A Framework for Large-Scale Automatic Fluency Assessment

Learning assessments are important to monitor the progress of students throughout the teaching process. In the digital era, many local and large-scale learning assessments are conducted through technological tools. In this view, a large-scale learning assessment can be designed to tackle one or multiple parts of the teaching process. Oral reading fluency assessments evaluate the ability to read reference texts. However, even though the use of applications to collect the reading of the students avoids logistics costs and speeds up the process, the evaluation of recordings has become a challenging task. Therefore, this work presents a computational solution for large-scale precision-critical fluency assessment. The goal is to build an approach based on automatic speech recognition (ASR) for the automatic evaluation of the oral reading fluency of children and reduce hiring costs as much as possible.

Practical tips for introducing high-fidelity simulation to undergraduates at a large scale: learning from our experience

The letter provides practical tips for developing, implementing and scaling an effective simulation‑based education programme at a large scale for undergraduate medical students. Using time-lapsed scenarios and the pause-discuss method of debrief are some of the useful tips that are discussed further in the letter.

Scaling for Meaning Making and Cultural Inclusivity

With the rapid growth of the global movement and technological advancements, learners are becoming more diverse than ever before. Diverse learners come from different backgrounds, including cultures, race, ethnicity, socioeconomic status, gender, language, or personality traits. These differences even increase in lecture halls and large-scale learning environments and MOOCs, which makes it difficult to accommodate the varying learners' needs. Failing to address their needs and teach inclusively may constitute a common challenge for diverse learners to understand and communicate adequately in the classrooms. To bridge the learning gap, there is a need for pedagogical transformation to ensure effective, meaningful, and inclusive learning for all. This can happen by adopting innovative pedagogies and integrating digital learning tools to calibrate different educational options and integrate multiple paths of learning to meet these variations. This chapter will present the concept of inclusive pedagogy and explore its principles in large-scale learning environments.