In general, people are poorly protected against cyberthreats, with the main reason being user behaviour. For the study described in this paper, a ques-tionnaire was developed in order to understand how people’s knowledge of and attitude towards both cyberthreats and cyber security controls affect in-tention to adopt cybersecure behaviour. The study divides attitude into a cog-nitive and an affective component. Although only the cognitive component of attitude is usually studied, the results from a questionnaire of 300 respond-ents show that both the affective and cognitive components of attitude have a clearly positive, albeit varying, influence on behavioural intention, with the affective component having an even greater effect on attitude than the cog-nitive aspect. No correlation was found between knowledge and behavioural intention. The results indicate that attitude is an important factor to include when developing behavioural interventions, but also that different kinds of attitude should be addressed differently in interventions.
The past decades have shown an accelerated development of technology-enhanced or digital education. Although an important and recognized precondition for study success, still little attention has been paid to examining how an affective learning climate can be fostered in online training programs. Besides gaining insight into the dynamics of affective learning itself it is of vital importance to know what predicts trainees’ intention to transfer new knowledge and skills to other contexts. The present study investigated the influence of five affective learner characteristics from the transfer literature (learner readiness, motivation to learn, expected positive outcomes, expected negative outcomes, personal capacity) on trainees’ pre-training transfer intention. Participants were 366 adult students enrolled in an online course in information literacy in a distance learning environment. As information literacy is a generic competence, applicable in various contexts, we developed a novel multicontextual transfer perspective and investigated within one single study the influence of the abovementioned variables on pre-training transfer intention for both the students’ Study and Work contexts. The hypothesized model has been tested using structural equation modeling. The results showed that motivation to learn, expected positive personal outcomes, and learner readiness were the strongest predictors. Results also indicated the benefits of gaining pre-training insight into the specific characteristics of multiple transfer contexts, especially when education in generic competences is involved. Instructional designers might enhance study success by taking affective transfer elements and multicontextuality into account when designing digital education.
MULTIFILE
The aim of this study is to investigate the factors affecting the entrepreneurial intention (EI) of university students. In order to do so, EI, individual entrepreneurial orientation, self-efficacy, perceived educational support, perceived relational support, perceived structural support, knowledge sharing, and gender were used within the proposed model, and the constructed hypotheses were evaluated using SEM. The findings of a survey of 268 students show that self-efficacy is the strongest influencer of students’ EI. The findings also show the mediating influence of self-efficacy on the environmental components. Additionally, male students are more likely than female students to have EI.
Alcohol use disorder (AUD) is a pattern of alcohol use that involves having trouble controlling drinking behaviour, even when it causes health issues (addiction) or problems functioning in daily (social and professional) life. Moreover, festivals are a common place where large crowds of festival-goers experience challenges refusing or controlling alcohol and substance use. Studies have shown that interventions at festivals are still very problematic. ARise is the first project that wants to help prevent AUD at festivals using Augmented Reality (AR) as a tool to help people, particular festival visitors, to say no to alcohol (and other substances). ARise is based on the on the first Augmented Reality Exposure Therapy (ARET) in the world that we developed for clinical treatment of AUD. It is an AR smartphone driven application in which (potential) visitors are confronted with virtual humans that will try to seduce the user to accept an alcoholic beverage. These virtual humans are projected in the real physical context (of a festival), using innovative AR glasses. Using intuitive phone, voice and gesture interactions, it allows users to personalize the safe experience by choosing different drinks and virtual humans with different looks and levels of realism. ARET has been successfully developed and tested on (former) AUD patients within a clinical setting. Research with patients and healthcare specialists revealed the wish to further develop ARET as a prevention tool to reach people before being diagnosed with AUD and to extend the application for other substances (smoking and pills). In this project, festival visitors will experience ARise and provide feedback on the following topics: (a) experience, (b) awareness and confidence to refuse alcohol drinks, (c) intention to use ARise, (d) usability & efficiency (the level of realism needed), and (e) ideas on how to extend ARise with new substances.
Dit project heeft tot doel het ontwerp en de exploitatie van lokale energiesystemen te verbeteren voor buurten met een hoge zelfvoorziening en een hoge betrokkenheid van alle betrokken belanghebbenden. In dit project wordt een integrale aanpak toegepast door zowel technische als sociale aspecten mee te nemen.
The purpose of this project was to create a roadmap with selected mechanisms to assist destination management organisations to optimize the benefits generated by tourism for their destination communities and ensure that it is shared equitably. By providing tools to identify and address inequality in terms of access to the benefits and value tourism generates, it is envisaged that a more equitable tourism model can be implemented leading to the fair distribution of benefits in destination communities, potentially increasing the value for previously excluded or underserved groups. To produce the roadmap, the study team will explore the range of challenges that hinder the equitable distribution of tourism-induced benefits in destinations as well as the enabling factors that influence the extent to which this is achieved. The central question the research team has set out to answer is the following: What does an equitable tourism model look like for destination communities?Societal issueHowever, while those directly involved in tourism will gain the most, the burden of hosting visitors is widely felt by local communities. This imbalance has, unsurprisingly, sparked civil mobilisations and protests in destinations around the world. It’s clear that placemaking and benefit-sharing must be part of the future of destination management to maintain public support. This project addressed issues around equity (environmental, economic, spatial, cultural and tourism experience). In line with the intentions set out in the CELTH Agenda Conscious Destinations.Benefit to societyBased on 25 case studies around 40 mechanisms were identified that can grow or better distribute the value from tourism, so that more people in destination communities benefit. These mechanisms are real-world practices already in use. DMOs and NTOs can consider introducing the mechanisms that best fit their destination context, pulling levers such as: taxes and revenue sharing, business incubation and training, licencing and zoning, community enterprises and volunteering, and product development..This report also outlines a pathway to an Equity-Driven Management (EDM) approach, which is grounded in participatory decision-making principles and aims to create a more equitable tourism system by strengthening the hand of destination governance and retaining control of local resources.Collaborative partnersNBTC, the Travel Foundation, Destination Think, CELTH, ETFI, HZ.