Transfer Learning Approach for Analyzing Attentiveness of Students in an Online Classroom Environment with Emotion Detection

Bahel, Vedant

doi:10.20944/preprints202105.0303.v1

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Within the case of educational purposes, Virtual classrooms stimulate the environment of a classroom or a laboratory. In [21], the authors proposed a Transfer learning approach to analyze the engagement of the students in an online classroom environment with emotion detection. The recognition of VR during this field is attributed to the attractiveness of its use in preparing engineering students for real-world industrial situations, in addition allowing them to perform early in-design decisions in a cost-effective manner [5].…”

Section: Literature Reviewmentioning

confidence: 99%

Edu VR: Design and Implementation of Virtual Classroom Environment in VR for Remote Learning

Yk¹

2021

Preprint

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Due to the unanticipated, forced migration of classroom activities to a fully remote format because of the coronavirus pandemic, there is a critical need for progress in the online education system. Not only that, but online education is the way of the future, and its infrastructure must be enhanced for teaching and learning to be effective. Engaging the students and enhancing their focus is one of the major concerns in the current video calling-based system. In this research, we propose a VR and AR-based virtual classroom environment system called "Edu VR" which encourages students to learn with a high level of involvement and attentiveness. We have divided the system into 2 distinct categories. one amongst which incorporates the virtual reality classroom, wherever the students can have a similar feel of actual school with peer-to-peer-based interactions and student-to-teacher interactions with Unity3D. We are able to conjointly deploy AR models with Vuforia, which permits the teachers to take classes more efficiently with student’s engagement. The other category involves the AI-based classroom assessment system, which enables teachers to produce assessments, which in turn are proctored by Artificial Intelligence. The results are automatically sent to the student within a short period, with the assistance of text similarity analysis for evaluating the answer scripts with Machine learning. This approach solves the drawbacks of video call-based systems with enhanced focus and engagement.

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Section: Literature Reviewmentioning

confidence: 99%

Edu VR: Design and Implementation of Virtual Classroom Environment in VR for Remote Learning

Yk¹

2021

Preprint

Self Cite

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“…More precisely, our study focuses on the impact of a haptic device-based learning technology on students' emotions and attentiveness on their writing performance of Arabic letters. Furthermore, the continuous detection of emotion states through emotion detection models (Anagnostopoulou et al, 2021;K V & Bahel, 2021;Mukhopadhyay et al, 2020) and through eye blink detection model (Soukupová & Cech, 2016) as objective metrics, try to cope with some of the methodological problems such as self-reporting (Schrader & Kalyuga, 2020).…”

Section: Introductionmentioning

confidence: 99%

A study of children emotion and their performance while handwriting Arabic characters using a haptic device

et al. 2022

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Emotion and focus of children during handwriting are essential for language learning. Handwriting for young children is challenging because it needs deep motivation and willingness to complete the task regardless of its difficulty. Recently, emerged haptic guidance systems have a good potential to offer children a better sense of engagement to keep their interests awake. Yet, handwriting in 3D is more challenging for children due to many reasons including demotivation, out of focus, and visuomotor coordination difficulties. In this paper, we study the effectiveness of a haptic device in analyzing schoolchildren emotion, attentiveness and handwriting performance of Arabic letters. We conducted the experiments for a period of four weeks with an immersive environment where the subjects practiced writing in VR environment using a haptic device-controlled stylus. We assessed the childrens’ emotions to get insights into their engagement during such hard learning environment. We found that our approach improved the participants’ fine-motor skills and handwriting quality. However, our analysis revealed that such task was effective on detecting emotions (angry/neutral) only as a negative/positive contributor of performance. Overall, the obtained findings can well contribute to the understanding of the relationship between students’ emotions and other variables in an attempt to support the development of adaptive learning technologies.

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Identification of Learners' Emotions in a Learning Environment Using Naïve Bayes Algorithm and Evaluation of Academic Achivement With Random Forest Al

Angeline¹,

Ramasubramanian²,

James³

et al. 2022

International Journal of Information Retrieval Research

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Emotions undergone unusual stages all through pandemic situation creating a traumatic in the minds of learners that extirpate the growth of a learner. The main objective of the proposed work is to identify the face emotions of a learner in the learning environment that helps to estimate the attention of learners during lectures in the learning environment. The identification of facial emotions is performed using Naïve Bayes algorithm. Based on the emotional records, the academic achievement is analyzed with random forest algorithm. The findings of the research are that the attention of the learners in the learning environment with positive emotions produces good academic results.

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Transfer Learning Approach for Analyzing Attentiveness of Students in an Online Classroom Environment with Emotion Detection

Cited by 3 publications

References 18 publications

Edu VR: Design and Implementation of Virtual Classroom Environment in VR for Remote Learning

Edu VR: Design and Implementation of Virtual Classroom Environment in VR for Remote Learning

A study of children emotion and their performance while handwriting Arabic characters using a haptic device

Identification of Learners' Emotions in a Learning Environment Using Naïve Bayes Algorithm and Evaluation of Academic Achivement With Random Forest Al

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