Research article Special Issues

The value co-creation behavior in learning communities: Comparing conventional learning and e-learning

  • Received: 31 May 2021 Accepted: 26 July 2021 Published: 26 August 2021
  • With the rapid development of ICT, the present world is experiencing rapid changes in the field of education. Implementation of e-learning and ICT in the education system could allow teachers to upgrade and improve their lectures. However, from the perspective of value co-creation behavior in learning communities, conventional learning and e-learning classrooms may encounter different opportunities and challenges. Thus, a more in-depth investigation would be needed. Based on the S-O-R framework, this study identifies self-directed learning as a stimulus, perceived benefits as the organism, and value co-creation behavior as the response. By applying the multi-criteria decision-making techniques of DEMATEL, ANP, and VIKOR, this study explores the causal effects, influential weights, and performance ranking of the primary constructs in the framework as criteria. This study's theoretical and practical implications are discussed, and ways of improving learning performance are suggested.

    Citation: Huan-Ming Chuang, Shahab S. Band, Mehdi Sookhak, Kenneth Pinandhito. The value co-creation behavior in learning communities: Comparing conventional learning and e-learning[J]. Mathematical Biosciences and Engineering, 2021, 18(6): 7239-7268. doi: 10.3934/mbe.2021358

    Related Papers:

  • With the rapid development of ICT, the present world is experiencing rapid changes in the field of education. Implementation of e-learning and ICT in the education system could allow teachers to upgrade and improve their lectures. However, from the perspective of value co-creation behavior in learning communities, conventional learning and e-learning classrooms may encounter different opportunities and challenges. Thus, a more in-depth investigation would be needed. Based on the S-O-R framework, this study identifies self-directed learning as a stimulus, perceived benefits as the organism, and value co-creation behavior as the response. By applying the multi-criteria decision-making techniques of DEMATEL, ANP, and VIKOR, this study explores the causal effects, influential weights, and performance ranking of the primary constructs in the framework as criteria. This study's theoretical and practical implications are discussed, and ways of improving learning performance are suggested.



