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Lachheb, Ahmed; Abramenka-Lachheb, Victoria; Moore, Stephanie; Gray, Colin – British Journal of Educational Technology, 2023
Maintaining students' privacy in higher education, an integral aspect of learning design and technology integration, is not only a matter of policy and law but also a matter of design ethics. Similar to faculty educators, learning designers in higher education play a vital role in maintaining students' privacy by designing learning experiences…
Descriptors: Design, Ethics, Privacy, Instructional Design
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Giulia Cosentino; Jacqueline Anton; Kshitij Sharma; Mirko Gelsomini; Michail Giannakos; Dor Abrahamson – British Journal of Educational Technology, 2025
As AI increasingly enters classrooms, educational designers have begun investigating students' learning processes vis-à-vis simultaneous feedback from active sources--AI and the teacher. Nevertheless, there is a need to delve into a more comprehensive understanding of the orchestration of interactions between teachers and AI systems in educational…
Descriptors: Artificial Intelligence, Learning Processes, Instructional Design, Design
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Nadira Dayo; Sameh Said Metwaly; Wim Van Den Noortgate – British Journal of Educational Technology, 2024
Single-case experimental designs (SCEDs) may offer a reliable and internally valid way to evaluate technology-enhanced learning (TEL). A systematic review was conducted to provide an overview of what, why and how SCEDs are used to evaluate TEL. Accordingly, 136 studies from nine databases fulfilling the inclusion criteria were included. The…
Descriptors: Technology Uses in Education, Technology Integration, Educational Research, Evaluation Methods
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Matuk, Camillia; DesPortes, Kayla; Amato, Anna; Vacca, Ralph; Silander, Megan; Woods, Peter J.; Tes, Marian – British Journal of Educational Technology, 2022
Data-art inquiry is an arts-integrated approach to data literacy learning that reflects the multidisciplinary nature of data literacy not often taught in school contexts. By layering critical reflection over conventional data inquiry processes, and by supporting creative expression about data, data-art inquiry can support students' informal…
Descriptors: Information Literacy, Data, Art, Inquiry
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Markus Wolfgang Hermann Spitzer; Miguel Ruiz-Garcia; Korbinian Moeller – British Journal of Educational Technology, 2025
Research on fostering learning about percentages within intelligent tutoring systems (ITSs) is limited. Additionally, there is a lack of data-driven approaches for improving the design of ITS to facilitate learning about percentages. To address these gaps, we first investigated whether students' understanding of basic mathematical skills (eg,…
Descriptors: Mathematics Skills, Fractions, Prediction, Mathematical Concepts
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Lili Yan; Breanne K. Litts; Melissa Tehee; Stuart Baggaley; Jennifer Jenkins – British Journal of Educational Technology, 2025
Although education is framed as a future-oriented enterprise, we often fail to serve the diverse futurities of youth, particularly in formal learning environments. The cultural norms of formal learning environments are rooted in dominant ways of being and knowing and this shapes how learning environments and learning technologies can be designed.…
Descriptors: Student Projects, Cultural Awareness, Multimedia Materials, Design
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Kucirkova, Natalia; Gerard, Libby; Linn, Marcia C. – British Journal of Educational Technology, 2021
Advances in technology have increased the opportunities for designers to personalise instruction based on student actions. We conducted semi-structured interviews with an international sample of educational professionals including researchers, teachers and designers, and reviewed interdisciplinary literature on personalisation to propose a…
Descriptors: Individualized Instruction, Instructional Design, Educational Research, Problems
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Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Hyunju Oh – British Journal of Educational Technology, 2025
Mathematical stories can enhance students' motivation and interest in learning mathematics, thereby positively impacting their academic performance. However, due to resource constraints faced by the creators, generative artificial intelligence (GAI) is employed to create mathematical stories accompanied by images. This study introduces a method…
Descriptors: Mathematics Education, Story Telling, Readability, Artificial Intelligence
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Sangmin-Michelle Lee; Sung-Yeon Kim – British Journal of Educational Technology, 2025
Teachers who know what, how and why to teach are essential for successful student learning. However, many preservice teachers (PSTs) lack teaching experience and the ability to integrate theory and practice. To help bridge this gap, this study employed a learning-by-design project approach in which 22 Korean PSTs developed lesson plans for middle…
Descriptors: Preservice Teachers, Preservice Teacher Education, Learning Processes, Design
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Nicole M. Hutchins; Gautam Biswas – British Journal of Educational Technology, 2024
This paper provides an experience report on a co-design approach with teachers to co-create learning analytics-based technology to support problem-based learning in middle school science classrooms. We have mapped out a workflow for such applications and developed design narratives to investigate the implementation, modifications and temporal…
Descriptors: Problem Based Learning, Teaching Methods, Science Instruction, Learning Analytics
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Isabel Hilliger; Constanza Miranda; Sergio Celis; Mar Pérez-Sanagustín – British Journal of Educational Technology, 2024
Several studies have indicated that stakeholder engagement could ensure the successful adoption of learning analytics (LA). Considering that researchers and tech developers may not be aware of how LA tools can derive meaningful and actionable information for everyday use, these studies suggest that participatory approaches based on human-centred…
Descriptors: Learning Analytics, Higher Education, Stakeholders, College Curriculum
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Gibson, David; Kovanovic, Vitomir; Ifenthaler, Dirk; Dexter, Sara; Feng, Shihui – British Journal of Educational Technology, 2023
This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal…
Descriptors: Learning Theories, Artificial Intelligence, Learning Processes, Evaluation Criteria
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Pi, Zhongling; Zhang, Yabo; Yu, Qiuchen; Zhang, Yi; Yang, Jiumin; Zhao, Qingbai – British Journal of Educational Technology, 2022
Instructors' speech and gestures are tightly integrated. However, little is known about the neural mechanisms by which different types of gestures affect learning. We conducted two experiments on the effects of gestures in video lectures that included an instructor and slides, with English vocabulary as the topic. In Experiment 1, we manipulated…
Descriptors: Teacher Behavior, Nonverbal Communication, Video Technology, Lecture Method
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Ryan Hare; Sarah Ferguson; Ying Tang – British Journal of Educational Technology, 2025
With increasing interest in computer-assisted education, AI-integrated systems become highly applicable with their ability to adapt based on user interactions. In this context, this paper focuses on understanding and analysing first-year undergraduate student responses to an intelligent educational system that applies multi-agent reinforcement…
Descriptors: Student Experience, Educational Games, Design, Learning Experience
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Rizwaan Malik; Dorna Abdi; Rose Wang; Dorottya Demszky – British Journal of Educational Technology, 2025
Despite well-designed curriculum materials, teachers often face challenges implementing them due to diverse classroom needs. This paper investigates whether large language models (LLMs) can support middle school math teachers by helping create high-quality curriculum scaffolds, which we define as the adaptations and supplements teachers employ to…
Descriptors: Curriculum Design, Instructional Materials, Artificial Intelligence, Curriculum Implementation
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