Multistage testing (MST), a variant of computerized adaptive testing (CAT), differs from conventional CAT in that it is adapted at the module level rather than at the individual item level. Typically, all examinees begin the MST with a linear test form in the first stage, commonly known as the routing stage. In 2020, Han introduced an innovative…

Several studies on student's understanding of the concept of the tangent line agree that the difficulties students have when dealing with lines tangent to curves at inflection points or tangent lines that have more than one point in common with the curve are due to a misconception of tangency that is limited to the geometric relationship between…

Background/purpose: There are two types of knowledge in an organization, namely tacit and explicit knowledge. This research aims to test the effects of the enhancement techniques of both types of knowledge on the principal's digital leadership and school organization improvement, to find the relationship among the variables, and to find effective…

MoleculeCrafter is a novel tool that facilitates the custom creation of flexible and modular macromolecular model kits. These models support student chemical education by providing a manipulable and visuospatial tool to facilitate exploration of chemical structures and their interactions. Here, for the first time, we demonstrate using…

This study builds on prior research on adaptive testing by examining the performance of item calibration methods in the context of multidimensional multistage tests with within-item multidimensionality. Building on the adaptive module-level approach, where test-takers proceed through customized modules based on their initial performance, this…

This study investigates a new model of Yellow River cultural education using virtual reality (VR) photography to enhance cultural learning and identity formation. A mixed-methods case study design was employed, with a focus on the Yellow River Guardian VR exhibition. The participants included 30 university students, 10 audience members, and 5…

Explanatory processes are at the core of scientific investigation, legal reasoning, and education. However, effectively explaining complex or large amounts of information, such as that contained in a textbook or library, in an intuitive, user-centered way is still an open challenge. Indeed, different people may search for and request different…

In recent years, the pre-training of Large Language Models (LLMs) in the educational domain has garnered significant attention. However, a discernible gap exists in the application of these models to mathematics education. This study aims to bridge this gap by pre-training LLMs on authentic K-12 mathematical dialogue datasets. Our research is…

This study addresses challenges in digital logic circuit practices by introducing an Arduino-based digital logic circuit practice board module (DLCPBM) designed to improve learning efficiency and sustainability. The DLCPBM comprises three module types that integrate theoretical knowledge with hands-on application, enabling students to intuitively…

Large language models (LLMs) hold significant potential to enhance online learning by automating responses to learner queries and offering personalized, scalable support. However, concerns about bias in LLM-generated responses present challenges to their ethical and equitable use in educational settings. This study explores fairness and…

Children are increasingly exposed to malicious actors online that could cause digital or even physical harm. Research shows that children know little about cybersecurity, but national organizations are emphasizing cybersecurity education. Practitioners have taught cybersecurity in many ways; however, none have utilized social robots to engage…

Libraries are increasingly adopting information and communication technologies to enhance their services. To ensure all libraries can benefit, regardless of budget, this study highlights gLabel, a freely available open-source tool for barcode label development. The purpose of this paper is to promote gLabel for low-budget libraries by exploring…

The purpose of this opinion piece is to explore the potential of ChatGPT as a virtual assistant for transnational educators in the context of Finnish education export. It examines the possibilities and limitations of utilising ChatGPT to support short-term teaching assignments abroad. Utilising Su and Yang's (2023) framework for using ChatGPT in…

A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners' autonomy during collaboration. In the present study, we compare an external collaboration…

This study investigates ChatGPT's perspectives on coding education for preschool children to provide a comprehensive understanding that is valuable for educators in early childhood education. An instrumental case study approach was employed, utilizing qualitative research design and case study methods. Data were gathered using a structured…