    加载中


    [1] N. Ahmad, N. Quadri, M. Qureshi, M. Alam, Relationship modeling of critical success factors for enhancing sustainability and performance in e-learning, Sustainability, 10 (2018), 4776. doi: 10.3390/su10124776
    [2] V. Nikolic, D. Petkovic, N. Denic, M. Milovancevic, S. Gavrilovic, Appraisal and review of e-learning and ICT systems in teaching process, Phys. A., 513 (2019), 456-464. doi: 10.1016/j.physa.2018.09.003
    [3] A. Corbett, H. Trask, Instructional interventions in computer-based tutoring: differential impact on learning time and accuracy, in Conference on Human Factors in Computing Systems, (2000), 97-104.
    [4] S. Kala, S. A. Isaramalai, A. Pohthong, Electronic learning and constructivism: a model for nursing education, Nurse Educ. Today, 30 (2010), 61-66. doi: 10.1016/j.nedt.2009.06.002
    [5] A. Voutilainen, T. Saaranen, M. Sormunen, Conventional vs. e-learning in nursing education: A systematic review and meta-analysis, Nurse Educ. Today, 50 (2017), 97-103. doi: 10.1016/j.nedt.2016.12.020
    [6] T. Y. Lee, F. Y. Lin, The effectiveness of an e-learning program on pediatric medication safety for undergraduate students: a pretest-post-test intervention study, Nurse Educ. Today, 33 (2013), 378-383. doi: 10.1016/j.nedt.2013.01.023
    [7] R. V. D. Gonzalez, T. M. de Melo, The effects of organization context on knowledge exploration and exploitation, J. Bus Res., 90 (2018), 215-225.
    [8] H. Liu, D. Song, Z. Cai, Knowledge management capability and firm performance: the mediating role of organizational agility, in PACIS, (2014).
    [9] T. Gammill, M. Newman, Factors associated with faculty use of web-based instruction in higher education, J. Agric. Educ., 46 (2005), 60-71. doi: 10.5032/jae.2005.04060
    [10] A. Mehrabian, J. A. Russell, An approach to environmental psychology, in An approach to environmental psychology, The MIT Press, (1974), 266.
    [11] Y. H. Fang, Does online interactivity matter? exploring the role of interactivity strategies in consumer decision making, Comput. Human Behav., 28 (2012), 1790-1804. doi: 10.1016/j.chb.2012.04.019
    [12] P. Mohammadi, S. M. Araghi, The relationship between learners' self-directed learning readiness and their English for specific purposes course accomplishment at distance education in Iran, SiSAL J., 4 (2013), 73-84.
    [13] M. S. Knowles, Self-directed learning: a guide for learners and teachers, Group Organ Stud., 2 (1977), 256-257. doi: 10.1177/105960117700200220
    [14] A. S. Andersen, S. B. Heilesen, The problem-oriented project work (PPL) alternative in self-directed higher education, in Inquiry-based learning for multidisciplinary programs: A conceptual and practical resource for educators, Emerald Group Publishing Limited, (2015).
    [15] L. Song, E. S. Singleton, J. R. Hill, M. H. Koh, Improving online learning: Student perceptions of useful and challenging characteristics, Internet High Educ., 7 (2004), 59-70. doi: 10.1016/j.iheduc.2003.11.003
    [16] B. Lin, C. T. Hsieh, Web-based teaching and learner control: a research review, Comput Educ., 37 (2001), 377-386. doi: 10.1016/S0360-1315(01)00060-4
    [17] Y. C. Hsu, Y. M. Shiue, The effect of self-directed learning readiness on achievement comparing face to face and two way distance learning instruction, Int. J. Instr. Media, 32 (2005), 143.
    [18] M. L. Hung, C. Chou, C. H. Chen, Z. Y. Own, Learner readiness for online learning: Scale development and student perceptions, Comput Educ., 55 (2010), 1080-1090. doi: 10.1016/j.compedu.2010.05.004
    [19] A. Biemiller, D. Meichenbaum, The nature and nurture of the self-directed learner, in The Evolution of Cognitive Behavior Therapy, Taylor & Francis Group, (2017).
    [20] L. Lumsden, Student motivation: Cultivating a love of learning, in ERIC Clearinghouse on Educational Management, ERIC Publications, (1999).
    [21] R. Renchler, Student motivation, school culture, and academic achievement: What school leaders can do, in Trends and Issues, Eric Clearinghouse on Educational Management, (1992).
    [22] J. Hewitt Taylor, Self-directed learning: Views of teachers and students, J. Adv. Nurs., 36 (2001), 496-504.
    [23] S. Loyens, J. Magda, R. Rikers, Self-directed learning in problem-based learning and its relationships with self-regulated learning, Educ. Psychol. Rev., 20 (2008), 411-427. doi: 10.1007/s10648-008-9082-7
    [24] L. M. Guglielmino, Development of the self-directed learning readiness scale, University of Georgia, (1977).
    [25] S. D. Brookfield, The getting of wisdom: what critically reflective teaching is and why it's important., in Becoming a critically reflective teacher, Wiley, (1995).
