We welcome theoretical or empirical submissions of position papers, case studies, ongoing research, or opinion pieces on the following topics:

Data Collection: papers exploring the types of data that can be collected during both offline and online project work and the methods for collecting this data.

Modeling behaviors during project work: papers that identify patterns of behavior among students and discuss how they can be used to provide feedback, coaching, or recommendations.

Inferences: studies detecting learning outcomes from real-time interactions during projects.

Assessment approaches and ontologies:  papers on methods to assess students’ project work, as well as discussions on setting criteria for the assessment of projects and fairness in evaluation.

Intelligent systems: papers examining the development and use of intelligent systems to support project work and the challenges faced in implementing these systems.

Cultural considerations and other characteristics for personalization: research on the role of culture or individual characteristics in the development, testing, and implementation of technologies to support project work.

Translation to practice: research on the barriers and challenges faced in translating research to practice and the strategies for overcoming these obstacles.

Ethics, Regulation, and Privacy: analyses of the ethical considerations for collecting student data during projects and the steps that need to be taken to safeguard student privacy. Discussions on the steps that need to be taken to ensure that these technologies are beneficial to students as well as mechanisms to mitigate or exploit the observer effect.