Mobile Learning According to Students of Computer Engineering and Computer Education: A Comparison of Attitudes
Mobile learning has started to perform an increasingly significant role in improving learning outcomes in education. Successful and efficient implementation of m-learning in higher education, as with all educational levels, depends on users’ acceptance of this technology. This study focuses on investigating the attitudes of undergraduate students of Computer Engineering (CENG) and Computer Education and Instructional Technology (CEIT) departments in a Turkish public university towards m-learning from three perspectives; gender, area of study, and mobile device ownership. Using a correlational survey method, a Mobile Learning Attitude Scale (MLAS) was administered to 531 students, analysis of which revealed a positive attitude to m-learning in general. A further investigation of the aforementioned three variables showed a more positive attitude for female students in terms of usability, for CEIT students in terms of advantages, usability and independence, and for those owning a mobile device in terms of usability. An important implication from the findings, among others, is supplementing Computer Engineering curriculum with elective courses on the fundamentals of mobile learning, and/or the design and development of m-learning software, so as to create, in the long run, more specialized and complementary teams comprised of trained CENG and CEIT graduates in m-learning sector.
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- Albert, L. J., & Johnson, C. S. (2011). Socioeconomic Status – and Gender-Based
Differences in Students’ Perceptions of E-Learning Systems. Decision Sciences
Journal of Innovative Education, 9(3), 421-436.
Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the
use of mobile learning in higher education. Computers in Human Behavior, 56,
93-102.
Al-Fahad, F. N. (2009). Students’ attitudes and perceptions towards the effectiveness of
mobile learning in King Saud University, Saudi Arabia. The Turkish Online Journal
of Educational Technology, 8(2), 111-119.
Ally, M. (2004). Using learning theories to design instruction for mobile learning devices.
Proceedings of the Mobile Learning 2004 International Conference, Rome.
Ally, M. (2007). Guest Editorial-Mobile Learning. The International Review of Research in
Open and Distributed Learning, 8(2)
Alshalabi, I., & Elleithy, K. (2012). Effective M-learning design Strategies for computer
science and Engineering courses. International Journal of Mobile Network
Communications & Telematics (IJMNCT), 2(1). Retrieved from
http://arxiv.org/abs/1203.1897.
Alwraikat, M. A., & Al Tokhaim, H. (2014). Exploring the Potential of Mobile Learning Use
among Faculty Members. International Journal of Interactive Mobile
Technologies (iJIM), 8(3), 4-10.
Baya’a, N. F., & Daher, W. M. (2009). Learning Mathematics in an Authentic Mobile
Environment: The Perceptions of Students.iJIM, 3(SI), 6-14.
Buyukozturk, S., Cakmak, E. K., Akgun, O. E., Karadeniz, S., & Demirel, F. (2008).Bilimsel
arastırma yontemleri [Scientific Research Methods].Ankara, Turkey: Pegem
Academy Publishing.
Cavus N. (2011). Investigating mobile devices and LMS integration in higher education:
student perspectives. Procedia Computer Science, 3, 1469-1474.
Cavus, N., & Uzunboylu, H. (2009). Improving critical thinking skills in mobile
learning. Procedia-Social and Behavioral Sciences, 1(1), 434-438.
Chen, B., & Denoyelles, A. (2013). Exploring Students’ Mobile Learning Practices in Higher
Education. Educause Review Online. Retrieved from
http://www.educause.edu/ero/article/exploringstudents-mobile-learningpractices-higher-education.
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning
readiness in higher education based on the theory of planned behavior.
Computers & Education, 59(3), 1054-1064.
Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating
quantitative and qualitative research (4th ed.). Boston, MA: Pearson Education,
Inc
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods
approaches. Thousand Oaks: Sage publications.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.).
Hillsdale, NJ: Erlbaum.
Celik, U. A. (2013). M-Ogrenme Tutum Olcegi: Gecerlik ve Guvenirlik Analizleri [MLearning
Attitude Scale: Validity and Reliability Analyses]. Journal of Research in
Education and Teaching, 2(4), 172-185.
15
Elcicek, M., & Bahceci, F. (2015). The Research of the Vocational School Student’s
Attitudes towards Mobile Learning. The Journal of Education Faculty Sakarya
University, 30, 17-33.
Fraenkel, J. R., & Wallen, N. E. (2000). How to design & evaluate research in education
(4th Ed.). Boston: McGraw Hill.
Gonzalez-Gomez, F., Guardiola, J., Rodríguez, O. M., & Alonso, M. A. M. (2012). Gender
differences in e-learning satisfaction. Computers & Education, 58, 283-290.
Gupta, M., & Manjrekar, P. (2012). Using mobile learning to enhance quality in higher
education. SIES Journal of Management, 8(1), 23-30.
Huizenga, J., Admiraal, W., Akkerman, S., & Dam, G. T. (2009). Mobile game‐based
learning in secondary education: engagement, motivation and learning in a
mobile city game. Journal of Computer Assisted Learning, 25(4), 332-344.
