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DEEP DIGITAL LEARNING (DDL) MODEL EFFECT ON HIGHER EDUCATION CRITICAL THINKING AND PROBLEM-SOLVING SKILLS: A QUASI-EXPERIMENTAL STUDY
Abstract
Purpose – This study investigates the effectiveness of the Deep Digital Learning (DDL) model to address the failure of conventional digital learning to foster Higher-Order Thinking Skills (HOTS). Unlike prior fragmented approaches, the model proposes a novel conceptual synthesis of personalization, collaboration, authentic problem-based learning, and data-driven feedback to enhance critical thinking and problem-solving.
Methodology – This quasi-experimental design employed 70 students from the Educational Technology study program. The experimental group (n = 35) used the DDL intervention via the SIDIA Learning Management System (LMS). In contrast, the control group (n = 35) used Conventional Digital Learning (CDL) as a non-equivalent control for seven weeks. Data were collected using validated rubrics for Critical Thinking (CT) and Problem-Solving (PS) skills tests, which were analyzed using Analysis of Variance (ANOVA).
Findings – The ANOVA results statistically showed that the DDL group achieved significantly higher post-test scores for both Critical Thinking skills (F(1, 68) = 169.30, p < 0.001) and Problem-Solving skills (F(1, 68) = 140.65, p < 0.001). The mean difference confirmed the superiority of the experimental class in both skills (3.35 points for CT and 3.37 points for PS). This confirms DDL is more effective than CDL in enhancing students’ HOTS.
Contribution – Beyond statistical significance, this study positions DDL as a strategic instructional blueprint in advancing HOTS. It provides Higher Education with a proven framework to strengthen digital transformation, ensuring the achievement of Outcome-Based Education (OBE) and 21st-century skills.Keywords
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Alenezi, M., Wardat, S., & Akour, M. (2023). The need to integrate digital education into higher education: Challenges and opportunities. Sustainability, 15(6), 4782. https://doi.org/10.3390/su15064782
Alirezabeigi, S., & Decuypere, M. (2025). Evaluating datafied time: exploring the multiple temporalities of teachers’ work with digital assessment. Critical Studies in Education, 66(2), 197–212. https://doi.org/10.1080/17508487.2025.2451886
Almufarreh, A., & Arshad, M. A. (2023). Promising emerging technologies for teaching and learning: Recent developments and future challenges. Sustainability, 15(8), 6917. https://doi.org/10.3390/su15086917
Angelo, R. (2022). An authentic pedagogical approach to developing information systems project-based solutions. Journal of Computer Information Systems, 62(6), 1271–1282. https://doi.org/10.1080/08874417.2021.2007817
Apiati, V., & Hermanto, R. (2020). Kemampuan berpikir kritis peserta didik dalam memecahkan masalah matematik berdasarkan gaya belajar. Mosharafa: Jurnal Pendidikan Matematika, 9(1), 167-178. https://doi.org/10.31980/mosharafa.v9i1.630
Bygstad, B., Øvrelid, E., Ludvigsen, S., & Dæhlen, M. (2022). From dual digitalization to digital learning space: Exploring the digital transformation of higher education. Computers & Education, 182, 104463. https://doi.org/10.1016/j.compedu.2022.104463
Caspari-Sadeghi, S. (2023). Learning assessment in the age of big data: Learning analytics in higher education. Cogent Education, 10(1), 2162697. https://doi.org/10.1080/2331186X.2022.2162697
Chen, J., & Singh, C. K. S. (2024). A systematic review on deep learning in education: Concepts, factors, models, and measurements. Journal of Education and Educational Research, 7(1), 125–129. https://doi.org/10.54097/gzk2yd38
Daniela, L. (2021). Smart pedagogy as a driving wheel for technology-enhanced learning. Technology Knowledge and Learning, 26, 711–718. https://doi.org/10.1007/s10758-021-09536-z
