Compr Health Biomed Stud

Image Credit:Compr Health Biomed Stud

Study of Computer and Technology Literacy of Students at Abadan University of Medical Sciences in the Year 2024

Author(s):
Hassan BostanHassan Bostan1,*
1Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran

Comprehensive Health and Biomedical Studies:Vol. 3, issue 4; e163495
Published online:Apr 30, 2025
Article type:Research Article
Received:Dec 15, 2024
Accepted:Apr 25, 2025
How to Cite:Bostan H. Study of Computer and Technology Literacy of Students at Abadan University of Medical Sciences in the Year 2024. Compr Health Biomed Stud. 2025;3(4):e163495. doi: https://doi.org/10.5812/chbs-163495

Abstract

Background:

Given that we are in the age of technology and witnessing the development of evidence-based medical systems and medicine, in order to implement them in clinical environments, we must first be aware of the level of students' ability to use computers, the Internet, and databases to take the next steps.

Objectives:

Therefore, this study was conducted with the aim of investigating the computer literacy and technology of students at the University of Medical Sciences in the year 2024.

Methods:

The present study was a descriptive-analytical cross-sectional study conducted in the academic year 2024. The data collection tool was a researcher-made questionnaire whose validity and reliability have been confirmed. Test-retest reliability (with a 10-day interval) was performed to determine the reliability of the questionnaire. Thus, 30 students from different fields were asked to answer the questionnaire again after ten days, and finally, the reliability of the questionnaire was confirmed using a correlation coefficient of 86%. The collected data were analyzed using descriptive statistics methods in SPSS 26 software.

Results:

The level of students' familiarity with computers, the Internet, and modern technologies was 45%. In comparing students' basic knowledge about computers, the highest level of familiarity (63%) was related to the ability to use computers and manage files, and the lowest level (46%) was related to the ability to manage the Windows operating system. The level of students' familiarity with the Internet and the web was 53%. Also, the level of students' familiarity with modern technology tools was 19%. Male students had more computer and technology literacy than female students.

Conclusions:

According to the results of the study, it is suggested that planners take the necessary measures to increase computer literacy, especially new technology tools, by organizing and teaching new age technology tools at the university. This way, an important step can be taken to improve the level of computer literacy and technology of students.

1. Background

Computer literacy is commonly defined as basic computer knowledge, skills, and a positive attitude toward using and learning with computers. Like reading and writing, it has been considered a requirement for all students in the current century and commonly refers to the abilities required for all modern citizens to use computers to explore, create, and communicate effectively for everyday life, learning, and work (1-3). However, the scope and definition of computer literacy may change due to the rapid advancement of computer technology. For example, the impact of AI technology on human society has led educational policymakers in many countries to emphasize learning computer programming in university curricula. Therefore, computational thinking has gradually been considered a new dimension of computer literacy and has been included in curriculum standards as new knowledge and attitude (4, 5).
One of the most important application areas of information technology is the field of medical sciences. In recent years, along with the rapid growth of information and communication technology, we have witnessed the use of various computer information systems, electronic health records, telemedicine, artificial intelligence, and the Internet of Things in healthcare and treatment centers, which make timely, accurate, and convenient care services available to care providers and clients at any time and place (6, 7). Advanced technologies enable medical professionals to improve the timeliness of healthcare delivery and make it more accessible to more people, make preventive treatment easier for people, and contribute to their long-term health, and have the potential to make healthcare more effective, organized, and accessible (7, 8).
The rapid development of information technology has presented medical education with numerous new choices, challenges, and opportunities. A variety of technologies, including mannequins, models, simulators, digital systems, and applications, are now widely used in medical education, enabling students to learn about technology with greater motivation (9, 10). Medical science is based on research, and one of the essential tools for research is literature review and the use of sources in databases. Therefore, with the stunning expansion of information technology and the possibility of accessing international networks, a huge transformation has occurred in the storage and retrieval of medical information, and accessing these resources has become one of the most important educational and research tools (11, 12).
Information technology has gradually been introduced in medical education to facilitate learning and improve medical outcomes. The role of technology has expanded from a mere tool for study and research to an integrated approach and use in education. Its use in medical education is constantly advancing. In fact, one of the achievements of information and communication technology is the Internet-based teaching and learning process, which makes its necessity more evident due to issues such as lack of educational space, large amount of available information, and time conflicts of professors (13, 14).

