Research Topic

This research applies the Flow-based Pedagogical Model (FPM) (Dominek, 2022), integrating experiential, game-based, and collaborative teaching methods with a strong emphasis on group synchronicity, learner engagement, and sustained motivation. The FPM is a learning-supportive model based on flow theory, structuring learning situations through clear goals, optimal challenge, and continuous feedback to enhance students’ engagement and intrinsic motivation. This focused experiential state improves attention, perseverance, and deeper understanding, resulting in more effective learning. The research examines how flow-oriented pedagogy, supported by digital tools, enhances students’ professional and digital communication skills, creativity, and learning effectiveness in higher education. It addresses current challenges, including declining student engagement, limited creative problem-solving capacity, and increasing labor market demands.

Objective & Research Questions

The primary objective of this research is to examine the pedagogical effectiveness of the FPM in the Communication Basics course. The research is guided by the following research questions: (1) How does the application of the FPM influence students’ professional and digital communication skills through real-time simulations, collaborative tasks, and experiential activities? (2) How does the FPM support students’ creativity, motivation, and active participation through flow-based elements such as optimal challenge, focused attention, immediate feedback, and learner autonomy? (3) How does the use of digital tools within the FPM enhance experiential and constructivist learning in digital, blended or interactive learning environments? (4) How can classroom-based research applying the FPM contribute to methodological innovation and educational policy development in higher education? Based on these questions, we hypothesize that the FPM facilitates a flow state characterized by deeply immersion and focused engagement, which shows a strong statistically significant relationship (P<0.001), enabling students to temporarily ignore external distractions and fully engage in collaborative, experiential, and digitally supported learning activities. This state is expected to enhance communication skills, creativity, motivation, and active participation, improving overall learning outcomes and confirming the pedagogical effectiveness of the FPM.

Theoretical Framework

The theoretical framework integrates constructivist pedagogy (Eppler, 2006), experiential learning (Megat et al., 2020), and flow theory (Csíkszentmihályi, 1990), forming the conceptual foundation of the FPM. Constructivist pedagogy conceptualizes learners as active participants who construct knowledge through interaction, collaboration, and reflection. Within this framework, students are not passive recipients but actively shape learning, engaging with peers, digital resources, and authentic problem-solving contexts (Nahalka, 1997).

Experiential learning theory focuses on learning through experience, reflection, and application (Ertmer & Ottenbreit-Leftwih, 2010). The FPM operationalizes experiential learning through real-time communication simulations, collaborative group work, and creative problem-solving tasks, supporting deeper cognitive processing and the development of transferable competencies.

Flow theory describes optimal learning experiences with deep concentration, motivation, and enjoyment (Csíkszentmihályi, 1990). The FPM integrates flow-based elements—clear goals, balanced challenge–skill relations, immediate feedback, and learner autonomy—to sustain engagement and performance. The flow approach also mitigates blockages encountered with complex or unfamiliar tasks, promoting flexible thinking, ownership of ideas, and collaborative inspiration (Dominek & Barnucz, 2022).

The FPM addresses a systemic educational challenge: traditional education often prioritizes content transmission over creativity development. Embedding creativity, problem-solving, and innovation in digitally supported lessons contributes to adaptive and engaging learning environments (Dominek et al., 2025).

Finally, the research aligns with the University’s Institutional Development Plan (2020–2025), emphasizing experiential pedagogy, digital skills, and modernization. Classroom-based research demonstrates that flow-based experiential pedagogy provides a sustainable framework for improving teaching quality, student satisfaction, and long-term learning outcomes.

The research applies research-based best practices to enhance students’ learning experience, creativity, and competence development. The methodological framework integrates constructivist and experiential pedagogy with flow theory to sustain engagement, motivation, and creative performance. The FPM assumes meaningful learning arises when educational content triggers novelty, optimal challenge, and positive emotional involvement, fostering psychological safety and intrinsic motivation. The model enables educators to design playful, experience-based learning environments supporting the development of transversal competencies such as critical thinking, problem-solving, collaboration, and professional communication. This approach aligns with Csíkszentmihályi’s conceptualization of flow as an optimal experiential state characterized by deep immersion and reduced anxiety. Classroom-based research from was conducted in different higher education institutions within the Communication Basics curriculum over three semesters (autumn 2023/2024: traditional, spring 2023/2024: digital, autumn 2024/2025: blended). Participants included first- and second-year full-time university students from diverse disciplines (N=155): 50 students in Institution1 (traditional methodology without FPM) and 55 students in Institution 2 (digital FPM-based methodology). Study and control groups were formed to allow comparative analysis across traditional, digital, and blended teaching methodologies, both with and without the FPM. The primary research instrument was the Dominek Learning Flow Questionnaire (DLFQ), a validated 20-item self-report instrument measuring students’ perceived learning flow across challenge–skill balance, immersion, competence, and action–awareness, using a five-point Likert scale. The DLFQ was administered at the end of selected lessons to assess students’ engagement and flow experience. Data collection relied on anonymized questionnaires, with quantitative analysis conducted using manual and computer-assisted statistical procedures, including correlation analyses, cross-institutional experiments, one-way ANOVA, Turkey HSD post-hoc test, Welch’s two-sample t-test conducted with SPSS software. This mixed-method classroom research design validated the FPM-based best practices. The intervention employed blended and digital learning environments supported by ICT tools such as Canva, Genially, Padlet, smartphones, YouTube, QR code generators, and Google Maps. Students worked in small groups on simulation-based tasks enabling experiential knowledge reconstruction and collaborative problem-solving. The methodological design demonstrates how digitally supported, flow-based pedagogy systematically enhances engagement, creativity, and communication competence in higher education.

This research examined the effectiveness of the FPM through cross- and within-institution classroom experiments using traditional, digital, and blended teaching methodologies. Results demonstrate that FPM significantly enhances student engagement and sustains a flow state, regardless of instructional format or disruptions, with strong statistical significance (p<0.001) compared to non-FPM instruction, addressing the research questions and confirming the hypothesis of flow immersion and focused engagement. Cross-institutional experiments revealed substantial differences between lessons with and without FPM. In Institution 1, using traditional instruction without FPM achieved a low flow score (50.93%), indicating limited engagement. Institution 2, using digital FPM-based practices, reached 81.59%, showing high immersion and challenge–skill balance. These differences were confirmed by one-way ANOVA and Tukey HSD post-hoc test, validating continuous engagement and improved learning effectiveness (Chinta et al., 2024). Within-institution longitudinal experiments further validated the model’s robustness. Across three consecutive semesters, FPM-based practices consistently produced high flow scores (86–100%) under all teaching conditions. Lessons with deliberate “glitch or twist” situations did not undermine learning outcomes. Correlation analyses and Welch’s two-sample t-tests showed these authentic disruptions enhanced students’ creativity, adaptability, and collaborative problem-solving while maintaining immersion and challenge–skill balance (Csajka & Pozsegovics, 2019). Overall, flow scores exceeding 80% highlight the methodological strength of FPM, confirming sustained flow immersion and focused task engagement. The model offers a flexible pedagogical framework transforming uncertainty and human error into meaningful experiential learning opportunities, providing empirical support for the research questions and the hypothesis, and demonstrating its potential as a transferable, evidence-based approach for sustaining engagement, resilience, and deep learning in higher education.

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