Virtual Reality in Education: A Comparative Social Media Data and Sentiment Analysis Study

Λαμπρόπουλος, Γεώργιος; Keramopoulos, Euclid

doi:10.3991/ijes.v10i03.34057

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Sentiment analysis applications have already been implemented in a variety of sectors. Nevertheless, one of the domains in which these systems has recently been gaining ground is education [9,10,11,12,13].…”

Section: Introductionmentioning

confidence: 99%

Using Sentiment Analysis to Explore Student Feedback: A Lexical Approach

Faizi

2023

Int. J. Emerg. Technol. Learn.

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Given the increasing abundance of online courses over the last couple of years, new forms of student feedback, which are less frequently used by teachers, have been generated in massive amounts. Nonetheless, extracting and processing this student generated content manually is costly and time consuming. In this respect, our objective in this paper is to propose a lexical-based approach that can predict the underlying sentiments of each student review, thus, enabling teachers to assess to what extent are students satisfied with the online learning resources and teaching practices. To enhance the performance of the proposed approach, a new education sentiment lexicon was built and incorporated into the model. After its implementation on a dataset that was extracted from the Web, this sentiment analysis lexical approach has proven to correctly predict the sentiment polarities of the great majority (i.e. 86.45%) of student feedback.

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Section: Introductionmentioning

confidence: 99%

Using Sentiment Analysis to Explore Student Feedback: A Lexical Approach

Faizi

2023

Int. J. Emerg. Technol. Learn.

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Evaluating the Outcome of Collaborative VR Mind Mapping Sessions with Sentiment Analysis and Emotional Intelligence

Kozachek,

Yaqin,

Prasad

et al. 2023

Lecture Notes in Computer Science

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The Influence of Realism on the Sense of Presence in Virtual Reality: Neurophysiological Insights Using EEG

Safikhani,

Gattringer,

Schmied

et al. 2024

MTI

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One of the most crucial aspects of the user experience in virtual reality (VR) is the sense of presence. To evaluate this, both subjective and objective methods can be employed. While subjective methods are easy to implement and interpret, they may not fully capture user feedback, and the results can sometimes lack consistency. In contrast, using objective methods, such as electroencephalography (EEG), can provide more reliable insights. To investigate the influence of realism on the sense of presence, we conducted an EEG study with 21 participants who experienced two VR environments—one realistic and one non-realistic. During the study, we continuously measured their brain activity using an EEG device. Our findings showed that alteration in the level of realism in an environment can be detected through changes in brain activity. Notably, we observed that users take longer to adapt to a non-realistic environment when transitioning from a realistic scene, compared to the reverse. Although our study has limitations, such as the total number of participants, we gained valuable initial insights into how realism may influence brain activity. These findings suggest that higher realism may lead to reduced cognitive load, increased attention, improved decision-making, and suppression of irrelevant information.

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Virtual Reality in Education: A Comparative Social Media Data and Sentiment Analysis Study

Cited by 3 publications

References 20 publications

Using Sentiment Analysis to Explore Student Feedback: A Lexical Approach

Using Sentiment Analysis to Explore Student Feedback: A Lexical Approach

Evaluating the Outcome of Collaborative VR Mind Mapping Sessions with Sentiment Analysis and Emotional Intelligence

The Influence of Realism on the Sense of Presence in Virtual Reality: Neurophysiological Insights Using EEG

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