Incivility has been reported as having an adverse impact on student learning, faculty staff retention and student commitment within Higher Education. As such this behaviour has the potential to reduce student achievement and could have a financial impact. The aim of this research was to examine the impact of teaching context (lecture versus…

Purpose: Within higher education, there was an abrupt shift from face-to-face to online lecturing with the introduction of social distancing measures in light of a global pandemic. The purpose of this study is to enrich the connection between students and instructors, the authors integrated elaborated interactive activities into large online…

We propose a new model for learning that relates video watching behavior and engagement to quiz performance. In our model, a learner's knowledge gain from watching a lecture video is treated as proportional to their latent engagement level, and the learner's engagement is in turn dictated by a set of behavioral features we propose that quantify…

A lack of student questioning and engagement is faced by many universities, where a large lecture is a common practice. Emerging technologies bring about possibilities to fill this gap. This study applied constructivist learning theories and used a digital canvas as a Digital Question Board (DQB) for students to freely pose questions and respond…

We investigate the use of consumer-grade eye tracking to automatically detect Mind Wandering (MW) during learning from a recorded lecture, a key component of many Massive Open Online Courses (MOOCs). We considered two feature sets: stimulus-independent global gaze features (e.g., number of fixations, fixation duration), and stimulus-dependent…

A common use of technology in higher education is the provision of online course materials, invoking an investigation of the ways in which students engage with online course content, and how their participation changes over time. This is particularly necessary in the context of high absenteeism from lectures, where online access may be the only…

Using a unique dataset of 44 Massive Open Online Courses (MOOCs), this article examines critical patterns of enrollment, engagement, persistence, and completion among students in online higher education. By leveraging fixed-effects specifications based on over 2.1 million student observations across more than 2,900 lectures, we analyzed…

This project describes the results from a large enrollment introductory psychology course specially designed to improve performance of first-year students. The main objective of the project was to identify early indicators of student success to inform future teaching and promote classroom engagement. Variables representing academic preparation,…

Research suggests that massive open online course (MOOC) students prefer to study in groups, and that social facilitation within the study groups may render the learning of difficult concepts a pleasing experience. We report on a longitudinal study that investigates how co-located study groups watch and study MOOC videos together. The study was…

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…

This practical reference guide for college faculty who teach large classes is presented, based on a workshop on improving teaching and learning in large classes. The workshop involved weekly meetings for the academic year, 1981-82, at Colorado State University. The following problems of teaching and learning in large classes were identified: (1)…

Reviews literature on class size and its influence on student performance, attitudes, and behavior, highlighting a recent study of the effect of lecture-group size on the latter variables in an introductory college nutrition course. Student class-size preferences, attitudes about large-class characteristics, interest in the discipline, attitudes…

A practical reference guide for educators who teach large classes is presented, based on a workshop on improving teaching and learning in large classes. The workshop involved weekly meetings for a year at Colorado State University. The following problems of teaching and learning in large classes were identified: social and physical control, class…

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…