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EURASIA Journal of Mathematics, Science and Technology Education
Volume 13, Issue 6 (June 2017), pp. 2039-2056

DOI: 10.12973/eurasia.2017.01212a

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Research Article

Published online on May 09, 2017

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Web-Searching to Learn: The Role of Internet Self-Efficacy in Pre-School Educators’ Conceptions and Approaches

Chia-Pin Kao & Hui-Min Chien


This study was conducted to explore the relationships between pre-school educators’ conceptions of and approaches to learning by web-searching through Internet Self-efficacy. Based on data from 242 pre-school educators who had prior experience of participating in web-searching in Taiwan for path analyses, it was found in this study that conceptions of learning by web-searching play a major role in approaches to learning without Internet Self-efficacy (ISE). The results indicated that preschool educators’ Internet self-efficacy was the significant moderator of their conceptions of and approaches to learning by web searching. Thus, this result suggests that improving preschool educators’ ability to use the Internet as well as their use of relevant web-based tools may increase their approaches to learning by web-searching, which may in turn strengthen their learning performances in Internet-based environments.

Keywords: Internet self-efficacy, conceptions of learning, approaches to learning, web-based learning

  1. Aesaert, K., & van Braak, J. (2014). Exploring factors related to primary school pupils’ ICT self-efficacy: A multilevel approach. Computers in Human Behavior, 41, 327-341.
  2. Almeida, P. A., Teixeira-Dias, J. J., Martinho, M., &Balasooriya, C. D. (2011). The interplay between students' perceptions of context and approaches to learning. Research Papers in Education, 26(2), 149-169
  3. Andreassen, R., & Bråten, I. (2013). Teachers' source evaluation self‐efficacy predicts their use of relevant source features when evaluating the trustworthiness of web sources on special education. British Journal of Educational Technology, 44(5), 821-836.
  4. Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996). Multifaceted impact of self-efficacy beliefs on academic functioning. Child Development, 67(3), 1206-1222.
  5. Biggs, J. (1994). Approaches to learning: Nature and measurement of. The international encyclopedia of education, 1, 319-322.
  6. Blackwell, C. K., Lauricella, A. R., Wartella, E., Robb, M., & Schomburg, R. (2013). Adoption and use of technology in early education: The interplay of extrinsic barriers and teacher attitudes. Computers & Education, 69, 310-319.
  7. Browne, M. W, & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 445-455). Newbury Park, CA: Sage
  8. Chan, C. K., & Chan, Y. Y. (2011). Students' views of collaboration and online participation in Knowledge Forum. Computers & Education, 57(1), 1445-1457.
  9. Chang, C. S., Liu, E. Z. F., Sung, H. Y., Lin, C. H., Chen, N. S., & Cheng, S. S. (2014). Effects of online college student’s Internet self-efficacy on learning motivation and performance. Innovations in education and teaching international, 51(4), 366-377.
  10. Chiu, Y. L., & Tsai, C. C. (2014). The roles of social factor and internet self-efficacy in nurses' web-based continuing learning. Nurse education today, 34(3), 446-450.
  11. Chuang, S. C., Lin, F. M., & Tsai, C. C. (2015). An exploration of the relationship between Internet self-efficacy and sources of Internet self-efficacy among Taiwanese university students. Computers in Human Behavior, 48, 147-155.
  12. Dong, Y., Liang, J. C., Yu, Y. Y., Wu, J. C., & Tsai, C. C. (2015). The relationships between Chinese higher education students' epistemic beliefs and their judgmental standards of searching for literature online: undergraduate versus graduate comparisons. Interactive Learning Environments, 23(2), 250-266.
  13. Ellis, R. A., Goodyear, P., Brillant, M., & Prosser, M. (2008). Student experiences of problem-based learning in pharmacy: conceptions of learning, approaches to learning and the integration of face-to-face and on-line activities. Advances in Health Sciences Education, 13, 675-692.
