منابع مشابه
Predicting Course Grades
Recommendation systems have been used in a variety of domains, ranging from online-joke recommendations to automatic educational course recommendations (CourseRank). However, users may want different recommendations for different reasons. In order to help each user select the recommendation that aligns best with his or her goals and values, a recommendation system can present users with estimat...
متن کاملPredicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a positive or negative way from the perspective of Multip...
متن کاملEstimating variance components and predicting breeding values for eventing disciplines and grades in sport horses.
Eventing competitions in Great Britain (GB) comprise three disciplines, each split into four grades, yielding 12 discipline-grade traits. As there is a demand for tools to estimate (co)variance matrices with a large number of traits, the aim of this work was to investigate different methods to produce large (co)variance matrices using GB eventing data. Data from 1999 to 2008 were used and penal...
متن کاملPredicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a positive or negative way from the perspective of Multip...
متن کاملPredicting student grades from online, collaborative social learning metrics using K-NN
We describe a collaborative video annotation system that aims to engage learners in a focused, collaborative process of content sharing and discussion, and explain how it was used in an online creative programming MOOC on Coursera. We explore the use of K-NN (K nearest neighbour) to predict which of a variable number of evenly spaced, final grade bands students will fall into based solely on a ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2016
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2015.2496278