The Experiment@ International Conference is the 4th event of this biennial conference series dedicated to online experimentation. It provides a forum of discussion and collaboration between academics, researchers and industry trying to bridge the gap between academic applications and the real world needs and experiences. This year the event was held at University of Algarve, in Faro, Portugal, on June 6-8, 2017. The topics of interest were online experimentation, remote & virtual labs, remote sensing, remote monitoring, Intelligent learning systems, smart university and smart education among others. As part of the programme, a presentation of the SNOLA network was made […]
Webinar SNOLA con Dai Griffiths “Learning analytics and policy” 6/6/17
El próximo 6 de junio de 2017 a las 17:00 CET Dai Griffiths, un referente internacional en Learning Analytics impartirá el webinar titulado “Learning Analytics and Policy”. En él se tratarán aspectos legales y de políticas educativas respecto al Learning Analytics. Dai Griffiths is a professor in the School of Education and Psychology. His background is in the arts and in education, and he has taught at many levels including primary and secondary education, higher education and continuing education, and in industry. From the early 1990s he worked on a wide range of aspects of technology and education, as a […]
CFP LASI Spain 17
Learning analytics has become increasingly present in educational settings. Whenever information technologies are used for educational purposes, there is a trail of evidence of the activities and behaviors of both learners and instructors. Over time, the analysis of this evidence, be it real-time data or data stored in database systems, may help better understand and improve educational processes. Learning analytics covers a wide variety of analysis techniques over multiple-sourced data (content repositories, interactive systems, multimedia streams) and technologies (learning management systems, educational games, virtual settings, mobile devices), ranging from data mining to data visualizations, and focusing on different aspects of […]
Pre-doc position available at the University of Deusto
Supported and co-funded by the European Commission through the Horizon 2020 Marie Sklodowska-Curie COFUND Programme, the University of Deusto (Bilbao, Spain) provides a three-years positions that aims at attracting qualified international Early Stage Researchers for high quality PhD training. The thesis proposal “Learning Analytics for Computational Thinking assessment” aims to apply Learning Analytics techniques for Computational Thinking assessment, a topic which is challenging and plausible at the same time. Challenging because most computer-related problems have more than a single solution and novice programmers tend to address problems in imaginative -and often overcomplicated- ways. Plausible because the solutions that need to […]
SNOLA at “Research Evidence on the Use of Learning Analytics: Implications for Education Policy” report
El informe “Research Evidence on the Use of Learning Analytics: Implications for Education Policy” publicado por la Comisión Europea para la Ciencia y el Conocimiento en el año 2016 reconoce la Red SNOLA como un actor relevante en el ámbito del Learning Analytics dentro de la Unión Europea. El informe puede ser accedido desde aquí o a través de su DOI The “Research Evidence on the Use of Learning Analytics: Implications for Education Policy” report published by The European Commission’s Science and Knowledge Service in 2016 acknowledges SNOLA as a European relevant actor in the field of Learning Analytics. The […]
ALAS-KA (Add-on of the Learning Analytics Support for the Khan Academy)
Descripción ALAS-KA es una herramienta de learning analytics que está basada en la plataforma de Khan Academy. Su objetivo es el de ofrecer unas visualizaciones de distintos tipos de información que puedan ayudar a los profesores y alumnos a mejorar el proceso de aprendizaje durante el curso en la plataforma de Khan Academy. Los alumnos van a poder acceder a las visualizaciones de sus propios parámetros pero no a las del resto de alumnos o a la clase. Los profesores podrán ver las visualizaciones de todos los alumnos del curso y también otras globales de la clase. Desarrollado por Universidad […]
ANALYSE (Add-on of learNing AnaLYtics Support for open Edx)
Descripción ANALYSE is a learning analytics tool developed for Open edX. ANALYSE transforms low level data into useful indicators about the learning process. In addition, ANALYSE provides useful visualizations for teachers and students using these indicators. At present, we provide a beta release of ANALYSE, which extends the learning analytics functionality of Open edX with 12 new visualizations. A new tab has been addded in the course dashboard of open edX to access ANALYSE. Some of the features of ANALYSE are the following: Transform low level data from open edX logs into higher level indicators that are meaningful for the […]
Google DataStudio
Descripción Herramienta gratuita de Google para crear visualizaciones e informes interactivos Desarrollado por Google Tipo de licencia Gratis con cuenta de Google URL https://datastudio.google.com/
Webinar SNOLA con Abelardo Pardo “¿Pueden los datos ayudarme a aprender?” 23/2/17
El próximo 23 de febrero Abelardo Pardo, un referente internacional en Learning Analytics, compartirá con nosotros su experiencia sobre la utilidad de los datos para el aprendizaje. Bajo el título “¿Pueden los datos ayudarme a aprender?” explorará los aspectos del aprendizaje que pueden ser analizados en presencia de los datos. Para apuntarte al webinar, completa el siguiente formulario https://goo.gl/forms/AaALpLmypXyPvo162 Abstract: Con el incremento de tareas en un entorno de aprendizaje mediadas por la tecnología viene un igual incremento de los datos recopilados sobre la interacción de los alumnos en ese entorno. Las iniciativas más comunes que se derivan de este […]
R
Descripción Lenguaje para análisis estadístico. Dispone de librerías para análisis de datos, aprendizaje automático, minería de datos, análisis de redes sociales, gráficas, dashboards, etc. Tipo de licencia Open-source y gratuita. URL https://cran.r-project.org Enlaces a tutoriales o documentación útil http://www.r-tutor.com