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…

This paper addresses the question of identifying a concept dependency graph for a MOOC through unsupervised analysis of lecture transcripts. The problem is important: extracting a concept graph is the first step in helping students with varying preparation to understand course material. The problem is challenging: instructors are unaware of the…

An essential element in teaching children to effectively comprehend text is the use of teacher-led think-alouds. The overarching objective of this study was to explore how to better prepare early career teachers to conduct think-alouds in their classrooms. Data from 31 teachers consisted of (1) questionnaires, (2) lesson plans, (3) lesson…

The learning sciences community's interest in learning analytics (LA) has been growing steadily over the past several years. Three recent symposia on the theme (at the American Educational Research Association 2011 and 2012 annual conferences, and the International Conference of the Learning Sciences 2012), organized by Paulo Blikstein, led…

A growing number of educators and policymakers have begun focusing on the goal of preparing all or nearly all high school students for college and other advanced postsecondary learning opportunities. To meet this goal, states are adopting policies to encourage nearly all students, not just those seeking entry into competitive four-year colleges,…

With the passage of the No Child Left Behind Act (NCLB), state education agencies (SEAs) and local educational agencies (LEAs) have stepped up activities to broadly expand their data collection and reporting systems. The Data Quality Campaign (DQC) has advocated strongly for states to build robust student-level longitudinal data systems based on…

This paper describes a method that utilized technology to collect and collate quantitative and qualitative data about pre-service teachers' use of networked technologies during a 12-week undergraduate course, and the impact of this use on their pedagogical beliefs regarding the integration of information and communications technology (ICT). The…