These are the slides of my presentation at the Orphée Alpine Rendevous in Font Romeu on February 1, 2017. I was asked to participate in the meeting as an European expert in the field of technology enhanced learning. The participants worked on grand challenges in TEL the other days. In his presentation, Mike Sharples put the grand challenges in an European and international context. He presented a lot of reports, mainly from US or UK institutions about the challenges in TEL. Fridolin Wild, an expert in the fabrication of grand challenges from the STELLAR days reflected on the challenges. His presentation was about our joint WEKIT project on augmented reality and wearable technology industrial training. The WEKIT project has reached its second year and we are starting to develop our technology platform to support technology developers and training providers in AR and WELL (wearable enhanced learning).
After the presentations we had two panels. The first was to give feedback on the grand challenges and the second was to explore future funding opportunities. Here is a challenge, too, since the according EU unit has announced that there will be no TEL specific H2020 call in 2017.
*** Since 2012 also in Scopus ***
*** Since 2015 also in Emerging Sources Citation Index and Web of Science ***
IxD&A implements the Gold Open Access (OA) road to its contents
with no charge to the authors (submission & paper processing)
If you wish to help us in improving the quality of the journal, please donate:
• Davinia Hernández-Leo, Universitat Pompeu Fabra Barcelona
• María Jesús Rodríguez-Triana, École Polytechnique Fédérale of Lausanne
• Yishay Mor, independent consultant
• Paul Salvador Inventado, Carnegie Mellon University
• Deadline: May 20, 2017
• Notification to the authors: June 30, 2017
• Camera ready paper: July 30, 2017
• Publication of the special issue: end of September, 2017
Learning Design (LD) and Learning Analytics (LA) are both domains of research and action that aim to improve learning effectiveness.
Learning Design or, Design for Learning, is an emerging field of educational research and practice. Its practitioners are interested in understanding how the intuitive processes undertaken by teachers and trainers can be made visible, shared, exposed to scrutiny, and consequently made more effective and efficient. Arguably, most of the work in the field of LD has focused on the creative processes, on practices, tools and representations to support it, and on mechanisms for sharing its outputs between practitioners. Very little has been done in terms of the practices, tools and representations used for evaluating the effects of the designs. Several approaches emphasise top-down quality enhancement, which help designers to base their work on sound pedagogical principles. What is missing is the trajectory that would complete the feedback loop: the built-in evaluation of designs to see whether they achieved the expected outcomes.
Learning Analytics are about collecting and reporting data about learners and their contexts, for purposes of understanding and optimising learning environments. LA typically employ large datasets to provide real-time or retrospective insights about the effect and effectiveness of various elements and features of learning environments. Learning analytics are rooted in data science, artificial intelligence, and practices of recommender systems, online marketing and business intelligence. The tools and techniques developed in these domains make it possible to identify trends and patterns, and then benchmark individuals or groups against these trends. LA can help to identify at-risk learners and provide interventions, transform pedagogical approaches, and help students gain insight into their own learning.
How Learning Design may help Learning Analytics? According to situational approaches, one of the prerequisites to obtain relevant outputs is not to isolate the analysis of educational data from the context in which it is embedded. This tandem between LD and LA offers the opportunity to better understand student behaviour and provide pedagogical recommendations when deviations from the original pedagogical intention emerge addressing one of the challenges posed by LA.
How Learning Analytics may support Learning Design? Reciprocally, well-formulated learning analytics can be helpful to inform teachers on the success and outcomes of their learning designs. Learning analytics can provide evidences of the impact of a design in one or several learning situations in aspects such as engagement patterns in the activities proposed by the learning design, learning paths followed by the students, time consumed to complete the activities, etc.
To sum up, LD offers LA a domain vocabulary, representing the elements of a learning system to which analytics can be applied. LA in turn, offers LD a higher degree of rigor by validating or refuting assumptions about the effects of various designs in diverse contexts. There is a natural and synergistic relationship between both domains, which has led to a growing interest and some initial effort in bringing them together. However, making these links operational and coherent is still an open challenge.
Topics of Interest
This special issue solicits original research papers framing connecting learning design with learning analytics.
The main topics of interest are:
● Practical examples of synergies between LD and LA.
