THE COVID-19 PANDEMIC LED TO A SIGNIFICANT SHIFT TOWARDS MORE INNOVATIVE TEACHING METHODS, HIGHLIGHTING THE NEED FOR CONTINUOUS AND FLEXIBLE LEARNING APPROACHES. THUS, IT IS RELEVANT TO EXPLORE THE CASUISTRY OF THE VARIOUS APPLICATIONS OF MICROLEARNING AND NANOLEARNING IN HIGHER EDUCATION, AND IDENTIFY THE THEMATIC TRENDS AND TOPICS LITTLE EXPLORED IN THE PANDEMIC AND POST-PANDEMIC SCENARIO. IN THIS SENSE, THE PURPOSE OF THIS STUDY IS TO CARRY OUT A BIBLIOMETRIC REVIEW UNDER A QUANTITATIVE APPROACH AND AT AN EXPLORATORY-DESCRIPTIVE LEVEL, ON THE EXISTING LITERATURE IN THE SCOPUS DATABASE. AS A RESULT, IT WAS POSSIBLE TO IDENTIFY THAT THE COVID-19 PANDEMIC HAS INFLUENCED SCIENTIFIC PRODUCTION IN THE APPLICATION OF MICROLEARNING IN HIGHER EDUCATION TO A GREATER EXTENT WITH RESPECT TO NANOLEARNING. FURTHERMORE, THE PREVALENT THEMES IDENTIFIED IN THE EXISTING LITERATURE ARE THE EFFECTIVENESS...

The objective of this study was to identify the results of the learning management system (LMS) functionality, and its relationship in the perception of electronic engineering students. The results serve as a basis for continuous improvement for the higher institution, because these systems are tools that have the purpose of improving the performance and retention of the student in the virtual teaching-learning process. Initially, the reliability of the data collected was determined using Cronbach's Alpha, obtaining a consistency coefficient of 0.868. After processing the data in the SPSS software, using the 5-level Likert scale, it was determined that the indicators that present a better perception are related to the design and ease of navigation. However, 21.4% do not fully agree with the functionality, due to the technical problems presented when downloading the study material. The ef...

THE GROWING INCORPORATION OF ARTIFICIAL INTELLIGENCE (AI) TOOLS IN HIGHER EDUCATION (HE) HAS LED TO THE USE OF INDICATORS THAT ALLOW THE REAL IMPACT OF THESE TOOLS TO BE IDENTIFIED IN THE TEACHING AND LEARNING PROCESS. IN THIS SENSE, THIS STUDY DEVELOPED A BIBLIOMETRIC REVIEW ON THE ACCEPTANCE OF AI TECHNOLOGIES IN HE, PROVIDING AN ANALYSIS OF INDICATORS ON SCIENTIFIC PRODUCTION, WITH THE AIM OF IDENTIFYING PREVALENT THEMATIC AREAS AND KNOWLEDGE GAPS. FROM A METHODOLOGICAL POINT OF VIEW, THIS STUDY WAS CARRIED OUT USING A QUANTITATIVE APPROACH WITH A DESCRIPTIVE LEVEL, UTILISING 56 PUBLICATIONS DRAWN FROM THE SCOPUS DATABASE. THE RESULTS SHOW A SUSTAINED EVOLUTION WITH A GROWING TREND IN SCIENTIFIC PRODUCTION SINCE 2021. THE MOST PREDOMINANT THEMATIC AREA IS EVALUATION OF THE ACCEPTANCE OF AI TECHNOLOGIES IN HE, MAKING GREATER USE OF THE TECHNOLOGY ACCEPTANCE MODEL (TAM) AND THE UNIFIED ...

The objective of this study was to identify the results of the learning management system (LMS) functionality, and its relationship in the perception of electronic engineering students. The results serve as a basis for continuous improvement for the higher institution, because these systems are tools that have the purpose of improving the performance and retention of the student in the virtual teaching-learning process. Initially, the reliability of the data collected was determined using Cronbach's Alpha, obtaining a consistency coefficient of 0.868. After processing the data in the SPSS software, using the 5-level Likert scale, it was determined that the indicators that present a better perception are related to the design and ease of navigation. However, 21.4% do not fully agree with the functionality, due to the technical problems presented when downloading the study material. The ef...