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Engaging or Distracting: Children's Tablet Computer Use in Education

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Communications studies and psychology offer analytical and methodological tools that when combined have the potential to bring novel perspectives on human interaction with technologies. In this study of children using simple and complex mathematics applications on tablet computers, cognitive load theory is used to answer the question: how successful are tablet computer educational applications at directing children's attention towards intrinsic and germane content? An eye tracker collected gaze data and cognitive tasks were performed to assess memory and attention. The results show that simple applications are able to direct a child's attention to intrinsic and germane content, regardless of the child's cognitive ability. Children assessed as high executive functioning found the germane content of the complex applications helpful whereas children assessed as lower executive functioning did not take advantage of the germane content. Claims that the cognitive structure of the individual is intimately linked to the forms or systems of communication used were partially supported. The research showed that tablet computers and their applications offer a learning experience that appears to be inherently highly interactive—thereby introducing challenges to the cognitive load of children as users.
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... Mathematics education (5) Lin and Lin (2014) Investigation of eye movements during geometry problem-solving that involved simultaneously viewing and writing processes and the switching in between McEwen and Dubé (2015) Effects of using mobile simple vs. complex mathematics applications on cognitive engagement Shayan et al. (2015) Attentional anchor coordination of eye movements in a task during mathematics proportional reasoning in a mobile-assisted learning task Abrahamson et al. (2016) Attentional anchor coordination of eye movements in a task during mathematics proportional reasoning in a mobile-assisted learning task Investigation of eye movements during geometry problem-solving that involved simultaneously viewing and writing processes and the switching in between Special education (3) Schneps et al. (2013) Comparisons of mobile media and their setup in oculomotor behaviours during reading in dyslexia Ikeshita et al. (2018) Relationships between readability and text highlighting in a mobile-assisted reading task with audio support Paletta et al. (2018) Playful multimodal training using a tablet PC with eye tracking device for executive functions-based decision support ...
... This suggests that the content in those areas holds greater importance and significance for learners, thereby suggesting increased effort or depth of processing. For example, McEwen and Dubé (2015) found that even young learners, irrespective of their cognitive abilities, directed their attentional focus to intrinsic and germane content in simple mathematics applications as reflected by longer fixation durations and increased fixation counts. ...
... Eye tracking technology also contributes to instructional design and strategies aimed at guiding students' attention to key learning content. McEwen and Dubé (2015) investigated the effectiveness of mobile applications, whether ...
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Background Recent research has demonstrated the potential of mobile‐assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective This systematic review study aims to synthesise the relevant work to reflect the current state of eye tracking use in mobile‐assisted learning research over the past 20 years. Method Fifty‐two articles were identified using the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis approach, and analysed based on the technology‐based learning model in five key dimensions: publication information, research domains, technologies, methods, and eye tracking‐related subdimensions. Results and Discussion The findings indicate a growth in eye tracking studies from 2004 to 2023, with visual and cognitive science and educational technology being the most studied domains. Tablets were the most utilised medium, along with a usage shift towards tracking glasses. Experiment durations, participant numbers, and education levels varied across studies, but reading tasks were common. Questionnaires and tests were the main additional data collection methods, and fixation was the most frequently used category of eye tracking measures. Most studies provided no information on their defined interest areas, from which they extracted eye tracking data, and employed parametric or non‐parametric procedures to compare group means for data analysis. The studies primarily explored task performance, learning strategies, and learning tools, while multimedia learning, linguistic processing, and emotion received limited attention. Implications The systematic review highlights research limitations of current practices for attention and suggests potential avenues for future eye tracking efforts in mobile‐assisted learning.
... According to Blignaut and Wium, some African and Caucasian people have narrow clefts in their eyes, but not all Asians do. However, only eight studies have stated the ethnic details of the participants, making it difficult to assess the quality of eye-tracking in terms of ethnicity [4,7,37,38,54,57,63,87]. ...
... Calibration method [44] 13-point calibration [63] 3-point calibration [57] 4-point calibration [67] 5-point calibration [20,100] 9-point calibration [98] Six gesture calibration Therefore, it is vital to consider the eye-tracking accuracy while wearing glasses or contact lenses. ...
... Also, the number of calibration points will depend on the size of the screen. A few other studies have also used point-to-point calibration such as 3-point calibration [63], 4-point calibration [57], 5-point calibration [67], and 9-point calibration [20,100]. ...
