Philosophical stances and design frameworks, such as value-sensitive design, manifest in design praxis through enacting specific design approaches and employing a variety of methods by the designers. Although it could overlap with other frameworks and approaches in the Instructional Design and Technology (IDT) field, value-sensitive design remains…

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…

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…

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,…

High dropout rates and low pass rates are prevalent problems encountered by online learning platforms, which greatly hinder the development of online education. Drawing upon the theory of attention allocation, this study aimed to investigate the factors influencing the effectiveness of Massive Open Online Courses (MOOCs), as well as the potential…

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.…

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…

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…

This design-based research project explored how various design features of AR-based learning environments (ARLE) influence students' mathematics self-efficacy and learning of kinematics. Specifically, five ARLEs with different design features were developed and implemented with 136 seventh-grade students in two rounds. Data were gathered from pre-…

Cognitive load is a critical internal state associated with learners' learning process and significantly influences learning outcomes. With the worldwide popularity of video-based learning (VBL), tracking real-time cognitive load variations becomes more and more important for the timely provision of adaptive learning support during the learning…

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…

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…

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…

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…

While offering the potential to support learning interactions, emerging AI applications like Large Language Models (LLMs) come with ethical concerns. Grounding technology design in human values can address AI ethics and ensure adoption. To this end, we apply Value-Sensitive Design--involving empirical, conceptual and technical investigations--to…