Careers – Start here

Play media comment.

Each of you is responsible for planning your career and navigating a successful career path. No class will do that for you – and nobody else. This module gives a little nudge in that direction through:

Career Inquiry project
Sharing resources with peers – adding resources to the Career Resources page

The Career Resources Page is open for editing. Please add resources that fit your interests or career. We plan to share this page with other MA students in LDT programs, so help us make it something valuable!

Careers in Learning Design and Technology

You are invited to contribute to this Careers resource page, with a planned December rollout to all LDT students through our LDT Resources advisement site.

The editing is open. Give yourself credit as a contributor with name and date.

PROJECT 2 (for a grade)

- Due Oct 27, 2019 by 11:59pm
- Points 20
- Submitting a website url

Complete your second Major Project by selecting one of the project types and following its respective rubric.

Submit the report as a link to a blog post or Google doc. For Google docs, set the Sharing permission to Public for peer review and instructor feedback.

Thanks!

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Data Literacy Project

I chose to interview a number of people on the CU Boulder campus with regard to data analytics in conjunction with the use of Canvas on the CU Boulder campus. I was surprised to see that the reporting within Canvas was not as robust as they would like and that there are a number of other ways they gather data to help find the data they need in order to locate training needs and areas for improvement. Check it out here.

Shawna Stushnoff , Oct 27, 2019 at 9:13pm

Instructor Review

Again, awesome work, Shawna- So glad you’re out about talking to people. Good data sources! I can see that you’ve learned the value of different forms of data, people, literature, Web discourse, analytics, etc. It all comes together if we’re open to it!

Brent , Dec 4, 2019 at 9:50pm

Thanks, I enjoyed getting to speak to different people on campus and having it linked to a course assignment made it much easier to get time with them!

Shawna Stushnoff , Dec 5, 2019 at 3pm

Peer Reviews

Karen Gonzales (She/Her)

Oct 28, 2019 at 1:49pm

Nice job on your data literacy project, Shawna. It’s always interesting to hear how Canvas is being used at institutions outside of my own. So many things that Viktoriya mentioned in her interview I see at my own institution, especially obstacles with faculty adoption. I also agree that Canvas reports aren’t very robust. Do you know if the Spring Canvas survey that she mentioned is faculty or student directed?

Aisha’s interview was so helpful for me to hear for my own job. Learning how to use Canvas APIs has been on my to-do list for some time. Hearing how they are using it at CU Boulder reaffirms that fact that I need to get on the ball with learning it!

Lots of good information shared throughout your project summary and the interviews. The only suggestion that I have would be for editing the audio interviews, especially the first one. I think the breaks of silence may be a few seconds too long. I would suggest either making the breaks shorter or adding some transition music or sound effects. The breaks were smoother in Aisha’s interview. Other than that minor issue, I think you did great job with a different twist on this project! Thank you for sharing!

Amanda Hardman

Oct 29, 2019 at 10:16am

Shawna, interviewing is an interesting way to approach this project, as interviews in qualitative data, which needs to be presented differently than quantitative data. Sharing excerpts of the interviews is a great way to begin to share information, as well as pulling out your interpretations on the significant points of the interviews. This is akin to sharing the “raw data” and interpretation/discussion for quantitative data. What challenges did you have in the process of determining how to present interview/qualitative data? Did any of the sources provide you with examples of the quantitative data pulled from Canvas that supported their own conclusions about the affordances vs. limitations of the LMS (perhaps even compared to the prior LMS of D2L–I have not found data reporting to be easy in D2L, either)?

I am curious about the purpose of the data literacy project. The purpose I see is to “glean real time information on how they have collected and used data to support the adoption of Canvas as a learning management system.” If the migration to Canvas occurred a couple of years ago, is the purpose still to support adoption? Is there a chance that the university will decide to switch to a different LMS if the data shows that Canvas is not being used optimally?