IDENTIFYING PREDICTORS OF ACHIEVEMENT IN THE NEWLY DEFINED INFORMATION LITERACY: A NEURAL NETWORK ANALYSIS.

Information Literacy is a concept that evolved as a result of efforts to move technology-based instructional and research efforts beyond the concepts previously associated with "computer literacy." While computer literacy was largely a topic devoted to knowledge of hardware and software, information...

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Published in:College Student Journal Vol. 43; no. 4; pp. 1084 - 1094
Main Authors: Sexton, Randall, Hignite, Michael, Margavio, Thomas M., Margavio, Geanie W.
Format: Article
Published: Project Innovation Austin LLC Dec2009 Part A
Subjects:
Online Access:View this record in EBSCOhost
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        atl: IDENTIFYING PREDICTORS OF ACHIEVEMENT IN THE NEWLY DEFINED INFORMATION LITERACY: A NEURAL NETWORK ANALYSIS.
      aug:
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          Sexton, Randall
          Hignite, Michael
          Margavio, Thomas M.
          Margavio, Geanie W.
        affil:
          Professor Computer Information Systems
          Associate Professor School of Accountancy Missouri State University
      su:
        Information literacy
        Information skills
        Artificial neural networks
        Computer literacy
        College students
        Group identity
        Critical thinking
        Information superhighway
        Literacy programs
        Academic achievement
      sug:
        subj:
          Information literacy
          Information skills
          Artificial neural networks
          Computer literacy
          College students
          Group identity
          Critical thinking
          Information superhighway
          Literacy programs
          Academic achievement
      ab: Information Literacy is a concept that evolved as a result of efforts to move technology-based instructional and research efforts beyond the concepts previously associated with "computer literacy." While computer literacy was largely a topic devoted to knowledge of hardware and software, information literacy is concerned with students' abilities to construct/collect and analyze information for effective decision making. This study was designed to assess the information literacy achievement levels of college students and to identify variables associated with positive student achievement. Predictors of achievement on a standardized test of information literacy were identified, using a standardized instrument to capture student information literacy scores, and a Neural Network (NN) statistical analysis. Successful predictors included ACT scores, undergraduate major, number of classes, number of tasks completed, high school grade point average, ethnicity and work status.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Copyright of College Student Journal is the property of Project Innovation Austin LLC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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