Maoinithe ag an Aontas Eorpach. Mar sin féin is tuairimí agus tuairimí an údair amháin nó na n-údar amháin iad na tuairimí agus na tuairimí a nochtar agus ní gá go léiríonn siad tuairimí an Aontais Eorpaigh nó na Gníomhaireachta Eorpaí Feidhmiúcháin Oideachais agus Cultúir (EACEA). Ní fhéadfar an tAontas Eorpach ná EACEA a chur i gcuntas astu. Uimhir an tionscadail: 2023-1-NL01-KA220-HED-000155675. - Chatbot-Human Interaction Satisfaction Model (CHISM) to assess linguistic elements, design, and user experience. - Qualitative analysis of student reports for insights on AIC benefits and drawbacks. Lessons learned AIC potential: - Can offer immediate feedback and a supportive learning environment. - Need improvement in speech technologies (recognition and synthesis). - Must better adapt to different learner proficiency levels. Design significance: User-friendly interfaces, multimedia, and the potential of emerging tech (AR/VR) are crucial for engagement. CHISM's value: The model provides a comprehensive framework for AIC assessment within language learning contexts. Implications for practice Personalisation is key: AICs need to tailor experiences more effectively to sustain learner interest. Cás-staidéar 34: Eispéiris in úsáid córas oiriúnaitheach cliste chun feidhmíocht foghlaimeoirí ar líne a fheabhsú: cás-staidéar ar chúrsaí Eacnamaíochta agus Gnó General information Reference/Source: Guerrero-Roldán, A. E., Rodríguez-González, M. E., Bañeres, D., Elasri-Ejjaberi, A., & Cortadas, P. (2021). Experiences in the use of an adaptive intelligent system to enhance online learners’ performance: a case study in Economics and Business courses. International Journal of Educational Technology in Higher Education, 18(1). https://doi.org/10.1186/s41239-021-00271-0 Institution: Universitat Oberta de Catalunya, Spain (fully online, public institution). Course/subject: Two first-year courses in the BSc of Economics and Business program: Introduction to Enterprise and Markets and Behavior Aim: Researchers are developing an Early Warning System (EWS) called the Learning Intelligent System (LIS) to address the issue of student dropout and improve overall performance in online courses. Target group: Undergraduate students enrolled in the specified courses.
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