Existing studies on Massive Open Online Courses (MOOCs) examine learners' engagement processes but have not explored links between them and motivations to enroll. In our previous work, we identified intrinsic, professional, and prosocial motivations for taking MOOCs. In this study, we used process mining to compare the course engagement patterns…

Learning logs collected by digital educational systems, increasingly deployed in educational settings, include clickstream logs recorded through page transitions in teaching materials and digital marker logs recorded by drawing a marker. A challenge with these learning logs is their low temporal and spatial resolutions. This paper proposes a…

A modified, bilingual Attitudes Toward Mathematics Inventory (ATMI) instrument was administered to 1,258 high school students in South Texas in an NSF-funded project on informal learning of mathematics and near peer mentoring. We explore students' survey response behaviors and examine the existence of careless and insufficient effort (CIE)…

In computer science education timely help seeking during large programming projects is essential for student success. Help-seeking in typical courses happens in office hours and through online forums. In this research, we analyze students coding activities and help requests to understand the interaction between these activities. We collected…

Engaged and disengaged behaviors have been studied across a variety of educational contexts. However, tools to analyze engagement typically require custom-coding and calibration for a system. This limits engagement detection to systems where experts are available to study patterns and build detectors. This work studies a new approach to classify…

Informal programs provide multiple pathways to STEM degrees and careers and support students' interest, engagement, attitude, motivation, and academic achievement in STEM. Examining high-achieving rural students' profiles in informal STEM settings using their cognitive and psychosocial characteristics is crucial to understanding and supporting…

The coronavirus pandemic has forced the world to change education policies in educational institutions. For example, Jordan's Ministry of Higher Education has allowed courses in academic programs to be taught in three types of education: distance e-learning, blended education, and traditional education. Hence this study came to reveal students'…

Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…

Although refugee education is among the prominent research topics today, there is limited information in the literature about preschool, one of the important periods of education, and classroom management in this context. The purpose of this study is to explore the classroom management experiences of preschool teachers who have refugee students in…

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…

Gaming the system, characterized by attempting to progress through a learning activity without engaging in essential learning behaviors, remains a persistent problem in computer-based learning platforms. This paper examines a simple intervention to mitigate the harmful effects of gaming the system by evaluating the impact of immediate feedback on…

Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against some students and possible harmful long-term…

Statement of the Problem and Purpose: Romantic relationships may be a source of behavioral and psychological strain, while the use of Instagram may also have positive and negative influences on university students' relationships. However, whether there is a relationship between university students' romantic relationship statuses and behaviors on…

The current study examined the influences of SRL prompts provided in three different phases (i.e., forethought, performance, and self-reflection) on college students' learning outcome and SRL levels during video-based learning. Fifty-eight participants were randomly assigned into one of the four conditions: 1) SRL prompts at the forethought phase;…

Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…