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Eye Tracking Einblicke in Q4 2025 Lehrforschung

Im 4. Quartal 2025 spielte die Eye Tracking-Technologie eine zentrale Rolle in der Lehrforschung und ermöglichte ein tieferes Verständnis des Engagements der Schüler, der Lernprozesse und der kognitiven Belastung. Diese Methodik lieferte wertvolle Erkenntnisse darüber, wie Schüler mit Multimediasystemen, Darstellungen in der Mathematik und dem Feedback der künstlichen Intelligenz im Unterricht interagieren. Eye Tracking-Daten erleichterten auch die Vorhersage von Testleistungen und die Erforschung von Unterschieden zwischen Experten und Anfängern in der Wahrnehmung von Mathematiklehrern.

How virtual field trip affects students’ social-emotional competency: an analysis of emotional-cognitive synergy effect

Rong Hu, Jiucheng Lei, Hao Xiang & Piao DuanEducation and Information Technologies

With the rapid advancement of virtual technologies, virtual field trip (VFT) has attracted increasing attention as an innovative pedagogical approach in contemporary education. However, empirical evidence on their effectiveness in promoting students’ competency development—particularly in the area of social-emotional competency (SEC)—remains scarce. To address this issue, this study employed a combination of self-report questionnaires and eye-tracking technology, using emotional scores and eye-movement data to investigate the effects of emotional engagem...

Analysis of the impact of intelligent multimedia educational systems on the learning outcomes of deaf and hard of hearing students

Sihan Yue & Xing TangEducation and Information Technologies

Deaf and Hard of Hearing students face persistent educational inequities due to sensory barriers in traditional pedagogy. Intelligent multimedia systems show potential for perceptual compensation but lack evidence-based frameworks. This study examines how multimodal integration in intelligent systems enhances learning through three dimensions: knowledge transfer efficiency, cognitive engagement, and ecological adaptability. A mixed-methods design was implemented with 132 DHH students (10–18 years) from three East China special education schools. The expe...

Strategic Limitations in Preschoolers’ Relational Spatial Reasoning: Insights from Eye‐Tracking and Instructional Intervention

Chia‐Yen HsiehBritish Journal of Educational Psychology

ABSTRACT Background Relational spatial reasoning is foundational to later mathematical and navigational competencies, yet little is known about the strategic processes preschoolers employ when integrating relational information. Eye‐tracking offers a means to capture these processes, but evidence remains limited, particularly regarding how brief instructional interventions shape children's visual strategies. Aims This study examined whether a short, strategy‐focused instructional intervention enhances preschoolers’ relational spatial reasoning and wheth...

An Integrated Approach to Characterizing Changes in Organic Chemistry Students’ Eye Movements

Axel Langner, Marie Sahba, Maia Popova & Nicole GraulichJournal of Chemical Education

Although the use of representations is crucial for problem-solving in chemistry, students often encounter challenges when using them. Hence, various interventions have been designed to support students’ use of chemistry representations, which can motivate students to modify their visual behavior. However, to fully understand how these interventions affect students, it is crucial not only to understand how they are using representations but also to understand how and to what extent their visual behavior changes in response to these interventions. Since le...

Comparative Analysis of Head Pose Estimation and Eye Gaze Tracking with Machine Learning Classifiers for Proctored Online Examination

P. Rajarajeswari, B. Shivagangatharani & Karthikeyan JothikumarArtificial Intelligence and IoT in Online Education Systems

Head pose estimation and eye gaze tracking are interrelated technologies used to comprehend and evaluate one's head orientation and eye movements. Head posture estimation and gaze tracking are often carried out simultaneously using specialized hardware and sophisticated software techniques. These technologies provide an in‐depth understanding of one's visual attention and engagement with their surroundings. It can be incorporated into online proctoring systems to monitor and analyze an examinee's head orientation and eye movements to detect potential mis...

