HOW DO FIRST YEAR UNIVERSITY STUDENTS USE ICT IN THEIR LEISURE TIME AND FOR LEARNING PURPOSES?

Authors

DOI:

https://doi.org/10.5937/IJCRSEE2002035E

Keywords:

ICT competence, university students, social networks, mobile devices, leisure-time activities

Abstract

This study advances our understanding of the current use of social media and mobile devices by first year university students. This research sought to explore the influence of the use of social networks and new mobile devices by students for learning purposes. Data were collected using a self-report questionnaire at four universities in three countries in Central Europe. The research was completed by a sample of 961 full-time first year undergraduate students. The data were analysed using descriptive statistic and confirmatory factor analysis. The findings show that students who intensively use ICT for leisure-related tasks are also experienced in ICT for learning purposes. Furthermore, the results showed differences in the use of ICTs according to four selected areas: ICT for leisure-time activities, social networking, ICT on mobile phones, and ICT for study purposes by students. Five well-differentiated clusters were identified by through cluster analysis, which we term the ‘mobile subgroup’, ‘educational subgroup’, ‘social subgroup’, ‘network subgroup’, and ‘entertaining subgroup’. Educators can benefit from the results through a more complete understanding of how first year university students use social networks and mobile devices and how intensity in these areas influences ICT use for learning purposes.

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References

Aesaert, K., Voogt, J., Kuiper, E., & van Braak, J. (2017). Accuracy and bias of ICT self-efficacy: An empirical study into student´s ever- and underestimation of their ICT competencies. Computers in Human Behavior, 75, 92-102. https://doi.org/10.1016/j.chb.2017.05.010.

Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2.0 technologies: theory and empirical tests. The Internet and Higher Education, 11(2), 71-80. https://doi.org/10.1016/j.iheduc.2008.05.002.

Ali, M., Jacob, R. A. I. B. R., Endut, B. N. A-A, B., & Langove, N. U. (2017). Strengthening the academic usage of social media: An exploratory study. Journal of King Saud University – Computer and Information Sciences, 29(4), 553-561. https://doi.org/10.1016/j.jksuci.2016.10.002.

Areepattamannil, S., Santos, I. M. (2020). Adolescent students’ perceived information and communication technology (ICT) competence and autonomy: Examining links to dispositions toward science in 42 countries. Computers in Human Behavior, 89, 50-58. https://doi.org/10.1016/j.chb.2019.04.005

Arteaga, M., Tomczyk, Ł., Barros, G., Sunday Oyelere, S. (2020). ICT and education in the perspective of experts from business, government, academia and NGOs: in Europe, Latin America and Caribbean. Ecuador: Universidad del Azuay.

Bandura, A. (1986). Social foundation of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.

Bandura, A. (1996). Multifaced impact of self-efficacy beliefs on academic functioning. Child Development. 67(3), 1206–1222. http://www.jstor.org/stable/1131888.

Benes, P., Mudrak, D., Prochazka, J., Rambousek, V., & Stipek, J. (2008). Research of ICT education in the Czech Republic. Problems of Education in the 21st century, 5, 24-34.

Chou, CH-H., & Pi, S-M. (2015) The Effectiveness of Facebook Groups for e-Learning. International Journal of Information and Education Technology, 5(7), 477-482.

DESI (2020). The Digital Economy and Society Index. Retrieved April 2020 from: https://ec.europa.eu/digital-single-market/en/desi

Digital (2020). Global digital overview. Retrieved March 2020 from: https://wearesocial.com/digital-2020/

Education and Training Monitor (2017). Country reports. Retrieved January 2018 from: http://ec.europa.eu/education/policy/strategic-framework/et-monitor/country-reports_en

Eger, L., & Egerová, D. (2013). e-Learning trends in Central Europe: The case of the Czech Republic, Knowledge Management & E-Learning, 5(3), 375-387. https://doi.org/10.34105/j.kmel.2013.05.027

Eger, L., Egerová, D., Mičík, M., Varga, E., Czeglédi, C., Tomczyk, L., Sládkayová, M. (2020). Trust building and fake news on social media from the perspective of university students from four Visegrad countries. Communication Today, 11(1), 70-88. Retrieved from: https://search.proquest.com/openview/3eb7b580383300bd001ab76e8aa405af/1?pq-origsite=gscholar&cbl=1606370

