Conferencia
Permanent URI for this collectionhttps://hdl.handle.net/11285/636053
Presentación o disertación realizada dentro de un congreso o evento similar, o como evento académico independiente, tales como: Conferencia inaugural, conferencia magistral, conferencia de clausura.
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- ChatGPT as a flipped learning tool in education: a case study in chemical engineering(2024) Delgado Fabián, Mónica; Huesca Juárez, Gilberto; Carrera Flores, Héctor Eder; Menchaca Torre, Hilda Lizette; Garcia Peñalvo, Francisco José; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504; University of AlicanteRapid technology advancement has profoundly impacted global education systems, particularly in the context of generative artificial intelligence (Gen-AI). This research's objective was to evaluate the potential integration of large language models (LLMs), such as ChatGPT, in chemical engineering education. In a course that employed flipped learning as an active learning strategy, the use of videos as a pre-class preparation activity was replaced by ChatGPT. The study employed a quantitative research design with an exploratory approach, with a sample size of 41 students. The efficacy of integrating ChatGPT was assessed by contrasting the normalized learning gain between the focus and control groups. The results of the descriptive statistics and the t-test indicate that there is no statistically significant difference between the two groups in terms of the normalized learning gain. The principal findings regarding the utilization of ChatGPT in chemical engineering curricula are as follows: first, it has the potential to enhance the explanation of fundamental concepts; second, it presents a challenge in tasks that require complex calculations; and third, it offers an opportunity for developing critical thinking in students. This research contributes to the existing literature on the use of ChatGPT as a tool in flipped classroom and highlights the ongoing need for further work on instructional design.
- Clinical competencies and complexity in students: systematic literature review(2024) Jimenez Botello, Luis Clemente; Rozo Garcia, Hugo Alexander; Garcia Peñalvo, Francisco José; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504; University of AlicanteThe achievement of clinical competencies by health students contributes to better patient care. The objective of this study was to know how clinical competencies are related to complex thinking in students. To achieve the objective, a systematic literature review was carried out, using the SCOPUS and WoS databases; with keywords from “clinical competencies” AND “complexity” AND “students” between the years of 2015 to 2024, the search results were narrowed using PRISMA, with quality criteria. The results show: a) The keywords related clinical competencies with educational aspects and different health careers; b) The journals related to education and health at level Q1 and Q2 are what had the most publications; c) The level of training was mainly undergraduate and nursing was the profession with the most publications; d) The types of complex thinking were: scientific thinking and critical thinking. The relationship between clinical competencies and complexity is through complex thinking, in particular scientific thinking and critical thinking. This study is intended to be of value to better understand how complex thinking processes contribute to improving the achievement of clinical competencies in health students.
- Complex competency model for digital transformation in corporate universities integrating artificial intelligence(2024) García Blásquez, Alicia; Ramírez Montoya, María Soledad; Garcia Peñalvo, Francisco José; https://ror.org/02f40zc51; https://ror.org/03ayjn504; University of AlicanteClearly, we live in a hyper-connected world where rapid technological innovation has given rise to a trend called digital transformation and the need for new skills development models in companies. This research aims to assess the development of complex thinking competencies in employees within a corporate university, measuring their performance levels with daily-practice digital tools to propose a digital transformation model using artificial intelligence. The research approach will employ a mixed, sequential explanatory (QUAN -> QUAL) design. With the results of this research, it will be possible to develop a prototype digital transformation model using artificial intelligence. The paper contains six sections: a) introduction: context and motivation underlying this research project, b) the state of the art of the primary theoretical constructs, c) the hypothesis and research objectives, d) the methodology followed, e) expected contributions and f) the conclusions. This research project will contribute to companies' significant digital transformations using artificial intelligence to improve their training and business processes.