Helping our Students Learn to Care

Start Date

November 2025

End Date

November 2025

Keywords

AI, affective domain, ethics, value, Krathwohl, Bloom

Abstract

AI has brought many benefits to higher education, increasing access to information, saving time, and supporting the process of creativity. With AI support, human skills can focus on higher levels of analysis and synthesis. And yet…along with significant gains, AI also adds risks for taking short-cuts instead of investing in skill development, accessing others’ ideas and claiming ownership, and accepting information without verifying accuracy and authenticity. How do we promote the benefits of AI for students as they develop and sharpen their knowledge and skills, while reducing the risks that AI use can bring? One method to consider involves strengthening students’ values regarding the importance of ethical use of AI. Can we help students learn to or strengthen their ability to care about this value?

Krathwohl's work on the affective domain built on Bloom’s taxonomy of educational objectives in the cognitive domain. Our session will address guiding faculty in creating effective learning opportunities for their students to build skills in the affective domain and measuring affective skills based on those opportunities. Building students’ attitudes and values for the purpose of supporting ethical use of AI as a student can hopefully support students (and graduates) in making ethical choices as professionals in the workforce, for AI use and beyond.

Learning Outcomes

1. Participants will identify the five levels of the affective domain as they relate to valuing AI applications in teaching and learning.

2. Participants will create an example of a learning activity that illustrates one of the five levels of the affective domain in the context of ethical AI use.

3. Participants will engage in discussion about the value of measuring affective objectives in courses for ethical AI use

Track

Teaching Durable Skills

Session Type

25-Minute Session

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Nov 6th, 2:00 PM Nov 6th, 2:25 PM

Helping our Students Learn to Care

AI has brought many benefits to higher education, increasing access to information, saving time, and supporting the process of creativity. With AI support, human skills can focus on higher levels of analysis and synthesis. And yet…along with significant gains, AI also adds risks for taking short-cuts instead of investing in skill development, accessing others’ ideas and claiming ownership, and accepting information without verifying accuracy and authenticity. How do we promote the benefits of AI for students as they develop and sharpen their knowledge and skills, while reducing the risks that AI use can bring? One method to consider involves strengthening students’ values regarding the importance of ethical use of AI. Can we help students learn to or strengthen their ability to care about this value?

Krathwohl's work on the affective domain built on Bloom’s taxonomy of educational objectives in the cognitive domain. Our session will address guiding faculty in creating effective learning opportunities for their students to build skills in the affective domain and measuring affective skills based on those opportunities. Building students’ attitudes and values for the purpose of supporting ethical use of AI as a student can hopefully support students (and graduates) in making ethical choices as professionals in the workforce, for AI use and beyond.