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Students’ Use Intention and Behavior Toward Knowledge Forum: A Survey Study from the Perspective of Diffusion of Innovation Theory

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Technology in Education: Pedagogical Innovations (ICTE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1048))

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Abstract

Numerous studies have been conducted on knowledge forum (KF), however, the majority of these studies are on the application of KF. Few studies investigated the factors that affect the wide use of knowledge forum from the perspective of Diffusion of Innovation Theory (DIT). The aim of this study is to investigate students’ use intention and behavior on knowledge forum using DIT and extended Technology Acceptance Model (TAM). An online survey was administered to a sample of 150 students who had been using the knowledge forum. Exploratory factor analysis using Amos was utilized to examine the fitness and the construct validity of the research model. Structural equation modeling (SEM) was adopted to examine whether the factor loadings for the 8 elements were significant and whether the estimates for each of them were in a reasonable range. The research findings have implications for the development, management, and spread of KF in practice.

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References

  • Van Aalst, J., Chan, C.K.K., Taylor, P., Van Aalst, J., Chan, C.K.K.: Student-directed assessment of knowledge building using electronic portfolios. JSTOR 16(2), 175–220 (2017)

    Google Scholar 

  • Barrett, P.: Structural equation modelling: adjudging model fit. Personality Individ. Differ. 42(5), 815–824 (2007)

    Article  MathSciNet  Google Scholar 

  • Bereiter, C., Scardamalia, M.: Learning to work creatively with knowledge. In: De Corte, E., Verschaffel, L., Entwistle, N., van Merriënboer, J. (eds.) Powerful Learning Environments: Unravelling Basic Components and Dimensions. Pergamon/Elsevier Science Ltd., Oxford (2003)

    Google Scholar 

  • Bereiter, C., Scardamalia, M.: Knowledge building and knowledge creation: one concept, two hills to climb. In: Tan, S.C., So, H.J., Yeo, J. (eds.) Knowledge Creation in Education, pp. 35–52. Springer, Singapore (2014). https://doi.org/10.1007/978-981-287-047-6_3

    Chapter  Google Scholar 

  • Camarero, C., Rodríguez, J., San José, R.: An exploratory study of online forums as a collaborative learning tool. Online Inf. Rev. 36(4), 568–585 (2012). https://doi.org/10.1108/14684521211254077

    Article  Google Scholar 

  • Cheng, G.: Exploring factors influencing the acceptance of visual programming environment among boys and girls in primary schools. Comput. Hum. Behav. 92, 361–372 (2019). https://doi.org/10.1016/j.chb.2018.11.043

  • Chin, W.W.: The partial least squares approach to structural equation modeling. In: Marcoulides, G.A. (ed.) Modern Methods for Business Research, pp. 295–336. Erlbaum, Mahwah (1998)

    Google Scholar 

  • Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  • Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)

    Article  Google Scholar 

  • Deng, X., Doll, W.J., Hendrickson, A.R., Scazzero, J.A.: A multi-group analysis of structural invariance: an illustration using the technology acceptance model. Inf. Manag. 42, 745–759 (2005). https://doi.org/10.1016/j.im.2004.08.001

    Article  Google Scholar 

  • DeVellis, R.F.: Scale Development: Theory and Applications, 4th edn. Sage Publications, Thousand Oaks (2016)

    Google Scholar 

  • Elyazgi, M.G., Nilashi, M., Ibrahim, O., Rayhan, A., Elyazgi, S.: Evaluating the factors influencing E-book technology acceptance among school children using TOPSIS technique. J. Soft Comput. Decis. Support Syst. 3(2), 11–25 (2016)

    Google Scholar 

  • Fishbein, M., Ajzen, I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)

    Google Scholar 

  • Helitzer, D., Heath, D., Maltrud, K., Sullivan, E., Alverson, D.: Assessing or predicting adoption of telehealth using the diffusion of innovations theory: a practical example from a rural program in New Mexico. Telemed. J. E-Health 9(2), 179–187 (2003). https://doi.org/10.1089/153056203766437516

    Article  Google Scholar 

  • Hong, H.Y., Scardamalia, M., Messina, R., Teo, C.L.: Fostering sustained idea improvement with principle-based knowledge building analytic tools. Comput. Educ. 89, 91–102 (2015). https://doi.org/10.1016/j.compedu.2015.08.012

    Article  Google Scholar 

  • Hu, L., Bentler, P.M.: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. Multi. J. 6(1), 1–55 (1999). https://doi.org/10.1080/10705519909540118

    Article  Google Scholar 

  • Kenny, D.A.: Measuring model fit (2014). http://www.davidakenny.net/cm/fit.htm

  • Lee, E.Y.C., Chan, C.K.K., Van Aalst, J.: Students assessing their own collaborative knowledge building. Int. J. Comput. Support. Collaborative Learn. 1(1), 57–87 (2006). https://doi.org/10.1007/s11412-006-6844-4

