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. Equity, Diversity, and Access to Technology in the Age of Artificial Intelligence
  12. CIDDL ChatGPT: Writing Programs
  13. CIDDL ChatGPT: Solving Word Problems
  14. Artificial Intelligence: Positives and Negatives in the Mathematics Classroom
  15. AI to Support Literacy
  16. Using the AI Bill of Rights to Guide Education’s use of AI and the European Commission’s “Ethical Guidelines for Teaching and Learning” to Guide the Future of AI in Education Part 1 of 2
  17. Using the AI Bill of Rights to Guide Education’s use of AI and the European Commission’s “Ethical Guidelines for Teaching and Learning” to Guide the Future of AI in Education Part 2 of 2
  18. Three Free & Easy Tools to Support Tiered Reading in Your Classroom
  19. The Question of Equity in the Age of ChatGPT
  20. CIDDList: 5 AIs You Need to Check Out This Summer!
  21. Mixed Reality Simulations, Personalized Learning, AI, and the Future of Education with Dr. Chris Dede
  22. Foundations for AI and the Future of Teaching and Learning from the US Department of Educational Technology
  23. Apple Enters the AR/VR/MR/XR Scene
  24. ChatGPT, AIs, and the IEP?
  25. There’s An AI for That: A Site Dedicated to Curating AIs
  26. UDL, Design Learning, and Personalized Learning
  27. Embracing the Future: How Teachers Can Harness AI at the Beginning of the School Year
  28. Empowering Special Education Faculty: Navigating the AI Landscape in Higher Education for 2023-2024.
  29. CIDDList: Back-to-School Checklist for Technology in Teacher Preparation Courses
  30. Cracking the Code: Students with Disabilities in the Computer Sciences 
  31. UNESCO Discusses Artificial Intelligence
  32. AI-integrated Apps for Those with Visual Impairments: Camera-Based Identifiers and Readers
  33. Publishers Respond to Generative AI
  34. K-12 Generative AI Readiness Checklist
  35. CIDDL Talks How AI Will Change Special Education at TED
  36. Re-designing and Aligning an Intro to Special Education Class to the UDL Framework through Technology Integration: Minimizing Threats and Distractions
  37. Resources for Learning About AI Going Into 2024
  38. Artificial Intelligence in Education 2023: A Year in Review
  39. Revolutionizing Mathematics Education in K-12 with AI: The Role of ChatGPT
  40. Image Generating AI and Implications for Teacher Preparation
  41. Are We There Yet? AI for Statistical Analysis
  42. Answers to Your AI Questions: A Conversation with Yacine Tazi
  43. Emerging Trends in Special Education Technology: A Doctoral Scholar Symposium
  44. 2024: A Space Odyssey? How AI and Technology of the Present Compares to HAL9000 and the Predictions of 2001: A Space Odyssey
  45. Using ChatGPT for Writing Lesson Plans
  46. Updates in the World of AI
  47. CIDDList: Exploring GPTs Available with ChatGPT Plus
  48. Prompt Engineering for Teachers Using Generative AI: Brainstorming Activities and Resources
  49. Understanding the AI in Your Classroom
  50. Jump on the MagicSchool.ai Bus!
  51. Using AI-Powered Chatbot for Reading Comprehension
  52. The Impact of Artificial Intelligence on Cognitive Load
  53. Apple Intelligence: How Apple’s AI for the Rest of Us Will Impact Special Education Personnel Preparation
  54. Can AI Help With Special Education?
A laptop computer screen shows a graphic with AI in the center.

Are We There Yet? AI for Statistical Analysis

Author: Dr. Tal Slemrod and Dr. Eleazar “Trey” Vasquez; info@ciddl.org

Statistical Analysis and AI

As we start 2024, one of the newest (if not the newest) push in technology is the introduction and use of Artificial Intelligence (AI). Where and how AI will be used is one of the ongoing questions in both K12 and higher education. More specifically, one question that the CIDDL team is exploring is how AI can and should be used in data analysis.

AI vs Traditional Analyses

To explore this question, we decided to run statistical analyses using OpenAI’s ChatGPT 4.0 Data Analysis and Wolfram Alpha and compare the same analysis results with traditional statistical analysis software (SPSS).

We ran various statistical analyses using large data sets, including descriptive statistics, t-tests, ANOVAs, and chi-square. ChatGPT could understand all the variables and suggest types of statistical analysis when asked about the best ways of comparing variables. Similarly, we ran various statistical tests using Wolfram Alpha.

Was AI Accurate?

After running statistical analyses in all three platforms, similar results were found when conducting descriptive statistics, t-tests, and ANOVA. Chi-square analysis, however, was only sometimes accurate. While there were consistencies in the descriptive statistics results, there were differences in p-values when other analyses were calculated. When p-values were found significant in SPSS, results remained significant when using AI. However, p-values varied in how close they were to SPSS. Open AI’s ChatGPT 4.0 also suggested the correct type of statistical tests when asked. While Wolfram Alpha does not suggest types of analysis, descriptive statistics were found to be accurate. Interestingly, when asked, ChatGPT provided a step-by-step guide on running the analysis in SPSS, which can provide a worthwhile implementation tool to guide researchers conducting quantitative analysis.

Are We There Yet?

There is no doubt that the use of AI is and will continue to be an essential part of society and education. When it comes to statistical analysis, there is also little doubt that AI has the potential to bridge a significant gap for those who conduct research in higher education, K-12 schools, and the private sector. Additionally, it can potentially revolutionize how educators, researchers, and students determine best practices. Even more so, it expands the potential to shorten and simplify research and to shorten the research-to-practice gap. That being said, are we there yet? We don’t think we are quite there, but we see the signs ahead and are pretty sure we’ll get there soon.

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