Other Publications

Education Columns

Active Learning and Student-Driven Curriculum

Cathleen Morrow, MD, Geisel School of Medicine at Dartmouth

When we work to develop, implement, and revise family medicine clerkship curriculum, we are mindful of principles of active adult learning. These include but are not limited to:

  • Establishing effective learning climates in which learners feel safe and comfortable expressing themselves
  • Inspiring curricular ownership in learners
  • Reinforcing principles of lifelong learning and engagement
  • Encouraging learners to formulate their own learning objectives and plans
  • Structuring curriculum that supports learners in carrying out their learning plans, which implies flexibility and adaptability to meet a given student's need.
  • Team teaching, team work, and peer teaching

Implementation of curriculum rooted in such principles can be disruptive, tending to lead to disturbance in traditional lecture formats, Socratic questioning, and emphasis on exams and grades. This can contribute to both student and faculty discomfort, leaving faculty with anxiety about losing control of the classroom setting and students disturbed that they are not being fed material that directly speaks to the next exam they face.

Yet, experienced physicians know that rote memorization, reams of facts and data, and keen command of the literature alone does not make a great physician. It is in the active, deeply engaged student whose innate curiosity and drive is supported, enhanced, and pushed so that "learning that sticks" occurs. Our responsibility, in as much as it is possible, is to foster such learning environments—and sometimes get out of the way. If we believe that this is so, some further principles of student driven curriculum arise:

  • Student centered versus faculty centered
  • Shift of emphasis away from competitiveness and having the "right" answer
  • Better mimic of real-life clinical medicine with support for team and peer teaching and learning.
  • Appreciates that we may not know the questions students are struggling with and may not know the answers once questions are known.


These principles, taken together, have strongly influenced revision of the clerkship curriculum at my home institution and continue to influence ongoing consideration of both methods to teach particular material, as well as content.

Curricular examples of such a philosophy:

  • Team teaching—multiple exercises in which students break into small groups to answer clinical questions and coming up with assessments and plans for simple and complex medical conditions
  • Peer teaching via write-up evaluation—students do first drafts of required formal H&Ps and are paired with a colleague who critiques, asks questions, and suggests edits. Students revise their work based on colleagues' comments before final submission to faculty for evaluation
  • Videoconferencing case presentations—faculty select cases based on submitted student write-ups and identify needs raised by the write-up such as organizing and prioritizing data, differential formulation, and clinical reasoning. The "expert" is the student who saw the patient, helping to push the faculty off-stage.
  • Wiki: Students post unanswered questions from selected clinic days to a wiki; students share in answering one another's questions with faculty oversight; selected questions are discussed over scheduled videoconferencing.
  • The BIG questions: In the final week of clerkship, after all have returned to campus, students post their unresolved questions as they reflect on their 6 weeks in family medicine. These tend toward "big issues" in family medicine and are often more focused on broad health care system issues, complexities of delivery of care, and challenges experienced by students as they struggle to absorb the implications of full-spectrum care. A single faculty facilitates the session in which all students contribute to explore answers together.

We are strongly influenced by the questions students ask and work to create teaching and learning structures that allow curricular fluidity and responsiveness. We strive to create a learning community in each block of the clerkship that fosters active engagement by all participants and places responsibility for learning outcomes on the whole group. That way faculty and students alike have "skin in the game."

Ask a Question
AI Chatbot Tips

Tips for Using STFM's AI Assistant

STFM's AI Assistant is designed to help you find information and answers about Family Medicine education. While it's a powerful tool, getting the best results depends on how you phrase your questions. Here's how to make the most of your interactions:

1. Avoid Ambiguous Language

Be Clear and Specific: Use precise terms and avoid vague words like "it" or "that" without clear references.

Example:
Instead of: "Can you help me with that?"
Try: "Can you help me update our Family Medicine clerkship curriculum?"
Why this is important: Ambiguous language can confuse the AI, leading to irrelevant or unclear responses. Clear references help the chatbot understand exactly what you're asking.

2. Use Specific Terms

Identify the Subject Clearly: Clearly state the subject or area you need information about.

Example:
Instead of: "What resources does STFM provide?"
Try: "I'm a new program coordinator for a Family Medicine clerkship. What STFM resources are available to help me design or update clerkship curricula?"
Why this is better: Providing details about your role ("program coordinator") and your goal ("design or update clerkship curricula") gives the chatbot enough context to offer more targeted information.

3. Don't Assume the AI Knows Everything

Provide Necessary Details:The STFM AI Assistant has been trained on STFM's business and resources. The AI can only use the information you provide or that it has been trained on.

Example:
Instead of: "How can I improve my program?"
Try: "As a program coordinator for a Family Medicine clerkship, what resources does STFM provide to help me improve student engagement and learning outcomes?"
Why this is important: Including relevant details helps the AI understand your specific situation, leading to more accurate and useful responses.

4. Reset if You Change Topics

Clear Chat History When Switching Topics:

If you move to a completely new topic and the chatbot doesn't recognize the change, click the Clear Chat History button and restate your question.
Note: Clearing your chat history removes all previous context from the chatbot's memory.
Why this is important: Resetting ensures the AI does not carry over irrelevant information, which could lead to confusion or inaccurate answers.

5. Provide Enough Context

Include Background Information: The more context you provide, the better the chatbot can understand and respond to your question.

Example:
Instead of: "What are the best practices?"
Try: "In the context of Family Medicine education, what are the best practices for integrating clinical simulations into the curriculum?"
Why this is important: Specific goals, constraints, or preferences allow the AI to tailor its responses to your unique needs.

6. Ask One Question at a Time

Break Down Complex Queries: If you have multiple questions, ask them separately.

Example:
Instead of: "What are the requirements for faculty development, how do I register for conferences, and what grants are available?"
Try: Start with "What are the faculty development requirements for Family Medicine educators?" Then follow up with your other questions after receiving the response.
Why this is important: This approach ensures each question gets full attention and a complete answer.

Examples of Good vs. Bad Prompts

Bad Prompt

"What type of membership is best for me?"

Why it's bad: The AI Chat Assistant has no information about your background or needs.

Good Prompt

"I'm the chair of the Department of Family Medicine at a major university, and I plan to retire next year. I'd like to stay involved with Family Medicine education. What type of membership is best for me?"

Why it's good: The AI Chat Assistant knows your role, your future plans, and your interest in staying involved, enabling it to provide more relevant advice.

Double Check Important Information

While the AI Chat Assistant is a helpful tool, it can still produce inaccurate or incomplete responses. Always verify critical information with reliable sources or colleagues before taking action.

Technical Limitations

The Chat Assistant:

  • Cannot access external websites or open links
  • Cannot process or view images
  • Cannot make changes to STFM systems or process transactions
  • Cannot access real-time information (like your STFM Member Profile information)

STFM AI Assistant
Disclaimer: The STFM Assistant can make mistakes. Check important information.