The Relationship Between Quality of Student Contribution in Learning Activities and their Overall Performances in an Online Course

1. Abrami, P. C., Bernard, R. M., Bures, E. M., Borokhovski, E., & Tamim, R. M. (2011). Interaction in distance education and online learning: Using evidence and theory to improve practice. Journal of Computing in Higher Education, 23(2-3), 82-103.10.1007/s12528-011-9043-xSearch in Google Scholar

2. Agudo-Peregrina, Á. F., Iglesias-Pradas, S., Conde-González, M. Á., & Hernández-García, Á. (2014). Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Computers in Human Behavior, 31, 542-550.10.1016/j.chb.2013.05.031Search in Google Scholar

3. Alkhateeb, M., Hayashi, Y., & Hirashima, T. (2015). Comparison between Kit-Build and Scratch-Build Concept Mapping Methods in Supporting EFL Reading Comprehension. The Journal of Information and Systems in Education, 14(1), 13-27.10.12937/ejsise.14.13Search in Google Scholar

4. Arbaugh, J. B. (2002). Managing the online classroom: a study of technological and behavioral characteristics of web-based MBA courses. Journal of High Technology Management Research, 13, 203-223.10.1016/S1047-8310(02)00049-4Search in Google Scholar

5. 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), 331-347.10.1177/1350507602333003Search in Google Scholar

6. Beaudoin, M. F. (2002). Learning or lurking? Tracking the “invisible” online student. The internet and higher education, 5(2), 147-155.10.1016/S1096-7516(02)00086-6Search in Google Scholar

7. Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., & Bethel, E. C. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational research, 79(3), 1243-1289.10.3102/0034654309333844Search in Google Scholar

8. Cacciamani, S., Cesareni, D., Martini, F., Ferrini, T., & Fujita, N. (2012). Influence of participation, facilitator styles, and metacognitive reflection on knowledge building in online university courses. Computers & Education, 58(3), 874-884.10.1016/j.compedu.2011.10.019Search in Google Scholar

9. Case, S. M., & Swanson, D. B. (2001). Constructing written test questions for the basic and clinical sciences (2^nd ed.). Philadelphia: National Board of Medical ExaminersSearch in Google Scholar

10. Chan, C. K., & Chan, Y. Y. (2011). Students’ views of collaboration and online participation in Knowledge Forum. Computers & Education, 57(1), 1445-1457.10.1016/j.compedu.2010.09.003Search in Google Scholar

11. Cheng, G., & Chau, J. (2016). Exploring the relationships between learning styles, online participation, learning achievement and course satisfaction: An empirical study of a blended learning course. British Journal of Educational Technology, 47(2), 257-278.10.1111/bjet.12243Search in Google Scholar

12. Cohen, D., & Prusak, L. (2001). In good company: how social capital makes organizations work. MA, Boston: Harvard Business Press.10.1145/358974.358979Search in Google Scholar

13. Cunningham, J. M. (2015). Mechanizing People and Pedagogy: Establishing Social Presence in the Online Classroom. Online Learning, 19(3), 34-47.10.24059/olj.v19i3.476Search in Google Scholar

14. Dabbagh, N., & Kitsantas, A. (2012). Personal Learning Environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. The Internet and higher education, 15(1), 3-8.10.1016/j.iheduc.2011.06.002Search in Google Scholar

15. Dennen, V. P., & Paulus, T. M. (2006). Researching “collaborative knowledge building” in formal distance learning environments. In T. Koschman, T. W. Chan & D. D. Suthers (Eds.), Computer supported collaborative learning 2005: The next 10 Years! International Society of the Learning Sciences, Taipei.10.3115/1149293.1149307Search in Google Scholar

16. Dimkov, T., Pieters, W., & Hartel, P. (2011). Training students to steal: a practical assignment in computer security education. Proceedings of the 42nd ACM technical symposium on computer science education, 21-26.10.1145/1953163.1953175Search in Google Scholar

17. Earl-Novell, S. (2006). Determining the extent to which program structure features and integration mechanisms facilitate or impede doctoral student persistence in mathematics. International Journal of Doctoral Studies, 1, 52-55.10.28945/60Search in Google Scholar

18. Ferrer de Valero, Y. (2001). Departmental factors affecting time-to-degree and completion rates of doctoral students at one land-grant research institution. The Journal of Higher Education, 72(3), 341-367.10.2307/2649335Search in Google Scholar

19. Freeman, M., & McKenzie, J. (2002). SPARK, A Confidential Web-Based Template for Self and Peer Assessment of Student Teamwork: Benefits of Evaluating across Different Subjects. British Journal of Educational Technology, 33, 551-569.10.1111/1467-8535.00291Search in Google Scholar

20. Gibbs, G. (2006). How assessment frames student learning. In C. Bryan & K. Clegg (Eds.), Innovative assessment in higher education (pp. 23-36). London: Routledge.Search in Google Scholar

