The online homework system WeBWorK has been successfully used at several hundred colleges and universities. Despite its popularity, the WeBWorK system does not provide detailed metrics of student performance to instructors. In this article, we illustrate how an analysis of the log files of the WeBWorK system can provide information such as the…

Classroom observations are frequently conducted with the purpose of comparing the behavior of a target student to that of other peers within the same classroom. A variety of procedures may be utilized by researchers and practitioners to collect such data; however, little is known of the accuracy of estimates of behavior produced by such procedures…

This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize user gaze and action-based data to examine the role of a mirroring tool (i.e., Exercise View in Eclipse) in orchestrating basic…

The amount of information contained in any educational data set is fundamentally constrained by the instructional conditions under which the data are collected. In this study, we show that by redesigning the structure of traditional online courses, we can improve the ability of educational data mining to provide useful information for instructors.…

This dissertation was designed to examine and assess the impact of a Positive Behavior Intervention and Supports (PBIS) program on student behaviors, academic environment, and the total school environment. The study examined and assessed the impact of PBIS on student suspensions, student attendance, and student interactions. Additionally, this…

Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…

Procrastination appears to be an inevitable part of daily life, especially for activities that are bounded by deadlines. It has implications for performance and is known to be linked to poor personal time management. Although research related to procrastination as a general behavior has been well established, studies assessing procrastination in…

The authors used a withdrawal design to evaluate the effects of a modified Color Wheel System (M-CWS) on the on-task behavior of 7 students enrolled in the 4th grade. Standard CWS procedures were modified to include a 4th set of rules designed to set behavioral expectation for cooperative learning activities. Mean data showed that immediately…

High-quality formative assessment data are critical to the successful application of any problem-solving model (e.g., response to intervention). Formative data available for a wide variety of outcomes (academic, behavior) and targets (individual, class, school) facilitate effective decisions about needed intervention supports and responsiveness to…

The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…

Methods and procedures were developed for monitoring and evaluating classrooms on critical dimensions derived from process-product research. The evaluation process for each of these student behaviors, related to improving academic achievement, is described. The dimensions include student engaged time, which is a product of allocated time and…