Global ETD Search

Integrating Grade Prediction for Better Student Support in MIT’s Introductory Programming Course

Demissew, AlentaMassachusetts Institute of Technology2021

We focus on grade prediction in the context of the 6.0001/2 course by utilizing student data – including assignment, assessment, and participation scores/metrics and click data – from past iterations of the course. In doing so, we explore various machine learning algorithms to create expressive, …

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A Comparative Study of Machine Learning and Traditional Techniques for Grade Prediction and Grade-Tonnage Evaluation in a Small VMS Deposit

Bag, Cemile DilaraVirginia Tech2025

Small-scale, high-grade volcanogenic massive sulfide (VMS) deposits present unique challenges for resource estimation due to their strong grade variability and complex geological structures. This thesis evaluates whether machine learning methods can improve grade prediction and tonnage estimation …

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The Relationship of the High School Grade Point Average and the Washington Pre-College Differential Grade Prediction Test to Academic Achievement of Varsity Athletes at Central Washington State College

Sorensen, Stanley A.

… was to determine the accuracy of high school grade point averages, and the Washington Pre-College Differential Test in determining the academic achievement of varsity athletes at Central Washington State College.

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Evaluating the nutritional status of Fraser fir [Abies fraseri (Pursh) Poir.] Christmas trees using foliar analysis and DRIS application

Hockman, Joseph N.Virginia Polytechnic Institute and State University1986

… DRIS norms and index equations from premium grade Christmas tree were developed. In contrast to most crops where growth and yield are assessed, Fraser fir Christmas tree performance was evaluated by conventional grading procedures based on tree quality. A classification model utilizing …

vt Repository record for Evaluating the nutritional status of Fraser fir [Abies fraseri (Pursh) Poir.] Christmas trees using foliar analysis and DRIS application (opens in a new tab)

Intelligent Degree Planning Systems: Advancements in Personalized Achievability Rating

Sweeney, Mack

gmu

Models and Algorithms for Performance Prediction and Course Recommendation in Higher Education

Polyzou, Agoritsa2020

… In this setting, we first introduce next-term grade prediction methods to estimate the grades that a student is expected to receive for the courses they plan on taking the following semester. These algorithms are based on sparse linear and low-rank matrix factorization models that are specific …

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