The transfusion medicine tutor: Using expert systems technology to teach domain-specific problem-solving skills

Author(s):  
Jodi Heintz Obradovich ◽  
Philip J. Smith ◽  
Stephanie Guerlain ◽  
Sally Rudmann ◽  
Patricia Strohm ◽  
...  
Author(s):  
Mette Brekke ◽  
Bernard Gay ◽  
Givi Javashvili ◽  
Janko Kersnik ◽  
Razvan Miftode ◽  
...  

Author(s):  
Uma Shanker Tiwary ◽  
Tanveer J. Siddiqui

The objective of this chapter is twofold. On one hand, it tries to introduce and present various components of Human Computer Interaction (HCI), if HCI is modeled as a process of cognition; on the other hand, it tries to underline those representations and mechanisms which are required to develop a general framework for a collaborative HCI. One must try to separate the specific problem solving skills and specific problem related knowledge from the general skills and knowledge acquired in interactive agents for future use. This separation leads to a distributed deep interaction layer consisting of many cognitive processes. A three layer architecture has been suggested for designing collaborative HCI with multiple human and computational agents.


2016 ◽  
Vol 15 (4) ◽  
pp. ar71 ◽  
Author(s):  
Luanna B. Prevost ◽  
Paula P. Lemons

This study uses the theoretical framework of domain-specific problem solving to explore the procedures students use to solve multiple-choice problems about biology concepts. We designed several multiple-choice problems and administered them on four exams. We trained students to produce written descriptions of how they solved the problem, and this allowed us to systematically investigate their problem-solving procedures. We identified a range of procedures and organized them as domain general, domain specific, or hybrid. We also identified domain-general and domain-specific errors made by students during problem solving. We found that students use domain-general and hybrid procedures more frequently when solving lower-order problems than higher-order problems, while they use domain-specific procedures more frequently when solving higher-order problems. Additionally, the more domain-specific procedures students used, the higher the likelihood that they would answer the problem correctly, up to five procedures. However, if students used just one domain-general procedure, they were as likely to answer the problem correctly as if they had used two to five domain-general procedures. Our findings provide a categorization scheme and framework for additional research on biology problem solving and suggest several important implications for researchers and instructors.


2013 ◽  
pp. 141-162
Author(s):  
Uma Shanker Tiwary ◽  
Tanveer J. Siddiqui

The objective of this chapter is twofold. On one hand, it tries to introduce and present various components of Human Computer Interaction (HCI), if HCI is modeled as a process of cognition; on the other hand, it tries to underline those representations and mechanisms which are required to develop a general framework for a collaborative HCI. One must try to separate the specific problem solving skills and specific problem related knowledge from the general skills and knowledge acquired in interactive agents for future use. This separation leads to a distributed deep interaction layer consisting of many cognitive processes. A three layer architecture has been suggested for designing collaborative HCI with multiple human and computational agents.


2020 ◽  
Vol 7 (1) ◽  
pp. 1719571
Author(s):  
Jürgen Seifried ◽  
Steffen Brandt ◽  
Kristina Kögler ◽  
Andreas Rausch

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