Comparing cognitive load in chemical and mathematical arithmetic tasks using eye-tracking and self-reports

Kevin Kärcher & Hans-Dieter KörnerChemistry Teacher International

Abstract This study is part of a project presented at ECRICE 2024 to investigate problems with chemical mathematics. Research in chemistry education has repeatedly shown that students at school and university have problems applying their mathematical skills correctly in chemistry. As one possible trigger, we can identify the cognitive load that arises during chemical mathematical tasks. Elementary arithmetic tasks are of particular interest here, as these are rarely examined in the problems with chemical mathematics, although they build the basis of all ...

Engagements with GPT responses and learner prompts in ChatGPT-based learning of English argumentative writing logic and their impacts

Ruofei Zhang, Di Zou, Haoran Xie & Fu Lee WangComputers and Education Artificial Intelligence

ChatGPT can be defined as a chatbot powered by OpenArtificial Intelligence's GPT language models, which has shown promise in improving English-as-a-foreign-language (EFL) writing knowledge and skills. However, its application to developing EFL argumentative writing logic remains largely unexplored, despite the importance of this area. Moreover, existing studies have highlighted deep learner engagement with ChatGPT-based learning but have not examined how engagement varies between two key components of this learning method: GPT responses (GPT's messages t...

The role of extrafoveal vision when interpreting boxplots

Martin Abt, Anselm R. Strohmaier, Frank Reinhold & Wim Van DoorenZDM – Mathematics Education

Boxplots are widely used in descriptive statistics but they are challenging to learn. Particularly the interpretation of the box area often leads to a systematic error, the area bias, when students assume a proportional relation between area and frequency, while the box area represents the interquartile range and thus a measure of variability. By analyzing eye-tracking data, research was able to identify systematic differences in gaze patterns depending on the assumed solution strategy that was used by an individual. While previous studies suggested—base...

Beyond Appearance: Agent anthropomorphism, alignment, and integration in video learning

Yi Zhang, Ke Xu, Jing He, Yana Xing, Jiumin Yang & Zhongling PiComputers & Education

Virtual pedagogical agents (VPAs) are increasingly used in video lectures to simulate instructor presence, yet systematic research on their design features – anthropomorphism, content alignment, and role integration – remains limited. This study addresses this gap through two experiments with 248 university students, examining these factors during a lecture on the human immune system. Measured outcomes included attention (eye tracking), cognitive load, emotions, performance, and behavioral sequences, all of which were chosen to capture cognitive, affecti...

How block-based programming supports novice learners’ coding comprehension: Evidence from eye-tracking lag-sequential analysis

Meng-Jung Tsai, Francis Pingfan Chien, Wan-Ting Sun & Nitesh Kumar JhaComputers & Education

Understanding how novice programmers interact with block-based and text-based programming languages can help optimize instructional approaches and facilitate the transition between the two. This study investigated the coding comprehension and visual behavior patterns of 70 novice college students as they engaged in Scratch (block-based) and Python (text-based) programming tasks. Tobii 4C eye-trackers, the Real Gaze software, and the WEDA platform were utilized to record eye movements, compute eye-tracking metrics, generate heat maps, and conduct lag sequ...

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Immersive experience in virtual reality gamification teaching: analysis of the mediating effect on educational learning outcomes

JianLin LinScientific Reports

The deep integration of virtual reality (VR) technology and education is driving structural changes in teaching paradigms. This study systematically explored the immersion mechanism and educational effects in VR gamification teaching scenarios through a mixed experimental design, and constructed a sample database comprising 720 participants. The research found that the technical threshold for imparting high-complexity knowledge requires a frame rate of ≥ 90FPS and a latency of ≤ 60ms, while creative tasks can achieve an operational accuracy rate of over ...

