Curiosity is one of the most important characters for elementary school students. However, the facts in the field show that the measurement model used by the teacher to identify the student's curiosity is not yet available in a standardized manner. This study aims to develop a model for measuring the curiosity of elementary school students using…

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 certain individuals and harmful long-term…

Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…

Massive open online courses (MOOCs) are open access, Web-based courses that enroll thousands of students. MOOCs deliver content through recorded video lectures, online readings, assessments, and both student-student and student-instructor interactions. Course designers have attempted to evaluate the experiences of MOOC participants, though due to…

Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…

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…

With the passing of Act 82, the state of Pennsylvania has provided school districts with Danielson's Framework as a tool for principals to evaluate teachers. The purpose of this study was to determine the perceived professional development needs of Pennsylvania principals as they implemented the new educator effectiveness system. Three hundred…

Classification evaluation metrics are often used to evaluate adaptive tutoring systems-- programs that teach and adapt to humans. Unfortunately, it is not clear how intuitive these metrics are for practitioners with little machine learning background. Moreover, our experiments suggest that existing convention for evaluating tutoring systems may…

In keeping with the national mandate of increasing graduates in the sciences in South Africa, a concerted effort in improving the first year experience becomes imperative. First year mathematics courses commonly provide the base knowledge necessary for progression in different degree programmes at university. Success in mathematics courses…

This paper estimates models of the transitional effects of food insecurity experiences on children's non-cognitive performance in school classrooms using a panel of 4710 elementary students enrolled in 1st, 3rd, and 5th grade (1999-2003). In addition to an extensive set of child and household-level characteristics, we use information on U.S.…

Mixture item response theory models have been suggested as a potentially useful methodology for identifying latent groups formed along secondary, possibly nuisance dimensions. In this article, we describe a multilevel mixture item response theory (IRT) model (MMixIRTM) that allows for the possibility that this nuisance dimensionality may function…

A "big idea" is a concept that gives meaning to discrete facts. In this article, the author proposes a small number of big ideas, as well as his own views on where he thinks the field needs to move to achieve its full promise in school-based behavioral and social-emotional assessment. The three big ideas he has selected include: (1) universal…

This invited commentary includes observations about the article "Building Local Capacity for Training and Coaching Data-Based Problem Solving with Positive Behavior Interventions and Support Teams," published in the July 2011 issue of the "Journal of Applied School Psychology." In this article Newton and colleagues present an interesting field…

The purpose of this study was to examine the technical (psychometric) adequacy of office discipline referrals (ODRs) as a behavioral assessment tool for individual student, data-based decision making within a problem-solving model. Participants were 990,908 students in 2,509 elementary schools. Students were grouped into ODR cut points of 0-1,…

Evaluation is the process of collecting and using information for decision-making. A hallmark of School-wide Positive Behavior Support (SWPBS) is a commitment to formal evaluation. The purpose of this SWPBS Evaluation Blueprint is to provide those involved in developing Evaluation Plans and Evaluation Reports with a framework for (a) addressing…