Time: April 25, 2016 8:30 AM – 4:30 PM
Location: Salisbury room, John McIntyre Conference Centre
Organizers: Sandra Milligan, Ulla Ringtved and Linda Corrin
Website: [link]

Abstract
This workshop is about the theory and practice of learning design for scaled courses. It aims to take stock of the field, assessing where it is up to, and where it might go next. Researchers from Australia, the Americas, Continental Europe and Britain will input research perspectives. The process is organised around a dynamic, structured conversation method, used to harness collective intelligence, and promote networking. Core questions are: Do scaled learning environments (as in MOOCs) represent a new paradigm for teaching? What challenges face learners in scaled learning environments? What challenge facing designers? What are priorities for action? For more information, visit the workshop website.

Time: April 25, 2016 8:30 AM – 4:30 PM
Location: Nelson room, St Leonard’s Hall
Organizers: Simon Buckingham Shum, Simon Knight, Danielle McNamara, Laura Allen, Duygu Bektik and Scott Crossley
Website: [link]

Abstract
Writing Analytics research and practice deploy computational analysis of student writing for the purpose of (i) understanding writing processes and products in their educational contexts, and (ii) delivering better feedback to learners and educators. The workshop reflects a distinctive LAK perspective, namely, a holistic approach in which the definition of “the system” and “success” is not restricted to IR metrics such as precision and recall, but recognizes the many wider issues that aid or obstruct analytics adoption in educational settings, such as theoretical and pedagogical grounding, usability, user experience, stakeholder design engagement, practitioner development, organizational infrastructure, policy and ethics. For more information visit the workshop website.

Time: April 25, 2016 8:30 AM – 4:30 PM
Location: Holyrood room, John McIntyre Conference Centre
Organizers: Tobias Ley, Ralf Klamma, Stefanie Lindstaedt and Fridolin Wild
Website: [link]

Abstract
The workshop on learning analytics for workplace and professional learning is organized recognizing the need for addressing the current rather fragmented character of research in this field. The LAK conference would provide an ideal venue for such undertaking as several existing groups are already active contributors to LAK without having currently a forum for addressing common challenges. At the same time, the workshop would benefit from the strong leadership on learning analytics in other sectors that LAK has established. The proposers have a strong background both in Learning Analytics, as well as in workplace learning. The workshop is backed by a number of current EU projects and initiatives that could provide sufficient channels for dissemination and activating participants. For more information visit the workshop website.

Time: April 25, 2016 8:30 AM – 4:30 PM
Location: St Trinnean’s room, St Leonard’s Hall
Organizers: Roberto Martinez-Maldonado, Davinia Hernandez-Leo, Abelardo Pardo, Dan Suthers, Kirsty Kitto, Sven Charleer, Naif Aljohani and Hiroaki Ogata
Website: [link]

Abstract
Students’ learning commonly occurs in spaces and at moments that go beyond formal education. Educational providers deploy a variety of educational resources in both online and face-to-face settings. It is of high relevance to the LAK community to explore blended learning scenarios where students can interact at diverse digital and physical learning spaces. The challenge is to find the best approaches that can be applied to automatically capture traces of students’ activity, and understand how learning analytics techniques can be used in heterogeneous contexts. This workshop aims to gather researchers across different communities, interested in ubiquitous, mobile and/or face-to-face learning analytics. An overarching concern is how to integrate and coordinate learning analytics to provide continued support to learning across digital and physical spaces. The workshop will focus on the following four themes: 1- Learning analytics across digital spaces, 2- Learning analytics bridging physical (and digital) spaces, 3- Mobile and ubiquitous learning analytics, and 4- Data integration of heterogeneous learning data sources. For more information visit the workshop website.

Time: April 25, 2016 8:30 AM – 12:00 PM
Location: Pollock room, St Leonard’s Hall
Organizers: Bodong Chen, Alyssa Wise, Simon Knight and Britte Cheng
Website: [link]

Abstract
Temporal analyses offer exciting new ways to gain insight into the processes through which learning occurs. The study of different learning patterns over time and their relationship to learning outcomes is a rapidly growing area of interest in the learning analytics community and beyond. However, while the literature on temporal analyses is developing, there has been dramatically less consideration of the methods by which temporal analyses might be put into practice, and translated to actionable insights. Emerging temporal analyses present both theoretical and practical challenges in appropriating suitable techniques for producing and interpreting results, especially those that can inform and be used by practitioners. This workshop aims to convene researchers, designers, educational practitioners and other stakeholders to explore these challenges and state-of-the-art perspectives, so as to put temporal analytics into practice effectively. For more information visit the workshop website.

