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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahed University</PublisherName>
				<JournalTitle>Daneshvar Medicine</JournalTitle>
				<Issn>2716-9723</Issn>
				<Volume>25</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2020</Year>
					<Month>09</Month>
					<Day>26</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Discrimination between normal and educational procrastination students based on internet addiction</ArticleTitle>
<VernacularTitle>Discrimination between normal and educational procrastination students based on internet addiction</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>10</LastPage>
			<ELocationID EIdType="pii">1796</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Arash</FirstName>
					<LastName>Shahbazian</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Jafar</FirstName>
					<LastName>Bahadorikhosroshahi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>09</Month>
					<Day>26</Day>
				</PubDate>
			</History>
		<Abstract>Background and Objective: Computer and internet tools are necessary to facilitate the living of people today that had created risks. One of these risks can develop in the students&amp;#39; educational procrastination. This study aimed to discriminate normal students from those with educational procrastination based on internet addiction.

Materials and Methods: The research method of this study was causal-comparative. The population consisted of dormitory students studying at universities of Azerbaijan in the academic years 2015-2016 who according to Morgan table, 200 of them were selected by multi-stage cluster sampling. Data were collected from questionnaires for procrastination Solomon and Rasblvm and internet addiction. Data using cluster analysis and discriminant analysis were analyzed. 

Results: The results showed that the detection of the first cluster of students with high levels of valuation prepared for the exam, preparing assignments, preparation for addiction to internet articles that clustering students with high academic procrastination and called internet addiction. The second cluster includes students with lower levels of valuation prepared for the exam, preparing assignments, preparation for addiction to internet articles that clusters of students with low academic procrastination was called internet addiction. Detection function results showed that 81 cases (77.9%) of students with academic procrastination and 59 cases (61.5 percent) were diagnosed correctly as ordinary students.

Conclusion: Educational procrastination and internet addiction are important factors that should be education; education students are considered with proper education and teach time management and effective use of the internet.</Abstract>
			<OtherAbstract Language="FA">Background and Objective: Computer and internet tools are necessary to facilitate the living of people today that had created risks. One of these risks can develop in the students&amp;#39; educational procrastination. This study aimed to discriminate normal students from those with educational procrastination based on internet addiction.

Materials and Methods: The research method of this study was causal-comparative. The population consisted of dormitory students studying at universities of Azerbaijan in the academic years 2015-2016 who according to Morgan table, 200 of them were selected by multi-stage cluster sampling. Data were collected from questionnaires for procrastination Solomon and Rasblvm and internet addiction. Data using cluster analysis and discriminant analysis were analyzed. 

Results: The results showed that the detection of the first cluster of students with high levels of valuation prepared for the exam, preparing assignments, preparation for addiction to internet articles that clustering students with high academic procrastination and called internet addiction. The second cluster includes students with lower levels of valuation prepared for the exam, preparing assignments, preparation for addiction to internet articles that clusters of students with low academic procrastination was called internet addiction. Detection function results showed that 81 cases (77.9%) of students with academic procrastination and 59 cases (61.5 percent) were diagnosed correctly as ordinary students.

Conclusion: Educational procrastination and internet addiction are important factors that should be education; education students are considered with proper education and teach time management and effective use of the internet.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Academic procrastination</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Internet addiction</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">cluster analysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://daneshvarmed.shahed.ac.ir/article_1796_90599c8fdd2f6e7a03ad173e2f535751.pdf</ArchiveCopySource>
</Article>
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