Title
Characterization of Meaningful Learning Associated with Feedback in a Digital Transformation
Date Issued
23 July 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Association for Computing Machinery
Abstract
Teaching-learning at the higher university level has radically changed in universities, from face-to-face teaching to virtual teaching, which, forced by circumstances, originates the use of digital tools and connectivity through the internet as fundamental sources in the process. of student learning, since by not being in contact in a face-to-face way, the teacher must generate significant learning situations, ranging from promoting successful study practices with innovative approaches to an effective and constructive feedback process, which answers the questions of the student What did I do right? What can i improve? How can I improve? which we will analyze in this article. The methodology used is quasi-experimental with a descriptive-explanatory correlational design, whose study objective was the association of formative feedback related to meaningful learning, in which the application of technology allowed the development of abilities, aptitudes and skills in students. The study sample was made up of students of the Academic Mention of Primary Education, of the Faculty of Education Sciences and Humanities of the public university of the city of Ica-Peru. Data collection was applied through the observation card instrument, using the Hattie and Timperley feedback model. The results of the analysis have shown that there is a significant relationship between the association of feedback and the characterization of meaningful learning in students at the university level.
Start page
128
End page
131
Language
English
OCDE Knowledge area
Ciencias de la computación
Ciencias de la educación
Ciencias de la información
Subjects
Scopus EID
2-s2.0-85119871300
Resource of which it is part
ACM International Conference Proceeding Series
ISBN of the container
9781450390163
Conference
5th International Conference on Deep Learning Technologies, ICDLT 2021 Virtual, Online 23 July 2021 through 25 July 2021
Sources of information:
Directorio de Producción CientÃfica
Scopus