The impact of students attention, preparation and attitude on satisfaction with online learning zone

Changes in technologies have changed our lives. Education field was not exempted from the current technological changes. Technology now plays an important role to improve accessibility in seeking knowledge and wisdom much faster and easier. The changes of Malaysia's education system and worldw...

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Main Author: Anisah, Abdul Ghani
Format: Thesis
Language:eng
eng
Published: 2014
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Online Access:https://etd.uum.edu.my/4085/1/s812338.pdf
https://etd.uum.edu.my/4085/7/s812338_abstract.pdf
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id my-uum-etd.4085
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Abdullateef, Aliyu Olayemi
topic LB2300 Higher Education
T Technology (General)
spellingShingle LB2300 Higher Education
T Technology (General)
Anisah, Abdul Ghani
The impact of students attention, preparation and attitude on satisfaction with online learning zone
description Changes in technologies have changed our lives. Education field was not exempted from the current technological changes. Technology now plays an important role to improve accessibility in seeking knowledge and wisdom much faster and easier. The changes of Malaysia's education system and worldwide generally have taken steps to lead the field in using trusted online access to benefit the education sector. Public and private institutions in Malaysia have been taking advantage from ease of internet access to provide its students with more secure and reliable information more efficiency. Therefore, this study is to examine the level of acceptance using Learning Zone as a portal that helps learning process. In this study, three basic instruments of attention, preparation, attitude and user satisfaction (US) that use as to explain Learning Zone. Furthermore, this study examined whether attention and preparation will have an impact on the attitude to achieve satisfaction. Students of Universiti Utara Malaysia (UUM) which have access of using Learning Zone have been selected to participate in the study. A total of 349 usable data provide by the respondents is being used to achieve the objectives of the study. To empirically establish three objectives, correlation and regression analysis were used to examine whether attention and preparation will have any impact on user satisfaction. Evidently, the correlation analysis shows that there is a significant and strong positive correlation between attention, preparation, and attitude towards user satisfaction.
format Thesis
qualification_name masters
qualification_level Master's degree
author Anisah, Abdul Ghani
author_facet Anisah, Abdul Ghani
author_sort Anisah, Abdul Ghani
title The impact of students attention, preparation and attitude on satisfaction with online learning zone
title_short The impact of students attention, preparation and attitude on satisfaction with online learning zone
title_full The impact of students attention, preparation and attitude on satisfaction with online learning zone
title_fullStr The impact of students attention, preparation and attitude on satisfaction with online learning zone
title_full_unstemmed The impact of students attention, preparation and attitude on satisfaction with online learning zone
title_sort impact of students attention, preparation and attitude on satisfaction with online learning zone
granting_institution Universiti Utara Malaysia
granting_department Othman Yeop Abdullah Graduate School of Business
publishDate 2014
url https://etd.uum.edu.my/4085/1/s812338.pdf
https://etd.uum.edu.my/4085/7/s812338_abstract.pdf
_version_ 1747827677759275008
