1. AI Episode 1: Intro to Artificial Intelligence in Teaching
  2. AI Episode 2: What Does An AI Teaching Assistant Look Like?
  3. AI Episode 3: Implications for Thought Leaders and Policy Developers
  4. Introducing Simulations into Teacher Preparation Programs
  5. Assistive Technology to Support Writing
  6. Enhancing Instruction and Empowering Educators with AI Tools and Technology
  7. So, AI Ruined Your Term Paper Assignment?
  8. Step by Step Use of Chat GPT
  9. CIDDL ChatGPT: Summarizing Text
  10. CIDDL ChatGPT: Solving Multiple Choice Questions
  11. CIDDL ChatGPT: Writing Programs
  12. CIDDL ChatGPT: Solving Word Problems
  13. Artificial Intelligence: Positives and Negatives in the Mathematics Classroom
  14. AI to Support Literacy
  15. Three Free & Easy Tools to Support Tiered Reading in Your Classroom
  16. The Question of Equity in the Age of ChatGPT
  17. CIDDList: 5 AIs You Need to Check Out This Summer!
  18. Mixed Reality Simulations, Personalized Learning, AI, and the Future of Education with Dr. Chris Dede
  19. Foundations for AI and the Future of Teaching and Learning from the US Department of Educational Technology
  20. Apple Enters the AR/VR/MR/XR Scene
  21. ChatGPT, AIs, and the IEP?
  22. There’s An AI for That: A Site Dedicated to Curating AIs
  23. UDL, Design Learning, and Personalized Learning
  24. Embracing the Future: How Teachers Can Harness AI at the Beginning of the School Year
  25. CIDDList: Back-to-School Checklist for Technology in Teacher Preparation Courses
  26. Cracking the Code: Students with Disabilities in the Computer Sciences 
  27. UNESCO Discusses Artificial Intelligence
  28. AI-integrated Apps for Those with Visual Impairments: Camera-Based Identifiers and Readers
  29. Publishers Respond to Generative AI
  30. K-12 Generative AI Readiness Checklist
  31. CIDDL Talks How AI Will Change Special Education at TED
  32. Re-designing and Aligning an Intro to Special Education Class to the UDL Framework through Technology Integration: Minimizing Threats and Distractions
  33. Resources for Learning About AI Going Into 2024
  34. Artificial Intelligence in Education 2023: A Year in Review
  35. Revolutionizing Mathematics Education in K-12 with AI: The Role of ChatGPT
  36. Image Generating AI and Implications for Teacher Preparation
  37. Are We There Yet? AI for Statistical Analysis
  38. Answers to Your AI Questions: A Conversation with Yacine Tazi
  39. Emerging Trends in Special Education Technology: A Doctoral Scholar Symposium
  40. 2024: A Space Odyssey? How AI and Technology of the Present Compares to HAL9000 and the Predictions of 2001: A Space Odyssey
  41. Using ChatGPT for Writing Lesson Plans
  42. Updates in the World of AI
  43. CIDDList: Exploring GPTs Available with ChatGPT Plus
  44. Prompt Engineering for Teachers Using Generative AI: Brainstorming Activities and Resources
  45. Understanding the AI in Your Classroom
  46. Jump on the MagicSchool.ai Bus!
  47. Using AI-Powered Chatbot for Reading Comprehension
  48. The Impact of Artificial Intelligence on Cognitive Load
  49. Apple Intelligence: How Apple’s AI for the Rest of Us Will Impact Special Education Personnel Preparation
  50. Can AI Help With Special Education?
  51. Considerations for Syllabi in a Gen AI World
  52. The Integration of AI Chatbots in Education for Preservice Teachers
  53. Conceptualizing AI Literacy: A Critical Skill for the 21st Century
  54. Empowering Education Leaders: A Toolkit for Safe, Ethical, and Equitable AI Integration
  55. CIDDList: A Year in Review
  56. Updates in Artificial Intelligence
  57. Canva vs. Venngage: Choosing the Right Tool for Your Design Needs
  58. Enhancing Students’ Self-Determination Through Student-AI Collaboration
  59. Teaching AI Literacy in K-12 Education Part Two: Recommendations by Grade Levels
  60. A Brief Review of AI Survey Results
  61. Sora and the Art of AI Image Creation
  62. CIDDL Research and Practice Brief: Generative AI Prompt Engineering for Educators
  63. How Technology Supports Student Choice: Finding the ‘Just-Right’ Balance for Engagement and Learning
  64. How AI NPCs Could Transform Social Skills Training for Students with Social Communication Disorders
  65. Navigating the AI State Guidance in Education
  66. CIDDL Webinar Series: State AI Guidance in K-12 Education
