Co-teachers verzorgen samen onderwijs aan een groep leerlingen die aan hun zorg zijn toevertrouwd. Uit het promotieonderzoek van Dian Fluijt (docent en projectleider bij het Seminarium voor Orthopedagogiek en onderzoeker bij het Lectoraat Normative Professionalisering) blijkt dat co-teaching een effectieve wijze kan zijn om les te geven aan een hyperdiverse groep en tegelijkertijd tegemoet komt aan de behoefte aan meer handen voor de klas. Uit het onderzoek van Dian blijkt dat een klein netwerk van intensief samenwerkende leraren (co-teaching team) in staat is tot duurzame onderwijsinnovatie, waarvan zowel leerlingen als leraren kunnen profiteren. Het welbevinden van zowel leerlingen als leraren in een co-teaching groep groeit, omdat leerlingen meer aandacht krijgen en leraren hun verantwoordelijkheid kunnen delen. Leerlingen in een co-teaching groep presteren over het algemeen beter. Professionalisering op het gebied van co-teaching, gericht op het verkennen van eigen en gezamenlijke normen, waarden en overtuigingen van co-teachers, het leren om samen goed les te geven en het leren om goed samen te werken, is voorwaarde om co-teaching goed uit te kunnen voeren.
Over the past few decades, education systems, especially in higher education, have been redefined. Such reforms inevitably require reconsideration of operational notions and definitions of quality, along with a number of related concepts. This reconsideration aligns with the core of higher education reforms: improving efficacy and compatibility with emerging social demands while adapting to competitiveness and accountability trends. As primary players in the teaching and learning process, online tutors have a protagonistic role and, therefore, must be equipped with a suitable set of competencies and attributes in addition to content knowledge. This quantitative research aims to analyze the perceptions of 250 online tutors working in European higher education institutions, distributed in 5 knowledge areas: Business, Education, Humanities, Sciences and Health. This descriptive and exploratory nonexperimental study reveals the technological and pedagogical skills and competencies that online tutors consider fundamental for effective online teaching and proposes professional development actions to ensure quality online teaching.
The purpose of this final chapter is twofold: (1) to provide the synthesis of learnings on quality in teaching and teacher education on the basis of the analysis and discussion of the fourteen chapters collected in this monograph, and (2) to discuss implications for future research on quality in teaching and teacher education, policy and practice. In so doing, we ask: What do we know about quality in teaching and teacher education from the collected chapters and how can these findings inform future research, policy and practice in these areas? In order to answer these questions, the chapter is divided into five main parts. In the first part we identify a call that is present in all chapter: to move beyond a reductionist notion of education. In the second part we recognize the growing attention for teaching quality both as a blessing and a burden. In the third part we identify seven key dilemmas that arise from the different chapters. Next we use these dilemmas to identify implications for teacher education practice, policy and research. We conclude this chapter with some final reflections.
The consortium would like to contribute to structural reduction of post-harvest and food losses and food quality improvement in Kenyan avocado and dairy value chains via the application of technical solutions and tools as well as improved chain governance competences in those food chains. The consortium has four types of partners: 1. Universities (2 Kenyan, 4 Dutch), 2. Private sector actors in those chains, 3. Organisations supporting those chains, and 4. Associate partners which support category 1 to 3 partners through co-financing, advice and reflection. The FORQLAB project targets two areas in Kenya for both commodities, a relatively well-developed chain in the central highlands and a less-develop chain in Western-Kenya. The approach is business to business and the selected regions have great potential for uptake of successful chain innovations as outcome of research results. The results are scalable for other fresh and processed product chains via a living lab network approach. The project consists of 5 work packages (WPs): 1. Inventory , status quo and inception, 2. Applied research, 3. Dissemination of research outputs through living lab networks, 4. Translation of project output in curricula and trainings, and 5. Communication among partners and WPs. The applied research will be implemented in cooperation with all partners, whereby students of the consortium universities will conduct most of the field studies and all other partners support and interact depending on the WPs. The expected outcomes are: two knowledge exchange platforms (Living Labs) supported with hands on sustainable food waste reduction implementation plans (agenda strategy); overview and proposals for ready ICT and other tech solutions; communication and teaching materials for universities and TVETs; action perspectives; and knowledge transfer and uptake.
