{"id":4740,"date":"2025-12-10T14:02:11","date_gmt":"2025-12-10T14:02:11","guid":{"rendered":"https:\/\/education.ufl.edu\/research-evaluation-methods\/?p=4740"},"modified":"2025-12-10T14:13:19","modified_gmt":"2025-12-10T14:13:19","slug":"edf3935-generative-ai-in-education","status":"publish","type":"post","link":"https:\/\/education.ufl.edu\/research-evaluation-methods\/2025\/12\/10\/edf3935-generative-ai-in-education\/","title":{"rendered":"EDF 3935 \u2013 Generative AI in Education"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” hover_enabled=”0″ locked=”off” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]<\/p>\n

EDF 3935 \u2013 Generative AI in Education<\/h2>\n

Spring 2026
Professor: Dr. Walter Leite
E-mail: walter.leite@coe.ufl.edu<\/a>
Meeting Time: Tuesdays 12:50 PM – 3:50 PM
Room: Norman 2012<\/p>\n

 <\/p>\n

Course Description<\/h3>\n

Provides research experience in the field of generative AI in education through the selection and utilization of AI tools and technics appropriate for the development of an intelligent tutoring system for improving the oral reading fluency of elementary school students.<\/p>\n

Student Learning Objectives:<\/h3>\n
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  1. Explore the Underlying Technologies of Generative AI <\/span><\/li>\n
  2. Develop Foundational Knowledge of Generative Models <\/span><\/li>\n
  3. Select and\/or utilize AI tools and techniques appropriate to a specific context and application. <\/span><\/li>\n
  4. Gain Proficiency in Python Libraries for AI applications <\/span><\/li>\n
  5. Understand the basic concepts of AI ethics <\/span><\/li>\n
  6. Evaluate and Fine-Tune Pre-Trained Generative Models <\/span><\/li>\n
  7. Experiment with Multimodal Generative Models <\/span><\/li>\n
  8. Understand the objectives and strategies for AI-Powered Creative Applications <\/span><\/li>\n
  9. Evaluate the performance of Generative AI Systems <\/span><\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n

    <\/h3>\n

    Software:<\/h3>\n
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    \n
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    All faculty, staff, and students of the University are required and expected to obey the laws and legal agreements governing software use. Failure to do so can lead to monetary damages and\/or criminal penalties for the individual violator. Because such violations are also against University policies and rules, disciplinary action will be taken as appropriate. We, the members of the University of Florida community, pledge to uphold ourselves and our peers to the highest standards of honesty and integrity. <\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n

     <\/p>\n

    Weekly Schedule<\/h3>\n

    Week 1 \u2013 Introduction
    Week 2 \u2013 Foundations of Generative AI
    Week 3 \u2013 Building-blocks of Generative AI: Neural Networks and Deep Learning
    Week 4 \u2013 Foundations of Generative AI: Transformers
    Week 5 – Sprint Retrospective 1
    Week 6 \u2013 Prompt Engineer LLMs
    Week 7 – Fine-Tune LLMS
    Week 8 \u2013 Sprint Retrospective 2
    Week 9 \u2013 Experiment with Speech Modeling
    Week 10 – Review AI- Powered Creative Applications
    Week 11 \u2013 Sprint Retrospective 3
    Week 12 \u2013 Evaluation of Generative AI
    Week 13 \u2013 Evaluation of Generative AI
    Week 14 \u2013 Sprint Retrospective 4<\/p>\n

     <\/p>\n

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