重庆大学英语专业学生Moodle平台在线学习障碍因素分析
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摘要
近几年,随着国内网络平台在线学习的迅速发展, Moodle平台这一开放源代码的网络平台逐步受到各高校的重视。国内也出现了很多关于Moodle平台运用于教学中的研究。但这些研究大多数关注的是Moodle平台的运用,很少进一步探究Moodle平台运用中的效果。
     笔者所在的外国语学院已经开始使用Moodle平台进行语言课程的教学。Moodle的一个重要特色是以社会建构主义教学法为其设计的理论基础,它允许师生或学生彼此间共同思考,合作解决问题。利用Moodle提交作业,讨论课题,互动评价等是Moodle在教学中最为常见的一些操作。但是,通过实际调查,有些学生并没有有效利用Moodle平台进行学习, Moodle在实际课程教学中并没有达到预期的效果。
     为了全面和准确的反映学生在Moodle平台学习中的整体情况和遇到的相关障碍,笔者对所在学院Moodle平台在线学习的障碍因素进行了分析研究,以期对于今后Moodle平台在英语教学中的更好推广使用提供参考。
     本研究将定量研究和定性研究结合起来,用问卷调查和访谈的方法对高校英语专业学生Moodle平台使用障碍进行调查,然后运用SPSS13.0软件和Excel软件对所收集到的数据进行分析,得出以下结论:学习者缺乏动机是Moodle学习的最大障碍。其次是社会交往和指导者问题。再其次是语言技能和平台学习技能,最后是技术支持。本研究也对学生Moodle实际操作作了一个基本的了解。调查表明:学生对要求自主学习或协作学习的平台操作功能普遍感到陌生。同时,本研究中的男生和女生在动机、社会交往、指导者和技术支持方面所遇障碍基本相同,并没有表现出明显差异,在语言技能和平台学习技能上却有着较大差异。
     在结论部分,作者总结了本研究的主要发现,同时指出了本研究对网络平台用于教学的一些启示,分析了本研究存在的一些局限,也对今后的平台教学提出了一些尝试性的建议。
With the rapid development of online learning in China, the open source platform Moodle is attracting much attention from higher education institutions. Despite the fact that research in this field is getting more and more in-depth, most studies focused on the application of Moodle with little attention paid to its effectiveness.
     The College of Foreign Languages of Chongqing University has introduced this platform as a teaching aid. Moodle is based on a socioconstructivist approach to learning, which emphasizes learning through a social group’s collaborative construction of knowledge. Its basic functions in teaching and learning include submitting assignments, discussing topics, assessing peer’s performance and receiving peer feedback. However, through the actual survey, we found that some students did not effectively take advantage of this learning platform and this Moodle teaching in the curriculum does not achieve its desired results.
     Aimed at better understanding the students’overall experience of Moodle-based learning and grasping the leading obstacles in this online learning comprehensively and precisely, an exploratory factor analysis survey was conducted among students in the College of Foreign Languages of Chongqing University.
     By analyzing the data collected from the questionnaire and interview, this article reports on the study that determined the underlying constructs that comprise student barriers to Moodle-based learning. Based on the findings and interview feedback, the author concludes that various learning barriers occurred in the platform learning. They were learner motivation, social interactions, instructor issues, academic skills, technical skills and technical support. Among these barriers, the findings revealed that the most important barrier was a lack of motivation to Moodle. Less important barriers were social interactions and instructor issues. The results also highlighted the current overall picture of Moodle-based learning. The study showed that most students were not familiar with those functions which demand autonomous or cooperative learning. It also showed in this study that the male and the female students hold more or less the same opinion in motivation, social interactions, instructor and technical support barrier. While in the barriers of academic skills and technical skills, they showed a little difference.
     Finally, findings of this study for Moodle-based learning are concluded, and suggestions for further studies as well as its limitations are also put forward.
引文
[1] Ajzen, I., & Fishbein, M. (1977). Attitude–behavior relations: a theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888–918.
    [2] Al-Jarf, R. S. (2005). The effects of online grammar instruction on low proficiency EFL college students’achievement. Asian EFL Journal, 7(4), 166-190. Retrieved February 17, 2008, from http://www.asian-efl-journal.com/December05PDF%20issue.pdf.