spelling my-uum-etd.40852022-04-10T00:08:48Z The impact of students attention, preparation and attitude on satisfaction with online learning zone 2014 Anisah, Abdul Ghani Abdullateef, Aliyu Olayemi Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business LB2300 Higher Education T Technology (General) Changes in technologies have changed our lives. Education field was not exempted from the current technological changes. Technology now plays an important role to improve accessibility in seeking knowledge and wisdom much faster and easier. The changes of Malaysia's education system and worldwide generally have taken steps to lead the field in using trusted online access to benefit the education sector. Public and private institutions in Malaysia have been taking advantage from ease of internet access to provide its students with more secure and reliable information more efficiency. Therefore, this study is to examine the level of acceptance using Learning Zone as a portal that helps learning process. In this study, three basic instruments of attention, preparation, attitude and user satisfaction (US) that use as to explain Learning Zone. Furthermore, this study examined whether attention and preparation will have an impact on the attitude to achieve satisfaction. Students of Universiti Utara Malaysia (UUM) which have access of using Learning Zone have been selected to participate in the study. A total of 349 usable data provide by the respondents is being used to achieve the objectives of the study. To empirically establish three objectives, correlation and regression analysis were used to examine whether attention and preparation will have any impact on user satisfaction. Evidently, the correlation analysis shows that there is a significant and strong positive correlation between attention, preparation, and attitude towards user satisfaction. 2014 Thesis https://etd.uum.edu.my/4085/ https://etd.uum.edu.my/4085/1/s812338.pdf text eng public https://etd.uum.edu.my/4085/7/s812338_abstract.pdf text eng public masters masters Universiti Utara Malaysia Adarns, D., Nelson, R. R., Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16, 227-247. Ahmed, Y., & Raheem, A. (2012). Interactions quality in MOODLE as perceived by learners and its relation with some variables. Turkish Online Journal of Distance Education, 13(3), 375-389. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes andpredicting social behavior. Englewood Cliffs, New Jersey: Prentice-Hall. Ajzen, I. 1988. Attitudes, Personality and Behavior, Dorsey Press, Chicago, IL., Ajzen, I. (1991), “The Theory of Planned Behaviour,” Organizational Behaviour and Human Decision Processes, 50(2), 179–211. Al-Gahtani (2001). The applicability of TAM outside North America: An empirical test in the United Kingdom. Information Resources Management Journal 14(3), 37. Ali Sher (2009). Assessing the relationship of student-instructor and student-student interaction to student learning and satisfaction in Web-based Online Learning. Environment. Journal of Interactive Online Learning, 8(2). Bearden, W. O. & Rose, R. L. (1990). Attention to social comparison information: An individual difference factor affecting consumer conformity. Journal of Consumer Research, 16, 461-471. Becker, D.A. and Dwyer, M.N. (1994), “Using hypermedia to provide learner control”, Journal of Educational Multimedia and Hypermedia, 3 (2), 155-172. Bernard, H. R. (1995). Research methods in anthropology: Qualitative and quantitative approaches. Walnut Creek, CA: AltaMira. Berge, Z. (1999). Interaction in post-secondary Web-based learning. Educational Technology, 39(1), 5-11. Blackwell, R.D., Paul, W.M. & James, F.E. (2006). Attributes of Attitudes. In Consumer Behavior,‟. 235-243, USA: Thomson Press. Boldt, D. J., Gustafon, L. V. & Johnson, J. E. (1995). The Internet: a curriculum warehouse for social studies teachers. Soc. Stud, 86, 105-116. Bryman, A. (2007). Business Research Methods. Oxford University Press. Byrne, B. M. (2010). Structural Equation Modeling with AMOS; Basic Concepts, Application and Programming 2nd edition; Routledge Taylor and Francis Group New York. Carnagan, C.,&Webb, A. (2005). Investigating the effects of group response systems on learning outcomes and satisfaction in accounting education. Working paper from the School of Accountancy at the University of Waterloo, Ontario, Canada. Cavana, R. Y., Delahaye, B. L., & Sekaran, U. (2001). Applied business research: Qualitative and quantitative methods. Queensland: John Wiley & Sons. Chen, H.