scholarly journals Lessons learned in practice-based research: Studying language interventions for young children in the real world

2020 ◽  
Vol 5 ◽  
pp. 239694152091348
Author(s):  
Rachael E Smyth ◽  
Julie Theurer ◽  
Lisa MD Archibald ◽  
Janis Oram Cardy
Keyword(s):  
Young Children ◽  
Real World ◽  
Lessons Learned ◽  
The Real ◽  
Language Interventions ◽  
Practice Based Research

The 'real world' utility of miRNA patents: lessons learned from expressed sequence tags

2011 ◽  
Vol 29 (2) ◽  
pp. 129-133 ◽  
Author(s):  
Bonnie W McLeod ◽  
Mark L Hayman ◽  
Angela L Purcell ◽  
Joshua S Marcus ◽  
Erich Veitenheimer
Keyword(s):  
Real World ◽  
Expressed Sequence Tags ◽  
Lessons Learned ◽  
The Real ◽  
Expressed Sequence

Unlocking the value of HR to drive a change-ready culture

2017 ◽  
Vol 16 (4) ◽  
pp. 171-176
Author(s):  
Campbell Macpherson
Keyword(s):  
Real World ◽  
Culture Change ◽  
Design Methodology ◽  
Lessons Learned ◽  
World Culture ◽  
Content Type ◽  
Large Organization ◽  
The Real ◽  
Personal Experiences

Purpose This paper aims to present a case study focused on developing a change-ready culture within a large organization. Design/methodology/approach This paper is based on personal experiences gleaned while driving an organization-wide culture change program throughout a major financial advisory firm. Findings This paper details over a dozen key lessons learned while transforming the HR department from a fragmented, ineffective, reclusive and disrespected department into one that was competent, knowledgeable, enabling and a leader of change. Originality/value Drawing on the real-world culture change intervention detailed here, including results and lessons learned, other organizations can apply similar approaches in their own organizations – hopefully to similar effect.

Why Do Lessons Learned Often Fail?

2021 ◽  
pp. 176-193
Author(s):  
Ian Fry
Keyword(s):  
Learning Process ◽  
Real World ◽  
Lessons Learned ◽  
The Real ◽  
Drill Down

Organisations know they should do lessons learned. Standards like ISO9001 and ISO30401 say they should. Many try; few succeed. Traditionally, the first answer to the question is “lessons were observed, but not learned,” which reflects meaningful action was not taken as a result of the reported lesson. A lesson may have been identified, but nothing changed. As a result, learning did not happen. So why is this so? It is important to identify the ways in which the process towards effective lesson learning is becoming lost within the stages and how knowledge practitioners and those responsible for lessons learned can best help. This chapter will attempt to drill down on this answer, concentrating on the processes deployed and the real-world issues around the lesson-learning process.

Advantages and Obstacles of Applying Physiological Computing in Real World: Lessons Learned from Simulator Based Maritime Training

2017 ◽  
Vol Vol 159 (A2) ◽  
Author(s):  
Y Wu ◽  
T Miwa ◽  
M Uchida
Keyword(s):  
Real World ◽  
Body Movement ◽  
Heart Beat ◽  
Lessons Learned ◽  
Model Verification ◽  
Working Environment ◽  
The Real ◽  
Usability Tests ◽  
Movement Artefact ◽  
Laboratory Technology

While simulator based maritime training is widely implemented under international maritime organization (IMO) convention and model courses, troublesome issues such as objective evaluation of training effectiveness remain unsolved. Physiological computing system (PhyCS) refers to an innovative bidirectional human computer interaction which is achieved by monitoring, analysing, and responding to operators’ psychophysiological activities in real-time. With the development of wearable devices, it becomes promising to apply PhyCS, which was considered as a laboratory technology, in real-world scenarios. In our experience utilizing view tracker, portable heart beat sensor, electroencephalogram device, and web-cameras in simulator based maritime training, PhyCS shows potential for advanced applications in operator performance assessment, usability tests, and adaptive training. However, ambulatory working environment, body movement artefact, and model verification are intricate obstacles that constrain its applications in the real world. By examining the advantages and obstacles, this paper aims to develop guidelines to apply PhyCS in the real-world.

