Process-aware higher education is an area of education where teaching and learning activities involving instructors, learners, applications and/or information sources are managed and executed based on process models. Application of Learning analytics approaches help to model and study these process models. The objective of this special track is to provide a forum for the discussion of recent research trends and applications of data analytics integrated with artificial intelligence approaches for process-aware higher education. The forum will offer an opportunity for instructors, researchers, instructional designers and administrators to identify and discuss new promising research directions in this challenging scenario.
Topics of interest include but are not limited to:
● Tools for combining AI and higher education
● Formal methods for AI and higher education techniques
● Software for knowledge acquisition and representation
● Intelligent search engines for education analytics
● Learning analytics for educational environments
● Active learning and laboratory experience
● Experiments and Assessment
● Classroom, Laboratory, Learning, and Course Management Systems
● Computational Thinking
AI techniques applied to higher education include but are not limited to:
● Machine and Deep Learning
● Explainable Artificial Intelligence approaches
● Process Mining
● Neural Networks, Generative Adversarial Networks, Reservoir computing
● Evolutionary Algorithms
● Swarm Intelligence, Simulated Annealing, Tabu Search
● Probabilistic Reasoning
● Fuzzy Logic
● Game Theory
● Logic and reasoning and Knowledge representation
Pasquale Ardimento, University of Bari Aldo Moro, Italy
Mario Luca Bernardi, University of Sannio, Italy
Fabrizio Maria Maggi, University of Bolzano, Italy