-L., & Williams, J. P. (2008). Use of multi-modal media and tools in an online information literacy course: College students‟ attitudes and perceptions. The Journal of Academic Librarianship, 35(1), 14–24. Chewe, P. & Chitumbo, E. M. M. (2012). Moodle adoption at the University of Zambia: Opportunities and Challenges, Science Journal of Sociology and Anthropology, 289. Cohen, S. (2005). Personal response systems changing college classrooms. Knight Ridder Tribune Business News, 1. Churchill, G.A. Jr (2001), Basic Marketing Research, (4th ed), The Dryden Press, Fort Worth, TX. Coakes, S. J. & Steed, L. (2007). SPSS version 14.0 for Windows: Analysis without anguish. Melbourne: Wiley. Cooper, C. R. and Schindler, P. S. (2011). Business Research Methods. (11th Edition). New York: Mc-Graw Hill. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 318-340. 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. DeBono, K. G. (1987). Investigating the social-adjustive and value-expressive functions of attitudes: Implications for persuasion processes. Journal of Personality and Social Psychology, 52, 279-287. DeBono, K. G. & Packer, M. (1991). The effects of advertising appeal on perceptions of product quality. Personality and Social Psychology Bulletin, 17, 194-200. De Freitas, S. and Oliver, M. (2005), “Does e-learning policy drive change in higher education? A case study relating models of organisational change to elearning implementation”, Journal of Higher Education Policy and Management, 27(1), 81-95. Eastman J. K. (2007). Enhancing classroom communication with interactive technology: How faculty can get started. International College Teaching Methods & Styles Journal, 3(1), 31–38. Eastman, J.K, Iyer, & Eastman, K.L, (2011). Business Students‟ Perceptions, Attitudes, and Satisfaction with Interactive Technology: An Exploratory Study. Journal of Education for Business, 86, 36–43. Fishbein, M. & Ajzen, I. (1975), Belief; attitude, intention and behavior: an introduction to theory and research. Reading, MA: Addison-Wesley. Gaudioso, E., Hernandez-del-Olmo, F. and Montero, M. (2009), “Enhancing elearning through teacher support: two experiences”, IEEE Transaction on Education, 52 (1), 109-15. Ghosh, S., & Renna, F. (2009). Using electronic response systems in economics classes. Journal of Economic Education, 40, 354–365. Hair, J. F., Black, W. C., Babin, B.J., Anderson, R.E., & Tatham, R.L. (2006) Multivariate data analysis (6th Ed). Upper Saddle River, New Jersey: Pearson Education International. Haruna, M. Z. (2010). Software architecture evaluation using Architecture Trade off Analysis Method (ATAM): A case study off UUM learning zone system, Universiti Utara Malaysia. Master of Science (Information and Communication Technology). Hau, K. T., & Marsh, H. W. (2004). The use of item parcels in structural equation modeling: Non-normal data and small sample sizes” British Journal of Mathematical & Statistical Psychology, Volume (57), 327-351. Hendricks, J. D., Meyers, T. R., Casteel, J. L., Nixon, J. E., Loveland, P. M., Bailey, G. S. (1984). Rainbow Trout Embryos: Advantages and Limitations for Carcinogenesis Research. Natl Cancer Inst., Monogr, 65, 129-137. Horst, P. (1968). Personality: Measurement of Dimensions. California: Jossey-Bass. Johnson, R. B., & Christensen, L. B. (2004). Educational research: Quantitative, qualitative, and mixed approaches. Boston: Allyn and Bacon. Khan, M. B. (2009). Effects of information technology usage on student learning- An empirical study in the United States. International Journal of Management, 26, 354-364. Kuiper, E., Volman, M. and Terwel, J. (2005), “The web as an information resource in K-12 education: strategies for supporting students in searching and processing information”, Review of Educational Research, 75 (3), 285-328. Learning Systems Architecture Lab [LSAL]. (2004). SCORM Best practices guide for content developers (2004 ed.). Pittsburgh: Carnegie Mellon University. Lincoln, D. J. (2008). Teaching with clickers in the large-size principles of marketing class. Marketing Education Review, 