Design Thinking with AI for Online Instruction

Ellen Ramsey; JéVaughn J. Lancaster

Design Thinking with AI for Online Instruction

Research output: Contribution to conference › Conference session

Abstract

Brief Abstract

This Asynchronous Discovery Session is geared toward fostering collaboration and reflection among faculty using AI-powered tools. Cultivating a culture of sharing best practices, insights, and reflections on AI-generated data and feedback should encourage faculty to engage in reflective practice and use AI-generated insights to improve their teaching strategies.

Extended Abstract

Encouraging collaborative learning and reflection among faculty using AI-powered tools can have a significant impact on the quality of teaching and learning in educational institutions. AI-powered tools can provide valuable insights and data that can help faculty members make informed decisions about their teaching practices and strategies.

Several ways that AI-powered tools can be utilized to encourage collaborative learning reflection among faculty include facilitating online discussions, proving personalized feedback, analyzing data, and creating virtual communities to connect and share resources.

To promote a culture of sharing best practices, ideas and reflections on AI data and feedback, institutions can encourage teachers to participate in regular professional development sessions and workshops. These sessions can focus on using AI-powered tools and technologies to enhance teaching and learning outcomes, and on how to analyze and interpret AI-generated data.

Faculty members can also be encouraged to engage in reflective practice, which involves critically examining their own teaching practices and strategies to identify areas for improvement. By using AI-generated insights to inform their reflective practice, faculty members can gain a better understanding of their students' learning needs and tailor their teaching strategies accordingly.

One example to be included: participants engage in a design-thinking workshop where they collaborate in teams to brainstorm and prototype innovative ideas for using AI in online instruction. Utilizing design-thinking principles, challenges and opportunities in online blended learning can be identified to ideate creative solutions that leverage AI. Teams then present their prototypes and take part in discussions on the potential impact of their solutions. Throughout this session we will share how we have adapted to AI and take the opportunity to have an open discussion with the attendees.

Original language	American English
State	Published - Oct 2023
Event	Online Learning Consortium (OLC) Accelerate Conference - Virtual Duration: Oct 3 2023 → Oct 5 2023

Conference

Conference	Online Learning Consortium (OLC) Accelerate Conference
Abbreviated title	OLC
Period	10/3/23 → 10/5/23

Access to Document

http://spiral.lynn.edu/facpubs/1292

1 Conference session

Design Thinking with AI for Online Instruction
Ramsey, E. & Lancaster, J. J., Feb 27 2024.
Research output: Contribution to conference › Conference session

Open Access
File

Cite this

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title = "Design Thinking with AI for Online Instruction",

abstract = "Brief Abstract This Asynchronous Discovery Session is geared toward fostering collaboration and reflection among faculty using AI-powered tools. Cultivating a culture of sharing best practices, insights, and reflections on AI-generated data and feedback should encourage faculty to engage in reflective practice and use AI-generated insights to improve their teaching strategies. Extended Abstract Encouraging collaborative learning and reflection among faculty using AI-powered tools can have a significant impact on the quality of teaching and learning in educational institutions. AI-powered tools can provide valuable insights and data that can help faculty members make informed decisions about their teaching practices and strategies. Several ways that AI-powered tools can be utilized to encourage collaborative learning reflection among faculty include facilitating online discussions, proving personalized feedback, analyzing data, and creating virtual communities to connect and share resources. To promote a culture of sharing best practices, ideas and reflections on AI data and feedback, institutions can encourage teachers to participate in regular professional development sessions and workshops. These sessions can focus on using AI-powered tools and technologies to enhance teaching and learning outcomes, and on how to analyze and interpret AI-generated data. Faculty members can also be encouraged to engage in reflective practice, which involves critically examining their own teaching practices and strategies to identify areas for improvement. By using AI-generated insights to inform their reflective practice, faculty members can gain a better understanding of their students' learning needs and tailor their teaching strategies accordingly. One example to be included: participants engage in a design-thinking workshop where they collaborate in teams to brainstorm and prototype innovative ideas for using AI in online instruction. Utilizing design-thinking principles, challenges and opportunities in online blended learning can be identified to ideate creative solutions that leverage AI. Teams then present their prototypes and take part in discussions on the potential impact of their solutions. Throughout this session we will share how we have adapted to AI and take the opportunity to have an open discussion with the attendees. ",

author = "Ellen Ramsey and Lancaster, {J{\'e}Vaughn J.}",

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language = "American English",

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T1 - Design Thinking with AI for Online Instruction

AU - Ramsey, Ellen

AU - Lancaster, JéVaughn J.

