29^th Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021)

June 21-June 25, 2021, Utrecht, the Netherlands & Online

Scope & Topics

29^th Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021) We will be happy to welcome all of you who are willing, able and allowed to travel in Utrecht, the Netherlands. Utrecht is a lively city with many attractions, cultural events and the Dutch canals that you probably would expect. The city is easily reachable by train, with less than 30 minutes travel time from Schiphol Airport.

AWe are still figuring out all the details, which we hope to announce bit by bit during the next couple of months. Stay tuned for further updates.

Topics of Interest

• Personalization of the web experience in social systems
• Adaptations based on personality, society, and culture
• Personalization algorithms and protocols inspired by human societies
• Social recommendation
• Identifying social identities in social media
• Social and crowd-generated data for adaptation
• Personalized information retrieval
• Exploiting quantified self data on the social web of things
• Data-driven approaches for personalization
• Modeling individuals, groups, and communities
• Collective intelligence and experience mining
• Pattern and behavior discovery in social network analysis
• Opinion mining for user modeling
• Sentiment analysis
• Topic modeling for online conversations and short texts
• Applications on the social web, e.g. for public safety
• Incentivizing participation & behavior change on the social web
• Privacy, perceived security, and trust and distrust in social systems
• Ethical issues involved in studying the social web
• User awareness and control, social visualization
• Evaluation methodologies for the social web
• Domain, learner, teacher and context modeling
• Modeling cognitive, metacognitive, motivational, affective, and psychomotor aspects of learning
• Diagnosis of learner needs and calibration of support and feedback
• Adaptive and personalized support for learning
• Dealing with ethical issues involved in detecting and modeling a wider range of information sources (e.g., information from novel sensing devices, ambient intelligent features) that may affect learning
• Management of large, open, and public datasets for educational data mining
• Agent-based learning environments and virtual pedagogical agents
• Open corpus personalized learning
• Collaborative and group learning
• Adaptive technologies to orchestrated classroom Learning
• Personalized teachers’ awareness and support tools
• Multimodal learning analytics to personalize learning
• UMAP aspects in specific learning solutions: educational recommender systems, intelligent tutoring systems, serious games, personal learning environments, MOOCs
• Wearable technologies and augmented reality in adaptive personalized learning
• Processing collected data for UMAP: educational data mining, learning analytics, big data, deep learning.
• Semantic web and ontologies for e-learning
• Interoperability, portability, and scalability issues
• Case studies in real-world educational settings
• New methodologies to develop user-centered highly personalized learning solutions
• Learning analytics

Paper Submission

Papers will be submitted through EasyChair: Submission System