Artículo
Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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- Developing scientific entrepreneurship and complex thinking skills: creating narrative scripts using ChatGPT(Frontiers, 2024-07-02) George Reyes, Carlos Enrique; Vilhunen, Elisa Ellen Marjaana; Avello Martínez, RaidellLópez Caudana, Edgar Omar; https://ror.org/03ayjn504The increased access to artificial intelligence (AI) applications has made it possible to develop more engaging and complex educational activities for students in different disciplines. This research explored expanding university students’ knowledge of scientific entrepreneurship skills using an Artificial Intelligence application. The students participated in a training experience using the conversational ChatGPT language model to generate narrative scripts for various topics on scientific discoveries and technological advances to create new products or services that offer cost-effective solutions based on science. The experience was designed employing the i4C model (identify, ideate, invent, inform). The study used a two-sample design with repeated measurements based on a pre-test and post-test. One hundred five graduate students from two master’s degree programs at the Bolivarian University of Ecuador participated during the 2022–2023 academic period. The results indicate that the students notably improved in acquiring the knowledge necessary for scientific entrepreneurial skills. The study concluded that applying AI ChatGPT with a narrative scripting strategy can create new learning opportunities for students.
- Developing the skills for complex thinking research: A case study using social robotics to produce scientific papers(Frontiers, 2024-06-10) López Caudana, Edgar Omar; George Reyes, Carlos Enrique; Avello Martínez, Raidell; https://ror.org/03ayjn504The development of university students’ skills to successfully produce scientific documents has been a recurring topic of study in academia. This paper analyzes the implementation of a training experience using a digital environment mediated by video content materials starring humanoid robots. The research aimed to scale complex thinking and its sub-competencies as a hinge to strengthen basic academic research skills. Students from Colombia, Ecuador, and Mexico committed to preparing a scientific document as part of their professional training participated. A pretest to know their initial level of perception, a posttest to evaluate if there was a change, and a scientific document the students delivered at the end of the training experience comprised the methodology to demonstrate the improvement of their skills. The results indicated students’ perceived improvement in the sub-competencies of systemic, creative, scientific, and innovative thinking; however, their perceptions did not align with that of the tutor who reviewed the delivered scientific product. The conclusion was that although the training experience helped strengthen the students’ skills, variables that are determinants for a student to develop the knowledge necessary to prepare scientific documents and their derived products remain to be analyzed.
- Complex thinking and profile of colombian university teachers(Frontiers, 2024-05-27) Vázquez Parra, José Carlos; Malagón Castro, Luz Elena; Suarez Brito, Paloma; Valencia González, Gloria Clemencia; https://ror.org/03ayjn504During the last decade, the development of competencies has become a cardinal point for universities, focusing not only on those skills directly associated with technical or disciplinary aspects but also on those necessary in training for life. In this sense, the so-called general (transversal) competencies become primary in the curricula as part of the training of students regardless of discipline. However, although much literature has reported on students’ acquisition and development of these competencies, what is the reality for teachers facing this formative challenge? Methodologically, this study uses the validated EComplexity instrument to assess self-perceived competence in complex thinking among 51 university teachers (30 women and 21 men, mean age 39 years) from southern Colombia, covering five academic disciplines: Business, Health Sciences, Engineering, Social Sciences and Humanities. The aim was to measure their perceived preparedness to teach complex thinking as part of a teacher training course, with an emphasis on the participants’ varied academic backgrounds. For data analysis this study employed a multivariate descriptive statistical analysis using SPSS software. The results determined that the teachers perceived themselves as competent in complex thinking and sub-competencies. In conclusion, the study found that differences in factors such as gender, age and academic discipline did not significantly influence teachers’ self-perceived competence in complex thinking. This article contributes to the identification of essential teaching competences for the teacher education process within competence-based pedagogical models, ensuring the quality of academic work.