Daryanes, F., Ririen, D., Fikri, K., & Sayuti, I. (2023). Improving students’ critical thinking through the learning strategy “Students as Researchers": Research-based learning. Jurnal Penelitian Pendidikan IPA, 9(5), 2374–2382. https://doi.org/10.29303/jppipa.v9i5.2345
Decuypere, M., Grimaldi, E., & Landri, P. (2021). Introduction: Critical studies of digital education platforms. Critical Studies in Education, 62(1), 1–16. https://doi.org/10.1080/17508487.2020.1866050
DeSantis, W. J., Delcourt, M. A. B., Shore, B. M., & Greenwood, J. C. (2023). Impact of data-driven feedback and coaching on preservice teachers' higher-order thinking questioning skills within a mixed-reality simulation environment. Education Sciences, 13(6), 596. https://doi.org/10.3390/educsci13060596
Dolmans, D. H. J. M., Loyens, S. M. M., Marcq, H., & Gijbels, D. (2016). Deep and surface learning in problem-based learning: a review of the literature. Advances in Health Sciences Education, 21(5), 1087–1112. https://doi.org/10.1007/s10459-015-9645-6
Garivaldis, F., McKenzie, S., Henriksen, D., & Studente, S. (2022). Achieving lasting education in the new digital learning world. Australasian Journal of Educational Technology, 38(4), 1–11. https://doi.org/10.14742/ajet.8331
Gee, J. (2009). Deep learning properties of good digital games: How far can they go? In U. Ritterfeld, M. Cody, & P. Vorderer, Serious Games: Mechanisms and Effects (pp. 67–82). Routledge Taylor & Francis Group. https://doi.org/10.4324/9780203891650
George, A., Ranjha, S., & Kulkarni, A. (2021). Enhanced problem-solving through redefined 8D step completion criteria. Quality Engineering, 33(4), 695–711. https://doi.org/10.1080/08982112.2021.1969665
Gordon, C., & Debus, R. (2010). Developing deep learning approaches and personal teaching efficacy within a preservice teacher education context. British Journal of Educational Psychology, 72(4), 483–511. https://doi.org/10.1348/00070990260377488
Harju, V., Koskinen, A., & Pehkonen, L. (2019). An exploration of longitudinal studies of digital learning. Educational Research, 61(4), 388–407. https://doi.org/10.1080/00131881.2019.1660586
Hidayatullah, & Setiawan, B. (2024). Empowering students' collaborative skills through sustainable problem-based learning as an instructional strategy in online learning. Cogent Education, 11(1), 2362006. https://doi.org/10.1080/2331186X.2024.2362006
Hrastinski, S. (2023). Informed design for learning with digital technologies. Interactive Learning Environments, 31(2), 972–979. https://doi.org/10.1080/10494820.2020.1815221
Huri, A. S., Sahae, J. P., Prince, A. M., & Srivastava, R. (2024). Collaborative learning communities: Enhancing student engagement and academic achievement. Educational Administration: Theory and Practice, 30(5), 7031–7036. https://doi.org/10.53555/kuey.v30i5.3624
Kirkwood, A., & Price, L. (2014). Technology-enhanced learning and teaching in higher education: what is ‘enhanced’ and how do we know? A critical literature review. Learning, Media and Technology, 39(1), 6–36. https://doi.org/10.1080/17439884.2013.770404
Kovač, V. B., Nome, D. Ø., Jensen, A. R., & Skreland, L. L. (2025). The why, what, and how of deep learning: critical analysis and additional concerns. Education Inquiry, 16(2), 237–253. https://doi.org/10.1080/20004508.2023.2194502
Lin, C. J., & Hwang, G. J. (2025). Artificial intelligence-supported procedural scaffolding for promoting EFL learners’ writing performance in flipped peer assessment activities. Interactive Learning Environments, 34(1), 1–15. https://doi.org/10.1080/10494820.2025.2532629
Lock, J., & Duggleby, S. (2018). Exploring quality of life through an online international collaboration. Technology, Pedagogy and Education, 27(5), 533–548. https://doi.org/10.1080/1475939X.2018.1533492
Lu, D. (2025). Teacher moderating in synchronous online instruction and its correlation with students’ critical thinking. Technology, Pedagogy and Education, 35(1), 1–17. https://doi.org/10.1080/1475939X.2025.2587036
Manassis, K. (2012). Problem Solving in Child and Adolescent Psychotherapy: A Skills-Based Collaborative Approach. Guilford Press.