Hwang, G. J., & Chang, H. F. (2011). A formative assessment-based mobile learning
approach to improving the learning attitudes and achievements of students.
Computers & Education, 56(4), 1023-1031.
Hwang, G. J., Wu, P. H., & Ke, H. R. (2011). An interactive concept map approach to
supporting mobile learning activities for natural science courses. Computers &
Education, 57(4), 2272-2280.
Jacob, S., & Issac, B. (2014). Mobile learning culture and effects in higher education. IEEE
Education Society, 2(2), 19-21. Retrieved from http://arxiv.org/abs/1410.4379.
Jaradat, R. M. (2014). Students’ attitudes and perceptions towards using m-learning for
French language learning: A case study on Princess Nora University.
International Journal of Learning Management Systems, 2(1), 33-44.
Karasar, N. (2012).Bilimsel arastırma yontemi: kavramlar, ilkeler, teknikler [Scientific
Research Methods: Concepts, principles, techniques]. Ankara, Turkey, Nobel
Publication Distribution.
Karsenti, T., & Fievez, A. (2013). The iPad in education: Uses, benefits and challenges – A
survey of 6,057 students and 302 teachers in Quebec, Canada. Montreal, QC:
CRIFPE.
Keegan, D. (2005). The incorporation of mobile learning into mainstream education and
training. World Conference on Mobile Learning, Cape Town (p.11), October.
Retrieved from http://www.mlearn.org/mlearn2005/CD/papers/keegan1.pdf.
Khaddage, F., & Knezek, G. (2013). iLearn via mobile technology: A comparison of mobile
learning attitudes among university students in two nations. In proceedings of
2013 IEEE 13th International Conference on Advanced Learning Technologies
(ICALT), (pp. 256-258). IEEE.
Kinash, S., Brand, J., & Mathew, T. (2012). Challenging mobile learning discourse through
research: Student perceptions of Blackboard Mobile Learn and iPads.
Australasian Journal of Educational Technology, 28, 639-655.
Kukul, V., Gokcearslan S., &Karademir, T. (2015). Pre-service Teacher’s Attitude on Mobile
Learning. In proceedings of Teaching and Education Conference, Amsterdam.
International Institute of Social and Economic Sciences (pp. 119-127) (No.
2404091).
Kukulska-Hulme, A. (2007). Mobile usability in educational contexts: what have we
learnt? The International Review of Research in Open and Distributed
Learning, 8(2), 1-16.
Kutluk, F. A., & Gulmez, M. (2014). A research about mobile learning perspectives of
university students who have accounting lessons. Procedia-Social and Behavioral
Sciences, 116, 291-297.
16
Leech, N.L. Barlett, K.C. & Morgan, G.A. (2005). SPSS for intermediate statistics; use and
interpretation. Mahwah, NJ: Lawrence Erlbaum Associates.
Liaw, S., & Huang, H. (2015). How factors of personal attitudes and learning
environments affect gender difference toward mobile learning acceptance. The
International Review of Research in Open and Distributed Learning, 16(4), 104-
132. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/2355.
MacCallum, K. S., & Kinshuk, A. (2008). Mobile Discussion Boards: An Analysis on Mobile
Collaboration. International Journal of Interactive Mobile Technologies, 2(1), 5-
9.
Mertler, C. A., & Vanatta, R. A. (2005). Advanced and multivariate statistical methods (3rd
Ed.). Glendale, CA: Pyrzcak Publishing.
Milosevic, I., Zivkovic, D., Manasijevic, D., & Nikolic, D. (2015). The effects of the intended
behavior of students in the use of M-learning. Computers in Human Behavior, 51,
207-215.
O’Malley, C., Vavoula, G., Glew, J. P., Taylor, J., Sharples, M., & Lefrere, P. (2003).
MOBIlearn WP4 – Guidelines for learning/teaching/tutoring in a mobile
environment. Retrieved from
http://www.mobilearn.org/download/results/guidelines.pdf.
Ozdamli, F., & Cavus N. (2011). Basic elements and characteristics of mobile learning.
Social and Behavioral Sciences, 28, 937-942.
Ozdamli F., Soykan, E., & Yildiz, E. P. (2013). Are Computer Education Teacher Candidates
Ready for M-Learning? Procedia - Social and Behavioral Sciences, 83, 1010-1015.
doi:10.1016/j.sbspro.2013.06.188.
Ozdamli, F., & Uzunboylu, H. (2015). M‐learning adequacy and perceptions of students
and teachers in secondary schools. British Journal of Educational
Technology, 46(1), 159-172.
Pallant, J. (2005). SPSS Survival Manual: A step by step guide to data analysis using spss
for windows. Australia: Australian Copyright.
Park, Y. (2011). A pedagogical framework for mobile learning: Categorizing educational
applications of mobile technologies into four types. The International Review of
Research in Open and Distributed Learning, 12(2), 78-102.
