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Developing a Learning Network on YouTube: Analysis of Student Satisfaction with a Learner-Generated Content Activity

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Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

This chapter focuses on an innovative learning project in which undergraduate marketing students create videos and post them on the official YouTube channel of the course. The project aims to apply new information technologies to university teaching, use social networks to disseminate information and knowledge, and provide students with a more active role in their learning process. We offer an overall vision to enable the appropriate application of this project and analyze students’ perceptions and satisfaction with the activity; we also offer a tool (e.g., rubric) to objectively evaluate the video content. The results of the first study show that students’ satisfaction with the activity is high and is affected by the emotions it generates, its perceived usefulness, and its ease of use. In a second study, we observe that the students are satisfied with the activity’s evaluation rubric, because it is a simple evaluation system and serves to guarantee an objective and consistent evaluation. The description of the project and discussion of the research findings will help academics to understand the key drivers of a satisfactory experience by students. It also provides scholars with advice on how to implement educational networking in their subjects.

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Notes

  1. 1.

    http://rubistar.4teachers.org

Abbreviations

AVE:

Average variance extracted

EHEA:

European Higher Education Area

ICT:

Information and communications technologies

PLS:

Partial least squares

TAM:

Technology acceptance model

References

  • Alon, I., & Herath, R. K. (2014). Teaching international business via social media projects. Journal of Teaching in International Business, 25(1), 44–59.

    Article  Google Scholar 

  • Andrade, H. (2000). Using rubrics to promote thinking and learning. Educational Leadership, 57(5), 13–18.

    Google Scholar 

  • Azevedo, A., Apfelthaler, G., & Hurst, D. (2012). Competency development in business graduates: An industry-driven approach for examining the alignment of undergraduate business education with industry requirements. The International Journal of Management Education, 10(1), 12–28.

    Article  Google Scholar 

  • Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644–656.

    Article  Google Scholar 

  • Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254.

    Article  Google Scholar 

  • Bagozzi, R. P., Belanche, D., Casaló, L. V., & Flavián, C. (2016). The role of anticipated emotions in purchase intentions. Psychology & Marketing, 33(8), 629–645.

    Article  Google Scholar 

  • Beauchamp, G., & Kennewell, S. (2010). Interactivity in the classroom and its impact on learning. Computers & Education, 54(3), 759–766.

    Article  Google Scholar 

  • Belanche, D., Casaló, L. V., & Flavián, C. (2010). Providing online public services successfully: The role of confirmation of citizens’ expectations. International Review on Public and Nonprofit Marketing, 7(2), 167–184.

    Article  Google Scholar 

  • Belanche, D., Casaló, L. V., & Flavián, C. (2012). Integrating trust and personal values into the Technology Acceptance Model: The case of e-government services adoption. Cuadernos de Economía y Dirección de la Empresa, 15(4), 192–204.

    Article  Google Scholar 

  • Belanche, D., Casaló, L. V., & Guinalíu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing and Consumer Services, 19(1), 124–132.

    Article  Google Scholar 

  • Bennett, S., Bishop, A., Dalgarno, B., Waycott, J., & Kennedy, G. (2012). Implementing Web 2.0 technologies in higher education: A collective case study. Computers & Education, 59(2), 524–534.

    Article  Google Scholar 

  • Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.

    Article  Google Scholar 

  • Blasco-Arcas, L., Buil, I., Hernández-Ortega, B., & Sese, F. J. (2013). Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance. Computers & Education, 62, 102–110.

    Article  Google Scholar 

  • Bonwell, C., & Eison, J. A. (1991). Active learning: Creating excitement in the classroom. Green Mountain Falls, CO: Eric Publications.

    Google Scholar 

  • British Columbia Ministry of Education. (2013). Defining cross-curricular competencies. Transforming curriculum and assessment. Ministry of Education. Technical Report, British Columbia Ministry of Education.

    Google Scholar 

  • Cano, E. (2008). La Evaluación por competencias en la Educación Superior. Profesorado: Revista de Currículum y Formación del Profesorado, 12(3), 11–27.

    Google Scholar 

  • Casaló, L. V., Flavián, C., & Guinalíu, M. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26(6), 399–417.

    Article  Google Scholar 

  • Chan, Y. M. (2010). Video instructions as support for beyond classroom learning. Procedia-Social and Behavioral Sciences, 9, 1313–1318.

    Article  Google Scholar 

  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.

    Google Scholar 

  • Chua, Y. P., & Chua, Y. P. (2017). How are e-leadership practices in implementing a school virtual learning environment enhanced? A grounded model study. Computers & Education, 109, 109–121.