  67. Creating Your Personal GPT
  68. CIDDL Office Hours: How to create your own GPTs
  69. Boost Your Finals Prep with Artificial Intelligence
  70. Is Generative AI Reshaping How We Think? Implications for Higher-Order Executive Functions
  71. End-of-Year Reflections on Using AI in the Classroom: Insights and Innovations from CIDDL Office Hours
  72. CIDDL Office Hours: What are you Reading, Watching, and Listening to Learn about AI?
  73. Episode 1: Rethinking Agency in the Age of AI: Gaining an Initial Understanding
  74. Media Debate and AI in Education: Why Learning Theory Matters
  75. What Does Data Tell Us About AI in K-12 Education
  76. CIDDList: 5 Free AI-Powered Tools to Transform Your Teaching
  77. Rethinking Assessment in the Age of Generative AI
  78. WWDC25 Unveiled: Apple’s New Design, AI, and Accessibility for Classrooms
  79. Learning AI at Home: How Families Can Grow Together in the Age of Smart Technologies
  80. Understanding the Value-Based Decision Making Behind Student AI Use
  81. Episode 2: Rethinking Agency in the Age of AI: Why Does Agency Matter in the Age of AI?
  82. Preparing Special Education Personnel for an AI Future (Part One)
  83. Preparing Special Education Personnel for an AI Future: A Back-to-School Guide for Departments (Part Two of Three)
  84. Practical AI Integration for Special Education Teacher Preparation (Part Three)
  85. CIDDL Office Hour: Welcome Back! Start the Semester with CIDDL Updates
  86. AI Literacy in Teacher Preparation
  87. Beyond Performance: AI Integration for Meaningful Learning
  88. CIDDL Office Hours: Practical AI Applications for Educators
  89. Cool Tools for the New Semester! Enrich Your Teaching and Lighten Your Workload!
  90. CIDDL Office Hours: Exploring AI Literacy in Education
  91. Barriers and Enablers of Technology Integration in Special Education: Implications for Teacher Educators
  92. Using AI to Support IEP Development: Insights from CIDDL’s AI Office Hours
  93. The Future of Accessible Classrooms: How AI Is Opening Doors in Special Education
  94. CIDDL Office Hours: Harnessing AI for Grading and Progress Monitoring
  95. Campus AI Exchange: A Growing Hub for Responsible AI in Higher Education
  96. Teaching AI Literacy: Efforts, Challenges, and Emerging Practices
  97. Countdown to TED 2025: Getting Ready Together
  98. Rethinking How Students Interact With AI: Toward Human-Centered Learning
  99. Special Education Teachers’ Use of Generative AI
  100. Future of Teacher Preparation in the Age of AI: CIDDL at TED 2025
  101. Artificial Intelligence and Executive Functioning: Enhancing Attention, Self-Regulation, and Planning in the Classroom
  102. CIDDL Office Hours: Smarter Data Analytics with AI
  103. CIDDL Office Hours: The Future of AI Integration
  104. Using Artificial Intelligence (AI) to Support Students with Emotional and Behavioral Disorders (EBD)
  105. Summary of UNESCO AI and the Future of Education
  106. AI Integration and the SAMR Framework: A Practical Lens for Instructional Design
  107. Preparing Faculty for the Digital Era: Exploring the ISTE Faculty Standards
  108. Being a Non-Tech Person in a Tech-Driven World
  109. Summary of OECD Digital Education Outlook 2026
  110. Navigating AI in IEP Development: A Framework for Ethical Practice
  111. Beyond the Tool: Designing Coherent AI Systems in Education
  112. Shaping the Future of Special Education: CIDDL at CEC 2026
  113. Generative AI and IEP Goal Development: Implications for Special Education Teacher Preparation
  114. Students Are Already Using AI: What Educators Should Understand About AI Guidance and Support
  115. Is AI Helping Students Think, or Doing It for Them?
  116. AI and Educational Assessment 101
  117. Advancing Writing Outcomes Through AI: Implications for Special Education Teacher Preparation
  118. What New National Evidence on School Phone Bans Means for Special Education Personnel Preparation 
  119. Cognitive Offloading in the Age of AI: Opportunities, Challenges, and Mechanisms
  120. From Blank Page to Literature Review: How AI Can Support Early-Stage Research and Writing Over the Summer 
  121. What Does the Research Actually Say About AI in K-12 Classrooms?
  122. Beyond AI Adoption: Why Asking Better Questions About Privacy and Security Matters

