Een bekend probleem: je hebt je net op een nieuwe dienst geabonneerd of een nieuw apparaat gekocht en je krijgt bepaalde functies niet aan de praat. Of, je hebt een nieuw softwarepakket aangeschaft, dit op je PC geïnstalleerd en er duikt allerlei narigheid op. Bijvoorbeeld, die handige integratie van het net gekochte elektronische woordenboek met Microsoft Office op je Windows XP-machine komt niet tot stand. Erger nog: Office gedraagt zich plotseling instabiel. Hoe los je als gebruiker dit soort problemen op? De dienstinstructies, de handleiding van het apparaat of de helpfuncties van de softwarepakketten bieden geen uitkomst. In FAQ’s zoeken op de websites van leveranciers en producenten levert ook geen antwoord op. Bellen met helpdesks en de winkel geeft na vele minuten van irritante wachtkamermuziek ook geen uitkomst. E-mailen leidt uitsluitend tot nietszeggende, door een mailrobot vervaardigde antwoorden. Of tot helemaal geen antwoord. Kortom: dit moet beter kunnen. En anders bedenk je je een volgende keer minstens tien keer of je die nieuwe dienst, dat nieuwe apparaat of dat nieuwe softwarepakket eigenlijk wel wilt hebben.
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Design education has a nuanced relationship with examples. Although they are considered useful teaching tools, their use is often restricted to illustrating the design theories and principles around which the curriculum is structured. In contrast, professional designers view examples as autonomous entities and use them to initiate a critical dialogue with their current problem space. Therefore, students should be facilitated in cultivating their own repertoire of solutions and learn to initiate conversations between existing solutions and design challenges to gain a better understanding of the problem space and generate new designs. This paper outlines a small-scale experiment conducted with master's students in Applied Data Science at Utrecht University who took a course on designing recommender system interfaces. The students were provided with a set of examples of recommender interface designs as their main instructional tool. They could use this set to curate their own solution repertoire. As a result, the majority of the participants' work displayed more diverse designs, and they used design patterns distilled from those examples generatively, developing innovative designs. Based on this case study, we tentatively conclude that a design curriculum built around examples, complemented by theories, could be advantageous, as long as special attention is given to helping students initiate fruitful iterations between their challenges and a set of solutions.
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Dit hoofdstuk uit een inmiddels verschenen boek bespreekt de terminologie en functie van een aantal bij e-learning veelgebruikte typen softwaresystemen.
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Weblogs en wiki's zijn lichtgewicht applicaties en kunnen los van elkaar ingezet worden, maar ze gaan ook heel goed samen. Er is sprake van een duidelijke samenhang tussen de functionaliteiten van weblogs en wiki's. Weblogs zijn namelijk uitermate geschikt voor het communiceren van actuele dynamische content (nieuws), een wiki kan daarbij fungeren als aanvullende documentatie- of naslagruimte (achtergronden). En dan is er, niet te vergeten, nog het rss-protocol. Dit werkt als bindmiddel voor de content van beide systemen, het is de centrale schakel tussen zenders en ontvangers van informatie. Wiki's worden door de enorme hype rondom weblogs enigszins overschaduwd, maar zeker in bedrijfsomgevingen zijn wiki's uitermate geschikt voor collectieve taken.
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Described are the results of an investigation in the appreciation of distance learning, limited to a case study with an online lab-experiment. Together with other educational institutes and companies Fontys University of Applied Sciences participated in a number of projects in which distance learning courses were developed. Some courses have been integrated in the regular curriculum. Our study was set up to get insight into the appreciation of students for this way of learning, especially concerning online lab-experiments. By using surveys and interviews after the students accomplished either a regular course or a distance learning course on the same object we tried to get a better understanding of how students used the course and appreciated it. Also we wanted to know whether an online lab-experiment is more or less effective than a regular one. Preliminary data analyses have shown that the appreciation of an online lab-experiment is dependent on a number of items, like the educational contents of the experiment itself, the way accompanying theory is presented, possibilities of doing the experiment in an alternative way, the organization around the experiment etc. It appears also that students give serious suggestions on developing other online lab-experiments.