    Article  Google Scholar 

  • Clifton, A., & Mann, C. (2011). Can YouTube enhance student nurse learning? Nurse Education Today, 31(4), 311–313.

    Article  Google Scholar 

  • Cole, M. (2009). Using Wiki technology to support student engagement: Lessons from the trenches. Computers & Education, 52(1), 141–146.

    Article  Google Scholar 

  • Cooper, P. (2019, January 22). YouTube stats that matter to marketers in 2019 [Online exclusive]. Hootsuite. Retrieved from: https://blog.hootsuite.com/youtube-stats-marketers/

  • Davcik, N. S. (2014). The use and misuse of structural equation modeling in management research: A review and critique. Journal of Advances in Management Research, 11(1), 47–81.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • DeWitt, D., Alias, N., Siraj, S., Yaakub, M. Y., Ayob, J., & Ishak, R. (2013). The potential of Youtube for teaching and learning in the performing arts. Procedia-Social and Behavioral Sciences, 103, 1118–1126.

    Article  Google Scholar 

  • Dogtiev, A. (2019, January 7). YouTube revenue and usage statistics [Online exclusive]. Business of Apps. Retrieved from: http://www.businessofapps.com/data/youtube-statistics/

  • Domínguez Fernández, G., & Llorente Cejudo, M. D. C. (2009). La educación social y la web 2.0: Nuevos espacios de innovación e interacción social en el espacio europeo de educación superior. Pixel-Bit. Revista de Medios y Educación, 35, 105–114.

    Google Scholar 

  • Duncan, I., Yarwood-Ross, L., & Haigh, C. (2013). YouTube as a source of clinical skills education. Nurse Education Today, 33(12), 1576–1580.

    Article  Google Scholar 

  • Dündar, H., & Akçayir, M. (2014). Implementing tablet PCs in schools: Students’ attitudes and opinions. Computers in Human Behavior, 32, 40–46.

    Google Scholar 

  • Dupuis, J., Coutu, J., & Laneuville, O. (2013). Application of linear mixed-effect models for the analysis of exam scores: Online video associated with higher scores for undergraduate students with lower grades. Computers & Education, 66, 64–73.

    Article  Google Scholar 

  • Eurico, S. T., da Silva, J. A. M., & do Valle, P. O. (2015). A model of graduates’ satisfaction and loyalty in tourism higher education: The role of employability. Journal of Hospitality, Leisure, Sport & Tourism Education, 16, 30–42.

    Article  Google Scholar 

  • Everson, M., Gundlach, E., & Miller, J. (2013). Social media and the introductory statistics course. Computers in Human Behavior, 29(5), 69–81.

    Article  Google Scholar 

  • Ferrer, F., Belvís, E., & Pàmies, J. (2011). Tablet PCs, academic results and educational inequalities. Computers & Education, 56(1), 280–288.

    Article  Google Scholar 

  • Fiorella, L., & Mayer, R. E. (2013). The relative benefits of learning by teaching and teaching expectancy. Contemporary Educational Psychology, 38(4), 281–288.

    Article  Google Scholar 

  • Fiorella, L., & Mayer, R. E. (2014). Role of expectations and explanations in learning by teaching. Contemporary Educational Psychology, 39(2), 75–85.

    Article  Google Scholar 

  • Fiorella, L., & Mayer, R. E. (2016). Eight ways to promote generative learning. Educational Psychology Review, 28(4), 717–741.

    Article  Google Scholar 

  • Forbes, H., Oprescu, F. I., Downer, T., Phillips, N. M., McTier, L., Lord, B., et al. (2016). Use of videos to support teaching and learning of clinical skills in nursing education: A review. Nurse Education Today, 42, 53–56.

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  • Fralinger, B., & Owens, R. (2009). YouTube as a learning tool. Journal of College Teaching & Learning, 6(8), 15–28.

    Google Scholar 

  • Gao, H., Hu, J., Wilson, C., Li, Z., Chen, Y., & Zhao, B. Y. (2010). Detecting and characterizing social spam campaigns. In Proceedings of the 10th ACM SIGCOMM conference on Internet measurement (pp. 35–47). New York: ACM.

    Google Scholar 

  • Gupta, S. (2014). Choosing Web 2.0 tools for instruction: An extension of task-technology fit. International Journal of Information and Communication Technology Education, 10(2), 25–35.

    Article  Google Scholar 

  • Gutiérrez Martín, A., & Tyner, K. (2012). Educación Para Los Medios, Alfabetización Mediática y Competencia Digital. Comunicar, 19(38), 31–39.

