DeepAI
Log In Sign Up

Effects of Early Warning Emails on Student Performance

02/17/2021
by   Till Massing, et al.
0

We use learning data of an e-assessment platform for an introductory mathematical statistics course to predict the probability of passing the final exam for each student. Based on these estimated probabilities we sent warning emails to students in the next cohort with a low predicted probability to pass. We analyze the effect of this treatment and propose statistical models to quantify the effect of the email notification. We detect a small but imprecisely estimated effect suggesting effectiveness of such interventions only when administered more intensively.

READ FULL TEXT

page 1

page 2

page 3

page 4

06/24/2019

When is the best time to learn? -- Evidence from an introductory statistics course

We analyze learning data of an e-assessment platform for an introductory...
11/15/2017

Assessment Formats and Student Learning Performance: What is the Relation?

Although compelling assessments have been examined in recent years, more...
02/10/2021

Early Performance Prediction using Interpretable Patterns in Programming Process Data

Instructors have limited time and resources to help struggling students,...
11/14/2018

Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions

We study heterogeneity in the effect of a mindset intervention on studen...
07/20/2021

A Comparison of Value-Added Models for School Accountability

School accountability systems increasingly hold schools to account for t...
08/21/2020

Competence-Based Student Modelling with Dynamic Bayesian Networks

We present a general method for using a competences map, created by defi...