Eger, L., Klement, M., Tomczyk, L., Pisoňová, M., & Petrová, G. (2018). Different user groups of University students and their ICT competence: Evidence from three countries in Central Europe. Journal of Baltic Science Education, 17(5), 851-866. Retrieved from: http://www.scientiasocialis.lt/jbse/files/pdf/vol17/851-866.Eger_JBSE_Vol.17_No.5.pdf

EUROSTAT (2020). Digital skills. Retrieved January 2020 from: http://ec.europa.eu/eurostat/data/database

Flanigan, A. E., & Babchuk, W. A. (2015). Social media as academic quicksand: A phenomenological study of student experiences in and out of the classroom. Learning and Individual Differences, 44, 40-45. https://doi.org/10.1016/j.lindif.2015.11.003.

Fraillon, J., Schulz, W., Friedman, T., Ainley, J., & Gebhardt, E. (2015). International Computer and Information Literacy Study: ICILS 2013: Technical Report. Retrieved September 2015 from: http://iave.pt/images/FicheirosPDF/Estudos_Internacionais/ICILS/ICILS_2013_Technical_Report.pdf

Forouzesh, M., & Darvish, M. (2012). Characteristics of Learning Management System (LMS) and Its Role in Education of Electronics. In Conference proceedings of eLearning and Software for Education, eLSE, No. 01, pp 495–500, Universitatea Nationala de Aparare Carol I.

Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. The Internet and Higher Education, 19(1), 18-26. https://doi.org/10.1016/j.iheduc.2013.06.002.

Goldsmith-Pinkham, P. & Imbens, G, W. (2013). Social Networks and the Identification of Peer Effects. Journal of Business & Economic Statistics, 31(3), 253-264. https://doi.org/10.1080/07350015.2013.801251.

Goodfellow, R. (2011). Literacy, literacies and the digital in higher education. Teaching in Higher Education, 16(1), 131-144. https://doi.org/10.1080/13562517.2011.544125.

Gaudreau, P, Miranda, D., & Gareau, A. (2014). Canadian university students in wireless classrooms: What do they do on their laptops and does it really matter? Computers & Education, 70, 245-255. https://doi.org/10.1016/j.compedu.2013.08.019.

Hatlevik, O. E., Gudmundsdóttir, G. B., & Loi, M. (2015). Digital diversity among upper secondary students: A multilevel analysis of the relationship between cultural capital, self-efficacy, strategic use of information and digital competence. Computers & Education, 81, 345-353. https://doi.org/10.1016/j.compedu.2014.10.019.

Hatlevik, O. E., Throdsen, I., Massimo, L., & Gudmundsdóttir, G. B. (2018). Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships. Computers & Education, 118, 107-119. https://doi.org/10.1016/j.compedu.2017.11.011

Hrtoňová, N., Kohout, J., Rohlíková, L., & Zounek, J. (2015). Factors influencing acceptance of e-learning by teachers in the Czech Republic. Computers in Human Behavior, 51, 873-879. https://doi.org/10.1016/j.chb.2014.11.018.

Harris, P. (2015). Student Mobile Device Survey 2015. National Report: College Students. Pearson. Retrieved May 2017 from: https://www.pearsoned.com/wp-content/uploads/2015-Pearson-Student-Mobile-Device-Survey-College.pdf

ICT Development Index 2017. ITUdata. Retrieved Juni 2018 from: http://www.itu.int/net4/ITU-D/idi/2017/index.html

ICT@Europe.edu: Information and Communication Technology in European Education Systems, (2001).EURYDICE Retrieved May 2017 from: http://www.sel-gipes.com/uploads/1/2/3/3/12332890/2001_eurydice_-_icteurope.edu.pdf

Juhaňák, L., Zounek, J., Záleská, K., Bárta, O., Vlčková, K. (2019). The relationship between the age at first computer use and students’ perceived competence and autonomy in ICT usage: A mediation analysis. Computers & Education, 141, 103614. https://doi.org/10.1016/j.compedu.2019.103614

Junco, R. (2012). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, 58(1), 162-171. https://doi.org/10.1016/j.compedu.2011.08.004.

Kiss, G. (2017). Measuring the ICT competencies in Slovakia and in Serbia in the higher education. SHS Web Conferences, 37, 01075, https://doi.org/10.1051/shsconf/20173701075.

Kim, Ch., & Yang, S-U. (2017). Like, comment, and share on Facebook: How each behavior differs from the other. Public Relations Review, 43(2), 441-449. https://doi.org/10.1016/j.pubrev.2017.02.006.

