Utilizing Eye Tracking to Improve Learning from Examples

@inproceedings{Najar2014UtilizingET,
  title={Utilizing Eye Tracking to Improve Learning from Examples},
  author={Amir Shareghi Najar and Antonija Mitrovic and Kourosh Neshatian},
  booktitle={Interacci{\'o}n},
  year={2014}
}
In recent year, eye tracking has been used in many areas such as usability studies of interfaces, marketing, and psychology. [] Key Method In order to comprehend SQL examples, students require information available in the database schema. We analyzed students’ eye movement data from different perspectives, and found that advanced students paid more attention to database schema than novices. In future work, we will use the outcomes of this study to provide proactive feedback.
View via Publisher
ictg.canterbury.ac.nz
12 Citations
Background Citations
4
Methods Citations
2

12 Citations

Eye Tracking and Studying Examples: How Novices and Advanced Learners Study SQL Examples

The goal of the project reported in this paper was to investigate how novices and advanced students learn from examples, and it was found that advanced students paid more attention to database schema thanNovices.

Determining Gaze Behavior Patterns in On-Screen Testing

This study proposes a software system that applies machine learning techniques to eye-movement data obtained from an eye-tracking device to categorize students according to their gaze behavior pattern while solving an on-screen test.

Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies

Eye Movements during Barking at Print

  • T. BeeldersA. Stott
  • Linguistics
    Visual Impairment and Blindness - What We Know and What We Have to Know
  • 2020
In order for educational software coupled with eye-tracking capability to respond with pedagogical appropriateness to a reader’s eye movements, reading metrics must be validly interpreted. These…

Detecting task demand via an eye tracking machine learning system

Eye-Tracking Assistive Technologies for Individuals With Amyotrophic Lateral Sclerosis

A review of existing eye-tracking software and hardware through whichEye-tracking their application is sketched as an assistive technology to cope with ALS and artificial intelligence has been utilized to improve eye- tracking technology with significant improvement in calibration and accuracy.

Motivational and metacognitive feedback in SQL-Tutor*

The aim of the research was to improve the learner’s focus on the process and experience of problem-solving while using an Intelligent Tutoring System (ITS) and including motivational and metacognitive feedback based on the learners’ past states and experiences.

Analysis Eye Movements During Reading by Machine Learning Algorithms: A Review Paper

This work has studied some of these studies that analyze eye movements recording during reading by various machine learning algorithms.

Toward Real-time Brain Sensing for Learning Assessment: Building a Rich Dataset

This work aims to develop a robust system that can classify a user's cognitive state during a learning activity, using brain data collected with functional near-infrared spectroscopy, an emerging non-invasive neuroimaging tool.

Attentional Allocation with Low-Limb Assisted Exoskeleton During Sit-to-Stand, Stand-to-Sit, and Walking

References

SHOWING 1-10 OF 29 REFERENCES

Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation

Do Your Eyes Give It Away? Using Eye Tracking Data to Understand Students' Attitudes towards Open Student Model Representations

A novel way of using eye gaze tracking data is looked at to see if such data provides any clues as to how students use open student model representations and if they understand them.

Visual Attention in Open Learner Model Presentations: An Eye-Tracking Investigation

Results suggest some views of the learner model information may be more likely to encourage learners to inspect information about their level of knowledge, whereas in other views attention is directed more towards scanning the view, resulting in a lower proportion of time focussed on knowledge-related data.

Investigating student interactions with tutorial dialogues in EER-Tutor

The preliminary results of a project that investigates how students interact with the tutorial dialogues in EER-Tutor using both eye-gaze data and student-system interaction logs indicate that advanced students are selective of the interface areas they visually focus on, whereas novices waste time by paying attention to interface areas that are inappropriate for the task at hand.

Potentials of Eye-Movement Tracking in Adaptive Systems

A methodological framework of applying eye-tracking into adaptive systems shall be developed and it is proposed to employ the eye-movement tracking technologies for a real-time registration of users’ loci of visual attention, therefore increasing the awareness of the adaptive systems about their current users.

Exploring gaze data for determining user learning with an interactive simulation

Gaze data from users interacting with the CSP applet, an IS for constraint satisfaction problems, is collected, providing evidence that gaze data can be a valuable source of information for building user modes for IS.

Who is the expert? Analyzing gaze data to predict expertise level in collaborative applications

This paper analyzes complex gaze tracking data in a collaborative task and applies machine learning models to automatically predict skill-level differences between participants and provides a qualitative analysis of gaze patterns that reveal the relative expertise level of the paired users in a collaborate learning user study.

Examples and Tutored Problems: How Can Self-Explanation Make a Difference to Learning?

The study showed that the AEP and PO conditions outperformed EO in learning gain, while AEP outperformed PO in conceptual knowledge acquisition, and interleaving examples with supported problems is an optimal choice compared to using examples or supported problems only in SQL-Tutor.

Eye movements in reading and information processing: 20 years of research.

  • K. Rayner
  • Psychology
    Psychological bulletin
  • 1998
The basic theme of the review is that eye movement data reflect moment-to-moment cognitive processes in the various tasks examined.

Do novices and advanced students benefit differently from worked examples and ITS

Using examples alone is not an effective approach for novices and advanced students in comparison with ITSs, and is suggested to be either AEP or PO for advanced students.