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Predictive Model to Evaluate University Students' Perception and Attitude Towards Artificial Intelligence

2024 , María Lorena Noboa Torres , Daniela Alejandra Ribadeneira Pazmiño , Daniela Paola Avalos Espinoza , Guevara Maldonado, César Byron

Artificial Intelligence is emerging as a transformative tool impacting various industries, including education As Artificial Intelligence continues to develop and gain prominence in classrooms, understanding how students perceive this integration and how it affects their educational experience becomes crucial. The aim of this research was to develop a model to predict the perception of students at Bolívar State University regarding the use and potentialities of Artificial Intelligence in the educational field. The methodology employed a factorial analysis, which represents the relationships among a set of variables. From this, a logistic regression was performed, generating an equation to identify predictors that allowed understanding student behavior based on specific characteristics such as attitude, perception, and satisfaction. As a technique for information gathering, a questionnaire composed of 25 items on a Likert scale was used, statistically validated with a Cronbach's alpha value of 0.925. The results of the model show that all covariates, except "Insecurity and fear of using artificial intelligence tools", are significant (p < 0.001). This suggests that the remaining variables are related to the dependent variable "Positive Perception of the Usefulness of Artificial Intelligence in Learning". It is concluded that students have limited knowledge about Artificial Intelligence, and this may cause them to have unrealistic expectations. Training can help students learn about AI and how to use it effectively and ethically.

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Preparation of Higher Education Students in Ecuador: An Analysis Based on the Knowledge Economy

2024 , Varela Lascano Darwin Marcelo , Diego Fernando Salas Heredia , Silvana Micaela Coloma Gudiño , Guevara Maldonado, César Byron

The knowledge economy has emerged as a key paradigm in global socioeconomic development, highlighting the importance of higher education in the formation of human capital capable of generating, applying and disseminating innovative knowledge. This study aims to evaluate the preparation of higher education students in Ecuador, considering critical variables such as soft skills, perception of the knowledge economy, university-business linkage and internationalization, and their impact on academic training. The methodology employed was quantitative, using a multiple linear regression model to analyze the relationship between the independent variables and the academic formation of a sample of 205 students from two Ecuadorian universities. Advanced statistical techniques were applied to evaluate the significance and impact of each variable. The results indicate that soft skills (r = 0.713, p < 0.01), perception of the knowledge economy (r = 0.602, p < 0.01) and internationalization (r = 0.594, p < 0.01) have a significant and positive impact on academic training. However, university-business linkage showed a lower and non-significant correlation (r = 0.407, p < 0.01). In conclusion, academic training in Ecuador benefits significantly from the development of soft skills, a positive perception of the knowledge economy and internationalization. However, the lack of significant impact of university-business linkages suggests the need for future studies to explore barriers and improve these collaborations. These findings underscore the importance of educational policies that integrate these factors to improve the preparation of students in a global knowledge economy.

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Advancing University Education: Exploring the Benefits of Education for Sustainable Development

2024 , Diego Bonilla-Jurado , Ember Zumba , Araceli Lucio-Quintana , Carlos Yerbabuena-Torres , Andrea Ramírez-Casco , Guevara Maldonado, César Byron

This article addresses the integration of Education for Sustainable Development (ESD) in higher education institutions, exploring its effects on academic performance and students’ ability to address sustainability challenges. Using the PRISMA 2020 methodology for a systematic literature review, 50 relevant articles were selected from 543 records, providing data on the academic impacts of ESD through bibliometric approaches and surveys. The results revealed that ESD improves academic performance, motivation and engagement, as well as enhances students’ ability to solve complex problems sustainably. However, significant barriers, such as a lack of resources and adequate teacher training, hinder effective implementation. Approximately 60% of students in ESD programs show greater motivation and analytical abilities compared to 50% in traditional programs. ESD enriches academic training and equips students with essential practical skills, preparing them to be agents of positive change. Incorporating emerging technologies and participatory learning methods is crucial to enhancing ESD effectiveness. Greater investment in teacher training and standardized educational materials, along with the promotion of international collaboration to share resources and best practices, is required.