Klement, M. (2013). E-learning through the eyes of the Czech students (Aprendizaje electrónico desde el punto de vista de los estudiantes universitarios). Journal of Science Education, 14(2), 66-70.

Klement, M. (2017). Which ICT Tools Are Used By Teachers Most Often In Their Work? 8th ICEEPSY The International Conference on Education and Educational Psychology. The European Proceedings of Social & Behavioural Sciences. 252-263. http://dx.doi.org/10.15405/epsbs.2017.10.24.

Lau, W, W. F. (2017). Effects of social media usage and social media multitasking on the academic performance of university students. Computers in Human Behavior, 68, 286-291. https://doi.org/10.1016/j.chb.2016.11.043.

Lee, L., Chen, D-T., & Lin, T-B. (2015). Understanding new media literacy: The development of a measuring instrument. Computers & Education, 85, 84-93. https://doi.org/10.1016/j.compedu.2015.02.006.

Machková, H. (2016). Higher education in Central Europe and its impact on countries’ competitiveness. Central European Business Review, 5(1), 62-68.

Marino, C., Finos, L., Vieno, A., Lenzi, M., & Spada, M. M. (2017). Objective Facebook behaviour: Differences between problematic and non-problematic users. Computers in Human Behavior, 73, 541-546. https://doi.org/10.1016/j.chb.2017.04.015.

Mazman, S. G., & Usluel, Y. K. (2010). Modeling educational usage of Facebook. Computers & Education, 55(2), 444-453. https://doi.org/10.1016/j.compedu.2010.02.008.

Measuring Digital Skills across the EU: EU wide indicators of Digital Competence. (2014) Retrieved May 2017 from: https://ec.europa.eu/digital-single-market/en/news/measuring-digital-skills-across-eu-eu-wide-indicators-digital-competence

Nunnally, J., & Bernstein, L. (1994). Psychometric Theory, New York: McGraw-Hill Higher Inc.

OECD (2017). Education at a Glance 2017: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/eag-2017-en

Qureshi, I. A., Raza, H., & Whitty, M. (2015). Facebook as e-learning tool for higher education institutes. Knowledge Management & E-Learning: An International Journal (KM&EL),6(4), 440-448. Retrieved December 2015 from: http://www.kmel-journal.org/ojs/index.php/online-publication/index

Pagastergiou, M. (2010). Enhancing physical education and sports science students´ self-efficacy and attributes regarding information and communication technologies through computer literacy course. Computers & Education, 54(1), 298-308. https://doi.org/10.1016/j.compedu.2009.08.015.

Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: A third decade of research. San Francisco, Jossey-Bass.

Picatoste, J., Pérez-Ortiz, L., & Ruesga-Benito, S. (2018). A new educational pattern in response to new technologies and sutainble development. Enlightening ICT skills for youth employability in Eurepean Union. Telematics and Informatics, 35(4), 1031-1038. https://doi.org/10.1016/j.tele.2017.09.014.

Plebańska, M. (2017). Polska szkoła w dobie cyfryzacji [Polish school in the age of digitization]. Warszawa: Uniwersytet Warszawski. PCG Edukacja.

Potyrała, K. (2017). iEdukacja. Synergia nowych mediów i dydaktyki [iEdukacja. Synergy of new media and didactics.]. Kraków: Wydawnictwo Uniwersytetu Pedagogicznego.

Půžová, K., Marešová, P. (2014). Czech Republic’s Competitiveness in ICT Market. Procedia - Social and Behavioral Sciences, 10, 880-885. https://doi.org/10.1016/j.sbspro.2013.12.558

Rosman, P., & Buřita, L. (2014). Concept of the computer science course and some aspects of ICT integration into education. E&M Economics and Management, 17(3), 169-180. http://dx.doi.org/10.15240/tul/001/2014-3-013

Rothagi, A., Scherer, R., & Hatlevik, O. E. (2016). The role of ICT selfefficacy for students’ ICT use and their achievement in a computer and information literacy test. Computers & Education, 102, 103-116. https://doi.org/10.1016/j.compedu.2016.08.001.

Salomon, A., & Kolikant, Y, B-D. (2016). High-school students´perceptions of the effects of non-academic usage of ICT on their academic achievements. Computers in Human Behavior, 64, 143-151. https://doi.org/10.1016/j.chb.2016.06.024.

