A critical issue in using fine-grained gameplay data to measure learning processes is the development of indicators and the algorithms used to derive such indicators. Successful development--that is, developing traceable, interpretable, and sensitive-to-learning indicators--requires understanding the underlying theory, how the theory is…

The ability to generalize previous knowledge to new contexts is a key aspect of human cognition and relational learning. A well-known learning maxim is that breadth of training predicts "breadth of training predicts breadth of transfer." When examples vary in their surface features, this provides evidence that only the common relational…

This paper reports on the development of complex unfamiliar mathematics questions using conventional mathematics questions. The autoethnographic research data included retrospective reflections of two educators and review of literature. Data analysis resulted in a three-phase development process: identifying conventional questions and subject…

In order to learn more about student understanding of the structure of proofs, we generated a novel genre of tasks called "Proof Without Claim" (PWC). Our work can be viewed as an extension of Selden and Selden's (1995) construct of "proof framework"; while Selden and Selden discuss how the structure of a proof can be discerned…

A model of individual continuous improvement based on lifelong learning processes and practices may provide a pathway to deeper, more meaningful experiences. Such a model could offer a method for individuals to strengthen their own sense of purpose and meaning through their chosen lifelong learning processes and practices. This paper explored…

Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…

The author believes that in mathematics education, with ourselves AND with students or learners, people need to embrace failure as a beautiful thing -- an incredibly wonderful opportunity to learn more about the math or the tool or the people. The five characteristics of provocative objects can help to understand how to design such lovely failure,…

Narrative inquiry is a type of qualitative research that explores human experiences through lived or told stories to understand a phenomenon. Narrative researchers collect data through spoken or written stories and life experiences of an individual (subject). The data is examined in chronological order to understand the meaning of the phenomenon…

As imperceptible as it is, mathematics is fundamental and is present on several occasions in our daily lives, but among 65 countries Brazil still ranks 53rd in education. The lack of investment in primary education has affected students learning since the early years. From this perspective, this paper proposed to verify teaching/learning in…

The profound advancements in technology have rendered novel forms of data and data visualisation increasingly accessible to individuals within society, thereby influencing daily decision-making processes. To address this change, this study sets out to review recent research on data-driven inquiries at the K-12 level from two perspectives:…

Since GPT-4's release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand assistance for problems within the ASSISTments platform. In particular, we are studying whether GPT-generated explanations are better than nothing on problems that have no supports and whether…

This study investigated the students' experience and impact of using Science, Technology, Engineering, and Mathematics (STEM) related subjects for mobile learning or mLearning. In this study, mobile learning student-generated activities (SGA) focused on Malaysian universities as a developing country. The study approach was a qualitative case study…

Research has indicated that resultant cross-cultural experiences from migration are precursors of transformative learning. This study explores transformative learning processes and outcomes for perspective transformation among Nigerian immigrants in Italy and the United States. Multiple-case study and convergent mixed-methods research designs were…

A longstanding goal of learner modeling and educational data mining is to improve the domain model of knowledge that is used to make inferences about learning and performance. In this report we present a tool for finding domain models that is built into an existing modeling framework, logistic knowledge tracing (LKT). LKT allows the flexible…

Memory palaces are effective tools for learning vast amounts of information in a canonical order using mnemonics. However, our review of the literature revealed a lack of implementation and user study of memory palace in Virtual Reality (VR) for neuroscience education. VR technology enables us to build highly interactive virtual learning spaces…