    [3] Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with web-based courses– An exploratory study of two on-line MBA programs. Management Learning, 33(3), 331–347.
    [4] Bandura, A. (1991). Self-regulation of motivation through anticipatory and self-reactive mechanisms. Nebraska Symposium on Motivation, 39, 69-164.
    [5] Barbeite, F. G., & Weiss, E. M. (2004). Computer self-efficacy and anxiety scales for an Internet sample: testing measurement equivalence of existing measures and development of new scales. Computers in Human Behavior, 20, 1–15.
    [6] Baskerville, B., & Robb, T. (2005). Using Moodle for teaching business English in a CALL environment. PacALL Journal, 1(1), 138-151. Retrieved February 17, 2008, from http://www.paccall.org/Journal/V-1-1-papers/Baskerville-Robbmoodle-teaching.pdf.
    [7] Bennett, S., Priest, A. M., & Macpherson, C. (1999). Learning about online learning: An approach to staff development for university teachers [Electronic version]. Australian Journal of Educational Technology, 15(3), 201-221.
    [8] Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation information model. MIS Quarterly, 25(3), 270–351.
    [9] Borbely, E. (1994). Challenges and opportunities in extending the classroom and the campus via digital compressed Video. In R. Mason & P. bacsich (Eds.), ISDN: Applications in education and training (pp. 65–82). London: Institution of Electrical Engineers.
    [10] Brandle, K. (2005). Are you ready to“MOODLE”? Language Learning & Technology, 9, 16-23. Retrieved September 7, 2007, from http://llt.msu.edu/vol9num2/review1/.
    [11] Braxton, J., Shaw Sullivan, A. V., & Johnson, Jr., R. M. (1997). Appraising Tinto's theory of college student departure. In J. C. Smart (Ed.), Higher education: Handbook of theory and research, Vol. 12. New York : Agathon Press.
    [12] Cattell, R. B., & Scheier, I. H. (1961). The meaning and measurement of neuroticism and anxiety. New York: Ronald Press.
    [13] Clark, R. E. (1983). Reconsidering research on learning from media. Review of Educational Research, 53(4), 445–459.
    [14] Claudia, M., Steil, A., & Todesco, J. (2004). Factors influencing the adoption of the Internet as a teaching tool at foreign language schools. Computers and Education, 42(4), 353–374.
    [15] Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.
    [16] Dickinson & Wenden (1996). Autonomy and motivation: A literature review. System, 23(2), 165-74.
    [17] Ehrmann, S. C. (1999). Asking the hard questions about technology use and education. Change, 31(2), 25-29.
    [18] Frankola, K. (2001). Why online learners drop out Workforce, 80(10), 53-59.
    [19] Geelan, D. R., & Taylor, P. C. (2001). Embodying our values in our teaching practices: Building open and critical discourse through computer mediated communication. Journal of Interactive Learning Research, 12(4), 375-401.
    [20] Hannan, J. J., & Cole, D. D. (1983). An analysis of why students select introductory high school computer coursework. Educational Technology, 23(4), 26–29.
    [21] Heissen, R. K., Jr., Glass, C. R., & Knight, L. A. (1987). Assessing computer anxiety: development and validation of the computer attitude rating scale. Computer in Human Behavior, 3(1), 49–59.
    [22] Igbaria, M. (1990). End-user computing effectiveness: A structural equation model. OMEGA, 18(6), 637–652.
    [23] Iverson, K. (1995). The Telecourse Success Prediction Inventory. Chicago , IL : Loyola University.
    [24] Joo, Y. J., Bong, M., & Choi, H. J. (2000). Self-efficacy for self-regulated learning, academic self-efficacy, and Internet self-efficacy in web-based instruction. Educational Technology Research and Development, 48(2), 5–17.
    [25] Karahanna, E., Straub, D. W., & Chervany, N. L. (2002). Information technology adopting across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183–213.
    [26] Kember, D. (1995). Opening learning courses for adults: A model of student progress. Englewood Cliffs, NJ; Education Technology Publications.
