Blended Learning Effectiveness and College Students’ Deep Learning Perceptions: The Community of Inquiry Perspective
DOI:
https://doi.org/10.19173/irrodl.v26i4.8309Keywords:
blended learning, learning effectivenes, deep learning perception, Col, higher education, Community of InquiryAbstract
Emerging technologies and innovative instructional methods have revolutionized education, making blended learning the new standard in the artificial intelligence era. However, poor integration of online and face-to-face learning has led to challenges such as superficial student engagement. This study developed a Community of Inquiry-based blended learning model and evaluated its effectiveness with 92 college students using a quasi-experimental approach. Over 16 weeks, the experimental group (n = 48) adopted the blended learning model, while the control group (n = 44) used traditional learning conditions. Learning effectiveness and deep learning perceptions were evaluated, revealing the blended learning group demonstrated superior learning effectiveness (d = 0.83) and reported higher deep learning perceptions (η2 = .05–.072) compared to the traditional learning group. These results provide valuable insights for educators aiming to design blended learning models that foster deep learning and improve overall learning effectiveness.
References
Almusaed, A., Almssad, A., Yitmen, I., & Homod, R. Z. (2023). Enhancing student engagement: Harnessing “AIED”’s power in hybrid education—A review analysis. Education Sciences, 13(7), Article 632. https://doi.org/10.3390/educsci13070632
Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148. https://doi.org/10.1080/01587919.2018.1553562
Annansingh, F. (2019). Mind the gap: Cognitive active learning in virtual learning environment perception of instructors and students. Education and Information Technologies, 24(6), 3669–3688. https://doi.org/10.1007/s10639-019-09949-5
Antonelli, D., Christopoulos, A., Laakso, M.-J., Dagienė, V., Juškevičienė, A., Masiulionytė-Dagienė, V., Mądziel, M., Stadnicka, D., & Stylios, C. (2023). A virtual reality laboratory for blended learning education: Design, implementation and evaluation. Education Sciences, 13(5), Article 528. https://doi.org/10.3390/educsci13050528
Armellini, A., Teixeira Antunes, V., & Howe, R. (2021). Student perspectives on learning experiences in a higher education active blended learning context. TechTrends, 65(4), 433–443. https://doi.org/10.1007/s11528-021-00593-w
Astiwardhani, W., & Sobandi, A. (2024). Transforming Educational Paradigms: How Micro Learning Shapes Student Understanding, Retention, and Motivation?. Journal of Education Action Research, 8(2), 300-309. https://doi.org/10.23887/jear.v8i2.77711
Ballouk, R., Mansour, V., Dalziel, B., McDonald, J., & Hegazi, I. (2022). Medical students’ self-regulation of learning in a blended learning environment: A systematic scoping review. Medical Education Online, 27(1), Article 2029336. https://doi.org/10.1080/10872981.2022.2029336
Belda-Medina, J. (2021). Enhancing multimodal interaction and communicative competence through task-based language teaching (TBLT) in synchronous computer-mediated communication (SCMC). Education Sciences, 11(11), Article 723. https://doi.org/10.3390/educsci11110723
Bizami, N. A., Tasir, Z., & Kew, S. N. (2023). Innovative pedagogical principles and technological tools capabilities for immersive blended learning: A systematic literature review. Education and Information Technologies, 28(2), 1373–1425. https://doi.org/10.1007/s10639-022-11243-w
Castro, R. (2019). Blended learning in higher education: Trends and capabilities. Education and Information Technologies, 24(4), 2523–2546. https://doi.org/10.1007/s10639-019-09886-3
Chen, R. H. (2022). Effects of deliberate practice on blended learning sustainability: A community of inquiry perspective. Sustainability, 14(3), Article 1785. https://doi.org/10.3390/su14031785
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. L. Erlbaum Associates.
Cohen, J. (1992). Quantitative methods in psychology: A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155
Darling-Hammond, L., & Oakes, J. (2021). Preparing teachers for deeper learning. Harvard Education Press.
