In this paper we present our research on learning in event organizations since we haveconcluded that there is no research on this topic. We have chosen a qualitative researchstrategy with multiple case studies where we used semi-structured interviews to go into depthin the event organizations we have studied. The research overview highlights the problem oflearning in organizations today and that organizations must learn to survive and to create acompetitive edge in the industry in which they are operating. Learning in organizationsdepends on their employees and if they may not develop within the organization they will notbecome further motivated. Our research shows that event organizations learn subsequentlyand take the situation as it comes through learning by doing primarily.Research shows that individuals learn different, and our study therefore indicates that theremust be leadership that is adapted to different situations and different learning styles. As theevent industry is time-pressed, a fully customized system will not be sustainable to managemeeting the demands of the market. Today, systems and tools for learning are inadequate toadapt to this fast-changing environment in which the organizations live. We have combinedsystems and tools that together create a more adaptable system for the time-pressed eventorganization.The system deals with an understanding of which situation the employee is in and whichpreferred way it wants to learn and thus the manager can adapt to this to get the maximumoutcome of learning. This will help managers in event organizations to better understand theiremployees, motivate them to a greater extent, thereby creating competitive advantages for thecompany. As the manager is time-pressed, our study also shows that collective learning isimportant for the effectiveness of the organization's learning. In this way, the manager doesnot always have to be the driving force in learning. Our research shows that technologicalsolutions will help the time-pressed organization to create a more collective learning and amore sustainable solution, as this is a more time-efficient tool for sharing knowledge. Whatwe present here is a contribution with a theoretical solution that is also practically feasible,unlike several previous theories.This study is written in Swedish. / I denna uppsats framför vi vår forskning om lärande i evenemangsorganisationer då vi sett attdet saknas forskning kring detta ämne. Vi har valt en kvalitativ forskningsstrategi medmultipla fallstudier där vi använt semistrukturerade intervjuer för att gå på djupet i deevenemangsorganisationer som vi studerat. Forskningsöversikten lyfter fram problematikenkring lärande i organisationer idag och att organisationer måste lära sig för att överleva ochför att skapa sig en konkurrensfördel i den bransch den befinner sig i. Lärandet iorganisationer är beroende av dess medarbetare och får inte dessa utvecklas inomorganisationen så blir de inte heller motiverade. Vår forskning visar attevenemangsorganisationer idag lär sig efterhand och tar situationen som den kommer genomlearning by doing främst.Forskning visar att individer lär sig olika och vår studie visar på att det måste finnas ettledarskap som är anpassat för olika situationer och olika lärstilar. Eftersomevenemangsbranschen är tidspressad blir därmed ett helt individanpassat system inte hållbartför att klara av att möta dess omvärld. Idag är de system och verktyg som finns för lärande iorganisationer bristande för att anpassas till denna snabbt föränderliga omvärld somorganisationer lever i. Därmed har vi kombinerat system och verktyg, situationsanpassatledarskap samt VARK och teknologi, som tillsammans skapar ett mer anpassningsbart systemför den tidspressade evenemangsorganisationen.Systemet handlar om en förståelse för vilken situation medarbetaren befinner sig i och vilketföredraget sätt den vill lära sig och därmed kan chefen anpassa sig till detta för att få ettmaximalt utfall av lärande. Detta kommer att hjälpa chefer i evenemangsorganisationer attförstå sina medarbetare bättre, motivera dem i större utsträckning och därigenom skapakonkurrensfördelar för företaget. Då chefen är tidspressad visar vår studie även att ettkollektivt lärande är av vikt för att effektivisera organisationens lärande. På så sätt behöverinte chefen alltid vara den drivande faktorn i lärandet. Vår forskning visar att teknologiskalösningar hjälper den tidspressade organisationen för att skapa ett mer kollektivt lärande ochen mer hållbar lösning då detta är ett mer tidseffektivt verktyg för att dela kunskap. Vi bidrarhär med en teoretisk lösning som även blir praktiskt genomförbar till skillnad från fleratidigare teorier.

The recent release of AI tools for public use allows for the development of novel teaching approaches for goals that often present challenges in the classroom, such as the need for personalized learning materials. The current study enlists a four-week ChatGPT-based personalized learning intervention in tandem with a teacher questionnaire and interviews in two upper-secondary schools in Southern Sweden to investigate English teacher perceptions of the benefits and challenges of using AI for personalized language learning. In addition, the intervention investigates the potential effectiveness of personalized learning assignments using ChatGPT on the development of students’ grammar abilities in a specific, local classroom context to both address a local need at the school in question and to serve as a proof of concept for more broad-based, future research on the use of these tools for this purpose. The questionnaire revealed that teachers initially had some concerns regarding the accuracy, reliability, and practical implementation of such tools. However, the intervention was found to significantly reduce grammar errors in student writing, and in follow-up interviews, teachers reported feeling more receptive to such approaches after interacting with the tools and seeing the beneficial results. These findings demonstrate that teachers may be hesitant to implement AI tools, which underscores the importance of training and first-hand use for promoting their successful adoption into pedagogical practices. In addition, the findings suggest that AI-based tools for personalized language learning may also be successful in a broader educational context. Finally, certain limitations, such as the small sample size, are acknowledged which emphasizes that further research is necessary to acquire a more comprehensive understanding of personalized learning using AI-based tools like ChatGPT.

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