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N2 - Brief Abstract This Asynchronous Discovery Session is geared toward fostering collaboration and reflection among faculty using AI-powered tools. Cultivating a culture of sharing best practices, insights, and reflections on AI-generated data and feedback should encourage faculty to engage in reflective practice and use AI-generated insights to improve their teaching strategies. Extended Abstract Encouraging collaborative learning and reflection among faculty using AI-powered tools can have a significant impact on the quality of teaching and learning in educational institutions. AI-powered tools can provide valuable insights and data that can help faculty members make informed decisions about their teaching practices and strategies. Several ways that AI-powered tools can be utilized to encourage collaborative learning reflection among faculty include facilitating online discussions, proving personalized feedback, analyzing data, and creating virtual communities to connect and share resources. To promote a culture of sharing best practices, ideas and reflections on AI data and feedback, institutions can encourage teachers to participate in regular professional development sessions and workshops. These sessions can focus on using AI-powered tools and technologies to enhance teaching and learning outcomes, and on how to analyze and interpret AI-generated data. Faculty members can also be encouraged to engage in reflective practice, which involves critically examining their own teaching practices and strategies to identify areas for improvement. By using AI-generated insights to inform their reflective practice, faculty members can gain a better understanding of their students' learning needs and tailor their teaching strategies accordingly. One example to be included: participants engage in a design-thinking workshop where they collaborate in teams to brainstorm and prototype innovative ideas for using AI in online instruction. Utilizing design-thinking principles, challenges and opportunities in online blended learning can be identified to ideate creative solutions that leverage AI. Teams then present their prototypes and take part in discussions on the potential impact of their solutions. Throughout this session we will share how we have adapted to AI and take the opportunity to have an open discussion with the attendees.

AB - Brief Abstract This Asynchronous Discovery Session is geared toward fostering collaboration and reflection among faculty using AI-powered tools. Cultivating a culture of sharing best practices, insights, and reflections on AI-generated data and feedback should encourage faculty to engage in reflective practice and use AI-generated insights to improve their teaching strategies. Extended Abstract Encouraging collaborative learning and reflection among faculty using AI-powered tools can have a significant impact on the quality of teaching and learning in educational institutions. AI-powered tools can provide valuable insights and data that can help faculty members make informed decisions about their teaching practices and strategies. Several ways that AI-powered tools can be utilized to encourage collaborative learning reflection among faculty include facilitating online discussions, proving personalized feedback, analyzing data, and creating virtual communities to connect and share resources. To promote a culture of sharing best practices, ideas and reflections on AI data and feedback, institutions can encourage teachers to participate in regular professional development sessions and workshops. These sessions can focus on using AI-powered tools and technologies to enhance teaching and learning outcomes, and on how to analyze and interpret AI-generated data. Faculty members can also be encouraged to engage in reflective practice, which involves critically examining their own teaching practices and strategies to identify areas for improvement. By using AI-generated insights to inform their reflective practice, faculty members can gain a better understanding of their students' learning needs and tailor their teaching strategies accordingly. One example to be included: participants engage in a design-thinking workshop where they collaborate in teams to brainstorm and prototype innovative ideas for using AI in online instruction. Utilizing design-thinking principles, challenges and opportunities in online blended learning can be identified to ideate creative solutions that leverage AI. Teams then present their prototypes and take part in discussions on the potential impact of their solutions. Throughout this session we will share how we have adapted to AI and take the opportunity to have an open discussion with the attendees.

M3 - Conference session

T2 - Online Learning Consortium (OLC) Accelerate Conference

Y2 - 3 October 2023 through 5 October 2023

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