So, AI Ruined Your Term Paper Assignment?

Authors: James D. Basham, Ph.D., Angelica Fulchini Scruggs, Ph.D., and Eleazar Vasquez, Ph.Dinfo@ciddl.org

[embedyt] https://www.youtube.com/watch?v=fpY61s-ecBA[/embedyt]

Artificial Intelligence (AI) has made headlines since the release of ChatGPT at the end of 2022.  This technology has definitely changed the game for the future of writing. To this end, higher education and K-12 school faculty throughout the land cried foul because it ruined their course term papers, automatic answering of multiple-choice tests, or writing of any basic writing prompt. The resolution to this problem varies with most electing to ban the technology however, this is not a viable solution. 

Banning AI is similar to banning the use of word-processing software in the early 1990s. That is, it may work for a bit of time but is impossible to continue over time. Additionally, banning a technology that can enhance human performance has longer-term implications for learners, especially those with disabilities. Think about how an instructor might truly ban AI writing support. If the student has access to the internet, ChatGPT or OpenAI is available for use. Given that someone can use AI to partially write a paper, or develop an initial draft and then edit it, the only way to ban the use of AI is the ban the use of the internet, digital writing technology, and computers. Basically, pushing the students back to pen and paper. Thus, accessible text, spellcheck, speech-to-text, text-to-speech, and so on would be lost. More generally, pushing students back to pen and paper is an inauthentic real-world application.  

Fortunately, AI technology is not perfect yet. The use of AI has already demonstrated inconsistency in producing quality papers. The current AI has noted issues with writing including making up information to complete the prompts. Remember AI is a computer-generated output based on human inputs. For example, AI will falsify APA citations, with made-up DOI, for supporting the AI’s academic argumentation if it’s asked to support it with citations. Understanding the larger implications of an AI falsifying information is terrifying. But the AI’s flaw is a win for knowledgeable humans. Specifically, you can grade your term papers looking to identify the misinformation. This said, grading papers to the level wherein you are checking APA citations may change the way people grade. Currently, there are some quickly developed software solutions (see future posts) for testing whether a paper was written by AI. However, the accuracy of these AI testing systems is unknown at this time. Nonetheless, changing your grading process and using systems to check human authenticity might serve as an immediate solution.  

Similar to humans, AI will also improve its performance. Hopefully, new rules will be put into place to overcome the issue of AI spreading misinformation. So, if it has not done it already, AI may still ruin your term paper. Obvious big questions exist, such as what kinds of policies should universities and K-12 schools put in place? How do educators change the way in which writing is taught? How will AI impact research dissemination? These are things CIDDL would like to discuss further but for now, here are suggestions for help with your term paper assignment.

Define the Goal

Before overcoming the obstacles of AI, it’s important to define the learning goal.  What are you attempting to measure? What is the term paper measuring? What are some other ways those things might be measured? If you’re not familiar you might consider how Universal Design for Learning (UDL) can change the way you are measuring student learning. 

Overcoming Obstacles Introduced by AI

  • As introduced earlier, continue with the term paper, do more intensive checking for factual information, and make sure the citations are real. 
  • Have the student actually write the paper (or parts of it) with an AI and then go through and edit the work. If AIs provide misinformation, then make that part of the learning process. Support your students’ appropriate use of the AI by editing the drafts provided by the AI. Have them play the role of an editor, even submitting annotated drafts.
  • Have the students correct the AI in annotated presentation or video. Similar to editing, have the students have the AI write a paper, then present what was correct or incorrect about what AI wrote. 
  • As a faculty member, use the AI to develop case studies, then have your students respond to the case study in multiple forms (e.g., writing, video, presentation). 
  • Have the students use an AI to develop a case study, then score and edit the case studies on authenticity. Once scored on authenticity have students respond to the case study. 
  • Forgo the term paper and have the students completely respond in alternative forms to writing. Students can develop presentations and annotated videos that provide similar information as your paper.
  • What are your ideas? Share with the CIDDL Community.  

Spread the Word

What other AI-powered applications or tools do you use to improve teaching? Join the CIDDL community and keep the conversation going

Related Blog Posts