General Medicine online classes for Final MBBS part – II students are being conducted through two formats.
One is a passive learning format where PPTs or lecture videos done by our faculty are shared through a schoology portal and then MCQs are provided with auto correct generation of content recall testing.
The other format is an attempt at active learning with students on social media, centered around their Elog books (Online learning portfolio) where students are provided a clinical problem to solve and then encouraged to raise questions around the case and search and discuss the answers with Faculty and other senior students.
This week we have begun our online learning session
with the UGs around
the topic of
"Patient data analysis"
with a
Target competency:
to develop an ability/competency to read and comprehend a patient's history, examination findings, investigations and analyze it in a manner to understand the patient's requirements around his/her diagnosis and treatment.
Methodology:
The students competency will be assessed by their ability to form a problem list in order of the patient's priority for which they need to get in touch with the original creator of the online patient's record and then from each problem in the list they would need to analyze the cause of the problem and come to a diagnosis and therapeutic plan for the patient that will be vetted as useful by the entire general medicine online learning ecosystem that includes, interns, Pgs, faculty locally as well as globally including the online patient himself/herself.
Below is the link to all 200 online learning logs made by the current 8th semester students:
https://detailedclinicalanalysis.blogspot.com/2020/05/online-learning-individual-patient-data.html
And here are some special sample logs from a few students who were the early birds in this online active learning session where majority of their cognitive activity is in pm conversation with the session moderator and is reflected in the comments section of their log book.
https://decodemed.blogspot.com/2020/05/unraveling-skein.html?showComment=1589730592398&m=1#c8217929345349410897
https://shivani2401elogbookmedicine.blogspot.com/2020/05/my-medical-elog-book-may-15-2020.html?m=1
Student log book with the anonymized online patient's comments
https://anushachowdaryshivakoti150.blogspot.com/2020/05/analysis-of-case-of-42yr-old-female.html?m=1
Student log book with queries raised by the student stimulating an active learning conversation with the moderator https://muskaanmenghwani.blogspot.com/2020/05/42-year-old-female-with-multiple-health.html?m=1
This is a student log where an active learning cross consultation was obtained from another department and added to the student's log book comment box that reflects his her active conversational learning
https://rhea9895.blogspot.com/2020/05/case-of-42-year-old-female-with.html?m=1
All the interns and PGs in the department of Medicine have been informed about this exercise and the student E logs have been made available for them to participate in this active online learning activity that will be hopefully reflected in the comments section of the student's E logs following which the students shall receive formative assessment score based on a percentile once we check out the student log with the maximum number of learning points that can serve as the current highest comparator.
Maybe chat bots will soon take over the active learning and assessment part of the overall workflow?
One is a passive learning format where PPTs or lecture videos done by our faculty are shared through a schoology portal and then MCQs are provided with auto correct generation of content recall testing.
The other format is an attempt at active learning with students on social media, centered around their Elog books (Online learning portfolio) where students are provided a clinical problem to solve and then encouraged to raise questions around the case and search and discuss the answers with Faculty and other senior students.
This week we have begun our online learning session
with the UGs around
the topic of
"Patient data analysis"
with a
Target competency:
to develop an ability/competency to read and comprehend a patient's history, examination findings, investigations and analyze it in a manner to understand the patient's requirements around his/her diagnosis and treatment.
Methodology:
The students competency will be assessed by their ability to form a problem list in order of the patient's priority for which they need to get in touch with the original creator of the online patient's record and then from each problem in the list they would need to analyze the cause of the problem and come to a diagnosis and therapeutic plan for the patient that will be vetted as useful by the entire general medicine online learning ecosystem that includes, interns, Pgs, faculty locally as well as globally including the online patient himself/herself.
Below is the link to all 200 online learning logs made by the current 8th semester students:
https://detailedclinicalanalysis.blogspot.com/2020/05/online-learning-individual-patient-data.html
And here are some special sample logs from a few students who were the early birds in this online active learning session where majority of their cognitive activity is in pm conversation with the session moderator and is reflected in the comments section of their log book.
https://decodemed.blogspot.com/2020/05/unraveling-skein.html?showComment=1589730592398&m=1#c8217929345349410897
https://shivani2401elogbookmedicine.blogspot.com/2020/05/my-medical-elog-book-may-15-2020.html?m=1
Student log book with the anonymized online patient's comments
https://anushachowdaryshivakoti150.blogspot.com/2020/05/analysis-of-case-of-42yr-old-female.html?m=1
Student log book with queries raised by the student stimulating an active learning conversation with the moderator https://muskaanmenghwani.blogspot.com/2020/05/42-year-old-female-with-multiple-health.html?m=1
This is a student log where an active learning cross consultation was obtained from another department and added to the student's log book comment box that reflects his her active conversational learning
https://rhea9895.blogspot.com/2020/05/case-of-42-year-old-female-with.html?m=1
All the interns and PGs in the department of Medicine have been informed about this exercise and the student E logs have been made available for them to participate in this active online learning activity that will be hopefully reflected in the comments section of the student's E logs following which the students shall receive formative assessment score based on a percentile once we check out the student log with the maximum number of learning points that can serve as the current highest comparator.
Maybe chat bots will soon take over the active learning and assessment part of the overall workflow?
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