scholarly journals Interaction online: Above and beyond requirements of assessment

2002 ◽  
Vol 18 (1) ◽  
Author(s):  
Meg O'Reilly ◽  
Diane Newton

<span>Today's literature is filled with new paradigms for learning, specifically in relation to the increasing adoption of computer mediated techniques for interactive learning. In many cases, learning may now be enhanced through the experience of a shared online environment for critical discussion, knowledge building and the establishment of supportive social communities. Research data obtained from social science students at Southern Cross University over two semesters reveals students' perceptions of the importance of online discussion whether these are assessable or not. This paper presents some findings and explores the impact of the emergence of a student-centred social learning environment.</span>

2020 ◽  
Vol 44 (3) ◽  
Author(s):  
André Förster ◽  
Kerrin Borschewski ◽  
Sharon Bolton ◽  
Taina Jääskeläinen

Accompanying the growing importance of research data management, the provision and maintenance of metadata – understood as data about (research) data – have obtained a key role in contextualizing, understanding, and preserving research data. Acknowledging the importance of metadata in the social sciences, the Consortium of European Social Science Data Archives started the Metadata Office project in 2019. This project report presents the various activities of the Metadata Office (MDO). Metadata models, schema, controlled vocabularies and thesauri are covered, including the MDO’s collaboration with the DDI Alliance on multilingual translations of DDI vocabularies for CESSDA Service Providers. The report also summarizes the communication, training and advice provided by MDO, including DDI use across CESSDA, illustrates the impact of the project for the social science and research data management community, and offers an outline regarding future plans of the project.


Numeracy ◽  
2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Charlotte Brookfield ◽  
Malcolm Williams ◽  
Luke Sloan ◽  
Emily Maule

In 2012, in a bid to improve the quantitative methods training of social science students in the UK, the £19.5 million Q-Step project was launched. This investment demonstrated a significant commitment to changing how we train social science students in quantitative research methods in the UK. The project has involved eighteen higher education institutions exploring and trialling potential ways of engaging social science students with quantitative approaches. This paper reflects on the activities of one Q-Step centre based in the School of Social Sciences at Cardiff University. As well as describing some of the pedagogic changes that have been implemented, the paper draws on data to begin to evaluate the success of new approaches. Specifically, data showing the proportion of students undertaking a quantitative final-year dissertation project is used to measure the impact of these activities. The data presented in this paper suggest that resistance to learning quantitative research methods and engaging with such techniques has decreased. The data also indicates that students see this learning as beneficial for their own employability. Despite this, closer analysis reveals that several students change their mind about employing quantitative methods in their own research part way through their dissertation journey. We argue that while social science students are comfortable learning about quantitative approaches, they are less confident at applying these techniques. Thus, the paper argues that there is a wider challenge of demonstrating the relevance and appropriateness of such approaches to understanding the social world.


2019 ◽  
Vol 10 (2-3) ◽  
pp. 142-155
Author(s):  
James P. Anglin ◽  
Angela Scott

Seldom do researchers comment on or discuss in their publications the impact of their research on themselves, nor do they explore the impact of their emotions on their research data gathering or findings. The authors provide excerpts from two of their own research studies to illustrate some of the personal dimensions which they, along with George Devereux, claim are central and significant in the process of social science research. We suggest that is it is important to introduce new researchers to the psychoemotional dimensions of the researcher’s own experiences in the research process in order to both sensitize them to potential research findings (often hidden), and prepare them for the possible (even likely) impacts on themselves as researchers, professionals, and human beings.


2017 ◽  
Vol 5 (3) ◽  
pp. 307
Author(s):  
Deden Kusdinar

Based on the author's experience teaching for this in SD Negeri 010 Banjar PanjangKerumutan, and based on observation and early reflections by the author seen low creativityof students in learning that ultimately ends up in the low student learning outcomesthemselves, especially on the subjects of Natural Sciences. After many tests on the midtermturns lower student learning outcomes. Completeness class only reach 50% or 10 out of 20students, KKM for subjects of Natural Sciences which has been set in the class IV SD Negeri010 Banjar Panjang Kerumutan is the number 70. As Judge things that cause children lowvalue, from the aspect of teachers are: teacher always using methods lectures, learningachievement of children have been considered equally by teachers, and the learning processis dominated by the teacher. This research is a classroom action research (PTK). Class actionresearch through the stages of planning, implementation, observation and reflection. Fromthe research data is a result of learning of natural science at the top can be seen learningoutcome science students from the action on the preliminary data for the first cycle to thesecond cycle by improving student learning outcomes that menigkat are significant, the initialdata of students who achieve mastery only 50 % and cycle to the first increase has reached70% and the thoroughness of the class in the second cycle reaches 85%.