Guo, P., Saab, N., Wu, L., & Admiraal, W. (2021). The Community of Inquiry perspective on students’ social presence, cognitive presence, and academic performance in online project‐based learning. Journal of Computer Assisted Learning, 37(5), 1479–1493. https://doi.org/10.1111/jcal.12586
Han, F. (2023). Relations between students’ study approaches perceptions of the learning environment, and academic achievement in flipped classroom learning: Evidence from self-reported and process data. Journal of Educational Computing Research, 61(6), 1252–1274. https://doi.org/10.1177/07356331231162823
He, J., Ma, T., & Zhang, Y. (2023). Design of blended learning mode and practice community using intelligent cloud teaching. Education and Information Technologies, 28(8), 10593–10615. https://doi.org/10.1007/s10639-023-11606-x
Hu, Y., & Hwang, G.-J. (2024). Promoting students’ higher order thinking in virtual museum contexts: A self-adapted mobile concept mapping-based problem posing approach. Education and Information Technologies, 29(3), 2741–2765. https://doi.org/10.1007/s10639-023-11930-2
Hye, J. K., Yi, P., & Hong, J. I. (2020). Students’ academic use of mobile technology and higher-order thinking skills: The role of active engagement. Education Sciences, 10(3), Article 47. https://doi.org/10.3390/educsci10030047
Islam, M. K., Sarker, M. F. H., & Islam, M.S. (2022). Promoting student-centered blended learning in higher education: A model. E-Learning and Digital Media, 19(1), 36–54. https://doi.org/10.1177/20427530211027721
Kerimbayev, N., Umirzakova, Z., Shadiev, R., & Jotsov, V. (2023). A student-centered approach using modern technologies in distance learning: A systematic review of the literature. Smart Learning Environments, 10(1), Article 61. https://doi.org/10.1186/s40561-023-00280-8
Krathwohl, D. R. (2002). A revision of Bloom’s taxonomy: An overview. Theory into Practice, 41(4), 212–218. https://www.jstor.org/stable/1477405
Kurniawan, S. (2021). The effect of blended learning of student teams achievement division (STAD) and jigsaw towards higher-order thinking skills. EDUTEC: Journal of Education and Technology, 5(1), 121–133. https://doi.org/10.29062/edu.v5i1.229
Li, X.-D., & Cao, H.-H. (2020). Research on VR-supported flipped classroom based on blended learning. A case study in “Learning English through news.” International Journal of Information and Education Technology, 10(2), 104–109. https://doi.org/10.18178/ijiet.2020.10.2.1347
Liu, W., Wang, J., Zhang, H., Yu, C., Liu, S., Zhang, C., Yu, J., Liu, Q., & Yang, B. (2021). Determining the effects of blended learning using the community of inquiry on nursing students’ learning gains in sudden patient deterioration module. Nursing Open, 8(6), 3635–3644. https://doi.org/10.1002/nop2.914
Liu, X., & Deris, F. D. (2022). CoI-based teaching practices to promote EFL learners’ online discussion in China’s blended learning context. Asian Journal of University Education, 18(2), 477–488. https://files.eric.ed.gov/fulltext/EJ1347554.pdf
Lozano-Lozano, M., Fernández-Lao, C., Cantarero-Villanueva, I., Noguerol, I., Álvarez-Salvago, F., Cruz-Fernández, M., Arroyo-Morales, M., & Galiano-Castillo, N. (2020). A blended learning system to improve motivation, mood state, and satisfaction in undergraduate students: Randomized controlled trial. Journal of Medical Internet Research, 22(5), Article e17101. https://doi.org/10.2196/17101
Masadeh, T. S. Y. (2021). Blended learning: Issues related to successful implementation. International Journal of Scientific Research and Management, 9(10), 1897–1907. https://doi.org/10.18535/ijsrm/v9i10.el02
Meng, Q., Jia, J., & Zhang, Z. (2020). A framework of smart pedagogy based on the facilitating of high order thinking skills. Interactive Technology and Smart Education, 17(3), 251–266. https://doi.org/10.1108/ITSE-11-2019-0076
Meyer, O., Coyle, D., Imhof, M., & Connolly, T. (2018). Beyond CLIL: Fostering student and teacher engagement for personal growth and deeper learning. In Martínez Agudo, J. D. D. (Ed.), Emotions in second language teaching: Theory, research and teacher education (pp. 277–297). Springer. https://doi.org/10.1007/978-3-319-75438-3_16
