Interdisciplinary learning requires students to integrate knowledge and methods from different disciplines, prompting advanced skills development and knowledge construction by connecting diverse subjects. Artificial Intelligence (AI), with its rich information base and abilities to track learning and provide personalized support, has the potential…

The reasons for teaching programming in school are indeed manifold. Programming can for example be utilized as a vehicle for understanding and learning particular mathematical subject matter, or as a tool for solving mathematical problems. In this paper, however, we propose to utilize programming as a vehicle for developing mathematical…

Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…

This research aims to develop an online Project-Based Collaborative Learning (PBL) model design by utilizing an asynchronous Online Discussion Forum (ODF) that can systematically direct teachers or lecturers as facilitators in learning, and how experts think about the design. Using the Research and Development (R&D) method, this design was…

Artificial Intelligence (AI) has brought about significant changes in our lives, making AI literacy a crucial endeavor for the future. Despite its growing importance in academia, there is limited empirical research on its impact on college students' higher order thinking skills (HOTS). The present study systematically and comprehensively explores…

This study aimed to develop a mentoring-based model for enhancing the action research (PAOR) competency of lead research teachers for the deaf in Thailand. The study employed a research and development (R&D) approach, consisting of four phases. Phase 1: Situation Analysis involved assessing the current research competency of 66 teachers at…

Driven by the digital education strategy, the field of higher education is undergoing accelerated transformation. As a core course in the field of finance and economics, the teaching model of public finance urgently needs innovation to meet the requirements of the "New Economics and Management" (NEM) strategy for cultivating high-quality…

In this paper, we describe two empirical studies that demonstrate the application and modeling of keystroke logs in writing assessments. We illustrate two different approaches of modeling differences in writing processes: analysis of mean differences in handcrafted theory-driven features and use of large language models to identify stable personal…

Indigenous community knowledge is indeed essential for the sustainable development of community and University-Industry Linkage (UIL) initiatives. It provides valuable local contextualized expertise, engages local indigenous stakeholders, bridges the gap between academia, industry, and the community, incorporates local traditions and indigenous…

Models are essential in science and therefore in scientific literacy. Therefore, pupils need to attain competency in the appropriate use of models. This so-called model--methodical competence distinguishes between model competence (the conceptual part) and modelling competence (the procedural part), wherefrom a definition follows a general…

In 2019, the Centers for Disease Control and Prevention's (CDC's) Youth Risk Behavior Survey found that 8% of youth in grades 9-12 reported being in a physical fight one or more times in the 12 months preceding the survey, with more than 7% reporting being threatened or injured with a weapon on school property. Homicide is the 3rd leading cause of…

California is one of just two states (with Kansas) that does not use a student-level growth model to measure school performance. This brief lays out a number of common beliefs about growth models and provides evidence that these beliefs are inaccurate or unsupported. In so doing, the brief makes a positive case that the state should adopt such a…

Academic institutions today are experiencing a legion of security risks that are increasingly impeding their mission of producing high-quality graduates, guarding reason and educational integrity, and ultimately advancing human civilisation. The Enterprise Security Risk Management (ESRM) model represents a potential solution to the dynamic threats…

Extreme response style (ERS), the tendency of participants to select extreme item categories regardless of the item content, has frequently been found to decrease the validity of Likert-type questionnaire results. For this reason, various item response theory (IRT) models have been proposed to model ERS and correct for it. Comparisons of these…

Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs.…