Pfeiffer, V. D., Gemballa, S., Jarodzka, H., Scheiter, K., & Gerjets, P. (2009). Situated
Learning in the Mobile Age: Mobile Devices on a Field Trip to the Sea.ALT-J:
Research in Learning Technology, 17(3), 187-199.
Quinn, C. (2000). mLearning: Mobile, wireless, in-your-pocket learning. LiNE Zine, Fall
2000.Retrieved fromhttp://www.linezine.com/2.1/features/cqmmwiyp.htm.
Rossing, J. P, Miller, W. M., Cecil, A. K., & Stamper, S. E. (2012). iLearning: The Future of
Higher Education? Student Perceptions on Learning... Journal of Scholarship of
Teaching and Learning, 12(2), 1-26.
Sarac, A. (2014). Yeni bir egitim platformu olarak mobil ogrenme ortamları icin uygulama
gelistirmenin onemi ve ogretim teknologu adaylarının algıları uzerine bir
arastırma [The Importance Of Application Development For The Mobile Learning
Environments As A New Education Platform And A Research On Instructional
Technologist Candidates's Perceptions](Master’s Thesis, Marmara University,
Istanbul, Turkey). Retrieved from
https://tez.yok.gov.tr/UlusalTezMerkezi/367843.
Sarrab, M. (2015). Mobile Learning (m-learning) Concepts, Characteristics, Methods,
Components: Platforms and Frameworks. New York: Nova Science Publishers.
Schwabe, G., & Goth, C. (2005). Mobile learning with a mobile game: design and
motivational effects. Journal of computer assisted learning, 21(3), 204-216.
17
Sharples, M. (2000). The design of personal mobile technologies for lifelong learning.
Computers & Education, 34(3), 177-193.
Shon, J. G. (2008). M-Learning Trends in Korea. Presentation at the ISO/IEC JTEC1/SC36
Open Forum, Seoul, Korea, March 2008.
Suki, N. M., & Suki, N. M. (2011a).Using Mobile Device for Learning: From Students’
Perspective.US-China Education Review, A1 (1), 44-53.
Suki, N. M., & Suki, N. M. (2011b). Users’ Behavior towards Ubiquitous M-Learning.
Turkish Online Journal of Distance Education, 12(3), 118-129.
Sung, E., & Mayer, R. E. (2013). Online multimedia learning with mobile devices and
desktop computers: An experimental test of Clark’s methods-not-media
hypothesis. Computers in Human Behavior, 29(3), 639-647.
Tabachnick, B.G. & Fidell, L.S. (2007). Using Multivariate Statistics. Boston, Pearson
Education, Inc.
Taleb, Z., & Sohrabi A. (2012). Learning on the move: the use of mobile technology to
support learning for university students. Procedia – Social and Behavioral
Sciences, 69, 1102-1109.
Tan, T-H., & Liu, T-Y. (2004). The Mobile-based interactive learning environment
(MOBILE)and a case study for assisting elementary school English learning. In
IEEE International Conference on Advanced Learning Technologies, 2004.
Proceedings. (pp. 530-534). IEEE. doi:10.1109/ICALT.2004.1357471
Toteja, R., & Kumar, S. (2012). Usefulness of M-devices in education: A survey, Procedia -
Social and Behavioral Sciences, 67, 538-544.
Uzunboylu, H., Cavus, N., & Ercag, E. (2009). Using mobile learning to increase
environmental awareness. Computers & Education, 52(2), 381-389.
Wang, Y.S., Wu, M.C., &Wang, H.Y. (2009). Investigating the determinants and age and
gender differences in the acceptance of mobile learning. British Journal of
Educational Technology, 40(1), 92-118.
Wu, P. H., Hwang, G. J., Su, L. H., & Huang, Y. M. (2012). A Context-Aware Mobile
Learning System for Supporting Cognitive Apprenticeships in Nursing Skills
Training. Educational Technology & Society, 15(1), 223-236.
Yang S. (2012). Exploring college students’ attitudes and self-efficacy of mobile learning.
The Turkish Online Journal of Educational Technology, 11(4), 148-154.
Yilmaz, Y. (2011).Mobil ogrenmeye yonelik lisansustu ogrencilerinin ve ogretim
elemanlarının farkındalık duzeylerinin arastırılması [Investigating the Awareness
Levels of Postgraduate Students and Academics towards Mobile Learning]
(Master’s thesis, Dokuz Eylul University, İzmir, Turkey).Retrieved from
http://acikerisim.deu.edu.tr/xmlui/handle/12345/7189
Zaldivar, A., Tripp, C., Aguilar, J. A., Tovar, J. E., & Anguiano, C. E. (2015). Using Mobile
Technologies to Support Learning in Computer Science Students. Latin America
Transactions, IEEE (Revista IEEE America Latina), 13(1), 377-382.