2. Objectives

Therefore, this study was conducted with the aim of investigating the computer literacy and technology of students at the University of Medical Sciences in the year 2024.

3. Methods

The present study is a cross-sectional descriptive-analytical study conducted in 2024. The research population consisted of students studying at Abadan University of Medical Sciences during the 2023 - 2024 academic year. A total of 300 students from Abadan University of Medical Sciences were selected using a stratified random sampling method, proportional to the number of students in each field. After receiving the code of ethics and permission from the university's research council, students were given explanations about the objectives of the study and the confidentiality of their responses and opinions. The criteria for entering the study included voluntary and informed consent and completing at least three academic semesters at the university, while the criteria for exiting the study were non-cooperation in the study and incomplete completion of the questionnaire.
The data collection tool was a researcher-made questionnaire. The validity of the questionnaire was assessed by four health information management and biostatistics experts. Test-retest reliability (with a 10-day interval) was performed to determine the reliability of the questionnaire. Thus, 30 students from different fields [Medicine (MD degree), nursing, operating room, information technology Bachelor's degree] were asked to answer the questionnaire again after ten days, and finally, the reliability of the questionnaire was confirmed using a correlation coefficient of 86%. The questionnaire was designed in three parts: The first part included four main questions related to knowledge and skills in working with computers; the second part related to the Internet and searching the Internet and databases; and the third part consisted of four main questions related to new technology skills. In the section of questions related to knowledge and skills in using information technology, the desired criteria were presented before each question to guide the respondents.
To measure the answers to the questions, a five-point Likert scale was used, ranging from zero to four, with zero for no skill and four for excellent skill, or zero for very little use and four for very much use. The average score obtained in each section is expressed as a percentage for ease of comparison. To give meaning to the data that were collected, descriptive statistical tools were employed, namely: Frequency count, percentage, arithmetic mean, standard deviation, weighted mean, one-way ANOVA, Tukey’s test, Pearson’s product-moment coefficient of correlation, and the Fisher’s t-test. In testing the hypotheses, the decision on whether the null hypothesis was accepted or rejected was guided by the following decision rule: Accept the null hypothesis if and when the computed value was less than the critical or tabular value or the P-value was greater than α; on the other hand, reject the null hypothesis if and when the computed value was equal to or greater than the critical or tabular value or the P-value was equal to or less than α. The hypotheses testing assumed that the level of significance would equal α = 0.05 in a two-tailed test. Available statistical software or packages were utilized for accuracy and precision in data processing. The collected data were analyzed using descriptive statistics in the form of frequency, frequency percentage, and mean in SPSS 26 software.

