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Eye Tracking Erkenntnisse in der Lehrforschung Q3 2024

Die Eye Tracking-Technologie hat die Lehrforschung erheblich verbessert, da sie detaillierte Einblicke in kognitive Prozesse und Lernverhalten ermöglicht. In Studien wurde Eye Tracking eingesetzt, um Missverständnisse in der Physik, Flow-Erfahrungen beim KI-basierten Lernen und Blickmuster bei Sprachkenntnistests zu untersuchen. Diese Methode war auch für das Verständnis der Untertitelrezeption, des Multimedia-Lernens und der Aufgabenverarbeitung in der Ingenieurausbildung von entscheidender Bedeutung. Diese Ergebnisse unterstreichen die Rolle von Eye Tracking bei der Weiterentwicklung von Bildungsstrategien und der Verbesserung von Lernergebnissen.

Role of inhibition in overcoming interferences of misconception under similar feature saliency: An eye-tracking study of the projectile motion problem

Yanrou Wen, Jiabei Lin, Yue Ming, Junpeng Zhang, Xianqiu Wu, Lei Bao, Keke Yu & Yang Xiao

Misconceptions coexisting with scientific understanding pose significant challenges in physics education. Inhibitory control may enable individuals to overcome interference from misconceptions. However, discerning the role of inhibitory control becomes intricate when the saliency of scientific- and misconception-related features varies in a problem. This study investigates the role of inhibitory control in overcoming such misconceptions when scientific and misconception-related features are similarly salient, particularly focusing on the range-time (rang...

Flow in ChatGPT-based logic learning and its influences on logic and self-efficacy in English argumentative writing

Ruofei Zhang, Di Zou, Gary Cheng & Haoran Xie

Flow is a state of full engagement in an activity. Learning environments featured by Skill-challenge balance, Clear goal, Feedback, and Playability — collectively known as flow antecedents – can induce flow experiences and improve learning outcomes. ChatGPT-based environment seems to encourage a flow in learners: By customising tasks to match students' abilities, aligning materials with clear objectives, providing instant feedback, and ensuring ease of use, ChatGPT can help learners enter a flow state, which, in turn, leads to improved learning. However,...

The predictive value of gaze behavior and mouse-clicking in testing listening proficiency: A sensor technology study

Yue Qiu & Vahid Aryadoust

This study employed eye-tracking and mouse click frequency analysis to investigate the predictive power of gaze behaviors, mouse-clicking, and their interactive effects with linguistic backgrounds on the IELTS (International English Language Testing System) listening test scores. A total of 77 test takers (45 with English as their first language (E-L1) and 32 with English as their second language (E-L2)) participated in this study. Their eye movements and mouse click frequencies were recorded as they took a computer-based IELTS listening test. The subseq...

Examining gaze behavior in undergraduate students and educators during the evaluation of tooth preparation: an eye-tracking study

Frédéric Silvestri, Nabil Odisho, Abhishek Kumar & Anastasios Grigoriadis

Gaze behavior can serve as an objective tool in undergraduate pre-clinical dental education, helping to identify key areas of interest and common pitfalls in the routine evaluation of tooth preparations. Therefore, this study aimed to investigate the gaze behavior of undergraduate dental students and dental educators while evaluating a single crown tooth preparation.

Exploring the Impact of Math Anxiety and Task Difficulty on Pupil Dilation in Adults and Young Children

Laura Galeano & Gustaf Gredebäck

We investigated the relations between self‐reported math anxiety, task difficulty, and pupil dilation in adults and very young children during math tasks of varying difficulty levels. While task difficulty significantly influenced pupillary responses in both groups, the association between self‐reported math anxiety and pupil dilation differed across age cohorts. The children exhibited resilience to the effects of math anxiety, hinting at additional influential factors such as formal math education experiences shaping their relations to mathematics and t...

