Stanford Root

Schedule

Stanford Root

Schedule

BIOE 296

Evidence-Based Approaches in Effective Teaching & Research Mentorship

UNITS:1
GRADING:Satisfactory/No Credit
LEVEL:Graduate
GER:—

This graduate-student led weekly seminar will explore a range of evidence-based practices & modern educational theory that can be used for more effective and equitable teaching and mentorship. A special focus is placed on science & engineering education. Class meetings consist of small-group discussions and workshops, culminating in a final project where participants apply course topics into an educational situation of their choice, whether as a learner, teaching assistant, instructor, research mentor, project manager, etc. Less than an hour of work outside of class is expected each week. Topics include active-learning strategies, artificial intelligence in education, formative feedback models, equitable assessment design, universal design for learning, instructor-learner trust & wellness, student engagement & empowerment in inclusive teaching, culturally responsive teaching, and building authentic community through values & norms - among others. The course is open to take for credit or audit by undergraduate students, graduate students, medical students, postdoctoral scholars, professors & professionals. Participants of all levels and from across the University are welcome and encouraged.

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 6384
0 / 18 enrolled
DAYS:Friday
TIME:2:30 PM – 4:20 PM
LOCATION:TBD
INSTRUCTOR:
Venook, Ross, Yu, William, Marshall, Kenji, Fleeharty, Megan
1unit

BIOE 296: Evidence-Based Approaches in Effective Teaching & Research Mentorship

1 units · Satisfactory/No Credit

This graduate-student led weekly seminar will explore a range of evidence-based practices & modern educational theory that can be used for more effective and equitable teaching and mentorship. A special focus is placed on science & engineering education. Class meetings consist of small-group discussions and workshops, culminating in a final project where participants apply course topics into an educational situation of their choice, whether as a learner, teaching assistant, instructor, research mentor, project manager, etc. Less than an hour of work outside of class is expected each week. Topics include active-learning strategies, artificial intelligence in education, formative feedback models, equitable assessment design, universal design for learning, instructor-learner trust & wellness, student engagement & empowerment in inclusive teaching, culturally responsive teaching, and building authentic community through values & norms - among others. The course is open to take for credit or audit by undergraduate students, graduate students, medical students, postdoctoral scholars, professors & professionals. Participants of all levels and from across the University are welcome and encouraged.

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Lecture — Friday 2:30 PM – 4:20 PM — Venook, Ross, Yu, William, Marshall, Kenji, Fleeharty, Megan (Graduate)

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