Module Title- Ethical Decision Making and Academic Integrity in AI Use.
Course Learning Outcomes
CLO 1- Analyze ethical principles, including transparency, equity, privacy, and academic integrity, and apply them to at least two scenarios drawn from the learner’s own teaching or professional context.
CLO 2- Design a course component (such as a syllabus element, assessment, or learning activity) that aligns with ethical principles and meets clearly defined criteria for authentic learning provided through course resources and assessment rubrics.
CLO 3- Evaluate AI tools either currently used in the learner’s practice or introduced in the course for potential ethical risks, including impacts on data privacy, bias, equity, and academic integrity.
Course Learning Objectives
By the end of the course, Learners will be able to:
1) Explain key ethical principles related to artificial intelligence in education, including transparency, equity, privacy, and academic integrity. ( Aligns with CLO 1).
2) Design an AI-integrated instructional component (e.g., syllabus policy, assessment, or learning activity) that reflects ethical AI practices (Aligns with CLO 2).
3) Evaluate AI tools using structured ethical evaluation criteria, including privacy protection, bias mitigation, equity considerations, and academic integrity risks (Aligns with CLO 3).
Content and Activities.
Content
Learners begin with a short instructional video introducing the ethical AI concept.
AI tools risk evaluation checklist
Learning Activities
Discipline-Specific Ethical Scenario- Instructor participants will pick two AI-related scenarios from their professional experience, for example, a Sociology professor using AI for tasks such as lesson plan development, assessment feedback, syllabus design, or research support. (Aligns with CLO 1).
Authentic Course Component Design Task- Participants develop or adapt a course component using their teaching background, such as a syllabus, learning activity, or assessment, while ensuring that the ethical use of AI aligns with genuine learning standards (Aligns with CLO 2).
AI Tool Risk Evaluation Checklist- Participants assess an AI tool they currently use or consider using in their professional practice. (Aligns with CLO 3).
ASSESSMENT STRATEGY
Quiz and Knowledge Checks – Learners complete an interactive quiz identifying ethical principles such as transparency, equity, privacy, and academic integrity in AI-supported instructional examples (aligns with Learning Objective 1).
Discipline-Specific Scenario Analysis Assignment – Participants analyze two AI-related scenarios from their own teaching or professional practice and submit a written ethical analysis applying course principles and decision-making frameworks (aligns with Learning Objective 2).
AI Ethics Classification Exercise – Learners evaluate curated AI-supported instructional scenarios and classify each as appropriate, conditionally appropriate, or inappropriate, providing justification based on course guidelines and professional standards (aligns with Learning Objectives 2 and 5).
AI Tool Risk Evaluation Report – Participants assess an AI tool they currently use or plan to adopt using a structured ethical evaluation checklist addressing privacy, bias, transparency, equity, and academic integrity risks (aligns with Learning Objective 6).
Formative and Summative Assessment Mix
The minicourse deliberately combines both formative and summative assessments. Formative assessments such as quizzes, discussions, and scenario exercises help track learning progress and provide continuous support. Summative assessments, such as evaluating the AI tool and designing the AI-integrated course component, assess overall achievement of the course's learning goals. All assessments are thoughtfully aligned with the learning objectives to ensure consistency between teaching, practice, and evaluation, resulting in a meaningful and professionally relevant learning experience.
REFERENCES
Course learning outcomes (CLOs) with examples. (n.d.). University of Maryland Global Campus.https://leocontent.umgc.edu/content/umuc/tgs/ldtc/ldtc605/2262/unit-7/course-learning- outcomes--clos--with-examples-.html?ou=1378426
Learning (enabling) objectives with examples. (n.d.). University of Maryland Global Campus.
https://leocontent.umgc.edu/content/umuc/tgs/ldtc/ldtc605/2262/unit-7/learning-- enabling-- objectives-with-examples.html?ou=1378426
University of Maryland Global Campus. (n.d.). Assessment strategies. University of Maryland Global Campus. https://leocontent.umgc.edu/content/umuc/tgs/ldtc/ldtc605/2262/unit- 8/assessment-strategies.html?ou=1378426