Background: Despite the vital function of engineering and computer science (Eng & CS) to innovation and economic development, retention within Eng & CS programs remains a major challenge in the U.S. educational system. Despite extensive research on influential factors of retention, there is a gap in our understanding of how these factors…

To address the demand for engineers and computer scientists in the workforce, and the fact that some engineering students dropout or change majors, we explored how the motivational climate in an undergraduate computer science (CS) course was related to students' motivational beliefs and academic and career goals. Participants included 310 students…

We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…

Several studies have documented the benefits of emotional intelligence particularly in the workplace. The main objective of universities is to educate in terms of acquiring capacities, abilities, competencies, and values, with the ultimate aim of promoting employment. In some Spanish universities, High Academic Performance Groups (HAPs) have been…

Assessing student learning outcomes has become a global trend in higher education. In this paper, we report on the validation of the Chinese HEIghten® Critical Thinking assessment with a nationally representative sample of Electrical Engineering and Computer Science students from 35 institutions in China. Key findings suggest that there was a test…

The purpose of this study was to examine the factors related to self-efficacy for Java programming among first year engineering students. An instrument assessing Java programming self-efficacy was developed from the computer programming self-efficacy scale of Ramalingam & Wiedenbeck. The instrument was administered at the beginning of the…

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…

This study was an examination of the usefulness of a statistical regression approach to identify prospective Engineering and Information and Computer Science (ICS) applicants most likely to succeed at the University of California at Irvine (UCI). The specific purpose was to determine the extent to which preadmissions measures such as high school…

While most associate in arts (AA) graduates who transfer to the Florida State University System (SUS) achieve satisfactory grade point averages, some do not. For Miami-Dade Community College (M-DCC) graduates, over 22% of the students in some disciplines have achieved grade point averages (GPA's) under 2.0. For the disciplines of…

The study described in this paper outlines an attempt to explore those factors that contribute to learning performance improvement in laboratory instruction. As a case study, the educational methodology involved in a basic microcontroller course was analyzed. Traditional lab sessions based on the control of peripherals with low interactivity have…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…