This paper presents a mixed methods study in which 77 students and 3 teachers took part, that investigated the practice of Learning by Design (LBD). The study is part of a series of studies, funded by the Netherlands Organisation for Scientific Research (NWO), that aims to improve student learning, teaching skills and teacher training. LBD uses the context of design challenges to learn, among other things, science. Previous research showed that this approach to subject integration is quite successful but provides little profit regarding scientific concept learning. Perhaps, when the process of concept learning is better understood, LBD is a suitable method for integration. Through pre- and post-exams we measured, like others, a medium gain in the mastery of scientific concepts. Qualitative data revealed important focus-related issues that impede concept learning. As a result, mainly implicit learning of loose facts and incomplete concepts occurs. More transparency of the learning situation and a stronger focus on underlying concepts should make concept learning more explicit and coherent.
Conference Paper From the article: Abstract Learning analytics is the analysis and visualization of student data with the purpose of improving education. Literature reporting on measures of the effects of data-driven pedagogical interventions on learning and the environment in which this takes place, allows us to assess in what way learning analytics actually improves learning. We conducted a systematic literature review aimed at identifying such measures of data-driven improvement. A review of 1034 papers yielded 38 key studies, which were thoroughly analyzed on aspects like objective, affected learning and their operationalization (measures). Based on prevalent learning theories, we synthesized a classification scheme comprised of four categories: learning process, student performance, learning environment, and departmental performance. Most of the analyzed studies relate to either student performance or learning process. Based on the results, we recommend to make deliberate decisions on the (multiple) aspects of learning one tries to improve by the application of learning analytics. Our classification scheme with examples of measures may help both academics and practitioners doing so, as it allows for structured positioning of learning analytics benefits.
We extend a standard for doing agile scrum teamwork in education that permits individual assessment within teams (IAFOR ECE2020). Since the teacher's bandwidth in education is limited and increasingly under pressure, we focus on course design options that can be used to leverage the bandwidth. One economizing option in courses is to let teams prerecord prototype presentation videos before sprint review takes place. This allocates expensive teacher's time to team interrogation time which enriches interaction and engagement and enables effective sharing between teams to improve communication flow in sparse stakeholder feedback scenarios. We also describe three learning analytic pathways that can be smartly integrated into learning dashboards to monitor student and team progress or into learning recommender systems and chatbots to generate action-directed, just-in-time feedback and advice to students. The first one is for setup that enables control of important team diversity and student inclusion parameters such as demographic, personality and professional traits that are known from the student population in advance and that enables handy attribution of 21st-century skill sets within teams. The second one is the product pathway that builds on a datastream generated from qualitative, quantitative and immersive product features that are known from prototyping. The third one is the process pathway in which information on 21st-century skills is generated that are at play in individual and dynamic team processes. We are convinced that these extensions will further enable effective learning technology that is directed to applying agile scrum in education efficently, both for students as teachers.
The HAS professorship Future Food Systems is performing applied research with students and external partners to transform our food system towards a more sustainable state. In this research it is not only a question of what is needed to achieve this, but also how and with whom. The governance of our food system needs rethinking to get the transformative momentum going in a democratic and constructive manner. Building on the professorship’s research agenda and involvement in the transdisciplinary NWA research project, the postdoc will explore collective ownership and inclusive participation as two key governance concepts for food system transformation. This will be done in a participatory manner, by learning from and with innovative bottom-up initiatives and practitioners from the field. By doing so, the postdoc will gain valuable practical insights that can aid to new approaches and (policy) interventions which foster a sustainable and just food system in the Netherlands and beyond. A strong connection between research and education is created via the active research involvement of students from different study programs, supervised by the postdoc (Dr. B. van Helvoirt). The acquired knowledge is embedded in education by the postdoc by incorporating it into HAS study program curricula and courses. In addition, it will contribute to the further professional development of qualitative research skills among HAS students and staff. Through scientific, policy and popular publications, participation in (inter)national conferences and meetings with experts and practitioners, the exposure and network of the postdoc and HAS in the field of food systems and governance will be expanded. This will allow for the setting up of a continuous research effort on this topic within the professorship via follow-up research with knowledge institutes, civic society groups and partners from the professional field.
The Hanze Hogeschool Groningen, the Authoridad Nacional del Agua, and Waterschap Noorderzijlvest, together with several other Dutch and Peruvian universities, co-organise an annual ClimateCafé in the northern Peruvian areas Piura and Tumbes, as part of the Blue Deal project. The ClimateCafé methodology is a multiple-day participatory workshop composed by an international community and powered by individual, corporate, public, and academic climate change adaptation influencers. The aim is to educate and inspire tech and non-tech people, focusing on young professionals in a “learning by doing” interaction.
Copiloot voor COPD is een app voor mensen met COPD die hen ondersteunt bij zelfmanagement. Copiloot helpt hen symptomen te monitoren en verandering te signaleren. Met een persoonlijk longaanval-actieplan worden zij geholpen bij het nemen van de juiste beslissing op het juiste moment: learning by doing.
