Occupational Analysis Technology: Expanded Role in Development of Cost-Effective Maintenance Systems. Final Report.

Autor/in	Foley, John P., Jr.
Institution	Air Force Inst. of Tech., Wright-Patterson AFB, OH. School of Systems and Logistics.
Titel	Occupational Analysis Technology: Expanded Role in Development of Cost-Effective Maintenance Systems. Final Report.
Quelle	(1980), (30 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Cluster Grouping; Competence; Cost Effectiveness; Data Analysis; Data Collection; Equipment Maintenance; Job Analysis; Job Skills; Job Training; Program Effectiveness; Program Improvement; Task Analysis; Technical Education; Training Methods; Training Objectives; United States + Suchen Sie Ihr Suchwort? Eingruppierung; Kompetenz; Kosten-Nutzen-Analyse; Kosten-Nutzen-Denken; Auswertung; Data capture; Datensammlung; Maintenance and repair; Instandhaltung; Arbeitsanalyse; Produktive Fertigkeit; Berufsqualifizierender Bildungsgang; Aufgabenanalyse; Technikunterricht; Didaktik; Trainingsmaßnahme; Training objectiv; Ausbildungsziel; Trainingsziel; USA
Abstract	A study was conducted to refine and coordinate occupational analysis, job performance aids, and elements of the instructional systems development process for task specific Air Force maintenance training. Techniques for task identification and analysis (TI & A) and data gathering techniques for occupational analysis were related. While TI & A and occupational analysis can function as complementary technologies for major improvements in Air Force maintenance, there are substantial incompatibilities between them. TI & A technology identifies specific tasks for specific hardware whereas occupational analysis identifies sets of heterogeneous maintenance tasks across an Air Force Speciality Code (AFSC). Expansion of the latter technology by gathering information on hardware-specific bases is necessary to effectively combine both TI & A and occupational analysis. The gathering of hardware-specific information and the gathering and displaying of data on activities which are common elements of many maintenance tasks such as the use of test equipment and hand tools are proposed. Analysis of this data will identify patterns of personnel/job/hardware relationships for reclustering hardware for improved specialty codes and cost-effective instructional systems development. The identification of such clusters will result in better personnel practices, more cost-effective utilization of Air Force manpower, and improved maintenance. (MN)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC