The life cycle of large language models: A review of biases in education
Large Language Models (LLMs) are increasingly adopted in educational contexts to provide
personalized support to students and teachers. The unprecedented capacity of LLM-based …
personalized support to students and teachers. The unprecedented capacity of LLM-based …
Augmenting holistic review in university admission using natural language processing for essays and recommendation letters
University admission at many highly selective institutions uses a holistic review process,
where all aspects of the application, including protected attributes (eg, race, gender) …
where all aspects of the application, including protected attributes (eg, race, gender) …
Ending affirmative action harms diversity without improving academic merit
Each year, selective American colleges sort through tens of thousands of applications to
identify a first-year class that displays both academic merit and diversity. In the 2023-2024 …
identify a first-year class that displays both academic merit and diversity. In the 2023-2024 …
Algorithms for College Admissions Decision Support: Impacts of Policy Change and Inherent Variability
Each year, selective American colleges sort through tens of thousands of applications to
identify a first-year class that displays both academic merit and diversity. In the 2023-2024 …
identify a first-year class that displays both academic merit and diversity. In the 2023-2024 …
Implementing equitable and intersectionality‐aware ML in education: A practical guide
The greater the proliferation of AI in educational contexts, the more important it becomes to
ensure that AI adheres to the equity and inclusion values of an educational system or …
ensure that AI adheres to the equity and inclusion values of an educational system or …
Forums, Feedback, and Two Kinds of AI: A Selective History of Learning@ Scale
AS Duncan, T Tang, Y Huang, J Luu… - Proceedings of the …, 2024 - dl.acm.org
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 …
variety of topics. In this paper, we look at trends in four specific topics over time to identify …
Trading off performance and human oversight in algorithmic policy: evidence from Danish college admissions
ML Nielsen, JS Raaschou-Pedersen… - arxiv preprint arxiv …, 2024 - arxiv.org
Student dropout is a significant concern for educational institutions due to its social and
economic impact, driving the need for risk prediction systems to identify at-risk students …
economic impact, driving the need for risk prediction systems to identify at-risk students …
[PDF][PDF] Authorship Identity and Spatiality: Social Influences on Text Production
Computational text analysis has grown in popularity among social scientists due to the
massive influx of digitized data. Studies have used textual data to model social and …
massive influx of digitized data. Studies have used textual data to model social and …
High School Scores to College Performance: Exploring the Predictive Validity of Grade 12 Standardized Test Scores for University GPA
This study examines the correlation between High School Scores (HSS) and academic
achievement in the ELT Department at Tishk International University, Erbil, Iraq, aiming to …
achievement in the ELT Department at Tishk International University, Erbil, Iraq, aiming to …
Admission Prediction for Freshmen Students Using Low-cost Data Analytics Tool
F De Guzman, S Abaya, KM Dimaano… - Journal of Data …, 2024 - journal-data.ir
This research paper tackles the admission prediction of enrollment for the tertiary level using
the Naïve Bayes classification technique. Using data mining, the Naïve Bayes algorithm is …
the Naïve Bayes classification technique. Using data mining, the Naïve Bayes algorithm is …