In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…

At the beginning of the 21st century, "number sense" was listed as one of the core words in the mathematics curriculum of compulsory education in China, and it has now become one of the core competencies of primary school mathematics. It is necessary to determine the development of number sense of first-grade primary school students (6-7…

Although some studies have examined the effects of self-regulated learning (SRL) strategies on learning effectiveness, inconsistent results have been reported. Additionally, studies that adopt the perspective of SRL to evaluate the effect of metacognitive skills on students' actual learning effectiveness in digital game-based learning (DGBL)…

Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains--natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial…

Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…

This study explores the roles of students' help-seeking profiles when seeking help from AI chatbots, specifically ChatGPT, in a digital game-based learning environment, "Summon of Magicrystal." The study involved 102 middle school students who played an online game with the provision of ChatGPT and sought help from ChatGPT while solving…

There has been ongoing research into qualitative differentiation of university student learning outcomes but limited attempts to explain the extent to which material elements such as learning technologies contribute to these differences. A theory of materiality for the university student experience is essential if teachers are to design and teach…

Non-interactive teaching, in which students explain previously learned content to a non-present peer, is a generative learning activity that has gained increasing attention in recent years. While meta-analyses indicate small-to-moderate benefits, findings have been inconsistent, suggesting that its effectiveness depends on contextual factors.…

Background/purpose: This study aims to analyze the application and impact of dynamic assessment as an enhancement of deep learning in writing narratives for elementary school students. The main focus is DA can improve the quality of the learning process and outcomes through intervention, feedback, and reflective revision. Materials/methods: This…

In this article, we discuss the learning processes of our feminist fiction-based research, which makes visible the often forgotten and essentialized stories of Toronto-based women World War II workers. We describe this gendered war work through the lenses of intersectional feminism and feminist antimilitarism. We detail the power of fiction-based…

This book explores the multifaceted concept of learner voice in education, emphasising its significance across various contexts and historical periods. It brings together diverse perspectives from multiple authors, addressing how learner agency can shape educational practices and policies, particularly in contemporary settings. The chapters delve…

This study examines the needs assessment of design thinking to enhance innovative design competency in preservice teachers' learning management in Thailand. The research aimed to assess teaching performance and identify key areas for developing innovative design competency. A total of 346 pre-service teachers from universities across four regions…

Digital traces have been used to measure self-regulated learning (SRL), yet the validity of inferences made about these traces has often been questioned. Recently, researchers have used multiple channels of data -- including digital traces, verbalizations, and self-reports -- to validate inferences about individual SRL events. Research on the…

Recently, the field of adaptive learning has significantly attracted researchers' interest. Learning path adaptation problem (LPA) is one of the most challenging problems within this field. It is also a well-known combinatorial optimization problem, its main target is the knowledge resources sequencing offered to a specific learner with a specific…

This study investigated the effects of concept-oriented faded in worked-out examples (WOE) and metacognitive scaffolding on learners' transfer performance and motivation in programming education. Two types of faded in WOE and metacognitive scaffolding were provided. A total of 140 participants were randomly assigned into one of four groups, with…