4. Results

In this study, 350 questionnaires were distributed among paramedical, nursing, medical, and health students. After collection, 50 questionnaires that were not completely filled out were eliminated, resulting in 300 questionnaires being analyzed. The largest number of students were undergraduates and were related to the nursing field. The results of the study showed that the level of familiarity of students with computers was 55%. In comparing the basic knowledge of students about computers, the highest level of familiarity (63%) was related to the ability to use computers and manage files, while the lowest level of familiarity (46%) was related to the ability to manage the Windows operating system. In comparing the basic knowledge of students about computers, the highest level of familiarity (65%) was related to paramedical fields, and the lowest level of familiarity (49%) was related to nursing students (Table 1).
Table 1.Determining the Knowledge of Students at Abadan University of Medical Sciences About Computers
Faculties; Computer SkillsMedical FieldsNursing FieldsParamedical FieldsHealth FieldsSum
Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %
Familiarity with basic concepts of information technology2502.2552.3582.2552.1754
Ability to use a computer and manage files2.1522503.2803752.563
Ability to manage the Windows operating system1.7421.6402.3571.9471.846
Ability to work with Microsoft Office software packages (Word, PowerPoint, Access, and Excel)2.3572.1522.6652.4602.358
Overall average2501.9492.6652.3592.255
In terms of the ability to use the Microsoft Office software package, the highest skill was related to PowerPoint (70%), while the lowest skill was related to Access (6%). The level of familiarity of students with the Internet and the Web was 53%. In comparing students' basic knowledge about the Internet, the highest level of familiarity (55%) was related to the skill of being able to use the Internet, and the lowest level of familiarity (46%) was related to the skill of using the Outlook program. In comparing students' skills and familiarity with the Internet, the highest level of familiarity (60%) was related to paramedical students, and the lowest level of familiarity (48%) was related to health students (Table 2).
Table 2.Determining the Knowledge of Abadan University of Medical Sciences Students About the Internet
Faculties; Internet SkillsMedical FieldsNursing FieldsParamedical FieldsHealth FieldsSum
Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %
Familiarity with basic concepts of the Internet and the World Wide Web2.2551.9472.3571.947251
Ability to use the Internet2.3572.3572.4601.9472.255
Ability to use e-mail2.6652.4602.8702.3572.563
Basic knowledge and skills in using Outlook2.1522502.1521.3321.846
Total average2.3572.15532.4601.8482.153
The comparison of students' skills and familiarity with the Internet also showed that male students had a higher level of skill and knowledge than female students, with 59% compared to 41%. In the case of e-mail, 80% of the students had an e-mail address. The level of familiarity of students with different approaches to searching for information on the Internet was 54%. Most students (84%) used the usual and simple search method to search for information by typing the desired phrase in the search box of a search engine such as Google and Yahoo. In comparison, paramedical students used more diverse search methods (60%, Table 3).
Table 3.Study of the Status of Students of the University of Medical Sciences Using different Approaches to Search for Information on the Internet
Faculties; Methods Used to Search for Information on the InternetMedical FieldsNursing FieldsParamedical FieldsHealth FieldsSum
Average Score Out of 4Average Score %Average Score out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %
Simple and common search such as: Typing the desired phrase in the search box of a search engine3.6903.3823.6903.1772.784
Advanced search such as: Using the advanced search facilities of the search engine using Boolean operators, OR, AND, NOT for searching2.8702.8653.2803.382374
Using Boolean operators, OR, AND, NOT for searching2.1522502.1522.8652.2554
Restricting the search for more precise retrieval such as: Using quotation marks, parentheses, plus and minus operators (- and +) shortening phrases in the search (truncation), etc.1.6401.3321.8451.6251.535
Using a topic guide such as the list of menus available in the topic search engine1.3251.2351.4351.1271.2525
Average total2.8552.12522.42602.38552.1454
Also, the comparison of the two genders showed that boys had more skills in searching for information, with 54% compared to 46%. The level of familiarity of students with new technology skills was 19%. Students were most likely to use online discussion groups (chat rooms, text chat, voice chat, and online conferences) at 30%. The lowest level of familiarity, at 14%, was related to the skill of using programming languages. In comparison, paramedical students used online discussion group methods (chat rooms, text chat, voice chat, and online conferences) at 25% (Table 4).
Table 4.Determining the Knowledge of Abadan University of Medical Sciences Students About New Technology Skills
Faculties; Methods Used for New TechnologiesMedical FieldsNursing FieldsParamedical FieldsHealth FieldsSum
Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %Average Score Out of 4Average Score %
Skill in using programming errors0.6150.371250.4100.5714
Skill in using artificial intelligence and its tools0.370.251.1270.9220.615
Skill in using online discussion groups (chat rooms, text chat, voice chat, and online conferences)9221.3321.4351.3321.230
Skill in using ChatGpt0.6257170.6150.4102.316
Total average0.6170.6151250.7181.119
Also, the comparison of the two genders showed that boys had more skills in using artificial intelligence and its tools (65% to 35%).

