A survey personal information management status of the students of Ahvaz jundishapur university of medical sciences on the Basis of jones model by emphasis on electronic information

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Aim

A Survey of personal information management students of the students of Ahvaz jundishapur university of medical sciences of three aspect Knowelege, skill and seven activities personal information management include: in finding and re- Finding ,In storage, In organization, In maintaining, In security, In measuring and evaluation, In making sense of things , On the basis of is jones Model.

Method

this study to way Survey, descriptive and analytical Do. and of questionnaire corrected mojaver 1392 used to determined total member students 1300 member and white use of corjsi- morgan table member approximate sample were 297 member determine of amonge 297 questionnaire Contained, 297 questionnaire returned and work analyzing data of descriptive statistical (freqvency, percent Freqvency, mean and std deviation) and for determine semantics relation of inferential statistical used of ( test correlation sperman and Pearson ).

Finding

finds descriptives obtain of study showed that averages Knowelege, Skill, and sum seven activities students to sequential equal white 1.22,2.05,2.50 and is of level non desirability and partly desirability. in this study to role three variable educational degree Age, college place educational of of personal information management students pay and determined that of among this reasons personal information management at between colleages diffrents attations white there was significant level 0.05 relation significant. and there was among students to degree, age group different relation Significant.

Conclusion

status personal information management students at have level relatively bad that had period at direct better aware attribute tools personal information management and promontion skills students at

Language:
Persian
Published:
Journal of Knowledge Retrieval and Semantic Systems, Volume:7 Issue: 25, 2021
Pages:
145 to 174
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