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Applying online externally-facilitated regulated learning and computational thinking to improve students’ learning

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Abstract

This study aims to explore, via quasi-experiments, the effects of online externally-facilitated regulated learning (ERL) and computational thinking (CT) on improving students’ computing skills in a blended learning environment. Four classes in a one-semester course entitled ‘Applied Information Technology: Data Processing’ were the samples for this research. The first class (C1, ERL&CT group) simultaneously received the interventions regarding online ERL and CT, the second class (C2, CT group) received the intervention regarding online CT, and the third class (C3, ERL group) received the intervention regarding online CT, while the last group (C4, control group) received a traditional teaching method, although teaching was also conducted in a blended computing class. Students in ERL&CT group and CT group came from the Department of Finance, while the ERL group and control group came from the Department of Law at a comprehensive university. According to the posttest analysis, the results indicate that students who received the intervention of online ERL had statistically better development of computing skills for using Excel by semester-end than those without. In addition, this study also reveals that the application of online CT alone could be helpful in students’ development of computing skills. Furthermore, the results indicate that students’ computing skills could be improved under the condition of simultaneously applying ERL and CT. Based on the findings of this study, the authors present implications for online teachers and educators, particularly for those teaching computing courses.

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References

  1. Andreassen, R., Bråten, I.: Teachers’ source evaluation self-efficacy predicts their use of relevant source features when evaluating the trustworthiness of web sources on special education. Br. J. Educ. Technol. 44(5), 821–836 (2013)

    Article  Google Scholar 

  2. Akinoglu, O.: Internet and Internet use: teacher trainees’ perspective. J. Instr. Psychol. 36(2), 97–103 (2009)

    Google Scholar 

  3. Azevedo, R., Cromley, J.G.: Does training on self-regulated learning facilitate students’ learning with hypermedia? J. Educ. Psychol. 96(3), 523–535 (2004)

    Article  Google Scholar 

  4. Azevedo, R., Cromley, J.G., Winters, F.I., Moos, D.C., Greene, J.A.: Adaptive human scaffolding facilitates adolescents’ self-regulated learning. Instr. Sci. 33(5–6), 381–412 (2005)

    Article  Google Scholar 

  5. Azevedo, R., Jacobson, M.: Advances in scaffolding learning with hypertext and hypermedia: a summary and critical analysis. Educ. Technol. Res. Dev. 56(1), 93–100 (2008)

    Article  Google Scholar 

  6. Azevedo, R., Moos, D.C., Greene, J.A., Winters, F.I., Cromley, J.G.: Why is externally-facilitated regulated learning more effective than self-regulated learning with hypermedia? Educ. Technol. Res. Dev. 56(1), 45–72 (2008)

    Article  Google Scholar 

  7. Bältera, O., Enströma, E., Klingenbergc, B.: The effect of short formative diagnostic web quizzes with minimal feedback. Comput. Educ. 60(1), 234–242 (2013)

    Article  Google Scholar 

  8. Barr, V., Stephenson, C.: Bringing computational thinking to K–12: What is involved and what is the role of the computer science education community? ACM Inroads 2(1), 48–54 (2011). doi:10.1145/1929887.1929905

    Article  Google Scholar 

  9. Bers, M.U., Flannery, L., Kazakoff, E.R., Sullivan, A.: Computational thinking and tinkering: exploration of an early childhood robotics curriculum. Comput. Educ. 72, 145–157 (2014)

    Article  Google Scholar 

  10. Brusilovsky, P.: Adaptive hypermedia. User Model. User Adapt. Interact. 6(2–3), 87–110 (2001)

    Article  Google Scholar 

  11. Brusilovsky, P.: Adaptive navigation support in educational hypermedia: the role of student knowledge level and the case for meta-adaptation. Br. J. Educ. Technol. 34(4), 487–497 (2004)

    Article  Google Scholar 

  12. Caspersen, M.E., Nowack, P.: Computational thinking and practice: a generic approach to computing in Danish high schools. In: Proceedings of the Fifteenth Australasian Computing Education Conference, vol. 136, pp. 137–143. Australian Computer Society, Inc. (2013)

  13. Celik, V., Yesilyurt, E.: Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education. Comput. Educ. 60(1), 148–158 (2013)

    Article  Google Scholar 

  14. Cha, S.E., Jun, S.J., Kwon, D.Y., Kim, H.S., Kim, S.B., Kim, J.M., Kim, Y.A., Han, S.G., Seo, S.S., Jun, W.C., Kim, H.C.: Measuring achievement of ICT competency for students in Korea. Comput. Educ. 56(4), 990–1002 (2011)

