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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Teams have the potential to offer greater adaptability, productivity and creativity than any one individual can offer and provide more complex, innovative and comprehensive solutions. This necessitates sharing and developing of knowledge at a team-level, fueling the thinking about and research on team learning. This chapter expands the topic of team learning by synthesizing insights from research on collaborative learning in the learning sciences and on teamwork in the organization sciences. In doing so, it builds on the Integrative Model of Team Learning to present recent developments in empirical work on team learning. Significant phenomena are elaborated: with regard to team learning processes, the role of conflicts and team reflexivity is explained. Next, the role of leadership in teams with regard to team learning is demonstrated. In relation to the emergent states, this chapter focuses on two phenomena that are heavily studied in team research in general, but also show to be significant in describing team learning: psychological safety and team knowledge. Lastly, four research challenges for the field of team learning are identified. The first discusses the consequences of conceptualizing team learning as complex and dynamic for measurement and analysis. The second relates to the fact that current research mainly presents a descriptive or explanatory account of team learning and does not indicate what it implies for interventionist theories. The third concerns the awareness that (the effectiveness of) team learning processes differ depending on the type of task that the team is dealing with. The fourth and last issue zooms in on questions how to prepare the individual team member for team learning.
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There is a wealth of research on computer-supported cooperative work (CSCW) that is neglected in computer-supported collaborative learning (CSCL) research. CSCW research is concerned with contextual factors, however, that may strongly influence collaborative learning processes as well, such as task characteristics, team formation, team members’ abilities and characteristics, and role assignment within a team. Building on a critical analysis of the degree to which research on CSCW translates to CSCL, this article discusses the mediating variables of teamwork processes and the dynamics of learning-teams. Based on work-team effectiveness models, it presents a framework with key variables mediating learning-team effectiveness in either face-to-face or online settings within the perspective of learning-team development.
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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.
The focus of this project is on improving the resilience of hospitality Small and Medium Enterprises (SMEs) by enabling them to take advantage of digitalization tools and data analytics in particular. Hospitality SMEs play an important role in their local community but are vulnerable to shifts in demand. Due to a lack of resources (time, finance, and sometimes knowledge), they do not have sufficient access to data analytics tools that are typically available to larger organizations. The purpose of this project is therefore to develop a prototype infrastructure or ecosystem showcasing how Dutch hospitality SMEs can develop their data analytic capability in such a way that they increase their resilience to shifts in demand. The one year exploration period will be used to assess the feasibility of such an infrastructure and will address technological aspects (e.g. kind of technological platform), process aspects (e.g. prerequisites for collaboration such as confidentiality and safety of data), knowledge aspects (e.g. what knowledge of data analytics do SMEs need and through what medium), and organizational aspects (what kind of cooperation form is necessary and how should it be financed).Societal issueIn the Netherlands, hospitality SMEs such as hotels play an important role in local communities, providing employment opportunities, supporting financially or otherwise local social activities and sports teams (Panteia, 2023). Nevertheless, due to their high fixed cost / low variable business model, hospitality SMEs are vulnerable to shifts in consumer demand (Kokkinou, Mitas, et al., 2023; Koninklijke Horeca Nederland, 2023). This risk could be partially mitigated by using data analytics, to gain visibility over demand, and make data-driven decisions regarding allocation of marketing resources, pricing, procurement, etc…. However, this requires investments in technology, processes, and training that are oftentimes (financially) inaccessible to these small SMEs.Benefit for societyThe proposed study touches upon several key enabling technologies First, key enabling technology participation and co-creation lies at the center of this proposal. The premise is that regional hospitality SMEs can achieve more by combining their knowledge and resources. The proposed project therefore aims to give diverse stakeholders the means and opportunity to collaborate, learn from each other, and work together on a prototype collaboration. The proposed study thereby also contributes to developing knowledge with and for entrepreneurs and to digitalization of the tourism and hospitality sector.Collaborative partnersHZ University of Applied Sciences, Hotel Hulst, Hotel/Restaurant de Belgische Loodsensociëteit, Hotel Zilt, DM Hotels, Hotel Charley's, Juyo Analytics, Impuls Zeeland.
Medewerkers van de Buurtteamorganisatie (BTO) in Utrecht hebben ruimte om zelf een afweging te maken t.a.v. de ondersteuning van een klant. Het aantal casussen met langdurige begeleiding is echter toegenomen in de caseload van de buurtteams. Wat is een goed afwegingskader om tot de juiste inzet te komen?Doel Het project Langdurige begeleiding BTO Utrecht heeft twee doelstellingen: Het ontwikkelingen van een afwegingskader dat medewerkers van de BTO handvatten biedt om tot een goede besluitvorming te komen t.a.v. de intake, ondersteuning en de afronding van een case; Het ontwikkelen van een werkwijze die bijdraagt aan het leervermogen van het buurtteam. Resultaten Een handzame job-aid die zowel het besluitvormingsproces t.a.v. de intake, ondersteuning en afronding van een case ondersteunt als wel het leerproces in het team verder brengt. Looptijd 01 januari 2019 - 15 juni 2021 Aanpak In een ontwikkelwerkplaats (OWP) werken medewerkers van de verschillende buurtteams samen aan een afwegingskader voor de inzet van begeleiding: wat zijn de kritische vragen om tot een goed besluit te komen? En wat is een passende werkwijze binnen een buurtteam om deze vragen te stellen? De ontwikkelde job-aid wordt nu geïmplementeerd door de medewerkers van de Buurtteamorganisatie (BTO). Studenten van de opleiding Social Work monitoren in het kader van hun afstuderen de voortgang.
Lectorate, part of NHL Stenden Hogeschool