Time: April 25, 2016 8:30 AM – 12:00 PM
Location: Duddingston room, John McIntyre Conference Centre
Organizers: Anthony Whyte, John Johnston and Prashant Nayak
Website: [link]

Abstract
Join us at the whiteboard for a Caliper metric profiles design jam. Together we’ll focus on describing learning activities and developing controlled vocabularies that extend the newly minted IMS Caliper Analytics specification. Caliper’s metric profiles are intended to provide both structure and shared meaning for learning data exchanged between systems. Yet only a limited set of profiles are currently available and much work remains to be done before Caliper’s metric profiles are deemed sufficiently comprehensive. So come with your questions, ideas, expertise and wisdom; we’ll facilitate the conversation and supply the dry erase markers and post-it notes. For more information visit the workshop website.

Time: April 25, 2016 1:00 PM – 4:30 PM
Location: Duddingston room, John McIntyre Conference Centre
Organizers: Tore Hoel, Alan Berg, Weiqin Chen, Adam Cooper, Hendrik Drachsler, Rebecca Ferguson, Gábor Kismihók and Maren Scheffel
Website: [link]

Abstract
Issues related to Ethics and Privacy have become a major stumbling block in application of Learning Analytics technologies on a large scale. The 2nd EP4LA@LAK16 workshop will bring the discussion on ethics and privacy for learning analytics to a the next level, helping to build an agenda for organizational and technical design of LA solutions, addressing the different processes of a learning analytics workflow. The Workshop at LAK16 will take stock of current ethics and privacy-led design for learning analytics and contribute to an agenda for large-scale implementations that goes beyond mere policy guidelines. The Workshop will develop an agenda for EP4LA-based design of organizational and technical infrastructures based on the recent awareness of the importance of ethical and privacy issues related to big data. Following the path of data sharing through the different processes of a LA system, e.g., Learning Activity, Data Collection, Data Storing and Processing, Analyzing, Visualization, and Feedback Actions, the objective of the Workshop is to give the participants inputs to build an agenda for ethics and privacy for all these processes. For more information, visit the workshop website.

Time: April 25, 2016 1:00 PM – 4:30 PM
Location: Pollock room, St Leonard’s Hall
Organizers: Jim Greer, Marco Molinaro, Xavier Ochoa and Timothy McKay
Website: [link]

Abstract
How can LAK build the case for instructional, curricular, or programmatic change and also foster acceptance of change processes?

This workshop will interest researchers and practitioners seeking to use Learning Analytics methodologies to understand, optimize and transformacademic courses, programs and curricula. The main topics covered in the workshop are measures of course, program, and curricular success, visualizations and dashboards, and intervention guidelines.

We seek contributions in the form of a 5-page paper about past or planned use of Learning Analytics to understand and improve curricula or programs. Evidence of impact or potential of your technology, methodology, tool or solution is important. For more information visit the workshop website.

Time: April 26, 2016 8:30 AM – 4:30 PM
Location: St Trinnean’s room, St Leonard’s Hall
Organizers: Susan Bull, Blandine Ginon, Judy Kay and Michael Kickmeier-Rust
Website: [link]

Abstract
This workshop will bring together researchers in learning analytics and open learner modelling to discuss and focus research towards learning analytics for use by learners, to further their learning. Workshop themes will include: learning analytics dashboards for learning; methods and techniques to collect learning analytics data; personalisation based on learning analytics; recommendations based on learning analytics data; open learner models; and use cases and applications in learning analytics for learners. Sessions will include interactive presentations of accepted papers, demonstrations and discussions focussed around the workshop themes. We aim to raise awareness of research in related fields, and help participants build on these and each other’s research. A primary goal is to foster new research collaborations. For more information visit the workshop website.

Time: April 26, 2016 8:30 AM – 4:30 PM
Location: Salisbury room, John McIntyre Conference Centre
Organizers: Xavier Ochoa, Marcelo Worsley and Sharon Oviatt
Website: [link]

Abstract
Learning is an innately multimodal activity. Multimodal Learning Analytics (MLA) seeks to expand the current scope of Learning Analytics, focusing on the analysis of learning processes that happen on the physical or physical/virtual world and require the capture, processing and analysis of more natural signals such as speech, writing, sketching, facial expressions, hand gestures, object manipulation, tool use, artifact building, etc. This workshop provides full access to multimodal datasets (and their relevant learning questions) to interested researchers. The main goal of the workshop is to introduce members of the Learning Analytic community to methodologies, techniques and tools to capture, process and analyze multimodal learning traces. For more information visit the workshop website.

