Tag

learning analytics Archives - LILab

#LAK17 – it’s all about multimodality

By | English, Learning Analytics | One Comment

The 2017 edition of the Learning Analytics & Knowledge conference beat all the previous records with 344 submissions from 1000 authors and 415 participants, the acceptance rate of the full paper was 34%. Multimodality is the main focus The trending topic of #LAK17 is undoubtedly multimodality. Two keynotes out of three Sanna Jarvela and Sydney D’Mello focus on multimodal data for learning. The topic is also reflected in many studies presented during the parallel presentations. The 3 keynote speakers in #LAK17 seem to be embracing #multimodallity in different ways! #CrossLAK and #MMLA more relevant than ever? — Roberto Martinez (@RobertoResearch) 15…

Read More

The Dutch xAPI Specification for Learning Analytics (DSLA)

By | English, Learning Analytics | No Comments

Have you ever wanted to store the data collected from any learning environment in a standardised way but did not know how? Look no further, you are in the right place now! After working with xAPI for several years, we have compiled a registry of xAPI specifications for learning activities to support and highlight the consistent usage of xAPI recipes in the educational domain.

Read More

Big Data in Education – First episode

By | English | No Comments

Like in many other fields like healthcare, retail, telecommunications and natural science, Big Data and Analytics have become a new hype in Education and Learning under the umbrella name of “Learning Analytics”. As technology becomes ubiquitous and more accessible, as most of  the learning time is now spent on Massive Online Open Courses, vast quantities of data are continuously generated and stored in IT systems. These data offer unprecedented opportunities for researchers to analyse and understand several different aspects of learning and education. This data-driven approach is shaking the traditional paradigms of educational research:

Read More

Privacy and Analytics – a DELICATE issue. A checklist towards trusted Learning Analytics

By | Learning Analytics, personalisation | No Comments

The widespread adoption of Learning Analytics (LA) and Educational Data Mining (EDM) has somewhat stagnated recently, and in some prominent cases like the inBloom disaster even been reversed following concerns by governments, stakeholders and civil rights groups. In this ongoing discussion, fears and realities are often indistinguishably mixed up, leading to an atmosphere of uncertainty among potential beneficiaries of Learning Analytics, as well as hesitations among institutional managers who aim to innovate their institution’s learning support by implementing data and analytics with a view on improving student success. The LACE project conducted a series of Expert Workshops on Ethics and Privacy…

Read More

The LACE Evidence Hub

By | English | No Comments

The field of learning analytics (LA) has been growing steadily over the las few years. Many LA applications, widgets, dashboards etc. have been implemented and tested by a wide variety of institutions, i.e. at school level, within higher education and at the workplace. In order to get an overview on what works and what does not and to help anyone – whether they are students, teachers, manager, researchers or policymakers – wanting to make decisions about learning and teaching, the LACE project has set up an Evidence Hub for learning analytics.

Read More
Share with your friends










Submit
Share with your friends










Submit
Share with your friends










Submit
Share with your friends










Submit
Share with your friends










Submit