Privacy Preservation and Identity Tracing Prevention in Artificial Intelligence-Driven Eye Tracking for Interactive Learning Environments

Abdul Rehman, Are Daehlen, Ilona Heldal & Jerry Chun-Wei LinIEEE Access

Eye-tracking technology provides an estimate of where a person is looking and is essential for understanding individual attention and the psychological functions within the cognitive system. It can aid in understanding neurodevelopmental disorders and tracing a person’s identity. However, this technology poses a significant privacy risk, as it captures sensitive information about individuals and increases the likelihood that their data can be traced back to them. This paper proposes a human-centered two-phased framework to prevent identity backtracking w...

Monitoring university students’ learning processes: application of Advanced Learning Technologies and integrated multichannel techniques

María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez, María-Camino Escolar-Llamazares, Luis Jorge Martín-Antón & Rut Velasco-SaizThinking Skills and Creativity

Using Advanced Learning Technologies (ALT) may facilitate the curriculum space needed to promote students’ thinking skills such as self-regulation of thinking, the use of metacognitive strategies, and monitoring learning behaviours. In addition, using integrated multi-channel eye-tracking, Education Data Mining techniques, and data fusion provides information about how each student deploys these strategies at the process level (rather than the results level) and at a level of detail that other techniques do not. The general objectives of this study were:...

From Feel-Good’ to Fits-Me: Task relevance as the key driver in older adults' video-based learning

Yang Wang, Heng Zhao & Huamao PengComputers & Education

As internet access expands, more older adults engage in online non-formal learning, and video-based learning has become one of their primary avenues to continue their education. Because participation is voluntary, understanding what sustains their willingness to continue is critical for lifelong-learning initiatives. This article aims both to clarify how task relevance and learning-related emotion shape older adults' continuance intention of video-based learning and to offer evidence-based guidance for educators and platform designers seeking to enhance ...

Effects of Personalized Generative Artificial Intelligence on Student Creativity: Evidence from Creative Performance, Self-efficacy, and Attention Allocation

Yixuan Chen, Xuemei Wu, Yihua Zhong & Changqin HuangCommunications in Computer and Information Science Technology in Education Smart and Innovative Learning

Personalized generative Artificial Intelligence (GArtificial Intelligence) holds promise in supporting student creativity, though evidence regarding its effectiveness remains limited. This study employed a within-subject design to compare the effects of standard versus personalized GArtificial Intelligence on students’ creative performance, self-efficacy, and attention allocation. Each of the 62 students engaged in two creativity tasks: one with standard GArtificial Intelligence (ChatGPT-4) providing generic feedback, and the other with a personalized GA...

Gaze-based prediction of test performance using machine learning for adaptive learning systems

Yavuz Dinc, Sarah Malone, Verena Ruf, Steffen Steinert, Stefan Küchemann & Jochen KuhnPhysical Review Physics Education Research

Prior research has demonstrated that students’ performance on physics test items can be accurately predicted using machine learning algorithms based on their gaze behavior. These gaze data are typically recorded during item completion and capture students’ visual attention to both the verbal item stem and accompanying visual representations, such as graphs. This predictive capability highlights the potential of machine learning as a tool for the development of Artificial Intelligence-based adaptive learning systems, such as intelligent textbooks, for imp...

Children’s Acquisition of a Novel Mathematical Relation from Images of Simple Versus Rich Objects

Jennifer A. Kaminski & Vladimir M. SloutskyEarly Childhood Education Journal

The present study examined children’s learning and transfer of a non-symbolic mathematical relation from displays of either rich, colorful, familiar objects or simple, generic objects. The results demonstrate that 5-year-old children who learned with rich displays were less able to transfer relational knowledge to displays involving novel objects than those who learned with simple displays. An examination of 5-year-olds’ eye gaze behaviour in a same/different judgment task suggests that images of rich objects result in less efficient behaviour than image...

