The Differences of Students Traits in Computer Science Program with the Perception of Using Laptops for Studying in Chengdu, Sichuan, China
Main Article Content
Abstract
With a sample size of 475 respondents, this study examined how students' disparities in computer science qualities affect their perceptions of using laptops for learning in a computer science program in Chengdu, Sichuan, China. A questionnaire was used as the research instrument. Conduct statistical analysis of variance on the data (Multivariate Analysis of Variance: MANOVA). Perceived ease of use (X̅) = 4.141, perceived usefulness (X̅) = 4.181, trust (X̅) = 4.147, and behavioral intention (X̅) = 4.166 were all high average scores. Meanwhile, at the 0.05 level of significance, gender, age, subjects in computer science courses, and types of laptop manufacturers have no statistically significant difference on perceived ease of use, perceived utility, trust, or behavioral intention. Thus, students use laptops in their study environments, and it was discovered that students' perceived ease of use, perceived usefulness, trust, and behavioral intention to use laptops for studying in computer science courses are generally positive, as the average score is higher, with no significant difference between student characteristics in gender, age, subjects in computer science courses, and types of laptop manufacturers.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data, or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution License (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
References
Ajzen, I. (1991) The Theory of Planned Behaviour. Organizational Behaviour and Human Decision Processes, 50, 179-211. http://dx.doi.org/10.1016/0749-5978(91)90020-T Altuntas, S., Erdogan, Z., & Dereli, T. (2020). A clustering-based approach for the evaluation of candidate emerging technologies. Scientometrics, 124(2), 1157-1177.
Amanah, D., Harahap, D. A., & Lisnawati, D. (2017). Exploring online purchase decision among university students in Indonesia. Journal of Humanities and Social Science, 22(5), 72-77.
Amin, M., Isa, Z., & Fontaine, R. (2013). Islamic banks: Contrasting the drivers of customer satisfaction on image, trust, and loyalty of Muslim and non‐Muslim customers in Malaysia. International journal of bank marketing. Andaleeb, S. S. (1995). Dependence relations and the moderating role of trust: implications for behavioral intentions in marketing channels. International Journal of Research in Marketing, 12(2), 157-172. Awad, N. F., & Ragowsky, A. (2008). Establishing trust in electronic commerce through online word of mouth: An examination across genders. Journal of management information systems, 24(4), 101-121.
Bandura, A. (1986) Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall, Englewood Cliffs. Buchan, N. R., Croson, R. T., & Solnick, S. (2008). Trust and gender: An examination of behavior and beliefs in the Investment Game. Journal of Economic Behavior & Organization, 68(3-4), 466-476. Bulutlu, O. (2018). Examination of the intentions of university students to use simultaneous virtual classroom environments in distance education programs.
Çakir, R., & Arslan, F. (2020). Examination of distance education students' attitudes together with the intent to use concurrent virtual classroom environments. International Journal of Turkish Educational Sciences, 15(2020), 114-133.
Card, S.K., Moran, T.P. & Newell, A. (1983). The Psychology of Human-Computer Interaction. Erlbaum, Hillsdale. Çetin, S., De Wolf, C., & Bocken, N. (2021). Circular digital built environment: An emerging framework. Sustainability, 13(11), 6348. Chen, S.-H., & Lee, K.-P. (2008). The role of personality traits and perceived values in persuasion: An elaboration likelihood model perspective on online shopping. Social Behavior and Personality: An international journal, 36(10), 1379-1400.
Chiu, C. -Y., Mallorie, L., Keh, H. -T., & Law, W. (2009). Perceptions of culture in multicultural space: Joint presentation of images from two cultures increases in group attribution of culture-typical characteristics. Journal of Cross-Cultural Psychology, 40, 282–300. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.
Davis, F., Bagozzi, R. and Warshaw, P. (1992) Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22, 1111-1132. http://dx.doi.org/10.1111/j.1559-1816.1992.tb00945.x
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340. http://dx.doi.org/10.2307/249008
Dennis, C., Merrilees, B., Jayawardhena, C. & Tiu Wright, L. (2009). E‐consumer behavior. European Journal of Marketing, 43(9/10), 1121-1139. https://doi.org/10.1108/03090560910976393 Zhang, Y. L., Bai, L. Z., & Zhang, D. (2010). Strengthening the Engineer’s Lifelong Education. In Advanced Materials Research (Vols. 156–157, pp. 241–244). Trans Tech Publications, Ltd. https://doi.org/10.4028/www.scientific.net/amr.156-157.241
Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. Addison-Wesley, Reading. Harorimana, D. (2013). Innovation and learning through knowledge gatekeepers: a critical examination of the relationship between trust, openness, and the use of gatekeepers in organizations. International journal of innovation and learning, 14(3-4), 350-382. Hernández, B., Jiménez, J., & Martín, M. J. (2009). Key website factors in e-business strategy. International Journal of information management, 29(5), 362-371. Hsu, C. L., Chang, K. C., & Chen, M. C. (2012). Flow experience and internet shopping behavior: Investigating the moderating effect of consumer characteristics. Systems Research and Behavioral Science, 29(3), 317-332. Joo, Y. J., Lim, K. Y., & Kim, E. K. (2011). Online university students' satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model. Computers & education, 57(2), 1654-1664. Schiffman, L. G., & Kanuk, L. L. (2003). Consumer Behavior, Printice Hall of (India) Private Limited, New Delhi. Karatepe, O. M., Saydam, M. B., & Okumus, F. (2021). COVID-19, mental health problems, and their detrimental effects on hotel employees’ propensity to be late for work, absenteeism, and life satisfaction. Current Issues in Tourism, 24(7), 934-951. Lee, P. K., Cheng, T. E., Yeung, A. C., & Lai, K. H. (2011). An empirical study of transformational leadership, team performance and service quality in retail banks. Omega, 39(6), 690-701. Liao, P. W., & Hsieh, J. Y. (2010, August). Using the Technology Acceptance Model to explore online shopping behavior: Online experiences as a moderator. In 2010 International Conference on Management and Service Science (pp. 1-4). IEEE.