scholarly journals Options in the Real World: Lessons Learned in Evaluating Oil and Gas Investments

1999 ◽  
Vol 47 (1) ◽  
pp. 1-15 ◽  
Author(s):  
James E. Smith ◽  
Kevin F. McCardle
Keyword(s):  
Real World ◽  
Oil And Gas ◽  
Lessons Learned ◽  
The Real

scholarly journals Robotic experiments with cooperative Aerobots and underwater swarms

Robotica ◽  
2009 ◽  
Vol 27 (1) ◽  
pp. 37-49 ◽  
Author(s):  
Ehsan Honary ◽  
Frank McQuade ◽  
Roger Ward ◽  
Ian Woodrow ◽  
Andy Shaw ◽  
...  
Keyword(s):  
Computer Simulations ◽  
Real World ◽  
European Space Agency ◽  
Underwater Vehicles ◽  
Lessons Learned ◽  
Data Handling ◽  
The Real ◽  
Unmanned Underwater Vehicles ◽  
Space Agency ◽  
Processing Power

SUMMARYSciSys has been involved in the development of Planetary Aerobots (arial robots) funded by the European Space Agency for use on Mars and has developed image-based localisation technology as part of the activity. However, it is possible to use Aerobots in a different environment to investigate issues regarding robotics behaviour, such as data handling, limited processing power, and limited sensors. This paper summarises the activity where an Aerobot platform was used to investigate the use of multiple autonomous unmanned underwater vehicles (UUVs) by simulating their movement and behaviour. It reports on the computer simulations and the real-world tests carried out and the lessons learned from these experiments.

A model for teaching multiplication of fractional numbers

1973 ◽  
Vol 20 (1) ◽  
pp. 5-9
Author(s):  
George F. Green
Keyword(s):  
Young Children ◽  
Real World ◽  
Physical Reality ◽  
The Other ◽  
The Real ◽  
Mature Students ◽  
Other Hand ◽  
Pedagogical Models ◽  
Fractional Numbers

Mature students of mathematics can readily cope with new and abstract terms if precise definitions of the terms are provided. For such students, neither the new term nor its definition needs to have any obvious connection with the real world. Most young children, on the other hand, require relatively clear associations between abstract terms and physical reality. Making these associations is the role of pedagogical models. The word model has many meanings in mathematics and elsewhere, but it is used here simply to mean an assignment of meaning to an abstraction, in familiar—frequently physical—terms. The child's model, then, is somewhat analogous to the mathematician's definition.

ADVANTAGES AND OBSTACLES OF APPLYING PHYSIOLOGICAL COMPUTING IN REAL WORLD: LESSONS LEARNED FROM SIMULATOR BASED MARITIME TRAINING

2021 ◽  
Vol 159 (A2) ◽  
Author(s):  
Y Wu ◽  
T Miwa ◽  
M Uchida
Keyword(s):  
Real World ◽  
Body Movement ◽  
Heart Beat ◽  
Lessons Learned ◽  
Model Verification ◽  
Working Environment ◽  
The Real ◽  
Usability Tests ◽  
Movement Artefact ◽  
Laboratory Technology

While simulator based maritime training is widely implemented under international maritime organization (IMO) convention and model courses, troublesome issues such as objective evaluation of training effectiveness remain unsolved. Physiological computing system (PhyCS) refers to an innovative bidirectional human computer interaction which is achieved by monitoring, analysing, and responding to operators’ psychophysiological activities in real-time. With the development of wearable devices, it becomes promising to apply PhyCS, which was considered as a laboratory technology, in real-world scenarios. In our experience utilizing view tracker, portable heart beat sensor, electroencephalogram device, and web-cameras in simulator based maritime training, PhyCS shows potential for advanced applications in operator performance assessment, usability tests, and adaptive training. However, ambulatory working environment, body movement artefact, and model verification are intricate obstacles that constrain its applications in the real world. By examining the advantages and obstacles, this paper aims to develop guidelines to apply PhyCS in the real-world.

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