A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Self-determined motivation and associated factors among health professions students in distance learning: a cross-sectional study in Morocco. | LitMetric

Purpose: Learning motivation is an important factor in the teaching learning process in a digital environment. This study aims to examine self-determined motivation levels and associated factors among health professions students in distance learning activities.

Methods: A cross-sectional, analytical, quantitative, multicenter study was conducted among health professions students from February 15, 2022, to July 31, 2022. Students' self-determined motivation was assessed using a self-administered instrument. It consisted of 16 items categorized into four dimensions: intrinsic motivation, external regulation, identified regulation, and amotivation. It was based on 7-point Likert scale, ranging from 1 (strongly disagree) to 7 (strongly agree). Student engagement was examined using 15 items classified into the following subscales: behavioral, emotional, and cognitive engagement. A correlation between student motivation and engagement was performed. Univariate and multivariate logistic regression analyses were used to identify factors associated with students' self-determined motivation in distance learning activities.

Results: Of 1,121 students invited to the study, 1,061 valid questionnaires were received, giving a response rate of 94.6%; 595 participants (56.1%) were self-determined in distance pedagogical activities. Multiple regression analysis showed that ethnicity (adjusted odds ratio [aOR], 0.25; 95% confidence interval [CI], 0.08-0.73; p=0.012), educational level (aOR, 1.65; 95% CI, 1.16-2.34; p=0.005), distance learning environment (aOR, 1.65; 95% CI, 1.19-2.29; p=0.003), and student engagement: (aOR, 2.9; 95% CI, 2.21-3.80; p<0.001) were the significant factors associated with students' self-determined motivation in distance learning.

Conclusion: This study predicted some factors influencing students' self-determined motivation. Health professions teachers need to be encouraged to adopt effective pedagogical practices in order to maintain and develop student motivation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020061PMC
http://dx.doi.org/10.3946/kjme.2023.247DOI Listing

Publication Analysis

Top Keywords

self-determined motivation
16
distance learning
16
health professions
12
professions students
12
associated factors
8
factors health
8
students distance
8
students' self-determined
8
student engagement
8
aor 165
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!