Learning Analytics Icons: Easy Comprehension of Data Treatment
Autor:
Amo-Filva, David
; Alier, Marc
; Fonseca, David
; García-Peñalvo, Francisco
; Casañ, María José
Fecha:
04/2024Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Citación:
D. Amo-Filva, M. Alier, D. Fonseca, F. J. Garcia-Peñalvo, M. J. Casañ. Learning Analytics Icons: Easy Comprehension of Data Treatment, International Journal of Interactive Multimedia and Artificial Intelligence, (2024), http://dx.doi.org/10.9781/ijimai.2024.04.001Tipo de Ítem:
articleResumen:
The Learning Analytics approach adopted in education implies the gathering and processing of sensitive information and the generation of student profiles, which may have direct or indirect dire consequences for the students. The Educational institutions must manage this data processing according to the General Data Protection Regulation, respecting its principles of fairness when it comes to information gathering and processing. This implies that the students must be well informed and give explicit consent before their information is gathered and processed. The GDPR propose the usage of recognizable standardized icons to facilitate a general understanding and awareness of how personal data is deemed to be processed in each application context, like an online course. This paper presents a project that aims to provide a set of icons to inform about the treatment of educational data in the Learning Analytics processes and a survey about the student's comprehension of the icons, their meaning, and implications for their privacy and confidentiality. The result presented is a set of icons ready to be integrated into educational environments that apply Learning Analytics to increase transparency and facilitate the understanding of data processing.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
120 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
154 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Generative Artificial Intelligence in Education: From Deceptive to Disruptive
Alier, Marc; García-Peñalvo, Francisco; Camba, Jorge D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)Generative Artificial Intelligence (GenAI) has emerged as a promising technology that can create original content, such as text, images, and sound. The use of GenAI in educational settings is becoming increasingly popular ... -
Proposing a Machine Learning Approach to Analyze and Predict Employment and its Factors
García-Peñalvo, Francisco; Cruz-Benito, Juan; Martín-González, Martín; Vázquez-Ingelmo, Andrea; Sánchez-Prieto, José Carlos; Therón, Roberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)This paper presents an original study with the aim of propose and test a machine learning approach to research about employability and employment. To understand how the graduates get employed, researchers propose to build ... -
Assessed by Machines: Development of a TAM-Based Tool to Measure AI-based Assessment Acceptance Among Students
Sánchez-Prieto, José Carlos; Cruz-Benito, Juan; Therón, Roberto; García-Peñalvo, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)In recent years, the use of more and more technology in education has been a trend. The shift of traditional learning procedures into more online and tech-ish approaches has contributed to a context that can favor integrating ...