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- Data analytics to predict dropout in a MOOC course on energy sustainability(2021-09-20) Riofrío Calderón, Gioconda; Ramírez Montoya, María Soledad; Rodríguez Conde, María José; Instituto Tecnológico y de Estudios Superiores de Monterrey; University of BarcelonaMassive open online courses (MOOCs) offer multiple advantages and vast training possibilities in diverse topics for millions of people worldwide to continue their education. However, dropout rates are high; thus, it is important to continue investigating the reasons for dropout to implement new and better strategies to increase course completions. The present study aimed to analyze the data of a MOOC class on energy sustainability to know why students drop out, identify causes, and predict dropouts in future courses. The method used was Knowledge Discovery in Databases to analyze association rules in the data. Using the Mexico X platform, an initial, validated survey instrument was applied to 1506 students enrolled in the MOOC course "Conventional Clean Energy and its Technology." The results indicated that association rules allowed identifying participants' behavior according to the type of responses with a determined confidence level. Also, the association rules were appropriate for working with a large amount of data. In the present case, results of up to 86% confidence were obtained based on the rules. This research can be of value to decision-makers, teachers, researchers, designers, and those interested in large-scale training environments
- Scenarios of the use of robotics as a support tool for teaching: challenges, learning and experiences in Mexico.(2021-09-20) López Caudana, Edgar; Rodríguez Abitia, Guillermo; Martínez Pérez, Sandra; Anton Ares, Paloma; Ramírez Montoya, María Soledad; Instituto Tecnológico y de Estudios Superiores de Monterrey; International Conference on Technological Ecosystems for Enhancing MulticulturalitySTEAM (Science, Technology, Engineering, Arts, and Mathematics) education is essential for the development of digital skills and competencies in students from different areas and/or educational levels. In reviews [1], it has been found that the application in STEAM education is quite common and increases the motivation of students, which can improve their learning and also increase their engagement with the disciplines related to these areas. Within different tools related to STEAM, educational robotics is established as a didactic and very motivating resource for students. The use and promotion of robotics generates suitable and motivating environments in many ways. As an example, in [2], it is shown that robotics in primary education uses strategies such as logical thinking, different programming languages, and mathematical and visualization challenges, representing a significant strategy for change in educational practices. Thus, robotics applied to teaching and learning processes, explores and encourages in its practice, numerous possibilities of adding multiple sources of value, such as the conjunction of the development of technical and emotional skills, like logical thinking, problem solving, inquiry-research processes, questioning, scientific intuition, creativity, and achievement motivation.
- Scaling Up Complex Thinking for Everyone A Conceptual and Methodological Framework(2021-08-31) Ramírez Montoya, María Soledad; Miranda, Jhonattan; Sanabria Zepeda, Jorge Carlos; Álvarez Icaza, Inés; López Caudana, Edgar; Alonso Galicia, Patricia Esther; Instituto Tecnológico y de Estudios Superiores de Monterrey; University of BarcelonaNowadays, complex thinking remains a critical topic to be addressed by researchers and academics in higher education, since it is considered as a core competency to be applied in the design and development of solution proposals that face current problems in society. However, there is still a need to create and implement innovative teaching-learning systems and initiatives that support training and development of desirable competencies, both transversal and disciplinary, that promote complex thinking in students. In this context, Open Science has become a fundamental resource to accelerate research processes, enrich education, build new forms of analysis of a complex social reality and impact massively in different regions by providing affordable infrastructure. To connect, develop and implement this, the “Reasoning for Complexity” Interdisciplinary Research Group (R4C-IRG) will be presented in this paper. This research group provides a conceptual and methodological framework based on three key approaches (i) Open Science, (ii) Open Innovation, and (iii) the Education 4.0 framework. As a result, an Open Collaborative Network Model that encompasses knowledge generation and transfer initiatives, the development of collaborative projects, and the entrepreneurship and technology transfer are proposed, in order to achieve the objective of scaling up levels of complex thinking in higher education students.