Date/Time
Date(s) - 14/07/2024 - 25/07/2024
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Categories
TEI
July 14, 2024 – July 25, 2024 | 10:00 am – 5:00 pm ET
TEI has trained over 10,000 professionals to build the skills evaluators and research professionals need to be successful. Join TEI and our community of international practitioners this fall to elevate your practice. The TEI Summer Program will take place from July 14, 2025 through July 25, 2025. Our courses are right around the corner and they are filling up quickly!
We are delighted to offer one new course in Summer 2025: Using Evaluation Approaches, Theories, and Research on Evaluation (ROE) to Improve Your Evaluation Practice: With Help from Generative AI. Additionally, Introduction to Data Visualization has been extended from two days to three days of instruction. You can find more information about all of the courses offered this summer on our website.
Participation in all TEI courses builds towards our professional certificates in evaluation. To learn more about our program, please visit our website or contact us at tei@cgu.edu
COURSE DISCOUNTS
Use code EARLYBIRD15 at checkout to receive 15% off until April 30, 2025. Participants who register between May 1, 2025 and May 15, 2025 can receive a 10% discount when using code EARLYBIRD10 at checkout.
Please contact us at tei@cgu.edu for a 20% group discount code (available for groups of three or more) or a 20% multi-course discount code (available for individuals registering for three or more courses).
You can find more information about discounts and course fees on our website.
Contact us at tei@cgu.edu to learn more. You can also join our mailing list to receive updates about future TEI programs.
SUMMER 2025 COURSE SCHEDULE
WEEK 1
- Introduction to R Programming for Data Analysis and Visualization (David Wilson): 2 day course, July 14–15
- Using Logic Models, Program Theory, Research, and Chat GPT to Design and Evaluate Programs (Stewart I. Donaldson): 2 day course, July 14–15
- Creating and Implementing Successful Evaluation Surveys (Jason T. Siegel): 3 day course, July 16–18
- Developmental Evaluation (Michael Quinn Patton): 2 day course, July 16–17
- Introduction to Machine Learning for Evaluators (Peter York): 3 day course, July 16–18
WEEK 2
- Introduction to Data Analysis for Evaluators and Applied Researchers (P. Wesley Schultz): 2 day course, July 21–22
- Monitoring and Evaluation: Frameworks and Fundamentals (Ann Doucette): 2 day course, July 21–22
- Using Evaluation Approaches, Theories, and Research on Evaluation (ROE) to Improve Your Evaluation Practice: With Help from Generative AI (Stewart Donaldson): 2 day course, July 21–22 | New course
- Applied Measurement for Evaluation (Ann Doucette): 2 day course, July 23–25
- Artificial Intelligence in Evaluation: Bridging Technology and Practice (Jennifer P. Villalobos): 3 day course, July 23–25
- Introduction to Data Visualization (Alice Feng): 3 day course, July 23–25 | Extended to three days
Utilization-Focused Evaluation (Michael Quinn Patton): 1 day course, July 25