<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Health Education and Health Promotion</title>
<title_fa>Health Education and Health Promotion</title_fa>
<short_title>Health Educ Health Promot</short_title>
<subject>Medical Sciences</subject>
<web_url>http://hehp.modares.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2588-5715</journal_id_issn>
<journal_id_issn_online>2345-2897</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi></journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1402</year>
	<month>7</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2023</year>
	<month>10</month>
	<day>1</day>
</pubdate>
<volume>11</volume>
<number>4</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Factors Associated with the Use of E-Learning among Medical University Students; An Application of Technology Acceptance Model</title>
	<subject_fa></subject_fa>
	<subject></subject>
	<content_type_fa></content_type_fa>
	<content_type></content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span style=font-size:11pt&gt;&lt;span style=line-height:normal&gt;&lt;span style=font-family:Calibri,sans-serif&gt;&lt;b&gt;&lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt;&lt;span style=color:#4472c4&gt;Aims:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/b&gt;&lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt; Determining the effective factors in the use of e-learning among students can be useful in providing appropriate and practical solutions to increase the use of e-learning. Therefore, this study aimed to determine the factors related to the behavior of using e-learning among medical university students using the technology acceptance model (TAM) as a conceptual framework.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt; &lt;span style=font-size:11pt&gt;&lt;span style=line-height:normal&gt;&lt;span style=font-family:Calibri,sans-serif&gt;&lt;b&gt;&lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt;&lt;span style=color:#4472c4&gt;Instrument &amp; Methods:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/b&gt; &lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt;This cross-sectional study was conducted among 425 students of Hamadan University of Medical Sciences who were selected by stratified random sampling. The data collection tools included a questionnaire, including demographic data and TAM constructs. The data were analyzed in SPSS 23 software using one-way analysis of variance, independent t-test, Pearson correlation coefficient, and linear regression analysis.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt; &lt;span style=font-size:11pt&gt;&lt;span style=line-height:normal&gt;&lt;span style=font-family:Calibri,sans-serif&gt;&lt;b&gt;&lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt;&lt;span style=color:#4472c4&gt;Findings:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/b&gt; &lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt;The age range of participants was between 18 and 54 years with an average age of 24.2±3.96 years. The history of participating in e-learning classes was significantly related to all the constructs of the &lt;/span&gt;&lt;/span&gt;&lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt;TAM (p&lt;0.05). Also, undergraduate and graduate students had a significantly more positive attitude, higher perceived usefulness, and more usage intention and behavior concerning e-learning than professional doctorate students (p&lt;0.05). Attitude (β=0.394), perceived usefulness (β=0.313), and external variables (β=0.196) were respectively the strongest predictors of intention to use e-learning (p&lt;0.05). The intention of e-learning usage directly and significantly predicted the behavior of using it (β=0.483, p&lt;0.05).&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt; &lt;span style=font-size:11pt&gt;&lt;span style=line-height:normal&gt;&lt;span style=font-family:Calibri,sans-serif&gt;&lt;b&gt;&lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt;&lt;span style=color:#4472c4&gt;Conclusion:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/b&gt; &lt;span style=font-size:10.0pt&gt;&lt;span style=font-family:Cambria,serif&gt;The TAM constructs predict the behavior of using e-learning among students.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Education, Distance,Educational Technology,Education, Medical,Behavior,</keyword>
	<start_page>667</start_page>
	<end_page>673</end_page>
	<web_url>http://hehp.modares.ac.ir/browse.php?a_code=A-10-33774-1&amp;slc_lang=en&amp;sid=4</web_url>


<author_list>
</author_list>


	</article>
</articleset>
</journal>
