scholarly journals Video analysis in Design-Based Research – Findings of a project on self-organised learning at a vocational school

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Bernd Gössling ◽  
Desirée Daniel

The use of video analysis in Design-Based Research (DBR) seems to be promising, because the quality of video data matches the reality of educational fields. Educational fields are multidimensional and complex. And more than other types of data, video may capture, for example, the simultaneity of verbal and non-verbal interactions. This seems to be valuable in the quest for new insights and better designs of educational interventions. However, to date there has been limited use of video data in researching their design. This paper aims at reflecting how the benefits of video-based analysis may be utilised in DBR. Experiences with the collection and analysis of video data in a project to design self-organised learning (SOL) at a vocational school in Germany will be used as a case study to illustrate the type of findings that may feed into the DBR process. In this case, the project school had already introduced a sophisticated SOL model but was experiencing various implementation difficulties. Resolving issues like this requires insights into how exactly a concept is realised and what happens in the field. Therefore, video data on classroom interactions was gathered and sub-sequently analysed using the documentary method. This led to the reconstruction of two different types of orientation that were guiding the students when they dealt with their self-organised learning environment. In a subversive orientation, students playfully infiltrate the formal learning space with peer activities. In a confirming orientation, students stick to both, the (informal) rules of the (formal) learning arrangement and of the peer environment, thus expressing respect for the boundary between these two worlds. These findings have been used to redesign the SOL intervention.

2020 ◽  
Vol 54 (10) ◽  
pp. 566-572 ◽  
Author(s):  
Sharief Hendricks ◽  
Kevin Till ◽  
Steve den Hollander ◽  
Trevor N Savage ◽  
Simon P Roberts ◽  
...  

Using an expert consensus-based approach, a rugby union Video Analysis Consensus (RUVAC) group was formed to develop a framework for video analysis research in rugby union. The aim of the framework is to improve the consistency of video analysis work in rugby union and help enhance the overall quality of future research in the sport. To reach consensus, a systematic review and Delphi method study design was used. After a systematic search of the literature, 17 articles were used to develop the final framework that described and defined key actions and events in rugby union (rugby). Thereafter, a group of researchers and practitioners with experience and expertise in rugby video analysis formed the RUVAC group. Each member of the group examined the framework of descriptors and definitions and rated their level of agreement on a 5-point agreement Likert scale (1: strongly disagree; 2: disagree; 3: neither agree or disagree; 4: agree; 5: strongly agree). The mean rating of agreement on the five-point scale (1: strongly disagree; 5: strongly agree) was 4.6 (4.3–4.9), 4.6 (4.4–4.9), 4.7 (4.5–4.9), 4.8 (4.6–5.0) and 4.8 (4.6–5.0) for the tackle, ruck, scrum, line-out and maul, respectively. The RUVAC group recommends using this consensus as the starting framework when conducting rugby video analysis research. Which variables to use (if not all) depends on the objectives of the study. Furthermore, the intention of this consensus is to help integrate video data with other data (eg, injury surveillance).


2020 ◽  
Vol 71 (7) ◽  
pp. 868-880
Author(s):  
Nguyen Hong-Quan ◽  
Nguyen Thuy-Binh ◽  
Tran Duc-Long ◽  
Le Thi-Lan

Along with the strong development of camera networks, a video analysis system has been become more and more popular and has been applied in various practical applications. In this paper, we focus on person re-identification (person ReID) task that is a crucial step of video analysis systems. The purpose of person ReID is to associate multiple images of a given person when moving in a non-overlapping camera network. Many efforts have been made to person ReID. However, most of studies on person ReID only deal with well-alignment bounding boxes which are detected manually and considered as the perfect inputs for person ReID. In fact, when building a fully automated person ReID system the quality of the two previous steps that are person detection and tracking may have a strong effect on the person ReID performance. The contribution of this paper are two-folds. First, a unified framework for person ReID based on deep learning models is proposed. In this framework, the coupling of a deep neural network for person detection and a deep-learning-based tracking method is used. Besides, features extracted from an improved ResNet architecture are proposed for person representation to achieve a higher ReID accuracy. Second, our self-built dataset is introduced and employed for evaluation of all three steps in the fully automated person ReID framework.


