority Groups, Videoconferencing
Wang, Jinghui; Wang, Dongshuo; Xing, Minjie – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study reported on a flipped classroom approach used in a Business Chinese (BC) course in the UK. The research methods were 36 hours of classroom observation, two focused-group interviews (n = 6, 50 minutes each), triangulated with students' feedback from National Student Survey (NSS). The class observation revealed that the…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Video Technology
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Ming Li; Ariunaa Enkhtur; Beverley Anne Yamamoto; Fei Cheng; Lilan Chen – Open Praxis, 2025
Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing usage of GAI by students, faculty, and staff in higher education institutions (HEIs), it is urgent to examine the ethical issues and potential biases associated with this…
Descriptors: Artificial Intelligence, Ethics, Technology Integration, Computer Software
Stefano Scippo; Serena Madiai; Stefano Cuomo – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aims to assess the effectiveness of a tessellation-based instructional program supported by digital technologies for enhancing geometric learning in primary school pupils. Background: Digital education offers various benefits, including increased motivation and engagement, and has been shown to be effective in teaching…
Descriptors: Mathematics Instruction, Geometry, Computer Assisted Instruction, Elementary School Students
Hyunkyung Lee; Lynette Mott Bryan – Professional Development in Education, 2025
Artificial Intelligence (AI) is increasingly embedded in daily life, transforming how we process information, analyse data, and communicate. As AI enables new forms of interaction, educators need to assess its implications for teaching and learning. This study examines how AI tools, specifically ChatGPT, were integrated into preservice teacher…
Descriptors: Barriers, Technology Integration, Artificial Intelligence, Computer Software
Conrad Oh-Young; Michael Karlin – TEACHING Exceptional Children, 2025
ChatGPT, an artificial intelligence (AI) large language model system, has taken the world by storm. Fearful that students would use ChatGPT to circumvent the learning process, multiple school districts in the U.S. have outright banned its use. Despite this, there are some who suggest that ChatGPT has the potential to reshape the field of education…
Descriptors: Early Childhood Education, Special Education, Artificial Intelligence, Computer Software
P. Spangenberger; N. Matthes; F. Kapp; L. Kruse; J. L. Plass – Educational Technology Research and Development, 2025
An increasing number of studies has observed that immersive virtual reality (iVR) technology using head-mounted displays (HMDs) can facilitate learning outcomes. However, most studies have been exploratory and were executed in laboratory settings instead of being implemented and orchestrated in authentic teaching settings. Furthermore, iVR design…
Descriptors: Computer Software, Technology Uses in Education, Authentic Learning, Learning Processes
Rumeysa Demir; Metin Demir – Educational Process: International Journal, 2025
Background/purpose: This study aims to reveal in detail the extent to which the variables in The Primary and Secondary Education Institutions Scholarship Examination (PSEISE) predict the success of students on the scholarship exam with the help of artificial neural networks (ANN). In addition, in light of the findings obtained as a result of the…
Descriptors: Elementary Secondary Education, Foreign Countries, Artificial Intelligence, Computer Software
Angel Mukuka; Jogymol Kalariparampil Alex – Journal of Mathematics Teacher Education, 2025
Research on Mathematics Teacher Educators (MTEs) is crucial for enhancing the professional development of prospective mathematics teachers. However, there is a dearth of recent studies focusing on MTEs' preparedness for technology integration, particularly within the Zambian educational context, and the wider Sub-Saharan African region. This study…
Descriptors: Profiles, Teacher Educators, Readiness, Technology Integration
Md Al Amin; Yang Sok Kim; Mijin Noh – Education and Information Technologies, 2025
The introduction of artificial intelligence technologies like ChatGPT has brought a revolution in various sectors, including higher education. The study aims to examine the drivers that influence ChatGPT adoption among students in higher studies in Bangladesh. This study combined UTAUT model components with constructs such as perceived knowledge…
Descriptors: Trust (Psychology), Artificial Intelligence, Computer Software, Social Influences
Stephanie Jean Tsang – Journal of Media Literacy Education, 2025
Through in-depth interviews with junior high school teachers in Hong Kong who participated in a media and artificial intelligence literacy program intervention, this research highlights the importance of prioritizing values and ethics education over technical proficiency when incorporating artificial intelligence (AI) into media literacy training.…
Descriptors: Information Literacy, Teaching Methods, Junior High School Students, Media Literacy
Pamela P. Rogers; Charlotte Allen; Antoine Busby – Journal of Marketing Education, 2025
Artificial intelligence (AI) is revolutionizing and transforming industries around the globe. Through the exploration of various AI applications in teaching, research, and administrative tasks, this article illuminates both the potential and limitations of AI for enhancing faculty productivity while improving their effectiveness and innovation in…
Descriptors: Marketing, Business Education, Artificial Intelligence, Computer Software

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