Medical Education
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2022 ◽  
Vol 95 (2) ◽  
pp. 372
Author(s):  
Karthik Ravi ◽  
William Ross ◽  
Ara Sahakian ◽  
Brian Weston ◽  
Prasad G. Iyer ◽  
...  

2022 ◽  
Vol 8 (3) ◽  
pp. 76-82
Author(s):  
Thomas V Chacko

The new competency based medical education represents a paradigm shift from a teacher centered to a student centered learning of outcome competencies paradigm and so both the students and the teachers are unfamiliar with it. Giving and receiving feedback is central to the competency development framework. Only through frequent, timely and appropriate feedback there will be effective development of cognitive competence in its lead up to performance of competence. These concepts are illustrated to convey the importance of giving feedback to students. As the teachers are expected to practice giving feedback to students, they were opportunistically asked prior to a faculty development workshop what their priority learning needs about giving feedback are. Based on this a focused review of literature was done to collect the information on the various models of giving feedback, the principles for giving feedback, the possible situations in curriculum delivery where teachers can and should give feedback to students.The literature revealed some good practice models for giving feedback to the naïve as well as the mature students in ambulatory and clinical teaching settings as well as on their performance as revealed by their test results. Models of counseling which has strong element of feedback on the learner’s performance and helping them choose the way forward after identifying the problem is also shared.


2022 ◽  
Vol 8 (3) ◽  
pp. 117-121
Author(s):  
Nivedita Sirdesai ◽  
Chhaya Saraf ◽  
Shubhada Gade

Since the unprecedented declaration of lockdown there has been a paradigm shift in medical education from chalk and board to virtual mode imposing both challenges and opportunities to faculty and students alike. As guest lecture is an innovative way of pedagogy we addressed them through an online talk to analyse the preferences towards sudden change in medical education. Students and faculty were addressed about the paradigm shift in teaching learning methods through an online guest lecture and the attendees answered a feedback questionnaire on different Teaching Learning methods. Based on responses to the questions results were plotted in Microsoft Excel and completed questionnaires were analyzed for statistics. : 90% of students and 100% of faculty found online guest lecture interesting and opined positively about having more online lectures in academic year. As far as teaching learning method is concerned both faculty and as students preferred offline/ traditional/ classroom teaching. : Online guest lecture offers more opportunities than challenges for both faculty and students. Arranging online guest lectures is economical, cost effective, has ease of attending from place of convenience provided robust internet connection is ensured, eliminates travel time as well as reduces the programme budget. Hence more number of virtual guest lectures can be arranged in an academic year for benefit of medical undergraduates. It is a novel platform for student teacher interaction and arrangement of more and more online guest lectures from eminent speakers excelling in various superspecialities should be encouraged.


Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 242
Author(s):  
Oumaima Stitini ◽  
Soulaimane Kaloun ◽  
Omar Bencharef

Nowadays, recommendation systems offer a method of facilitating the user’s desire. It is useful for recommending items from a variety of areas such as in the e-commerce, medical, education, tourism, and industry domains. The e-commerce area represents the most active research we found, which assists users in locating the things they want. A recommender system can also provide users with helpful knowledge about things that could be of interest. Sometimes, the user gets bored with recommendations which are similar to their profiles, which leads to the over-specialization problem. Over-specialization is caused by limited content data, under which content-based recommendation algorithms suggest goods directly related to the customer profile rather than new things. In this study, we are particularly interested in recommending surprising, new, and unexpected items that may likely be enjoyed by users and will mitigate this limited content. In order to recommend novel and serendipitous items along with familiar items, we need to introduce additional hacks and note of randomness, which can be achieved using genetic algorithms that brings diversity to recommendations being made. This paper describes a Revolutionary Recommender System using a Genetic Algorithm called RRSGA which improves the fitness functions for recommending optimal results. The proposed approach employs a genetic algorithm to address the over-specialization issue of content-based filtering. The proposed method aims to incorporate genetic algorithms that bring variety to recommendations and efficiently adjust and suggest unpredictable and innovative things to the user. Experiments objectively demonstrate that our technology can recommend additional products that every consumer is likely to appreciate. The results of RRSGA have been compared against recommendation results from the content-based filtering approach. The results indicate the effectiveness of RRSGA and its capacity to make more accurate predictions than alternative approaches.


Author(s):  
Linnea Dixson ◽  
Briana Pomales ◽  
Mehrtash Hashemzadeh ◽  
Mehnroosh Hashemzadeh

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