学部後期課程
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最終更新日：2026年4月20日
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最終更新日：2026年4月20日
授業計画や教室は変更となる可能性があるため、必ずUTASで最新の情報を確認して下さい。
UTASにアクセスできない方は、担当教員または部局教務へお問い合わせ下さい。
Advanced ALESS II
Global Liberal Arts (AI Frenemy)
【Please note that you are assessed on a five-level scale of A+, A, B, C, or F/Fail in this course.】
Arthur C. Clarke famously wrote that "any sufficiently advanced technology is indistinguishable from magic." Yet, this magic can soon be understood, as the technology itself is further studied and explored.
This 13-week course demystifies AI through accessible technical explanations, science fiction narratives, and real-world case studies. You'll explore how AI tools actually work, connect media hype to sci-fi representations, and critically examine AI's impacts through hands-on experimentation and reflective writing.
Throughout the semester, you'll develop your own informed perspective on AI while building toward an "Unessay" final project: a creative synthesis of your learning presented in any medium you choose (essay, video, podcast, website, art piece, etc...). Weekly assignments will scaffold the skills needed for this project, and your perspective will determine whether AI is friend, enemy...or frenemy.
Through active engagement, students will:
Define what "AI" means and identify its intrinsic limitations
Draw connections between AI hype and science fiction narratives
Develop critical evaluation skills through experimentation and case studies
Build confidence in making informed decisions about AI use
Synthesize course learnings into a personalized Unessay project
This course isn't about condemning or celebrating AI. The course title "AI Frenemy" aims to focus on the uncertainty present around these tools, and our course helps us develop the awareness and agency to make informed choices about when, if, and how to use these tools, which are transferable to any emerging technology you encounter in college and beyond.
Arthur C. Clarke famously wrote that "any sufficiently advanced technology is indistinguishable from magic." Yet, this magic can soon be understood, as the technology itself is further studied and explored.
This 13-week course demystifies AI through accessible technical explanations, science fiction narratives, and real-world case studies. You'll explore how AI tools actually work, connect media hype to sci-fi representations, and critically examine AI's impacts through hands-on experimentation and reflective writing.
Throughout the semester, you'll develop your own informed perspective on AI while building toward an "Unessay" final project: a creative synthesis of your learning presented in any medium you choose (essay, video, podcast, website, art piece, etc...). Weekly assignments will scaffold the skills needed for this project, and your perspective will determine whether AI is friend, enemy...or frenemy.
Through active engagement, students will:
Define what "AI" means and identify its intrinsic limitations
Draw connections between AI hype and science fiction narratives
Develop critical evaluation skills through experimentation and case studies
Build confidence in making informed decisions about AI use
Synthesize course learnings into a personalized Unessay project
This course isn't about condemning or celebrating AI. The course title "AI Frenemy" aims to focus on the uncertainty present around these tools, and our course helps us develop the awareness and agency to make informed choices about when, if, and how to use these tools, which are transferable to any emerging technology you encounter in college and beyond.
時間割／共通科目コード
コース名
教員
学期
時限
08X20072
FAS-XA3C07L3
Advanced ALESS II
Leonard Sprague
火曜1限
マイリストに追加
マイリストから削除
講義使用言語
英語
単位
2
実務経験のある教員による授業科目
YES
他学部履修
可
開講所属
教養学部
授業計画
Week 1: Introduction – What is "Magic" and What is AI?
Week 2: The Technical Foundations – How Do LLMs Actually Work?
Week 3: AI in Science Fiction – Imagining Intelligence
Week 4: From Fiction to Reality – Media Narratives About AI
Week 5: Case Study – AI in Education (Part 1: The Debate)
Week 6: Case Study – AI in Education (Part 2: Experimentation)
Week 7: Midterm Check-In and Unessay Proposal Development
Week 8: AI Bias, Fairness, and Representation
Week 9: AI and Creativity – Can Machines Be Creative?
Week 10: AI and Labor – Economic and Social Impacts
Week 11: Environmental and Ethical Costs of AI
Week 12: Building Agency – Making Informed AI Decisions
Week 13: Course Reflection and Unessay Presentations
(Unessay development in continuous throughout the course)
授業の方法
This course employs a multi-modal approach combining lectures, discussions, hands-on experimentation, reflective writing, and creative project work.
Each week will typically include:
Interactive Lectures: Accessible presentations of technical concepts, media analysis, and thematic frameworks to build foundational knowledge.
Critical Reading and Discussion: Analysis of science fiction texts, media articles, and explanatory materials, with structured class discussions to explore multiple perspectives and develop critical evaluation skills.
Hands-On Experimentation: Guided practical sessions where students interact directly with AI tools (particularly LLMs) to understand capabilities, limitations, and real-world applications through experience.
Reflective Writing: Regular short writing assignments that encourage students to process course material, document their evolving understanding, and develop personal frameworks for AI engagement.
Unessay Project Development: Throughout the semester, students will work toward a final "Unessay" project: a creative, self-directed synthesis of course learnings presented in a medium of their choice (essay, audiovisual presentation, interactive website, art installation, podcast, etc.). Students will receive ongoing guidance, peer feedback, and individual consultations to support project development.
The course prioritizes active learning, student agency, and the development of transferable critical thinking skills applicable beyond the classroom.
成績評価方法
【Please check the grading scale that applies to this course. If the Course Code ends without “-P/F”, this is a course with a letter grade (A+, A, B, C, F). If the Course Code ends with “-P/F”, this is a Pass/Fail Course.】
Class participation: 30%
Weekly Responses: 40%
Final Project: 30%
However, those are just rough percentages of the effort/weight to each portion of the class. Often we implement a simplified grading contract design instead of the percentages.
履修上の注意
【If the number of students enrolling in this course exceeds the number determined by the instructor, there may be a selection process. Instructions for the selection process will be given in the first class, so if you are interested in taking this course, please be sure to attend the first class.】
No prior technical knowledge, programming experience, or familiarity with AI is required. This course welcomes students from all academic backgrounds, be it humanities or sciences, or those simply wanting to understand the AI tools increasingly present in their lives.
実務経験と授業科目の関連性
AI in education researcher.