Mayoux, L. (2001) Jobs, Gender and Small Enterprises: Getting the Policy Environment Right. SEED Working Paper No. 15, Series on Women’s Entrepreneurship Development and Gender in Enterprises (WEDGE). Midha, V. (2012). Impact of consumer empowerment on online trust: An examination across genders. Decision Support Systems, 54(1), 198-205.
Mowen, JC, & Minor, M. (2002). Consumer behavior. Jakarta: Erlangga, 90. Murphy, G. B., & Tocher, N. (2011). Gender differences in the effectiveness of online trust building information cues: An empirical examination. The Journal of High Technology Management Research, 22(1), 26-35.
Orji, R. (2010) Impact of Gender and Nationality on Acceptance of a Digital Library: An Empirical Validation of Nationality Based UTAUT Using SEM. Journal of Emerging Trends in Computing and Information Sciences, 1, 68-79. Rezaei, S., & Amin, M. (2013). Exploring online repurchase behavioural intention of university students in Malaysia. Journal for Global Business Advancement, 6(2), 92-119. Riedl, R., Hubert, M., & Kenning, P. (2010). Are there neural gender differences in online trust? An fMRI study on the perceived trustworthiness of eBay offers. MIS quarterly, 397-428.
Rogers, E.M. (1995) Diffusion of Innovation. Free Press, New York.
Sarıtaş, E., & Barutçu, S. (2020). Digital transformation in teaching and students' readiness for online learning: A study on Pamukkale University students during the pandemic period. Journal of Internet Applications and Management, 11 (1), 5-22. Schwieren, C., & Sutter, M. (2008). Trust in cooperation or ability? An experimental study on gender differences. Economics Letters, 99(3), 494-497.
Serçemeli, M., & Kurnaz, E. (2020). Research on students' perspectives on distance education and distance accounting education during the Covid-19 pandemic period. International Journal of Social Sciences Academic Research, 4 (1), 40-53. Shashaani, L., & Khalili, A. (2001). Gender and computers: Similarities and differences in Iranian college students' attitudes toward computers. Computers & Education, 37(3-4), 363-375.
Simamora, B. (2003). Winning Market with Marketing. Main Library Gramedia.
Tabachnick, B.G. & Fidell, L.S. (2001). Using Multivariate Statistics. 4th Edition, Allyn and Bacon, Boston.
Taylor, S. & Todd, P.A. (1995) Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19, 561-570. http://dx.doi.org/10.2307/249633 Terzis, V., & Economides, A. A. (2011). Computer based assessment: Gender differences in perceptions and acceptance. Computers in human behavior, 27(6), 2108-2122.
Thompson, R.L., Higgins, C.A. & Howell, J.M. (1991) Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15, 124-143. http://dx.doi.org/10.2307/249443
Turan, Z., & Gürol, A. (2020). An urgent transformation in education: Stress perceptions and opinions of university students taking online courses during the Covid-19 pandemic. Journal of Hasan Ali Yücel Faculty of Education/Hasan Ali Yücel Journal of the Faculty of Education (HAYEF), 17 (2).
Venkatesh, V., Morris, M.G., Davis, G.B. & Davis, F.D. (2003) User Acceptance of Information Technology: Towards a Unified View. MIS Quarterly, 27, 425-478. Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & management, 41(6), 747-762.
Westland, C. & Clark, T. (2000) Global Electronic Commerce: Theory & Case Studies. Massachusetts Institute of Technology, London.
Wu, J.-F., & Chang, Y.P. (2016). Multichannel integration quality, online perceived value and online purchase intention: A perspective of land-based retailers. Internet Research, 26(5), 1228-1248. https://doi.org/10.1108/IntR-04-2014-0111 Yamamoto, G. T., & Altun, D. (2020). The Coronavirus and the rising of online education. Journal of University Research, 3(1), 25-34. Yilmaz Ince, E., Kabul, A., & Diler, İ. (2020). Distance education in higher education in the COVİD-19 pandemic process: A case of Isparta Applied Sciences University. International Journal of Technology in Education and Science, 4(4), 345-351. Yuen, A. H., & Ma, W. W. (2002). Gender differences in teacher computer acceptance. Journal of technology and Teacher Education, 10(3), 365-382.
Zan, N., & Zan, BU (2020). Education in an Emergency with Coronavirus: An Overview of Faculty of Letters Students from Different Regions of Turkey Included in the Distance Education System. Electronic Turkish Studies, 15 (4).