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Eye-tracking provides invaluable insight into the cognitive activities underlying a wide range of human behaviours. Identifying cognitive activities provide valuable perceptions of human learning patterns and signs of cognitive diseases like Alzheimer’s, Parkinson’s, autism. Also, mobile devices have changed the way that we experience daily life and become a pervasive part. This systematic review provides a detailed analysis of mobile device eye-tracking technology reported in 36 studies published in high ranked scientific journals from 2010 to 2020 (September), along with several reports from grey literature. The review provides in-depth analysis on algorithms, additional apparatus, calibration methods, computational systems, and metrics applied to measure the performance of the proposed solutions. Also, the review presents a comprehensive classification of mobile device eye-tracking applications used across various domains such as healthcare, education, road safety, news and human authentication. We have outlined the shortcomings identified in the literature and the limitations of the current mobile device eye-tracking technologies, such as using the front-facing mobile camera. Further, we have proposed an edge computing driven eye tracking solution to achieve the real-time eye tracking experience. Based on the findings, the paper outlines various research gaps and future opportunities that are expected to be of significant value for improving the work in the eye-tracking domain.
... prominent part of pedagogical practice in schools, which has both benefited and challenged teachers and students (McEwen & Dube, 2015;Otterborn et al., 2019). However, the availability of digital tools does not guarantee good learning outcomes (Spiezia, 2010;Swedish National Agency for Education, 2015). ...
... Considering the insights of McEwen and Dube (2015), who highlighted tablets as effective learning tools for some pupils, it is imperative to delve deeper into the disparities that exist. Specifically, understanding why tablets may not be as beneficial for certain pupils, often those considered academically weaker, becomes paramount (McEwen & Dube, 2015). Future research should focus on unraveling the potential stratification of learning experiences within classrooms and offering insights into the diverse outcomes of tablet usage among pupils. ...
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As educational institutions navigate the complexities of digital transformation, understanding the factors that drive successful technology integration is essential. The implementation of digital tablets in schools is becoming increasingly common. Through the application of the digital maturity framework, a Structural Equation Modeling (SEM) analysis was conducted to construct a digital maturity model for the implementation of digital tablets. The results identified how different factors (i.e. technical support, competence, leadership, and organizational conditions) influence digital learning resources and goal facilitation. The study also considered demographic variables, such as age and gender, revealing nuanced technology adoption and use patterns. The analysis highlighted the significance of factors such as competence and organizational conditions. Furthermore, an interesting finding was that leadership did not have a significant effect on the implementation of tablets. These findings challenge preconceived notions about the centrality of leadership in digital integration, and suggest the need for a reevaluation of the roles and support mechanisms that facilitate the advancement of digital learning environments.
... Tablets introduce challenges to the cognitive load of children; they have been found to offer a highly interactive learning experience (McEwen & Dubé, 2015). As acknowledged by OECD (2019), "active interaction with touchscreens can generate dynamic stimulation, and, if used appropriately, may be as engaging and cognitively stimulating as traditional toys or books" (p. ...
... Due to the increased usage of smart mobile devices (i.e., smart phones or tablets), researchers have developed many mobile applications (mobile apps) in order to use them for educating children of different ages (Donner, 2008). Further, researchers have started studying the influence of these devices on children from the social interaction and learning perspectives (e.g.: Jian et al., 2015;Lee and Wei, 2013;McEwen and Dubé, 2015). These mobile devices and apps, targeted at educating children, advance the emerging field of Child-Computer Interaction, which involves the design, development, and evaluation of interactive computer applications or systems (Hourcade, 2015) to be used by children. ...
... While several studies found that the adoption of the tablet PC in education fosters students' learning (e.g., Beal & Rosenblum, 2018;Butcher, 2016;H. Y. Chang et al., 2013;Couse & Chen, 2010;Görhan, 2014;Henderson et al., 2013;Van De Bogart & Wichadee, 2016), other studies concluded that it introduces challenges to students' learning and teachers' instruction (e.g., Alenezi, 2018;Duran & Aytaç, 2016;McEwen & Dubé, 2015;Montrieux et al., 2015;Venkatesh et al., 2003). These findings, however, are not generalizable across participants' contexts (Pirhonen & Rousi, 2018). ...
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