By Marco Bressan, chief data scientist, BBVA.
By Susan Grajek, Vice President for data, research and analytics, EDUCAUSE.
Big data and analytics are reshaping everything. Industry is using them to great effect, to better understand markets and customers, manage supply chains, and increase profits. Personalized medicine, fueled by analytics applied to big data, is poised to revolutionize healthcare. Higher education lags several paces behind these fields. Some institutions are demonstrating improvements in retention and degree completion, but most are still using data to monitor student outcomes and activities rather than predict or proactively intervene.
Certainly, trends related to analytics and data are influencing institutional IT strategy, more so than other types of trends EDUCAUSE tracks, including those related to teaching and learning and security and risk1. Data-driven decision-making, enterprise data management, and data integration issues are all already incorporated into or exerting a major influence on emerging IT strategy in at least half of US colleges and universities. Personalized learning, however, is only this influential at one in five institutions.
Over the last years, I’ve been researching how real-time behavioral data, collected unobtrusively through technology, can predict learning outcomes. As part of this line of research, I’ve recently published the paper Predicting course outcomes with digital textbook usage data in The Internet and Higher Education.
The study used data collected from student engagement with digital textbooks in order to predict course grades. Two measures of student engagement with the texts were analyzed: an engagement index that was calculated through a linear combination of the number of pages read, number of times a student opened their textbook, number of days the student used their textbook, time spent reading, number of highlights, number of bookmarks, and number of notes. The second analysis included the individual components of the engagement index.
By Manuel Armayones, associate professor and Deputy Director, Faculty of Psychology and Education Sciences, UOC.
In 1995, the American Psychology Association (APA), through its Task Force for the analysis of the concept Intelligence, considered it as the ability to “understand complex ideas, to adapt effectively to the environment, to learn from experience, to engage in various forms of reasoning, to overcome obstacles by taking thought”.
The question we must ask when relating this concept to that of smart cities and big data & analytics is if asking the right questions of data, so that they assist us in making decisions, can help us to better adapt to the environment, learn from experience and engage in various forms of reasoning.
By Natalie Shoup, program manager, Data-Pop Alliance.
As a global coalition on Big Data and development, Data-Pop Alliance works together with different actors to promote a people-centered revolution on these technologies. We took advantage of the visit of its program manager, Natalie Shoup, to Barcelona to talk about the challenges and risks of Big Data and Analytics, especially regarding education and development. According to Shoup, we need to engage people both in data literacy and in the ethical and legal discussions around those technologies. Check out her reflections in the short video below.
By María Binaghi, head of science programs & content manager, DataDonors.
What if all the health information we generate online was available for scientists to get relevant knowledge from it? That is the starting point of DataDonors, a campaign by The Wikilife Foundation (non-profit), which is asking volunteers to donate their online data so that researchers can produce faster knowledge on health issues. In this short video, its responsible for science programs, María Binaghi, shares with us some reflections regarding the main question of this blog. This contribution was possible thanks to the kind collaboration of the OuiShare Fest Barcelona event.
By Francesc Balagué, educator and founder of Akoranga and Crowdfunding Sherpas.
ICTs have changed many aspects of our lives, and the way we learn has not been an exception. Perhaps big data is a newcomer in that area, but not the only one. MOOCs have been trendy lately, but as education expert, Francesc Balagué wonders whether they might have been displacing other well established tools that were doing a good job at enhancing learning processes. Get his complete reflections in the short video below. This contribution was possible in collaboration with the OuiShare Fest Barcelona event.