InstructureCon 2014: Using the Canvas API for Faculty Feedback

Post on 29-Jun-2015

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When it comes to collecting data about students, Canvas Analytics rocks! But faculty need feedback, too. We’ll take a look at our “grading analytics” system that uses the Canvas API to give faculty quantitative feedback on their use of Canvas. Learn how one school uses data to support teaching and learning.

Transcript of InstructureCon 2014: Using the Canvas API for Faculty Feedback

Using the API for Faculty Feedback

Seth BattisSt. Mark’s School

St. Mark’s School

• Intentionally small boarding school

• 350 high school students

• 75 “triple threat” teachers

• 1,500+ devices on wifi

Seth Battis

• Director of Academic Technology

• Math Department Chair

• Sometime History Teacher

• Former Middle School Principal

• Ex-Outdoor Educator

• Lousy Baseball Coach

The ideal college is Mark Hopkins on one end of a log and a student on the

other.

James Garfield

Canvas Expectations for Faculty

• Post all assignments to Canvas

• Post all grades on assignments to Canvas

Whirlwind of Preparation Last Spring

• Canvas roll-out as a “shadow” LMS

• Unconference with faculty, students, Instructure on digital workflows

• In-person, flipped and online training sessions for faculty

• Built our own Blackboard-to-Canvas migration tool

• Workshops and drop-ins for students and faculty

• “Tech Tips” knowledge base

• Oh yeah… and we also rolled out Google Apps for Education at the same time.

Student Learning a cycle

Faculty Learning not quite a cycle

• What is our desired outcome?

• Efficient communication of student progress and responsibilities to support learning, teaching and advising.

• What are measurable indicators?

• Assignments (responsibilities)

• Grades (progress)

• How do we adjust in response to measurement?

Faculty Feedback

For every course, every day…

• Total number of assignments due (through today)

• Total number of undated assignments.

• Total number of grade-able (non-zero) assignments (through today).

• Total number of zero-point assignments.

• Total number of grade-able assignments for which student work has been graded.

• The oldest ungraded grade-able assignment.

• Average (per submission) turn-around time between due date and grade posting.

• Average (per assignment due through today) percentage of submissions graded.

• And a miscellany of contextual information.

Turn-around Comparison

whole school

Turn-around Comparison

department

How do we adjust in response to measurement?

• Look for outliers

• Investigate

• Consult

• Make a plan

• Check back

What have we learned from this?

• Canvas is a (sometimes weak) proxy for real life.

• Some teachers do need personal invitations.

• Some teachers are pushing the envelope (in good ways).

• Data provides helpful context for anecdotes.The plural of anecdote is not “data.”

• As a faculty, our students would benefit from a larger conversation around feedback and assessment.

Areas for Further Exploration

• Window between posting and due date

• Gradebook math

• Getting teachers “into” analytics

• Developing distributed leadership

“Calling all heroes…”

• St. Mark’s faculty, IT and administration

• John DeFonzo & Travis Cornes’ instant responses

• Cortny Lyon & Patrick Colclough’s advocacy

• Hilary Scharton’s data geekery and encouragement

• Kevin Reeve: Using Analytics to Keep Students on Track5pm today Chistopher Davis: Use of Canvas Analytics to Improve Student Success

• John Louviere: API for the Rest of Us

• “Build your own awesome”

Useful Links

• github.com/smtech/canvas

• SethBattis@stmarksschool.org

• @battisexperiencing significant tweet-fade