KnowledgeFlows in Marine Spatial Planning - Sharing Innovation in Higher Education(KnowledgeFlows) aims at further enforcing the European higher education community to meet the growing demands for knowledge, skills and innovation within the still emerging field of marine or maritime spatial planning (MSP).Marine Spatial Planning (MSP) is an emerging governmental approach towards a more effective use of the sea. MSP is of great interest in Europe and can be considered a societal process to balance conflicting interests of maritime stakeholders and the marine environment. Many different activities take place at sea, ranging from shipping, fisheries, to offshore wind energy activities. Simultaneously, new and evolving policies focus on strategies to integrate different marine demands in space and resources. MSP is now legally binding in the EU and is much needed approach to manage and organize the use of the sea, while also protecting the environment.KnowledgeFlows will contribute to the development of new innovative approaches to higher education and training on MSP by means of problem-based learning schemes, transdisciplinary collaboration, and advanced e-learning concepts. KnowledgeFlows builds on results from former project outputs (Erasmus+ Strategic Partnership for Marine Spatial Planning SP-MSP), such as the online learning platform MSP Education Arena (https://www.sp-msp.uol.de).The strategic partnership consists of a transnational network of experts both in research and in practice based in the north Atlantic, Baltic Sea and North Sea Regions including Aalborg University (DK, lead partner), The University of Oldenburg (D), the University of Liverpool (U.K.), the University of Nantes (F), the Leibniz Institute for Baltic Sea Research (D), the Breda University of Applied Sciences (NL), University of Ulster (U.K.), and the Finnish Environment Institute (FI). Gothenburg University, also being a higher education organisation, will be associated partner.Furthermore, three international organisations, the Marine Spatial Planning Research Network, the Baltic inter-governmental VASAB and the pan-Nordic Nordregio will be involved in the partnership as associated organisations deeply rooted in the MSP community of practice.The further improvement of curricula, exchange of knowledge and experts, and transparency and recognition of learning outcomes to reach higher qualifications in MSP are key components of KnowledgeFlows. A mutual learning environment for MSP higher education will enable problem-driven innovation among students and their educators from research and governance also involving stakeholders. Related activities on intellectual outputs, multiplier events and lecturing will be carried out by all participating organisations.The intellectual outputs are related to three major contributions to the European higher education landscape:1) an advanced level international topical MSP course (Step-up MSP)2) digital learning facilities and tools (MSP Education Arena)3) designing problem-based learning in MSP (MSP directory)The advanced level inter-institutional topical MSP course will include different teaching and training activities within a problem-based learning environment. Digital learning facilities enabling communication and training will include a further enrichment of the MSP Education Arena platform for students, practitioners and lecturers for including modules forcollaborate learning activities, documentation and dissemination, mobilisation/recruitment, thesis opportunities, placements/internships. Designing problem-based learning in MSP will include topics as; the design of didactics and methods; guidance for lecturers, supervisors and students; evaluation and quality assurance; assessment.Five multiplier events back to back or as part of conferences within the MSP community will be organised to mainstream the outputs and innovative MSP didactics among other universities and institutions.Different teaching and training activities feeds into the intellectual output activities, which will include serious gaming sessions (MSP Challenge (http://www.mspchallenge.info/) and others), workshops, excursions, courses/classes as well as a conference with a specific focus on facilitating the exchange of innovative ideas and approaches among students at bachelor´s, master´s and doctoral level and the MSP community of practice.Project management meetings (twice a year) will assure coherence in project planning and implementation. As the core focus of the strategic partnership is on collaboration, mutual learning, and innovation among educators, students, and practitioners in order to meet actual and future needs regarding knowledge exchange and training within the MSP community, the project will be designed to have long lasting effects.Results
Examining in-class activities to facilitate academic achievement in higher educationThere is an increasing interest in how to create an effective and comfortable indoor environment for lecturers and students in higher education. To achieve evidence-based improvements in the indoor environmental quality (IEQ) of higher education learning environments, this research aimed to gain new knowledge for creating optimal indoor environmental conditions that best facilitate in-class activities, i.e. teaching and learning, and foster academic achievement. The academic performance of lecturers and students is subdivided into short-term academic performance, for example, during a lecture and long-term academic performance, during an academic course or year, for example. First, a systematic literature review was conducted to reveal the effect of indoor environmental quality in classrooms in higher education on the quality of teaching, the quality of learning, and students’ academic achievement. With the information gathered on the applied methods during the literature review, a systematic approach was developed and validated to capture the effect of the IEQ on the main outcomes. This approach enables research that aims to examine the effect of all four IEQ parameters, indoor air quality, thermal conditions, lighting conditions, and acoustic conditions on students’ perceptions, responses, and short-term academic performance in the context of higher education classrooms. Next, a field experiment was conducted, applying the validated systematic approach, to explore the effect of multiple indoor environmental parameters on students and their short-term academic performance in higher education. Finally, a qualitative case study gathered lecturers’ and students’ perceptions related to the IEQ. Furthermore, how these users interact with the