Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…

Current approaches used by educational institutions to address the problem of student cheating are not working. This is because the discourse of academic integrity that currently dominates is, on its own, inadequate for addressing the problem. We propose that in order for higher education institutions to challenge cheating effectively, they need…

In mathematics classrooms, it is common practice to work through a series of comparable tasks provided in a textbook. A central question in mathematics education is if tasks should be accompanied with solution methods, or if students should construct the solutions themselves. To explore the impact of these two task designs on student behavior…

Although prior research has highlighted the significance of representations for mathematical learning, there is still a lack of research on how students use multimodal external representations (MERs) to solve mathematical tasks in digital game-based learning (DGBL) environments. This exploratory study was to examine the salient patterns problem…

Technology, Engineering, and Mathematics (STEM) fields are in high demand. These fields all require sufficient math ability. However, many university students suffer from math anxiety. This study conducted an experiment to explore the influence of math anxiety on university students' challenging math problem-solving behavior and whether autonomy…

The aims of university System Dynamics (SD) programs include the mastery of systems thinking skills, modeling skills, and/or application to solving real-world, dynamic, complex problems. Existing research has articulated learning sequences of what learners should know and be able to do, and when. It is called the competence development framework…

This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article…

Three studies examine a novel pathway by which the perseverance component of the personality trait "grit" might predict college students' behavioral persistence when solving challenging math problems. Specifically, we focus on the intervening role of what we refer to as "math-specific self-perceptions of perseverance," which…

This study focuses on the design and the implementation of a digital environment aimed at fostering strategic planning competence in problem-solving through individualization features: the Individualized Planned Strategy Environment (IPSE). Within IPSE, students are engaged in a sequence of oriented activities, guiding them in constructing and…

This quantitative study, administered at a higher education institution, looked at what variation exists among immigrant students, domestic students, and international students as determined by analysis in the HERI CIRP Freshman Survey as measured by responses to Habits of Mind questions. Habits of Mind is a framework of attributes that focus on…

This exploratory qualitative study examines teacher candidate and student interactions in response to verbal threats of harm. This study uses existing data: a single set of 16 clinical simulations and four post-simulation debriefing sessions. Participants include eight female and eight male teacher candidates (n = 16) who interact with one of six…

Whether one engages in truth-seeking and whether he or she is open-minded are indicative of his or her critical behavior when responding to problems at hand. This research sought to determine the behavioural tendencies of pre-service mathematics teachers in the solution of non-routine problems based on the indicators of truth-seeking and…

Very often, university students deliberately form self-organized study groups, e.g. to study collaboratively for an upcoming exam. Yet, very little is known about what regulation problems such self-organized study groups encounter during their learning process and how they try to cope with these problems. Therefore, this study investigates how…

The current knowledge of the effects of the physical environment on learners' behaviour in collaborative problem-solving tasks is underexplored. This paper aims to critically examine the potential of multimodal learning analytics, using new data sets, in studying how the shapes of shared tables affect the learners' behaviour when collaborating in…

Collaborative problem-solving (CPS) engages students in solving ill-structured problems, creating group knowledge, and developing self-regulation and collaboration skills. Different scaffoldings, such as minimal-guided, task-oriented, and idea-oriented, can be used to facilitate students' CPS activities, but their effects have not been…