scholarly journals Erratum to: Automated problem solving for the behavioral sciences

1973 ◽  
Vol 5 (1) ◽  
pp. 3-3
Author(s):  
B. J. Starr
2016 ◽  
Vol 33 (S1) ◽  
pp. S632-S632
Author(s):  
M. Hammouda

IntroductionThe teaching of behavioral sciences was in form of lectures to the medical students in the 2nd year of the college, because the lecture is the least beneficial method of teaching. As I have noticed also that students were more interested to practice behavioral skills. So I suggested to the authority of the faculty to teach part of the behavioral sciences in a practical way and proposal of that was introduced and accepted to teach in that way and to give 20% of marks to this practical part, this in addition to the same theoretical lectures.MethodThe students were divided into groups of 30, every group present one day only through their 2nd year. This day divided into two parts each is 2 hours and in between have an hour break. The 1st part includes group discussion about communication, group dynamics, group leading and scientific way of problem solving. The 2nd part is dividing students into small groups of 10 students, to practice the previous skills in group interaction to solve one problem in a scientific way. All groups collected again to see what they have done.ResultsThe results revealed more interest and more enthusiasm to learn in that way and make it easy to practice in their daily life.ConclusionWe have to change into more practice in our teaching of medical students especially skills of human communication, group leading group dynamics as well as problem solving.Disclosure of interestThe author has not supplied his/her declaration of competing interest.


2021 ◽  
Author(s):  
Emory Richardson ◽  
Frank Keil

Limits on mental speed entail speed-accuracy tradeoffs for problem-solving, but memory and perception are accurate on much faster timescales. While response times drive inference across the behavioral sciences, they may also help laypeople interpret each others’ everyday behavior. We examined children’s (ages 5 to 10) use of agents’ response time to infer the source and quality of their knowledge. In each trial, children saw a pathfinding puzzle presented to an agent, who claimed to have solved it after either 3s or 20s. In Experiment 1 (n=135), children used agents’ response speed to distinguish between memory, perception, and novel inference. In Experiment 2 (n=135), children predicted that fast responses would be inaccurate, but were less skeptical of slow agents. In Experiment 3 (n=128), children inferred task complexity from agents’ speed. Our findings suggest that the simple intuition that thinking takes time may scaffold everyday social cognition.


2010 ◽  
Vol 37 (6) ◽  
pp. 4611-4625 ◽  
Author(s):  
Ourania Hatzi ◽  
Dimitris Vrakas ◽  
Nick Bassiliades ◽  
Dimosthenis Anagnostopoulos ◽  
Ioannis Vlahavas

2007 ◽  
Vol 1 (1/2) ◽  
pp. 159 ◽  
Author(s):  
Dimitris Vrakas ◽  
Grigorios Tsoumakas ◽  
Fotis Kokkoras ◽  
Nick Bassiliades ◽  
Ioannis Vlahavas ◽  
...  

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