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Eye-Tracking Data in the Exploration of Students’ Engagement with Representations in Mathematics: Areas of Interest (AOIs) as Methodological and Conceptual Challenges

Mahboubeh Nedaei, Roger Säljö, Shaista Kanwal & Simon GoodchildJournal of Eye Movement Research

In mathematics, and in learning mathematics, representations (texts, formulae, and figures) play a vital role. Eye-tracking is a promising approach for studying how representations are attended to in the context of mathematics learning. The focus of the research reported here is on the methodological and conceptual challenges that arise when analysing students' engagement with different kinds of representations using such data. The study critically examines some of these issues through a case study of three engineering students engaging with an instructi...

Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study

Sven Jacobs, Jan Haas & Natalie KieslerProceedings of the 25th Koli Calling International Conference on Computing Education Research

How students utilize immediate tutoring feedback in programming education depends on various factors. Among them are the feedback quality, but also students’ engagement, i.e., their perception, interpretation, and use of feedback. However, there is limited research on how students engage with various types of tutoring feedback. For this reason, we developed a learning environment that provides students with Python programming tasks and various types of immediate, AI-generated tutoring feedback. The feedback is displayed within four components. Using a mi...

Greening Schoolyards to Improve Child Health: A Quasi-Experimental Study Protocol in Belgian and Dutch Primary Schools

Bo H. W. van Engelen, Lore Verheyen, Bjorn Winkens, Michelle Plusquin, Robert Malina & Onno C. P. van SchayckInternational Journal of Environmental Research and Public Health

Background: Childhood obesity and mental health problems are major public health concerns worldwide. Early-life exposure to green spaces has been shown to promote physical activity, reduce obesity risk, and improve cognitive and emotional development. Schoolyards offer a unique opportunity to promote health, as children spend a large proportion of their time at school. Methods: This quasi-experimental protocol study investigates the effects of transforming gray schoolyards into biodiverse green spaces on children’s health and well-being. Four primary sch...

Lighting effects on visual and cognitive adaptation in multimedia classrooms: a multimodal neurophysiological study

Mengrui Wang, Ning Guo, Yutao Liu, Yitao Fu & Xiang ZhouBuilding and Environment

Classroom lighting influences both visual comfort and cognitive performance, yet its neurophysiological mechanisms remain underexplored in real-world educational environments. This study systematically compared typical daylight and artificial lighting to examine their effects on visual load, attentional regulation, and cortical activation during screen-based learning tasks. Experiments were conducted with forty-one university students in LED-equipped multimedia classrooms. Participants completed two cognitive tasks—2-back (numerical working memory) and S...

An Intelligent Assistive System for Autistic Learners

Sadia Afrin, Afrin Ahmed, Mehrin Anannya, Samrat Kumar Dey, Samrat Kumar Dey, Moshiur Rahman & Rashed MazumderEngineering Reports

ABSTRACT This study presents the design and implementation of an educational assistive system tailored for individuals with Autism Spectrum Disorder (ASD), leveraging eye‐tracking technology and machine learning algorithms. The objective is to support communication and learning experiences through ocular gaze and fixation‐based keyboard selection. An existing collection of scanpath images obtained from 15 children with ASD was utilized, and a customized heterogeneous dataset was developed by extracting fixation and gaze‐related features using machine lea...

    Fixations, regressions, and results: eye-tracking metrics as real-time signals of cognitive engagement in flipped-class quizzes

    Yuanyuan Wang, Nina Xie & Yujun LiuFrontiers in Education

    Educators need real time evidence of how students process pre class quiz items in flipped courses, not just whether answers are right or wrong. We examined whether two classroom feasible eye tracking metrics—fixation intensity (total dwell time) and regression rate (proportion of backward Saccade Researchs)—provide interpretable, item level signals of cognitive engagement once surface text features are taken into account. Thirty four undergraduates completed 320 analysable attempts on 55 multiple choice items coded by Bloom’s taxonomy while a 60 Hz track...

