A lot of research into the use of recorded lectures has been done by using surveys or interviews. We will show that triangulation of multiple data sources is needed. We will discuss how students use recorded lectures according to their self-report and what actual usage of the recorded lectures can be derived from the data on the system. We will present the data collections and cover areas where the data can be triangulated to increase the credibility of the results or to question the students' responses. The triangulation shows that we lack data for a number of areas. We will need high-quality surveys and interviews combined with the log data to get a complete picture. We need to be able to link data sets together based on the identification of the individual students, which might raise privacy issues.
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Recorded lectures provide an integral recording of live lectures, enabling students to review those lecture at their own pace and whenever they want. Most research into the use of recorded lectures by students has been done by using surveys or interviews. Our research combines this data with data logged by the recording system. We will present the two data collections and cover areas where the data can be triangulated to increase the credibility of the results or to question the student responses. The results of the triangulation show its value, in that it identifies discrepancies in the students' responses in particular where it concerns their perceptions of the amount of use of the recorded lectures. It also shows that we lack data for a number of other areas. We will still need surveys and interviews to get a complete picture.
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Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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The aim of this study is to investigate the effect of the work environment on produc-tivity and the mediating effect of the ability to communicate and concentrate on work (CoCon), and to contribute to the repertory of qualitative methods and techniques. Qualitative methods in Facility Management (FM) research provide rich information and add to the existing body of knowledge. This study’s strength is that it applies researcher triangulation during data collection and analysis. In this study, 26 semi-structured interviews were conducted at nine different organizations in the Netherlands. Interviews, which focused on productivity in traditional offices and activity-based office environments. These interviews were conducted in pairs by honours students and the author. Rigor application of postpositivistic evaluation criteria results in high construct and internal validity of the study.Data analysis by different researchers revealed serious threats to validity. Hence, interrater agreement (IRA) was measured to assess the degree of agreement between raters. It was found that the effect of the work environment on ability to CoCon was strong. The direct effect of the work environment on productivity was weak, as well as the mediating effect of the ability to CoCon. However, all effects are more distinct in innovative offices, in comparison to traditional offices.Use of productivity as a predictor construct is obsolete. It neglects effectiveness, quality of goods and services, quality of work life and innovation. Qualitative research can overcome this omission by falsification. Reductionism, use of a Computer Aided Qualitative Data Analysis System (CAQDAS), researcher triangulation and newly developed visualisation techniques improve the validity and reliability of the current study. Moreover, rigor application of such methodological techniques is a showcase for FM research and enhances scholarly knowledge. Management implications and directions for future research will be given, e.g. management attention to an integral approach to office innovation and the ability to concentrate at work.
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Current research on data in policy has primarily focused on street-level bureaucrats, neglecting the changes in the work of policy advisors. This research fills this gap by presenting an explorative theoretical understanding of the integration of data, local knowledge and professional expertise in the work of policy advisors. The theoretical perspective we develop builds upon Vickers’s (1995, The Art of Judgment: A Study of Policy Making, Centenary Edition, SAGE) judgments in policymaking. Empirically, we present a case study of a Dutch law enforcement network for preventing and reducing organized crime. Based on interviews, observations, and documents collected in a 13-month ethnographic fieldwork period, we study how policy advisors within this network make their judgments. In contrast with the idea of data as a rationalizing force, our study reveals that how data sources are selected and analyzed for judgments is very much shaped by the existing local and expert knowledge of policy advisors. The weight given to data is highly situational: we found that policy advisors welcome data in scoping the policy issue, but for judgments more closely connected to actual policy interventions, data are given limited value.
