Analytics for Learning and Training

 Hands-on Workshop

Hosted by NSERC Industrial Research Chair on Adaptivity and Personalization in Informatics and Athabasca University Research Centre

Introduction

The Hands-on Workshop on Analytics for Learning and Training will provide both conceptual understanding as well as practical experience in using analytics in various learning and training scenarios. It is aimed at students, teachers and industry participants who are interested in improving learning in academia and training in industry by employing various analytics techniques to reliably measure competencies in various tasks and confidence levels of learners and trainees.

Requirement: Participants must bring their laptops for hands-on activities.

Registered participants have access to:

Workshop Presentations & Instructions

 

Registration

The workshop has limited seating capacity. The opportunity to participate will be available on a strictly first come, first served basis. The registration fee includes a welcome reception, access to all sessions, lunches during the workshop, and the networking dinner. Participants will also receive handouts for topics covered in various sessions. Registration fee details are:

Early bird, till June 15, 2016:

  • Cad$ 250 (+$28.88 Fee & taxes) = Total Cad$ 278.88

From June 16, 2016 onwards:

  • Cad$ 400 (+$45.83 Fee & taxes) = Total Cad$ 445.83

[Limited seats at Cad$ 50 (+$6.28 fee & taxes) registration fee available for Athabasca University employees and students. Please contact Dr. Kinshuk at kinshuk@athabascau.ca for discount registration code.]

 

Cancellation/Refund Policy

Registration fee refund requests must be received prior to Friday, July 15, 2016 in order to be considered. These refunds are subject to a $50 cancellation fee. Refunds will not be issued for requests received after Friday July 15, 2016.

 

Schedule

Day One (August 4, 2016)

6:00 PM – 8:00 PM Registration and Welcome Reception

Day Two (August 5, 2016)

8:00 AM – 8:30 AM Registration
8:30 AM – 8:45 AM Welcome Address
8:45 AM – 10:00 AM Session 1: Keynote Address

Ronghuai Huang
Dean, Smart Learning Institute of Beijing Normal University

Learning Analytics and Assessment for Authentic Learning Activities
The emerging technologies of big data, machine learning, and learning analysis ignited a new round of technology revolution, which has further unleashed an unprecedented capability for effective training and authentic learning based on insights from new types of evidence. China’s K-12 education is nowadays undergoing a comprehensive reform, which  synchronizes a transformation in national curriculum standards, text books, and college entrance examination (CEE). The new CEE puts more emphasis on assessment of comprehensive quality based on eportfolio with the following six dimensions: moral character, citizen literacy, learning ability, communication and cooperation, sports and health, aesthetic and performance. Therefore, the reform thirsts for accurate learning analytics of student’s complex competences in authentic learning scenarios. The speech first introduces the background of the new round of comprehensive reform in K-12 education of China, and advocates for learning analytics to be applied in teaching and for comprehensive quality assessment in authentic learning scenarios. Based on that, a possible model and solution of learning analysis catering for the comprehensive reform is proposed, and the role of learning analytics in authentic learning scenarios including both inside and outside school campus is further illustrated.

10:00 AM – 10:30 AM Networking and break
10:30 AM – 11:15 AM Session 2: Plenary

Vision of Analytics for Learning and Training

Kinshuk, NSERC Industrial Research Chair (Adaptivity and Personalization in Informatics), Professor and Associate Dean, Faculty of Science and
Technology, Athabasca University, Canada

Vive Kumar, Professor, School of Computing and Information Systems, Athabasca University, Canada

11:15 AM – 12.00 PM Session 3: Conceptual Understanding

Big Data Architecture of an Analytics Platform for Learning and Training

12:00 PM – 1:15 PM Networking lunch
1:15 PM – 2:15 PM Session 4: Hands-on

Analytics for Learning

[Participants will be provided with guest access to the Analytics platform]

  • Teacher dashboard
  • Regulation analytics
  • Competence analytics in learning (including rubric mapping and flow analysis)
2:15 PM – 3:00 PM Session 5: Conceptual Understanding

Emerging technologies in Analytics for Learning and Training

  • Causal analytics
  • Sentiment analytics
  • Virtual and Augmented reality
  • Experimental design analytics
  • Security & Privacy
3:00 PM – 3:30 PM Networking and break
3:30 PM – 5:00 PM Session 6: Hands-on

Analytics for Training

  • Trainer-Trainee dashboard
  • Competence analytics in Training
5:30 PM – 8:00 PM Networking Dinner

Day Three (August 6, 2016)

8:45 AM – 10:00 AM Session 7: Keynote Address

Alfred Essa
Vice President, R&D and Analytics, Digital Platforms Group, McGraw-Hill Education

The Future of Learning Systems
Recent advances in cognitive science, adaptive learning systems, and learning analytics present new opportunities for innovation in educational technology. The talk will review the current state of research and product development, and outline a future path for designing next generation learning systems.

10:00 AM – 10:30 AM Networking and break
10:30 AM – 12:00 PM Session 8: Conceptual Understanding

Propensity Score Analysis (PSA) applied in the analytics for learning and training

12:00 PM – 1:15 PM Networking Lunch
1:15 PM – 3:00 PM Session 9: Hands-on

Propensity Score Analysis Case Study (using R scripts)

3:00 PM – 3:30 PM Networking and break
3:30 PM – 4:45 PM Session 10: Discussion

Propensity Score Analysis: Insights, shortcomings and challenges (study habit model, causality, predictive modeling)

4:45 PM – 5:00 PM Conclusion