Using Eye Tracking Technology to Analyse Cognitive Load in Multichannel Activities in University Students

Manzanares, María Consuelo Sáiz; Antón, Luis Jorge Martín; González-Díez, Irene; Martín, Miguel Ángel Carbonero

doi:10.1080/10447318.2023.2188532

Cited by 14 publications

(6 citation statements)

References 53 publications

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“…This approach is justified based on the need to capture the dynamics of student participation in online environments without interfering with their normal learning activities. Additionally, an automated tracking system allows data to be collected from multiple cohorts of students over various semesters, providing us with a representative sample and longitudinal data for trend analysis [26], [27].…”

Section: Methodsmentioning

confidence: 99%

Application of Artificial Intelligence in Online Education: Influence of Student Participation on Academic Retention in Virtual Courses

Villegas-Ch,

García-Ortiz,

Sánchez-Viteri

2024

IEEE Access

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The accelerated growth of online education in recent decades has made it a trendy educational option. Despite this, significant challenges persist regarding student retention and academic performance in these courses. Addressing these challenges requires active student participation, although understanding it effectively is complex. This study focuses on student engagement in online education environments, exploring its relationship with retention and academic performance. Data was collected across multiple semesters to analyze student engagement in online educational environments. Participation patterns, temporal trends, and crucial factors affecting participation were examined using exploratory analysis and forecasting models, such as ARIMA and Prophet. The results revealed several patterns, including an initial increase in activity at the course's beginning and a gradual decrease over time. Factors such as course length and peer interaction influenced participation significantly. These findings underscore the importance of developing specific pedagogical strategies for online education, simultaneously addressing students' unique challenges in this environment. In summary, this study contributes to knowledge in online education by providing essential information to understand and improve student engagement.INDEX TERMS Student participation, academic retention, online courses.

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Section: Methodsmentioning

confidence: 99%

Application of Artificial Intelligence in Online Education: Influence of Student Participation on Academic Retention in Virtual Courses

Villegas-Ch,

García-Ortiz,

Sánchez-Viteri

2024

IEEE Access

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“…Furthermore, it is the most widely used technique for automated attention monitoring [7]. Eye tracking offers opportunities to better understand the role of visual processes in educational practice [10,13,14]. Applying it in virtual educational environments improves task performance and learning [9,10,14] and produces engagement [2].…”

Section: Introductionmentioning

confidence: 99%

“…Eye tracking offers opportunities to better understand the role of visual processes in educational practice [10,13,14]. Applying it in virtual educational environments improves task performance and learning [9,10,14] and produces engagement [2]. In addition, eye tracking has been classified as a relatively unintrusive method [6].…”

Section: Introductionmentioning

confidence: 99%

“…Despite that, one of the biggest disadvantages of these techniques is the huge amount of data that they collect, which must be processed and analyzed [15,21,24,27,30,34]. That means that supervised (prediction and classification) and unsupervised (clustering) machine learning techniques must be used for processing [14,23,35], and analysis requires the use of data fusion techniques [35,36].…”

Section: Introductionmentioning

confidence: 99%

“…Their advantages include increased reliability of the data obtained on information processing, learning strategies, and student behavior during the performance of a given activity [25,30,31]. This technology is also a great opportunity to provide individualized solutions for each student [2,9,13,14,33].…”

Section: Introductionmentioning

confidence: 99%

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The Use of Integrated Multichannel Records in Learning Studies in Higher Education: A Systematic Review of the Last 10 Years

González-Díez,

Varela,

Sáiz-Manzanares

2024

Computers

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Neurophysiological measures have been used in the field of education to improve our knowledge about the cognitive processes underlying learning. Furthermore, the combined use of different neuropsychological measures has deepened our understanding of these processes. The main objective of this systematic review is to provide a comprehensive picture of the use of integrated multichannel records in higher education. The bibliographic sources for the review were Web of Science, PsycINFO, Scopus, and Psicodoc databases. After a screening process by two independent reviewers, 10 articles were included according to prespecified inclusion criteria. In general, integrated recording of eye tracking and electroencephalograms were the most commonly used metrics, followed by integrated recording of eye tracking and electrodermal activity. Cognitive load was the most widely investigated learning-related cognitive process using integrated multichannel records. To date, most research has focused only on one neurophysiological measure. Furthermore, to our knowledge, no study has systematically investigated the use of integrated multichannel records in higher education. This systematic review provides a comprehensive picture of the current use of integrated multichannel records in higher education. Its findings may help design innovative educational programs, particularly in the online context. The findings provide a basis for future research and decision making regarding the use of integrated multichannel records in higher education.

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Eye-Tracking Technology Applied to the Teaching of University Students in Health Sciences

Sáiz-Manzanares,

González-Díez,

Varela Vázquez

2023

Lecture Notes in Networks and Systems

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Using Eye Tracking Technology to Analyse Cognitive Load in Multichannel Activities in University Students

Cited by 14 publications

References 53 publications

Application of Artificial Intelligence in Online Education: Influence of Student Participation on Academic Retention in Virtual Courses

Application of Artificial Intelligence in Online Education: Influence of Student Participation on Academic Retention in Virtual Courses

The Use of Integrated Multichannel Records in Learning Studies in Higher Education: A Systematic Review of the Last 10 Years

Eye-Tracking Technology Applied to the Teaching of University Students in Health Sciences

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