Educational institutions in higher education encounter different thresholds when scaling up to institution-wide learning analytics. This doctoral research focuses on designing a model of capabilities that institutions need to develop in order to remove these barriers and thus maximise the benefits of learning analytics.
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Full tekst beschikbaar voor gebruikers van Linkedin. Driven by technological innovations such as cloud and mobile computing, big data, artificial intelligence, sensors, intelligent manufacturing, robots and drones, the foundations of organizations and sectors are changing rapidly. Many organizations do not yet have the skills needed to generate insights from data and to use data effectively. The success of analytics in an organization is not only determined by data scientists, but by cross-functional teams consisting of data engineers, data architects, data visualization experts, and ("perhaps most important"), Analytics Translators.
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We use a randomised experiment to study the effect of offering half of 556 freshman students a learning analytics dashboard and a weekly email with a link to their dashboard, on student behaviour in the online environment and final exam performance. The dashboard shows their online progress in the learning management systems, their predicted chance of passing, their predicted grade and their online intermediate performance compared with the total cohort. The email with dashboard access, as well as dashboard use, has positive effects on student behaviour in the online environment, but no effects are found on student performance in the final exam of the programming course. However, we do find differential effects by specialisation and student characteristics.
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Naast de grote voordelen van social media, zijn er ook risico’s. Jongeren moeten zich veilig kunnen voelen in het digitale domein. Daarom is het belangrijk dat ze leren wat de impact is van hatelijke, discriminerende en schadelijke berichten op social media en wat ze ertegen kunnen doen.Doel Doel van dit project is jongeren bewust maken van de negatieve effecten van online hate speech via video workshops en hen te leren om hate speech te herkennen en daar adequaat mee om te gaan. Resultaten Het project levert de volgende resultaten op: Lesstof en workshops over hate speech Een interactieve game over hate speech Een doorlopende leerlijn (praktijk – VWO, alle niveaus en leerjaren) over hate speech Looptijd 01 december 2019 - 30 juni 2022 Aanpak Na het uitvoeren van onderzoek naar online hate speech, wordt er lesmateriaal en een workshop ontwikkeld. Na het draaien van een pilot worden de workshops breed uitgerold bij in totaal zo’n 6000 leerlingen. Met behulp van learning analytics, observaties en interviews meten we het effect van de workshops. Cofinanciering Dit project wordt gefinancierd door het Ministerie van Justitie & Veiligheid.
Naast de grote voordelen van social media, zijn er ook risico’s. Jongeren moeten zich veilig kunnen voelen in het digitale domein. Daarom is het belangrijk dat ze leren wat de impact is van hatelijke, discriminerende en schadelijke berichten op social media en wat ze ertegen kunnen doen.
Electronic Sports (esports) is a form of digital entertainment, referred to as "an organised and competitive approach to playing computer games". Its popularity is growing rapidly as a result of an increased prevalence of online gaming, accessibility to technology and access to elite competition.Esports teams are always looking to improve their performance, but with fast-paced interaction, it can be difficult to establish where and how performance can be improved. While qualitative methods are commonly employed and effective, their widespread use provides little differentiation among competitors and struggles with pinpointing specific issues during fast interactions. This is where recent developments in both wearable sensor technology and machine learning can offer a solution. They enable a deep dive into player reactions and strategies, offering insights that surpass traditional qualitative coaching techniquesBy combining insights from gameplay data, team communication data, physiological measurements, and visual tracking, this project aims to develop comprehensive tools that coaches and players can use to gain insight into the performance of individual players and teams, thereby aiming to improve competitive outcomes. Societal IssueAt a societal level, the project aims to revolutionize esports coaching and performance analysis, providing teams with a multi-faceted view of their gameplay. The success of this project could lead to widespread adoption of similar technologies in other competitive fields. At a scientific level, the project could be the starting point for establishing and maintaining further collaboration within the Dutch esports research domain. It will enhance the contribution from Dutch universities to esports research and foster discussions on optimizing coaching and performance analytics. In addition, the study into capturing and analysing gameplay and player data can help deepen our understanding into the intricacies and complexities of teamwork and team performance in high-paced situations/environments. Collaborating partnersTilburg University, Breda Guardians.