5. Discussion

The present study was conducted to investigate the computer literacy of students at Abadan University of Medical Sciences. Although most students had a good knowledge of basic skills such as the ability to use a computer and tasks like file management, using toolbars, desktop settings, setting time and date, printer settings, burning CDs, and managing hard disks, their level of familiarity with skills such as installing Windows, installing various drives like graphics cards and motherboards, restoring the system to previous settings, and installing hardware equipment such as scanners and printers was at an average level. Additionally, their familiarity with new technologies such as ChatGPT and artificial intelligence tools in the field of education and research was very low.
In a study by Sarbaz and Vehedian on students at the Faculty of Paramedical and Health Sciences of Mashhad University of Medical Sciences, most students had an average level of familiarity with computers and their equipment (54%), and only 9% of students had an advanced level of familiarity with computers and their equipment (15). This was somewhat consistent with our study and showed good growth in computer literacy. The results of the study also showed that students' attitudes towards basic computer concepts were good, which was consistent with the studies of Son et al. (16), Atay et al. (17), Maag (18), and Robabi and Arabisarjou (19).
In a study by Kong et al. aimed at designing, implementing, and evaluating an AI literacy course for university students in 2021, the findings showed that participants with diverse study backgrounds and of both genders could understand the concepts of machine learning, supervised learning, regression, classification, unsupervised learning, and clustering (20). This was not consistent with the present study. Of course, the field of new technologies is somewhat underdeveloped and requires more training and the inclusion of more units and workshops for students. Artificial intelligence is profoundly impacting our daily lives and workplaces. To face the challenges and seize the opportunities associated with AI, university students need to gain a basic understanding of AI. Assessing students’ AI literacy status is essential for implementing effective programs that enhance AI capabilities.
A 2023 study by Hornberger aimed to develop and validate an AI literacy test and provide initial insights into the current state of AI literacy among German university students. The results showed that there are significant differences in AI literacy among students, with AI literacy being higher among students with a background in technical education or previous experience in AI. The results showed that there is a need for effective AI courses for a broader audience of students who use AI in their daily lives and will use AI tools in their future careers. Furthermore, university professors should consider students’ prior knowledge and experience when designing and teaching AI courses (21).
In a study by Zhang et al. in 2024 titled "College Students’ Literacy, ChatGPT Activities, Educational Outcomes, and Trust from a Digital Divide Perspective", the findings indicated that US college students have a greater relationship with AI literacy than with general digital literacy. This is not consistent with the findings of our study (22).
In examining the relationship between the dimensions of computer literacy, demographic variables between semester and grade point average, there was a relationship with the dimensions of computer literacy, which can be attributed to taking more courses related to technology and computers. It should be noted that the field of study is related to computer literacy, and health information technology and library science students in the medical field had the highest computer and technology literacy due to the relevance of the course content.
The findings of the present study showed that overall, students had a good familiarity with the basic concepts of computers and the Internet, but they had low literacy with the concepts of new technological tools, including programming and AI tools. Therefore, planning to teach new skills in medical universities is essential.

5.1. Conclusions

Since students' computer literacy is an introduction to learning healthcare technologies, it is recommended that measures be taken to increase the computer literacy of medical students so that they can effectively and efficiently play an active role in the clinical environment and provide patient care. Therefore, it is recommended to relevant decision-makers and planners to take an important step towards increasing computer literacy and learning new age technology tools by holding workshops or changing curricula and adding rich course units.

5.2. Limitations

Among the limitations of this study are the failure to complete some questionnaires by students, and another limitation is the failure to examine all variables on students' computer literacy, such as the economic, social, and cultural conditions of families that can have a positive effect on computer literacy.

