Tuesday 28 November 2017

Data analytics: one call for papers, free research papers, and a free paper on libraries

BayLAN conference, UC Berkeley

Submission deadline December 15th, 2017 (submit here)
Conference date: February 24, 2018
Conference fee: students for free, professionals: 15 $
Can't make it to LAK'18 in Sydney? Want to meet Bay Area LA practitioners and researchers on your way south? BayLAN is a local network of researchers and professionals in the field of learning analytics. The BayLAN conference is a regional event designed to  facilitate the exchange of information, case studies, ideas, and early stage research in the field of learning analytics broadly construed.

The Bay Area Learning Analytics Network (BayLAN), in co-operation with SoLAR, is hosting the third annual BayLAN conference on February 24, 2018 at the University of California, Berkeley. The BayLAN conference brings together thought leaders from both industry and academia. Presentations and discussions will focus on current research at the intersection of education, data science, and technology.

Registration is free for students and $15 for professionals. To register click here:

BayLAN is currently accepting abstract submissions for the conference. Abstracts should report on research in the broad area of learning analytics.  Presentations may include technical work that applies data science or other quantitative methods to improve education, as well as interventions, methodologies, tools or technology that are intended to improve learning outcomes.
Suggested topics: 
  • Theoretical topics: cognitive science models about education, data science methods applied to learning, novel theories about learning
  • Lessons learned: After going through the learning analytics implementation process, share insights that have surfaced that affect the completion of the project
  • Innovative new tools/techniques: Share newly developed tools or approaches to learning analytics that have been implemented at an institution.
  • Application of standards: A project making use of data/analytics standards and illustrating the benefits of such an approach.
  • Collaboration and sharing: How are groups of institutions/practitioners partnering to solve shared problems in the learning analytics space?
The deadline for submission is December 15, 2017. Submit here 

Free papers on Big data available until 4 December 2018 (the free access is available until then)

Special Issue: Big Data in Robotics from Liebert publishing
This issue was guest edited by Jeannette Bohg, Matei Ciocarlie, Javier Civera, and Lydia E. Kavraki
FREE ACCESS through December 4, 2017. Read Now:
Big Data on Robotics
Jeannette Bohg, Matei Ciocarlie, Javier Civera, and Lydia E. Kavraki  Read Now
Recent Data Sets on Object Manipulation: A Survey
Yongqiang Huang, Matteo Bianchi, Minas Liarokapis, and Yu Sun  Read Now
Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution
Adrian Boteanu, Aaron St. Clair, Anahita Mohseni-Kabir, Carl Saldanha, and Sonia Chernova  Read Now
The KIT Motion-Language Dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour  Read Now
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics
Nathan Ratliff, Franziska Meier, Daniel Kappler, and Stefan Schaal  Read Now

Free paper on libraries from paper to cloudbased

With the open access discussion going strong as ever (great reflective article here on the goal of open access from Stephen Downes, in reply to Willey's view on open access).
IGI global has just released a free paper (downloading free papers seems like a good strategy) on library history from paper to cloudbased, with examples.

The library paper can be downloaded here (you must register for IGI global)

The abstract of this paper: A Library is an organized collection of resources made accessible to a defined community for reference or borrowing. It provides physical or digital access to material, and may be a physical building, or a virtual space, or both. During the last decays, the Libraries had witnessed a continuous revolution and still do. This paper reviews the main milestone of such revolution starting from the classical up to the current Cloud-based era passing by the intermediate digital transformation period. It reviews the library types, services, problems and drive of changes from the classical form. The paper then tackles the transformation of the library to the digital form. It discusses the characteristics of the digital library, the web-based library, and the library 2.0 through their advantages and limitations. The paper finally focuses on the current Cloud-based ear, where most of the library cloud platforms, services management, innovative products and opened environments are addressed through their features, add values, pros and cons. The paper also provides a comparative study on such solutions coming up with opened research issues. Hereby, the paper provides a comprehensive overview on the development of the library till now. 

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