Collaborative learning is not a new teaching and learning approach; it has been around since the 1970s and is an evidence-based practice that has been proven to be effective time after time. Therefore, instead of reinventing the wheel or only relying on best practices or anecdotal evidence of what works and what doesn’t, especially when designing Collaborative Online International Learning (COIL) environments, educators might find it useful to make use of existing collaborative learning instructional design elements. These elements have been scientifically proven to be effective and can be applied in both the physical and online international classroom.
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Learning teams in higher education executing a collaborative assignment are not always effective. To remedy this, there is a need to determine and understand the variables that influence team effectiveness. This study aimed at developing a conceptual framework, based on research in various contexts on team effectiveness and specifically team and task awareness. Core aspects of the framework were tested to establish its value for future experiments on influencing team effectiveness. Results confirmed the importance of shared mental models, and to some extent mutual performance monitoring for learning teams to become effective, but also of interpersonal trust as being conditional for building adequate shared mental models. Apart from the importance of team and task awareness for team effectiveness it showed that learning teams in higher education tend to be pragmatic by focusing primarily on task aspects of performance and not team aspects. Further steps have to be taken to validate this conceptual framework on team effectiveness.
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Collaborative learning in a culturally diverse secondary vocational education. By K. Tielman (Fontys), P. den Brok (ESoE), S. Bolhuis (Fontys) and R. van de Sande (Fontys) This contribution discusses a descriptive study on the experiences of students and teachers in secondary vocational education regarding collaborative learning (CL) in a culturally diverse context. The study bridges two domains of research: research on culturally diverse learning environments - which has mostly concerned primary and general secondary education (e.g. de Haan (2005), Hajer (1996), Radstake (2007) and studies on CL. The present study adds to the existing literature not only by integrating these two domains, but also by its specific focus on Dutch secondary vocational education and by focusing on multiple sources of evidence (both cognitions and actions; both student and teacher perspectives). The study analyzes current practices and perceptions of teachers and students with CL in a culturally diverse, competence-based learning environment. The sample consisted of 27 students (with 12 different cultural backgrounds) and two of their teachers (a mentor and a coach/tutor). Teachers and students were followed while working on a project-based series of lessons. Data collection consisted of two steps. In the first step, small groups of students and their teachers were observed and videotaped (allowing for simultaneous analysis of both verbal and non-verbal behaviors) during collaborative learning tasks. Based on these observations, semi-structured interviews were conducted with 9 groups of 3 students and the two teachers, focusing on topics of collaboration, communication, participation, coaching and conflicts, all of which derived from CL characteristics mentioned by Johnson & Johnson (1994). In the second step, video-stimulated (recall) interviews were conducted with both teachers. The interviews were based on a-priori defined moments selected by the teachers themselves and/or the researcher. The data was qualitatively analyzed in an interactive process between theory and data using the computer program Atlas-Ti. Codes were partially based on CL characteristics from the literature (Johnson & Johnson, 1994) and partially on focal points emerging from the observations/interviews. To establish reliability of the coding process, parts of the data were coded by a second researcher, leading to an inter-rater reliability (Cohen's kappa) of 0.87, and a percentage of agreement between both researchers of 81.5 on 54 valid fragments. The findings suggest three major themes behind the data: 1) individual accountability of the students; 2) the importance of the teacher/coach role; and 3) the aspect of (absence of) cultural consciousness. The results of the study suggest that on the one hand students are mostly focused on their individual performance and that there is poor collaboration among classmates while working on collaborative learning tasks, while on the other hand teachers seem unaware of their own role in affecting students' behavior and the influence of cultural backgrounds of students in the CL process. Despite the limitations of this study (a small number of participants, one single school and only one sector of secondary vocational education), the results of the study suggests that teachers of culturally diverse classrooms of the secondary vocational education must become more aware of their own roles as adaptive coaches and models and of the influence of multiculturality on CL. The full paper discusses the results and suggestions in detail.