18(1), 39–45. Lindel, M. K. and Whitney, D. J. (2001). Accounting for Common Method Variance in Cross-Sectional Research Design. Journal of Applied Psychology, 86 (1), 114-121. Longley, Dennis, Shain, Michael (1985). Dictionary of Information Technology (2 ed.), Macmillan Press, 164. Malhotra, N. K. (2004). Marketing Research: An Applied Orientation. London: Prentice Hall. Manochehr, N., (2006). The influence of learning styles on learners in e-learning environments: An Empirical Study. Comp. Higher Educ. Econ. Rev., 18, 10-14. Markus, H. R., & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98, 224-253. Marshall M.N. (1996). The key informant technique. Fam Pract. 13, 92-97. Maslin, M. (2007). Technology Acceptance Model and E-learning. 12" International Conference on Education. Sultan Hassanal Bolkiah Institute of Education University Brunei Darussalam. Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with theory of planned behavior. Information Systems Research, 2(3), 173-191. Matulich, E., Papp, R., & Haytko, D. L. (2008). Continuous improvement through teaching innovations: A requirement for today‟s learners. Marketing Education Review, 18(1), 1–7. Menkhoff, T., Thang, T. Y., Chay, Y. W., and Wong, Y. K. (2011). Engaging knowledge management learners through web- based ICT: an empirical study. The Journal of Information and Knowledge Management System. 4l(2), 132-151. Moodle (2005) Moodle Website. http://moodle.org. Moodle (2010). Moodle Website. http://moodle.org. Moore, M., & Kearsley, G. (1996). Distance education: A systems view. Belmont, CA: Wadsworth. Mostafa, M. R. (2008). Evaluation of the Implementation, Use and Effect of A Computerized Management Information System In College of Business Utara Malaysia. Nelson, M. L., & Hauck, R. V. (2008). Clicking to learn: A case study of embedded radio-frequency based clickers in an introductory management information systems course. Journal of Information Systems Education, 19(1), 55–64. Nitish.S, Georg.F, Jonas A.H & Mike C.H.C, (2004) Understanding international Web site usage a cross-national study of German, Brazilian, and Taiwanese online consumers. International Marketing Review. 23(1), 83-97. Northrup, P. (2002). Online learners‟ preferences for interaction. The Quarterly Review of Distance Education, 3, 219-226. Northrup, P. (2005). The online campus: A systems view of learner support. Unpublished manuscript, The University of West Florida. Norusis, M. J. (1999). SPSS/PC+ Statistics 6.0 for the IBM PC/XT/AT and PS/2. Prentice Hall, Library of Congress, USA. OECD (2005), E-learning in Tertiary Education: Where Do we Stand?. 292. Open Source Initiative. (2008). http://www.opensource.org/. Oppenheim, A. (1986). Questionnaire Design and Attitude Measurement. Gower Publishing Company: London. Paladino, A. (2008).Creating an interactive and responsive teaching environment to inspire learning. Journal of Marketing Education, 30, 185– 188. Pallant, J. (2005). SPSS Survival Manual. Milton Keynes: Open University Press. Passerini, K. and Granger, M.J. (2000), “A developmental model for distance learning using the internet”, Computers and Education, 34 (1), 1-15. Peslak, A.R., Subramanian, G.H. and Clayton, G.E. (2007), “The phases of ERP software implementation and maintenance: a model for predicting preferred ERP use”, The Journal of Computer Information Systems, 48 (2), 25-34. Pinsonneault, A., & Kraemer. K.L (1993). Survey research methodology in management information system: an Assessment. Journal of Management Information Systems, 10, 75-105. Ramayah, T. (2002). Impact of Perceived usefulness, Perceived ease of use and Perceived Enjoyment on Intention to shop online. Randall, D. M., and A. M. Gibson. 