EduVis Workshop


IEEE VIS Workshop on Visualization Education, Literacy, and Activities

Workshop goals and Topics
Call for Submission
Important Dates
Program Committee

IEEE VIS Workshop on Visualization Education, Literacy, and Activities

This workshop focuses on visualization education, literacy, and activities and will be held on 23 October 2023 at IEEE VIS in Melbourne, Australia. It intends to bring together scholars to share research and experience and discuss novel activities, teaching methods, and research challenges. The workshop aims to serve as a platform for scholars within and beyond the visualization community such as education, learning analytics, science communication, psychology, or people from adjacent fields such as data science, AI, and HCI. It will include presentations of research papers and practical sessions with hands-on activities. In addition, the workshop will allow participants to discuss challenges they face in data visualization education and outline a research agenda of visualization education, literacy, and activities.

See the full proposal here.


23 October 2023 - IEEE VIS Conference (Melbourne Convention and Exhibition Centre, Room 104)

9.00 - 9:10 AEDT (UTC+11): Workshop Opening & Outline

9:10 - 9:40: Keynote: Data Storytelling in Learning Analytics … and its intertwined relationship with visualisation literacy (Dr. Roberto Martinez-Maldonado, Monash University)

9:40 - 10:15: Paper session

10:15 - 10:45: Coffee Break

10:45 - 11:20: Paper session

11:20 - 12:00: OpenMic VisActivies, WrapUp


Title: Data Storytelling in Learning Analytics … and its intertwined relationship with visualisation literacy

Data is omnipresent, yet that doesn’t necessarily make us more knowledgeable. The ultimate goal of data analytics is to extract key insights from data to inform decision-making. In education, this is the mission of the fast-growing field of Learning Analytics. This area employs a variety of data-centric tools, from data visualizations to intricate predictive models, to enhance teaching and learning. Yet, the primary objective is to “close the analytics loop” by delivering actionable feedback or recommendations directly to students and educators. This presents a challenge in human-data interaction. Currently, most end-user learning analytics interfaces rely on dashboards featuring various data visualizations, which are often complex and hard to interpret by students and teachers. But the question remains: Can we do better than simply showing charts to students and teachers?

In this keynote, I will discuss about our most recent work in bringing Data Storytelling to Learning Analytics in various collaborative learning settings. This is an emerging approach that shifts the focus from visualising data points to the narratives that can be derived from them. This can be accomplished in several ways, such as combining visualizations with narrative to convey insights, crafting text-based learning analytics tools, experimenting with alternative visualisation techniques like data comics, or developing analytics tools that teachers can use to guide students’ reflection. We have also explored whether data storytelling provides more support to audiences with lower visualization literacy.

BIO: Dr. Roberto Martinez-Maldonado received the Ph.D. degree in Information Technologies from the University of Sydney, in 2014. He is currently a Senior Lecturer of Learning Analytics and Human-Computer Interaction with the Faculty of Information Technology and Coordinator of the Centre for Learning Analytics with Monash University, Melbourne, VIC, Australia. He is a co-author of numerous research papers. He is the first Mexican-Australian to win the Swiss-based Jacobs Foundation Research Fellowship (2021–23) for his pioneering research in Human-Centred AI in Education. His research focuses on advancing the understanding of socio-technical issues around the use of artificial intelligence in education, promoting the use of human-centred methodologies to create learning analytics interfaces with integrity and enhancing authentic learning spaces with multimodal data-intensive computing capabilities. He has been Program Chair of the International Conference on Learning Analytics and Knowledge and the International Conference of Artificial Intelligence in Education and he is a regular Associate Chair of the Learning and Education subcommittee of the SIGCHI Conference on Human Factors in Computing Systems. He is Associate Editor of the International Journal of Artificial Intelligence in Education.

Workshop goals and scope of topics

With this workshop, we want to achieve the following goals:

The workshop topics include, but are not limited to:

Call for Submission

The workshop accepts two types of submissions:

At least one author per accepted paper must register for IEEE VIS and present the work at the workshop, which will take place on 22 or 23 October 2023 during the conference in Melbourne, Australia. There is no online or hybrid participation planned this year.

Important Dates

All deadlines are at 11:59pm (23:59) AoE Anywhere on Earth

Program Committee