● Methods and tools for developing data-enriched learning design and / or design-aware learning analytics.
● Application domains for integrated LD-LA approaches, such as teacher inquiry, learning at scale, and self-determined learning.
● Theoretical and conceptual foundations, opportunities and challenges for synergies between LD and LA.
● Meta-models and mediating frameworks for connecting and correlating LD and LA.
● Utilising Design Patterns as such meta-models, and as boundary objects for all of the above.
Submission guidelines and procedure
All submissions (abstracts and later final manuscripts) must be original and may not be under review by another publication.
The manuscripts should be submitted either in .doc or in .rtf format.
All papers will be blindly peer-reviewed by at least two reviewers.
Authors are invited to submit 8-20 pages paper (including authors’ information, abstract, all tables, figures, references, etc.).
The paper should be written according to the IxD&A authors’ guidelines
Link to the paper submission page:
(Please upload all submissions using the Submission page. When submitting the paper, please, choose Domain Subjects under:
“IxD&A special issue on: ‘Connecting Learning Design with Learning Analytics’)
More information on the submission procedure and on the characteristics
of the paper format can be found on the website of the IxD&A Journal
where information on the copyright policy and responsibility of authors,
publication ethics and malpractice are published.
For scientific advice and queries, please contact any of the guest-editors below and mark the subject as:
IxD&A special issue on: Connecting Learning Design with Learning Analytics.
• davinia [dot] hernandez [at] upf [dot] edu
• maria [dot] rodrigueztriana [at] epfl [dot] ch
• yishaym [at] gmail [dot] com
• pinventado [at] cmu [dot] edu
Call for Papers EC-TEL 2017 The 12th European Conference on Technology-Enhanced Learning 12-15 September 2017, Tallinn, Estonia http://www.ec-tel.eu The European Conference on Technology-Enhanced Learning (EC-TEL) engages researchers, practitioners, educational developers, entrepreneurs and policy makers to address current challenges and advances in the field. This year’s theme of ‘Data Driven Approaches in Digital Education’ focuses on […]
Special Issue on MMDL (Multimodal Data for Learning) Journal of Computer Assisted Learning (JCAL) Impact factor: 1.679
*********************************************** CALL FOR JOURNAL PAPERS Special Issue on MMDL (Multimodal Data for Learning) Journal of Computer Assisted Learning (JCAL) Impact factor: 1.679 http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2729 Deadline of submissions: 08 May 2017 ************************************************ SCOPE ********* The transition of our world from an analog to a digital one affects all aspects of the society and also […]
IEEE MultiMediaCall for Papers: Special Issue “Multimedia Big Data Analytics in Technology Enhanced Learning” Using digital technologies in teaching and learning has created new challenges for data-based, evidence-driven teaching and learning anal…
Topic of the Special Track
Wearable technologies – such as smart watches, smart glasses, smart objects, smart earbuds, or smart garments – are just starting to transform immersive user experience into formal education and learning at the workplace. These devices are body-worn, equipped with sensors and conveniently integrate into leisure and work-related activities including physical movements of their users.
Wearable-technology Enhanced Learning (WELL) is beginning to emerge as a new discipline in technology enhanced learning in combination with other relevant trends like the transformation of classrooms, new mobility concepts, and cyber-physical systems. Wearable devices play an integral role in the digital transformation of industrial and logistics processes in the Industry 4.0 and thus demand new learning and training concepts like experience capturing, re-enactment and smart human-computer interaction.
This proposal of a special track is the offspring of the SIG WELL (http://ea-tel.eu/special-interest-groups/well/) in the context of the European Association for Technology Enhanced Learning (EATEL). It is a follow up proposal for the inaugural session we had at the iLrn 2015 in Prague. In the meantime, the SIG was successful in organizing a number of similar events at major research conferences and business oriented fairs like the EC-TEL, the I-KNOW and the Online Educa Berlin OEB. Moreover, the SIG has involved in securing substantial research funds through the H2020 project WEKIT (www.wekit.eu). The SIG would like to use the opportunity to present itself as a platform for scientific and industrial knowledge exchange. EATEL and major EU research projects and networks in the field support it. Moreover, we’ll seek to attach an IEEE standard association community meeting of the working group on Augmented Reality Learning Experience Models (IEEE ARLEM).
