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Mapping internet literacy skills of digital natives: A developing country perspective.

ABSTRACT: Over the last three decades, Information and Communication Technologies (ICTs) have changed the world in all walks of life. It has not only influenced the ways of human communication but also changed the way of learning. However, to utilize the facility of the Internet in effective manners, people need a certain set of skills called "Internet Literacy Skills". The purpose of the study was to explore the level of Internet literacy skills of Undergraduate first-year students (Digital Natives) of the University of the Punjab, Lahore, Pakistan. The study is quantitative, and data were gathered through questionnaires. A total of 180 students from three disciplines i.e. Pure Sciences, Social Sciences, and Arts and Humanities were approached for the final data collection. Descriptive (mean and standard deviation) and inferential statistics (regression analysis) were applied to analyze the collected data. Results further revealed that respondents possess very good knowledge to identify legal and illegal activities and information on the Internet. Findings of the study, not only reported the Internet literacy skills of digital natives but also helped to come up with a theoretical model that may be useful to design an efficient and effective Internet literacy module/subject to help students increase their Internet use-related skills.

SUBMITTER: Soroya SH

PROVIDER: S-EPMC8057616 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe use of computer assisted learning (CAL) has enhanced undergraduate medical education. CAL improves performance at examinations, develops problem solving skills and increases student satisfaction. The study evaluates computer literacy among first year medical students in Sri Lanka.MethodsThe study was conducted at Faculty of Medicine, University of Colombo, Sri Lanka between August-September 2008. First year medical students (n = 190) were invited for the study. Data on computer literacy and associated factors were collected by an expert-validated pre-tested self-administered questionnaire. Computer literacy was evaluated by testing knowledge on 6 domains; common software packages, operating systems, database management and the usage of internet and E-mail. A linear regression was conducted using total score for computer literacy as the continuous dependant variable and other independent covariates.ResultsSample size-181 (Response rate-95.3%), 49.7% were Males. Majority of the students (77.3%) owned a computer (Males-74.4%, Females-80.2%). Students have gained their present computer knowledge by; a formal training programme (64.1%), self learning (63.0%) or by peer learning (49.2%). The students used computers for predominately; word processing (95.6%), entertainment (95.0%), web browsing (80.1%) and preparing presentations (76.8%). Majority of the students (75.7%) expressed their willingness for a formal computer training programme at the faculty.Mean score for the computer literacy questionnaire was 48.4 ± 20.3, with no significant gender difference (Males-47.8 ± 21.1, Females-48.9 ± 19.6). There were 47.9% students that had a score less than 50% for the computer literacy questionnaire. Students from Colombo district, Western Province and Student owning a computer had a significantly higher mean score in comparison to other students (p < 0.001). In the linear regression analysis, formal computer training was the strongest predictor of computer literacy (? = 13.034), followed by using internet facility, being from Western province, using computers for Web browsing and computer programming, computer ownership and doing IT (Information Technology) as a subject in GCE (A/L) examination.ConclusionSri Lankan medical undergraduates had a low-intermediate level of computer literacy. There is a need to improve computer literacy, by increasing computer training in schools, or by introducing computer training in the initial stages of the undergraduate programme. These two options require improvement in infrastructure and other resources.

Project description:BackgroundWith the digitization of health care and the wide availability of Web-based applications, a broad set of skills is essential to properly use such facilities; these skills are called digital health literacy or eHealth literacy. Current instruments to measure digital health literacy focus only on information gathering (Health 1.0 skills) and do not pay attention to interactivity on the Web (Health 2.0). To measure the complete spectrum of Health 1.0 and Health 2.0 skills, including actual competencies, we developed a new instrument. The Digital Health Literacy Instrument (DHLI) measures operational skills, navigation skills, information searching, evaluating reliability, determining relevance, adding self-generated content, and protecting privacy.ObjectiveOur objective was to study the distributional properties, reliability, content validity, and construct validity of the DHLI's self-report scale (21 items) and to explore the feasibility of an additional set of performance-based items (7 items).MethodsWe used a paper-and-pencil survey among a sample of the general Dutch population, stratified by age, sex, and educational level (T1; N=200). The survey consisted of the DHLI, sociodemographics, Internet use, health status, health literacy and the eHealth Literacy Scale (eHEALS). After 2 weeks, we asked participants to complete the DHLI again (T2; n=67). Cronbach alpha and intraclass correlation analysis between T1 and T2 were used to investigate reliability. Principal component analysis was performed to determine content validity. Correlation analyses were used to determine the construct validity.ResultsRespondents (107 female and 93 male) ranged in age from 18 to 84 years (mean 46.4, SD 19.0); 23.0% (46/200) had a lower educational level. Internal consistencies of the total scale (alpha=.87) and the subscales (alpha range .70-.89) were satisfactory, except for protecting privacy (alpha=.57). Distributional properties showed an approximately normal distribution. Test-retest analysis was satisfactory overall (total scale intraclass correlation coefficient=.77; subscale intraclass correlation coefficient range .49-.81). The performance-based items did not together form a single construct (alpha=.47) and should be interpreted individually. Results showed that more complex skills were reflected in a lower number of correct responses. Principal component analysis confirmed the theoretical structure of the self-report scale (76% explained variance). Correlations were as expected, showing significant relations with age (ρ=-.41, P<.001), education (ρ=.14, P=.047), Internet use (ρ=.39, P<.001), health-related Internet use (ρ=.27, P<.001), health status (ρ range .17-.27, P<.001), health literacy (ρ=.31, P<.001), and the eHEALS (ρ=.51, P<.001).ConclusionsThis instrument can be accepted as a new self-report measure to assess digital health literacy, using multiple subscales. Its performance-based items provide an indication of actual skills but should be studied and adapted further. Future research should examine the acceptability of this instrument in other languages and among different populations.

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Mapping internet literacy skills of digital natives: A developing country perspective.

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