Mthethwa-Kunene, K., Rugube, T., & Maphosa, C. (2022). Rethinking pedagogy: Interrogating ways of promoting deeper learning in higher education. European Journal of Interactive Multimedia and Education, 3(1), Article e02204. https://doi.org/10.30935/ejimed/11439
Müller, C., & Mildenberger, T. (2021). Facilitating flexible learning by replacing classroom time with an online learning environment: A systematic review of blended learning in higher education. Educational Research Review, 34, Article 100394. https://doi.org/10.1016/j.edurev.2021.100394
Pan, Q., Zhou, J., Yang, D., Shi, D., Wang, D., Chen, X., & Liu, J. (2023). Mapping knowledge domain analysis in deep learning research of global education. Sustainability, 15(4), Article 3097. https://doi.org/10.3390/su15043097
Pellegrino, J. W., & Hilton, M. L. (Eds.). (2012). Education for life and work: Developing transferable knowledge and skills in the 21st century. National Academies Press. https://www.fsba.org/wp-content/uploads/2014/04/Education-for-life-and-work.pdf
Perera, C. J., Zainuddin, Z., Piaw, C. Y., Cheah, K. S. L., & Asirvatham, D. (2020). The pedagogical frontiers of urban higher education: Blended learning and co-lecturing. Education and Urban Society, 52(9), 1305–1329. https://doi.org/10.1177/0013124519894966
Priddis, L., & Rogers, S. L. (2018). Development of the reflective practice questionnaire: Preliminary findings. Reflective Practice, 19(1), 89–104. https://doi.org/10.1080/14623943.2017.1379384
Prifti, R. (2022). Self-efficacy and student satisfaction in the context of blended learning courses. Open Learning: The Journal of Open, Distance and e-Learning, 37(2), 111–125. https://doi.org/10.1080/02680513.2020.1755642
Qi, D., Zhang, M., & Zhang, Y. (2020). Resource integration, value co-creation and continuance intention in MOOCs learning process. Interactive Learning Environments, 31(2), 701–713. https://doi.org/10.1080/10494820.2020.1802299
Rogers, S. L., Priddis, L. E., Michels, M., Tieman, M., & Van Winkle, L. J. (2019). Applications of the reflective practice questionnaire in medical education. BMC Medical Education, 19, Article 47. https://doi.org/10.1186/s12909-019-1481-6
Seifan, M., Robertson, N., & Berenjian, A. (2020). Use of virtual learning to increase key laboratory skills and essential non-cognitive characteristics. Education for Chemical Engineers, 33, 66–75. https://doi.org/10.1016/j.ece.2020.07.006
Shamir-Inbal, T., & Blau, I. (2021). Facilitating emergency remote K–12 teaching in computing-enhanced virtual learning environments during COVID-19 pandemic—Blessing or curse? Journal of Educational Computing Research, 59(7), 1243–1271. https://doi.org/10.1177/0735633121992781
Shen, D.-D., & Chang, C.-S. (2022). Exploring college students’ deeper learning perceptions in the blended learning environment: Scale development, validation, and experimental comparison. International Journal of Technology and Human Interaction, 18(1), 1–21. http://doi.org/10.4018/IJTHI.313184
Shen, D., & Chang, C.-S. (2023). Implementation of the flipped classroom approach for promoting college students’ deeper learning. Educational Technology Research and Development, 71, 1323–1347. http://doi.org/10.1007/s11423-023-10186-4
Tabassum, Z., & Mohd Saad, M. R. B. (2024). A decadal examination of community of inquiry and blended learning in EFL/ESL development: A systematic review. Arab World English Journals, 15(1), 401–422. https://dx.doi.org/10.24093/awej/vol15no1.25
Tan, C. (2021). The impact of COVID-19 pandemic on student learning performance from the perspectives of Community of Inquiry. Corporate Governance: The International Journal of Business in Society, 21(6), 1215–1228. https://doi.org/10.1108/CG-09-2020-0419
Vallée, A., Blacher, J., Cariou, A., & Sorbets, E. (2020). Blended learning compared to traditional learning in medical education: Systematic review and meta-analysis. Journal of Medical Internet Research, 22(8), Article e16504. https://doi.org/10.2196/16504