Time: April 26, 2016 8:30 AM – 4:30 PM
Location: Pollock room, St Leonard’s Hall
Organizers: Martin Hlosta, Jakub Kuzilek, John Moore, Annika Wolff, and Zdenek Zdrahal
Website: [link]

Abstract
This interactive workshop session invites participants with diverse technical and non-technical skills to work together to consider how data literacy impacts on learning analytics, both for practitioners and for end users. Learning analytics outcomes can be targeted at a wide range of end users, some of whom will be young students and many of whom are not data specialists. This workshop will encourage the sharing of knowledge and experience on this topic through a mixture of paper presentations and practical hands-on activities with datasets and visualisations. For more information visit the workshop website.

Time: April 26, 2016 8:30 AM – 4:30 PM
Location: Duddingston room, John McIntyre Conference Centre
Organizers: Michail Giannakos, Demetrios Sampson, Łukasz Kidziński and Abelardo Pardo
Website: [link]

Abstract
The International Workshop of Smart Environments and Analytics on Video-Based Learning (SE@VBL) aims to connect research efforts on Video-Based Learning with Smart Environments and Analytics to create synergies between these fields. SE@VBL aims to develop a critical discussion about the next generation of video-based learning environments and their analytics, the form of these analytics and annotations, their visualizations and the way they can be used in order to help us to enhance specific pedagogical goals (engagement, awareness, self-assessment, etc.). This can have a significant impact in current video-based learning environments as well as educational trends such as Massive Open Online Courses (MOOCs) and Flipped Classroom. For more information visit the workshop website.

Time: April 26, 2016 8:30 AM – 12:00 PM
Location: Nelson room, St Leonard’s Hall
Organizers: Christopher Brooks, Craig Thompson and Vitomir Kovanovic

Abstract
The goal of this tutorial is to share data mining tools and techniques used by computer scientists with educational social scientists. We broadly define educational social scientists as being made up of people with backgrounds in the learning sciences, cognitive psychology, and educational research. The learning analytics community is heavily populated with researchers of these backgrounds, and we believe those that find themselves at the intersection of research, theory, and practice have a particular interest in expanding their knowledge of data-driven tools and techniques.

Time: April 26, 2016 8:30 AM – 12:00 PM
Location: Holyrood room, John McIntyre Conference Centre
Organizers: Lalitha Agnihotri, Shirin Mojarad, Nicholas Lewkow and Alfred Essa
Website: [link]

Abstract
The term “Exploratory Data Analysis” (EDA) was coined by John Tukey as an interactive and visual method for gaining rapid insights into data. This gentle hands-on workshop will introduce researchers and educational technology practitioners to Python and the Jupyter Notebook environment for exploratory data analysis. We will work with a variety of data sets, including educational data, to gain experience with the full cycle of EDA. The EDA methodology includes: ingesting and cleaning data, performing descriptive and inferential statistics, building visualizations, framing hypotheses, and creating predictive models. Pre-requisite: Some programming experience.

Time: April 26, 2016 1:00 PM – 4:30 PM
Location: Nelson room, St Leonard’s Hall
Organizers: Doug Clow, Rebecca Ferguson, Leah Macfadyen, Paul Prinsloo and Sharon Slade
Website: [link]

Abstract
As in many fields, most papers in the learning analytics literature report success or, at least, read as if they are reporting success. This is almost certainly not because learning analytics research and activity are always successful. Generally, we report our successes widely, but keep our failures to ourselves. As Bismarck is alleged to have said: it is wise to learn from the mistakes of others. This workshop offers an opportunity for researchers and practitioners to share their failures in a lower-stakes environment, to help them learn from each other’s mistakes.

Time: April 26, 2016 1:00 PM – 4:30 PM
Location: Holyrood room, John McIntyre Conference Centre
Organizers: Vladimer Kobayashi, Stefan Mol, Gábor Kismihók and Catherine Zhao
Website: [link]

Abstract
The workshop will serve as a venue to bring together researchers interested in advancing Goal Setting (GS) research in the Learning Analytics (LA) field. Topics include: GS theory and measurement; analysis and visualization of GS data; strategies for integrating GS in the learning experience; and implementation of GS technologies. Participants who need tools to execute their GS ideas and those who already have tools and are exploring better ways to integrate a goal setting feature can gain a lot from this workshop. Moreover, participants will have opportunity to contribute to the conceptualization and staging of GS ideas in LA research. For more information visit the workshop website.