Data Set: Solution Probability in Online Learning Environments

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Rzepka, Nathalie;Hans-Georg Müller

Description

Solution Probability Model and Fairness Evaluation This in-session prediction model seeks to predict the users’ performance on the Orthografietrainer.net platform. The target variable is binary and predicts if the user will do the following sentence correctly or not. For fairness evaluations the best models (MLP and DTE), and the worst model (SVM) are considered. A random state is not set, thus, results might differ marginally. A detailed description of the solution probability model and the fairness evaluation can be found here: tba

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

79%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Restricted Access

Assigned Domain

Subfield

Computer Science Applications

Field

Computer Science

Domain

Physical Sciences

Confidence Score

89%

Source

Open Alex

Keywords

Adaptive LearningLearning Analytics

Normalization Factors

FT

56.73

CTw

1.00

MTw

1.00