Scherer, R., Rohatgi, A., & Hatlevik, O. E. (2017). Students’ profiles of ICT use: Identification, determinants, and relations to achievement in a computer and information literacy test. Computers in Human Behavior, 70, 486-499. https://doi.org/10.1016/j.chb.2017.01.034.

Selwyn, N. (2007). Screw blackboard. Do it on Facebook! An investigation of students’ educational use of Facebook. [Electronic Version]. Retrieved May 2017 from: https://www.scribd.com/doc/513958/Facebook-seminar-paper-Selwyn

Slechtová, P. (2015). Attitudes of undergraduate students to the use of ICT in education. Procedia - Social and Behavioral Sciences, 171, 1128 – 1134. https://doi.org/10.1016/j.sbspro.2015.01.218.

Statista, (2018). Number of social media users worldwide from 2010 to 2021 (in billions) Retrieved May 2018 from: https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/

Siddiq, F., Cochyyev, P., & Willson, M. (2017). Learning in Digital Networks – ICT literacy: A novel assessment os students’ 21st century skills. Computers & Education, 109, 11-37. https://doi.org/10.1016/j.compedu.2017.01.014

Stošić, L., & Stošić, I. (2015). Perceptions of teachers regarding the implementation of the internet in education. Computers in Human Behavior, 53, 462–468. https://doi.org/10.1016/j.chb.2015.07.027

Stout, D. (2020). Social Media Statistics 2020: Top Networks by the Numbers (2020). Retrieved March 2020 from: https://dustinstout.com/social-media-statistics/

Sung, Y-T., Chang, K-E., & Liu, T-Ch. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252-275. https://doi.org/10.1016/j.compedu.2015.11.008.

Tezer, M., Yildiz, E. P., & Uzunboylu, H. (2018). Online authentic learning self-efficacy: a scale development. Quality & Quantity, 52(1), 639-649. https://doi.org/10.1007/s11135-017-0641-1.

Tomczyk, L., & Kopecký, K. (2016). Children and Youth Safety on Internet: Experiences from Czech Republic and Poland. Telematics and Informatics, 33(3), 822-833. https://doi.org/10.1016/j.tele.2015.12.003.

Tomczyk, Ł., Szotkowski, R., Fabiś, A., Wąsiński, A., Chudý, Š., & Neumeister, P. (2015). Selected aspects of conditions in the use of new media as an important part of the training of teachers in the Czech Republic and Poland - differences, risks and threats. Education and Information Technologies, 22(3), 747–767. https://doi.org/10.1007/s10639-015-9455-8.

Tomczyk, Ł., Srokowski, Ł., & Wąsiński, A. (2016). Kompetencje w zakresie bezpieczeństwa cyfrowego w polskiej szkole. [Digital security competences in Polish schools]. Tarnów: Stowarzyszenie Miasta w Internecie.

Tomczyk, Ł., & Oyelere, S. S. (2019). ICT for learning and inclusion in Latin America and Europe. Cracow: Pedagogical University.

Tsai, M.-J., & Tsai, C.-C. (2003). Information searching strategies in web-based science learning: the role of Internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43–50. https://doi.org/10.1080/1355800032000038822.

Tsai, M.-J., & Tsai, C.-C. (2010). Junior High School Students Internet Usage and Self-Efficacy: A Re-Examination of the Gender Gap. Computers & Education, 54(4), 1182-1192. https://doi.org/10.1016/j.compedu.2009.11.004

Wakefield, J., & Frawley, J. K. (2020). How does students’ general academic achievement moderate the implications of social networking on specific levels of learning performance? Computers & Education, 144, 103694. https://doi.org/10.1016/j.compedu.2019.103694

Wu, Y. T., & Tsai, C. C. (2006). University Students’ Internet Attitudes and Internet Self-Efficacy: AStudy at Three Universities in Taiwan. Cyberpsychology & behavior, 9(4), 441-450. https://doi.org/10.1089/cpb.2006.9.441

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Published

2020-08-31

How to Cite

Eger, L. ., Tomczyk, Łukasz, Klement, M., Pisoňová, M. ., & Petrová, G. (2020). HOW DO FIRST YEAR UNIVERSITY STUDENTS USE ICT IN THEIR LEISURE TIME AND FOR LEARNING PURPOSES?. International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 8(2), 35–52. https://doi.org/10.5937/IJCRSEE2002035E