GRIAL resources
Permanent URI for this communityhttps://repositorio.grial.eu/handle/123456789/1
Browse
7 results
Search Results
Item Learning Analytics in K-12 Spanish education: a systematic mapping study(IEEE, 2021-09-30) Donate, B.; García-Peñalvo, F. J.; Amo, D.Learning analytics processes have an increased relevance in the digitization and virtualization of learning and teaching due to COVID-19, this analytical practice may mean improvements in K-12 levels in Spain. The work aims to expose the principal scientific publications regarding Learning analytics at these educational levels through a systematic mapping study. The authors set the hypothesis that there is limited research in such an educational context. Results validate the hypothesis and foster to continue the work through a deeper systematic review.Item CreaSTEAM. Hacia la mejora de brechas en diversidad mediante la recopilación de proyectos, buenas prácticas y espacios STEAM(Servicio de Publicaciones Universidad de Zaragoza, 2021-10-20) Fonseca, D.; García-Holgado, A.; García-Peñalvo, F. J.; Jurado, E.; Olivella, R.; Amo, D.; Maffeo, G.; Yigit, Ö.; Keskin, Y.; Sevinç, G.; Quass, K.; Hofmann, C.La falta de diversidad, especialmente la desigualdad de género y el origen social son algunos de los problemas globales que podemos encontrar en diferentes sectores, pero especialmente latentes en el contexto de los campos de la Ciencia, la Tecnología, la Ingeniería (y el recientemente añadido concepto de Artes), y las Matemáticas (STEAM), desde la escuela primaria hasta el nivel universitario y, por tanto, el mercado laboral. Cuando hablamos de diversidad, nos preocupamos por atraer a personas representativas de todos los sectores de la sociedad, diferentes culturas, discapacidades, grupos étnicos, género u orientación sexual. Teniendo en cuenta el contexto descrito, el proyecto CreaSTEAM tiene como objetivo proporcionar un mapa actualizado de los recursos enfocados a la reducción de la brecha de diversidad utilizando enfoques STEAM, y cómo seleccionar de estos recursos las mejores soluciones para crear un marco que permita implementar STEAM-Labs en las escuelas. Los STEAMLabs, como principal novedad del proyecto, fusionan las soluciones que podemos encontrar en los FAB-Labs, MEDIA-Labs, y USERLabs, y nuestro enfoque se centra en la creación de buenas prácticas en estos espacios para promover la diversidad en STEAM, donde la diversidad también abarca la equidad de género, y la inclusión social para la promoción de las vocaciones STEAM.Item Personal Data Broker Instead of Blockchain for Students’ Data Privacy Assurance(Springer, 2019-04-01) Amo, D.; Fonseca, D.; Alier, M.; García-Peñalvo, F. J.; Casañ, M. J.Data logs about learning activities are being recorded at a growing pace due to the adoption and evolution of educational technologies (Edtech). Data analytics has entered the field of education under the name of learning analytics. Data analytics can provide insights that can be used to enhance learning activities for educational stakeholders, as well as helping online learning applications providers to enhance their services. However, despite the goodwill in the use of Edtech, some service providers use it as a means to collect private data about the students for their own interests and benefits. This is showcased in recent cases seen in media of bad use of students’ personal information. This growth in cases is due to the recent tightening in data privacy regulations, especially in the EU. The students or their parents should be the owners of the information about them and their learning activities online. Thus they should have the right tools to control how their information is accessed and for what purposes. Currently, there is no technological solution to prevent leaks or the misuse of data about the students or their activity. It seems appropriate to try to solve it from an automation technology perspective. In this paper, we consider the use of Blockchain technologies as a possible basis for a solution to this problem. Our analysis indicates that the Blockchain is not a suitable solu-tion. Finally, we propose a cloud-based solution with a central personal point of management that we have called Personal Data Broker.Item Protected Users: A Moodle Plugin To Improve Confidentiality and Privacy Support through User Aliases(MDPI, 2020-03-24) Amo, D.; Alier, M.; García-Peñalvo, F. J.; Fonseca, D.; Casañ, M. J.The privacy policies, terms, and conditions of use in any Learning Management System (LMS) are one-way contracts. The institution imposes clauses that the student can accept or decline. Students, once they accept conditions, should be able to exercise the rights granted by the General Data Protection Regulation (GDPR). However, students cannot object to data processing and public profiling because it would be conceived as an impediment to teachers to execute their work with normality. Nonetheless, regarding GDPR and consulted legal advisors, a student could claim identity anonymization in