21. Greller, W., Santally, M. I., Boojhawon, R., Rajabalee, Y., & Kevin, R. (2017). Using Learning Analytics to Investigate Student Performance in Blended Learning Courses. Journal of Higher Education Development – ZFHE, 12(1).10.3217/zfhe-12-01/03Search in Google Scholar

22. Harvey, L. (2000). New realities: the relationship between higher education and employment. Tertiary Education and Management, 6, 3-17.10.1080/13583883.2000.9967007Search in Google Scholar

23. HEFCE-PISG (1999). Performance indicators in higher education. First report of the performance indicators steering group, 99/11. Bristol: HEFCE.Search in Google Scholar

24. Hirashima, T., Yamasaki, K., Fukuda, H., & Funaoi, H. (2011). Kit-Build Concept Map for Automatic Diagnosis. Proceedings of Artificial Intelligence in Education 2011, Auckland, New Zealand: Springer-Verlag Berlin Heidelberg, 466-468.10.1007/978-3-642-21869-9_71Search in Google Scholar

25. Hirashima, T., Yamasaki, K., Fukuda, H., & Funaoi, H. (2015). Framework of kit-build concept map for automatic diagnosis and its preliminary use. Research and Practice in Technology Enhanced Learning, 10(1), 1-21.10.1186/s41039-015-0018-9Search in Google Scholar

26. Hong, K. S. (2002). Relationships between students’ and instructional variables with satisfaction and learning from a Web-based course. Internet and Higher Education, 5, 267-281.10.1016/S1096-7516(02)00105-7Search in Google Scholar

27. Hussain, Ch. A. (2006). Effect of Guidance Services on Study Attitudes, Study Habits and Academic Achievement of Secondary School Students. Bulletin of Education and Research, 28(1), 35-45.Search in Google Scholar

28. Ke, F. (2010). Examining online teaching, cognitive, and social presence for adult students. Computers & Education, 55(2), 808-820.10.1016/j.compedu.2010.03.013Search in Google Scholar

29. Larres, P. M., Ballantine, J. A., & Whittington, M. (2003) Evaluating the validity of self-assessment: Measuring computer literacy among entry-level undergraduates within accounting degree programmes at two UK universities. Accounting Education, 12, 97-112.10.1080/0963928032000091729Search in Google Scholar

30. Lave, J., & Wenger, E. (1991). Situated learning: legitimate peripheral participation. Cambridge, UK: Cambridge University Press.10.1017/CBO9780511815355Search in Google Scholar

31. Lin, W.-J., Yueh, H.-P., Liu, Y.-L., Murakami, M., Kakusho, K., & Minoh, M. (2006). Blog as a tool to develop e-learning experience in an international distance course. Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (ICALT’06).Search in Google Scholar

32. Lovitts, B., & Nelson, C. (2000). The hidden crisis in graduate education: Attrition from Ph.D. programs [Electronic version]. Academe Online.10.2307/40251951Search in Google Scholar

33. Macfadyen, L. P., & Dawson, S. (2010). Mining LMS data to develop an “early warning system” for educators: A proof of concept. Computers & Education, 54(2), 588–599. http://dx.doi.org/10.1016/j.compedu.2009.09.00810.1016/j.compedu.2009.09.008Open DOISearch in Google Scholar

34. Macfadyen, L. P., & Dawson, S. (2012). Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan. Educational Technology & Society, 15(3), 149-163.Search in Google Scholar

35. McCoubrie, P. (2004). Improving the fairness of multiple-choice questions: a literature review. Medical teacher, 26(8), 709-712.10.1080/01421590400013495Search in Google Scholar

36. McGloughlin, C., & Lee, M. J. W. (2010). Personalised and self regulated learning in the WebSearch in Google Scholar

2.0 era: International exemplars of innovative pedagogy using social software. Australasian Journal of Educational Technology, 26(1), 28–43Search in Google Scholar

37. McLoughlin, C., & Luca, J. (2002). A learner–centred approach to developing team skills through web–based learning and assessment. British Journal of Educational Technology, 33(5), 571-582.10.1111/1467-8535.00292Search in Google Scholar

38. Millar, R. (2010). Analysing practical science activities to assess and improve their effectiveness. Hatfield: Association for Science Education.Search in Google Scholar

39. Moore, M. G., & Kearsley, G. (2005). Distance education: A systems view (2^nd ed.). Belmont, CA: Wadsworth Publishing Company.Search in Google Scholar

40. Mushtaq, S. N. K. (2012). Factors affecting students’ academic performance. Global Journal of Management and Business Research, 12(9).Search in Google Scholar

