Contribution: We present a framework for teachers to investigate the relationships between attributes of students' solutions in the process of problem solving or computational thinking. We provide visualization and evaluation techniques to find hidden patterns in the students' solutions which allow teachers to predict the specific behavior of…

This paper reviews the role of Generative Artificial Intelligence (GenAI) in transforming the landscape of educational game design. The recent rise and development of GenAI have expanded its applications in creating dynamic and interactive game systems. This review explores the potential of GenAI to craft personalized educational game designs that…

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…

Discussion of the potential of open data for impact -- including in education -- has grown. Open data from Wikipedia, the world's largest open educational resource, is used in a variety of learning contexts. A sociotechnical concern in this data is that it arises in a platform-based social dynamic, governed by norms and conventions, and negotiated…

Game-based learning (GBL) is increasingly recognized as an effective tool for teaching diverse skills, particularly in science education, due to its interactive, engaging, and motivational qualities, along with timely assessments and intelligent feedback. However, more empirical studies are needed to facilitate its wider application in school…

Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…

This study aims to examine adaptability for educational games in terms of adaptation elements, components used in creating user profiles, and decision algorithms used for adaptation. For this purpose, articles and full-text papers in Web of Science, Google Scholar, and Eric databases between 2000-2021 were searched using the keywords…

Technologies like ChatGPT and other AI tools have impacted learning by giving students more chances to ask questions and explore knowledge. The inclusion of Non-Player Characters (NPCs) as scaffolding in game-based situated learning activities can have a positive impact on learning. The application of ChatGPT to role-playing has potential;…

Education and training are among the fields taking advantage of serious games (SGs). In this article, we present Gea 2: A New Earth, a digital SG developed as an immersive 3-D virtual learning environment, integrating several educational resources, including multimedia learning material, communication tools, and intelligent tutoring support. The…

Today more than ever before, we have access to new technologies which provide unforeseen opportunities for educators to pursue new innovations in online education. Pursuing innovation is a complex process! It starts with an idea, but that needs to be coupled with the right team of experts willing to take big risks and put in the hard work to build…

This volume comprises of the proceedings of The Twelfth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM). It reflects outstanding advances, with a multidisciplinary perspective, in the technological ecosystems that support Knowledge Society building and development. This book covers broad-scope research…

The purpose of this study was to identify the underlying cognitive attributes used during the design and development of science-based serious educational games. Study methods rely on a modification of cognitive diagnostics, item response theory, and Bayesian estimation with traditional statistical techniques such as factor analysis and model fit…

Drill and practice is a well-received approach to repeatedly train learners' skills through a series of exercises and to reward them with corrective feedback. However, drill-based training may not improve learners' performance if its exercises are badly designed (e.g., not fun, not relevant to the learning goal, and becoming too difficult or too…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…