    [27] Kirk, S. A.(1963). Behavioral Diagnosis and Remediation of Learning Disabilities In S.Kirk & J.MeCarthy(Eds.), Learning Disabilities: Selected ACLD Papers Boston, MA:Houghton Mifflin,1975.7-10.
    [28] Lachem, C., Mitchell, J., & Atkinson, R. (1994). ISDN-based videoconferencing in Australian tertiary education. In R. Mason & P. Bacsich (Eds.), ISDN: Applications in education and training (pp. 99–113). London: Institution of Electrical Engineers.
    [29] Lauris, J. Grace & Peter, J. Smith (2001). Flexible delivery in the Australian Vocational education and training sector. Barriers to students identified in case studies of four adult learners, Distance Education, Melbourne; Vol.22 (2).
    [30] Lepper, M. R. (1988). Motivational Considerations in the Study of Instruction. Cognition and Instruction, 5(4), 289-309.
    [31] Lin, Cathy S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into expectation-conrmation model for web portal context. Information & Management, 42, 683–693.
    [32] Lynch, M. M. (2001). Effective student preparation for online learning. The Technology Source. Retrieved November 6, 2001, from http://ts.mivu.org/default.asp?show=article&id=901
    [33] Martins, L. L., & Kellermanns, F. W. (2004). A model of business school students’acceptance of a web-based course management system. Academy of Management Learning and Education, 3, 7–26.
    [34] Masiello, I., Ramberg, R., & Lonka, K. (2005). Attitudes to the application of a Web-based learning system in a microbiology course. Computers and Education, 45(2), 71–185.
    [35] Mason, R., & Weller, M. (2000). Factors affecting students' satisfaction on a web course. Australian Journal of Educational Technology, 16(2), 173-200.
    [36] McLoughlin, C. (1999). The implications of the research literature on learning styles for the design of instructional materials. Australian Journal of Educational Technology, 15(3), 222-241.
    [37] Melton, J. (2006). The LMS moodle: A Usability Evaluation, Prefectural University of Kumamoto.
    [38] Miller, M., Rainer, R., & Corley, J. (2003). Predictors of engagement and participation in an online course. Online Journal of Distance Learning Administration, 6, (1). Retrieved February 1, 2006, from State University of West Georgia, Distance Education Center Website: http://www.westga.edu/~distance/ojdla/spring61/miller61.htm
    [39] Moore , M. (1990a). Contemporary Issues in American Distance Education. Oxford : Pergamon Press.
    [40] Moore, M. G. (1989). Three types of interaction. The American Journal of Distance Education, 3(2), 1-6.
    [41] Moore, M. G., & Kearsley, G. (1996). Distance education: A systems view. Belmont, CA: Wadsworth
    [42] Muilenburg, L. Y., & Berge, Z. L. (2001). Barriers to distance education: A factor-analytic study. American Journal of Distance Education, 15(2), 7–24.
    [43] Muilenburga, L.Y., & Berge, Z. L.(2005). Student Barriers to Online Learning: A factor analytic study. Distance Education, 2005(5), 29-48.
    [44] Muir-Herzig, R. G. (2004). Technology and its impact in the classroom. Computers and Education, 42 (2), 111–131.
    [45] Myers, P., & Ostash, H. (2001, June). Building a virtual campus. Journal of the Faculty Association of California Community Colleges, p. 7.
    [46] Myers, T. (2001, June). The digital democracy: Expanding the community college with online classes. Journal of the Faculty Association of California Community Colleges, p. 5.
    [47] Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (in press). Empirical examination of the adoption of WebCT using TAM. Computers & Education, doi:10.1016/j. compedu. 2006.11.007.
    [48] Oliver, R. L. (1980). A cognitive model for the antecedents and consequences of satisfaction. Journal of Marketing Research, 17, 460–469.
    [49] Ong, C.-S., Lai, J.-Y., & Wang, Y.-S. (2004). Factors aecting engineers’acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41, 795–804.
    [50] Osborn, V. (2001). Identifying at-risk students in videoconferencing and web-based distance education. The American Journal of Distance Education, 8 (1), 47-63.