    [26] J. D. Stiller, R. Ryan, Teachers, parents, and student motivation: the effects of involvement and autonomy support, in the Annual Meeting of the American Educational Research Association, (1992).
    [27] M. Gibbons, Challenging adolescent students to excel, in The Self-Directed Learning Handbook, Wiley, (2003).
    [28] A. Smedley, The self-directed learning readiness of beginning bachelor of nursing students, J. Res. Nurs., 12 (2007), 373-385. doi: 10.1177/1744987107077532
    [29] T. Teo, et al., The self-directed learning with technology scale (SDLTS) for young students: an initial development and validation, Comput. Educ., 55 (2010), 1764-1771.
    [30] E. U. Avdal, The effect of self-directed learning abilities of student nurses on success in Turkey, Nurse Educ. Today., 33 (2013), 838-841. doi: 10.1016/j.nedt.2012.02.006
    [31] S. F. Cheng, C. L. Kuo, K. C. Lin, J. Lee Hsieh, Development and preliminary testing of a self-rating instrument to measure self-directed learning ability of nursing students, Int. J. Nurs. Stud., 47 (2010), 1152-1158.
    [32] E. Deci, R. Ryan, Conceptualizations of intrinsic motivation and self-determination, in Intrinsic motivation and self-determination in human behavior, Springer, (1985), 11-40.
    [33] A. Fairchild, K. Barron, S. J. Finney, S. Horst, Evaluating new and existing validity evidence for the academic motivation scale, Contemp. Educ. Psychol., 30 (2005), 331-358. doi: 10.1016/j.cedpsych.2004.11.001
    [34] N. Annuar, R. Shaari, The antecedents toward self-directed learning among distance learner in Malaysian public universities, in Proceeding of the Global Summit on Education, (2014), 195-205.
    [35] W. E. Scott Jr, J. L. Farh, P. M Podsakoff, The effects of "intrinsic" and "extrinsic" reinforcement contingencies on task behavior, Organ. Behav. Hum. Decis. Process., 41 (1988), 405-425.
    [36] A. W. Wood, Groundwork for the metaphysics of morals, in Grounding for the Metaphysics of Morals, Yale University Press, (2002).
    [37] M. K. O. Lee, C. M. K. Cheung, Z. Chen, Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation, Inf. Manag., 42 (2005), 1095-1104. doi: 10.1016/j.im.2003.10.007
    [38] N. Entwistle, Motivation and approaches to learning: motivating and conceptions of teaching, in Motivating students, Routledge, (2019).
    [39] M. A. Maras, J. W. Splett, W. M. Reinke, M. Stormont, K. C. Herman, School practitioners' perspectives on planning, implementing, and evaluating evidence-based practices, Child Youth Serv. Rev., 47 (2014), 314-322.
    [40] R. Kim, L. Olfman, T. Ryan, E. Eryilmaz, Leveraging a personalized system to improve self-directed learning in online educational environments, Comput. Educ., 70 (2014), 150-160. doi: 10.1016/j.compedu.2013.08.006
    [41] A. Krause, A. North, B. Heritage, The uses and gratifications of using Facebook music listening applications, Comput. Human Behav., 39 (2014), 71-77. doi: 10.1016/j.chb.2014.07.001
    [42] I. Reychav, D. Wu, Exploring mobile tablet training for road safety: A uses and gratifications perspective, Comput. Educ., 71 (2014), 43-55. doi: 10.1016/j.compedu.2013.09.005
    [43] A. Y. K. Chua, D. H. L. Goh, C. S. Lee, Mobile content contribution and retrieval: An exploratory study using the uses and gratifications paradigm, Inf. Process. Manag., 48 (2012), 13-22. doi: 10.1016/j.ipm.2011.04.002
    [44] M. Grellhesl, N. Punyanunt Carter, Using the uses and gratifications theory to understand gratifications sought through text messaging practices of male and female undergraduate students, Comput. Human Behav., 28 (2012), 2175-2181.
    [45] H. Ko, C. H. Cho, M. S. Roberts, Internet uses and gratifications: a structural equation model of interactive advertising, J. Advert., 34 (2005), 57-70. doi: 10.1080/00913367.2005.10639191
    [46] T. E. Ruggiero, Uses and gratifications theory in the 21st century, Mass Commun. Soc., 3 (2000), 3-37. doi: 10.1207/S15327825MCS0301_02
    [47] J. G. Blumler, E. Katz, Current perspectives on gratifications research, in The Uses of Mass Communications, Sage Publications, (1974), 318
    [48] S. Nambisan, R. Baron, Virtual customer environments: testing a model of voluntary participation in value co-creation activities, J. Prod. Innov. Manage., 26 (2009), 388-406. doi: 10.1111/j.1540-5885.2009.00667.x
    [49] P. Palmgreen, Uses and gratifications: a theoretical perspective, Ann. Int. Commun. Assoc., 8 (1984), 20-55.
    [50] S. Veenman, N. van Benthum, D. Bootsma, J. van Dieren, N. van der Kemp, Cooperative learning and teacher education, Teach. Educ., 18 (2002), 87-103.
    [51] Y. Yi, T. Gong, The effects of customer justice perception and affect on customer citizenship behavior and customer dysfunctional behavior, Ind. Mark. Manag., 37 (2008), 767-783. doi: 10.1016/j.indmarman.2008.01.005
