Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…

This study aims to provide recommendations for interaction design to enhance students' task interpretation, as one of the crucial aspects of Self-Regulated Learning (SRL) in online learning environments. Utilizing the Engineering Design Metacognitive Questionnaire (EDMQ), open-ended questions, and in-depth interviews, this study examines the…

This study investigates the integration of adaptive e-learning and gamification through a platform called NgodingSeru.com to improve problem-solving skills in programming among vocational high school students. The adaptive system offers personalized learning by adjusting task difficulty to student's proficiency levels, while gamification elements…

Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this…

Over the past few decades, advances in computing power and the widespread adoption of the Internet have completely transformed the ways that people obtain information, communicate, educate, and conduct business. Unfortunately, access to technology and to the training required to use technology are not equitably distributed in the United States,…

Design problems are often ill-structured as the requirements are broadly defined and have multiple correct solutions. Experts solve such problems by applying various cognitive and metacognitive skills before the formal specifications and solution designs are documented. Novices often need help solving ill-structured design problems as they lack…

This paper explores the experiences and learning outcomes of preservice elementary teachers (PSTs) as they integrate computational thinking (CT) into their teaching practices during a structured field experience. Through a qualitative content analysis of video reflections from 27 PSTs, the study examines how teaching CT lessons to K-2 students…

This article is a survey of the major achievements China has made in digital education since the introduction of the Education Informatization 2.0 Action Plan. Drawing on the existing research literature and relevant reports from the Ministry of Education of China, the study looks at the outcomes of digital education in China in six dimensions:…

The emergence of generative AI tools like ChatGPT has sparked investigations into their applications in teaching and learning. In computer programming education, efforts are underway to explore how this tool can enhance instructional practices. Despite the growing literature, there is a lack of synthesis on its use in this field. This rapid review…

This study provides a thorough bibliometric analysis of the research landscape concerning the application of soft computing in higher education. This study collects 5,140 pieces including books, book chapters, journal articles published in respected journals, and conference papers presented at notable international conferences that were published…

In recent years, the intersection of music and coding has emerged as a cross-disciplinary approach to engage learners in both musical and computational expression. This article examines the motivations and framing of recent music and coding research through an analysis of 65 articles published between 2004 and 2024. We survey the key findings of…

As Virtual Reality (VR) gains traction in education, its potential to support neurodivergent learners in cybersecurity training remains underexplored. This emerging technology report examines how VR can bridge the gap between STEM education and cybersecurity training for neurodivergent individuals, highlighting both its promise and the challenges…

The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…

Teachers play a critical role in shaping students' education outcomes in increasingly digital learning environments, in exploiting the benefits of education technology and in protecting students from the risks of digital resources. Rather than reproducing traditional teaching practices in a digital format, effective digital education requires…

Contemporary education calls for innovative strategies to move away from traditional teacher-centered methods to methods that engage students and enhance learning outcomes. This shift toward student-centered learning is crucial for achieving educational goals and making the next generation more adaptable to the modern era. This paper examines the…