Machine-Translated Subtitles and Education: The Future of More Accessible Learning? – Insights from an Eye- Tracking Study

Frederike Schierl

Globalization has flattened the world. This does not apply only to the global economy, but also increasingly to education. In line with this, educational material available online and in video format has become an integral part of today’s education. Despite the availability, support with the aid of audiovisual translation is sometimes needed to make the content more accessible, which especially applies to content in a language other than the student might be proficient in. In these cases, subtitling has become an important aid to support this need. ...

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Eye tracking study in children to assess mental calculation and eye movements

Malena Manchado Porras, Carolien A. N. Knoop-van Campen, Javier J. González-Rosa, Francisco L. Sánchez-Fernández & José I. Navarro GuzmánPLOS One

Eye tracking technology is a high-potential tool for different mathematic cognition research areas. Moreover, there is a dire need for more studies that provide detailed information on the quality of registered eye data. This study aimed to illustrate the applicability of eye tracking in the examination of mathematical cognition, focusing specifically on primary school students completing a computerized mental arithmetic task. Results suggested that the eye tracking device effectively captured high-quality eye movement data when primary school children e...

Measuring (meta)cognitive processes in multimedia learning: Matching eye tracking metrics and think‐aloud protocols in case of seductive details

Lisa Stark, Andreas Korbach, Roland Brünken & Babette Park

In recent years, eye tracking has become a prominent method for learning research as it is assumed to indicate (meta)cognitive processes. However, there is little empirical evidence for hypothesized relations between eye tracking indicators and specific (meta)cognitive processes so that construct validity of used metrics can be questioned.

USING EYE-TRACKING DATA TO RECOGNIZE PROBLEMS IN THE PROCESSING OF TASKS IN THE FUNDAMENTALS OF ELECTRICAL ENGINEERING

Johannes Paehr & Thomas N. Jambor

Electrical engineering students face the challenge of starting their studies with different pre-conceptions, especially in the first semesters, and so the challenges are manifold. In addition to subject-specific problems, language problems can also be a barrier when working on tasks such as sorting resistance networks according to resistance in ascending order. For this reason, we research how to support our students automated. The target application is a VR environment where eye-tracking data can be collected. The application should automatically recogn...

Performance and eye movement patterns of industrial design students reading sustainable design articles

Yongchun Mao, Yanjun Han, Puhong Li, Chengming Si & Dan WuPLOS One

Sustainable design education plays a crucial role in cultivating sustainability awareness and competencies among students studying industrial design. This research investigates their sustainability levels, reading performance when engaging with articles, and fixation patterns during reading. 60 industrial design students participated in the study. We evaluated their sustainability levels using the Sustainable Consumption Measurement Scale. After reading both theoretical and case article, they completed tests assessing their recall and perspective scores....

Advancing Real-Time Remote Learning: A Novel Paradigm for Cognitive Enhancement Using EEG and Eye-Tracking Analytics

Nuraini Jamil & Abdelkader Nasreddine BelkacemLecture Notes in Information Systems and Organisation Technology Driven Transformation

This study explores the convergence of biometric analytics and machine learning in online education, where the level of student participation directly impacts academic achievement. In this study, various machine learning models were employed to identify cognitive states using eye-tracking and electroencephalogram data, which can provide quantitative indicators of cognitive activity. A comparative analysis of convolutional neural network (CNN), logistic regression, decision tree, random forest, gradient boosting, support vector machine, and K-nearest neig...

Investigating behavioral and cognitive patterns among high-performers and low-performers in Co-viewing video lectures

Zhongling Pi, Yuan Yang, Xin Zhao, Qiuyi Guo & Xiying Li

Co-viewing video lectures, where students watch lectures simultaneously with one or more remote peers and engage in interpersonal communication on learning tasks online, is becoming increasingly popular. However, there is a dearth of studies examining students' behavioral and cognitive patterns during the co-viewing process. This study employed eye-tracking and screen recording methods to examine undergraduate students' learning processes in co-viewing video lectures. It specifically focused on how students used video lectures and engaged in discussions ...

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