    Article  Google Scholar 

  • Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), New challenges to international marketing (pp. 277–319). Bingley: Emerald Group Publishing Limited.

    Chapter  Google Scholar 

  • Hofacker, C. F., & Belanche, D. (2016). Eight social media challenges for marketing managers. Spanish Journal of Marketing-ESIC, 20(2), 73–80.

    Article  Google Scholar 

  • Hoogerheide, V., Deijkers, L., Loyens, S. M., Heijltjes, A., & van Gog, T. (2016). Gaining from explaining: Learning improves from explaining to fictitious others on video, not from writing to them. Contemporary Educational Psychology, 44, 95–106.

    Article  Google Scholar 

  • Ifenthaler, D., & Schweinbenz, V. (2013). The acceptance of Tablet-PCs in classroom instruction: The teachers’ perspectives. Computers in Human Behavior, 29(3), 525–534.

    Article  Google Scholar 

  • Jenkins, J. J., & Dillon, P. J. (2013). Learning through YouTube. In S. P. Ferris & H. A. Wilder (Eds.), The plugged-in professor (pp. 81–89). Oxford: Chandos Publishing.

    Chapter  Google Scholar 

  • Johnson, D. W., Johnson, R. T., & Smith, K. A. (1998). Active learning: Cooperation in the college classroom. Edina, MN: Interaction Book Company.

    Google Scholar 

  • Jonsson, A. (2014). Rubrics as a way of providing transparency in assessment. Assessment & Evaluation in Higher Education, 39(7), 840–852.

    Article  Google Scholar 

  • Kay, R. H. (2012). Exploring the use of video podcasts in education: A comprehensive review of the literature. Computers in Human Behavior, 28(3), 820–831.

    Article  Google Scholar 

  • Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205–223.

    Article  Google Scholar 

  • Krauskopf, K., Zahn, C., & Hesse, F. W. (2012). Leveraging the affordances of Youtube: The role of pedagogical knowledge and mental models of technology functions for lesson planning with technology. Computers & Education, 58(4), 1194–1206.

    Article  Google Scholar 

  • Lee, C. S., Osop, H., Goh, D. H. L., & Kelni, G. (2017). Making sense of comments on YouTube educational videos: A self-directed learning perspective. Online Information Review, 41(5), 611–625.

    Article  Google Scholar 

  • Lee, M. J., & McLoughlin, C. (2007). Teaching and learning in the Web 2.0 era: Empowering students through learner-generated content. International Journal of Instructional Technology and Distance Learning, 4(10), 21–34.

    Google Scholar 

  • Levina, N., & Arriaga, M. (2014). Distinction and status production on user-generated content platforms: Using Bourdieu’s theory of cultural production to understand social dynamics in online fields. Information Systems Research, 25(3), 468–488.

    Article  Google Scholar 

  • Lewis, S., Pea, R., & Rosen, J. (2010). Beyond participation to co-creation of meaning: Mobile social media in generative learning communities. Social Science Information, 49(3), 351–369.

    Article  Google Scholar 

  • Liao, Y. W., Huang, Y. M., Chen, H. C., & Huang, S. H. (2015). Exploring the antecedents of collaborative learning performance over social networking sites in a ubiquitous learning context. Computers in Human Behavior, 43, 313–323.

    Article  Google Scholar 

  • Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990). Distinguishing coupon proneness from value consciousness: An acquisition-transaction utility theory perspective. Journal of Marketing, 54(3), 54–67.

    Article  Google Scholar 

  • Mayer, R. E. (2001). Multimedia learning. Cambridge: University Press.

    Book  Google Scholar 

  • Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014). Effectiveness of virtual reality-based instruction on students’ learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70, 29–40.

    Article  Google Scholar 

  • Michael, J. (2006). Where’s the evidence that active learning works? Advances in Physiology Education, 30(4), 159–167.

    Article  Google Scholar 

  • Momeni, E., Cardie, C., & Diakopoulos, N. (2016). A survey on assessment and ranking methodologies for user-generated content on the web. ACM Computing Surveys (CSUR), 48(3), 41.54.

    Google Scholar 

  • Mon, F. M. E., & Cervera, M. G. (2011). El nuevo paradigma de aprendizaje y las nuevas tecnologías. REDU: Revista de Docencia Universitaria, 9(3), 55–73.

    Article  Google Scholar 

  • Okita, S. Y., Turkay, S., Kim, M., & Murai, Y. (2013). Learning by teaching with virtual peers and the effects of technological design choices on learning. Computers & Education, 63, 176–196.

    Article  Google Scholar 

  • Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20(3), 418–430.

