SPE-The Early Years. - David W. Barron; Charles Lang (Softw. Pract. Exp., 1990)

The Use of Student Confidence for Prediction & Resolving Individual Student Knowledge Structure. - Charles Lang (EDM, 2014)

An Adaptive Model of Student Performance Using Inverse Bayes. - Charles Lang (J. Learn. Anal., 2014)

The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. - Charles Lang; Neil T. Heffernan; Korinn Ostrow; Yutao Wang (EDM, 2015)

Discovering 'Tough Love' Interventions Despite Dropout. - Joseph Jay Williams; Anthony Botelho; Adam Sales; Neil T. Heffernan; Charles Lang (EDM, 2016)

Workshop on methodology in learning analytics (MLA). - Yoav Bergner; Charles Lang; Geraldine Gray (LAK, 2017)

A Focus on Methodology in Learning Analytics: Building a Structurally Sound Bridge Discipline. - Yoav Bergner; Charles Lang; Geraldine Gray (MLA/BLAC@LAK, 2017)

Opportunities for personalization in modeling students as Bayesian learners. - Charles Lang (LAK, 2017)

Building the learning analytics curriculum: workshop. - Charles Lang; Stephanie D. Teasley; John C. Stamper (LAK, 2017)

Building the Learning Analytics Curriculum. - Charles Lang; Stephanie D. Teasley; John C. Stamper (MLA/BLAC@LAK, 2017)

Exploring Teacher Learning through STEM Teachers' Exploration of Data Using a Domain Specific Coding Language. - Detra Price-Dennis; Charles Lang (ICLS, 2018)

The pragmatic maxim as learning analytics research method. - Andrew Gibson; Charles Lang (LAK, 2018)

The complexities of developing a personal code of ethics for learning analytics practitioners: implications for institutions and the field. - Charles Lang; Leah P. Macfadyen; Sharon Slade; Paul Prinsloo; Niall Sclater (LAK, 2018)

Visualizing log-file data from a game using timed word trees. - Paula Ceccon Ribeiro; Melissa Biles; Charles Lang; Cláudio T. Silva; Jan L. Plass (Inf. Vis., 2018)

What Does Methodology Mean for Learning Analytics? - Yoav Bergner; Geraldine Gray; Charles Lang (J. Learn. Anal., 2018)

Learner-Context Modelling: A Bayesian Approach. - Charles Lang (AIED (2), 2020)

Quantifying data sensitivity: precise demonstration of care when building student prediction models. - Charles Lang; Charlotte Woo; Jeanne Sinclair (LAK, 2020)

Involving teachers in learning analytics design: lessons learned from two case studies. - Konstantinos Michos; Charles Lang; Davinia Hernández-Leo; Detra Price-Dennis (LAK, 2020)

A Stakeholder Informed Professional Development Framework to Support Engagement with Learning Analytics. - Geraldine Gray; Ana Elena Schalk; Pauline Rooney; Charles Lang (LAK, 2021)

Learning Analytics and Stakeholder Inclusion: What do We Mean When We Say "Human-Centered"? - Charles Lang; Laura Davis (LAK, 2023)

Challenge variance: Exploiting format differences for personalized learner models. - Charles Lang; Korinn S. Ostrow (UMAP, 2024)