From Course to Skill: Evaluating Large Language Model Performance in Curricular Analytics
In this AIED conference paper, the authors evaluate four text alignment strategies based on large language learning models (LLMs) or traditional natural language processing (NLP) for skill extraction, a core task in curricular analytics.
The Impact of Dual Enrollment on College Application Choice and Admission Success
Using a regression discontinuity approach and data from two cohorts of students in one state, this paper examines the effect of taking dual enrollment credits on the number of in-state public colleges students apply and are admitted to and the selectivity of those colleges.
“Waiving” Goodbye to Placement Testing: Broadening the Benefits of Dual Enrollment Through Statewide Policy
Using interview data from program leaders and statewide student data, this paper examines the implementation and estimates the effects of Ohio’s Innovative Programs, a policy aimed at expanding access to dual enrollment for underserved high school students.
The Link Between Dual Enrollment Partnership Characteristics and Outcomes: Findings From Texas
This working paper describes dual enrollment (DE) high school–college partnerships and estimates which DE structures and contexts predict aggregate DE course completion, college enrollment, and degree attainment.
The Postsecondary Outcomes of High School Dual Enrollment Students: A National and State-by-State Analysis
Using NSC data, this report presents national and state-by-state findings on the postsecondary enrollment and completion outcomes of high school students who began taking dual enrollment college courses in fall 2015, tracked for four years after high school.