With the ability to predict learning behaviors, artificial intelligence (AI) is increasingly involved in assessing the performance of problem solving. This study explored the potential of AI to predict whether mathematics problems could be solved based on eye movements and handwriting in a digital problem-solving environment. Sixty-one students…

In this paper the potentiality of meaning generation in a constructionist environment through an interplay between problem solving and problem posing is examined. The meaning-making process is examined by following how a Grade-10 student is engaged in an iterative cycle of reformulating and solving the initial problem within a Logo-based…

This article explores public employment service (PES) guidance practitioners' interpretations of and approaches to building working relationships with their clients in the context of different kinds of institutional expectations placed on client work. The study was conducted in the context of the recently reformed Finnish PES and focused on new…

Mathematics intervention research has established several effective interventions for building accuracy and fluency of math fact computation, as well as components that may improve student learning rates. While several evidence-based interventions promoting math fact accuracy and fluency exist, further work is needed to determine additional…

In the present study, we explored whether future teachers considered spatial skills to be built up slowly and incrementally (incremental view) or considered spatial skills to be an innate, static aptitude (entity view). We also examined whether these views were associated with personal spatial skills, confidence in spatial problem-solving, or…

"Productive Struggle: How Artificial Intelligence is Changing Learning, Effort, and Youth Development in Education," recently released by Bellwether, considers the role of GenAI in education. It proposes a criterion for evaluating these new technologies' impact on student learning: When does ease afforded by GenAI enable greater…

Diffusion is a critical component of the Physiology Core Concept of flow down gradients and is fundamental to understanding how ions, gases, or signaling molecules travel short distances in the body. When asked about diffusion, students often reason successfully using the "things move from areas of high to low concentration" heuristic…

The use of digital technologies in teaching and learning processes has opened new and wide frontiers in mathematics education. Research in education moves towards teaching and learning (and assessing) twenty-first-century skills and computer-based testing seems an interesting possibility for assessing such skills. From this perspective, comparing…

Computational Thinking (CT) skills are increasingly recognized as essential for junior high school students, especially in addressing the demands of the digital era. This study explores how CT skills--decomposition, pattern recognition, abstraction, and algorithmic thinking--manifest in learning statistics based on students' cognitive abilities. A…

Rapid technological advancements are reshaping pedagogical expertise development, offering novel pathways to equip educators with 21st-century professional competencies. This study proposes an innovative artificial intelligence (AI)-driven professional development approach and investigates its impact on student teachers' competence development. In…

This study investigates design students' perspectives on future work environments shaped by the evolving paradigms of Industry 5.0 and Society 5.0, with a focus on their views of work communities, technological advancements and systemic problem-solving. The concept of resilience is used as an analytical lens. The study explores the relevance of…

Much attention has been paid to computational thinking (CT) as a problem-solving approach across various curricula, particularly in mathematics. Most studies solely used a digital instrument or examined transfer of program solving ability, neglecting the mathematics knowledge domain or how the novel digital instrument functions alongside the…

Math problem solving frequently involves choices among alternative strategies. Strategy choices, and effects of problem features on strategy choices, both vary among individuals. We propose that individual differences in strategy choices can be well characterized in terms of parametric variation in three types of influence: global bias, relevant…

Incorporating open-ended real-world tasks enhances students' access to mathematical and real-life knowledge and maximizes learning experiences. This article examines how a secondary mathematics teacher used an open-ended problem on distributing pay raises to teach mathematical concepts and fairness to students. The teacher's actions exemplify…

Problem-solving ability was one of the competencies that students had to have, but it became more important when learning mathematics. Quite a lot of research has studied this ability, but not much has studied how to optimise it, especially using didactical design research based on lesson study. Participants in this research were 10 students…