    Article  Google Scholar 

  15. Chen, K.C., Jang, S.J.: Motivation in online learning: testing a model of self-determination theory. Comput. Hum. Behav. 26(4), 741–752 (2010)

    Article  Google Scholar 

  16. Chen, K.C., Jang, S.J., Branch, R.M.: Autonomy, affiliation, and ability: relative salience of factors that influence online learner motivation and learning outcomes. Knowl. Manag. E-Learn. Int. J. 2(1), 30–50 (2010)

    Google Scholar 

  17. Chi, M.T.H.: Constructing self-explanations and scaffolded explanations in tutoring. Appl. Cogn. Psychol. 10, S33–S49 (1996)

    Article  Google Scholar 

  18. Chiu, Y.L., Liang, J.C., Tsai, C.C.: Internet-specific epistemic beliefs and self-regulated learning in online academic information searching. Metacogn. Learn. 8(3), 235–260 (2013)

    Article  Google Scholar 

  19. Computing Curricula: Computing Curricula 2001 (2001). Retrieved from http://www.acm.org/education/education/curric_vols/cc2001.pdf?searchterm=Computing+Curriculum+2001

  20. Computer Science Curriculum: Computer Science Curriculum 2008: an interim revision of CS 2001 (2008). Retrieved from http://www.acm.org//education/curricula/ComputerScience2008.pdf

  21. Curzon, P., Dorling, M., Ng, T., Selby, C., Woollard, J.: Developing computational thinking in the classroom: a framework (2014). Retrieved from http://eprints.soton.ac.uk/369594/

  22. Fulton, L., Ivanitskaya, L.V., Bastian, N., Erofeev, D.A., Mendez, F.: Frequent deadlines: evaluating the effect of learner control on healthcare executives’ performance in online learning. Learn. Instr. 23, 24–32 (2013)

    Article  Google Scholar 

  23. Gašević, D., Adesope, O., Joksimović, S., Kovanović, V.: Externally-facilitated regulation scaffolding and role assignment to develop cognitive presence in asynchronous online discussions. Internet High. Educ. 24, 53–65 (2015)

    Article  Google Scholar 

  24. Graesser, A.C., Person, N.K., Magliano, J.P.: Collaborative dialogue patterns in naturalistic one-to-one tutoring. Appl. Cogn. Psychol. 9(6), 495–522 (1995)

    Article  Google Scholar 

  25. Grover, S., Pea, R.: Computational thinking in K–12: a review of the state of the field. Educ. Res. 42(1), 38–43 (2013)

    Article  Google Scholar 

  26. Ifenthaler, D.: Determining the effectiveness of prompts for self-regulated learning in problem-solving scenarios. Educ. Technol. Soc. 15(1), 38–52 (2012)

    Google Scholar 

  27. International Society for Technology in Education, Computer Science Teachers Association: Operational definition of computational thinking for K–12 education (2011). Retrieved from http://www.iste.org/docs/ct-documents/computational-thinking-operational-definitionflyer.pdf

  28. Israel, M., Pearson, J.N., Tapia, T., Wherfel, Q.M., Reese, G.: Supporting all learners in school-wide computational thinking: a cross-case qualitative analysis. Comput. Educ. 82, 263–279 (2015)

    Article  Google Scholar 

  29. Jacobson, M.J.: From non-adaptive to adaptive educational hypermedia: theory, research, and design issues. In: Magoulas, G., Chen, S. (eds.) Advances in Web-Based Education: Personalized Learning Environments, pp. 302–330. Idea Group, Hershey (2006)

    Chapter  Google Scholar 

  30. Järvelä, S., Hurme, T., Järvenoja, H.: Self-regulation and motivation in computer-supported collaborative learning environments. In: Ludvigson, S., Lund, A., Rasmussen, I., Säljö, R. (eds.) Learning Across Sites: New Tools, Infrastructure and Practices. Routledge, New York (2011)

    Google Scholar 

  31. Judson, E.: Improving technology literacy: does it open doors to traditional content. Educ. Technol. Res. Dev. 58(3), 271–284 (2010)

    Article  Google Scholar 

  32. Kabilan, M.K., Khan, M.A.: Assessing pre-service English language teachers’ learning using e-portfolios: benefits, challenges and competencies gained. Comput. Educ. 58(4), 1007–1020 (2012)

    Article  Google Scholar 

  33. Kafai, Y.B., Burke, Q.: Connected Code: Why Children Need to Learn Programming. MIT Press, Cambridge (2014)

    Google Scholar 

  34. Kauffman, D.F.: Self-regulated learning in web-based environments: instructional tools designed to facilitate cognitive strategy use, metacognitive processing, and motivational beliefs. J. Educ. Comput. Res. 30(1 & 2), 139–161 (2004)

    Article  Google Scholar 

  35. Kauffman, D.F., Zhao, R., Yang, Y.S.: Effects of online note taking formats and self-monitoring prompts on learning from online text: using technology to enhance self-regulated learning. Contemp. Educ. Psychol. 36(4), 313–322 (2011). doi:10.1016/j.cedpsych.2011.04.001

    Article  Google Scholar 

  36. Kirschner, P.A., Strijbos, J.W., Kreijns, K., Beers, P.: Designing electronic collaborative learning environments. Educ. Technol. Res. Dev. 52(3), 47–66 (2004)

    Article  Google Scholar 

  37. Korkmaz, Ö., Çakir, R., Özden, M.Y.: A validity and reliability study of the computational thinking scales (CTS). Comput. Hum. Behav. 72, 558–569 (2017)

    Article  Google Scholar 

  38. Krämer, B.J., Neugebauer, J., Magenheim, J., Huppertz, H.: New ways of learning: comparing the effectiveness of interactive online media in distance education with the European textbook tradition. Br. J. Educ. Technol. 46(5), 965–971 (2015)

    Article  Google Scholar 

  39. Lambropoulos, N., Faulkner, X., Culwin, F.: Supporting social awareness in collaborative e-learning. Br. J. Educ. Technol. 43(2), 295–306 (2012)

    Article  Google Scholar 

  40. Lakhal, S., Khechine, H., Pascot, D.: Student behavioural intentions to use desktop video conferencing in a distance course: integration of autonomy to the UTAUT model. J. Comput. High. Educ. 25(2), 93–121 (2013)

    Article  Google Scholar 

  41. Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., Erickson, J., Malyn-Smith, J., Werner, L.: Computational thinking for youth in practice. ACM Inroads 2(1), 32–37 (2011)

    Article  Google Scholar 

  42. Lee, T.H., Shen, P.D., Tsai, C.W.: Applying web-enabled problem-based learning and self-regulated learning to add value to computing education in Taiwan’s vocational schools. Educ. Technol. Soc. 11(3), 13–25 (2008)

    Google Scholar 

  43. Lee, T.S., Shen, P.D., Tsai, C.W.: Enhancing computing skills of low-achieving students via e-learning: a design experiment of web-based, problem-based learning and self-regulated learning. Cyberpsychol. Behav. 11(4), 431–436 (2008)

    Article  Google Scholar 

  44. Lee, S.W.Y., Tsai, C.C.: Students’ perceptions of collaboration, self-regulated learning, and information seeking in the context of Internet-based learning and traditional learning. Comput. Hum. Behav. 27(2), 905–914 (2011)

    Article  Google Scholar 

  45. Lin, L.M.G., Ward, C.L.: The integration of Web2Quest technology into multicultural curriculum in teacher education: a potential for globalization. Int. J. Online Pedag. Course Des. 1(2), 46–59 (2011)

    Article  Google Scholar 

  46. Liu, M., Horton, L., Olmanson, J., Toprac, P.: A study of learning and motivation in a new media enriched environment for middle school science. Educ. Technol. Res. Dev. 59(2), 249–265 (2011)

    Article  Google Scholar 

  47. Martens, R., Gulikers, J., Bastiaens, T.: The impact of intrinsic motivation on e-learning in authentic computer tasks. J. Comput. Assist. Learn. 20(5), 368–376 (2004)

    Article  Google Scholar 

  48. Mwaura, B., Mahendran, B., Hynes, N., Defreitas, D., Avalos, G., Adegbola, T., Adham, M., Connolly, C.E., Sultan, S.: The impact of differential expression of extracellular matrix metalloproteinase inducer, matrix metalloproteinase-2, tissue inhibitor of matrix metalloproteinase-2 and PDGF-AA on the chronicity of venous leg ulcers. Eur. J. Vasc. Endovasc. Surg. 31(3), 306–310 (2006)

    Article  Google Scholar 

  49. National Research Council: Taking Science to School: Learning and Teaching Science in Grades K–8. National Academy Press, Washington (2008)

    Google Scholar 

  50. National Research Council: Committee for the Workshops on Computational Thinking: Report of a Workshop on the Scope and Nature of Computational Thinking. National Academies Press, Washington (2010)

    Google Scholar 

  51. National Research Council: Committee for the Workshops on Computational Thinking: Report of a Workshop of Pedagogical Aspects of Computational Thinking. National Academies Press, Washington (2011)

    Google Scholar 

  52. Qualls, J.A., Sherrell, L.B.: Why computational thinking should be integrated into the curriculum. J. Comput. Sci. Coll. 25(5), 66–71 (2010)

    Google Scholar 

  53. Quinn, B.J.: Computational thinking guiding change in online education. J. Med. Biomed. Appl. Sci. 3(12), 8–17 (2016)

    Google Scholar 

  54. Rienties, B., Tempelaar, D.T., Giesbers, B., Segers, M., Gijselaers, W.H.: A dynamic analysis of why learners develop a preference for autonomous learners in CMC. Interact. Learn. Environ. (2013). Retrieved from http://www.tandfonline.com/doi/abs/10.1080/10494820.2012.707127#.UoNoYPnI05Y

  55. Rienties, B., Tempelaar, D.T., Van den Bossche, P., Gijselaers, W.H., Segers, M.: The role of academic motivation in computer-supported collaborative learning. Comput. Hum. Behav. 25(6), 1195–1206 (2009)

    Article  Google Scholar 

  56. Royal Society: Shut down or restart: the way forward for computing in UK schools (2012). Retrieved from http://royalsociety.org/education/policy/computing-in-schools/report/

  57. Schworm, S., Gruber, H.: e-Learning in universities: supporting help-seeking processes by instructional prompts. Br. J. Educ. Technol. 43(2), 272–281 (2012)

    Article  Google Scholar 

  58. Sengupta, P., Kinnebrew, J.S., Basu, S., Biswas, G., Clark, D.: Integrating computational thinking with K–12 science education using agent-based computation: a theoretical framework. Educ. Inf. Technol. 18(2), 351–380 (2013)

    Article  Google Scholar 

  59. Shen, P.D., Lee, T.H., Tsai, C.W., Ting, C.J.: Exploring the effects of web-enabled problem-based learning and self-regulated learning on vocational students’ involvement in learning. Eur. J. Open Distance E-Learn. 2008(1) (2008). Retrieved from http://www.eurodl.org/materials/contrib/2008/Shen_Lee_Tsai_Ting.htm

  60. Shute, V., Psotka, J.: Intelligent tutoring system: past, present, and future. In: Jonassen, D. (ed.) Handbook of Research for Educational Communications and Technology, pp. 570–600. Macmillan, New York (1996)

    Google Scholar 

  61. Stein, D.S., Wanstreet, C.E., Slagle, P., Trinko, L.A., Lutz, M.: From ‘hello’ to higher-order thinking: the effect of coaching and feedback on online chats. Internet High. Educ. 16, 78–84 (2013)

    Article  Google Scholar 

  62. Stricker, D., Weibel, D., Wissmath, B.: Efficient learning using a virtual learning environment in a university class. Comput. Educ. 56(2), 495–504 (2011)

    Article  Google Scholar 

  63. Strømsø, H.I., Bråten, I.: The role of personal epistemology in the self-regulation of internet-based learning. Metacogn. Learn. 5(1), 91–111 (2010)

    Article  Google Scholar 

  64. Tsai, C.W.: Do students need teacher’s initiation in online collaborative learning? Comput. Educ. 54(4), 1137–1144 (2010)

    Article  Google Scholar 

  65. Tsai, C.W.: An effective online teaching method: the combination of collaborative learning with initiation and self-regulation learning with feedback. Behav. Inf. Technol. 32(7), 712–723 (2013)

    Article  Google Scholar 

  66. Tsai, C.W.: A quasi-experimental study of a blended course integrated with refined web-mediated pedagogy of collaborative learning and self-regulated learning. Interact. Learn. Environ. 22(6), 737–751 (2014)

    Article  Google Scholar 

  67. Tsai, C.W.: Investigating the effects of web-mediated design thinking and co-regulated learning on developing students’ computing skills in a blended course. Univ. Access Inf. Soc. 14(2), 295–305 (2015)

    Article  Google Scholar 

  68. Tsai, C.W., Lee, T.H., Shen, P.D.: Developing long-term computing skills among low-achieving students via web-enabled problem-based learning and self-regulated learning. Innov. Educ. Teach. Int. 50(2), 121–132 (2013)

