Crowd-sourced learning in MOOCs: learning analytics meets measurement theory. - Sandra Milligan (LAK, 2015)

MOOCs Meet Measurement Theory: A Topic-Modelling Approach. - Jiazhen He; Benjamin I. P. Rubinstein; James Bailey 001; Rui Zhang 003; Sandra Milligan; Jeffrey Chan (AAAI, 2016)

Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. - Sandra Milligan; Jiazhen He; James Bailey 001; Rui Zhang 003; Benjamin I. P. Rubinstein (LAK, 2016)

Learning design and feedback processes at scale: stocktaking emergent theory and practice. - Ulla Ringtved; Sandra Milligan; Linda Corrin (LAK, 2016)

TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs. - Jiazhen He; Rui Zhang 003; James Bailey 001; Benjamin I. P. Rubinstein; Sandra Milligan (CoRR, 2016)

Measurement of the ability to generate higher order learning in MOOCs. - Sandra Kaye Milligan (2016)

Understanding Learning and Learning Design in MOOCs: A Measurement-Based Interpretation. - Sandra Kaye Milligan; Patrick Griffin (J. Learn. Anal., 2016)

DesignLAK17: quality metrics and indicators for analytics of assessment design at scale. - Ulla Ringtved; Sandra Milligan; Linda Corrin; Allison Littlejohn; Nancy Law (LAK, 2017)

Methodological foundations for the measurement of learning in learning analytics. - Sandra K. Milligan (LAK, 2018)

Assessment in the age of artificial intelligence. - Zachari Swiecki; Hassan Khosravi; Guanliang Chen; Roberto Martínez Maldonado; Jason M. Lodge; Sandra Milligan; Neil Selwyn; Dragan Gasevic (Comput. Educ. Artif. Intell., 2022)

Learning analytics and assessment: Emerging research trends, promises and future opportunities. - Mladen Rakovic; Dragan Gasevic; Saeed-Ul Hassan; José A. Ruipérez-Valiente; Naif R. Aljohani; Sandra Milligan (Br. J. Educ. Technol., 2023)