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Introduction: There is a lack of effective interventions available for Pediatric Physical Therapists (PPTs) to promote a physically active lifestyle in children with physical disabilities. Participatory design methods (co-design) may be helpful in generating insights and developing intervention prototypes for facilitating a physically active lifestyle in children with physical disabilities (6–12 years). Materials and methods: A multidisciplinary development team of designers, developers, and researchers engaged in a co-design process–together with parents, PPTs, and other relevant stakeholders (such as the Dutch Association of PPTs and care sports connectors). In this design process, the team developed prototypes for interventions during three co-creation sessions, four one-week design sprint, living-lab testing and two triangulation sessions. All available co-design data was structured and analyzed by three researchers independently resulting in themes for facilitating physical activity. Results: The data rendered two specific outcomes, (1) knowledge cards containing the insights collected during the co-design process, and (2) eleven intervention prototypes. Based on the generated insights, the following factors seem important when facilitating a physically active lifestyle: a) stimulating self-efficacy; b) stimulating autonomy; c) focusing on possibilities; d) focusing on the needs of the individual child; e) collaborating with stakeholders; f) connecting with a child's environment; and g) meaningful goal setting. Conclusion: This study shows how a co-design process can be successfully applied to generate insights and develop interventions in pediatric rehabilitation. The designed prototypes facilitate the incorporation of behavioral change techniques into pediatric rehabilitation and offer new opportunities to facilitate a physically active lifestyle in children with physical disabilities by PPTs. While promising, further studies should examine the feasibility and effectivity of these prototypes.
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In this study, a data feedback program to improve teachers’ science and technology (S&T) teaching skills was designed and tested. The aim was to understand whether and how the four design principles underlying this program stimulated the intended teacher support. We examined how teachers in different phases of their career applied and experienced the employed design principles’ key aspects. Eight in-service teachers and eight pre-service teachers attended the data feedback program and kept a logbook in the meantime. Group interviews were held afterwards. Findings show that applying the four employed design principles’ key aspects did support and stimulate in- and pre-service teachers in carrying out data feedback for improving their S&T teaching. However, some key aspects were not applied and/or experienced as intended by all attending teachers. The findings provide possible implications for the development and implementation of professional development programs to support in - and pre-service teachers’ S&T teaching using data feedback.
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The purpose of the research we undertook for this Conference Paper was to investigate whether marketing campaigns for specific types of drinks could be directed towards age cohorts rather than towards intercultural differences between countries. We developed consumer profiles based on drinking motives and drinking behavior by age cohorts. We hypothesized that differences between countries in the youngest age groups are smaller than in the older age groups, where country specific tradition and culture still plays a more prominent role. We, therefore tested, from the data obtained by the COnsumer BEhaviouR Erasmus Network (COBEREN), the hypothesis that the extent to which the age specific profiles differ between countries increases with age. The results confirm our hypothesis that the extent to which drinking motives differ between countries increases with age. Our results suggest that marketing campaigns which are directed towards drinking motives, could best be tailored by age cohort, in particular when it concerns age group 18-37 and more particular for beer, spirits and especially premix drinks. Marketing campaigns for non-alcoholic beverages should be made specific for the British countries and the Western countries, but even more effectively be made specific for the age cohort 18-37.
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The objective of this study was to understand community-dwelling older people’s readiness for receiving telehealth by studying their intention to use videoconferencing and capacities for using digital technology in daily life as indicators. A mixed-method triangulation design was used. First, a cross-sectional survey study was performed to investigate older people’s intention to use videoconferencing, by testing our theoretical framework with a multilevel path analysis (phase 1). Second, for deeper understanding of older people’s actual use of digital technology, qualitative observations of older people executing technological tasks (eg, on a computer, cell phone) were conducted at their homes (phase 2).
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Many students persistently misinterpret histograms. This calls for closer inspection of students’ strategies when interpreting histograms and case-value plots (which look similar but are diferent). Using students’ gaze data, we ask: How and how well do upper secondary pre-university school students estimate and compare arithmetic means of histograms and case-value plots? We designed four item types: two requiring mean estimation and two requiring means comparison. Analysis of gaze data of 50 students (15–19 years old) solving these items was triangulated with data from cued recall. We found five strategies. Two hypothesized most common strategies for estimating means were confirmed: a strategy associated with horizontal gazes and a strategy associated with vertical gazes. A third, new, count-and-compute strategy was found. Two more strategies emerged for comparing means that take specific features of the distribution into account. In about half of the histogram tasks, students used correct strategies. Surprisingly, when comparing two case-value plots, some students used distribution features that are only relevant for histograms, such as symmetry. As several incorrect strategies related to how and where the data and the distribution of these data are depicted in histograms, future interventions should aim at supporting students in understanding these concepts in histograms. A methodological advantage of eye-tracking data collection is that it reveals more details about students’ problem-solving processes than thinking-aloud protocols. We speculate that spatial gaze data can be re-used to substantiate ideas about the sensorimotor origin of learning mathematics.
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