Author Maren Scheffel

Maren Scheffel is an assistant professor within the Technology Enhanced Learning Innovations (TELI) department of the Open Universiteit’s Welten Institute, the Research Centre for Learning, Teaching and Technology. With a background in computational linguistics she started to work in the field of technology-enhanced learning in 2009 and has since then been involved in the coordination and management as well as the research work of several European projects. For her PhD that she obtained from the Open Universiteit in 2017, she developed the Evaluation Framework for Learning Analytics (EFLA).

Dear colleagues,  We are pleased to announce the launch of a MOOC based on the research outputs of the EU-funded project – SHEILA (Supporting Higher Education to Integrate Learning Analytics). If you’re looking to start or systematise the adoption of learning analytics in your institution, perhaps this MOOC is what you need to get ready for it. Moving towards Systematic Adoption of Learning Analytics in Higher Education is a three-week course planned for busy people who are looking to get a quick understanding of the state of the art of learning analytics in higher education and what to consider when developing an…

On 5th June 2018 the Conference on Supporting Higher Education to Integrate Learning Analytics (SHEILA) will be held in Brussels, Belgium. The conference is organised by the team of the EU-funded SHEILA project (http://sheilaproject.eu) that has developed a policy and strategy framework to support higher education institutions to integrate learning analytics. The conference is intended for a broad spectrum of stakeholders including but not limited to senior institutional managers, government representatives and officials, policy and decision makers, students, teachers, researchers, technology vendors, and non-for-profit organisations. The conference program will feature a keynote by Prof. Dr. Blazenka Divjak, Minister of Science…

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. But first things first. What is xAPI? The Experience API (xAPI) – formerly known as TinCan API – is a specification that captures data about learning events from all sorts of sources in a consistent format,…

The Learning Analytics Summer Insitute (LASI) local event in Zeist, on the 30th June and 1st July 2014, was organised by LACE coordinator Hendrik Drachsler (OUNL) and Alan Berg from the University of Amsterdam. What follows is a Storify report from that event, which included presentations and panel contributions from: Stefan Mol, Gábor Kismihók, Jeroen Donkers, Susanne Narciss, Hendrik Drachsler, Denise Whitelock and Marco Kalz. http://storify.com/m_a_s_c/lasi-nl-in-zeist

2nd Learning Analytics Summer Institute (#LASI_NL) in conjunction with the Computer Assisted Learning Conference CAA2014 (http://caaconference.co.uk/) 30.06. – 01.07.2014, near Utrecht at Woudschoten in Zeist, Netherlands Jointly organised by SURF SIG LA the https://www.surfspace.nl/sig/18-learning-analytics/ and the EU FP7 project LACE http://www.laceproject.eu Workshop website: http://lasiutrecht.wordpress.com Sign up here (Participation is free of costs):  http://www.surf.nl/agenda/2014/06/learning-analytics-summer-institute-lasi-2014/index.html ************************************************ Dear Learning Analytics enthusiasts, On the 30th of June until 1st of July, the 2nd Learning Analytics Summer Institute in the Netherlands (#LASI_NL) will be organised in conjunction with the Computer Assisted Learning Conference CAA2014 (http://caaconference.co.uk/). After a very successful LASI-Amsterdam in 2013, we wish to foster the Dutch Learning Analytics community and their research efforts with this local…

We at LACE are passionate about the opportunities afforded by current and future views of learning analytics (LA). One of the intended outcomes of the LACE project is the development of a framework of quality indicators for learning analytics that helps to standardize the evaluation of learning analytics tools. The framework will help answer the question how LA tools might be evaluated as having a desirable effect on learning. The approach we are following is inspired by the LinkedUp project that developed a comparable framework to evaluate Linked Data Applications in Education with that methodology. We would therefore like to invite you…