Deep Learning through Peer Review with · •Creating the assignment offline •Creating the...

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Transcript of Deep Learning through Peer Review with · •Creating the assignment offline •Creating the...

Page 1: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands
Page 2: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Deep Learning through Peer Review with

© 2019 Tracy L. Norton

Page 3: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Roadmap

• Assumptions in the interest of time

• Peerceptiv

• Creating the assignment offline

• Creating the assignment online

• Student experience online and offline

Page 4: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Assumptions by show of hands• Online education works. (Cloud LearningTM)

• Hybrid education works. (Cloud and Ground LearningTM)

• You can do things in the cloud that you can’t do on the ground.

• Writing facilitates deep learning in any course.

• Student don’t do enough writing in law school.

• Well-crafted peer review is valuable for students who review and for students who are reviewed.

• Math is true whether you understand it or not.

Page 5: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Peerceptiv• Research-validated statistically reliable peer review platform

• Process• Authors upload a document anonymously.

• Reviewers evaluate four peers’ submissions using a provided rubric on which they are trained.

• Authors evaluate their reviews for helpfulness.

• Grade (variable percentages)• Writing grade (Norton set 20-30%)

• Reviewing grade (Norton set 50-60%)

• Task grade

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Peerceptiv in Cloud/Ground Courses

• Works in all three (cloud, ground, cloud/ground)

• Takes peer review out of the classroom, where time is limited.

• Allows students to complete an assignment that requires several steps close in time.

• Gives students feedback between class meetings.

• Can be administered as a blended assessment or a single-location assessment (training on the ground or in the cloud).

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Creating the assignment offline

• You’ll need:• Writing prompt

• Model answer or guideline for an answer

• Rubric

• Peerceptiv account

• List of students with email addresses (optional)

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Creating the assignment online

Page 9: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Creating the assignment online

Page 10: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Creating the assignment online

Page 11: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Creating the assignment online

Page 12: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Creating the assignment online

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Creating the assignment online

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Student experience on the ground

• Introduce Peerceptiv and get buy-in.

• Do a Peerceptiv demo.

• Go through the assignment with them.

• Give them a sample assignment with sample good/bad reviews.

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Student experience in the cloud

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Student experience in the cloud

Page 17: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Student experience in the cloud

Page 18: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Student experience in the cloud

Page 19: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Student experience in the cloud

Page 20: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Student experience in the cloud

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Student experience in the cloud

Page 22: Deep Learning through Peer Review with · •Creating the assignment offline •Creating the assignment online •Student experience online and offline. Assumptions by show of hands

Student experience in the cloud

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Student experience in the cloud

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Student experience in the cloud

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Results after two years (anecdotal)

• Students’ skills are comparable between FTD and Flex.

• Students’ skills exceed FTD students without Peerceptiv.

• Student resistance falls away after the first couple of assignments.

• You get better mileage with multiple professor use.

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