Background: Social networks have had a major influence on students' performance in recent years. These networks create many opportunities and threats for students in various fields. Addiction to social networking and its impact on students' academic performance caused the researcher to design and conduct this study. The purpose of this study was to investigate the relationship between social networking addiction and academic performance of students in Iran. Methods: In this cross-sectional study, 360 students were enrolled by stratified random sampling. The study tools included personal information form and the Bergen Social Media Addiction Scale. Also, the students' overall grade obtained in previous educational term was considered as the indicator of academic performance. Data were analyzed using SPSS-18.0 and descriptive and inferential statistics. Findings: The mean social networking addiction was higher in male students (52.65 ± 11.50) than in female students (49.35 ± 13.96) and this difference was statistically significant (P < 0.01). There was a negative and significant relationship between students' addiction to social networking and their academic performance (r = − 0. 210, p < 0.01). Conclusions: The social networking addiction of the students was at moderate level and the male students had a higher level of addiction compared to the female students. There was a negative and significant relationship between the overall use of social networks and academic performance of students. Therefore, it is imperative that the university authorities take interventional steps to help students who are dependent on these networks and, through workshops, inform them about the negative consequences of addiction to social networks.

Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

ObjectivesThe present study was conducted to evaluate the clinical competence and its related demographic factors among critical care nurses in Kermanshah, Iran.MethodsIn this cross-sectional study, 155 Iranian nurses were selected by stratified random sampling. The data collection tools included a personal information form and the “Nurse Competence Scale”. Data were analyzed using descriptive and analytical statistics.ResultsThe mean score of nurses' clinical competence was equal to 76.14 ± 1.59 out of 100, which was at a “very good level”. The mean score of using clinical competence in practice was equal to 70.38 ± 15.25 out of 100, which was at a “good level”. Among the subscales of clinical competence, the highest mean score was related to “managing situation”. The mean score of “using clinical competence in practice” was related to the subscale of “therapeutic interventions”. There was no statistically significant difference among the score of clinical competence of nurses varying with different gender, age, academic degree, and work experience.ConclusionsThe clinical competence of critical care nurses in Kermanshah was at a “very good” level, and the use of clinical competence in practice was at a “good level.” Given the importance of clinical competencies in practice, nurses' clinical competence should be evaluated objectively and positive measures should be taken to promote the application of their clinical competence.

Objectives Occupational stress can have an adverse effect on mental and physical health and performance of nurses. The aim of this study was to investigate the occupational stress of Iranian critical care unit (CCU) nurses and its related demographic factors. Results In this cross-sectional study, 155 CCU nurses were randomly selected. The Osipow Occupational Stress Questionnaire was used as data collection tool. The mean of nurses’ occupational stress was 210.13 ± 40.87 out of 300, which was at the “moderate-to-high” level. The highest mean of occupational stress was related to the subscale of “Role Overload” (36.30 ± 6.98) and the lowest mean was related to the subscale of “Physical Environment” (33.58 ± 9.76). There was no statistically significant difference between the mean occupational stress and variables of sex, age, academic degree and working experience.

Background: Mobile learning (m-learning) provides a good opportunity for students' lifelong learning. The design and implementation of effective and successful mobile learning requires identification of factors that affect m-learning. The aim of this study was to investigate the factors that affect the intention of students of medical sciences to adopt mobile learning based on theory of planned behavior (TPB). Methods: In this cross-sectional study, 332 students of medical sciences were randomly selected. The study tool was a based a questionnaire that had been designed based on TPB model. Descriptive statistics (mean, standard deviation, frequency and percentage) were calculated. In order to determine the standardized factor loading and assess the study hypotheses, structural equation modeling was used. Composite reliability, average variance extracted, and standardized factor loading were used to determine the convergent validity. Results: The mean of mobile learning readiness was 3.59 ± 0.83. Among the TPB structures, the structures of attitude (β = 0.525) and behavioral control (β = 0.318) had positive and significant effect on the intention to adopt m-learning (P ≤ 0.01). However, the structure of subject norm did not have a significant effect on the intention to adopt m-learning. In general, attitude, behavioral control and subject norm structures were 0.675 determinants of the intention to adopt m-learning (r 2 = 0.675). Conclusions: In this study Mobile learning readiness of the students was at moderate level. Also the results indicated Positive and significant effect of attitude and behavioral control on the intention of students to accept m-learning. The TPB-based model was a suitable model for identifying psychological factors that affect the intention of students of medical sciences to adopt m-leaning. In order to increase the students' acceptance of mobile learning, we suggest that, other psychological, behavioral, social, and cultural factors that affect the acceptance of m-learning should be identified. Educational programs are also suggested to be introduced to students to familiarize them with the mlearning and its application in learning process.

Background New approaches to e-learning and the use of virtual reality technology and serious game in medical education are on the rise. Therefore, the purpose of this study was to compare the effectiveness of lecture method and virtual reality-based serious gaming (VRBSG) method on students learning outcomes about the approach to coma. Methods We adopted a randomized trial method for this study and selected 50 medical students dividing them into experimental and control groups. Students’ learning outcome was measured with a 10-item test. Serious game usability scale was used to evaluate the usability of the serious game. Descriptive and inferential statistics were used for data analysis by SPSS-22 software. Results Students’ familiarity with e-learning and VRBSG was low. The mean usability of a VRBSG was 126.78 ± 10.34 out of 150. The majority of students were eager to be instructed through VRBSG. The mean score of learning outcomes in the experimental group was significantly higher than the control group (t = − 2.457, P = 0.019). Conclusion Students’ learning outcomes in the VRBSG group in the test approach to coma were significantly better than the lecture group. The usability of the serious game instruction method was high. Taken together, instruction through VRBSG had an effective role in medical students’ learning.

Background: Blended learning is a new approach toward improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that may influence the behavioral intention to use of blended learning in medical education.Methods: In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was UTAUT2. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypothesis.Results: The validity and reliability of the model constructs were acceptable. Performance expectance, effort expectance, social influence, facilitating conditions, hedonic motivation, price value and habit had a significant effect on students’ behavioral intention to use of blended learning. Additionally, Behavioral intention to use of blended learning also had a significant effect on students’ actual usage of blended learning (β=0.645, P≤0.01).Conclusion: The study revealed that the proposed framework based on UTAUT2 has good potential to identify factors influencing students' behavioral intention to using of blended learning. Universities can use the results of this study to design and implementation successful blended learning courses in medical education.

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