Workshop: Design and application of collaborative, dynamic, personalized experimentation

J. J. Williams, N. Heffernan, O. Poquet

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The proposed workshop will focus on the design and application of randomized experimental comparisons, that investigate how components of digital problems impact students’ learning and motivation. The workshop will demonstrate how randomized experiments powered by artificial intelligence can enhance personalized components of widely-used online problems, such as prompts for students to reflect, hints, explanations, motivational messages, and feedback. The participants will be introduced to dynamic experiments that reweight randomization to be proportional to the evidence that conditions are beneficial for future students and will consider the pros and cons of using such more advanced statistical methods to ensure research studies lead to practical improvement. The focus will be on real-world online problems that afford the application of randomized experiments; examples include middle school math problems (, quizzes in on-campus university courses, activities in Massive Open Online Courses (MOOCs). The attendees will have the opportunity to collaboratively develop hypotheses and design experiments that could then be deployed, such as investigating the effects of different self-explanation prompts on students with varying levels of knowledge, verbal fluency, and motivation. This workshop aims to identify concrete, actionable ways for researchers to collect data and design evidence-based educational resources in more ecologically valid contexts.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings
EditorsRose Luckin, Kaska Porayska-Pomsta, Benedict du Boulay, Manolis Mavrikis, Carolyn Penstein Rosé, Bruce McLaren, Roberto Martinez-Maldonado, H. Ulrich Hoppe
PublisherSpringer Verlag
Number of pages4
ISBN (Print)9783319938455
StatePublished - 2018
Externally publishedYes
Event19th International Conference on Artificial Intelligence in Education, AIED 2018 - London, United Kingdom
Duration: 27 Jun 201830 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10948 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Conference on Artificial Intelligence in Education, AIED 2018
Country/TerritoryUnited Kingdom


Dive into the research topics of 'Workshop: Design and application of collaborative, dynamic, personalized experimentation'. Together they form a unique fingerprint.

Cite this