    [51] Palloff, R., & Pratt, K. (2001). Lessons from the cyberspace classroom (p. 47). San Francisco: Jossey-Bass.
    [52] Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: a research framework and a preliminary assessment of effectiveness in basic IT skill training. MIS Quarterly, 25 (4), 401–426.
    [53] Pituch, K. A., & Lee, Y.-K. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47, 222–244.
    [54] Robb, T. (2004). Moodle: A virtual learning environment for the rest of us. TESL-EJ, 8 (2), 1-8. Retrieved September 5, 2007, from :http://tesl-ej.org/ej30/m2.html
    [55] Rovai, A. (2003). In search of higher persistence rates in distance education online programs. Internet and Higher Education, 6 (1), 1-16.
    [56] Salmon, G. (1998). E-moderating: The key to teaching and learning online. London: KoganPage.
    [57] Savrock, J. T. (2001). Speaking personally with Dennis Bancroft. The American Journal of Distance Education, 15 (3), 70-78.
    [58] Scalese, E. (2001). What can a college distance education program do to increase persistence and decrease attrition? Journal of Instruction Delivery Systems, Vol. 15 (3), 17.
    [59] Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. Computers & Education, 40, 343–360.
    [60] Spielberger, C. D. (1976). The nature and measurement of anxiety. In C. S. Spielberger (Ed.), Cross-cultural anxiety. Washington, DC: Hemisphere/Wiley.
    [61] Sun, H., & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies, 64, 53–78.
    [62] Thompson, L. F., Meriac, J. P., & Cope, J. G. (2002). Motivating online performance: the inuences of goal setting and Internet self-ecacy. Social Science Computer Review, 20(2), 149–160.
    [63] Tsai, Y. C. & Liou, H. C. (2006). Design and development of online academic English writing materials: Genre analysis for Introductions of research articles in the applied linguistics fields. Paper presented at 2006 International Conference on TEFL, Ming Chuan University, Taipei.
    [64] Van Patten, J., & Chen, G. (2002). The Internet culture, student learning and student retention. Paper presented at the annual meeting of the American Educational Research Association. New Orleans , LA. , April 1-5.
    [65] Wang, A. Y., & Newlin, M. H. (2002). Predictors of web-student performance: the role of self-ecacy and reasons for taking an on-line class. Computers in Human Behavior, 18, 151–163.
    [66] Ward, J. and G. La Branche. Blended Leaming: The Convergence of E-leaming and Meetings, Franchising World, 35:4, May/June 2003, pp.22-23.
    [67] Webster, J., & Hackley, P. (1997). Teaching eectiveness in technology-mediated distance learning. Academy of Management Journal, 40(6), 1282–1309.
    [68] Williams, M. & Burden, R. L. (1997). Psychology for language teachers. Cambridge University Press.
    [69] World Health Organization. (1968).
    [70] Wu, J. P., Tsai, R. J., Chen, C. C., & Wu, Y. C. (2006). An integrative model to predict the continuance use of electronic learning systems: hints for teaching. International Journal on E-Learning, 5(2), 287–302.
    [71]陈肖生(2002).网络教育与学习适应性的研究综述.《中国远程教育》.第3期:6-8,13.
    [72]黄富顺(2002).《成人学习》.台北:五南图书出版公司.
    [73]蒋成凤,魏志慧,师书恩(2003).网络学习障碍分析与研究综述.《中国远程教育》.第1期:32-35.
    [74]黎加厚,冯钧芳(2006).黎加厚教授答(Moodle)相关问题.《信息教育技术》.第12期:6-9.
    [75]孟琦(2003).课堂信息化教学有效性研究——教育技术之实用取向.华东师范大学博士论文.
    [76]施志毅,熊庆年(2006).网络大学热的冷思考.《中国远程教育》.第7期:15-17.
    [77]王珠珠,张伟远(2006).在职教师网上学习困难之调查报告.《开放教育研究》.第2期: 36-38.
    [78]张伟远,胡军(2002).西北远程学习者特征和学习的障碍调查报告.《中国远程教育》.第4期:10-11.

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