Organisation Workshop. Beyond the Workplace: Large Groups, Activity and the Shared Object

2017 ◽  
Vol 25 (1) ◽  
pp. 86-99
Author(s):  
Gavin Andersson ◽  
Raff Carmen ◽  
Iván Labra ◽  
Howard Richards
Keyword(s):  
Shared Object ◽  
Large Groups

Pengembangan Bahan Ajar Matematika Bisnis Berbasis Komputer Untuk Mahasiswa Jurusan Akuntansi Politeknik Negeri Bali

Epigram ◽  
2019 ◽  
Vol 16 (2) ◽  
pp. 99-110
Author(s):  
I Made Wijana ◽  
Anak Agung Putri Suardani ◽  
I Gede Made Karma
Keyword(s):  
Small Group ◽  
Mathematics Teaching ◽  
Needs Analysis ◽  
Average Score ◽  
Teaching Materials ◽  
Initial Product ◽  
Large Group ◽  
Computer Based ◽  
Large Groups ◽  
Expert Validation

This research aims to produce prototype of computer-based business mathematics teaching materials to improve student achievement of Accounting Department, Politeknik Negeri Bali (PNB). In this research, to reach the target of teaching materials of computer-based business mathematics, the development using Borg and Gall method with some modifications into five steps: needs analysis and curriculum majoring in accounting, initial product development, education expert validation, small group trial , and large group trials. Trial of small group and large group by involving first semester student of Diploma IV Managerial Accounting Study Program, Accounting Department, PNB. Based on curriculum analysis and needs analysis, teaching materials are developed in the form of modules with Microsoft Excel application and the result of the initial product are five modules with topics of Formula, Linear and Non Linear Functions, Interest Calculation, Annuity, and Linear Programming. Education expert validation using five aspects resulted in an average score of 4.13 (good). Trial of the teaching materials by measuring student perceptions using three aspects for small groups resulted in an average score of 3.81 (good) and for large groups resulted in an average score of 4.23 (good). Furthermore, results of evaluation in large groups indicate a significant increase in mean of student scores from before and after using computer-based Business Mathematics teaching materials 

New research frameworks in the study of chimpanzee and gorilla sociality and communication

2019 ◽  
Author(s):  
Sam G. B. Roberts ◽  
Anna Roberts
Keyword(s):  
Social Evolution ◽  
Social Complexity ◽  
Brain Size ◽  
Social Systems ◽  
Strongly Correlated ◽  
The Social ◽  
Human Social Evolution ◽  
Research Frameworks ◽  
New Research ◽  
Large Groups

Group size in primates is strongly correlated with brain size, but exactly what makes larger groups more ‘socially complex’ than smaller groups is still poorly understood. Chimpanzees (Pan troglodytes) and gorillas (Gorilla gorilla) are among our closest living relatives and are excellent model species to investigate patterns of sociality and social complexity in primates, and to inform models of human social evolution. The aim of this paper is to propose new research frameworks, particularly the use of social network analysis, to examine how social structure differs in small, medium and large groups of chimpanzees and gorillas, to explore what makes larger groups more socially complex than smaller groups. Given a fission-fusion system is likely to have characterised hominins, a comparison of the social complexity involved in fission-fusion and more stable social systems is likely to provide important new insights into human social evolution

Changing Places

2019 ◽  
Author(s):  
John MacDonald ◽  
Charles Branas ◽  
Robert Stokes
Keyword(s):  
Open Space ◽  
Urban Landscape ◽  
Health And Safety ◽  
Well Being ◽  
City Life ◽  
New Science ◽  
Science And Art ◽  
Working Together ◽  
Scientific Testing ◽  
Large Groups

The design of every aspect of the urban landscape—from streets and sidewalks to green spaces, mass transit, and housing—fundamentally influences the health and safety of the communities who live there. It can affect people's stress levels and determine whether they walk or drive, the quality of the air they breathe, and how free they are from crime. This book provides a compelling look at the new science and art of urban planning, showing how scientists, planners, and citizens can work together to reshape city life in measurably positive ways. It demonstrates how well-designed changes to place can significantly improve the well-being of large groups of people. The book argues that there is a disconnect between those who implement place-based changes, such as planners and developers, and the urban scientists who are now able to rigorously evaluate these changes through testing and experimentation. It covers a broad range of structural interventions, such as building and housing, land and open space, transportation and street environments, and entertainment and recreation centers. Science shows we can enhance people's health and safety by changing neighborhoods block-by-block. The book explains why planners and developers need to recognize the value of scientific testing, and why scientists need to embrace the indispensable know-how of planners and developers. It reveals how these professionals, working together and with urban residents, can create place-based interventions that are simple, affordable, and scalable to entire cities.

ORGANIZATION OF THE TEACHING OF PSYCHOLOGY IN LARGE GROUPS

2017 ◽  
Vol 61 (1) ◽  
pp. 097-105
Author(s):  
Nuriya K. Zinalieva ◽  
◽  
Boris V. Kaygorodov ◽  
Yuliya V. Kuznetsova ◽  
Olga V. Romanova ◽  
...  
Keyword(s):  
Teaching Of Psychology ◽  
Large Groups

scholarly journals Xanthophylls from the Sea: Algae as Source of Bioactive Carotenoids

