Descripción del proyecto
Tecnologías para un mundo basado en datos
Dada la gran cantidad de datos generados en los últimos años, la sociedad se enfrenta al reto de transformar un mundo copado de datos en otro basado en datos. A pesar de los grandes progresos logrados, disponemos de recursos de motivación limitados para aprender y comprender nuestra realidad. El objetivo del proyecto financiado con fondos europeos GANDALF es diseñar soluciones de ludificación y datificación que mejoren los resultados del aprendizaje para los cursos de predicción. Examinará más a fondo los efectos de la ludificación en el aprendizaje, la experiencia del usuario y la precisión de los pronósticos de los usuarios. El proyecto fomentará la comprensión de los datos e investigará cómo motivar eficazmente a los usuarios para que exploren los datos.
Objetivo
A full 90% of all the data in the world has been produced over the last two years and the challenge of our society is to turn a world full of data into a data-driven world. Whereas the impressive progress in predictive analytics let us have insight on everything, our motivational resources are limited to learn and understand our reality. Today, gamification is regarded as a promising technique to improve motivational affordance in domains where people have difficulty of engagement such as data analytics and forecasting education.
In this regard, the GANDALF project proposes the design of gamification and datafication solutions, which aims at improvement of learning outcomes in the context of forecasting course and demonstrate a world view based on facts. GANDALF aims to experimentally investigate gamification effects on educational process of a forecasting techniques’ course by addressing three novel objectives: (1) Design, implement and use a web-based, modular, educational platform in order to teach exploratory data analytics (module 1) and forecasting time series methods (module 2); (2) Investigate behavioural and psychological effects of individual affordances on learning exploratory analysis and promote fact-based world-view; (3) Examine behavioural and psychological outcomes in the context of a forecasting time series methods course. GANDALF employs controlled experimental research methods, with pre-, post-test design and forecasting problems to gain knowledge on the gamification effect on learning, user-experience and users’ forecasting accuracy based on their characteristics as well.
GANDALF, along with its innovative points, contributes not only to civic understanding of data, but also to investigate how to effectively motivate users to explore data insights. In parallel, GANDALF advances my professional career and personal development in interdisciplinary field of teaching and learning methodologies for forecasting courses with gamification strategies.
Ámbito científico
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Régimen de financiación
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinador
33100 Tampere
Finlandia