Acknowledgments

Footnotes

References

  • 1.
    Tsai M, Liang J, Hsu C. The Computational Thinking Scale for Computer Literacy Education. J Educ Comput Res. 2020;59(4):579-602. https://doi.org/10.1177/0735633120972356.
  • 2.
    Allsop Y. Assessing computational thinking process using a multiple evaluation approach. Int J Child Comput Interact. 2019;19:30-55. https://doi.org/10.1016/j.ijcci.2018.10.004.
  • 3.
    Araujo ALSO, Andrade WL, Guerrero DDS, Melo MRA. How many abilities can we measure in computational thinking? A study on Bebras challenge. Proceedings of the 50th ACM technical symposium on computer science education. Minnesota, USA. 2019. p. 545-51.
  • 4.
    Cheng S, Chauhan B, Chintala S. The rise of programming and the stalled gender revolution. Sociol Sci. 2019;6:321-51.
  • 5.
    Nimavat N, Singh S, Fichadiya N, Sharma P, Patel N, Kumar M, et al. Online Medical Education in India - Different Challenges and Probable Solutions in the Age of COVID-19. Adv Med Educ Pract. 2021;12:237-43. [PubMed ID: 33692645]. [PubMed Central ID: PMC7939236]. https://doi.org/10.2147/AMEP.S295728.
  • 6.
    Sheikh A, Anderson M, Albala S, Casadei B, Franklin BD, Richards M, et al. Health information technology and digital innovation for national learning health and care systems. Lancet Digit Health. 2021;3(6):e383-96. [PubMed ID: 33967002]. https://doi.org/10.1016/S2589-7500(21)00005-4.
  • 7.
    Haleem A, Javaid M, Singh RP, Suman R. Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sens Int. 2021;2:100117. [PubMed ID: 34806053]. [PubMed Central ID: PMC8590973]. https://doi.org/10.1016/j.sintl.2021.100117.
  • 8.
    Cantiello J, Kitsantas P, Moncada S, Abdul S. The evolution of quality improvement in healthcare: Patient-centered care and health information technology applications. J Hosp Adm. 2016;5(2). https://doi.org/10.5430/jha.v5n2p62.
  • 9.
    Akhvlediani L, Abiatari I. Strengths and Weaknesses of Modern Technologies in Medical Education. 12th annual International Conference of Education, Research and Innovation (ICERI2019). Seville, Spain. 2019. p. 7043-50.
  • 10.
    Nwosu AC, Sturgeon B, McGlinchey T, Goodwin CD, Behera A, Mason S, et al. Robotic technology for palliative and supportive care: Strengths, weaknesses, opportunities and threats. Palliat Med. 2019;33(8):1106-13. [PubMed ID: 31250734]. [PubMed Central ID: PMC6691596]. https://doi.org/10.1177/0269216319857628.
  • 11.
    Al-Taweel FB, Abdulkareem AA, Gul SS, Alshami ML. Evaluation of technology-based learning by dental students during the pandemic outbreak of coronavirus disease 2019. Eur J Dent Educ. 2021;25(1):183-90. [PubMed ID: 32789943]. [PubMed Central ID: PMC7436321]. https://doi.org/10.1111/eje.12589.
  • 12.
    Yang J, Li J, Mulder J, Wang Y, Chen S, Wu H, et al. Emerging information technologies for enhanced healthcare. Comput Ind. 2015;69(5):3-11. https://doi.org/10.1016/j.compind.2015.01.012.
  • 13.
    Tuma F. The use of educational technology for interactive teaching in lectures. Ann Med Surg (Lond). 2021;62(1):231-5. [PubMed ID: 33537136]. [PubMed Central ID: PMC7840803]. https://doi.org/10.1016/j.amsu.2021.01.051.
  • 14.
    Chatterjee I, Chakraborty P. Use of Information Communication Technology by Medical Educators Amid COVID-19 Pandemic and Beyond. J Educ Technol Syst. 2020;49(3):310-24. https://doi.org/10.1177/0047239520966996.
  • 15.
    Sarbaz M, Vahedian M. [Effective factors in learning how to work with computer by students of Mashad School of Health and paramedcal sciences]. Iran J Med Educ. 2006;6(2):141-2. FA.
  • 16.
    Son J, Robb T, Charismiadji I. Computer literacy and competency: A survey of Indonesian teachers of English as a foreign language. CALL-EJ. 2011;12(1):26-42.
  • 17.
    Atay S, Arıkan D, Yılmaz F, Aslantürk N, Uzun A. Nursing and midwifery students’ attitudes to computer use in healthcare. Nurs Prac Today. 2014;1(3):147-54.
  • 18.
    Maag MM. Nursing students' attitudes toward technology: a national study. Nurse Educ. 2006;31(3):112-8. [PubMed ID: 16708034]. https://doi.org/10.1097/00006223-200605000-00007.
  • 19.
    Robabi H, Arbabisarjou A. Computer literacy among students of Zahedan University of Medical Sciences. Glob J Health Sci. 2015;7(4):136-42. [PubMed ID: 25946919]. [PubMed Central ID: PMC4802094]. https://doi.org/10.5539/gjhs.v7n4p136.
  • 20.
    Kong S, Man-Yin Cheung W, Zhang G. Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Comput Educ: Artif Intell. 2021;2(4). https://doi.org/10.1016/j.caeai.2021.100026.
  • 21.
    Hornberger M, Bewersdorff A, Nerdel C. What do university students know about Artificial Intelligence? Development and validation of an AI literacy test. Comput Educ: Artif Intell. 2023;5(1). https://doi.org/10.1016/j.caeai.2023.100165.
  • 22.
    Zhang C, Rice RE, Wang LH. College students’ literacy, ChatGPT activities, educational outcomes, and trust from a digital divide perspective. New Media Soc. 2024;Inpress. https://doi.org/10.1177/14614448241301741.

Crossmark
Crossmark
Checking
Share on
Cited by
Metrics

Purchasing Reprints

  • Copyright Clearance Center (CCC) handles bulk orders for article reprints for Brieflands. To place an order for reprints, please click here (   https://www.copyright.com/landing/reprintsinquiryform/ ). Clicking this link will bring you to a CCC request form where you can provide the details of your order. Once complete, please click the ‘Submit Request’ button and CCC’s Reprints Services team will generate a quote for your review.