Eye-tracking analysis of computer networks exam question besides different skilled groups

The article presents an eye tracking analysis based study in context of learning IT skills. The goal of eye tracking analysis is to determine the gaze movement differences between students with different prior knowledge during answering a question in the topic of computer networks. The gaze movement was tracked by cost-effective Eye Tribe tracker, and the eye movement data was evaluated by Ogama software. Examinations were organized as a student's project using the methodology of project-based learning. The study shows that differences can be detected in eye movement parameters of students with different prior knowledge, in the number and duration of fixations and length of saccades.

[1]  K. Rayner.  Eye movements in reading and information processing: 20 years of research. , 1998, Psychological bulletin.

[2]  Marco Porta,et al.  Emotional e-learning through eye tracking , 2012, Proceedings of the 2012 IEEE Global Engineering Education Conference (EDUCON).

[3]  Marco Porta.  Implementing eye-based user-aware e-learning , 2008, CHI Extended Abstracts.

[4]  Cristina Hava Muntean,et al.  Sensing Learner Interest Through Eye Tracking , 2009 .

[5]  Marco Porta,et al.  e5Learning, an E-Learning Environment Based on Eye Tracking , 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

[6]  Peter Baranyi,et al.  Cognitive infocommunications: CogInfoCom , 2015, 2010 11th International Symposium on Computational Intelligence and Informatics (CINTI).

[7]  Areej Al-Wabil,et al.  Exploring the validity of learning styles as personalization parameters in eLearning environments: An eyetracking study , 2010, 2010 2nd International Conference on Computer Technology and Development.

[8]  Laura Chamberlain.  Eye Tracking Methodology; Theory and Practice , 2007 .

[9]  Päivi Majaranta,et al.  Design issues of iDICT: a gaze-assisted translation aid , 2000, ETRA.

[10]  M A Just,et al.  A theory of reading: from eye fixations to comprehension. , 1980, Psychological review.

[11]  Albrecht Schmidt,et al.  Detailed Monitoring of User's Gaze and Interaction to Improve Future E-Learning , 2007, HCI.

[12]  Hari Singh Dhillon,et al.  Human Eye Tracking and Related Issues: A Review , 2012 .

[13]  Florian Schmidt-Weigand,et al.  A closer look at split visual attention in system- and self-paced instruction in multimedia learning , 2010 .

[14]  Hua Wang,et al.  Empathic tutoring software agents using real-time eye tracking , 2006, ETRA '06.

[15]  Edwin S. Dalmaijer,et al.  Is the low-cost EyeTribe eye tracker any good for research? , 2014 .

[16]  Jürgen Pripfl,et al.  Eye-Tracking Adaptable e-Learning and Content Authoring Support , 2006, Informatica.

[17]  Panagiotis Germanakos,et al.  Eye-Tracking Users' Behavior in Relation to Cognitive Style within an E-learning Environment , 2009, 2009 Ninth IEEE International Conference on Advanced Learning Technologies.