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  • Open Access


    Detection of Student Engagement in E-Learning Environments Using EfficientnetV2-L Together with RNN-Based Models

    Farhad Mortezapour Shiri1,*, Ehsan Ahmadi2, Mohammadreza Rezaee1, Thinagaran Perumal1

    Journal on Artificial Intelligence, Vol.6, pp. 85-103, 2024, DOI:10.32604/jai.2024.048911

    Abstract Automatic detection of student engagement levels from videos, which is a spatio-temporal classification problem is crucial for enhancing the quality of online education. This paper addresses this challenge by proposing four novel hybrid end-to-end deep learning models designed for the automatic detection of student engagement levels in e-learning videos. The evaluation of these models utilizes the DAiSEE dataset, a public repository capturing student affective states in e-learning scenarios. The initial model integrates EfficientNetV2-L with Gated Recurrent Unit (GRU) and attains an accuracy of 61.45%. Subsequently, the second model combines EfficientNetV2-L with bidirectional GRU (Bi-GRU), yielding More >

  • Open Access


    La diplomation de patient•es partenaires en oncologie : un dispositif soutenant l’engagement du patient•e en oncologie

    Lennize Pereira Paulo1,2,*, Catherine Tourette-Turgis1,2, Marie-Paule Vannier1,3

    Psycho-Oncologie, Vol.18, No.1, pp. 9-15, 2024, DOI:10.32604/po.2023.042981

    Abstract Cet article présente l’histoire et les enjeux de la diplomation des patients en la posant comme un dispositif de soutien de l’engagement des patients et des usagers du système de santé. Un ensemble de lois relatives aux droits des malades et à la qualité du système de santé permettent l’intégration des patients dans le système de santé mais elles se heurtent à la non-préparation des institutions à ce nouveau champ de pratiques. La diplomation des patients nécessite des transformations dans les modes d’accueil et de financement des universités et aussi dans les méthodes pédagogiques qui More >

  • Open Access


    The Relationship between Internet Addiction and Cyberbullying Perpetration: A Moderated Mediation Model of Moral Disengagement and Internet Literacy

    Wan Xiao1,*, Miaoting Cheng2,*

    International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1303-1311, 2023, DOI:10.32604/ijmhp.2023.042976

    Abstract Internet addiction and cyberbullying have emerged as significant global mental health concerns in recent years. Although previous studies have shown a close association between Internet addiction and cyberbullying, the underlying mechanisms connecting these two phenomena remain unclear. Therefore, this study aimed to reveal the mechanisms involved between Internet addiction and cyberbullying perpetration from the perspective of cognition function. This study recruited 976 Chinese youth through online survey, using the short version of Internet Addiction Test (s-IAT), Chinese Cyberbullying Intervention Project Questionnaire (C-CIPQ), Cyberbullying Moral Disengagement Scale (CMDS), and Internet Literacy Questionnaire (ILQ) to investigate the More >

  • Open Access


    Who Benefits More from Physical Exercise? On the Relations between Personality, Physical Exercise, and Well-Being

    Jialing Miao1, Wei Liao2,*, Baoguo Xie3

    International Journal of Mental Health Promotion, Vol.25, No.10, pp. 1147-1157, 2023, DOI:10.32604/ijmhp.2023.030671

    Abstract Although employers believe that encouraging and supporting physical exercise activities by purchasing fitness equipment and building sports venues can improve employees’ well-being, the utilization rate is rather low. Since most of the evidence of the well-being promotion in the workplace concentrated on the perspectives of organizational factors and psychosocial factors and focused on the reduction of the negative affect of well-being, it is still an open question whether physical exercise has benefits on both negative and positive affect of wellbeing and who benefits more from physical exercise. Thus, the purpose of this study is to… More >

  • Open Access


    L’engagement en matière de préservation de la qualité de vie des patients atteints de cancer : l’exemple des RCSF — Rencontres annuelles cancer sexualité et fertilité

    F. Farsi, E. Huyghe, L. Vanlemmens, S. Dolbeault, T. Almont, E. Marx, I. Flandrin, J. Véronique-Baudin, B. Panes-Ruedin, P. Bondil

    Psycho-Oncologie, Vol.17, No.2, pp. 99-104, 2023, DOI:10.3166/pson-2022-0235

    Abstract L’abord systématisé et en routine de la préservation de la vie intime, de la sexualité et de la fertilité n’est pas encore pleinement intégré à la consultation des praticiens et pas de manière significative par les autres intervenants du parcours de soins en cancérologie. On sait pourtant, et de manière de plus en plus documentée, que ce sont des sujets de préoccupation pour les patients et leurs partenaires, qui considèrent, pour leur grande majorité, que leur santé sexuelle et/ou leurs projets parentaux sont des sujets importants. Depuis maintenant plus de dix ans, un groupe d’experts… More >

