Adaptation and Personalization in Computer Science Education
A workshop at the 28th ACM Conference on User Modeling, Adaptation and Personalization, ACM UMAP 2020, Jul. 14-17, 2020 – Genoa, Italy
Deadline Extended to April 16, 2020
The workshop will take place on the same dates as a virtual online event, if the ongoing pandemic makes this necessary. The UMAP workshops adjunt proceedings will be published by ACM as planned.
In recent years a wide range of tools and applications have been developed for supporting Computer Science Education, ranging from physical devices to visual programming languages and web applications. Individual and cooperative learning processes must be supported in a complex scenario in which learners have different education levels, motivations, and expectations. In this setting technological solutions play a central role in modeling user needs and in providing personalized support to improve the effectiveness and satisfaction of learning experiences.
The workshop aims at bringing together researchers, practitioners and education stakeholders to discuss challenges and future directions on adaptation and personalization in Computer Science Education.
The workshop topics of interest are related to computer-assisted personalization applications and aspects of computer science education, while targeting single or multiple stakeholders. In particular, we encourage the submission of papers with research ideas, concrete case-studies, discussion of practical experiences or course/study curriculum/lab activities.
The workshop will take place on the same dates as a virtual online event, if the ongoing covid-19 pandemic makes this necessary. The UMAP workshops adjunt proceedings will be published by ACM as planned.
All papers must be original and not simultaneously submitted to another journal or conference. All submissions must be written in English. We expect authors, PC, and the organizing committee to adhere to the ACM’s Conflict of Interest Policy and the ACM’s Code of Ethics and Professional Conduct. Authorsshould use the ACM SIG Standard (SIGCONF) proceedings template https://www.acm.org/publications/proceedings-template.
Papers should be submitted as PDF files to Easychair at https://easychair.org/conferences/?conf=apcse2020.
Please be aware that at least one author per paper needs to register and attend the workshop to present the work (remote presentations or recordings will be possible should a physical conference be unsafe or should people have travel limitations from Governments, due to COVID19).
The following four types submission are welcome:
- Full papers (6-8 pages) should be clearly placed with respect to the state of the art and state the contribution of the proposal in the domain of application, even if presenting preliminary results. In particular, research papers should describe the methodology in detail, experiments should be repeatable, and a comparison with the existing approaches in the literature should be made.
- Short papers (4 pages) should introduce new point of views in the workshop topics or summarize the experience of a researcher or a group in the field. Practice and experience reports should present in detail real-world scenarios in which personalization is employed.
- Demo papers (2 pages) should present a prototype or an application. The systems will be shown at the workshop.
- Position papers (2 pages) should include a brief introduction followed by a comprehensive breakdown of your position on the topics of interest of the workshop.
APCSE2020 proceedings will be published in an Adjunct UMAP 2020 Workshop Proceedings published by ACM.
We encourage the submission of papers with research ideas, concrete case-studies, discussion of practical experiences or course/study curriculum/lab activities in the following areas:
– Team-based cs education tools (multiplayer/distributed games/coding environments)
– Personalization of cs education tools
– Augmented and virtual reality in cs education
– Agent-based modeling and simulation in cs education
– Mobile and web-based applications for cs education
– Data Science and Artificial intelligence in cs education
– IoT-frameworks applied to cs education
– Evaluation metrics for activities based on cs education tools
|Yeray D.C. Barrios Fleitas||University of Twente, Nederland|
|Manuela Chessa||Università di Genova, Italy|
|Alexandra Cristea||University of Durham, United Kingdom|
|Sabine Graf||Athabasca University, Canada|
|Juraj Hromkovič||ETH Zürich, Switzerland|
|Milos Kravcik||DFKI Berlin, Germany|
|Imène Jraidi||University of Montreal, Canada|
|Michael Lodi||Università di Bologna, Italy|
|Violetta Lonati||Università di Milano, Italy|
|Viviana Mascardi||Università di Genova, Italy|
|Mattia Monga||Università di Milano, Italy|
|Nicoletta Noceti||Università di Genova, Italy|
|Francesca Odone||Università di Genova, Italy|
|Viktoria Pammer-Schindler||University of Graz, Austria|
|Elvira Popescu||University of Craiova, Romania|
|Lorenzo Repetto||Bebras Group, Italy|
Giorgio Delzanno, Giovanna Guerrini, Daniele Traversaro
Università di Genova, Italy
Paper submission (position: 2 pages, short :4 pages, long: 8 pages): April 16, 2020
Notification to authors: April 30, 2020
Workshop papers camera-ready deadline: May 6, 2020
Workshop Date: July 17, 2020
PyWeCode: Towards a Collaborative Coding Framework based on the arcade Python Library
Giorgio Delzanno, Giovanna Guerrini, Viviana Mascardi and Daniele Traversaro
Prediction of student performance in abacus-based calculation using matrix factorization
Keita Tokuda, David Kaschub, Takuma Ota, Yasunobu Hashimoto, Naoya Fujiwara and Akihito Sudo
Slow Rogaining: An Innovative Teamwork Model for Computer Science Education
Giorgio Delzanno, Giovanna Guerrini, Viviana Mascardi, Luca Gelati, Vincenzo Petito, Francesca Vitali, Angelo Ferrando, Davide Ancona, Manuela Chessa, Nicoletta Noceti and Francesca Odone
Flow Programming: A Flexible Way to Bring the Internet of Things into the Lab
Davide Ancona, Giorgio Delzanno, Lorenzo Benvenuto and Gianluca Gambari
A Virtual Reality Game Design for Collaborative Team-Building: a Proof of Concept, Chiara Bassano, Giorgio Ballestin, Fabio Solari and Manuela Chessa
Gaspare Ferraro, Giovanni Lagorio and Marina Ribaudo
Codinji: Welcome to the Coding Jungle!
Giorgio Delzanno, Giovanna Guerrini, Simone Perotto, Flavio Traverso, Sofia Mammoliti and Susanna Staglianò
Tangible coding for kids with AI inside
Nicoletta Noceti, Francesca Odone, Antonio Marsella, Matteo Moro and Elena Nicora
Sonic Pi for TBL Teaching Units in an Introductory Programming Course,
Daniele Traversaro, Giovanna Guerrini and Giorgio Delzanno
Personalized Remedial Recommendations for SQL Programming Practice System, Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä and Lauri Malmi