2016 ◽  
Vol 12 (2-3) ◽  
Author(s):  
Marianna Zummo

This paper questions the nature of the communicative event that takes place in online contexts between doctors and web-users, showing computer-mediated linguistic norms and discussing the nature of the participants’ roles. Based on an analysis of 1005 posts occurring between doctors and the users of health service websites, I analyse how doctor–patient communication is affected by the medium and how health professionals overcome issues concerning the virtual medical visit. Results suggest that (a) online medical answers offer a different service from that expected by users, as doctors cannot always fulfill patient requests, and (b) net consultations use aspects of traditional doctor–patient exchange and yet present a language and a style that are affected by the computer-mediated environment. Additionally, it seems that this new form leads to a different model of doctor–patient relationship. The findings are intended to provide new insights into web-based discourse in doctor–patient communication and to demonstrate the emergence of a new style in medical communication.


Antioxidants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 188
Author(s):  
Małgorzata Makarewicz ◽  
Iwona Drożdż ◽  
Tomasz Tarko ◽  
Aleksandra Duda-Chodak

This review presents the comprehensive knowledge about the bidirectional relationship between polyphenols and the gut microbiome. The first part is related to polyphenols’ impacts on various microorganisms, especially bacteria, and their influence on intestinal pathogens. The research data on the mechanisms of polyphenol action were collected together and organized. The impact of various polyphenols groups on intestinal bacteria both on the whole “microbiota” and on particular species, including probiotics, are presented. Moreover, the impact of polyphenols present in food (bound to the matrix) was compared with the purified polyphenols (such as in dietary supplements) as well as polyphenols in the form of derivatives (such as glycosides) with those in the form of aglycones. The second part of the paper discusses in detail the mechanisms (pathways) and the role of bacterial biotransformation of the most important groups of polyphenols, including the production of bioactive metabolites with a significant impact on the human organism (both positive and negative).


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 168.2-168
Author(s):  
L. Wagner ◽  
S. Sestini ◽  
C. Brown ◽  
A. Finglas ◽  
R. Francisco ◽  
...  

