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Quarterly on-demand faculty development sessions are designed by educators, for educators, to assist faculty in developing skills related to the pillars of academic programs.
These sessions are for anyone interested in strategies applicable to teaching, learning, or scholarship. Learn from leading educators who are adopting, studying, and creating innovative and effective ways to improve teaching and education scholarship.
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Factors Impacting Student Learning and Academic Performance
James M. Culhane, Ph.D. Professor and Assistant Dean of Student Academic Success Programs NTA Certified Academic Coach Notre Dame of Maryland University School of Pharmacy
Learning Objectives:
- Describe the basic components of the BACEIS (Behavior, Affect, Cognition, Environment, Interacting Systems) model.
- Recognize how the different components of the BACEIS model can impact academic performance and student learning.
- Utilize the BACEIS model to identify barriers to effective learning in order to design and implement effective academic intervention strategies.
Pillars of Teaching:
Brandy CloseDirector of Curricular Affairs, Instructional Design and Academic Technologies Oklahoma State University College of Veterinary Medicine
Dan Thompson Assistant Director of Instructional Design and Faculty Development Oklahoma State University College of Veterinary Medicine
Learning Objectives:
At the completion of this module, participants will be able to:
- Align learning objectives with course goals, competencies, and assessments.
- Choose teaching methods that best satisfy learning objectives and course goals.
- Create a well-aligned course that promotes improved student outcomes.
Equity in Assessment
Joe LevyStrategist for Learning & Organizational Effectiveness Associate Vice Provost of Accreditation and Quality Improvement Excelsior University
Learning Objectives:
- Explain the relationship between equity and assessment.
- Identify at least three actions to infuse equity into assessment practice.
- Describe equity's impact on reporting and use of data.