41. Naranjo, M., Onrubia, J., & Segués, M. T. (2012). Participation and cognitive quality profiles in an online discussion forum. British Journal of Educational Technology, 43(2), 282-294.10.1111/j.1467-8535.2011.01179.xSearch in Google Scholar

42. Nomura, T., Hayashi, Y., Suzuki, T., & Hirashima, T. (2014). Knowledge Propagation in Practical Use of Kit-Build Concept Map System in Classroom Group Work for Knowledge Sharing. Proceeding of International Conference on Computers in Education Workshop 2014, Nara, Japan: ICCE 2014 Organizing Committee, 463-472.Search in Google Scholar

43. Nonaka, I., & Konno, N. (1998). The concept of BA: Building a foundation for knowledge creation. California Management Review, 40(3), 40-54.10.2307/41165942Search in Google Scholar

44. Norhidayah, A., Kamaruzaman, K., Syukriah, A., Najah, M., & Azni Syafena Andin, S. (2009). The Factors Influencing Students. Performance at Universiti Teknologi MARA Kedah, Malaysia. Canadian Research & Development Center of Sciences and Cultures: Vol.3 No.4.Search in Google Scholar

45. 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), 401-426.10.2307/3250989Search in Google Scholar

46. Richardson, W. (2010). Blogs, wikis, podcasts, and other powerful web tools for classrooms. Corwin Press.Search in Google Scholar

47. Robinson, A., & Udall, M. (2006). Using formative assessment to improve student learning through critical reflection. In C. Bryan & K. Clegg (Eds.), Innovative assessment in higher education (pp. 92-99). New York: Routledge.Search in Google Scholar

48. Santally, M., & Senteni, A. (2013). Effectiveness of Personalised Learning Paths on Students Learning Experiences in an e-Learning Environment. European Journal of Open, Distance and eLearning, 2013(I). Retrieved from http://www.eurodl.org/materials/contrib/2013/Santally_Senteni.pdfSearch in Google Scholar

49. Simonson, M., Smaldino, S., Albright, M., & Zvacek, S. (2009). Teaching and Learning at a Distance: Foundations of distance education (4^th ed.). Columbus, OH: Prentice-Hall.Search in Google Scholar

50. Sluijsmans, D., Dochy, F., & Moerkerke, G. (1999). Creating a Learning Environment by Using Self-, Peer- and Co-Assessment. Learning Environments Research, 1, 293-319.10.1023/A:1009932704458Search in Google Scholar

51. Sugihara, K., Osada, T., Nakata, S., Funaoi, H., & Hirashima, T. (2012). Experimental evaluation of kit-build concept map for science classes in an elementary school. Proceedings of Computers in Education 2012, Singapore: National Institute of Education, 17-24Search in Google Scholar

52. Tempelaar, D. T., Heck, A., Cuypers, H., van der Kooij, H., & van de Vrie, E. (2013). Formative Assessment and Learning Analytics. In D. Suthers & K. Verbert (Eds.), Proceedings of the 3^rd International Conference on Learning Analytics and Knowledge (pp. 205-209). New York: ACM. http://dx.doi.org/10.1145/2460296.246033710.1145/2460296.2460337Open DOISearch in Google Scholar

53. Toplis, R., & Allen, M. (2012). I do and I understand? Practical work and laboratory use in United Kingdom schools. Eurasia Journal of Mathematics, Science & Technology Education, 8(1), 3-9.10.12973/eurasia.2012.812aSearch in Google Scholar

54. Vonderwell, S., & Zachariah, S. (2005). Factors that influence participation in online learning, Journal of Research on Technology in Education, 38(2), 213-230.10.1080/15391523.2005.10782457Search in Google Scholar

55. Vrasidas, C., & McIsaac, M. (1999). Factors influencing interaction in an online course. The American Journal of Distance Education, 13(3), 22-36.10.1080/08923649909527033Search in Google Scholar

56. de Wever, B., van Keer, H., Schellens, T., & Valcke, M. (2009). Structuring asynchronous discussion groups: the impact of role assignment and self-assessment on students’ levels of knowledge construction through social negotiation. Journal of Computer Assisted Learning, 25(2), 177-188.10.1111/j.1365-2729.2008.00292.xSearch in Google Scholar

57. Wolff, A., Zdrahal, Z., Nikolov, A., & Pantucek, M. (2013). Improving retention: Predicting at-risk students by analysing clicking behaviour in a virtual learning environment. Paper presented at the 3^rd International Conference on Learning analytics and Knowledge.10.1145/2460296.2460324Search in Google Scholar

58. Yoshida, K., Sugihara, K., Nino, Y., Shida, M., & Hirashima, T. (2013). Practical Use of Kit-Build Concept Map System for Formative Assessment of Learners’ Comprehension in a Lecture. Proceedings of Computers in Education 2013, Bali, Indonesia: Asia-Pacific Society for Computers in Education, 906-915.Search in Google Scholar