1991. “Ethical Decision Making in the Medical Profession: An Application of the Theory of Planned Behavior.” Journal of Business Ethics, 10(2), 111-122. Reigluth, C. M. (1999). Instructional design theories and models: A new paradigm of instructional theory, Lawrence Erlbaum Associates, Publishers, Mahmah, N.J Research Institute of Bangkok University. (2002). Model of e-Learning Adoption: Case Study in Bangkok University Undergraduate Students. Retrieved on June 08, 2008, from http://research.bu.ac.th/extra/article017.html. Robling, G., Malmi, L., Claney, M., Joy, M., Kerren, A., Korhonen, A., Moreno, A., Naps, T., Oechsle, R., Radenski, A., Ross, R.J. & Velazquez, J.A., (2008)“Enhancing Learning Management Systems to Better Support Computer Science Education”, 40(4). Ronen. M., Kohen V, D., & Raz F., N. (2006). Structuring, Sharing and Reusing Asynchronous Collaborative Pedagogy. ICLS. Roscoe, J.T. (1975). Fundamental Research Statistics for the Behavioural Sciences, 2nd edition. New York: Holt Rinehart & Winston Rosenberg, M.J. (2001), E-learning: Strategies for Delivering Knowledge in the Digital Age, McGraw-Hill Professional, New York, NY. Saba, F. (1999). Architecture of dynamic distance instructional and learning systems. Distance Education Report, 3(8), 1-5. Sachs, D. & Hale, N. (2003), “Pace University‟s focus on student satisfaction with student services in online education”, Journal of Asynchronous Learning Networks, 7 (2), 36-42. Salkind, N.J. (2000). Exploring research. (4th Ed.). Upper Saddle River, NJ: Prentice Hall. Sanchez, R. A. & Hueros, A. D. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computers in Human Behavior, 26, 1632- 1640. Savage, S. J. (2009). The Effect of Information Technology on Economic Education. Journal of Economic Education, 40, 337–353. Sekaran, U. (2003). Research Methods for Business: A Skill Building Approach. (4th Edition). Chichester: John Wiley. Sekaran, U. (2009). Research Methods for Business: A Skills-Building Approach. (6th Ed). New York: John Wiley & Sons, Inc. Sekaran, U. and Bougie, R. (2013) Research Methods for Business: A Skills-Building Approach. (6th Ed). New York: John Wiley & Sons, Inc. Simpson, S. (2007, January 28). Faculty telling students to “click”: Technology makes it easier for professors to give quizzes and foster classroom discussions. Knight Ridder Tribune Business News, 1. Sloan Consortium. (2002). The Sloan Consortium: The 5 pillars. Retrieved from http://www.sloan-c.org/. Stone, L., Escoe, G. M., & Schenk, R. (1999). Multimedia instruction methods. Journal of Economic Education, 30, 265–275. Suleiman, Alhaji Ahmad, Umar Bawa Chinade & Abdu Muhammad Gambaki (2012). The need for MOODLE as a learning management system in Nigerian Universities: Digesting University Utara Malaysia Learning Zone as a case study. Academic Research International, 2(3) , 444-458. Snyder, M. & DeBono, K. G. (1985). Appeals to images and claims about quality: Understanding the psychology of advertising. Journal of Personality and Social Psychology, 49, 586-597. Taylor, P. S. (2007). Can clickers cure crowded classes? Maclean’s, 120(26/27), 73. Terreri, A. and T. Simons (2005). What Are They Thinking? Presentations 19 (2), 36. Toral, S. L., Barrero, F., Martinez-Torres, M. R., Gallardo, S., & Duran, M. J. (2009). Modeling learning satisfaction in an electronic instrumentation and measurement course using structural equation models. IEEE Transactions on Education, 52(1), 190–199. Unal, Z. & Unal, A. (2011). Evaluating and Comparing the Usability of Web-Based Course Management systems. Journal of Information Technology Education, 10, 19-38. Unmuth, K. L. (2004, March 30). Wichita, Kansas college students try out classroom interaction technology. Knight Ridder Tribune Business News, 1. Wernet, S.P., Olliges, R.H., Delicath, T.A. (2000). SOCIAL work education, INTERNET (Computer network) in education, Research on Social Work Practice, 10 (4), 487-505. Zhang, D. (2005), „„Interactive multimedia-based e-learning: a study of effectiveness‟‟, The American Journal of Distance Education , 19 (3), 149-62. Xu, Y., Summers, T. A., and Belleau, B. D. (2004) “Who Buys American Alligator? Predicting Purchase Intention of a Controversial Product,” Journal of Business Research, 57, 1189–98. Zikmund, W. G. (1997). Business Research Method. (5th Edition). Fort Worth: The Dryden Press. Zikmund,W.G., Babin, B.J., Carr J.C., and Griffin M. (2010), “ Business Research Method”, 8thed. International Student Edition Package, South-Western, Cengage Learning.