Marine Drugs ◽  
2021 ◽  
Vol 19 (4) ◽  
pp. 188
Author(s):  
Antia G. Pereira ◽  
Paz Otero ◽  
Javier Echave ◽  
Anxo Carreira-Casais ◽  
Franklin Chamorro ◽  
...  
Keyword(s):  
Haematococcus Pluvialis ◽  
Biological Effects ◽  
Algal Species ◽  
Antioxidant Properties ◽  
Laminaria Japonica ◽  
Chlorella Zofingiensis ◽  
Brown Seaweeds ◽  
Extraction And Purification ◽  
Available Information ◽  
Large Groups

Algae are considered pigment-producing organisms. The function of these compounds in algae is to carry out photosynthesis. They have a great variety of pigments, which can be classified into three large groups: chlorophylls, carotenoids, and phycobilins. Within the carotenoids are xanthophylls. Xanthophylls (fucoxanthin, astaxanthin, lutein, zeaxanthin, and β-cryptoxanthin) are a type of carotenoids with anti-tumor and anti-inflammatory activities, due to their chemical structure rich in double bonds that provides them with antioxidant properties. In this context, xanthophylls can protect other molecules from oxidative stress by turning off singlet oxygen damage through various mechanisms. Based on clinical studies, this review shows the available information concerning the bioactivity and biological effects of the main xanthophylls present in algae. In addition, the algae with the highest production rate of the different compounds of interest were studied. It was observed that fucoxanthin is obtained mainly from the brown seaweeds Laminaria japonica, Undaria pinnatifida, Hizikia fusiformis, Sargassum spp., and Fucus spp. The main sources of astaxanthin are the microalgae Haematococcus pluvialis, Chlorella zofingiensis, and Chlorococcum sp. Lutein and zeaxanthin are mainly found in algal species such as Scenedesmus spp., Chlorella spp., Rhodophyta spp., or Spirulina spp. However, the extraction and purification processes of xanthophylls from algae need to be standardized to facilitate their commercialization. Finally, we assessed factors that determine the bioavailability and bioaccesibility of these molecules. We also suggested techniques that increase xanthophyll’s bioavailability.

On Modeling Groups in Crowds: Empirical Evidence and Simulation Results Including Large Groups

2013 ◽  
pp. 835-845 ◽  
Author(s):  
Verena Reuter ◽  
Benjamin S. Bergner ◽  
Gerta Köster ◽  
Michael Seitz ◽  
Franz Treml ◽  
...  
Keyword(s):  
Empirical Evidence ◽  
Simulation Results ◽  
Large Groups

Appreciating Large Classes: Using Appreciative Inquiry to Foster a Hospitable Learning Space for Experiential Learning

2021 ◽  
pp. 105256292098012
Author(s):  
Mai P. Trinh ◽  
Chantal van Esch ◽  
Hector A. Martinez ◽  
Tracey Messer
Keyword(s):  
Experiential Learning ◽  
Organizational Development ◽  
Appreciative Inquiry ◽  
Experiential Learning Theory ◽  
Learning Space ◽  
Large Classes ◽  
Development Methodology ◽  
Large Enrollment ◽  
Large Groups ◽  
Kolb's Experiential Learning Theory

Experiential learning has been documented as an effective method for student learning, yet its use in large-enrollment classes remains limited. Kolb’s experiential learning theory emphasizes that experiential learning requires a hospitable learning space (HLS) that is conducive to learning. In this article, we reframe the challenges to experiential learning in large classes as a failure to create and maintain an HLS, and we propose Appreciative inquiry as one solution to this problem. Appreciative inquiry is an organizational development methodology that practitioners have successfully used to engage large groups to leverage their strengths and resources. First, we describe the HLS as an overarching theoretical framework to address the lack of engagement when conducting experiential learning in large classes. Second, we use the principles of Appreciative inquiry to provide actionable suggestions to instructors facing these challenges. Finally, through the use of appreciative inquiry, we argue that some characteristics of large classes can instead be viewed in an appreciative way as available resources to generate an engaging experiential learning process for students.

scholarly journals Unity Is Intelligence: A Collective Intelligence Experiment on ECG Reading to Improve Diagnostic Performance in Cardiology

2021 ◽  
Vol 9 (2) ◽  
pp. 17
Author(s):  
Luca Ronzio ◽  
Andrea Campagner ◽  
Federico Cabitza ◽  
Gian Franco Gensini
Keyword(s):  
Diagnostic Accuracy ◽  
Medical Errors ◽  
Collective Intelligence ◽  
Error Rates ◽  
Clinical Settings ◽  
Huge Impact ◽  
Recent Graduates ◽  
Human Costs ◽  
Electrocardiogram Ecg ◽  
Large Groups

Medical errors have a huge impact on clinical practice in terms of economic and human costs. As a result, technology-based solutions, such as those grounded in artificial intelligence (AI) or collective intelligence (CI), have attracted increasing interest as a means of reducing error rates and their impacts. Previous studies have shown that a combination of individual opinions based on rules, weighting mechanisms, or other CI solutions could improve diagnostic accuracy with respect to individual doctors. We conducted a study to investigate the potential of this approach in cardiology and, more precisely, in electrocardiogram (ECG) reading. To achieve this aim, we designed and conducted an experiment involving medical students, recent graduates, and residents, who were asked to annotate a collection of 10 ECGs of various complexity and difficulty. For each ECG, we considered groups of increasing size (from three to 30 members) and applied three different CI protocols. In all cases, the results showed a statistically significant improvement (ranging from 9% to 88%) in terms of diagnostic accuracy when compared to the performance of individual readers; this difference held for not only large groups, but also smaller ones. In light of these results, we conclude that CI approaches can support the tasks mentioned above, and possibly other similar ones as well. We discuss the implications of applying CI solutions to clinical settings, such as cases of augmented ‘second opinions’ and decision-making.

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