2020 ◽  
Vol 21 (5) ◽  
pp. 265-271
Author(s):  
Jyotishna Mudaliar ◽  
Bridget Kool ◽  
Janice Natasha ◽  
Judith McCool

Introduction: A barrier to local investigator-led research in low income settings, is the limited availability of personnel with appropriate research skills or qualifications to conduct the type of research required for evidence-informed policy making to improve access and quality of health care. In response to this, Fiji National University’s College of Medicine, Nursing and Health Sciences in Fiji, collaborated with academics based at the University of Auckland, New Zealand to deliver a series of research capacity development workshops in Fiji. Methods: Participants who attended any of the nine workshops (n=123) were contacted via email to take part in a brief survey regarding their perceptions of the effectiveness of the research capacity building workshops. Of the possible 123 participants, 80% (n=76) completed the questionnaire.  Results: Findings demonstrate that the majority of participants reported that they had gained research skills from the workshops (75%) including proposal development skills (68%) and knowledge of appropriate research methods (59%). Furthermore, 70% agreed that the workshops built their research confidence.  Since attending a workshop, 18% of respondents had successfully applied and received funding for research grants and/or fellowships.  Barriers to conduct research included workload (75%), lack of research knowledge, experience or skills (51%), and lack of institutional support (41%). Suggestions for future workshops included: more focus on data analysis, regular courses rather than ‘one offs’, and preparation of research findings (e.g. publications). Conclusion: Our findings indicate that research workshops of this nature may increase individual research capabilities but sustained, locally led initiatives, backed by institutional and supplementary technical support are essential.


Author(s):  
Julie M. Robillard ◽  
Emily Wight

Neuroscience communication is at a turning point, with tremendous opportunity for growth and democratization. The rise of the web and social media as platforms for dissemination of research findings and stakeholder engagement presents both unique opportunities and critical ethical considerations. Online- and mobile-based information and services for brain health may enhance the autonomy of users in health decision-making. However, nonadherence to ethical norms, such as informed consent and conflict of interest by digital content creators, may lead to harm. The challenges of communicating neuroscience in the digital era will require the rejection of the traditional top-down dissemination of research findings by the science community. Communicators must embrace participatory communication models, frame science in non-sensationalized, lay-friendly terms, improve the ethics of online resources and web users’ ability to assess the quality of information and source material, and educate scientists in the importance of transparency and public engagement.


2020 ◽  
Vol 9 (9) ◽  
pp. 155 ◽  
Author(s):  
Sven Ivens ◽  
Monika Oberle

Grounded in a design-based research approach, the aim of this article is to determine whether scientific evaluations help to (a) identify and fix problems in educational interventions and (b) eventually foster a more effective and positive evaluated intervention. Therefore, data from a longer-term evaluation of short digital simulation games about the European Parliament for civic education in schools were used. The data included three cycles of interventions with pre- and post-evaluations starting with the first prototype in 2015/2016 (n = 209), the second cycle in 2017/18 (n = 97), and the last one in 2019/20 (n = 222). After each evaluation, major problems and critiques regarding the simulation game were discussed with the developers, and changes were implemented in the game design. The four most important problems, the processes by which they were improved and the reactions of the participants in the following evaluations are pointed out in the article. A comparison of the last and first evaluation cycle showed an overall improvement of the simulation game regarding its effectiveness in transferring EU knowledge and the participants’ general satisfaction with the simulation game. This study underlines the value of the design-based research approach for developing educational interventions and can be useful for further work on civic education measures and the implementation of digital simulation games.


