Given the fact that the large class phenomenon cannot easily be eliminated, it is important for teachers to develop effective strategies to teach English in large classes. The purpose of this study was to understand in what ways post-observation discussions lead to increased self-awareness of a college English teacher concerning pedagogy with…

Large class size as a growing phenomenon in developing countries is closely related to two reasons: initiatives to achieve universal education and rapid population growth (Bendow, Mizrachi, Oliver, & Said-Moshiro, 2007; Shehu & Tafida, 2016). Given the fact that the large class phenomenon cannot be eliminated within a reasonable amount of…

Characterizing the nature of students' affective and emotional states and detecting them is of fundamental importance in online course platforms. In this paper, we study this problem by using discussion forum posts derived from large open online courses. We find that posts identified as encoding confusion are actually manifestations of different…

Massive Open Online Courses (MOOCs) are becoming a promising solution for delivering high-quality education on a large scale at low cost in recent years. Despite the great potential, today's MOOCs also suffer from challenges such as low student engagement, lack of personalization, and most importantly, lack of direct, immediate feedback channels…

Massive open online courses (MOOCs) have gained significant attention in recent years for their potential to impact education at a global scale. This paper presents the findings from a study that examined the cases of three MOOCs, including Human Trafficking, US Food System, and Animal Behavior and Welfare, that were specifically designed to…

This case study examines the design and facilitation of a Massive Open Online Course (MOOC) that focused on attitudinal learning about the topic of animal behaviour and welfare. Findings showed that a team of instructors worked together collaboratively towards realising learning goals and found the experience rewarding. While learners had mixed…

This study explores alternative approaches for teaching general education courses burdened with serving extremely large enrollments. It compares the effectiveness of a self-contained course in which each course section is taught by one instructor to a large lecture/small lab format in which all course enrollees attend one large lecture section and…

This study examines the cultivation of intentionality and integration in a foundation level General Education class: Communities and Societies. Three research tasks were set within the context of a grounded theoretical approach: codification of indicators for both intentionality and integration, and an examination of student learning logs.…

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…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

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…