Predicting Spatial Visualization Problems’ Difficulty Level from Eye-Tracking Data
The difficulty level of learning tasks is a concern that often needs to be considered in the teaching process. Teachers usually dynamically adjust the difficulty of exercises according to the prior knowledge and abilities of students to achieve better teaching results. In e-learning, because there i...
Main Authors: | Xiang Li, Rabih Younes, Diana Bairaktarova, Qi Guo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/7/1949 |
Similar Items
-
Eye tracking and visualization. Introduction to the Special Thematic Issue
by: Michael Burch, et al.
Published: (2018-05-01) -
Visual Multi-Metric Grouping of Eye-Tracking Data
by: Ayush Kumar, et al.
Published: (2018-02-01) -
Using Eye Tracking to Explore the Guidance and Constancy of Visual Variables in 3D Visualization
by: Bing Liu, et al.
Published: (2017-09-01) -
Data-Visual Relationships to Subject Performance and Eye Movements
by: Arno Klein
Published: (2016-04-01) -
Using Eye Tracking to Explore the Impacts of Geography Courses on Map-based Spatial Ability
by: Weihua Dong, et al.
Published: (2018-12-01)