  • Open Access


    MDNN: Predicting Student Engagement via Gaze Direction and Facial Expression in Collaborative Learning

    Yi Chen1,*, Jin Zhou1, Qianting Gao2, Jing Gao1, Wei Zhang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 381-401, 2023, DOI:10.32604/cmes.2023.023234

    Abstract Prediction of students’ engagement in a Collaborative Learning setting is essential to improve the quality of learning. Collaborative learning is a strategy of learning through groups or teams. When cooperative learning behavior occurs, each student in the group should participate in teaching activities. Researchers showed that students who are actively involved in a class gain more. Gaze behavior and facial expression are important nonverbal indicators to reveal engagement in collaborative learning environments. Previous studies require the wearing of sensor devices or eye tracker devices, which have cost barriers and technical interference for daily teaching practice. More >

  • Open Access


    The Impact of Spiritual Leadership on Employee’s Work Engagement–A Study Based on the Mediating Effect of Goal Self-Concordance and Self-Efficacy

    Lei Chen1, Ting Wen2,*, Jigan Wang1, Hong Gao1

    International Journal of Mental Health Promotion, Vol.24, No.1, pp. 69-84, 2022, DOI:10.32604/ijmhp.2022.018932

    Abstract The average stress of people in China’s workplace is reaching the peak in recent two years. To improve employee’s positive psychological factors, Spiritual leadership has a good performance in this regard. Based on the mediating effect of goal self-concordance and self-efficacy, this paper further studies the impact of spiritual leadership on employee’s work engagement. Through the empirical study, the following conclusions are drawn: (1) Spiritual leadership significantly positively affects the employee’s work engagement. (2) Spiritual leadership has a significant positive effect on goal self-concordance and self-efficacy. (3) Goal self-concordance and self-efficacy have significant positive effects More >

  • Open Access


    Developing Engagement in the Learning Management System Supported by Learning Analytics

    Suraya Hamid1, Shahrul Nizam Ismail1, Muzaffar Hamzah2,*, Asad W. Malik3

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 335-350, 2022, DOI:10.32604/csse.2022.021927

    Abstract Learning analytics is an emerging technique of analysing student participation and engagement. The recent COVID-19 pandemic has significantly increased the role of learning management systems (LMSs). LMSs previously only complemented face-to-face teaching, something which has not been possible between 2019 to 2020. To date, the existing body of literature on LMSs has not analysed learning in the context of the pandemic, where an LMS serves as the only interface between students and instructors. Consequently, productive results will remain elusive if the key factors that contribute towards engaging students in learning are not first identified. Therefore, More >

  • Open Access


    Engagement Detection Based on Analyzing Micro Body Gestures Using 3D CNN

    Shoroog Khenkar1,*, Salma Kammoun Jarraya1,2

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2655-2677, 2022, DOI:10.32604/cmc.2022.019152

    Abstract This paper proposes a novel, efficient and affordable approach to detect the students’ engagement levels in an e-learning environment by using webcams. Our method analyzes spatiotemporal features of e-learners’ micro body gestures, which will be mapped to emotions and appropriate engagement states. The proposed engagement detection model uses a three-dimensional convolutional neural network to analyze both temporal and spatial information across video frames. We follow a transfer learning approach by using the C3D model that was trained on the Sports-1M dataset. The adopted C3D model was used based on two different approaches; as a feature More >

  • Open Access


    Behaviours of Multi-Stakeholders under China’s Renewable Portfolio Standards: A Game Theory-Based Analysis

    Bing Wang1,2, Kailei Deng1, Liting He1, Zhenming Sun1,*

    Energy Engineering, Vol.118, No.5, pp. 1333-1351, 2021, DOI:10.32604/EE.2021.014258

    Abstract China has implemented both quantitative and policy incentives for renewable energy development since 2019 and is currently in the policy transition stage. The implementation of renewable portfolio standards (RPSs) is difficult due to the interests of multiple stakeholders, including power generation enterprises, power grid companies, power users, local governments, and the central government. Based on China’s RPS policy and power system reform documents, this research sorted out the core game decision problems of China’s renewable energy industry and established a conceptual game decision model of the renewable energy industry from the perspective of local governments,… More >

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