David E. Pritchard

Pedro J. Muñoz Merino

IEEE Trans. Learn. Technol., 2019

Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!

[BibT_eX]

[DOI]

Lisa Y. Yoo

Sunbok Lee

Int. J. Artif. Intell. Educ., 2019

Mining Students Pre-instruction Beliefs for Improved Learning.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

Mining Student Misconceptions from Pre- and Post-Testing Data.

[BibT_eX]

[DOI]

Ángel Pérez-Lemonche

Byron Drury

Proceedings of the 11th International Conference on Educational Data Mining, 2018

Evaluating the Robustness of Learning Analytics Results Against Fake Learners.

[BibT_eX]

[DOI]

Sunbok Lee

Proceedings of the Lifelong Technology-Enhanced Learning, 2018

2017

Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC.

[BibT_eX]

[DOI]

Pedro J. Muñoz Merino

Comput. Educ., 2017

Factor Analysis Reveals Student Thinking using the Mechanics Reasoning Inventory.

[BibT_eX]

[DOI]

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

2016

Researching for better instructional methods using AB experiments in MOOCs: results and challenges.

[BibT_eX]

[DOI]

Christopher Chudzicki

Res. Pract. Technol. Enhanc. Learn., 2016

A MOOC based on blended pedagogy.

[BibT_eX]

[DOI]

J. Comput. Assist. Learn., 2016

Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics.

[BibT_eX]

[DOI]

Proceedings of the Late-breaking Results, 2016

Using Multiple Accounts for Harvesting Solutions in MOOCs.

[BibT_eX]

[DOI]

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Examining the necessity of problem diagrams using MOOC AB experiments.

[BibT_eX]

[DOI]

Neset Demirci

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Learning Experiments Using AB Testing at Scale.

[BibT_eX]

[DOI]

Christopher Chudzicki

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Estimation of ability from homework items when there are missing and/or multiple attempts.

[BibT_eX]

[DOI]

Yoav Bergner

Kimberly F. Colvin

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes.

[BibT_eX]

[DOI]

Yoav Bergner

Deirdre Kerr

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach.

[BibT_eX]

[DOI]

Qian Zhou

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library - A case study.

[BibT_eX]

[DOI]

Gerd Kortemeyer

Stefan Dröschler

Int. J. Digit. Libr., 2014

Who does what in a massive open online course?

[BibT_eX]

[DOI]

Commun. ACM, 2014

Correlating skill and improvement in 2 MOOCs with a student's time on tasks.

[BibT_eX]

[DOI]

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Comparing Learning in a MOOC and a Blended, On-Campus Course.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013

Towards Real-Time Analytics in MOOCs.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Teaching Analytics, 2013

Exploring the relationship between course structure and etext usage in blended and open online courses.

[BibT_eX]

[DOI]

Daniel T. Seaton

Yoav Bergner

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Bringing student backgrounds online: MOOC user demographics, site usage, and online learning.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Analysis of Video Use in edX Courses.

[BibT_eX]

[DOI]

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012

Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Educational Data Mining, 2012

2003

Two ions in one trap: ultra-high precision mass spectrometry?

[BibT_eX]

[DOI]

Simon Rainville

James K. Thompson