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A combined model of emotional intelligence and privacy orientation explains attitude and intention variation more effectively than models using each factor alone. The findings extend understanding of mobile learning, privacy, and emotional intelligence constructs in non-Western transitional economies.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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Technology-Based Learning  \nConfidentialité et Intelligence émotionnelle dans l'apprentissage basé sur la technologie  \nYuliya Frolova, KIMEP University, Kazakhstan  \nAbstract  \nThis study explores the influence of emotional intelligence and privacy orientation on attitudesand intentions to learn with mobile technologies. Data were collected from 272 respondents in Kazakhstan, a country with a transitioning economy. The findings reveal that both emotional intelligence and privacy orientation positively affect attitudes and intentions, except for the dimension of concern about one’s own informational privacy. Additionally, a model incorporating both emotional intelligence and privacy orientation explains variations in attitudes and intentions more effectively than models with either factor alone. This research contributes to the understanding of the multidimensional constructs of mobile learning, privacy, and emotional intelligence in non-Western contexts, providing valuable insights for technology adoption in transitional economies.  \nKeywords: emotional intelligence, Kazakhstan, mobile technologies, privacy orientation, technology adoption  \nRésumé  \nCette étude explore l'influence de l'intelligence émotionnelle et de l'orientation vers la vie privée sur les attitudes et les intentions d'apprendre avec les technologies mobiles. Des données ont été recueillies auprès de 272 répondants au Kazakhstan, un pays dont l’économie est en transition. Les résultats révèlent que l'intelligence émotionnelle et l'orientation vers la vie privée affectent positivement les attitudes et les intentions, sauf pour la dimension relative à la protection de la vie privée personnelle. De plus, un modèle intégrant l'intelligence émotionnelle et l'orientation vers la vie privée explique mieux les variations dans les attitudes et les intentions que les modèles les considérant séparément. Cette recherche contribue à la compréhension des construits multidimensionnels de l'apprentissage mobile, dela vie privée et de l'intelligence émotionnelle dans des contextes non occidentaux, offrant des perspectives pertinentes pour l'adoption technologique dans des économies en transition.  \nCJLT/RCAT Vol. 51 (1)  \nMots-clés: adoption technologique, intelligence émotionnelle, Kazakhstan, orientation vers la vie privée, technologies mobiles  \nIntroduction  \nThis study explores the relationships between the attitude and intention to learn with mobile technologies, privacy orientation, and emotional intelligence. In the current digital era, it is essential to comprehend attitudes and intents regarding technology because these elements have a big impact on technology adoption and usage patterns (Svenningsson et al., 2022). Privacy issues, which are becoming increasingly important as digital technologies spread, affect how people interact with technology and their willingness to adopt new technologies (Jeon & Lee, 2022; Sivakumar et al., 2024; Zhang & Zhang, 2024). Emotional intelligence, which influences how people manage their emotions, interact with others, and cope with stress, can also affect their attitudes toward technology and its use (Abu-Shanab & AbuShanab, 2022) .  \nBy examining the relationships between these concepts, this study aims to provide a holistic understanding of the factors influencing technology adoption and privacy behaviour. Such findings can form the basis for educational strategies, policy development, and activities to improve digital literacy and technology adoption while addressing privacy concerns. Integrating emotional intelligence with technology adoption and privacy fills a research gap in the literature, offering a more complete understanding of user behaviour (Audrin & Audrin, 2024). As digital technologies are increasingly being introduced into everyday life, it is essential to understand the psychological and emotional factors influencing the","cbCaiatcDremfPKD","https://ap.wps.com/l/cbCaiatcDremfPKD","pdf",397337,23,"English","# Abstract\n# Introduction\n# Literature Review\n## Privacy Orientation and Attitude and Intention to Learn with Mobile Technologies","[{\"question\":\"How do emotional intelligence and privacy orientation affect learning intentions with mobile technologies?\",\"answer\":\"Both emotional intelligence and privacy orientation positively affect attitudes and intentions to learn with mobile technologies in the study, indicating stronger willingness to engage when these factors are higher.\"},{\"question\":\"What exception is noted regarding privacy orientation?\",\"answer\":\"The results show an exception for the dimension related to concern about one’s own informational privacy.\"},{\"question\":\"Why is combining emotional intelligence and privacy orientation important?\",\"answer\":\"The combined model explains variations in attitudes and intentions better than models that consider each factor separately, offering a more complete understanding of user behavior.\"}]","Privacy and Emotional Intelligence in Technology-Based Learning - Volume 51 - Winter / Hiver 2025 | PDF",1792084308,58]