The need to identify student cognitive engagement in online-learning settings has increased with our use of online learning approaches because engagement plays an important role in ensuring student success in these environments. Engaged students are more likely to complete online courses successfully, but this setting makes it more difficult for…

Developing tools to support students and learning in a traditional or online setting is a significant task in today's educational environment. The initial steps towards enabling such technologies using machine learning techniques focused on predicting the student's performance in terms of the achieved grades. The disadvantage of these approaches…

We develop a random forest classifier that helps assign academic credit for a student's class forum participation. The classification target are the four classes created by student rank quartiles. Course content experts provided ground truth by ranking a limited number of post pairs. We expand this labeled set via data augmentation. We compute the…

Researchers have highlighted how tracking learners' eye-gaze can reveal their reading behaviors and strategies, and this provides a framework for developing personalized feedback to improve learning and problem solving skills. In this paper, we describe analyses of eye-gaze data collected from 16 middle school students who worked with Betty's…

This paper explores the annotation and classification of students' revision behaviors in argumentative writing. A sentence-level revision schema is proposed to capture why and how students make revisions. Based on the proposed schema, a small corpus of student essays and revisions was annotated. Studies show that manual annotation is reliable with…

The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…

This paper proposes a classification via clustering approach to predict the final marks in a university course on the basis of forum data. The objective is twofold: to determine if student participation in the course forum can be a good predictor of the final marks for the course and to examine whether the proposed classification via clustering…

The practical problem of how to utilize multiple race data in quantitative higher education research collides with neo-conservative and liberal assumptions that a perceived growth in a post-civil rights multiracial population suggests racism no longer exists, and with concerns that multiracial data will undermine civil rights progress. Given that…

For English learners (ELs), reclassifying to fluent English proficient (RFEP) signifies reaching a milestone indicating the ability to function in mainstream classes without support. Little is known about the discrepancy between the number of ELs who meet reclassification criteria and the number who are reclassified as fluent English proficient,…

The monitoring and support of university freshmen is considered very important at many educational institutions. In this paper we describe the results of the educational data mining case study aimed at predicting the Electrical Engineering (EE) students drop out after the first semester of their studies or even before they enter the study program…

A method for comparing the cross-validated classification accuracies of predictive discriminant analysis and logistic regression classification models is presented under varying data conditions for the two-group classification problem. With this method, separate-group, as well as total-sample proportions of the correct classifications, can be…

Data from records of 99 patients were used to classify cardiac patients as to whether they were likely or unlikely to experience a subsequent morbid event after admission to a hospital. Both a linear discriminant function and a logistic regression equation were developed using a set of nine predictor variables that were chosen on the basis of…

The problem which this study addresses is the effects of cognitive style and variations in the free sort procedures on the sorting outcome of sorting time and number and quality of manifest partitions. This experiment was designed to look at the effects of the cognitive styles of field dependence, category width and equivalence range,…

The Myers-Briggs Type Indicator (MBTI) was developed specifically to make possible the implementation of Carl Jung's theory of type and is concerned mainly with conscious elements of the personality. It assumes that to function well, an individual must have a well-developed system for perception and a well-developed system for making decisions or…

Defining interpersonal orientations as the characteristic and consistent ways in which individuals interact with others, this paper examines various conceptualizations and theories regarding such orientations in order to discover how they affect interpersonal communication. In particular, the paper (1) reviews work concerning psychological types;…