    Article  Google Scholar 

  • Orús, C., Barlés, M. J., Belanche, D., Casaló, L., Fraj, E., & Gurrea, R. (2016). The effects of learner-generated videos for YouTube on learning outcomes and satisfaction. Computers & Education, 95, 254–269.

    Article  Google Scholar 

  • Panadero, E., Jonsson, A., & Botella, J. (2017). Effects of self-assessment on self-regulated learning and self-efficacy: Four meta-analyses. Educational Research Review, 22, 74–98.

    Article  Google Scholar 

  • Pârvu, I., Ipate, D. M., & Mitran, P. C. (2014). Identification of employability skills-starting point for the curriculum design process. Economics, Management and Financial Markets, 9(1), 237–246.

    Google Scholar 

  • Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91–105.

    Article  Google Scholar 

  • Pereira, J., Echeazarra, L., Sanz-Santamaría, S., & Gutiérrez, J. (2014). Student-generated online videos to develop cross-curricular and curricular competencies in Nursing Studies. Computers in Human Behavior, 31, 580–590.

    Article  Google Scholar 

  • Pérez-Mateo, M., Maina, M. F., Guitert, M., & Romero, M. (2011). Learner generated content: Quality criteria in online collaborative learning. European Journal of Open, Distance and E-Learning, 14(2), 1–12.

    Google Scholar 

  • Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223–231.

    Article  Google Scholar 

  • Real, J. C., Leal, A., & Roldán, J. L. (2006). Information technology as a determinant of organizational learning and technological distinctive competencies. Industrial Marketing Management, 35(4), 505–521.

    Article  Google Scholar 

  • Reddy, M. Y. (2007). Rubrics and the enhancement of student learning. Educate, 7(1), 3–17.

    Google Scholar 

  • Ringle, C. M. (2018). SmartPLS 2.0 (M3). Retrieved from: http://www.smartpls.de

  • Rodriguez, J. E. (2011). Social media use in higher education: Key areas to consider for educators. Journal of Online Learning and Teaching, 7, 539–550.

    Google Scholar 

  • Roldán, J. L., & Sánchez-Franco, M. J. (2012). Variance-based structural equation modeling: Guidelines for using partial least squares in information systems research. In M. Mora, O. Gelman, A. L. Steenkamp, & M. Raisinghani (Eds.), Research methodologies, innovations and philosophies in software systems engineering and information systems (pp. 193–221). Hershey, PA: Information Science Reference.

    Chapter  Google Scholar 

  • Ryan, B. M. (2017). A review of protocols in higher education; How my experience made me question the process. Higher Education Studies, 7(4), 71–73.

    Article  Google Scholar 

  • Schmid, R. F., Bernard, R. M., Borokhovski, E., Tamim, R. M., Abrami, P. C., Surkes, M. A., et al. (2014). The effects of technology use in postsecondary education: A meta-analysis of classroom applications. Computers & Education, 72, 271–291.

    Article  Google Scholar 

  • Schulze, C., Schöler, L., & Skiera, B. (2014). Not all fun and games: Viral marketing for utilitarian products. Journal of Marketing, 78(1), 1–19.

    Article  Google Scholar 

  • Severt, D. E. (2002). The customer’s path to loyalty: A partial test of the relationships of prior experience, justice, and customer satisfaction (Doctoral dissertation, Virginia Tech).

    Google Scholar 

  • Shekhar, P., Prince, M., Finelli, C., Demonbrun, M., & Waters, C. (2019). Integrating quantitative and qualitative research methods to examine student resistance to active learning. European Journal of Engineering Education, 44(1–2), 6–18.

    Article  Google Scholar 

  • Sherer, P., & Shea, T. (2011). Using online video to support student learning and engagement. College Teaching, 59(2), 56–59.

    Article  Google Scholar 

  • Spisak, K. (2019, January 2). Social media trends & statistics [Online exclusive]. Business to Community. Retrieved from: https://www.business2community.com/social-media/2019–social-media-trends-statistics-02156179

  • Stanley, D., & Zhang, Y. (2018). Student-produced videos can enhance engagement and learning in the online environment. Online Learning, 22(2), 5–26.

    Article  Google Scholar 

  • Steenkamp, J. B., & Geyskens, I. (2006). How country characteristics affect the perceived value of a website. Journal of Marketing, 70(3), 136–150.

    Article  Google Scholar 

  • Stickney, L. T., Bento, R. F., Aggarwal, A., & Adlakha, V. (2019). Online higher education: Faculty satisfaction and its antecedents. Journal of Management Education, Early cite. https://doi.org/10.1177/1052562919845022

    Article  Google Scholar 

  • Stiggins, R. J. (2001). Student-involved classroom assessment. Upper Saddle River, NJ: Merrill Prentice Hall.

