Discussion has been widely used in courses, both online and otherwise, as it provides opportunities for students to construct knowledge through interaction with peers and instructors. Grouping students is a prominent strategy in the use of discussion. However, simply dividing students cannot guarantee active participation and high learning…

We explored student pharmacists' development of professional identity in a large-enrollment classroom setting. Professional identity formation develops over time through an assortment of experiences and can be a challenging topic for educators to teach. In a large-enrollment classroom, a small-group activity utilizing Jamboard, a Google…

Active learning is known to improve student outcomes in many STEM courses. Here, we present strategies for incorporating active learning into a large enrollment General Chemistry I course using small group activities during class time. This approach was found to mitigate gender disparities in overall course grades and reduced the number of General…

Introductory science courses can be a struggle for instructors and students not only because of the challenging nature of the material, but also due to differences in the background knowledge of students. Provision of pre-lecture resources reviewing or introducing key concepts is recommended to support diverse students. In this paper, we describe…

This study examined the role motivational dispositions had on completing a massive open online course (MOOC) using identifiable data from 10,726 students who enrolled in an iteration of the HarvardX MOOC, "Super Earths and Life." As part of the course registration process, learners had the option to complete a pre-course survey and…

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been…

Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…

With calls to reassess higher education teaching methods, active learning practices have quickly become a popular alternative to traditional lectures, especially in STEM courses that traditionally rely heavily on large-lecture formats. In this regard, active learning environments stand to better prepare students for life after college; however,…

This study assessed perceived learning outcomes in a team-lecture hybrid (TLH) instructional design in six public affairs and health administration courses implemented in 2011 and 2012. A cross sectional and prospective survey design was implemented using descriptive statistics, regression analysis and qualitative analysis. Results show students…

Massive Open Online Courses (MOOCs), capable of providing free (or low cost) courses for millions of learners anytime and anywhere, have gained the attention of researchers, educational institutions, and learners worldwide. Even though they provide several benefits, there are still some criticisms of MOOCs. For instance, MOOCs' high dropout rates…

This study explores a variety of variables with the intent of identifying specific student groups that may struggle with performance in a large general education course. The ultimate objective of this study is to facilitate the success of acknowledged at-risk students. Drawing in part on the theory of social capital, this study examines…

The purpose of this study was to examine how small groups of students in an introductory undergraduate chemistry course construct CERs and the influence of race, gender, and perceived status during this construction. The small groups of students engaged in three chemistry activities that required them to generate a claim, evidence, and reasoning…

The rapid and impressive development of Massive Open Online Courses (MOOCs) in less than half a decade has generated contrasting arguments about their social dimension. This paper investigates how the socio-economic background of learners affects their own experience and chances of course completion. The analyses test whether learners with a low…

Massive open online courses (MOOCs) have been touted as an effective way to make higher education accessible for free or for only a small fee, thus addressing the problem of unequal access and providing new opportunities to young people in middle and low income groups. However, many critiques of MOOCs have indicated that low completion rates are a…

This paper reports preliminary findings on students enrolled in a massive open online course, who were also assigned to work in groups. Part of a larger study on the effect of groups on retention and completion in MOOCs, the paper provides students' demographics (i.e., location, gender, education level, and employment status), and motivation for…