Martín-Lucas, J., García del Dujo, Á. (2023). Knowledge-building in an environment mediated by digital technology: A case study in higher education. Education and Information Technologies, 28, 3267–3287. https://doi.org/10.1007/s10639-022-11304-0
Matsushita, K. (2018). Deep Active Learning: Toward Greater Depth in University Education. Springer Nature Singapore. https://doi.org/10.1007/978-981-10-5660-4
McLachlan, K., & Tippett, N. (2024). Kickstarting creative collaboration: placing authentic feedback at the heart of online digital media education. Assessment & Evaluation in Higher Education, 49(2), 246–261. https://doi.org/10.1080/02602938.2023.2209295
Meyer, K., & White, C. (2022). Stick to the theory: Findings from a complex care intervention following transition to digital delivery. Innovation in Aging, 6 (Supplement 1), 393. https://doi.org/10.1093/geroni/igac059.1546
Nasim, S. M., Mujeeba, S., AlShraah, S. M., Khan, I. A., Amir, & Ali, Z. (2024). Exploring pedagogical perspectives of EFL instructors: advantages, disadvantages, and implications of Blackboard as an LMS for language instruction. Cogent Social Sciences, 10(1), 2312659. https://doi.org/10.1080/23311886.2024.2312659
Nguyen, H. T. T. (2024). LMS-based integrated online assessment implementation at the university to foster learning motivation and academic performance. Interactive Learning Environments, 32(7), 3638–3651. https://doi.org/10.1080/10494820.2023.2187422
Plass, J. L., & Pawar, S. (2020). Toward a taxonomy of adaptivity for learning. Journal of Research on Technology in Education, 52(3), 275–300. https://doi.org/10.1080/15391523.2020.1719943
Pereira, A. S., & Wahi, M. M. (2019). Deeper learning methods and modalities in higher education: A 20-year review. Journal of Higher Education Theory and Practice, 19(8), 48–71. https://doi.org/10.33423/jhetp.v19i8.2672
Reinhold, F., Leuders, T., Loibl, K., Nückles, M., Beege, M., & Boelmann, J. M. (2024). Learning mechanisms explaining learning with digital tools in educational settings: A cognitive process framework. Educational Psychology Review, 36, 14. https://doi.org/10.1007/s10648-024-09845-6
Steinert, S., Marin, L., & Roeser, S. (2025). Feeling and thinking on social media: emotions, affective scaffolding, and critical thinking. Inquiry, 68(1), 114–141. https://doi.org/10.1080/0020174X.2022.2126148
Timperley, C., & Schick, K. (2024). Assessment as pedagogy: Inviting authenticity through relationality, vulnerability, and wonder. Teaching in Higher Education, 30(3), 592–607. https://doi.org/10.1080/13562517.2024.2367662
Wakefield, A., Murray, R. R., & Bell, E. (2024). Filmmaking with biology undergraduates: combining digital technology with authentic assessment to develop students’ skillset and capabilities for life after graduation. Cogent Education, 11(1), 2327781. https://doi.org/10.1080/2331186X.2024.2327781
Wang, C. (2022). Comprehensively summarizing what distracts students from online learning: A literature review. Human Behavior and Emerging Technologies, 2022, 1483531. https://doi.org/10.1155/2022/1483531
Wu, X. Y. (2024). Exploring the effects of digital technology on deep learning: a meta-analysis. Education and Information Technology, 29, 425–458. https://doi.org/10.1007/s10639-023-12307-1
Yin, J., Goh, T.-T., Yang, B., & Xiaobin, Y. (2021). Conversation technology with micro-learning: The impact of chatbot-based learning on students’ learning motivation and performance. Journal of Educational Computing Research, 59(1), 154–177. https://doi.org/10.1177/0735633120952067
DOI: https://doi.org/10.36987/jes.v13i1.8272
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