Procrastination is one of the most common challenges when it comes to studying and working productively. You may not feel like studying for a while, feel demotivated, become easily distracted, feel tired, or find a certain task difficult. You might also suffer from perfectionism or fear of failure. Perhaps you are a “master procrastinator” and procrastinate with almost all your tasks. If that is the case, you probably could use some advice that will help to permanently change your study behavior. Check out these tips, which are based on scientific insights from cognitive psychology, neuropsychology, educational sciences and our own research.
DOCUMENT
Uitstelgedrag is een van de meest voorkomende problemen als het gaat om productief studeren en werken. Je hebt misschien even geen zin, voelt je gedemotiveerd, bent snel afgeleid, voelt je vermoeid of vindt een bepaalde taak lastig. Ook kun je last hebben van perfectionisme of faalangst. Misschien ben je wel een “meester uitsteller” en stel je bijna al je taken uit. Als dat het geval is, kun je vast wel advies gebruiken om jouw studiegedrag blijvend te veranderen. Bekijk de tips in de infographic. Deze tips zijn gebaseerd op wetenschappelijke inzichten uit de cognitieve psychologie, neuropsychologie, onderwijskunde en eigen onderzoek.
DOCUMENT
Research has pointed out opportunities and research agendas to integrate sustainability issues with supply chain and operations management. However, we find that it is still not mainstream practice to systematically take a sustainability approach in tackling supply chain and operations management issues. In this paper, we make use of behavioral theory to explain the current lack of integration. We conclude through abductive reasoning that the reasons for procrastinating integration of sustainability in supply chain and operations management research are the conflicting nature of the task and the inherent context, which is the focus on operations rather than environmental or social issues.
MULTIFILE
Obtaining credits, studying for exams, attending classes, engaging with fellow students and lecturers, living alone or with others, and taking part in extra-curricular activities: there is a fair amount for students in higher education to take in. There are also numerous external factors — such as the COVID-19 pandemic and the changing labour and housing market — that affect students. However, students experience these situations differently and deal with them in different ways. How can we ensure that, notwithstanding these stress factors and differences, as many students as possible become and remain engaged and energised? Happier students tend to be more engaged and generally achieve better study results.1 That is why student well-being is also a widely researched and important topic. The search is on for measures to promote student well-being and success. Having a clear idea of how things are going for a student and what they need is a starting point. This booklet helps readers to identify different student profiles and understand what is needed to improve student success. We zoom in on two key aspects of student success: engagement and emotional exhaustion.
MULTIFILE
We explored how two types of study outcomes, perceived competence and earned credits, are interrelated, and influenced by self-regulation, motivation (intrinsic value and expectancy of procrastination) and deep approach to learning. The relationships between these variables were analysed in a sample of 894 first-year Dutch university students, using linear structural modelling. Results show that learning process factors play other roles in explaining perceived competence than in explaining earned credits. Perceived competence and earned credits, as two sides of the same coin in competence-based education, are only weakly related. Furthermore, this study shows that it is most likely that perceived competence affects earned credits, but a model in which earned credits affects perceived competence as possible causal relationship was also accepted, although the relationship remains weak. The practical implication of this study is that, as long as perceived competence and the number of credits are not related, competence-based higher education will not obtain optimal efficiency. For participants and researchers in higher education, it remains important to be aware that different learning goals may evoke different study behaviours in students, and the challenge for higher education is to align these goals.
DOCUMENT
Many have suggested that AI-based interventions could enhance learning by personalization, improving teacher effectiveness, or by optimizing educational processes. However, they could also have unintended or unexpected side-effects, such as undermining learning by enabling procrastination, or reducing social interaction by individualizing learning processes. Responsible scientific experiments are required to map both the potential benefits and the side-effects. Current procedures used to screen experiments by research ethics committees do not take the specific risks and dilemmas that AI poses into account. Previous studies identified sixteen conditions that can be used to judge whether trials with experimental technology are responsible. These conditions, however, were not yet translated into practical procedures, nor do they distinguish between the different types of AI applications and risk categories. This paper explores how those conditions could be further specified into procedures that could help facilitate and organize responsible experiments with AI, while differentiating for the different types of AI applications based on their level of automation. The four procedures that we propose are (1) A process of gradual testing (2) Risk- and side-effect detection (3) Explainability and severity, and (4) Democratic oversight. These procedures can be used by researchers and ethics committees to enable responsible experiment with AI interventions in educational settings. Implementation and compliance will require collaboration between researchers, industry, policy makers, and educational institutions.
