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Harry Barton Essel; Dimitrios Vlachopoulos; Henry Nunoo-Mensah; John Opuni Amankwa – British Journal of Educational Technology, 2025
Conversational user interfaces (CUI), including voice interfaces, which allow users to converse with computers via voice, are gaining wide popularity. VoiceBots allow users to receive a response in real-time, regardless of the communication device. VoiceBots have been explored in fields such as customer service to automate repetitive queries and…
Descriptors: Foreign Countries, Artificial Intelligence, Program Effectiveness, Undergraduate Students
Justin Edwards; Andy Nguyen; Joni Lämsä; Marta Sobocinski; Ridwan Whitehead; Belle Dang; Anni-Sofia Roberts; Sanna Järvelä – British Journal of Educational Technology, 2025
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Metacognition
Filip Moons; Alexander Holvoet; Katrin Klingbeil; Ellen Vandervieren – British Journal of Educational Technology, 2024
In this crossover experiment, we investigated the impact of a statement bank, enabling the reuse of previously written feedback (SA condition), on 45 math teachers' feedback for 60 completed linear equation tests, compared to traditional pen-and-paper feedback (PP condition). In the SA condition, teachers were encouraged to use atomic feedback, a…
Descriptors: Feedback (Response), Equations (Mathematics), Written Language, Mathematics Teachers
Fernández Herrero, Jorge; Gómez Donoso, Francisco; Roig Vila, Rosabel – British Journal of Educational Technology, 2023
To test the suitability of an automatic system for emotional management in the classroom following the control-value theory of achievement emotions (CVT) framework, the performance of an emotional expression recognition software of our creation is evaluated in an online synchronous context. Sixty students from the Faculty of Education at the…
Descriptors: Foreign Countries, Artificial Intelligence, College Students, Emotional Response
Pearson, Heather Ann; Montazami, Armaghan; Dubé, Adam Kenneth – British Journal of Educational Technology, 2023
Researchers recommend that parents look for five benchmarks as indicators of quality educational apps (ie, scaffolding, curriculum, development team, feedback, learning theory), yet results show that parents undervalue some of these benchmarks. The current study examined if a short video-based intervention would enhance parents' value-judgements…
Descriptors: Computer Software, Benchmarking, Video Technology, Intervention
Deho, Oscar Blessed; Zhan, Chen; Li, Jiuyong; Liu, Jixue; Liu, Lin; Duy Le, Thuc – British Journal of Educational Technology, 2022
With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention…
Descriptors: Ethics, Learning Analytics, Social Bias, Computer Software
Fatih Yavuz; Özgür Çelik; Gamze Yavas Çelik – British Journal of Educational Technology, 2025
This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
Sun, Geng; Lin, Jiayin; Shen, Jun; Cui, Tingru; Xu, Dongming; Kayastha, Mahesh – British Journal of Educational Technology, 2020
Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an…
Descriptors: Learning Activities, Data Analysis, Open Education, Computer Software
Cook, John; Mor, Yishay; Santos, Patricia – British Journal of Educational Technology, 2020
The paper contributes to design discourse by drawing on Educational Design Research (EDR) that has been conducted into what we call a Zone of Possibility (ZoP) over the past seven years. We define a ZoP as a place where individuals can overcome the constraints of expectations and power structures to effect desired change. Specifically, this paper…
Descriptors: Instructional Design, Power Structure, Computer Software, Social Environment
Artur Strzelecki; Sara ElArabawy – British Journal of Educational Technology, 2024
This study delves into the implications of incorporating AI tools, specifically ChatGPT, in higher education contexts. With a primary focus on understanding the acceptance and utilization of ChatGPT among university students, the research utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) as the guiding framework. The…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Student Behavior
Garrett, Nathan – British Journal of Educational Technology, 2021
Segmentation reduces learners' cognitive load by inserting system-controlled pauses into instructional animations and video. However, many previous studies focus on conceptual knowledge, and do not allow users control over the pacing of instruction. This two-part experiment attempted to validate segmentation in the context of procedural software…
Descriptors: Cognitive Processes, Difficulty Level, Intervals, Animation
Taylor, Gemma; Kolak, Joanna; Bent, Eve M.; Monaghan, Padraic – British Journal of Educational Technology, 2022
In the present paper, we assess whether website rating systems are useful for selecting educational apps for preschool age children. We selected the 10 highest scoring and 10 lowest scoring apps for 2-4-year-olds from two widely used websites (Good App Guide; Common Sense Media). Apps rated highly by the two websites had a higher educational…
Descriptors: Computer Software, Preschool Children, Psycholinguistics, Feedback (Response)
Kumar, Vishesh; Tissenbaum, Mike – British Journal of Educational Technology, 2022
This paper presents an implementation of Connected Spaces (CxS)--an ambient help seeking interface designed and developed for a project-based computing classroom. We use actor network theory (ANT) to provide an underutilized posthumanist lens to understand the creation of collaborative connections in this Computational Action-based implementation.…
Descriptors: Social Behavior, Cooperative Learning, Student Projects, Active Learning
Boggio, Cynthia; Zaher, Ahmed; Bosse, Marie-Line – British Journal of Educational Technology, 2023
The present study assessed the effectiveness of the ECRIMO educational application designed to build first-grade level spelling skills. We tested whether using the app to teach spelling would be as effective as providing the same training using traditional paper exercises. The effect of integrating gamification into mobile learning apps, which has…
Descriptors: Grade 1, Elementary School Students, Computer Software, Spelling Instruction
Kumi-Yeboah, Alex; Kim, YangHyun; Yankson, Benjamin; Aikins, Stephen; Dadson, Yvonne Appiah – British Journal of Educational Technology, 2023
The rapid increase and use of educational technologies have a significant impact on students' privacy, personal information and metadata in higher education. The past two decades have also witnessed the process where information about students is stored and handled outside premises and control of learning institutions. The personal information…
Descriptors: Student Attitudes, Privacy, Student Diversity, Cultural Differences