Background:Inborn metabolic disorders (IMDs) currently encompass more than 1,500 diseases with new ones still to be identified1. Each of them is characterised by a genetic defect affecting a metabolic pathway. Only few of them have curative treatments, that target the respective metabolic pathway. Commonly, treatment examples include diet, substrate reduction therapies, enzyme replacement therapies, gene therapy and biologicals, enabling IMD-patient now to survive to adulthood. About 30 % of all IMDs involve the musculoskeletal system and are here referred to as rare metabolic RMDs. Generally, IMDs are very heterogenous with respect to symptoms and severity, often being systemic and affecting more children than adults. Thus, challenges include certified advanced training of adult metabolic experts, standardised transition plans, social support and development of therapies for diseases that do not have any cure yet.Objectives:Introduction of MetabERN, its structure and objectives, highlighting on the unique features and challenges of metabolic RMDs and describing the involvement of patient representation in MetabERN.Methods:MetabERN is stratified in 7 subnetworks (SNW) according to the respective metabolic pathways and 9 work packages (WP), including administration, dissemination, guidelines, virtual counselling framework, research/clinical trials, continuity of care, education and patient involvement. The patient board involves a steering committee and single point of contacts for each subnetwork and work package, respectively2. Projects include identifying the need of implementing social science to assess the psycho-socio-economic burden of IMDs, webinars on IMDs and their transition as well as surveys on the impact of COVID-193 on IMD-patients and health care providers (HCPs), social assistance for IMD-patients and analysing the transition landscape within Europe.Results:The MetabERN structure enables bundling of expertise, capacity building and knowledge transfer for faster diagnosis and better health care. Rare metabolic RMDs are present in all SNWs that require unique treatments according to their metabolic pathways. Implementation of social science to assess the psycho-socio-economic burden of IMDs is still underused. Involvement of patient representatives is essential for a holistic healthcare not only focusing on clinical care, but also on the quality of life for IMD-patients. Surveys identified unmet needs of patient care, patients having little information on national support systems and structural deficits of healthcare systems to ensure HCP can provide adequate clinical care during transition phases. These results are collected by MetabERN and forwarded to the Directorate-General for Health and Food Safety (DG SANTE) of the European Commission (EC) to be addressed further.Conclusion:MetabERN offers an infrastructure of virtual healthcare for patients with IMDs. Thus, in collaboration with ERN ReCONNET, MetabERN can assist in identifying rare metabolic disorders of RMDs to shorten the odyssey of diagnosis and advise on their respective therapies. On the other hand, MetabERN can benefit from EULAR’s longstanding experience regarding issues affecting the quality of life, all RMD patients are facing, such as pain, stiffness, fatigue, rehabilitation, maintaining work and disability claims.References:[1]IEMbase - Inborn Errors of Metabolism Knowledgebase http://www.iembase.org/ (accessed Jan 29, 2021).[2]MetabERN: European Refence Network for Hereditary Metabolic Disorders https://metab.ern-net.eu/ (accessed Jan 29, 2021).[3]Lampe, C.; Dionisi-Vici, C.; Bellettato, C. M.; Paneghetti, L.; van Lingen, C.; Bond, S.; Brown, C.; Finglas, A.; Francisco, R.; Sestini, S.; Heard, J. M.; Scarpa, M.; MetabERN collaboration group. The Impact of COVID-19 on Rare Metabolic Patients and Healthcare Providers: Results from Two MetabERN Surveys. Orphanet J. Rare Dis.2020, 15 (1), 341. https://doi.org/10.1186/s13023-020-01619-x.Acknowledgements:The authors thank the MetabERN collaboration group, the single point of contacts (SPOC) of the MetabERN patient board and the Transition Project Working Group (TPWG)Disclosure of Interests:None declared


Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 967
Author(s):  
Amirreza Mahbod ◽  
Gerald Schaefer ◽  
Christine Löw ◽  
Georg Dorffner ◽  
Rupert Ecker ◽  
...  

Nuclei instance segmentation can be considered as a key point in the computer-mediated analysis of histological fluorescence-stained (FS) images. Many computer-assisted approaches have been proposed for this task, and among them, supervised deep learning (DL) methods deliver the best performances. An important criterion that can affect the DL-based nuclei instance segmentation performance of FS images is the utilised image bit depth, but to our knowledge, no study has been conducted so far to investigate this impact. In this work, we released a fully annotated FS histological image dataset of nuclei at different image magnifications and from five different mouse organs. Moreover, by different pre-processing techniques and using one of the state-of-the-art DL-based methods, we investigated the impact of image bit depth (i.e., eight bits vs. sixteen bits) on the nuclei instance segmentation performance. The results obtained from our dataset and another publicly available dataset showed very competitive nuclei instance segmentation performances for the models trained with 8 bit and 16 bit images. This suggested that processing 8 bit images is sufficient for nuclei instance segmentation of FS images in most cases. The dataset including the raw image patches, as well as the corresponding segmentation masks is publicly available in the published GitHub repository.


2021 ◽  
pp. 089443932110073
Author(s):  
Yining Malloch ◽  
Bo Feng

Guided by the masspersonal communication model, this study examined the impact of the communication channel (masspersonal vs. interpersonal) and support message type on evaluation of social support message quality in Facebook settings. An online factorial experiment with 480 participants revealed that support messages sent through interpersonal channels (e.g., private messaging) were perceived as higher in quality than those sent through masspersonal channels (e.g., status update). Regardless of channels, participants considered tangible support messages as higher quality than informational and emotional support messages. Implications for computer-mediated communication and social support theories and practices were discussed.


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