Capturing "attrition intensifying" structural traits from didactic interaction sequences of MOOC learners

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014

20 September 2014

Papers citing "Capturing "attrition intensifying" structural traits from didactic interaction sequences of MOOC learners"

9 / 9 papers shown

Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A ReviewFrontiers in Artificial Intelligence (FAI), 2023

Sruti Mallik

Ahana Gangopadhyay

287

23 Jan 2023

Understanding Distributed Tutorship in Online Language TutoringInternational Conference on Learning Analytics and Knowledge (LAK), 2021

238

07 Dec 2021

Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos

Byungsoo Jeon

Namyong Park

104

05 Feb 2020

Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning

171

05 Feb 2020

Predicting engagement in online social networks: Challenges and opportunities

Farig Sadeque

Steven Bethard

128

11 Jul 2019

Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student StatesEducational Data Mining (EDM), 2019

102

01 May 2019

How Widely Can Prediction Models be Generalized? Performance Prediction in Blended Courses

15 Apr 2019

Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features

Niki Gitinabard

Farzaneh Khoshnevisan

Collin Lynch

E. Wang

124

31 Aug 2018

Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions

134

216

26 Jul 2014