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This paper describes the participatory development process of a web-based communication system focusing on disease management, particularly infection control of Methicillin-resistant Staphylococcus aureus (MRSA). These infections are becoming a major public health issue; they can have serious consequences such as pneumonia, sepsis or death [1]. This makes it even more important for people to be provided with up-to-date and reliable information. Users of a bilingual communication system (Dutch and German) participated in the development process via a needs assessment, the co-creation of the content and the system via usability tests, and in the summative evaluation of the usage of the system. The system enabled users to search efficiently and effectively for practical and relevant information. Moreover, we found that the participation of the intended users is a prerequisite to create a fit between the needs and expectations of the end-users, the technology and the social context of usage of technology. The summative evaluation showed that the system was frequently used (approximately 11,000 unique visitors per month). The most popular categories include ‘MRSA in general’ (20%, both languages) and ‘Acquiring MRSA’ (17% NL, 13% GER). Most users enter the site using internet search engines (Google) instead of the on-site search engine. When they are on the site, they prefer convenient searching via FAQ or related questions. Furthermore, the results showed that the participation of stakeholders is a prerequisite for a successful implementation of the system. To guide the participation of stakeholders we developed a roadmap that integrates human-centered development with business modelling activities.
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In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. This second article addresses FAQs about context, research questions and designs. Qualitative research takes into account the natural contexts in which individuals or groups function to provide an in-depth understanding of real-world problems. The research questions are generally broad and open to unexpected findings. The choice of a qualitative design primarily depends on the nature of the research problem, the research question(s) and the scientific knowledge one seeks. Ethnography, phenomenology and grounded theory are considered to represent the ‘big three’ qualitative approaches. Theory guides the researcher through the research process by providing a ‘lens’ to look at the phenomenon under study. Since qualitative researchers and the participants of their studies interact in a social process, researchers influence the research process. The first article described the key features of qualitative research, the third article will focus on sampling, data collection and analysis, while the last article focuses on trustworthiness and publishing.
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In the course of our supervisory work over the years we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The first article provides an introduction to this series. The second article focused on context, research questions and designs. The third article focused on sampling, data collection and analysis. This fourth article addresses FAQs about trustworthiness and publishing. Quality criteria for all qualitative research are credibility, transferability, dependability, and confirmability. Reflexivity is an integral part of ensuring the transparency and quality of qualitative research. Writing a qualitative research article reflects the iterative nature of the qualitative research process: data analysis continues while writing. A qualitative research article is mostly narrative and tends to be longer than a quantitative paper, and sometimes requires a different structure. Editors essentially use the criteria: is it new, is it true, is it relevant? An effective cover letter enhances confidence in the newness, trueness and relevance, and explains why your study required a qualitative design. It provides information about the way you applied quality criteria or a checklist, and you can attach the checklist to the manuscript.
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In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The second article focused on context, research questions and designs, and referred to publications for further reading. This third article addresses FAQs about sampling, data collection and analysis. The data collection plan needs to be broadly defined and open at first, and become flexible during data collection. Sampling strategies should be chosen in such a way that they yield rich information and are consistent with the methodological approach used. Data saturation determines sample size and will be different for each study. The most commonly used data collection methods are participant observation, face-to-face in-depth interviews and focus group discussions. Analyses in ethnographic, phenomenological, grounded theory, and content analysis studies yield different narrative findings: a detailed description of a culture, the essence of the lived experience, a theory, and a descriptive summary, respectively. The fourth and final article will focus on trustworthiness and publishing qualitative research.
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Person-centered care interventions can improve the quality of life and decrease behavioral problems of people with dementia. Although not convincingly proven, person-centered care interventions may benefit the caregivers as well. This study aims to gain insight into how working with the Veder Contact Method (VCM) – a new person-centered care method – influences the job satisfaction of caregivers.
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