eye tracking enhanced learning

ET-EL 2017
Colocated with EC-TEL 2017, Tallinn, Estonia
September 12, 2017
ECTEL Registration Information

Program

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Overview

Eye-tracking provides unprecedented access to TEL users’ attention. The recent advents in the technology have made eye-trackers an off-the-shelf technology for the researchers. The professional eye-tracking solutions (from Tobii, SMI, etc.) have introduced laptops with embedded eye-trackers; this kind of advancement will help eye-tracking grow, in the near future, to become a common technology rather than a researcher’s tool.   

Gaze patterns have potential to be used in a wide space of TEL “ecosystem”, that is, different learning scenarios (distant/face-to-face, individual/collaborative); different learning instruments (multimedia, immersive or tangible); different learning formats (formal or informal); different planes in a classroom (individual, group, or the class); both sides of the instruction (teacher and/or student); tutoring systems and gaze-aware applications to support students in collaborative and/or individual settings. The use of eye-tracking will not only help us enriching our understanding about learning processes and relation of the gaze with the learning outcomes, but also proactively use students’ gaze to inform them about their progress and mistakes. In this workshop, we aim to bring contributions from various subspaces of this TEL “ecosystem”.  

This workshop provides the opportunity to the TEL researchers to discuss/share their ideas/experiences form analysing/using gaze data in TEL scenarios. It will facilitate further collaboration among the researchers who share synergetic research questions. Seemingly, there is an inertia to use eye-tracking as a tool among researchers. There are two contrasting reasons for this inertia. First, there is an understanding that eye-tracking is a technology jargon (over estimation) and hence it is not used. Second, people consider eye-tracking as a research plugin (under estimation) and try to use it alongside an already designed technology; in most of such cases, this results in unfruitful results and hence researcher is discouraged to use eye-tracking.  Apart from sharing the results/ideas/inquiries about use of eye-tacking in TEL, we would also attempt to address aforementioned reasons for inertia. This will help us to encourage other researchers to include eye-tracking in their investigation methods.

Participate

We invite position papers, not only about the research outcomes, but also about the experiences, failures, success stories, and futuristic ideas (if you want an early feedback for your next experiment). The goal of this workshop is to bring the researchers from various experience levels to share their ideas, opinion and lessons learnt during their respective works with eye-tracking.

The length of the papers should be 4-8 pages. 
All accepted papers, more than 5 pages, would be included in the workshop proceedings at CEUR-WS.
The use of supplied template is mandatory: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

 Suggested areas include, but not limited to:
1.     Personalization, user modelling and adaptation
2.     Learning analytics using gaze patterns
3.     Mobile eye-tracking experiments and applications
4.     Use of eye-tracking in Computer-supported collaborative learning
5.     Eye-tracking and classroom orchestration
6.     Adaptive gaze-aware learning systems
7.     Role of gaze in Ubiquitous learning
8.     Gaze and Massive Open Online Courses (MOOC)  

Position papers should be submitted to eyetrackingenhancedlearning@gmail.com.

The organizers will work for initiating a special issue in Computers in Human Behaviour, where extended versions of the papers can be considered for publication.  

Registration and Venue:   At least one of the paper authors has to register to the workshop by July 30th (EC-TEL Early Bird Registration Deadline). Please register here. The workshop will be co-located with EC-TEL, further details about workshop location will be announced on EC-TEL website.  

