An article abstract is due as part of the class requirements. Students should pick two articles, written by different authors that address one training topic (for example, needs analysis, evaluation, adult learning etc.) Both ar
n article abstract is due as part of the class requirements. Students should pick two articles, written by different authors that address one training topic (for example, needs analysis, evaluation, adult learning etc.) Both articles should address the same topic. Students can select the topic. Any TRAINING topic found in the Subject Index of the Noe text (page 510) is permissible.
After reading the two articles, the student should write a six page abstract (short research paper) that covers the items noted below. The purpose of the article abstract is to increase awareness of current trends in Training and Development and relate those trends to theories discussed in the texts.
The Abstract should provide a brief overview/summary of the two articles contents, distinguishing the main issues, accurately identifying the impact of each issue on today’s organizations and tying and discussing relevant information to issues found within the text.
Each complete abstract should include the following headings:
Overview/Summary of Both Articles (naming the Article Titles and Authors)
Main Issues of Both Articles
Implied/Factual Impact of the Main Issues on Organizations (i.e. what is the impact of the main issues on organizations)
Text Comparison/Contrast (i.e. how do the articles agree with the Noe text and how do the articles disagree with the Noe text.)
Completed abstracts should be no more than six pages double-spaced. The Abstract should be written using the APA format, including cover page, citations, references page, etc.) The Cover page and References page are in addition to the six pages of your writing.
When the abstract is uploaded in Canvas, it will automatically be scanned through Turnitin to identify similarity with work already published. A similarity score of less than 25% is required for optimum points.