Vlachopoulos, D., & Makri, A. (2019). Online communication and interaction in distance higher education: A framework study of good practice. International Review of Education, 65(4), 605–632. https://doi.org/10.1007/s11159-019-09792-3
Vo, H. M., Zhu, C., & Diep, N. A. (2017). The effect of blended learning on student performance at course-level in higher education: A meta-analysis. Studies in Educational Evaluation, 53, 17–28. https://doi.org/10.1016/j.stueduc.2017.01.002
Wang, N., Chen, J., Tai, M., & Zhang, J. (2021). Blended learning for Chinese university EFL learners: Learning environment and learner perceptions. Computer Assisted Language Learning, 34(3), 297–323. https://doi.org/10.1080/09588221.2019.1607881
Weber, F., Wambsganss, T., & Söllner, M. (2025). Enhancing legal writing skills: The impact of formative feedback in a hybrid intelligence learning environment. British Journal of Educational Technology, 56(2), 650–677. https://doi.org/10.1111/bjet.13529
Wu, T.-T., Lee, H.-Y., Li, P.-H., Huang, C.-N., & Huang, Y.-M. (2023). Promoting self-regulation progress and knowledge construction in blended learning via ChatGPT-based learning aid. Journal of Educational Computing Research, 61(8), 1539–1567. https://doi.org/10.1177/07356331231191125
Wut, T. M., Xu, J. (B.), Lee, S. W., & Lee, D. (2022). University student readiness and its effect on intention to participate in the flipped classroom setting of hybrid learning. Education Sciences, 12(7), Article 442. https://doi.org/10.3390/educsci12070442
Yaniawati, P., Maat, S. M., Supianti, I. I., & Fisher, D. (2022). Mathematics mobile blended learning development: Student-oriented high order thinking skill learning. European Journal of Educational Research, 11(1), 69–81. https://doi.org/10.12973/eu-jer.11.1.69
Yin, B., & Yuan, C.-H. (2021). Precision teaching and learning performance in a blended learning environment. Frontiers in Psychology, 12, Article 631125. https://doi.org/10.3389/fpsyg.2021.631125
Yin, B., & Yuan, C.-H. (2022). Blended learning performance influence mechanism based on community of inquiry. Asia Pacific Journal of Education, 44(4), 977–992. https://doi.org/10.1080/02188791.2022.2061912
Zhang, J.-H., Zou, L.-c., Miao, J.-j., Zhang, Y.-X., Hwang, G.-J., & Zhu, Y. (2020). An individualized intervention approach to improving university students’ learning performance and interactive behaviors in a blended learning environment. Interactive Learning Environments, 28(2), 231–245. https://doi.org/10.1080/10494820.2019.1636078
Zhang, R. (2020). Exploring blended learning experiences through the community of inquiry framework. Language Learning & Technology, 24(1), 38–53. https://doi.org/10125/44707
Zhao, J., Hwang, G.-J., Chang, S.-C., Yang, Q.-f., & Nokkaew, A. (2021). Effects of gamified interactive e-books on students’ flipped learning performance, motivation, and meta-cognition tendency in a mathematics course. Educational Technology Research and Development, 69, 3255–3280. https://doi.org/10.1007/s11423-021-10053-0
Zhao, S., & Song, J. (2022). Unpacking the emotional experiences of learners in a blended learning context. Frontiers in Psychology, 13, Article 879696. https://doi.org/10.3389/fpsyg.2022.879696
Zhao, W. (2022). An empirical study on blended learning in higher education in “Internet+” era. Education and Information Technologies, 27(6), 8705–8722. https://doi.org/10.1007/s10639-022-10944-6
Zhu, M., Berri, S., & Zhang, K. (2021). Effective instructional strategies and technology use in blended learning: A case study. Education and Information Technologies, 26(5), 6143–6161. https://doi.org/10.1007/s10639-021-10544-w
Zhu, M., & Bonk, C. J. (2019). Designing MOOCs to facilitate participant self-monitoring for self-directed learning. Online Learning Journal, 23(4), 106–134. https://doi.org/10.24059/olj.v23i4.2037
Zimmerman, W. A., & Kulikowich, J. M. (2016). Online learning self-efficacy in students with and without online learning experience. The American Journal of Distance Education, 30(3), 180–191. https://doi.org/10.1080/08923647.2016.1193801
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