  14. Ellis, R. A., Goodyear, P., Calvo, R. A., & Prosser, M. (2008). Engineering students’ conceptions of and approaches to learning through discussions in face-to-face and online contexts. Learning and Instruction, 18, 267-282.
  15. Ellis, R. A., Steed, A., & Applebee, A. (2006). Teacher conceptions of blended learning, blended teaching and associations with approaches to design. Australasian Journal of Educational Technology, 22(3), 312-335.
  16. Faqih, K. M. (2013). Exploring the influence of perceived risk and internet self-efficacy on consumer online shopping intentions: Perspective of technology acceptance model. International Management Review, 9(1), 67.
  17. Feng, J., Shih, M., Kao, C.-P., & Tsai, C.-C. (2011). University Students’ Learning Conceptions and Approaches of Web-Searching bases on the Disciplinary Differences. Paper presented at ED-MEDIA 2011--World Conference on Educational Multimedia, Hypermedia & Telecommunications. Lisbon, Portugal.
  18. Fu, J. S. (2013). ICT in education: A critical literature review and its implications. International Journal of Education and Development using Information and Communication Technology, 9(1), 112.
  19. Gialamas, V., & Nikolopoulou, K. (2010). In-service and pre-service early childhood teachers’ views and intentions about ICT use in early childhood settings: A comparative study. Computers & Education, 55(2), 333-341.
  20. Gibbings, P., Lidstone, J., & Bruce, C. (2015). Students' experience of problem-based learning in virtual space. Higher Education Research & Development, 34(1), 74-88.
  21. Gonzalez, C. (2012). The relationship between approaches to teaching, approaches to e-teaching and perceptions of the teaching situation in relation to e-learning among higher education teachers. Instructional Science, 40(6), 975-998.
  22. Greenhow, C., Robelia, B., & Hughes, J. E. (2009). Learning, teaching, and scholarship in a digital age Web 2.0 and classroom research: What path should we take now? Educational researcher, 38(4), 246-259.
  23. Hamre, B. K., Pianta, R. C., Mashburn, A. J., & Downer, J. T. (2012). Promoting young children's social competence through the preschool paths curriculum and my teaching partner professional development resources. Early Education and Development, 23(6), 809-832.
  24. Ho, H. N. J., & Liang, J. C. (2015). The Relationships Among Scientific Epistemic Beliefs, Conceptions of Learning Science, and Motivation of Learning Science: A study of Taiwan high school students. International Journal of Science Education, 37(16), 2688-2707.
  25. Kao, C.-P., Tsai, C.-C., & Shih, M. (2014). Development of a survey to measure self-efficacy and attitudes toward web-based professional development among elementary school teachers. Educational Technology & Society, 17(4), 302-315.
  26. Kao, C.-P., Wu, Y.-T., & Tsai, C.-C. (2011. Elementary school teachers’ motivation toward web-based professional development, and the relationship with Internet self-efficacy and belief about web-based learning. Teaching and Teacher Education, 27(2), 406-415.
  27. Kelloway, E. K. (1998). Using LlSREL for structural equation modeling: A researcher’s guide. Thousand Oaks, CA: Sage.
  28. Kim, Y., Glassman, M., Bartholomew, M., & Hur, E. H. (2013). Creating an educational context for Open Source Intelligence: The development of Internet self-efficacy through a blog centric course. Computers & Education, 69, 332-342.
  29. Kuo, Y. C., Walker, A. E., Schroder, K. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35-50.
  30. Lee, M. H., Johanson, R. E., & Tsai, C. C. (2008). Exploring Taiwanese high school students’ conceptions of and approaches to learning science through a structural equation modeling analysis. Science Education, 92(2), 191-220.
  31. Lee, S. W. Y. (2013). Investigating students' learning approaches, perceptions of online discussions, and students' online and academic performance. Computers & Education, 68, 345-352.
  32. Leung, C. H., Wong, B. K. M., & Wong, J. (2013). Conceptions of learning in pre-service and in-service early childhood education students and the impact of teaching experience. Australasian Journal of Early Childhood, 38(3), 57.
  33. Liang, J. C., & Wu, S. H. (2010). Nurses' motivations for Web-based learning and the role of Internet self-efficacy. Innovations in Education and Teaching International, 47(1), 25-37.
