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 learning: at-risk student detection, improvement of drop-out rates and academic outcomes, enabling adaptive learning, support to teachers’ orchestration, etc.
The fifth edition of the Learning Analytics Summer Institute Spain 2017 (LASI Spain 2017), organized by Universidad Carlos III de Madrid (UC3M), Universidad Nacional de Educación a Distancia (UNED) and Universidad Politécnica de Madrid (UPM), in collaboration with SNOLA (Spanish Network of Learning Analytics) and eMadrid, is part of the global LASI network, conceived as a platform to catalyse educators, technologists, researchers, enterprises and policymakers around shaping the next generation of learning infrastructures to truly serve the needs of the educational sector.
The Call for Papers of LASI Spain 17 invites researchers across the globe to submit original research and work in progress that further contributes to advances in the field. LASI Spain 17 welcomes both quantitative and qualitative work related to the topics of interest within the broad theme of “Advances in Learning Analytics”, and aims to cross interdisciplinary boundaries that help expanding our understanding of current and future trends in learning analytics.
LASI Spain 17 aims to address state-of-the-art advances in learning analytics, and to gather multidisciplinary but complementary approaches from different fields, such as Computer Science, Data Science, Mathematics, Education, Sociology and Psychology. This Call for Papers is open for submissions covering the following topics:
- Learning analytics oriented to assessment of competences.
- Learning analytics and self-regulated learning.
- Adaptive learning.
- Longitudinal studies on learning analytics.
- Theoretical advances in learning analytics.
- Ethical and privacy aspects of learning analytics.
- Policy-making and learning analytics.
- Technological developments and learning analytics: interoperable systems, multimodal learning analytics, virtual worlds.
- Discourse and sentiment analytics.
- Social learning analytics.
- Data transformation processes for learning analytics.
- Integration of learning analytics and instructional methods.
- Learning analytics in personal learning environments (PLEs)
- Interplay between learning analytics and learning design
- Learning analytics to support classroom orchestration
- Submission date: April 30 2017
- Acceptance notification: May 21 2017
- Camera-ready papers: June 15 2017
Manuscript submission instructions
- All manuscripts must be submitted through the Easychair system (https://easychair.org/
- Submissions must strictly follow Springer Conference Proceedings guidelines for contributions (https://www.springer.com/gp/
computer-science/lncs/ conference-proceedings- guidelines). Manuscripts submitted for review should not include any information that could reveal the identity of the author(s).
Types of submission
- Short papers: 6-8 pages.
- Full papers: 12-15 pages.