Doctor Honoris Causa UA – Francesc Michavila
Francesc Michavila Pitarch
Doctor Honoris Causa por la Universidad de Alicante
Padrino: Faraón Llorens Largo
Propuesto por: Escuela Politécnica Superior
Fecha: 11 de julio de 2024
Lugar: Paraninfo de la Universidad de Alicante
Hora: 11:30 h
Hoy ha sido uno de los días más emotivos de mi trayectoria profesional en la Universidad de Alicante, con el nombramiento de Doctor Honoris Causa a Francesc Michavila, del que he tenido el privilegio de hacer la laudatio.
“És per a mi un enorme honor pronunciar la laudatio del professor Francesc Michavila Pitarch, per la profunda admiració que sent pel seu treball i trajectòria professional al servei del sistema universitari i, per damunt de tot, per la seua tremenda qualitat humana.
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Pues mi elevator pitch, es decir, la idea fundamental en un minuto para persuadirles sobre la pertinencia de nombrar doctor honoris causa por la Universidad de Alicante al profesor Francisco Michavila, es el título de su penúltimo libro, Pasión por la educación. En él califica a la docencia como el oficio más hermoso que existe, que impregna de espíritu crítico los conocimientos y habilidades que transmiten, en oposición a la simple instrucción y pasividad.
Esa pasión por la educación, por la universidad, que siente el profesor Michavila ha ido impregnando y calando en todos y cada uno de los que hemos tenido el privilegio de colaborar con él.
Pero la palabra concluir también tiene otra acepción: “Deducir algo después de haber considerado sus circunstancias”. Y a este segundo significado es al que apelo ahora.
Así pues, considerados y expuestos todos estos hechos, dignísimas autoridades y claustrales, solicito con toda consideración y encarecidamente ruego que se otorgue y confiera al Dr. Francisco Michavila Pitarch el supremo grado de Doctor honoris causa por la Universidad de Alicante.”
Fotos:
Todas las fotos: https://audiovisual.ua.es/fotoweb/archives/5011-Universidad-de-Alicante-2024/?q=honoris%20causa%20Pedro%20Castro%20y%20Francisco%20Michavila
Tools to Support the Design of Network-Structured Courses Assisted by AI
Tools to Support the Design of Network-Structured Courses Assisted by AI
Juan-Luis López-Javaloyes, Alberto Real-Fernández, Javier García-Sigüenza, Faraón Llorens-Largo, & Rafael Molina-Carmona
26th International Conference on Human-Computer Interaction (HCII 2024)
Washington DC, USA
29 June – 4 July 2024
11th International Conference on Learning and Collaboration Technologies (LCT 2024).
Lecture Notes in Computer Science book series (LNCS,volume 14724) (https://link.springer.com/chapter/10.1007/978-3-031-61691-4)
https://link.springer.com/chapter/10.1007/978-3-031-61672-3_4
https://doi.org/10.1007/978-3-031-61672-3_4
Abstract
The integration of Information Technologies into education has lately focused on implementing learning systems to enhance the educational experience through innovative teaching methodologies. The rise of Artificial Intelligence has enabled the development of advanced strategies and algorithms, catering to individual learning styles. However, implementing these innovative approaches requires teachers to learn during the design and structuring of course content. As an example of this we have Khipulearn, a learning platform based on Customised Adaptive Learning Model (CALM), that offers a personalized educational experience. It allows the teachers to structure knowledge into interconnected competences, forming a competence graph for learners to navigate. The platform also employs an AI algorithm to select activities based on learners’ characteristics and needs. We propose two tools for teachers to optimize course design on Khipulearn. The first tool, a shortest path viewer, helps identify critical competences, providing control over essential knowledge of the course. The second tool visualizes the number of activities required for each competence, aiding in improving the efficiency on an adaptive activity selection. These tools aim to streamline the design process, ensuring teachers can leverage CALM’s adaptability and personalization principles without hindrance on the Khipulearn platform.
Keywords
learning design · AI tools · graph structure
Cite this paper as:
López-Javaloyes, JL., Real-Fernández, A., García-Sigüenza, J., Llorens-Largo, F., Molina-Carmona, R. (2024). Tools to Support the Design of Network-Structured Courses Assisted by AI. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2024. Lecture Notes in Computer Science, vol 14722. Springer, Cham. https://doi.org/10.1007/978-3-031-61672-3_4
Evolution of the Adoption of Generative AI Among Spanish Engineering Students
Evolution of the Adoption of Generative AI Among Spanish Engineering Students
Faraón Llorens-Largo, Rafael Molina-Carmona, Alberto Real-Fernández, & Sergio Arjona-Giner
26th International Conference on Human-Computer Interaction (HCII 2024)
Washington DC, USA
29 June – 4 July 2024
11th International Conference on Learning and Collaboration Technologies (LCT 2024).
Lecture Notes in Computer Science book series (LNCS,volume 14724) (https://link.springer.com/chapter/10.1007/978-3-031-61691-4)
https://link.springer.com/chapter/10.1007/978-3-031-61691-4_20
https://doi.org/10.1007/978-3-031-61691-4_20
Abstract
The irruption of ChatGPT has led to a technological change that could affect all sectors, concretely education. University students are facing this change, and the adoption of generative AI will be key to both their learning and job performance. This paper aims to study the adoption and evolution of generative AI among engineering students by analysing two surveys conducted in 2022 and 2023. The results show that engineering students are mostly aware and they are using generative AI tools. On the other hand, it has been studied whether gender can influence their adoption, and the results do not indicate significant changes. Regarding the evolution of the adoption of generative AI, a great change is shown, since it is being more used in all fields, also in education. This change indicates the attitude of engineering students to explore and take advantage of innovative tools, which can have a current and future impact on their learning and development.
Keywords
Generative AI · Technology Adoption · ChatGPT
Cite this paper as:
Llorens-Largo, F., Molina-Carmona, R., Real-Fernández, A., Arjona-Giner, S. (2024). Evolution of the Adoption of Generative AI Among Spanish Engineering Students. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2024. Lecture Notes in Computer Science, vol 14724. Springer, Cham. https://doi.org/10.1007/978-3-031-61691-4_20