Thursday, January 15, 2009
Book Lust
Tuesday, August 26, 2008
More helpful websites
ALA Adult Learners Resource Center (http://www3.baylor.edu/LIRT/adultlearning.htm)
The Librarian's Weapon of Mass Instruction (http://www.libraryinstruction.com)
Elderhostel Adventures in Lifelong Learning (http://www.elderhostel.org)
Saturday, August 2, 2008
Internet
Through Google search engine I've found a another great website that supports my theme of lifelong learning called Ageless Learner: Curious For Life! (http://agelesslearner.com/). This is an educational website &
Multimedia
http://www.youtube.com/watch?v=FzJDylq_UTQ
Also included below is a photograph* illustrating an approachable and user-friendly reference area in a busy public library. Both this image and above video support my theme of lifelong learning using library resources.
*Pitney, B. & Slote, N. (2007). Going mobile: The KCLS roving reference model. Public Libraries, 46(1), 54-68. Photo is from page 61. Past issues of Public Libraries may be accessed from http://www.ala.org/ala/pla/plapubs/publiclibraries/publiclibraries.cfm
Sunday, July 20, 2008
Citation Pearl-Growing Search in ASC
Database: Academic Search Complete (ASC)
Strategy: From a previous search using "Lifelong Learning" and "Librar*" as my initial search terms I found an article that's particularly pertinent to my topic, so I use it as my "pearl" and look up its record to see what descriptors may be useful to to retrieve more articles like it.
Title:
Authors:
Barber, Peggy
Source: Reference & User Services Quarterly; Fall2002, Vol. 42 Issue 1, p66, 10p
Subject Terms:
Abstract:
So I added "literacy" to my next search and retrieved 28 hits, with my "pearl" as hit #22:
Evaluation: This strategy greatly improves recall, and that's why it's also called the "snowballing approach." The search terms can be modified along the way depending on the retrieved results. For example from record #23 above there are subject terms that may be incorporated in the next search to retrieve more pertinent results in this particular database:
- Subject Terms:
- *PUBLIC libraries
*INFORMATION literacy
From doing these search excercises I find that each search strategy is best suited for a particular information need, and oftentimes a combination of strategies yields the best results. For instance if the search topic is fairly narrow, then one may start out with the most specific facet first, then if necessary modify the search by the citation pearl-growing approach to improve recall. If the search topic is broad, then either the successive fractions or the building block approach is a more appropriate starting point.
Friday, July 18, 2008
Successive Fractions Search in Project MUSE
Strategy: Start with the broadest concept, "programs"--> 17365 hits, then search "public libra*" within results ---> 4123 hits, then search "lifelong learning" within results ---> 237 hits
Below is the record of a good hit:
You searched for: programs in All Fields w/Text AND public AND librar* in All Fields w/Text AND lifelong AND learning in All Fields w/Text
| Search Within Results: | | | |
| Modify Search OR |
9. Gold, Helen E.
Engaging the Adult Learner: Creating Effective Library Instruction
portal: Libraries and the Academy - Volume 5, Number 4, October 2005, pp. 467-481 - Article
[View HTML] [View PDF]
Library orientation for college students -- Florida -- Saint Petersburg.
Eckerd College. Library.
Evaluation: This strategy is similar to the building block search, except that one starts the search with the broadest concept, then narrows it down successively using Boolean limiters. For this particular topic and this database, it does not seem to matter what order the other concepts are searched within the results from the starting broadest concept. For instance, after getting 17365 hits for "program," I can search for "public libra*" within results and get 4123 hits as above, or I can search for "lifelong learning" within results and get a lot less, 481 hits; either way, when I search within results for the remaining concept, the outcome is exactly the same: 237 hits, same documents, same order of relevancy! Logically, even if there are a million concepts to search through successively, the order of the last two concepts can be switched and the end results would still be the same...neat!
Specific Facet Search in LibLit
My search topic is lifelong learning/resources/ in public libraries. This search starts with the topic's most specific facet which is “lifelong learning.” To increase my chances of finding relevant hits I also include a related term, “continuous education.” I search Library Literature (LibLit) since my next specific facet, “public libraries,” would be partly covered by this database for library literature. Below is the record of a good hit:
| Search Results: |
| 1776 Records found for (lifelong learning) |
| In Library Lit & Inf Full Text |
| ||||||||
| Title: | 'C' stands for 'Continuing...' | |||||||
|---|---|---|---|---|---|---|---|---|
| Personal Author: | ||||||||
| Journal Name: | ||||||||
| Source: | ||||||||
| Publication Year: | 2007 | |||||||
| Subject(s): | ||||||||
| ISSN: | 0268-893X | |||||||
| Language of Document: | English | |||||||
| Document Type: | Feature Article | |||||||
| Database: | Library & Information Science | |||||||
| Accession Number: | 200734901050004 | |||||||
Evaluation: This is an efficient way to start a search, especially in a topic with more than two concepts (facets), provided the user knows which concept is most specific in the search topic. Otherwise one can search each facet individually to find the most specific facet, i.e. the one that yields the lowest number of hits. In this case the more specific facet is quite evident without having to actually conduct individual searches for each facet. The initial 1776 hits obviously needs to be narrowed down to a manageable number, and Boolean limiters (e.g. AND, WITH) may be used to incorporate the remaining facets in the search topic (in this case "public libraries" and "resources/programs"). In other words, a building block search is the next logical step here. Non-subject limiters such as language, document type, and year of publication can also be applied to further narrow down the search.