    Article  Google Scholar 

  • Moore, G.C., Benbasat, I.: Integrating Diffusion of Innovations and Theory of Reasoned Action models to predict utilization of information technology by end-users. In: Kautz, K., Pries-Heje, J. (eds.) Diffusion and Adoption of Information Technology, 1st edn., pp. 132–146. Chapman and Hall, London (1996)

    Chapter  Google Scholar 

  • Mustonen-Ollila, E., Lyytinen, K.: Why organizations adopt information system process innovations: a longitudinal study using diffusion of innovation theory. Inform. Syst. J. 13(3), 275–297 (2003). https://doi.org/10.1046/j.1365-2575.2003.00141.x

    Article  Google Scholar 

  • Norton, J.A., Bass, F.M.: A diffusion theory model of adoption and substitution for successive generations of high-technology products. Manage. Sci. 33(9), 1069–1086 (1987)

    Article  Google Scholar 

  • Piaget, J.: The Origins of Intelligence in Children. International Universities Press, New York (1952)

    Book  Google Scholar 

  • Piaget, J.: The Construction of Reality in the Child. Routledge and Kegan Paul, London (1957)

    Google Scholar 

  • Rogers, E.M.: Diffusion of Innovations, 5th edn. Free Press, New York (2003)

    Google Scholar 

  • Scardamalia, M.: Collective cognitive responsibility for the advancement of knowledge. In: Smith, B. (ed.) Liberal Education in a Knowledge Society, pp. 76–98. Open Court, Chicago (2002)

    Google Scholar 

  • Scardamalia, M.: CSILE/knowledge forum. In: Kovalchick, A., Dawson, K. (eds.) Education and Technology: An Encyclopedia, pp. 183–192. ABC-Clio Inc., Santa Barbara (2003)

    Google Scholar 

  • Scardamalia, M., Bereiter, C.: Higher levels of agency for children in knowledge building: a challenge for the design of new knowledge media. J. Learn. Sci. 1(1), 37–68 (1991)

    Article  Google Scholar 

  • Scardamalia, M., Bereiter, C.: Knowledge building environments: extending the limits of the possible in education and knowledge work. Encycl. Distrib. Learn. 17(Suppl. 3, Learning Technology Innovation in Canada), 1–10 (2003). http://doi.org/10.1371/journal.pone.0004959

  • Scardamalia, M., Bereiter, C.: Knowledge building: theory, pedagogy, and technology. In: Sawyer, R.K. (ed.) Cambridge Handbook of the Learning Sciences, 1st edn., pp. 97–118. Cambridge University Press, New York. http://doi.org/10.1080/09658219308258228

  • Scardamalia, M., Bereiter, C., McLean, R.S., Swallow, J., Woodruff, E.: Computer-supported intentional learning environments. J. Educ. Comput. Res. 5(1), 51–68 (1989)

    Article  Google Scholar 

  • Shroff, R.H., Deneen, C.C., Ng, E.M.W.: Analysis of the technology acceptance model in examining students’ behavioural intention to use an e- portfolio system. Australas. J. Educ. Technol. 27(4), 600–618 (2011)

    Article  Google Scholar 

  • Sivo, S.A.: Understanding how university student perceptions of resources affect technology acceptance in online learning courses. Australas. J. Educ. Technol. 34(4), 72–92 (2018)

    Google Scholar 

  • Tan, S.C., Seah, L.H.: Exploring relationship between students’ questioning behaviors and inquiry tasks in an online forum through analysis of ideational function of questions. Comput. Educ. 57(2), 1675–1685 (2011). https://doi.org/10.1016/j.compedu.2011.03.007

    Article  Google Scholar 

  • Venkatesh, V., Davis, F.D.: A model of the antecedents of perceived ease of use: development and test. Decis. Sci. 27(3), 451–481 (1996). https://doi.org/10.1111/j.1540-5915.1996.tb01822.x

    Article  Google Scholar 

  • Yang, S., Kwok, D.: A study of students’ attitudes towards using ICT in a social constructivist environment. Australas. J. Educ. Technol. 33(5), 50–63 (2017)

    Google Scholar 

  • Zacharis, N.Z.: Predicting college students’ acceptance of podcasting as a learning tool. Interact. Technol. Smart Educ. 9(3), 171–183 (2012). https://doi.org/10.1108/17415651211258281

    Article  Google Scholar 

  • Zhang, J., Scardamalia, M., Reeve, R., Messina, R.: Designs for collective cognitive responsibility in knowledge-building communities. J. Learn. Sci. 18(1), 7–44 (2009). https://doi.org/10.1080/10508400802581676

    Article  Google Scholar 

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Correspondence to Shuhong Gong .

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Fan, Y., Gong, S. (2019). Students’ Use Intention and Behavior Toward Knowledge Forum: A Survey Study from the Perspective of Diffusion of Innovation Theory. In: Cheung, S., Jiao, J., Lee, LK., Zhang, X., Li, K., Zhan, Z. (eds) Technology in Education: Pedagogical Innovations. ICTE 2019. Communications in Computer and Information Science, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-13-9895-7_19

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  • DOI: https://doi.org/10.1007/978-981-13-9895-7_19

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