List of Topics
Industry 4.0 and wearable enhanced learning
Learning Analytics for Wearable technologies
Wearable technologies for health and fitness
Wearable technologies and affective computing
TEL applications of smart glasses, watches, armbands
Learning context and activity recognition for wearable enhanced learning
Body-area learning networks with wearable technologies
Data collection from wearables
Feedback from wearables
Learning designs with wearable technologies
Augmented Reality Learning
Ad hoc learning with wearables
Micro learning with wearables
Security and privacy for wearable technology enhanced learning
Collaborative wearable technology enhanced learning
Paper submission: February 1, 2017
Notification of authors: March 15, 2017
Full paper submission: April 15, 2017
Date of the conference: June 26-29, 2017
Contributing papers have to undergo a peer review process and will be included
in the conference proceedings, depending on the overall quality and special tracks chairs’ decision, either as a long paper (10 – 12 pages) or as a short paper (6 -8 pages). Excellent papers will be deemed full papers (14 pages) and included in the Springer proceedings. Authors of selected papers will also be invited to extend their contribution and to be published in a special issue of the JCR-indexed Journal of Universal Computer Science.
Ilona Buchem, Beuth University of Applied Sciences Berlin, Germany
Ralf Klamma, RWTH Aachen University, Germany,
István Koren, RWTH Aachen University, Germany
Fridolin Wild, Oxford Brookes University, UK
Alla Vovk, Oxford Brookes University, UK
Tentative Program Committee (t.b.c.)
Mario Aehnelt, Fraunhofer IGD Rostock, Germany
Davinia Hernández-Leo, Universitat Pompeu Fabra, Spain
Carlos Delgado Kloos, UC3M, Spain
Elisabetta Parodi, Lattanzio Learning Spa, Italy
Carlo Vizzi, Altec, Italy
Mar Perez Sangustin, Pontificia Universidad Católica de Chile, Chile
Isa Jahnke, University of Missouri-Columbia, USA
Mikhail Fominykh, Europlan, UK
Puneet Sharma, University of Tromso, Norway
Yishay Mor, Levinsky College of Education, Israel
Tobias Ley, Tallinn University, Estonia
Peter Scott, Sydney University of Technology, Australia
Victor Alvarez, Murdoch University, Australia
Agnes Kukulska-Hulme, The Open University, UK
Carl Smith, Ravensbourne University, UK
Victoria Pammer-Schindler, Graz University of Technology &Know-Center Graz, Austria
Christoph Igel, CeLTech, Germany
Peter Mörtel, Virtual Vehicle, Austria
Brenda Bannan, George Mason University, USA
Christine Perey, Perey Consulting, Switzerland
Kaj Helin, VTT, Finland
Jana Pejoska, Aalto, Finland
Jaakko Karjalainen, VTT, Finland
Joris Klerxx, KU Leuven, Belgium
Marcus Specht, Open University, Netherlands
Roland Klemke, Open University, Netherlands
Will Guest, Oxford Brookes University, UK
CALL FOR PAPERS BigScholar 2017 The 4th WWW Workshop on Big Scholarly Data: Towards the Web of Scholars http://thealphalab.org/bigscholar/A workshop of WWW 2017 (The 26th International World Wide Web Conference) Perth, Australia, April 3-7, 2017 Resear…
***Call for papers*** 6th Workshop on Awareness and Reflection in Technology Enhanced Learning (ARTEL 2016) to be held in the context of the EC-TEL 2016, Lyon, France: 13 September 2016 (Tuesday). Workshop webpage: http://teleurope.eu/artel16 Twitter hashtag: #artel16 *Rationale* Awareness and reflection are viewed differently across the disciplines informing Technology-Enhanced Learning (CSCW, psychology, educational sciences, computer […]
Call for Papers Connecting Learning Analytics and Learning Design (CLAD 2016) Workshop @ EC-TEL http://clad2016.ld-grid.org/ #clad16 In conjunction with EC-TEL 2016 at Lyon (France) | September 13-16, 2016 http://www.ec-tel.eu *Important Dates* ————————————– 10 May 2016: Start open submission 15 June 2016: End open submission 30 June 2016: Peer review submission deadline 15 July 2016: Notification […]