Academic Assessment Series
Congratulations Kadian!
Dr. Kadian Callahan (Assistant Dean for Faculty and Student Success in the College of Science and Mathematics and Professor of Mathematics Education) was the first person to complete the entire series and receive the Assessment Foundations badge. She had this to say about the series:
From "Student Learning Outcome Essentials" to "Using Data for Improvement," the Academic Assessment Series provided a manageable process to walk people through different aspects of academic assessment. The structure of the modules engaged participants in different ways as we worked asynchronously -- reviewing the articles, watching short videos, completing practice quizzes, and having discussions with colleagues.
The variety of activities helped us to understand and apply the information to our individual contexts, while also helping us to understand applications in other contexts. This made for relevant and interesting conversations during synchronous meetings with others working through the series.
I appreciated the conversations with colleagues across different units and was able to gather additional ideas for thinking about and conducting academic assessment. Thank you for designing such a well-organized and helpful series!
Module Information:
- The series consists of five modules focusing on foundational aspects of academic assessment and continuous improvement.
- Each module entails two weeks of asynchronous online material, with a corresponding 1.5 hour synchronous session for collaborative discussion and hands-on application (either virtual or face-to-face).
- Participants who complete one module will earn a professional badge. Participants who complete the full series will earn the Assessment Foundations badge.
Click below for more information or to register for one or more modules. Please email assessment@kennesaw.edu with questions.
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Module 1: Student Learning Outcome Essentials
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Module 2: Curriculum Map Design
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Module 3: Rubric Design
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Module 4: Validity and Reliability Essentials
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Module 5: Data Informed Improvement
