This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…

This study was an investigation of the predictive value of perceived career barriers and career decision self-efficacy on the certainty of initial career choice among Educational Opportunity Fund Program (EOF) pre-freshman college students, an under-studied college population with respect to career development (Winograd & Shick Tryon, 2009).…

We investigated students' perceptions related to psychological constructs in their science classes and the influence of these perceptions on their science identification and science career goals. Participants included 575 middle school students from two countries (334 students in the U.S. and 241 students in Iceland). Students completed a…

This study aims to study households' expectations for their children's academic performance in Khyber Pakhtunkhwa, Pakistan. Education has a significant role in increasing the productivity and income level of an individual in a society. Household education, income, distance from school, gender discrimination within household and cost of education…

The present study investigated the contribution of morphological and cognate awareness to the development of English and French vocabulary knowledge among young minority and majority language children who were enrolled in a French immersion program. Participating children (n = 75) were assessed in English and French on measures of morphological…

Nordic welfare states have been very successful at reducing poverty and inequality among their citizens. However, the presence of a strong social safety net in these countries has not solved the problem of "socioeconomic exclusion", manifesting in such outcomes as chronic unemployment and welfare dependency. In an effort to understand…

The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…

Callous-unemotional (CU) traits have proven important for designating children and adolescents showing a pattern of particularly severe, stable, and aggressive antisocial behaviors (Frick, Ray, Thornton, & Kahn, 2014). Individuals with secondary CU traits represent a subpopulation that are distinguished from those with primary CU traits by…

In the authors' science classrooms, students respond favorably and with more enthusiasm when they engage them with doing activities and building their own connections, as opposed to simply listening to or reading about the important concepts. Creative activities are important in science classrooms because creativity is not only an integral…

This dissertation presents a formal theory of Serbo-Croatian grammar. The theory predicts acceptable form/meaning pairs for a substantial chunk of Serbo-Croatian. In particular, we analyze Serbo-Croatian declarative and interrogative main clauses, embedded clauses, a couple of different types of nominal modification, control and predication, as…

The concern for the realization of a prophetic announcement in the books of Kings is evident from the frequent fulfillment claims. Fulfillment details are often included in the formulaic notice to highlight its miraculous nature. However, as one correlates the prediction with the fulfillment details, there are noticeable discrepancies. This study…

Dropping out of school is a major concern as high school graduation credentials have been used as an important measurement tool to define post-secondary success. Numerous researchers presented a multitude of factors that predict dropouts at individual and school levels. Curriculum track choice, or high school course-taking sequence, defines…

Learning a more distributed representation of the input feature space is a powerful method to boost the performance of a given predictor. Often this is accomplished by partitioning the data into homogeneous groups by clustering so that separate models could be trained on each cluster. Intuitively each such predictor is a better representative of…

This paper proposes to the use of a meta-learning approach for automatic parameter tuning of a well-known decision tree algorithm by using past information about algorithm executions. Fourteen educational datasets were analysed using various combinations of parameter values to examine the effects of the parameter values on accuracy classification.…

The interaction behaviours of successful, high-achieving learners when using a Learning Management System (LMS) are different than the behaviours of learners who are having more difficulty mastering the course material. This paper explores the idea that conventional Learning Management Systems can exploit data mining techniques to predict the…