environment to maintain an acceptable IEQ was studied.During the systematic literature review, multiple scientific databases were searched to identify relevant scientific evidence. After the screening process, 21 publications were included. The collected evidence showed that IEQ can contribute positively to students’ academic achievement. However, it can also affect the performance of students negatively, even if the IEQ meets current standards for classrooms’ IEQ conditions. Not one optimal IEQ was identified after studying the evidence. Indoor environmental conditions in which students perform at their best differ and are task depended, indicating that classrooms should facilitate multiple indoor environmental conditions. Furthermore, the evidence provides practical information for improving the design of experimental studies, helps researchers in identifying relevant parameters, and lists methods to examine the influence of the IEQ on users.The measurement methods deduced from the included studies of the literature review, were used for the development of a systematic approach measuring classroom IEQ and students’ perceived IEQ, internal responses, and short-term academic performance. This approach allowed studying the effect of multiple IEQ parameters simultaneously and was tested in a pilot study during a regular academic course. The perceptions, internal responses, and short-term academic performance of participating students were measured. The results show associations between natural variations of the IEQ and students’ perceptions. These perceptions were associated with their physiological and cognitive responses. Furthermore, students’ perceived cognitive responses were associated with their short-term academic performance. These observed associations confirm the construct validity of the composed systematic approach. This systematic approach was then applied in a field experiment, to explore the effect of multiple indoor environmental parameters on students and their short-term academic performance in higher education. A field study, with a between-groups experimental design, was conducted during a regular academic course in 2020-2021 to analyze the effect of different acoustic, lighting, and indoor air quality (IAQ) conditions. First, the reverberation time was manipulated to 0.4 s in the intervention condition (control condition 0.6 s). Second, the horizontal illuminance level was raised from 500 to 750 lx in the intervention condition (control condition 500 lx). These conditions correspond with quality class A (intervention condition) and B (control condition), specified in Dutch IEQ guidelines for school buildings (2015). Third, the IAQ, which was ~1100 ppm carbon dioxide (CO2), as a proxy for IAQ, was improved to CO2 concentrations under 800 ppm, meeting quality class A in both conditions. Students’ perceptions were measured during seven campaigns with a questionnaire; their actual cognitive and short-term academic performances were evaluated with validated tests and an academic test, composed by the lecturer, as a subject-matter-expert on the taught topic, covered subjects discussed during the lecture. From 201 students 527 responses were collected and analyzed. A reduced RT in combination with raised HI improved students’ perceptions of the lighting environment, internal responses, and quality of learning. However, this experimental condition negatively influenced students’ ability to solve problems, while students' content-related test scores were not influenced. This shows that although quality class A conditions for RT and HI improved students’ perceptions, it did not influence their short-term academic performance. Furthermore, the benefits of reduced RT in combination with raised HI were not observed in improved IAQ conditions. Whether the sequential order of the experimental conditions is relevant in inducing these effects and/or whether improving two parameters is already beneficial, is unknownFinally, a qualitative case study explored lecturers’ and students’ perceptions of the IEQ of classrooms, which are suitable to give tutorials with a maximum capacity of about 30 students. Furthermore, how lecturers and students interact with this indoor environment to maintain an acceptable IEQ was examined. Eleven lecturers of the Hanze University of Applied Sciences (UAS), located in the northern part of the Netherlands, and twenty-four of its students participated in three focus group discussions. The findings show that lecturers and students experience poor thermal, lighting, acoustic, and IAQ conditions which may influence teaching and learning performance. Furthermore, maintaining acceptable thermal and IAQ conditions was difficult for lecturers as opening windows or doors caused noise disturbances. In uncomfortable conditions, lecturers may decide to pause earlier or shorten a lecture. When students experienced discomfort, it may affect their ability to concentrate, their emotional status, and their quality of learning. Acceptable air and thermal conditions in classrooms will mitigate the need to open windows and doors. This allows lecturers to keep doors and windows closed, combining better classroom conditions with neither noise disturbances nor related distractions. Designers and engineers should take these end users’ perceptions into account, often monitored by facility management (FM), during the renovation or construction of university buildings to achieve optimal IEQ conditions in higher education classrooms.The results of these four studies indicate that there is not a one-size fits all indoor environmental quality to facilitate optimal in-class activities. Classrooms’ thermal environment should be effectively controlled with the option of a local (manual) intervention. Classrooms’ lighting conditions should also be adjustable, both in light color and light intensity. This enables lecturers to adjust the indoor environment to facilitate in-class activities optimally. Lecturers must be informed by the building operator, for example, professionals of the Facility Department, how to change classrooms’ IEQ settings. And this may differ per classroom because each building, in which the classroom is located, is operated differently apart from the classroom location in the building, exposure to the environment, and its use. The knowledge that has come available from this study, shows that optimal indoor environmental conditions can positively influence lecturers’ and students’ comfort, health, emotional balance, and performance. These outcomes have the capacity to contribute to an improved school climate and thus academic achievement.