    Google Scholar 

  • Torres-Ramírez, M., García-Domingo, B., Aguilera, J., & De La Casa, J. (2014). Video-sharing educational tool applied to the teaching in renewable energy subjects. Computers & Education, 73, 160–177.

    Article  Google Scholar 

  • Tugrul, T. O. (2012). Student perceptions of an educational technology tool: Video recordings of project presentations. Procedia-Social and Behavioral Sciences, 64, 133–140.

    Article  Google Scholar 

  • van Diepen, N. M., Stefanova, E., & Miranowicz, M. (2009). Mastering skills using ICT: An active learning approach. In Research, reflections and innovations in integrating ICT in education (pp. 226–233). Badajoz, Spain: Formatex.

    Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Article  Google Scholar 

  • Whitaker, J. A., Orman, E. K., & Yarbrough, C. (2016). The effect of selected parameters on perceptions of a music education video posted on YouTube. In International perspectives on research in music education, 255–272.

    Google Scholar 

  • Wiertz, C., & de Ruyter, K. (2007). Beyond the call of duty: Why customers contribute to firm-hosted commercial online communities. Organization Studies, 28(3), 347–376.

    Article  Google Scholar 

  • Wright, G. B. (2011). Student-centered learning in higher education. International Journal of Teaching and Learning in Higher Education, 23(1), 92–97.

    Google Scholar 

  • Zahn, C., Schaeffeler, N., Giel, K. E., Wessel, D., Thiel, A., Zipfel, S., et al. (2014). Video clips for YouTube: Collaborative video creation as an educational concept for knowledge acquisition and attitude change related to obesity stigmatization. Education and Information Technologies, 19(3), 603–621.

    Article  Google Scholar 

  • Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341–352.

    Article  Google Scholar 

  • Zote, J. (2019, February 1). 65 social media statistics to bookmark in 2019 [Online exclusive]. Sprout Social. Retrieved from: https://sproutsocial.com/insights/social-media-statistics/

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Appendix: Items Used in the Questionnaires of Study 1

Appendix: Items Used in the Questionnaires of Study 1

Verse

Verse Usefulness of the activity (Koufaris, 2002) I think that carrying out the YouTube activity… … has been useful to me … has been advantageous to me … has been beneficial to me Ease of use of the activity (Koufaris, 2002) I think that carrying out the YouTube activity … … has been easy to do … has implied little effort to do … has been simple to do Interactivity (Blasco-Arcas et al., 2013) I think that carrying out the YouTube activity … … has facilitated interaction with my peers (classmates) … has given me the opportunity to discuss with my peers (classmates) … has facilitated dialogue with my peers (classmates) … has allowed me to exchange information with my peers (classmates) Learning outcomes (Orús et al., 2016) I think that carrying out the YouTube activity … … has improved my comprehension of the theoretical concepts of the course … has improved my learning of the course … has improved my knowledge of marketing … has improved my knowledge of marketing strategies carried out by companies … has had a positive impact on my final grade of the course … has helped me to improve my ability to work in group … has helped me to elaborate and present ideas publically … has improved my skills in video editing tools … has improved my skills in using new Information and Communication Technologies … has improved my ability to summarize … has improved my creativity skills Emotions derived from the activity (Bagozzi et al., 2016) Carrying out the YouTube activity has made me feel … … excited (enthusiastic) … delighted … happy … fulfilled … proud … good in general … embarrassed … worried … anxious (stressed) … uncomfortable … frustrated … bad in general Satisfaction with the activity (Orús et al., 2016) Carrying out this activity has been interesting. I think that the development this activity has been correct. I am satisfied with the development of the activity. In general terms, I am satisfied with this activity. Behavioral intentions (Belanche, Casaló & Flavián, 2010) If I had to carry out a similar activity voluntarily in the future, I would have the intention to do it. I think that I will recommend other students to carry out this activity. Note: For the sake of simplicity, we only provide the items for the final questionnaire regarding perceptions of usefulness, ease of use, interactivity, and subjective learning. The same items were used in the first questionnaire, at the beginning of the semester, to measure the students’ expectations toward the activity. Instead of using “I think that carrying out the YouTube activity has been… (present perfect tense),” we worded “I expect the YouTube activity to be… (present simple tense).”

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Belanche, D., Casaló, L.V., Orús, C., Pérez-Rueda, A. (2020). Developing a Learning Network on YouTube: Analysis of Student Satisfaction with a Learner-Generated Content Activity. In: Peña-Ayala, A. (eds) Educational Networking. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-29973-6_6

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