    Article  Google Scholar 

  69. Tsai, C.W., Shen, P.D.: Applying web-enabled self-regulated learning and problem-based learning with initiation to involve low-achieving students in learning. Comput. Hum. Behav. 25(6), 1189–1194 (2009)

    Article  Google Scholar 

  70. Tsai, C.W., Shen, P.D.: The application of web and educational technologies in supporting web-enabled self-regulated learning in different computing course orientations. Int. J. Inf. Commun. Technol. Educ. 7(1), 70–79 (2011)

    Article  Google Scholar 

  71. Tsai, C.W., Shen, P.D.: Improving students’ computing skills and attitudes toward learning via web-mediated self-regulated learning with feedback in an online problem-solving environment. Int. J. E-Adopt. 3(2), 37–53 (2011)

    Article  Google Scholar 

  72. Tsai, C.W., Shen, P.D., Fan, Y.T.: Research trends in self-regulated learning research in online learning environments: a review of studies published in selected journals from 2003 to 2012. Br. J. Educ. Technol. 44(5), E107–E110 (2013)

    Article  Google Scholar 

  73. Tsai, C.W., Shen, P.D., Tsai, M.C.: Developing an appropriate design of blended learning with web-enabled self-regulated learning to enhance students’ learning and thoughts regarding online learning. Behav. Inf. Technol. 30(2), 261–271 (2011)

    Article  Google Scholar 

  74. Unger, K.L., Tracey, M.W.: Examining the factors of a technology professional development intervention. J. Comput. High. Educ. 25(3), 123–146 (2013)

    Article  Google Scholar 

  75. Watson, J.: A National Primer on K–12 Online Learning. North American Council on Online Learning, Washington (2007). Retrieved from http://connectionsacademy.com/Libraries/pdfs/200704_NACOL_OnlineLearningPrimer.sflb.ashx

  76. Wing, J.M.: Computational thinking. Commun. ACM 49(3), 33–35 (2006)

    Article  Google Scholar 

  77. Wing, J.M.: Research notebook: computational thinking-what and why? (2011). Retrieved from http://link.cs.cmu.edu/article.php?a=600

  78. Witherspoon, A.M., Azevedo, R., D’Mello, S.: The dynamics of self-regulatory processes within self-and externally regulated learning episodes during complex science learning with hypermedia. Lect. Notes Comput. Sci. 5091, 260–269 (2008)

    Article  Google Scholar 

  79. Witherspoon, A.M., Azevedo, R., Lewis, G.: Adolescents’ use of multiple representations of information in self-regulated and externally-regulated learning with hypermedia. In: Love, B., McRae, K., Sloutsky, V. (eds.) Proceedings of the 30th Annual Conference of the Cognitive Science Society, pp. 2359–2364. Cognitive Science Society, Austin (2008)

    Google Scholar 

  80. Yeh, K.C., Xie, Y., Ke, F.F.: Teaching computational thinking to non-computing majors using spreadsheet functions. In: The 41st ASEE/IEEE Frontiers in Education Conference (2011). Retrieved from http://fie-conference.org/fie2011/papers/1455.pdf

  81. Zimmerman, B.J., Bonner, S., Kovach, R.: Developing Self-Regulated Learners: Beyond Achievement to Self-Efficacy. American Psychological Association, Washington (1996)

    Book  Google Scholar 

  82. Zimmerman, B., Schunk, D.: Self-Regulated Learning and Academic Achievement, 2nd edn. Erlbaum, Mawah (2001)

    Google Scholar 

  83. Zimmerman, B., Tsikalas, K.: Can computer-based learning environments (CBLEs) be used as self-regulatory tools to enhance learning? Educ. Psychol. 40(4), 267–271 (2005)

    Article  Google Scholar 

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  1. Department of Sport and Health Management, Da-Yeh University, No. 168, University Rd., Dacun, 51591, Changhua, Taiwan, ROC

    Meng-Chuan Tsai

  2. Department of Information Management, Ming Chuan University, 250 Zhong-Shan N. Road Sec. 5, Taipei, Taiwan, ROC

    Chia-Wen Tsai

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Tsai, MC., Tsai, CW. Applying online externally-facilitated regulated learning and computational thinking to improve students’ learning. Univ Access Inf Soc 17, 811–820 (2018). https://doi.org/10.1007/s10209-017-0542-z

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