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Teaching with Grace: A Consequence-Free Augmented Classroom for Teaching Practice

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Pennsylvania Convention Center, 107AB

Participate and share: Interactive session
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Presenters

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Associate Professor
Hunter College School of Education
@rhondabondie1
Rhonda Bondie is the Director of the Hunter College Learning Lab and an associate professor in special education. Rhonda began teaching as an artist-in-residence and then spent over 20 years in urban public schools as both a special and general educator. Rhonda’s co-authored book, Differentiated Instruction Made Practical, is used by teachers in more than 30 countries to support their work of ensuring all learners are thriving every day. Rhonda’s research examines how teachers develop inclusive teaching practices and differentiated instruction expertise throughout their career using new technologies.

Session description

Teaching with Grace is the future of teacher education, a consequence-free practice space for teachers to provide student-centered feedback on their learning. Try out Teaching with Grace, alone or with colleagues, to receive instant feedback and focus attention on learning differences revealed through interacting with students.

Purpose & objective

The purpose of this session is to engage attendees in increasing their use of an evidence based practice, the Ladder of Feedback - comparing the data graphs of more than one trial. In addition, we will invite attendees to define equitable feedback and try to achieve equity through practicing with Teaching with Grace. Attendees will debrief there experience and consider the use of AI powered consequence-free practice spaces and issues of diversity with AI technology.

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Outline

1. Introduction to presenters, attendee colleagues, and affirmations (5 min)
2. Orientation to Teaching with Grace and the Ladder of Feedback (5 min)
3. Participants engage in Teaching with Grace (10 min)
4. Participants analyze their data from Trial 1 - and discuss with colleagues ways to increase the equity in feedback provided to avatar students. (10 min)
5. Participants engage in Trial 2. (10 min)
6. Quick comparison of experiences from Trial 1 and 2 (10 min)
7. Debrief and next steps ( 10 min)

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Supporting research

Bondie, R., Wiseman, E., Dede, C., Zusho, A. & Rich, D. (2022). Can Differentiated and Personalized Mixed Reality Simulations Transform Teacher Learning? Technology, Mind, and Brain.

Bondie, R., Mancenido, Z., & Dede, C. (2021). Interaction principles for digital puppeteering to promote teacher learning. Journal of Research on Technology in Education, 53(1), 107-123.

Bondie, R. & Dede, C. Redefining and transforming field experiences in teacher preparation through personalized mixed reality simulations. In R.E. Ferdig & K. E. Pytash (Eds.), What teacher educators should have learned from 2020. (pp. 229-242) Association for the Advancement of Computing in Education (AACE). http://www.learntechlib.org/p/219088/

Dede, C. & Bondie, R. (2022). What We Want Versus What We Have:
   Transforming Teacher Performance Analytics to Personalize Professional Development. In Moskal, P., Dziuban, C., Picciano, A. (Eds.), Data Analytics and Adaptive Learning: Research Perspectives. Routledge.

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Session specifications

Topic:
Artificial Intelligence
Grade level:
PK-12
Skill level:
Beginner
Audience:
Professional developers, Teachers, Teacher education/higher ed faculty
Attendee devices:
Devices useful
Attendee device specification:
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Participant accounts, software and other materials:
Attendees will log in with their email on the Teaching with Grace site during the session.
Subject area:
Language arts, Science
ISTE Standards:
For Educators:
Learner
  • Set professional learning goals to explore and apply pedagogical approaches made possible by technology and reflect on their effectiveness.
Collaborator
  • Dedicate planning time to collaborate with colleagues to create authentic learning experiences that leverage technology.
Designer
  • Design authentic learning activities that align with content area standards and use digital tools and resources to maximize active, deep learning.