scholarly journals Measuring the effect of automatically authored video aid on assembly time for procedural knowledge transfer among operators in adaptive assembly stations

Author(s):  
Andrea de Giorgio ◽  
Malvina Roci ◽  
Antonio Maffei ◽  
Milan Jocevski ◽  
Mauro Onori ◽  
...  
2004 ◽  
Vol 1 (1) ◽  
pp. 41-61 ◽  
Author(s):  
Georgia A. Smedley ◽  
Steve G. Sutton

Knowledge-Based Systems (KBS) have been used in industry to free experts from mundane and routine decision making, to produce comparable and consistent decisions, and to retain the expertise of knowledgeable employees who may, for many reasons, leave a company. KBS are also desired to have the capacity to transfer knowledge to less-expert users of such systems. In this paper, Adaptive Character of Thought-Rational (ACT-R) theory is used as a foundation for the design of KBS explanations for the explicit purpose of facilitating knowledge transfer to the user. ACT-R (Anderson 1993) is a theory of cognitive skill acquisition that suggests a learner must first obtain certain facts about a new learning situation (declarative memory pieces) and then convert a series of facts into a set of rules that will produce accurate problem-solving skills (procedural memory pieces). Prior research has examined pieces of the ACT theory in its earlier forms, but no comprehensive tests examining the simultaneous effect of the multiple components have previously been completed. The current study addresses three questions based on ACT-R theory: (1) Can declarative-knowledge-based explanations improve declarative knowledge transfer? (2) Can declarative-knowledge-based explanations improve procedural knowledge transfer? (3) Can procedural-knowledge-based explanations improve procedural knowledge transfer? An experiment employing eight KBS, differing by types of KBS explanation prompts, which were designed to stimulate declarative and/or procedural knowledge transfer, was conducted with 294 accounting information systems students. An analysis of the results provides some support for the use of declarative-based KBS explanations for declarative knowledge transfer, strong support for the use of declarative-based KBS explanations for procedural knowledge transfer, but a lack of support for the use of procedural-based KBS explanations for procedural knowledge transfer. The results suggest that organizations may be able to improve the efficiency and effectiveness of training programs for knowledge workers through the application of KBS that include declarative knowledge-based explanations.


Author(s):  
Susan Mills

The term conceptual understanding was analyzed to determine how educators can help students attain understanding in a concept based curriculum. The investigator sought to establish what salient dimensions and conditions supported conceptual understanding. A dimensional analysis of the term conceptual understanding was employed through a review of the literature in mathematics, science, psychology, and nursing education. The salient dimensions of conceptual understanding were identified as: factual and procedural knowledge, connections, transfer, and metacognition. The supporting properties included: meaningful learning activities, memorization, and misconceptions. The results substantiate conceptual understanding as a process. When this process is utilized by nurse educators, students may better connect and organize knowledge aiding in the knowledge transfer that occurs between theory and practice.


2011 ◽  
Author(s):  
Michelle Martin ◽  
Harrison J. Kell ◽  
Stephan J. Motowidlo
Keyword(s):  

2014 ◽  
Author(s):  
Charlyn W. Shaw ◽  
Rayne A. Sperling ◽  
David C. Falvo ◽  
Peter T. Olszewski

1999 ◽  
Vol 38 (03) ◽  
pp. 154-157
Author(s):  
W. Fierz ◽  
R. Grütter

AbstractWhen dealing with biological organisms, one has to take into account some peculiarities which significantly affect the representation of knowledge about them. These are complemented by the limitations in the representation of propositional knowledge, i. e. the majority of clinical knowledge, by artificial agents. Thus, the opportunities to automate the management of clinical knowledge are widely restricted to closed contexts and to procedural knowledge. Therefore, in dynamic and complex real-world settings such as health care provision to HIV-infected patients human and artificial agents must collaborate in order to optimize the time/quality antinomy of services provided. If applied to the implementation level, the overall requirement ensues that the language used to model clinical contexts should be both human- and machine-interpretable. The eXtensible Markup Language (XML), which is used to develop an electronic study form, is evaluated against this requirement, and its contribution to collaboration of human and artificial agents in the management of clinical knowledge is analyzed.


2012 ◽  
pp. 117-131 ◽  
Author(s):  
O. Golichenko

The problems of multifold increase of technological potential of developing countries are considered in the article. To solve them, i.e. to organize effectively tapping into global knowledge and their absorption, the performance of two diffusion channels is considered: open knowledge transfer and commercial knowledge transfer. The models of technological catching-up are investigated. Two of them are found to give an opportunity of effective use of international competition and global technology knowledge as a driver of technology development.


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