This perspective piece explores the transformative potential and associated challenges of large language models (LLMs) in education and how those challenges might be addressed utilizing playful and game-based learning. While providing many opportunities, the stochastic elements incorporated in how present LLMs process text, requires domain…

In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…

The paper deals with the investigation of theoretical and practical issues on the organization and management of EFL peer learning. Lack of understanding of the mechanism of peer learning as a system of relationships and interactions hinders creating the conditions for effective education. The study aims to identify and systematize the key…

Advancing equity is a major challenge facing education systems globally. This creates an imperative for researchers to work with policymakers and practitioners to affect change. There have been many attempts to do this using various forms of action-oriented research and a considerable body of knowledge exists about their strengths and limitations.…

Anxiety disorders commonly occur in autism. Existing studies implicate intolerance of uncertainty, alexithymia, sensory processing differences and emotion regulation difficulties as influencing factors of anxiety in autism. To date, a few studies have considered the combination of these factors within the same sample. This study used structural…

Drug repurposing refers to the process of discovering new therapeutic uses for existing medicines. Compared to traditional drug discovery, drug repurposing is attractive for its speed, cost, and reduced risk of failure. However, existing approaches for drug repurposing involve complex, computationally-intensive analytical methods that are not…

Computational models are employed to study and respond to pressing environmental issues such as groundwater contamination. This use of computational models, which often involves algorithms and uncertainty that are hidden to the public, has implications for environmental science literacy. This study applies a design-based research approach to…

Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

Purpose: The emergence of internet-based business models has given rise to online higher education institutions (OHEIs) that offer their undergraduate and graduate degree programs exclusively online with minimal physical presence. Research on OHEIs discusses the need for external legitimacy and resource acquisition, often ignoring the role of…

Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…

Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…

The prediction of student performance and the analysis of students' learning behaviour play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behaviour, educators can gain valuable insights into the factors that influence students' academic outcomes and identify areas of…

Higher education institutions (HEIs) are encountering numerous challenges in today's era of globalization and internationalization. Among these challenges, digital transformation stands out as one of the most demanding, as it involves using ICT to transform business processes. The successful implementation of such systems and related services…

In recent years, a concerted effort has been made to integrate the various components of college and career military readiness (CCMR) studies. Research demonstrated that critical thinking skills, such as analysis, interpretation, problem-solving, and reasoning, are more crucial for success at the entry-level stages of college than mere knowledge…