Call for Papers
We are interested in submissions that describe a full operational solution or working in progress that provide recommendations of Learning-paths or other related manners to guide students in e-learning scenarios. Sorne topics of interest of the workshop are (but not limited to):
• Modeling of Learning Paths
• Modeling of Users’ Profiles to LPRS
• Modeling of Users’ Profiles to Sequential Recommendation
• New Approaches to LPRS
• New Techniques to Guide Students in E-learning Scenarios
• Learning Analytics to Guide Students Through Learning Resources
• New Approaches to Sequential Recommendations
• Adaptative Approaches to Handle E-learning Resources
• Explicable and Trustworthy LPRS
• LPRS that Looks Beyond the Accuracy
• LPRS Covering Multiple Sources and Types of Resources
• Modeling of Massive Amount of Educational Resources
• Use of Big Data in LPRS
• Privacy and Ethics in LPRS
• HCI Factors in LPRS
• LPRS to Support Disadvantaged Schools and Students
• Domain-specific LPRS
• Evaluation of LPRS
• Real World Applications of LPRS
**To submit your paper follow the conference link in easy chair and check the track “Workshop-LPRS”:
**All the accepted papers will be published in adjunct proceedings of UMAP by ACM.