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Michael DeBuse; Dallin Clayton; Brooks Butler; Sean Warnick – International Journal of Artificial Intelligence in Education, 2024
This work considers group discussion data, as recorded in video conferencing settings, and demonstrates the ability to use readily available computational tools to glean important information characterizing the dynamics of the group discussion. In particular, our toolbox reveals a number of important characteristics of a discussion, including who…
Descriptors: Discussion (Teaching Technique), Discussion Groups, Group Dynamics, Group Discussion
Georgia Kokolaki; Giorgos Panselinas; Sofia Papadimitriou – European Journal of Open, Distance and E-Learning, 2025
The 'e-mediating' or otherwise 'five-stage' instructional design model for e-learning focusses on the construction of knowledge through the gradual development of socialisation. The study in hand aimed to capture the socialisation as it develops in an asynchronous teacher training course in Digital Literacy, designed and implemented with the…
Descriptors: Socialization, Online Courses, Teacher Education, Electronic Learning
Ashwaq Alsoubai – ProQuest LLC, 2024
Computational risk detection holds promise for shielding particularly vulnerable groups from online harm. A thorough literature review on real-time computational risk detection methods revealed that most research defined 'real-time' as approaches that analyze content retrospectively as early as possible or as preventive approaches to prevent risks…
Descriptors: Adolescents, Algorithms, Time, Computer Mediated Communication
Slavko Žitnik; Glenn Gordon Smith – Interactive Learning Environments, 2024
In the recent, and ongoing, COVID-19 pandemic, remote or online K-12 schooling became the norm. Even if the pandemic tails off somewhat, remote K-12 schooling will likely remain more frequent than it was before the pandemic. A mainstay technique of online learning, at least at the college and graduate level, has been the online discussion. Since…
Descriptors: Grade 4, Elementary School Students, Discussion, Automation
Yawen Yu; Yang Tao; Gaowei Chen; Can Sun – Journal of Computer Assisted Learning, 2024
Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning…
Descriptors: Learning Analytics, College Students, Epistemology, Computer Mediated Communication
Seongheui Baek; Yoon-Hee Ha; Sonya N. Martin – Asia-Pacific Science Education, 2024
This study comprehensively explores cogenerative dialogue in science education from a sociocultural perspective. Analyzing 120 papers and theses from January 2001 to December 2022 in Korean and English journals, we examine their objectives, themes, methods, learners, educational levels, participants, researcher roles, coteaching connections, and…
Descriptors: Science Education, Educational Trends, Trend Analysis, Content Analysis
Dilek Girit Yildiz; Esila Müftüoglu – Turkish Journal of Education, 2025
The aim of this study is to reveal and evaluate the attending and interpreting skills of student thinking of prospective teachers, as well as their instructional suggestions as responding skills. The current study was conducted with 29 prospective mathematics teachers (PMTs) within a qualitative design in the context of probability. First, three…
Descriptors: Thinking Skills, Preservice Teachers, Probability, Middle School Students
Julie Smith – Education 3-13, 2024
This small-scale study explored the presence of collaborative metacognitive talk (CMT) during collaborative problem solving (CPS) in a Scottish primary mathematics class. Content analysis was conducted on student and teacher group interactions during CPS (n = 12 students in 3 groups × 3 sessions). The largest proportion of CMT was…
Descriptors: Metacognition, Cooperation, Problem Solving, Discussion (Teaching Technique)
K. Bret Staudt Willet; Hunhui Na – Online Learning, 2024
The emergence of generative artificial intelligence (GenAI) has ignited debates regarding its potential benefits and detriments for education. Despite widespread discussions, insights into GenAI's impact on education have been limited because early studies have often been narrow in scope and focused on specific contexts. Therefore, the purpose of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Web Sites
Trude Hoel; Margrethe Jernes – Early Years: An International Journal of Research and Development, 2024
The scope of digital children's books is increasing rapidly; however, the quality of these books needs consideration in view of the educational context in which they are to be read. In this article, we present seven key strands to support early childhood teachers in selecting high quality for shared dialogue-based reading with groups of children.…
Descriptors: Electronic Books, Picture Books, Childrens Literature, Quality Assurance
A Closer Look at 4C Skills Integration in English for Nursing Textbooks: A Content Analysis Approach
Fitri Handayani; M. Zaim; Havid Ardi – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
This study investigated the integration of 21st-century skills, specifically the 4C skills (critical thinking, communication, collaboration, and creativity), in English textbooks used in first-year nursing programs across seven universities in West Sumatra, Indonesia. The study employed a content analysis approach, combining quantitative and…
Descriptors: Nursing Education, Content Analysis, 21st Century Skills, English (Second Language)