DOCUMENT
Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N=101) in comparison to students with other health conditions (N=2465) and students with no health conditions (N=25,077). We applied propensity score weighting to balance outcomes. The research showed that autistic students’ academic success was predictable, and these predictions were more accurate than predictions of their peers’ success. For first-year success, study choice issues were the most important predictors (parallel program and application timing). Issues with participation in pre-education (missingness of grades in pre-educational records) and delays at the beginning of autistic students’ studies (reflected in age) were the most influential predictors for the second-year success and delays in the second and final year of their bachelor’s program. In addition, academic performance (average grades) was the strongest predictor for degree completion in 3 years. These insights can enable universities to develop tailored support for autistic students. Using early warning signals from administrative data, institutions can lower dropout risk and increase degree completion for autistic students.
DOCUMENT
Purpose: Preventing business failure remains a significant challenge for small businesses in the Netherlands. Given their importance for the Dutch economy, understanding the causes of business failure and equipping business owners with strategies for resilience is imperative. This dissertation seeks to address this challenge by examining the sales role of business owners, referred to as ‘Entrepreneurial Selling,’ within the context of small-scale Dutch businesses. The goal is to identify how business owners can develop effective sales behaviors to mitigate the risk of failure and enhance the long-term viability of their businesses. The research into Entrepreneurial Selling is rising, yet further advancements, including this dissertation, are required to better support business owners in their continuous sales responsibilities. The main research question, therefore, is: How do small-scale business owners in the Netherlands behave in their Entrepreneurial Selling role and how can they become more effective in their sales behavior? Methods: To address the research question, a multimethod research approach is utilized. The research design comprises a literature review, three progressively linked studies, and practical applications. The first study (Chapter 4) involves a content re-analysis of 55 interviews to underscore the pivotal nature of Entrepreneurial Selling in preventing business failure. The second study (Chapter 5) conducts 12 semi-structured interviews, employing thematic analysis to categorize business owners' sales behaviors based on their entrepreneurial motivations. In the third study (Chapter 6), quantitative methods are employed (N=276) to explore the relationship between Entrepreneurial Selling Role Orientation (ESRO) and effective sales behavior. These studies provide the foundation for the practical applications developed in collaboration with practitioners (Chapter 7).Findings: The first study found that Entrepreneurial Selling is a crucial activity for preventing business failure and one that business owners recognize. Reasons for underperformance can include business owners allocating inadequate time to selling, deficient sales skills, and procrastination of sales activities. The subsequent studies build on this foundation. The second study introduces an Entrepreneurial Selling typology, linking business owners' motivations with their sales role strategies, offering insights into how motivations influence sales behavior. The third study introduces the concept of ESRO and substantiates its impact on sales behavior. Furthermore, a positive connection is identified between sales training and effective sales practices. The findings of the studies are individually applied to Sarasvathy’s Bird-in-Hand principle of Effectuation theory and are synthesized within the Entrepreneurial Selling Matrix. Originality/Value: This dissertation contributes to the Entrepreneurial Selling field by advancing our understanding of the business owners’ sales role in enhancing business resilience. It underscores the connection between ineffective sales practices and business failure and delves deeper by investigating the interplay between entrepreneurial motives and ESRO on sales behavior. Additionally, this study bridges the gap between entrepreneurship- and sales research by applying the Bird-in-Hand principle to business owners' sales behavior. In practical terms, the research's outcomes are twofold. First, it refines the Entrepreneurial Selling Matrix, providing a pragmatic typology that aids sales training practitioners in guiding business owners toward aligning sales behaviors with entrepreneurial goals. Second, it introduces an Entrepreneurial Selling Training Program, accompanied by tools, facilitating sales trainers in evaluating and improving current and desired sales behaviors. This practical approach contributes directly to nurturing resilient and thriving businesses.
DOCUMENT
Op basis van een uitgebreide literatuurstudie, 25 interviews met gebiedspartijen in Midden-Delfland en een aantal multi-stakeholders workshops is in kaart gebracht hoe een gebiedsgerichte aanpak gericht op landschapinclusieve kringlooplandbouw in Midden-Delfland vorm krijgt dan wel versterkt kan worden. Hiervoor is de Transitiebloem-aanpak (TBA) gebruikt als holistische, transdisciplinaire en praktijkgerichte transitiebenadering. Deze benadering helpt gebiedspartijen bij het realiseren van een integrale systeemaanpak en collectief handelingsperspectief gericht op de samenhang van verschillende gebiedsopgaven met betrekking tot landbouw, water, voedsel, bodem, biodiversiteit, energie, klimaat, erfgoed, stadplattelandrelaties en economie.
DOCUMENT
This article describes the relation between mental health and academic performance during the start of college and how AI-enhanced chatbot interventions could prevent both study problems and mental health problems.
DOCUMENT