    [52] Y. Yi, T. Gong, Customer value co-creation behavior: scale development and validation, J. Bus Res., 66 (2013), 1279-1284. doi: 10.1016/j.jbusres.2012.02.026
    [53] Y. Yi, R. Nataraajan, T. Gong, Customer participation and citizenship behavioral influences on employee performance, satisfaction, commitment, and turnover intention, J. Bus Res., 64 (2011), 87-95.
    [54] J. D. Johnson, Cancer-related information seeking, in Health Commun., Hampton Press, (1997).
    [55] C. T. Ennew, M. R. Binks, Impact of participative service relationships on quality, satisfaction and retention: an exploratory study, J. Bus Res., 46 (1999), 121-132.
    [56] N. Koriat, R. Gelbard, Knowledge sharing motivation among IT personnel: integrated model and implications of employment contracts, Int. J. Inf. Manag., 34 (2014), 577-591. doi: 10.1016/j.ijinfomgt.2014.04.009
    [57] M. Groth, D. P Mertens, R. Murphy, Customers as good soldiers: examining citizenship behaviors in internet service deliveries, J. Manag., 31 (2005), 7-27.
    [58] M. S. Rosenbaum, C. A. Massiah, When customers receive support from other customers: exploring the influence of intercustomer social support on customer voluntary performance, J. Serv. Res., 9 (2007), 257-270. doi: 10.1177/1094670506295851
    [59] R. Algesheimer, U. M. Dholakia, A. Herrmann, The social influence of brand community: evidence from european car clubs, J. Mark., 69 (2005), 19-34. doi: 10.1509/jmkg.69.3.19.66363
    [60] W. W. Wu, Y. T. Lee, Developing global managers' competencies using the fuzzy DEMATEL method, Expert Syst. Appl., 32 (2007), 499-507. doi: 10.1016/j.eswa.2005.12.005
    [61] W. W. Wu, Choosing knowledge management strategies by using a combined ANP and DEMATEL approach, Expert Syst. Appl., 35 (2008), 828-835. doi: 10.1016/j.eswa.2007.07.025
    [62] T. L. Saaty, Decision making with the analytic hierarchy process, Int. J. Serv. Sci., 1 (2008), 83-98.
    [63] C. L. Chang, C. H. Hsu, Multi-criteria analysis via the VIKOR method for prioritizing land-use restraint strategies in the Tseng-Wen reservoir watershed, J. Environ. Manag., 90 (2009), 3226-3230. doi: 10.1016/j.jenvman.2009.04.020
    [64] S. Opricovic, G. H. Tzeng, Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS, Eur. J. Oper. Res., 156 (2004), 445-455. doi: 10.1016/S0377-2217(03)00020-1
    [65] A. L. Hyde, D. E. Conroy, A. L. Pincus, N. Ram, Unpacking the feel-good effect of free-time physical activity: between-and within-person associations with pleasant-activated feeling states, J. Sport Exerc. Psychol., 33 (2011), 884-902. doi: 10.1123/jsep.33.6.884
    [66] A. Strauss, J. Corbin, Techniques and procedures for developing grounded theory, in Basics of Qualitative Research, Sage publications, (1998).
    [67] N. Northcutt, D. McCoy, A systems method for qualitative research, in Interactive qualitative analysis, Sage Publications, (2004).
    [68] W. Y. Chiu, G. H. Tzeng, H. L. Li, A new hybrid MCDM model combining DANP with VIKOR to improve e-store business, Knowl-Based Syst., 37 (2013), 48-61. doi: 10.1016/j.knosys.2012.06.017
    [69] K. Y. Shen, M. R. Yan, G. H. Tzeng, Combining VIKOR-DANP model for glamor stock selection and stock performance improvement, Knowl-Based Syst., 58 (2014), 86-97. doi: 10.1016/j.knosys.2013.07.023
    [70] L. Cadorin, G. Bortoluzzi, A. Palese, The self-rating scale of self-directed learning (SRSSDL): a factor analysis of the Italian version, Nurse Educ. Today, 33 (2013), 1511-1516. doi: 10.1016/j.nedt.2013.04.010
    [71] D. Kim, M. Yoon, I. H. Jo, R. Maribe Branch, Learning analytics to support self-regulated learning in asynchronous online courses: a case study at a women's university in South Korea, Comput. Educ., 127 (2018), 233-251.
    [72] K. Li, MOOC learners' demographics, self-regulated learning strategy, perceived learning and satisfaction: a structural equation modeling approach, Comput. Educ., 132 (2019), 16-30.
    [73] N. Lung Guang, Decision-making determinants of students participating in MOOCs: merging the theory of planned behavior and self-regulated learning model, Comput. Educ., 134 (2019), 50-62.
    [74] L. Song, J. Hill, A conceptual model for understanding self-directed learning in online environments, J. Interact. Online Learn., 6 (2007), 27-42.
    [75] W. Chow, L. Sheung Chan, Social network, social trust and shared goals in organizational knowledge sharing, Inf. Manag., 45 (2008), 458-465.
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2818) PDF downloads(152) Cited by(1)

Article outline

Figures and Tables

Figures(5)  /  Tables(12)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog