Knowledge Capture Systems

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Knowledge Capture Systems


Knowledge Capture SystemsVersión en línea babababa por Vân Anh Lê 1 What is the main purpose of knowledge capture systems? a To store financial records b To capture and preserve expert knowledge c To replace human experts completely d To control computer hardware 2 Concept maps were developed based on whose learning theory? a Ausubel’s learning psychology theory b Skinner’s behaviorism c Piaget’s constructivism d Vygotsky’s social learning theory 3 What type of knowledge is best represented by Context-based Reasoning (CxBR)? a Theoretical knowledge b Tactical knowledge c Emotional knowledge d Statistical knowledge 4 Which of the following tools is used for knowledge modeling based on visual maps? a Semantic networks b Decision trees c Concept maps d Neural networks 5 In a concept map, general and inclusive concepts are placed: a At the bottom b On the left side c In random order d At the top 6 Which software tool extends the use of concept maps for browsing knowledge domains? a CmapTools b WordNet c CITKA d MindManager 7 What is CITKA designed to do? a Simulate physical systems b Create graphical models c Record interviews manually d Automate tactical knowledge acquisition through intelligent questioning 8 Which of the following is an example of a “mission context” in CxBR? a Driving in city traffic b Drive to work c Traffic light actions d Engage cruise control 9 What happens when a driver exits a highway in the CxBR model? a The system restarts b A transition to a new context occurs c The mission context ends d All subcontexts are deleted 10 Which of the following best explains the hierarchical nature of CxBR? a It organizes contexts from general missions to specific subcontexts b It operates in random decision cycles c It ignores previous contexts d It only uses flat rule-based systems 11 What is one major barrier to using automated knowledge capture systems? a High cost of hardware b Limited data storage c Slow computer processing d Lack of prior understanding of knowledge structure and type 12 How much reduction in person-hour effort did developers estimate when using CITKA? a 10–20% b 30–40% c Up to 80% d 100% 13 What does the “learning by observation” research trend suggest? a Knowledge can be captured by watching how tasks are performed b Machines should replace observation c Experts should avoid teaching others d Tacit knowledge cannot be observed 14 How do concept maps contribute to meaningful learning according to Ausubel’s learning theory? a They encourage rote memorization of terms b They allow learners to randomly connect unrelated concepts c They help learners integrate new knowledge into existing conceptual frameworks by identifying relationships among ideas d They replace all forms of traditional instruction 15 How does CITKA reduce the manpower required in knowledge acquisition? a By automatically translating expert documents into rules b By generating intelligent, adaptive queries that elicit tactical knowledge directly from experts, forming a structured context base c By using AI to replace experts completely d By simplifying interviews into multiple-choice questionnaires 16 Which module in CITKA holds the evolving context base? a KEI b SMEI c QRB d KEDB 17 Who developed the idea of concept maps? a Gonzalez and Ahlers b Novak c Thorndike and Wescort d Ford and Cañas 18 What does a “main context” in CxBR represent? a The entire organization’s strategy b An emotional response c Major situations d A visual element of a concept map 19 What happens when a driver exits a highway in the CxBR model? a The system restarts b The mission context ends c All subcontexts are deleted d A transition to a new context occurs 20 From a knowledge engineer’s perspective, what is the primary challenge in automating the elicitation of expert knowledge? a Building emotional rapport with the expert b Reducing hardware costs c Designing attractive user interfaces d Identifying the nature and structure of knowledge early enough to choose the right capture paradigm

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Knowledge Capture SystemsVersión en línea

por Vân Anh Lê

What is the main purpose of knowledge capture systems?

Concept maps were developed based on whose learning theory?

What type of knowledge is best represented by Context-based Reasoning (CxBR)?

Which of the following tools is used for knowledge modeling based on visual maps?

In a concept map, general and inclusive concepts are placed:

Which software tool extends the use of concept maps for browsing knowledge domains?

What is CITKA designed to do?

Which of the following is an example of a “mission context” in CxBR?

What happens when a driver exits a highway in the CxBR model?

Which of the following best explains the hierarchical nature of CxBR?

What is one major barrier to using automated knowledge capture systems?

How much reduction in person-hour effort did developers estimate when using CITKA?

What does the “learning by observation” research trend suggest?

How do concept maps contribute to meaningful learning according to Ausubel’s learning theory?

How does CITKA reduce the manpower required in knowledge acquisition?

Which module in CITKA holds the evolving context base?

Who developed the idea of concept maps?

What does a “main context” in CxBR represent?

What happens when a driver exits a highway in the CxBR model?

From a knowledge engineer’s perspective, what is the primary challenge in automating the elicitation of expert knowledge?