    Number Line Strategies of Students with Mathematical Learning Difficulties and Students with General Learning Difficulties: Findings Through Eye Tracking

    Anna Lisa Simon, Benjamin Rott & Maike SchindlerEducation Sciences

    In mcountries, the number line (NL) is an important tool in mathematics education to develop an understanding of numbers. However, students may have difficulties using the NL. To provide students showing NL difficulties with appropriate support, more research is needed on how these students interact with NLs. In this study, we investigated how three different groups of students located numbers on an NL: 20 fifth-grade students with general learning difficulties (LD) from a special school, and 60 fifth-grade students with mathematical learning difficultie...

    Exploring Causes of the Graph-as-picture Error in Students’ Graph Interpretation: Insights from an Eye-tracking Study with Ninth Graders

    Aylin Thomaneck, Maike Vollstedt & Maike SchindlerJournal für Mathematik Didaktik

    The graph-as-picture error is prevalent when students are asked to match contextual graphs and realistic images. Previous research has not yet sufficiently revealed how and why this error emerges in students’ approaches. This paper presents an exploratory empirical study analyzing students’ approaches to matching a contextual graph and a realistic image in the racing car context, focusing on the characteristics of approaches that lead to the graph-as-picture error and those that do not. Using eye movement data and verbal utterances from 19 ninth graders,...

    Fast Mapping with Orthographic Support in School-Age Children: Exploring Statistical Patterns

    Christina Reuterskiöld, Emily Margaret Matula & Iris FishmanReading Psychology

    This study explored the possible influence of phonotactic and orthotactic probability on fast mapping in school-age children with and without a developmental disorder. Participants were exposed to pictures of novel objects paired with spoken and written novel words, which varied in phonotactic and orthotactic probability. Fast mapping was examined with gaze behavior (proportion of looking time) and accuracy (picture identification, orthographic identification, picture naming). Participants were highly accurate during picture identification and orthograph...

    Expert-novice differences in mathematics teachers’ noticing: a mobile eye-tracking case study

    Rangmei Li, Nicole B. Kersting & Yiming CaoZDM – Mathematics Education

    Teachers’ professional noticing, a key teaching competency, enables them to address critical moments with tailored strategies, yet research on mathematics teachers’ noticing during instruction remains limited. This case study employs mobile eye-tracking technology and retrospective interviews to examine differences in noticing skills between an expert and a novice mathematics teacher in authentic classroom settings, including their perception, interpretation, and decision-making processes. Both teachers taught two eighth-grade lessons while wearing Tobii...

    The impact of greening interventions in school grounds on social behavior and cognitive performance among primary school children

    Lore Verheyen, Bo H. W. van Engelen, Bjorn Winkens, Kenneth Vanbrabant, Ellen Hannes, Tim S. Nawrot, Robert Malina, Onno C. P. van Schayck & Michelle PlusquinFrontiers in Public Health

    Background: Green spaces have been identified as beneficial for children's mental health, as well as cognitive performance, however, less is known about the role of biodiversity within these environments. Here, we study the impact of greening schoolyards, especially with regard to biodiversity enrichment, on children's behavior, emotion recognition, cognitive performance and mental effort, and attentional bias, compared to observations in control schools.Methods: This study employs an interventional design, including two intervention and two control scho...

    A Screen-based Multimodal Virtual Classroom Interface for Understanding Behavioral Sensory Responses in Autistic Adolescents: A Pilot Study

    Zhiwei Yu, Suzannah Iadarola, Samantha Daley & Zhi ZhengJournal of NeuroEngineering and Rehabilitation

    Autism impacts at least 1 in 100 children worldwide, with about 90% experiencing sensory processing difficulties. Virtual Reality (VR), which can precisely deliver controlled sensory stimuli, has emerged as a promising tool for studying sensory experiences. However, VR systems using a head-mounted display may cause discomfort and exacerbate sensory challenges for autistic children. Screen-based VR could offer a viable alternative, but research on designing multimodal sensory delivery systems that simulate real-life experiences remains limited. As a resul...

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