Tower of Questions: A Peer-Quizzing Game to Engage Students in Question and Answer Posing

BACKGROUND With the development of the Internet, online medical community can help patient access to medical information and relevant decisions more conveniently, and meet the needs of patients for their own healthcare management. Mining these Q&A (Question and Answer) data, we can help doctors give more targeted feedback which improve the efficiency of question-and-answer, and patient satisfaction. OBJECTIVE This study aimed to (1) analysis frequency and position of diabetes related diseases or symptoms in Q&A website and (2) find out the differences of disease terms in gender and age using in the questions. METHODS We collected 5766 Q&A diabetes related data on the website of Chunyuyisheng from June 2012 to April 2020. In 38176 combined sentences, a vocabulary contains 3 categories of 3851 word and 2094 ICD (International Classification of Diseases) matching terms were obtained by calculating the similarity using word vectors. Proportion of the frequency of words and Mann-Whitney U test on word position were used to quantify the difference in patient’s gender and age group. RESULTS The vocabulary of the disease category accounts for 70%. We analyzed the word frequency and position in questions for different gender and age group. For gender, women participate in question answering more, accounting for 53% of total questions. They pay more attention to pregnancy, sleep and thyroid gland related vocabulary compared to men. Men focus more on circulation system, kidney failure related vocabulary. For different age group, pregnancy, glucose regulation, digestive and respiratory system related vocabulary have a higher proportion for patients under 40 years old. Patients over 40 years old pay more attention on kidney failure, cerebral ischaemia, infectious and circulation system. CONCLUSIONS This study provides a new insight into frequency and position of diabetes related diseases or symptoms in online medical services. It can show patients’ different attention by comparing disease or symptom categories for gender and age with ICD disease codes. The frequency and position of disease category words in patients’ conversation can be used for further risk evaluation for chronic diseases research.

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Some Thoughts on the Socratic Method

News for Teachers of Political Science ◽

10.1017/s0197901900000131 ◽

1984 ◽

Vol 43 ◽

pp. 6-7 ◽

Cited By ~ 1

Author(s):

Ethan M. Fishman

Keyword(s):

Political Philosophy ◽

Higher Learning ◽

Political Scientist ◽

Socratic Method ◽

Teaching Techniques ◽

Institutions Of Higher Learning ◽

Question And Answer ◽

History Of ◽

Pedagogic Tool ◽

The University

The Socratic method was the major pedagogic tool at the first great Western university, Plato's Academy, and continues to be respected, at least in theory, by teachers at our institutions of higher learning. Yet today many of Plato's heirs in the university community seem to hold several perhaps innocent but nonetheless serious misconceptions concerning the Socratic technique. As a political scientist interested in the history of political philosophy, I have developed some thoughts on this subject in response to repeated inquiries by colleagues and students alike.One popular inaccuracy describes the Socratic method as an openended question and answer process. Actually, the Socratic approach has a singular purpose, namely the search for truth, and it is this explicit goal rather than an informal procedure of give and take which distinguishes the Socratic method from other teaching techniques.

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Rethinking class size. A question and answer session with Peter Blatchford about a new book and approach to the class size issue

Education 3-13 ◽

10.1080/03004279.2021.1874370 ◽

2021 ◽

pp. 1-11

Author(s):

Peter Blatchford

Keyword(s):

Class Size ◽

Question And Answer

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EXPRESS: Interacting User-Generated Content Technologies: How Questions & Answers Affect Consumer Reviews

Journal of Marketing Research ◽

10.1177/00222437211020274 ◽

2021 ◽

pp. 002224372110202

Author(s):

Shrabastee Banerjee ◽

Chris Dellarocas ◽

Georgios Zervas

Keyword(s):

Electronic Commerce ◽

User Generated Content ◽

Specific Information ◽

Product Attributes ◽

Online Retailer ◽

Consumer Reviews ◽

Question And Answer ◽

Using Data ◽

Product Ratings

This article studies the question and answer (Q&A) technology of electronic commerce platforms, an increasingly common form of user-generated content that allows consumers to publicly ask product-specific questions and receive responses, either from the platform or from other customers. Using data from a major online retailer, the authors show that Q&As complement consumer reviews: unlike reviews, questions are primarily asked pre-purchase and focus on clarification of product attributes rather than discussion of quality; answers convey fit-specific information in a predominantly sentiment-free way. Based on these observations, the authors hypothesize that Q&As mitigate product fit uncertainty, leading to better matches between products and consumers, and therefore improved product ratings. Indeed, when products suffering from fit mismatch start receiving Q&As, their subsequent ratings improve by approximately 0.1 to 0.5 stars and the fraction of negative reviews that discuss fit-related issues declines. The extent of the rating increase due to Q&As is proportional to the probability that purchasers will experience fit mismatch without Q&A. These findings suggest that, by resolving product fit uncertainty in an e-commerce setting, the addition of Q&As can be a viable way for retailers to improve ratings of products that have incurred low ratings due to customer-product fit mismatch.

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