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Using clickers to predict students final courses grades, an artificial intelligence approach.

EasyChair Preprint no. 840

5 pagesPublished: March 19, 2019

Abstract

Clickers are useful for improving interaction in teaching. Here, we demonstrate how artificial intelligence can improve this usefulness even further by predicting final exam scores of students early in the semester. We also investigate how the number of attempts a student makes effect the correctness of the answer.

Keyphrases: Artificial Intelligence, clickers, Data Science, interactive learning, pedagogy

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:840,
  author = {Fionn Delahunty and Alexander Schliep},
  title = {Using clickers to predict students final courses grades, an artificial intelligence approach.},
  howpublished = {EasyChair Preprint no. 840},

  year = {EasyChair, 2019}}
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