- eComplexity: validation of a complex thinking instrument from a structural equation model(Frontiers, 2024-05-24) Vázquez Parra, José Carlos; Henao Rodriguez, Linda Carolina; Lis-Gutiérrez, Jenny Paola; Castillo Martínez, Isolda Margarita; Suarez Brito, Paloma; https://ror.org/03ayjn504The eComplexity instrument aims to measure the perception of achievement in the complex thinking competency and its sub-competencies. To ensure the reliability of this instrument, validation processes like the one presented in this article are necessary. Methodologically, this study evaluates data from 1,037 university students in Mexico, confirming the statistical validity and reliability of the instrument. As a result, the demonstrated reliability of the eComplexity instrument as a tool for measuring perceived achievements in complex thinking provides a valuable resource for assessing the effectiveness of educational interventions. Consequently, this research contributes to a more informed approach to fostering critical thinking skills, benefiting both theoretical exploration and practical application in educational settings. The study employs the Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate students’ self-perceptions of their performance in complex thinking and its sub-competencies, thus advancing the field of educational measurement. Academically, it enriches the discourse on the design and validation of instruments, offering a rigorous model for future efforts in measuring cognitive competencies. Practically, the study’s results inform educational practice by identifying systemic and scientific thinking as key to developing complex thinking skills. This knowledge enables educators to more effectively adapt teaching strategies and curricular designs, aiming to enhance students’ ability to navigate the complexities of the modern world.
- Lifelong learning and metacognition in the assessment of pre-service teachers in practice-based teacher education(Frontiers, 2022-05) Matsumoto Royo, Kiomi; Ramírez Montoya, María Soledad; Glasserman Morales, Leonardo David; Instituto Tecnológico y de Estudios Superiores de Monterrey; Faculty of Education, Universidad del Desarrollo; Institute for the Future of Education; School of Humanities and Education, Tecnologico de MonterreyInitial teacher education should prepare pre-service teachers to develop effective teaching and lifelong learning tendencies. This study aimed to identify the component to consider in pre-service teachers’ assessment processes that promote lifelong learning and develop metacognition skills. For this, it analyzed how the planned and implemented actions by the teacher educators in Practice-based Teacher Education programs promoted metacognition and lifelong learning in the pre-service teachers. The method was a mixed explanatory sequential design. Quantitative and qualitative instruments were applied. Information was obtained from the learning and assessment resources (72 syllabi and 14 assessment tasks) and pre-service teachers’ opinions (survey: n = 231, interviews: n = 8). The findings identified three main components: (i) authentic and relevant assessment tasks, (ii) prior communication of instructions and evaluation criteria, and (iii) frequent performance-focused feedback from peers and teacher educators during and at the end of assignments. The study results can be valuable in teacher education programs to strengthen assessment processes, promote lifelong learning tendencies, and develop metacognitive skills among the teachers in training.
- Implementation of NAO robot maze navigation based on computer vision and collaborative learning(Frontiers, 2022-04-04) Magallán Ramírez, Daniela; Martínez Aguilar, Jorge David; Rodríguez Tirado, Areli; Balderas Silva, David Christopher; López Caudana, Edgar Omar; Moreno García, Carlos Francisco; BALDERAS SILVA, DAVID CHRISTOPHER; 222222; https://ror.org/03ayjn504; https://ror.org/04f0qj703Maze navigation using one or more robots has become a recurring challenge in scientific literature and real life practice, with fleets having to find faster and better ways to navigate environments such as a travel hub, airports, or for evacuation of disaster zones. Many methodologies have been explored to solve this issue, including the implementation of a variety of sensors and other signal receiving systems. Most interestingly, camera-based techniques have become more popular in this kind of scenarios, given their robustness and scalability. In this paper, we implement an end-to-end strategy to address this scenario, allowing a robot to solve a maze in an autonomous way, by using computer vision and path planning. In addition, this robot shares the generated knowledge to another by means of communication protocols, having to adapt its mechanical characteristics to be capable of solving the same challenge. The paper presents experimental validation of the four components of this solution, namely camera calibration, maze mapping, path planning and robot communication. Finally, we showcase some initial experimentation in a pair of robots with different mechanical characteristics. Further implementations of this work include communicating the robots for other tasks, such as teaching assistance, remote classes, and other innovations in higher education.