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Hui-Chen Lin; Hsin Huang; Chia-Kuang Tsai; Shao-Chen Chang – British Journal of Educational Technology, 2025
Dementia patients may have language barriers and decreased comprehension ability. Their family caregivers can feel frustrated when communicating with them. Poor communication hinders family caregivers from obtaining accurate health information about patients, and may also increase their emotional burden, affecting patient care quality. The present…
Descriptors: Dementia, Patients, Language Impairments, Communication Problems
Bart Rienties; Ruslan Ramanau – British Journal of Educational Technology, 2025
Following the conceptualisation of a third space of internationalisation at a distance (IaD) in this study, we aim to explore how international students at the largest university in Europe, the Open University, might consider their own identities and perspectives. At present over 5000+ international students study at a distance at the Open…
Descriptors: Foreign Countries, Foreign Students, Global Approach, Computer Mediated Communication
Jiarui Xie; Ana-Paula Correia – British Journal of Educational Technology, 2024
Asynchronous online discussion is a learning activity commonly used in online teaching. The way instructors participate in asynchronous online discussions significantly impacts students' learning outcomes. This systematic review aims to determine the effects of instructor participation in asynchronous online discussions on student performance by…
Descriptors: Teacher Participation, Asynchronous Communication, Electronic Learning, Academic Achievement
Daian Huang; Jenna Mittelmeier – British Journal of Educational Technology, 2025
This research explores and compares the learning ecologies of international students studying through internationalisation at a distance (IaD) and internationalisation abroad (IA) by investigating their experiences of first year of master's study with a UK university. We do so by using our previously proposed Revised Ecological Systems Theory as a…
Descriptors: Foreign Countries, Foreign Students, Global Approach, Student Experience
Liu, Sannyuya; Hu, Tianhui; Chai, Huanyou; Su, Zhu; Peng, Xian – British Journal of Educational Technology, 2022
Studying the networked nature of social and cognitive aspects of learner interactions is the key to understanding how successful collaborative learning occurs in asynchronous online discussion forums (AODFs). Guided by network science and multiplex network analysis, this study compared the differences of network structure and properties between…
Descriptors: Interaction, Computer Mediated Communication, Asynchronous Communication, Interpersonal Communication
Cynthia M. D'Angelo; Robin Jephthah Rajarathinam – British Journal of Educational Technology, 2024
This descriptive study focuses on using voice activity detection (VAD) algorithms to extract student speech data in order to better understand the collaboration of small group work and the impact of teaching assistant (TA) interventions in undergraduate engineering discussion sections. Audio data were recorded from individual students wearing…
Descriptors: Undergraduate Students, Engineering Education, Teaching Assistants, Cooperative Learning
Kyungmee Lee; Yiyi Mao – British Journal of Educational Technology, 2025
This qualitative case study examines the concept of 'internationalisation at a distance (IaD)' by investigating the learning and academic socialising experiences of international students in online higher education (HE). Amid the evolving landscape of global HE, the COVID-19 pandemic has accelerated the adoption of distance education, creating a…
Descriptors: Global Approach, Computer Mediated Communication, Intercultural Communication, Foreign Students
Glenn G. Smith; Michael B. Sherry – British Journal of Educational Technology, 2025
Authentic dialogue demands that we respond, interpret and sometimes disagree with others' ideas--a key component of participation in a democratic society. Yet the sharing and uptake of different ideas can be hampered by traditional online platforms which divide students into isolated threads. To tackle this issue, we introduce two novel online…
Descriptors: Graduate Students, Student Attitudes, Interpersonal Communication, Dialogs (Language)
Yi Zhang; Caixia Liu; Yana Xing; Zhongling Pi; Jiumin Yang – British Journal of Educational Technology, 2024
This study investigated the effects of two types of oral explanations (ie, self-explanation vs. instructional explanation) and drawing activity (no drawing vs. drawing) on video learning outcomes. These outcomes were measured by visual attention to the video (indexed by fixation time on text and diagram areas), explanation quality (indexed by…
Descriptors: Speech Communication, Video Technology, Audiovisual Aids, Undergraduate Students
Sinem Aslan; Lenitra M. Durham; Nese Alyuz; Rebecca Chierichetti; Pete A. Denman; Eda Okur; David I. Gonzalez Aguirre; Julio C. Zamora Esquivel; Hector A. Cordourier Maruri; Sangita Sharma; Giuseppe Raffa; Richard E. Mayer; Lama Nachman – British Journal of Educational Technology, 2024
Previous research showed that the parents acknowledged the technology's benefits for their young children's learning, however, they are still worried about the extended screen time, lack of physical activity and lack of social interactions. To address these concerns, we developed Kid Space to enable pedagogically appropriate technology use for…
Descriptors: Parents, Young Children, Artificial Intelligence, Interpersonal Communication
Daniel G. Krutka; Spencer P. Greenhalgh – British Journal of Educational Technology, 2025
The affinity space framework has proven useful for explaining and understanding teacher activity on social media platforms. In this study, we explore the 'dark side' of teacher affinity spaces by documenting a partisan teachers' group on an alternative social media platform. We used a mix of a priori and emergent coding to analyse screenshots of…
Descriptors: Faculty Development, Social Media, Communities of Practice, Computer Mediated Communication
Nuodi Zhang; Fengfeng Ke; Chih-Pu Dai; Sherry A. Southerland; Xin Yuan – British Journal of Educational Technology, 2025
Preparing preservice teachers (PSTs) to be able to notice, interpret, respond to and orchestrate student ideas--the core practices of responsive teaching--is a key goal for contemporary science and mathematics teacher education. This mixed-methods study, employing a virtual reality (VR)-supported simulation integrated with artificial intelligence…
Descriptors: Preservice Teachers, Preservice Teacher Education, Artificial Intelligence, Computer Simulation
Erqi Zhang; Zhaoli Zhang; Hai Liu; Shuyun Han; Zengcan Xue – British Journal of Educational Technology, 2025
Asynchronous online discussions (AODs) are increasingly prevalent in higher education to adapt to educational changes and promote critical thinking among learners. Past research has emphasized instructors' facilitation roles in encouraging learners' critical thinking in AODs, while fewer studies explored peer facilitation and peer participants'…
Descriptors: Asynchronous Communication, Online Courses, Discussion (Teaching Technique), Critical Thinking
Qingtang Liu; Xinxin Zheng; Yaoyao Liu; Linjing Wu; Si Zhang; Ni Zhang; Qiyun Wang – British Journal of Educational Technology, 2024
Problem-oriented teaching (POT) activities are important in classroom instruction. The level of student response can be influenced by different teacher behaviours in POT. However, the characteristics of teachers' multimodal behaviours at different levels of response are unclear. This study applied epistemic network analysis to explore the…
Descriptors: Teacher Characteristics, Teaching Methods, Learning Activities, Problem Solving
Lin Li; Namrata Srivastava; Jia Rong; Quanlong Guan; Dragan Gaševic; Guanliang Chen – British Journal of Educational Technology, 2025
The use of predictive analytics powered by machine learning (ML) to model educational data has increasingly been identified to exhibit bias towards marginalized populations, prompting the need for more equitable applications of these techniques. To tackle bias that emerges in training data or models at different stages of the ML modelling…
Descriptors: Bias, Attitude Change, Prediction, Learning Analytics

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