Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…

Access to body-based resources has been shown to augment cognitive processes, but not all movements equally aid reasoning. Interactive technologies, like dynamic geometry systems (DGS), potentially amplify the link between movement and geometric representation, thereby deepening students' understanding of geometric properties. This study…

Early predictors of student success are becoming a key tool in flipped and online courses to ensure that no student is left behind along course activities. However, with an increased interest in this area, it has become hard to keep track of what the state of the art in early success prediction is. Moreover, prior work on early success prediction…

Information communication technology (ICT) that is used in instruction has attracted the attention of researchers with many studies having looked at the factors affecting how university instructors apply it in their teaching. Yet little is known about whether the gender of university teachers can impact their ICT use. This research relies on…

No significant body of research examines writing achievement and the specific skills and knowledge in the writing domain for postsecondary (college) students in the U.S., even though many at-risk students lack the prerequisite writing skills required to persist in their education. This paper addresses this gap through a novel…

Education research rarely lends itself to large scale experimental research and true randomization, leaving the researcher to quasi-experimental designs. The problem with quasi-experimental research is that underlying factors may impact group selection and lead to potentially biased results. One way to minimize the impact of non-randomization is…

Most of the emphasis on mining online assessment logs has been to identify content-specific errors. However, the pattern of general "consistency" is domain independent, strongly related to performance, and can itself be a target of educational data mining. We demonstrate that simple consistency indicators are related to student outcomes,…

When investigating the impact of predictor variables on an outcome variable or measuring the effectiveness of an educational program, educational researchers and program evaluators cannot ignore the possible influences of interaction effects. The purpose of this paper is to present a procedure that educational researchers can follow in order to…

L. A. Marascuilo and R. C. Serlin (1988) note that stepwise regression is a method used frequently in social science research. C. Huberty (1989) characterizes such applications as being "common". In support of this latter statement, a review of dissertations by B. Thompson (1988) demonstrated that dissertation students frequently use…

The usefulness of L. Guttman's partial order scalogram analysis is investigated in this study of the structure of a set of items that measure attitudes toward legal abortion. These items, drawn from the National Opinion Research Center's "General Social Survey," have been the focus of considerable applied research investigating…

The serious problems associated with the use of stepwise methods are well documented. Various authors have leveled scathing criticisms against the use of stepwise techniques, yet it is not uncommon to find these methods continually employed in educational and psychological research. The three main problems with stepwise techniques are: (1)…

Guidelines for articulation of a framework for practical application of proportional-hazards models (PHMs) to professional survival analysis are provided. Focus is on data analysis fitting the PHMs with the semi-parametric methods of partial likelihood; this strategy is available in the BMDP2L and SAS PROC PHGLM computer programs. Areas in which…

This study investigated whether physical self-awareness and age are significant predictors of interpersonal problem-solving ability in young children. A total of 84 preschool and kindergarten children were administered the Preschool Interpersonal Problem Solving Test and the Body Awareness (Part I) microcomputer program. A backward-stepwise…

Researchers of gender differences in computer-related behaviors have reported a confusing picture. When asked which sex is more positive toward computers, more apt at using computers, and more likely to use a computer, one would be best advised to answer "it depends." It depends on what attitudes you are measuring, what skills you are…

This paper reports the results of a study of changes in the social distribution of mathematics achievement for a cohort of public high school students. Using hierarchical linear modeling (HLM) the study sought to identify school characteristics which were significantly correlated with changes in achievement differences from grade 9 to grade 11…