the LMS, if adequate personal justifications are provided. Per contra, the current LMSs do not have any functionality that enables identity anonymization. This is a big problem that generates undesired situations which urgently requires a definitive solution. In this work, we surveyed students and teachers to validate the feasibility and acceptance of using aliases to anonymize their identity in LMSs as a sustainable solution to the problem. Considering the positive results, we developed a user-friendly plugin for Moodle that enables students' identity anonymization by the use of aliases. This plugin, presented in this work and named Protected users, is publicly available online at GitHub and published under GNU General Public License.Item GDPR Security and Confidentiality compliance in LMS’ a problem analysis and engineering solution proposal(ACM, 2019-10-16) Amo, D.; Alier, M.; García-Peñalvo, F. J.; Fonseca, D.; Casany, M. J.We have studied the main Learning Management Systems (LMSs) to comprehend how personal data is processed and stored. We found that all the users' personal information, activity, and logs are stored unencrypted on the server filesystem and databases. A user with access to such resources may have full access to all the personal information and meta-information stored. Therefore, the LMSs are very vulnerable to information leaks in front of targeted hacker attacks due to weak GDPR compliance. In this paper, we analyze this problem from a technical and operational perspective for the open-source market leader LMS Moodle, and we propose a solution and a prototype of implementation.Item Evaluación de la importancia de la ética, privacidad y seguridad en los estudios de Learning Analytics, en el marco de las conferencias LAK(Servicio de Publicaciones Universidad de Zaragoza, 2019-10-09) Amo, D.; Alier, M.; Fonseca, D.; García-Peñalvo, F. J.; Casañ, M. J.; Navarro, J.Los orígenes del Learning Analytics son difusos y rodeados por un intenso debate sobre su definición. Este debate se sitúa en el ámbito académico y comunidad científica. Además, se pretende identificar el alcance, retos y barreras en la aplicación de análisis de datos educativos. El presente artículo corresponde a una investigación más amplia, centrada en el tratamiento y gestión de datos educativos. Hemos conducido una Literature Review aplicando Text Analytics sobre los títulos, resúmenes y autores de los artículos publicados en todas las conferencias LAK (Learning Analytics & Knowledge, periodo 2011-2019). El objetivo del análisis de texto es doble. Por una parte, averiguar si en los congresos LAK existe debate alrededor de la temática “privacidad y seguridad en el tratamiento y uso datos educativos en Learning Analytics”. Por otra parte, dar una aproximación del nivel de profundidad y aportar nuevas direcciones de investigación, si así fuera necesario. El resultado refleja una amplia tendencia en los congresos LAK de hacer un tratamiento informatizado, predictivo y masivo de datos educativos para ilustrar casos de estudio, marcos teóricos y propuestas de enfoque. Muy pocos artículos presentados se concentran en ética y/o privacidad (pero con un alto impacto científico), y ninguno en seguridad.Item Learning Analytics to Assess Students’ Behavior With Scratch Through Clickstream(CEUR-WS.org, 2018-08-31) Amo, D.; Alier, M.; García-Peñalvo, F. J.; Fonseca, D.; Casañ, M. J.The construction of knowledge through computational practice requires to teachers a substantial amount of time and effort to evaluate programming skills, to understand and to glimpse the evolution of the students and finally to state a quantitative judgment in learning assessment. This suposes a huge problem of time and no adecuate intime feedback to students while practicing programming activities. The field of learning analytics has been a common practice in research since last years due their great possibilities in terms of learning improvement. Such possibilities can be a strong positive contribution in the field of computational practice such as programming. In this work we attempt to use learning analytics to ensure intime and quality feedback through the analysis of students behavior in programming practice. Hence, in order to help teachers in their assessments we propose a solution to categorize and understand students’ behavior in programming activities using business technics such as web clickstream. Clickstream is a technique that consists in the collection and analysis of data generated by users. We applied it in learning programming environments to study students behavior to enhance students learning and programming skills. The results of the work support this business technique as useful and adequate in programming practice. The main finding shows a first taxonomy of programming behaviors that can easily be used in a classroom. This will help teachers to understand how students behave in their practice and consequently enhance assessment and students’ following-up to avoid examination failures.