Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 19th Aug 2026, 21:30:14 EET
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Daily Overview |
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01 SES 11 C: Workshop: Supporting Teachers in Their Professional Learning to Develop Effective and Efficient Feedback Practices in Physiotherapy Advanced Collaborative Education
Research Workshop | ||
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01. Professional Learning and Development
Research Workshop Supporting Teachers in Their Professional Learning to Develop Effective and Efficient Feedback Practices in Physiotherapy Advanced Collaborative Education HAN University of Applied Sciences, Netherlands, The Presenting Author:Across Europe, higher education programmes in the health professions are increasingly challenged to prepare graduates for uncertain, complex and rapidly changing professional contexts, which has led to a strong emphasis on graduate qualities such as adaptability, resilience and the capacity for reflection in and on action (Buchan et al., 2014). These qualities are particularly relevant for contemporary physiotherapy practice, where professionals must continuously navigate uncertainty and translate knowledge flexibly into practice (Biemans et al., 2024). Physiotherapy Advanced Collaborative Education (PACE) was developed as a research-informed educational concept to address these challenges by creating a comprehensive learning environment that supports students’ professional development (Stolwijk et al., 2025) and aligns with the ECER 2026 theme of putting research into action. The PACE curriculum is organised as a flexible, competency-based programme in which students learn within communities of practice and follow individual learning paths across thematic periods. Students collect evidence of their professional development in portfolios and receive feedback to support their learning (Branzetti et al., 2023). The curriculum is organised according to the principles of programmatic assessment, integrating feedback, reflection and coaching as central elements of the curriculum (Schuwirth & Van der Vleuten, 2011). Within PACE, teachers fulfil multiple roles, including subject matter expert, designer of learning environments and facilitator of meaningful interaction, all to avail student learning. Central to these roles is the provision of feedback, which students can use both to guide their development (formative function) and to demonstrate attainment of learning outcomes (summative function). In practice, however, the way feedback is designed and enacted by teachers strongly shapes how students engage with it, positioning teachers as key agents in determining whether feedback functions primarily as a learning resource or as evidence for assessment (Baartman et al., 2022). Research shows that teachers tend to provide mainly task‑level feedback, even though process feedback is far more powerful for developing adaptability, reflection and deep learning (Hattie & Timperley, 2007). Such higher‑level feedback supports a mastery rather than a performance goal orientation, an essential condition for learning in complex professional contexts. At the same time, teachers in the PACE programme feel overwhelmed by the high number of individual feedback requests and by the limited impact their feedback appears to have on students’ deep learning, a pattern mirrored in international research (Molloy et al., 2020). These challenges lead to a multidimensional research objective: how can students be supported to engage more productively with feedback, and how can teachers be enabled to facilitate this effectively. Since teachers play a major role in shaping students’ uptake of feedback (Russell et al., 2022), it is essential that they develop the skills needed to create learning environments in which feedback is also used for learning (Stolwijk et al., 2025). Although knowledge about teacher feedback literacy is increasing (Boud & Dawson, 2023; Carless & Winstone, 2020), teachers still experience difficulties in accessing, interpreting and applying this evidence‑informed knowledge in their own contexts. To address this, teachers need actionable knowledge that helps them identify the causes of feedback challenges and develop a practical repertoire of strategies to address them (Markauskaite & Goodyear, 2015). Professional learning offers a promising way to develop such actionable knowledge. It supports teachers in strengthening their pedagogical expertise by designing and implementing professional experiments in their own classrooms and reflecting collaboratively on their outcomes within communities of practice (Mockler, 2024). Our research aims to promote a European dialogue on the potential of participatory design research as a method for professional learning. Therefore, the central research question of this investigation, is: How to support teachers’ professional learning to optimize the effectiveness and efficiency of teachers’ feedback practices? Methodology, Methods, Research Instruments or Sources Used A participatory, design-based research approach was chosen to support PACE teachers in developing effective and efficient feedback practices (Wacnik et al., 2025). To foster the teachers professional learning, a conceptual tool was created, which aims to help teachers to develop actionable knowledge and design professional experiments that bridge the gap between evidence-informed theory and urgent real-world challenges (Smith et al., 2013). In a series of design team meetings, we will: a) take stock of the challenges that teachers and students experience in their feedback practices. b) help teachers decide which challenge has the highest priority. c) support teachers to explore, with the support of the conceptual tool, which elements of the feedback learning cycle and factors are most likely to hinder the effectiveness and efficiency of feedback in their specific contexts. d) support teachers to check their