The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the…

The limitations of traditional education models and the advancement of technology have revealed the need to transform the learning experience. The "Flipped Learning" approach, born out of this need, is a model where students study learning materials in advance and participate in more interactive and hands-on activities in the classroom.…

Mathematical modelling and modelling activities are important for making sense of mathematical concepts in different extracurricular and daily life contexts. However, teachers may have difficulties in designing these activities in a way to establish meaningful relationships with real life, in accordance with the modeling process and the objectives…

The modeling approach is used to prepare students to become responsible citizens and face the challenges and demands of modern times, mainly when they engage in modeling activities using digital tools. This study investigates the features of digital tools used in modeling processes among prospective teachers. Thirty-two prospective mathematics…

Background: For decades, education researchers have relied on the work of Campbell, Cook, and Shadish to help guide their thinking about valid impact estimates in the social sciences (Campbell & Stanley, 1963; Shadish et al., 2002). The foundation of this work is the "validity typology" and its associated "threats to…

In recent years, knowledge tracing (KT) within intelligent tutoring systems (ITSs) has seen rapid development. KT aims to assess a student's knowledge state based on past performance and predict the correctness of the next question. Traditional KT often treats questions with different difficulty levels of the same concept as identical…

Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…

This study investigates the affective and performative effects of ludicization, i.e., the process of transforming the original contexts into immersive ludic experiences based on metaphorized desired behaviors and reflexive space, on language learning. The effects of ludicization are based on an integrated model involving multidimensional…

The continuing quest to ensure user acceptance is an ongoing management challenge and one that has occupied information systems researchers to such an extent that technology acceptance research is now considered to be among the more mature areas of exploration. Several models have been developed and validated in different contexts to help explain…

The key objective of this study was to reveal the key factors that impact university students' continued usage intentions with respect to Learning Management Systems (LMSs). Given the context-dependent nature of e-learning, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and extended with constructs principally…

Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…

This study based on the Hedonic Motivation System Adoption Model (HMSAM), the Expectation Confirmation Model (ECM), and Task Technology Fit (TTF), explores the factors influencing users' continuance intention in gamified learning within metaversity. A total of 286 valid questionnaires were collected using random sampling. The data were analyzed…

The rapid development of metaverse technology provides countless opportunities for social interaction, collaboration, communication, and knowledge-sharing that will significantly impact human life. To ensure widespread adoption and acceptance, however, issues concerning approval, accessibility, privacy, and user behavior must be resolved.…

Amid the rapid evolution of artificial intelligence (AI), the intricate model structures and opaque decision-making processes of AI-based systems have raised the trustworthy issues in education. We, therefore, first propose a novel three-layer knowledge tracing model designed to address trustworthiness for an intelligent tutoring system. Each…

Empirical studies demonstrate that students have some difficulties with the mathematical modeling process. Studies contain various applications for developing students' modeling competencies. This study investigated video-based modeling tasks' impact on modeling competencies with a descriptive design. In this context, it aims to compare…