Dates:  
Position Paper Submission:  June 30th, 2017
Notification of acceptance: July 22nd, 2017 
Early Bird Conference Registration: July 24th, 2017
Camera ready paper: August 15th, 2017
Participate in the workshop September 12th, 2017
Selected high quality papers: write-up an extended version and submit the paper on a special issue of Computers in Human Behaviour (provisional deadline: early 2018)  

For further information contact the workshop chairs at kshitij.sharma@epfl.ch

Papers

Paper 1: The effects of representation on students’ problem solving approaches
                 Jouni Viiri, Martina Kekule, Jenna Isoniemi, Jarkko Hautala

Paper 2: Informing learning design with learning analytics: Can eye-tracking analytics improve the design of learning experiences?
                Katerina Mangaroska, Hallvard Trætteberg and Michail Giannakos

Paper 3: ET-pipeline: A Framework and Toolkitfor Eye Tracking Data Analysis 
                 Hoorieh Afkari, Shahram Eivazi

Paper 4: Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom
               Thiago Santini, Thomas Kübler, Lucas Draghetti, Peter Gerjets, Wolfgang Wagner, Ulrich Trautwein, and Enkelejda Kasneci

Paper 5: Professional Proxemics: Part I 
                Danyal Farsani, Roberto Araya

Paper 6: Using Eye Tracking to Evaluate and Develop Innovative Teaching Strategies for Fostering Image Reading Skills of Novices in Medical Training  
                 Nora Castner, Shahram Eivazi, Katharina Scheiter, and Enkelejda Kasneci

Paper 7: Scaling Up Mobile Eye-tracking Classroom Studies: Two Approaches 
                Luis P. Prieto, Kshitij Sharma

Paper 8: Collaborative eye-tracking with Children: Lessons Learnt    
                Sofia Papavlasopoulou, Michail Giannakos, Letizia Jaccheri

Paper 9: Pair Program Comprehension: Collaborative and Cognitive DUET Models     
                Kshitij Shrama, Patrick Jermann, Pierre Dillenbourg

Paper 10: An add-on to students’ glasses that can enhance the teacher’s vision    
                  Roberto Araya, Danyal Farsani

Program

Following is the tentative schedule of the workshop:

1.     08h30-09h00: Get to know each other.
2.     09h00-10h00: 10 minutes presentation by individuals, first round, studies/applications - Papers 1, 2, 5, 6, 9
3.     10h00-10h15: Coffee break
4.     10h15-11h15: Workgroups based on different emerging themes, group discussions within the work groups
5.     11h15- 11h30: Another coffee break
6.     11h30-12h00: Start writing the outline of the white paper
7.     12h00-13h30: Lunch break
8.     13h30-14h30: 10 minutes presentation by individuals, second round, tools/reflections- Papers 3, 4, 7, 8, 10
9.     14h30-14h45: Yet another coffee break
10.   14h45-16h30: Continue with the workgroup
11.   16h30-16h45: Final coffee break
12.   16h45-18h00: Write the rest of the outline of the white papers, future discussions, Q&A.

Organizers

Kshitij Sharma received his Ph.D. in Computer Science from the cole Polytechnique Fdrale de Lausanne (EPFL, Switzerland). He is a Postdoctoral researcher at the CHILI lab in EPFL and at the Faculty of Business and Economics (HEC) in the University of Lausanne, Switzerland. His research interests include eye-tracking, MOOCs, collaborative learning, big data analysis, and statistics. He has authored more than twenty five academic publications on these topics.

Dr. Eivazi is a postdoctoral researcher at University of Tübingen, Germany. He has over 7 years experience in various eye tracking both in academia and business sector. He started his professional career in eye tracking in education and educational research, focusing on cognitive states in game learners. Currently, he run an innovative project, researching medical education using eye-hand coordination analysis. 

Roberto Araya, Ph.D. Electrical Engineering from UCLA, is associate researcher at the Centro de Investigación Avanzada en Educación, Universidad de Chile. Dr. Araya in interested in the use of technology to understand social dynamic interactions in classrooms in order to improve teaching practices.

Prof. Luengo is a full Professor in Computer Science. She was trained as an engineer in computer science (USB, Venezuela), she has a Master in didactics and a PH.D in mathematics and computer science (Grenoble). Her research interest is about student and epistemic feedback models, particularly in ill-defined domains. She has around 100 peer-reviewed papers and participated in numerous PC (AIED, ITS, EDM, ICALT, EIAH). She is a scientific evaluator of French and European projects.