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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- Identification of complex thinking related competencies: The building blocks of reasoning for complexity(SOLAR Society for Learning Analytics Research, 2024-03-06) Talamás Carvajal, Juan Andrés; Ceballos Cancino, Héctor Gibrán; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504Complex thinking competency enhances the high cognitive capacities necessary for the future of education. This study aimed to analyze these capacities through its sub-competencies (critical, systemic, and scientific thinking). We worked with the Cross Industry Standard Process for Data Mining methodology, with an original database of class data of 33,319 unique students, 46 different variables, and a random identification number. The variables were sociodemographic information, academic information, subject admission, competencies, and activities. Statistical analyses identified correlations between competency and sub-competencies. The findings show that 1) critical thinking is strategic in the development of complex thinking and its sub-competencies; 2) Development of Critical Thinking skills early in the curriculum can lead to a cascade effect, enhancing competence and sub-competence development; and 3) an overall performance encompasses the semester results. The study is of value to the academic, technological, and social communities to provide opportunities for the design and implementation of challenging scenarios for the future of education
- Impact of teaching workload on scientific productivity: multidimensional analysis in the complexity of a mexican private university(MDPI, 2023-05-04) Ramírez Montoya, María Soledad; Ceballos Cancino, Héctor Gibrán; Martínez Pérez, Sandra; Romero Rodríguez, Luis Miguel; Instituto Tecnológico y de Estudios Superiores de Monterrey; https://ror.org/03ayjn504Researchers primarily dedicate their time to teaching in Latin American universities. For this reason, it is essential to determine how teaching time affects (or contributes to) the scientific productivity of researchers working under these conditions. We analyzed the incidence of gender, groups taught at undergraduate and graduate levels, the researcher proficiency level, and the number of thesis students advised, among others, for the impact on the scientific productivity (annual publications) of a group of professors. We analyzed the data using both statistical and regression methods. Contrary to our initial hypothesis, the number of groups taught does not significantly influence research productivity; it is affected by other factors such as belonging to the Mexican Researcher System (SNI) or having a researcher or administrative position at the institution. Our results can help guide the formulation of academic and research policies that contribute to the scientific productivity of Latin American universities
- Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks(Springer Nature, 2018-01-01) Garza, Sara E; Ceballos Cancino, Héctor Gibrán; Cantú Ortiz, Francisco Javier; Tecnológico de MonterreyThe factors that foster successful scientific collaboration and team- work have been studied extensively. However, these factors have been studied in isolation and it is not clear to what extent one factor is more relevant than other in the formation of research groups. In this work we propose a new methodology based on network analysis to simultaneously evaluate multiple factors considered relevant in the conformation of formal research groups. Our methodology is supported on structural, statistical, and correlation analysis. In addition to validating our methodology with a case study at a research- teaching university, we introduce a new network to represent the success of sci- entific collaboration that produces the best prediction in group formation. Our methodology and the results obtained can be used for organising researchers in a university that seeks to strengthen its research strategy.
- An alignment comparator for entity resolution with multi-valued attributes(Springer Verlag, 2014-11-22) Mazzucchi-Augel, Pablo N; Ceballos Cancino, Héctor GibránEntity matching is a problem that concerns many data management processes. If we consider matching between entities represented by RDF individuals we might find attributes values lists with variable-length for some properties, which will lead us to the problem of comparing multi-valued attributes, e.g. comparing author names lists for determining publication matching. This matching technique would be more complex than comparing fixed-length records, but less complex than comparing XML documents. Instead of comparing a single string, representing the concatenation of these values, each value of one vector should be compared against all values of the other vector. We propose a set of heuristics to address the alignment and comparison process of multi-valued attributes and evaluate them in the context of bibliographic databases. Our first results show that it is possible to reduce the comparisons amount and provide an aggregated similarity metric that outperforms the average similarity of cross product comparisons.
- Mapping relational databases through ontology matching: A case study on information migration(2011-10-24) Rodriguez-Mancha, Manuel; Cantu, Francisco J; Diaz-Prado, Aldo; Ceballos Cancino, Héctor GibránIn order to aid domain experts during data integration, several schema matching techniques have been proposed. Despite the facilities provided by these techniques, mappings between database schemas are still made manually. We propose a methodology for mapping two relational databases that uses ontology matching techniques and takes advantage of tools like D2R Server and AgreementMaker for automating mapping generation and for enabling unified access to information. We present the results obtained by some ontology matching algorithms in this context, demonstrating the feasibility of this approach.