With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…

The movement toward proficiency-based learning is gaining momentum at secondary schools across New England and beyond. Proficiency-based learning is the system of instruction, assessment and grading based on demonstration of skills that meet performance standards or "proficiencies." The goal of proficiency-based learning is to better…

Distance librarians often do not have the opportunity to engage face-to-face with users of library services. Without this personal interaction, it can be difficult to evaluate the effectiveness of library services in meeting the needs of the distance learners. Distance librarians may not realize it, but most have a wealth of information at their…

This chapter argues that for the science of learning to become a fully "human" science, it needs to move from viewing learning from an exogenous perspective to an endogenous one. Taken from Latin, the term "endogenous" translates roughly to "from within," and in the meaning the author gives to it here, it refers to a perspective on learning from…

Much of what can be described as online learning research and analysis advocates the use of software not only to collect the data, for example via an application such as a virtual learning environment, but also to analyze it, using a package such as NUDIST© or NVivo©. The intention of this article is to provide an alternative method of data…