Wednesday November 25: Presenters from UMIT in Austria

We’ll be having an off-cycle LAVA meeting today, November 25th, at 11:30am, where we will have presenters join us from UMIT in Austria!

Elske Ammenwerth, Eva Kaczko, Verena Dornauer, and Lisa-Maria Norz, members ofLACOI: Representation of a Community of Inquiry in Cooperative Online-based Courses through Learning Analytics will join us to share their work and to learn about the LAVA community. We will learn about the ongoing Learning Analytics Community of Inquiry project and some details about specific research avenues of that project including: regulation of learning in CoI (Community of Inquiry), Cognitive presence – toward automatic measurement, and Social presence – toward automatic measurement by social network analysis. Following an initial presentation and discussion from LACOI, members from LAVA will also share some of their work and projects.

Some more information about LACOI, from the project website: https://iig.umit-tirol.at/index.php/en/projects/24-ongoing-projects/263-2020-2023-lacoi-representation-of-a-community-of-inquiry-in-cooperative-online-based-courses-through-learning-analytics

Wider research context: From a socio-constructivist point of view, learning requires activity, self-regulation, and cooperation among students. Online-based learning environments in higher education offer great flexibility to students, but are challenging in fostering such cooperative learning. The Community of Inquiry (CoI) is an established and effective framework on fostering effective cooperative learning in virtual learning environments. Learning Analytics provides approaches to measure the CoI. However, an automated analysis and visualization approach of the CoI is still lacking which prevents real-time monitoring of courses. In addition, it is unclear which actionable advice can be derived from CoI analysis to directly improve teaching and learning. Our idea is to build CoI dashboards using learning analytics. We will then evaluate whether this has an impact on teaching, learning process, or learning outcome.

Research questions:

  1. Is it possible to develop a comprehensive, automated representation and visualization of the Community of Inquiry (CoI) and its three dimensions for individual online-based courses by combining and extending approaches from learning analytics?
  2. Does the visualization of the CoI in a teacher dashboard, combined with actionable advice, has any impact on teaching?
  3. Does the visualization of the CoI in a student dashboard, combined with actionable advice, has any impact on student self-regulation, learning process, or learning outcome?

If you’d like to attend future meetings, be added to the email list, or would like to present to the LAVA group, please contact Alison (alison.myers@sauder.ubc.ca).

CANCELLED – Wednesday October 28: Alison Myers

There will be no meeting on Wednesday October 28th due to some last minute changes.

Our next LAVA meeting will be on Wednesday October 28th from 3-4pm (Vancouver time), on Zoom. Alison will be following up on her presentation from last week with a beginner-friendly introduction on Tableau. Join us on Wednesday – all skill levels welcome!

If you’d like to attend future meetings, be added to the email list, or would like to present to the LAVA group, please contact Alison (alison.myers@sauder.ubc.ca).

 

Wednesday October 14: Alison Myers

Our first fall LAVA meeting will be next Wednesday October 14 from 3-4pm (Vancouver time), on Zoom. In honor of the virtual Tableau conference Alison will be giving a Tableau demo!

From Alison:

I will very briefly go over the basics of Tableau, but will spend most of the time talking about some of the new features of Tableau 2020.3 (ahem, dynamic parameters), as well as some good old Tableau tips and tricks that I use. If there is anything you are curious about or would like me to cover either you can let me know in advance or I can try to answer during the session.

The final 20 minutes will be saved for Q/A, open discussion and sharing Tableau tips/tricks

Other Resources

We walked through this LAVA Demonstration workbook: https://public.tableau.com/profile/alison.myers3113#!/vizhome/LAVADemoWorkbook2020-10-14/StudentInfo

This is a great workbook to pick apart to understand more options for how to work with set and parameter actions! https://public.tableau.com/en-gb/profile/andy.kriebel#!/vizhome/SetParameterActionsCatalog/ColoringBetweenTwoDateswithSetAction

 

 

Wednesday August 19: Craig Thompson

Our LAVA meeting this week (Wednesday August 19, 3-4pm PT, on Zoom) will be lead by Craig Thompson from the UBC Learning Analytics Project.

At this session, Craig will present on the newly developed Student Time Zones tool:

Student Time Zones Tool Guide

From Craig: This is a new LTI tool, developed by Andrew Gardener and Justin Lee, to give instructors an early insight into students’ scheduling availability this fall. We’ll briefly walk through the tool, and then open the floor for comments, suggestions, and discussion.

If you would like to attend but are not part of the LAVA emailing list, please contact Alison Myers (alison.myers@sauder.ubc.a) for the Zoom information. You can also request that Alison add you to the LAVA mailing list, where we share information about upcoming LAVA sessions.

Wednesday August 5: Dr. Andrew Gibson

Our LAVA meeting next week (Wednesday August 5, 3-4:30pm PT, on Zoom) will be led by Dr. Andrew Gibson from Queensland University of Technology.