  34. Lin, C. L., Tsai, C. C., & Liang, J. C. (2012). An investigation of two profiles within conceptions of learning science: An examination of confirmatory factor analysis. European Journal of Psychology of Education, 27(4), 499-521.
  35. Lin, H. M., & Tsai, C. C. (2013). The development of the Conceptions of Learning Management inventory. Studies in Higher Education, 38(5), 741-757.
  36. López-Íñiguez, G., & Pozo, J. I. (2014). Like teacher, like student? Conceptions of children from traditional and constructive teachers regarding the teaching and learning of string instruments. Cognition and Instruction, 32(3), 219-252.
  37. Marton, F., & Säljö, R. (1976). On qualitative differences in learning: I—Outcome and process. British journal of educational psychology, 46(1), 4-11.
  38. Martyn, J., Terwijn, R., Kek, M. Y., & Huijser, H. (2014). Exploring the relationships between teaching, approaches to learning and critical thinking in a problem-based learning foundation nursing course. Nurse education today, 34(5), 829-835.
  39. McKenney, S., &Voogt, J. (2012). Teacher design of technology for emergent literacy: An explorative feasibility study. Australasian Journal of Early Childhood, 37(1), 4-12.
  40. Nikolopoulou, K., &Gialamas, V. (2015). Barriers to the integration of computers in early childhood settings: Teachers’ perceptions. Education and Information Technologies, 20(2), 285-301.
  41. Pellas, N. (2014) . The influence of computer self-efficacy, metacognitive self-regulation and self-esteem on student engagement in online learning programs: Evidence from the virtual world of Second Life. Computers in Human Behavior, 35, 157-170.
  42. Penuel, W. R., Bates, L., Gallagher, L. P., Pasnik, S., Llorente, C., Townsend, E., &VanderBorght, M. (2012). Supplementing literacy instruction with a media-rich intervention: Results of a randomized controlled trial. Early Childhood Research Quarterly, 27(1), 115-127.
  43. Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring pre-service teachers' beliefs about using Web 2.0 technologies in K-12 classroom. Computers & Education, 59(3), 937-945.
  44. Säljö, R. (1979). Learning about learning. Higher education, 8(4), 443-451.
  45. Sinapuelas, M. L., & Stacy, A. M. (2015). The relationship between student success in introductory university chemistry and approaches to learning outside of the classroom. Journal of Research in Science Teaching, 52(6), 790-815.
  46. Sobel, M. E. (1982). Asymptotic intervals for indirect effects in structural equations models. In S. Leinhart (Ed.), Sociological methodology 1982 (pp.290-312). San Francisco: Jossey-Bass.
  47. Sun, Z., & Jiang, Y. (2015). How the young generation uses digital textbooks via mobile learning terminals: Measurement of elementary school students in China. British Journal of Educational Technology, 46(5), 961-964.
  48. Thorpe, K., Hansen, J., Danby, S., Zaki, F. M., Grant, S., Houen, S., & Given, L. M. (2015). Digital access to knowledge in the preschool classroom: Reports from Australia. Early Childhood Research Quarterly, 32, 174-182.
  49. Trigwell, K., Ashwin, P., & Millan, E. S. (2013). Evoked prior learning experience and approach to learning as predictors of academic achievement. British Journal of Educational Psychology, 83(3), 363-378.
  50. Tsai, C.-C. (2004). Conceptions of learning science among high school students in Taiwan: A phenomenographic analysis. International Journal of Science Education, 26, 1733-1750.
  51. Tsai, C.-C. (2009). Conceptions of learning versus conceptions of web-based learning: The differences revealed by college students. Computers & Education, 53(4), 1092-1103.
  52. Wang, C.-H., Shannon, D.M., & Ross, M.E. (2013). Students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302-323.
  53. Wang, Y. L., Tsai, C. C., & Wei, S. H. (2015). The Sources of Science Teaching Self-efficacy among Elementary School Teachers: A mediational model approach. International Journal of Science Education, 37(14), 2264-2283.
  54. Yost, H., & Fan, S. (2014). Social media technologies for collaboration and communication: Perceptions of childcare professionals and families. Australasian Journal of Early Childhood, 39(2), 36-41.
  55. Zhao, L., Lu, Y. B., Wang, B., & Huang, W. N. (2011). What makes them happy and curious online? An empirical study on high school students' Internet use from a self-determination theory perspective. Computers & Education, 56(2), 346-356.