Author(s):  
Audrey L. Michal ◽  
Yiwen Zhong ◽  
Priti Shah

AbstractToday’s citizens are expected to use evidence, frequently presented in the media, to inform decisions about health, behavior, and public policy. However, science misinformation is ubiquitous in the media, making it difficult to apply research appropriately. Across two experiments, we addressed how anecdotes and prior beliefs impact readers’ ability to both identify flawed science and make appropriate decisions based on flawed science in media articles. Each article described the results of flawed research on one of four educational interventions to improve learning (Experiment 1 included articles about having a tidy classroom and exercising while learning; Experiment 2 included articles about using virtual/augmented reality and napping at school). Experiment 1 tested the impact of a single anecdote and found no significant effect on either participants’ evidence evaluations or decisions to implement the learning interventions. However, participants were more likely to adopt the more plausible intervention (tidy classroom) despite identifying that it was unsupported by the evidence, suggesting effects of prior beliefs. In Experiment 2, we tested whether this intervention effect was driven by differences in beliefs about intervention plausibility and included two additional interventions (virtual reality = high plausible, napping = low plausible). We again found that participants were more likely to implement high plausible than low plausible interventions, and that evidence quality was underweighed as a factor in these decisions. Together, these studies suggest that evidence-based decisions are more strongly determined by prior beliefs than beliefs about the quality of evidence itself.


2020 ◽  
Vol 8 (2) ◽  
pp. e001268
Author(s):  
Angela Koipuram ◽  
Sandra Carroll ◽  
Zubin Punthakee ◽  
Diana Sherifali

IntroductionPersons of South Asian descent have a higher prevalence of type 2 diabetes mellitus (T2DM). The management of T2DM in the South Asian community has required the support of adult children, potentially impacting the quality of life, diabetes-related knowledge, and risk perception among these caregivers.Research design and methodsTo investigate diabetes-related knowledge, quality of life, risk perception, and actual risk of developing diabetes among South Asian young adults whose parents are living with T2DM. A cross-sectional study was conducted (n=150). An online survey was administered. Data were analyzed with descriptive and inferential statistics.ResultsThere was a statistically significant difference in diabetes-related knowledge between males and females (p<0.001). Males (in comparison to females) had a lower risk perception of developing diabetes (p=0.06). Further, risk perception and diabetes-related knowledge were positively associated with caregiver’s physical health (p=0.002).ConclusionFindings highlight the importance of providing gender-specific and culturally tailored diabetes educational interventions.


2004 ◽  
Vol 74 (4) ◽  
pp. 473-524 ◽  
Author(s):  
Mark E. Engberg

This study examines the influence of various educational interventions in higher education on students’ racial bias. The author reviews studies in four principle domains: multicultural courses, diversity workshops and training, peer-based interventions, and service-based interventions. He pays particular attention to the varied approaches, measures, and research designs used to assess the effectiveness of interventions. He concludes with specific recommendations for improving the quality of intervention studies, suggests a conceptual model for explaining student change, and points out gaps in the extant knowledge base. An appendix provides an overview of racial bias measures used in the reviewed studies.


2016 ◽  
Vol 29 (6) ◽  
pp. 1100-1131 ◽  
Author(s):  
Lee D. Parker ◽  
Deryl Northcott

Purpose – The purpose of this paper is to identify and articulate concepts and approaches to qualitative generalisation that will offer qualitative accounting researchers avenues for enhancing and justifying the general applicability of their research findings and conclusions. Design/methodology/approach – The study and arguments draw from multidisciplinary approaches to this issue. The analysis and theorising is based on published qualitative research literatures from the fields of education, health sciences, sociology, information systems, management and marketing, as well as accounting. Findings – The paper develops two overarching generalisation concepts for application by qualitative accounting researchers. These are built upon a number of qualitative generalisation concepts that have emerged in the multidisciplinary literatures. It also articulates strategies for enhancing the generalisability of qualitative accounting research findings. Research limitations/implications – The paper provides qualitative accounting researchers with understandings, arguments and justifications for the generalisability of their research and the related potential for wider accounting and societal contributions. It also articulates the key factors that impact on the quality of research generalisation that qualitative researchers can offer. Originality/value – This paper presents the most comprehensively sourced and developed approach to the concepts, strategies and unique deliverables of qualitative generalising hitherto available in the accounting research literature.


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