Presentation description (originally posted here):

Andrew Gibson from Queensland University of Technology (QUT) will outline recent research work that uses Reflective Writing Analytics (RWA) to help gain insights into pre-service teachers capacities with respect to assessment. The research involves capturing regular personal reflections from pre-service teachers over a period of time using web-based software called GoingOK. These reflections are analysed using natural language processing technologies, in a socio-technical pragmatic approach where socio-cultural interpretive research informs the development of the analysis, and iterations of analytics inform the emergence of the interpretation. Andrew will provide examples of the RWA and present a case for using similar approaches in other learning analytics research.

If you would like to attend but are not part of the LAVA emailing list, please contact Alison Myers (alison.myers@sauder.ubc.a) for the Zoom information. You can also request that Alison add you to the LAVA mailing list, where we share information about upcoming LAVA sessions.

Wednesday July 8: Firas Moosvi

Our LAVA meeting this week (Wednesday July 8, 3pm PT) was led by Firas Moosvi. Firas presented on Dash, its features, and how to get an app up and running.

Links below:

Slides

Github Repo

If you would like to attend future LAVA sessions but are not part of the emailing list, please contact Alison Myers (alison.myers@sauder.ubc.a) for the Zoom information. You can also request that Alison add you to the LAVA mailing list, where we share information about upcoming LAVA sessions.

Wednesday June 24: Gabriel Smith and Warren Code

Our LAVA meeting this week (Wednesday June 24, 3pm PT, on Zoom) will be led by Gabriel Smith and Warren Code from the Faculty of Science. They will be presenting “Difficulty and Gender Analysis of Course Grades: A Dashboard”

From Gabriel and Warren:

Inspired by the work of the SEISMIC group (https://sites.google.com/umich.edu/SEISMIC/working-groups/key-projects) on demographic effects in introductory STEM courses, we have developed a dashboard (in R Shiny) to explore course performance in introductory courses in the Faculty of Science relative to grade averages over other courses taken, both in general for a course to give a sense of the relative “difficulty” of a course, and also with respect to the gender of the students.  With data drawn from 1st and 2nd year Science courses across a sample of recent years, we will provide a live demonstration of our dashboard (with obfuscated course names) which has a “macro” level to show patterns in disciplines or types (lecture vs. lab) of courses and a “micro” level to drill down into one chosen course at a time.  We will discuss our choices in visualization and modelling in adapting the approach of the SEISMIC group, and offer a brief overview of trends we have observed so far.

If you would like to attend but are not part of the LAVA emailing list, please contact Alison Myers (alison.myers@sauder.ubc.a) for the Zoom information. You can also request that Alison add you to the LAVA mailing list, where we share information about upcoming LAVA sessions.

Wednesday June 10: Fabian Froehlich

Our LAVA meeting this week (Wednesday June 10, 3pm PT, on Zoom) will be led by Fabian Froehlich.

Fabian Froehlich joined the Faculty of Education as a graduate student in 2018. Specializing in Media & Technology Education Studies Fabian’s research focuses on inclusive instructional design through educational technology. He is a SOTL-specialist (Scholarship of Teaching and Learning) at the Centre of Teaching and Learning Technology and worked for the Learning Analytics Team of UBC as a videographer.

From Fabian:

The presentation summarizes findings of my master-thesis: social network analysis as a progressive tool for learning analytics. In order to investigate the following research question: “Do students presented with social network analysis data on online course discussions adjust their engagement behavior?”. A quasi-experiment was conducted relying on an embedded mixed-method research design. Students (n=18) participated in three online discussions. Two online discussions allowed students to access social network analysis visualizations through Threadz, a Canvas plugin. The overall inquiry focuses on how this exposure of learning analytics data might influence the students. 

—-

If you would like to attend but are not part of the LAVA emailing list, please contact Alison Myers (alison.myers@sauder.ubc.a) for the Zoom information. You can also request that Alison add you to the LAVA mailing list, where we share information about upcoming LAVA sessions.

 

Wednesday May 27, 2020: Craig Thompson

Next week (Wednesday May 27th, 3pm), Craig Thompson from the Learning Analytics Team will be leading our LAVA session,  where he will share some recent work done to analyze course enrolment patterns.

We will be meeting in a Zoom meeting room. For more information and access to the Zoom meeting, please contact Alison Myers

From Craig:

The aim of the work was to uncover groupings of courses that students commonly took while pursuing an undergraduate Biology degree at UBC. This analysis will be used to inform curricular review, for example by highlighting unofficial specializations that students are choosing, which could become officially supported and recognized degree variants. This presentation will include an overview of relevant data mining theory and algorithms, as well as specific findings from applying these methods to course enrolment data at UBC.