Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…

The purpose of this study is to evaluate how learning disabilities (LDs), in combination with accommodations, affect the performance of a decision-tree to predict the stability of academic behaviour of undergraduate engineering students. Additionally, this study presents several examples to illustrate how a college could use the resultant model to…

Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only content, but also students' acquisition of core skills such as self-regulated learning. Our objective was to discover students'…

Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…

Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…

Psychological science has much to contribute to enhancing teaching and learning in the classroom. Teaching and learning are intricately linked to social and behavioral factors of human development, including cognition, motivation, social interaction, and communication. Psychological science can also provide key insights on effective instruction,…

Although there is a strong legislative base and perceived efficacy for multidisciplinary team decision making, limited evidence supports its effectiveness or consistency of implementation in practice. In recent research, we used the Decision Observation, Recording, and Analysis (DORA) tool to document activities and adult behaviors during positive…

Although most adopted children are well adjusted, research has consistently found that adopted adolescents are at an increased risk for externalizing behaviors. The present investigation tested a model whereby parent-adolescent negative emotionality traits, adolescent conflict, and adoption status contribute to adolescent externalizing behaviors.…

This study examined posttreatment patterns of polysubstance use and heroin relapse in a sample of 43 adolescents (ages 14-20) entering short-term residential treatment for primary heroin use. At 12-month follow-up, youths that achieved heroin abstinence (N = 19) were significantly less likely than youths that relapsed to heroin (N = 24) to endorse…

The purpose of this study was to delineate the development of the Computerized Evaluation Protocol of Interactions in Physical Education, a data collection program for multiple interaction behavior measures in elementary inclusive physical education settings. The theoretical and empirical base for the Computerized Evaluation Protocol of…

This study presents a new approach to estimation of a nonlinear growth curve component with fixed and random effects in multilevel modeling. This approach can be used to estimate change in longitudinal data, such as day-of-the-week fluctuation. The motivation of the new approach is to avoid spurious estimates in a random coefficient regression…

This paper describes materials designed for classroom projects on stimulus generalization and peak shift. A computer program (originally written in QuickBASIC) is used for data collection and a Microsoft Excel file with macros organizes the raw data on a spreadsheet and creates generalization gradients. The program is designed for use with human…

Targeted, school-based behavioral interventions that are designed in the positive behavior support model and created for elementary students at-risk for severe problem behavior have used four approaches to measuring response to intervention: (1) office discipline referrals, (2) systematic direct observation, (3) standardized behavior rating…

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 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…