Research on hazing in higher education has primarily focused on Greek-letter organizations and athletes, with little research beyond these two subsets of college students. The purpose of this qualitative study was to explore the attitudes of students from the general student population at a Canadian university with regard to hazing and identify…

Learning analytics is an emerging discipline and, as such, benefits from new tools and methodological approaches. This work reviews and summarizes our workshop on microgenetic data analysis techniques using R, held at the second annual Learning Analytics Summer Institute in Cambridge, Massachusetts, on 30 June 2014. Specifically, this paper…

One of the challenges many learning scientists face is the laborious task of coding large amounts of video data and consistently identifying social actions, which is time consuming and difficult to accomplish in a systematic and consistent manner. It is easier to catalog observable behaviours (e.g., body motions or gaze) without explicitly…

The purpose of this qualitative single case study was to investigate the performance of a small, urban high school in the northeastern United States by examining graduation rates, attendance, test scores, and inappropriate student behavior to determine at what levels the school is at risk of losing accreditation. The selected school had declined…

Drawing on a larger study, this qualitative investigation uses Black feminist thought as the interpretive lens to investigate perceptions and experiences of African American female doctoral students at predominately White institutions (PWIs). Semistructured interviews were used to gain an understanding of their experiences and how these…

In this grounded theory qualitative study, we interviewed 34 graduates from one cohort of 51 students from a prestigious early college entrance program in China. Based on the interview data, we identified distinct convergent and divergent patterns of lived experiences and changes. We found several dominant themes, including peers' mutual…

New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…

This paper is based on a qualitative study that investigated graduate student perspectives of online discussions in higher education courses. The data are drawn primarily from interviews and student journal entries. The study examined student experiences of online discussions from a "technorealist" perspective thereby taking into account…

This exploratory case study sought to analyze data from Collaborative Learning Modalities (Brantmeier, Aragon & Folkestad, 2011) on-line threaded discussions in a teacher education course where pre-service teachers examined the nature of a Facebook event revealing unethical and racist notions against Native Americans. In 2010 a university…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…

Included herein is the conference proceedings of the 27th Annual Conference on the Teaching of Psychology: Ideas and Innovations, sponsored by the Psychology Department of the State University of New York at Farmingdale. The conference theme for 2013 was: The Science of Learning. The Conference featured a keynote address by Victor Benassi, Ph.D.…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…