Reference Expertise: |
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| Abstract: | Past trends in reference instruction, query analysis and proliferation of reference tools classed by primary functions into a general typology anticipated the use of paradigm logic, templates, search strategies, and systematic searching in applied Artificial Intelligence research and design of expert system, especially referral and decision-support systems. The approach, methodologies, and technique employed in basic reference and subject-area reference instruction in four graduate library schools, developed first at the University of Maryland after 1976, are reviewed. The advantages and limitations of the latter are discussed to suggest the interplay of personal service, manual tools, and computerized systems for holistic reference programs. Librarians' transition to the automated tools using AI methods might be improved by introducing paradigms, typologies, strategies, and a systems approach in reference instruction for professionals and more generally in bibliographic instruction. |
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