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As the Dutch population is aging, the field of music-in-healthcare keeps expanding. Healthcare, institutionally and at home, is multiprofessional and demands interprofessional collaboration. Musicians are sought-after collaborators in social and healthcare fields, yet lesser-known agents of this multiprofessional group. Although live music supports social-emotional wellbeing and vitality, and nurtures compassionate care delivery, interprofessional collaboration between musicians, social work, and healthcare professionals remains marginal. This limits optimising and integrating music-making in the care. A significant part of this problem is a lack of collaborative transdisciplinary education for music, social, and healthcare students that deep-dives into the development of interprofessional skills. To meet the growing demand for musical collaborations by particularly elderly care organisations, and to innovate musical contributions to the quality of social and healthcare in Northern Netherlands, a transdisciplinary education for music, physiotherapy, and social work studies is needed. This project aims to equip multiprofessional student groups of Hanze with interprofessional skills through co-creative transdisciplinary learning aimed at innovating and improving musical collaborative approaches for working with vulnerable, often older people. The education builds upon experiential learning in Learning LABs, and collaborative project work in real-life care settings, supported by transdisciplinary community forming.The expected outcomes include a new concept of a transdisciplinary education for HBO-curricula, concrete building blocks for a transdisciplinary arts-in-health minor study, innovative student-led approaches for supporting the care and wellbeing of (older) vulnerable people, enhanced integration of musicians in interprofessional care teams, and new interprofessional structures for educational collaboration between music, social work and healthcare faculties.
Renewable energy, particularly offshore wind turbines, plays a crucial role in the Netherlands' and EU energy-transition-strategies under the EU Green Deal. The Dutch government aims to establish 75GW offshore wind capacity by 2050. However, the sector faces human and technological challenges, including a shortage of maintenance personnel, limited operational windows due to weather, and complex, costly logistics with minimal error tolerance. Cutting-edge robotic technologies, especially intelligent drones, offer solutions to these challenges. Smaller drones have gained prominence through applications identifying, detecting, or applying tools to various issues. Interest is growing in collaborative drones with high adaptability, safety, and cost-effectiveness. The central practical question from network partners and other stakeholders is: “How can we deploy multiple cooperative drones for maintenance of wind turbines, enhancing productivity and supporting a viable business model for related services?” This is reflected in the main research question: "Which drone technologies need to be developed to enable collaborative maintenance of offshore wind turbines using multiple smaller drones, and how can an innovative business model be established for these services? In collaboration with public and private partners, Saxion, Hanze, and RUG will research the development of these collaborative drones and investigate the technology’s potential. The research follows a Design Science Research methodology, emphasizing solution-oriented applied research, iterative development, and rigorous evaluation. Key technological building blocks to be developed: • Morphing drones, • Intelligent mechatronic tools, • Learning-based adaptive interaction controllers and collaborations. To facilitate the sustainable industrial uptake of the developed technologies, appropriate sustainable business models for these technologies and services will be explored. The project will benefit partners by enhancing their operations and business. It will contribute to renewing higher professional education and may lead to the creation of spin-offs/spinouts which bring this innovative technology to the society, reinforcing the Netherlands' position as a leading knowledge economy.
Horse riding falls under the “Sport for Life” disciplines, where a long-term equestrian development can provide a clear pathway of developmental stages to help individuals, inclusive of those with a disability, to pursue their goals in sport and physical activity, providing long-term health benefits. However, the biomechanical interaction between horse and (disabled) rider is not wholly understood, leaving challenges and opportunities for the horse riding sport. Therefore, the purpose of this KIEM project is to start an interdisciplinary collaboration between parties interested in integrating existing knowledge on horse and (disabled) rider interaction with any novel insights to be gained from analysing recently collected sensor data using the EquiMoves™ system. EquiMoves is based on the state-of-the-art inertial- and orientational-sensor system ProMove-mini from Inertia Technology B.V., a partner in this proposal. On the basis of analysing previously collected data, machine learning algorithms will be selected for implementation in existing or modified EquiMoves sensor hardware and software solutions. Target applications and follow-ups include: - Improving horse and (disabled) rider interaction for riders of all skill levels; - Objective evidence-based classification system for competitive grading of disabled riders in Para Dressage events; - Identifying biomechanical irregularities for detecting and/or preventing injuries of horses. Topic-wise, the project is connected to “Smart Technologies and Materials”, “High Tech Systems & Materials” and “Digital key technologies”. The core consortium of Saxion University of Applied Sciences, Rosmark Consultancy and Inertia Technology will receive feedback to project progress and outcomes from a panel of international experts (Utrecht University, Sport Horse Health Plan, University of Central Lancashire, Swedish University of Agricultural Sciences), combining a strong mix of expertise on horse and rider biomechanics, veterinary medicine, sensor hardware, data analysis and AI/machine learning algorithm development and implementation, all together presenting a solid collaborative base for derived RAAK-mkb, -publiek and/or -PRO follow-up projects.
