Jenniffer Sobeida Moreira-Choez
Biographic Data
| ID | 10099010 |
|---|---|
| NAME | Jenniffer Sobeida Moreira-Choez |
| GIVEN NAMES | Jenniffer Sobeida |
| FAMILY NAME | Moreira-Choez |
| SIGNATURE | MOREIRA-CHOEZ J S |
| AFFILIATIONS | Universidad Técnica de Manabí |
| ORCID | 0000-0001-8604-3295 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting the use of artificial intelligence based on digital competencies in postgraduate education using a machine learning approach
Introduction The accelerated development of artificial intelligence and machine learning has transformed postgraduate education by incorporating predictive analytics and data-driven decision-making processes. In this context, digital competencies are a key factor for the effective use of artificial intelligence tools in academic environments. Therefore, this study aims to determine to what extent machine learning models can predict the use of art…
Emotional development in postgraduate students through the application of machine learning
Introduction Emotional development is a central component in the academic formation and well-being of students, particularly at the postgraduate level, where academic, professional, and personal demands are considerable. This study aimed to analyze the emotional development of postgraduate students at the State University of Milagro through the application of machine learning. Methodology The approach was quantitative, with a non-experimental and…
The relationship between age and emotional intelligence in postgraduate students
Introduction Emotional intelligence is essential for the holistic development of students, particularly in postgraduate contexts, where academic and personal demands are higher. This study aimed to analyze the relationship between age and emotional intelligence among postgraduate students at the State University of Milagro (UNEMI). It specifically considered the dimensions of attention, clarity, and emotional repair. Methodology The methodologica…
Validation of a teaching model instrument for university education in Ecuador through an artificial intelligence algorithm
Introduction In the context of university education in Ecuador, the application of Artificial Intelligence (AI) for the assessment and adaptation of teaching models marks significant progress toward enhancing educational quality. The integration of AI into pedagogical processes is increasingly recognized as a strategic component for fostering innovation and improving instructional outcomes in higher education. Methods This study focused on the va…
Measurement through structural equations of the self-concept instrument in high-school students
Introduction Self-concept is a fundamental component of psychological and educational development, playing a critical role in students' academic performance and emotional wellbeing. Despite its importance, gaps remain in the validation of measurement instruments tailored to specific educational contexts. Methods This study employed a quantitative, predictive, and correlational methodology with a non-experimental cross-sectional design. A total of…
Financial literacy and educational level in Ecuadorian students
Background Financial literacy has been recognized as a key competency for making in-formed economic decisions, particularly in contexts where access to financial products exceeds the population’s literacy level. However, in Ecuador, persistent gaps remain be-tween formal educational attainment and applied financial knowledge. In this context, the objective of this study was to analyze the relationship between educational level and financial liter…
Artificial intelligence for determining learning strategies in university students
Background University students employ various learning strategies that influence their academic success and retention in the educational system. However, those who fail to use these strategies effectively may be at risk of dropping out. In this context, the objective of this study was to determine the learning strategies of students at the Pontifical Catholic University of Ecuador, Santo Domingo campus (PUCESD) using artificial intelligence. Meth…
Influence of gender and academic level on the development of digital competencies in university teachers
Introduction In the digital era, the evolving demands of professional fields, especially in higher education, have accentuated the need for advanced digital competencies among faculty members. Digital competencies are now considered essential for effective teaching, necessitating an in-depth understanding of how these skills are distributed across different demographics, including gender and academic level. This study aims to explore the digital …
Assessment of digital competencies in higher education faculty
Introduction Digital competencies are increasingly recognized as a fundamental pillar in the professional development of educators, particularly in Higher Education, where the integration of educational technologies is crucial for enhancing teaching and learning processes. Methods This study assessed the digital competencies of faculty at the Technical University of Manabí using a descriptive, non-experimental approach with a sample of 279 profes…
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Influence of gender and academic level on the development of digital competencies in university teachers
Introduction In the digital era, the evolving demands of professional fields, especially in higher education, have accentuated the need for advanced digital competencies among faculty members. Digital competencies are now considered essential for effective teaching, necessitating an in-depth understanding of how these skills are distributed across different demographics, including gender and academic level. This study aims to explore the digital …
Assessment of digital competencies in higher education faculty
Introduction Digital competencies are increasingly recognized as a fundamental pillar in the professional development of educators, particularly in Higher Education, where the integration of educational technologies is crucial for enhancing teaching and learning processes. Methods This study assessed the digital competencies of faculty at the Technical University of Manabí using a descriptive, non-experimental approach with a sample of 279 profes…
Emotional development in postgraduate students through the application of machine learning
Introduction Emotional development is a central component in the academic formation and well-being of students, particularly at the postgraduate level, where academic, professional, and personal demands are considerable. This study aimed to analyze the emotional development of postgraduate students at the State University of Milagro through the application of machine learning. Methodology The approach was quantitative, with a non-experimental and…
The relationship between age and emotional intelligence in postgraduate students
Introduction Emotional intelligence is essential for the holistic development of students, particularly in postgraduate contexts, where academic and personal demands are higher. This study aimed to analyze the relationship between age and emotional intelligence among postgraduate students at the State University of Milagro (UNEMI). It specifically considered the dimensions of attention, clarity, and emotional repair. Methodology The methodologica…
Validation of a teaching model instrument for university education in Ecuador through an artificial intelligence algorithm
Introduction In the context of university education in Ecuador, the application of Artificial Intelligence (AI) for the assessment and adaptation of teaching models marks significant progress toward enhancing educational quality. The integration of AI into pedagogical processes is increasingly recognized as a strategic component for fostering innovation and improving instructional outcomes in higher education. Methods This study focused on the va…
Measurement through structural equations of the self-concept instrument in high-school students
Introduction Self-concept is a fundamental component of psychological and educational development, playing a critical role in students' academic performance and emotional wellbeing. Despite its importance, gaps remain in the validation of measurement instruments tailored to specific educational contexts. Methods This study employed a quantitative, predictive, and correlational methodology with a non-experimental cross-sectional design. A total of…
Financial literacy and educational level in Ecuadorian students
Background Financial literacy has been recognized as a key competency for making in-formed economic decisions, particularly in contexts where access to financial products exceeds the population’s literacy level. However, in Ecuador, persistent gaps remain be-tween formal educational attainment and applied financial knowledge. In this context, the objective of this study was to analyze the relationship between educational level and financial liter…
Artificial intelligence for determining learning strategies in university students
Background University students employ various learning strategies that influence their academic success and retention in the educational system. However, those who fail to use these strategies effectively may be at risk of dropping out. In this context, the objective of this study was to determine the learning strategies of students at the Pontifical Catholic University of Ecuador, Santo Domingo campus (PUCESD) using artificial intelligence. Meth…
Predicting the use of artificial intelligence based on digital competencies in postgraduate education using a machine learning approach
Introduction The accelerated development of artificial intelligence and machine learning has transformed postgraduate education by incorporating predictive analytics and data-driven decision-making processes. In this context, digital competencies are a key factor for the effective use of artificial intelligence tools in academic environments. Therefore, this study aims to determine to what extent machine learning models can predict the use of art…
Computer Science (8 works) · Mathematics education (7 works) · Psychology (7 works) · Engineering (4 works) · Artificial Intelligence (3 works) · Digital literacy in education (3 works) · Machine learning (3 works) · Sociology (3 works) · E-Learning and Knowledge Management (2 works) · Educational Innovations and Technology (2 works)