Empowering Tutors with Big-data Learning Analytics

EasyChair Preprint no. 768

Abstract

Online education has been growing over the past few years and massive amounts of learning data are being generated. We are reporting on our efforts to use learning analytics to empower teachers to help all learners reach their full potential. We implemented reports to teachers providing general behavior and achievement insights on a weekly basis and supplement these with summary monthly reports with their study patterns and trends to evaluate growth. This paper provides more detailed descriptions of these reports and also includes results from a preliminary efficacy study we conducted to evaluate this intervention which show positive effects on mean test scores of the students.

Keyphrases: Bayesian Item Response Theory, informal learning environments, predictive modeling, study pattern analytics, teacher insights

@Booklet{EasyChair:768,
  author = {Uma Vijh and Josine Verhagen and Webb Phillips and Ji An},
  title = {Empowering Tutors with Big-data Learning Analytics},
  howpublished = {EasyChair Preprint no. 768},

  year = {EasyChair, 2019}}