assumptions about the most relevant factors in their teaching contexts, in order to identify the most prominent ones. e) support teachers to explore relevant design principles to address the identified factors with the help of the conceptual tool. f) co-design professional experiments with teachers and their students using conjecture maps (Sandoval, 2014). These experiments are based on the design principles identified in the previous step. g) co-design instruments that can capture the intended mediating processes and learning outcomes, in order to measure the impact of the experiments. h) organizing collective sense-making of the data by all teachers and students. Furthermore, online pre- and post-test questionnaires, based on the work of Carless and Winstone (2020), Boud and Dawson (2023), and Markauskaite and Goodyear (2015) , are used alongside semi-structured focus interviews to capture the impact of teachers' professional learning on their development of actionable knowledge and feedback literacy. To measure the impact on the development of student feedback literacy we will use an online questionnaire (Woitt et al., 2025). During the research workshop, we will first give a short presentation on the context, theoretical framework, research question and methodology. Then, the main focus of the workshop will be for participants to explore real-world examples of the teachers feedback challenges using the conceptual tool. Participants will be invited to have a practical experience with the steps c-f (as described above) using these real-world examples. After this practical experience we will discuss and reflect on participants' experiences and discuss the potential for other research projects and different contexts. Conclusions, Expected Outcomes or Findings As we write this submission, the research project is still ongoing. It is longitudinal in nature, having started in 2025 and is due to finish in 2027. However, we will share our growing insights on the following expected outcomes during the workshop: Expected outcomes for practice: • practical support for teachers in identifying, prioritising and deepening issues regarding the effectiveness and efficiency of feedback practices • support for teachers to reach a deeper understanding of the factors that potentially influence the effectiveness and efficiency of their feedback practices • deepen teachers' actionable knowledge and expand their repertoire of actions to increase the effectiveness and efficiency of feedback practices Expected outcomes for science: • insights into the perception of feedback issues from teachers' and students' perspectives • insights on how a conceptual tool can best support teachers in identifying, analysing and prioritising feedback issues • insights how a conceptual tool can support teachers in designing, conducting and evaluating professional experiments to make feedback practices more effective and efficient • the effects of professional experiments on the development of teacher and student feedback literacy, teacher actionable knowledge • the impact of working with conceptual tools on the professional learning of actionable knowledge and teachers' action repertoire • insight into active factors in participatory design-based research supported by conceptual tool References Baartman, L., Baukema, H., & Prins, F. (2022). Exploring students' feedback seeking behavior in the context of programmatic assessment. Assessment and evaluation in higher education, 1-15. Biemans, B. L. H., Koenders, N., de Bie, R. A., Sieben, J. M., & Hoogeboom, T. J. (2024). The struggle of dealing with uncertainty: a qualitative, phenomenological study about how Dutch novice physical therapists experience their transition from student to professional. Ann Med, 56(1), 2399755. Boud, D., & Dawson, P. (2023). What feedback literate teachers do: an empirically-derived competency framework. Assessment & Evaluation in Higher Education, 48(2), 158-171. Branzetti, J., Hopson, L. R., Gisondi, M. A., & Regan, L. (2023). Training for Adaptive Expertise: Why, What, and How. Academic Medicine, 99(1), 121-121. Buchan, J., Wismar, M., Glinos, I. A., & Bremner, J. (2014). Health professional mobility in a changing Europe: new dynamics, mobile individuals and diverse responses. World Health Organization; European Observatory on Health Systems and Policies. Carless, D., & Winstone, N. (2020). Teacher feedback literacy and its interplay with student feedback literacy. Teaching in Higher Education, 28. Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81-112. Markauskaite, L., & Goodyear, P. (2015). Epistemic fluency and professional education: innovation, knowledgeable action and actionable knowledge. Mockler, N. (2024). Troubled times and seeds of hope: some reflections on teacher professional learning as praxis development. Professional development in education, 50, 1-8. Molloy, E., Boud, D., & Henderson, M. (2020). Developing a learning-centred framework for feedback literacy [Article]. Assessment & Evaluation in Higher Education, 45(4), 527-540. Schuwirth, L. W. T., & Van der Vleuten, C. P. M. (2011). Programmatic assessment: From assessment of learning to assessment for learning. Medical teacher, 33(6), 478-485. Smith, C., Blake, A., Kelly, F., Gray, P., & McKie, M. (2013). Adding pedagogical process knowledge to pedagogical content knowledge [Article]. teachers' professional learning and theories of practice in science education, 2(2), 132-159. Stolwijk, N., van Bergen, A., Jetten, E., & Maas, M. (2025). Preparing physiotherapists for the future: the development and evaluation of an innovative curriculum. BMC Med Educ, 25(1), 83. Wacnik, P., Daly, S. R., & Verma, A. (2025). Participatory design: a systematic review and insights for future practice. Design Science, 11, e21, Article e21. Woitt, S., Weidlich, J., Jivet, I., Orhan Göksün, D., Drachsler, H., & Kalz, M. (2025). Students’ feedback literacy in higher education [Article]. an initial scale validation study, 30(1), 257-276. | ||
