In recent years, the use of asynchronous discussion forums in online learning has increased
rapidly. In earlier studies, content analysis is the most-used research method in exploring …

In this study, we work towards a strategy to measure and enhance the quality of interactions
in discussion forums at scale. We present a machine learning (ML) model which identifies …

Due to the lack of face-to-face interactions, online learners frequently experience social
isolation that negatively impacts students' well-being and learning experiences. Many text …

We examine trends in the Learning at Scale conference from 2014 through 2021. We use an
original coding scheme to classify all 142 full papers from five angles: setting, approach …

Embedding a post recommendation system in online course forums improves students'
ability to find relevant course content. Yet, there is limited research quantifying how these …

Since the beginning of the Learning@ Scale conference in 2014, research has focused on a
variety of topics. In this paper, we look at trends in four specific topics over time to identify …

Teaching at Scale explores the characteristics and parameters of large-scale online learning
by identifying, in its perceived drawbacks, a wealth of educational opportunities in disguise …

In this half-day workshop, we seek to establish a continuing dialogue across classrooms
about the challenges faced from a rapidly expanding student body, such as is happening in …