Improving the Efficiency of Automatic Knowledge Generation through Games and Simulations

2013 ◽  
pp. 349-358
Author(s):  
Mark Floryan ◽  
Beverly Park Woolf
Keyword(s):  
Knowledge Generation ◽  
Games And Simulations

Toward a Speech Sciences Community

2012 ◽  
Vol 22 (1) ◽  
pp. 14-20
Author(s):  
Donald Finan ◽  
Stephen M. Tasko
Keyword(s):  
Science Research ◽  
Knowledge Generation ◽  
Speech Language Pathology ◽  
Mandated Curriculum ◽  
Professional Discipline ◽  
Common Area ◽  
Language Pathology ◽  
History Of ◽  
The Common ◽  
Speech Science

The history of speech-language pathology as a profession encompasses a tradition of knowledge generation. In recent years, the quantity of speech science research and the presence of speech scientists within the domain of the American Speech-Hearing-Language Association (ASHA) has diminished, even as ASHA membership and the size of the ASHA Convention have grown dramatically. The professional discipline of speech science has become increasingly fragmented, yet speech science coursework is an integral part of the mandated curriculum. Establishing an active, vibrant community structure will serve to aid researchers, educators, and clinicians as they work in the common area of speech science.

Patterns of Implicit Learning Below the Level of Conscious Knowledge

2010 ◽  
Vol 24 (2) ◽  
pp. 91-101 ◽  
Author(s):  
Juliana Yordanova ◽  
Rolf Verleger ◽  
Ullrich Wagner ◽  
Vasil Kolev
Keyword(s):  
Implicit Learning ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Knowledge Generation ◽  
Sleep Stages ◽  
Implicit Processing ◽  
Implicit Processes ◽  
Late Night ◽  
On Line ◽  
On Line Learning

The objective of the present study was to evaluate patterns of implicit processing in a task where the acquisition of explicit and implicit knowledge occurs simultaneously. The number reduction task (NRT) was used as having two levels of organization, overt and covert, where the covert level of processing is associated with implicit associative and implicit procedural learning. One aim was to compare these two types of implicit processes in the NRT when sleep was or was not introduced between initial formation of task representations and subsequent NRT processing. To assess the effects of different sleep stages, two sleep groups (early- and late-night groups) were used where initial training of the task was separated from subsequent retest by 3 h full of predominantly slow wave sleep (SWS) or rapid eye movement (REM) sleep. In two no-sleep groups, no interval was introduced between initial and subsequent NRT performance. A second aim was to evaluate the interaction between procedural and associative implicit learning in the NRT. Implicit associative learning was measured by the difference between the speed of responses that could or could not be predicted by the covert abstract regularity of the task. Implicit procedural on-line learning was measured by the practice-based increased speed of performance with time on task. Major results indicated that late-night sleep produced a substantial facilitation of implicit associations without modifying individual ability for explicit knowledge generation or for procedural on-line learning. This was evidenced by the higher rate of subjects who gained implicit knowledge of abstract task structure in the late-night group relative to the early-night and no-sleep groups. Independently of sleep, gain of implicit associative knowledge was accompanied by a relative slowing of responses to unpredictable items suggesting reciprocal interactions between associative and motor procedural processes within the implicit system. These observations provide evidence for the separability and interactions of different patterns of processing within implicit memory.

How Sweet and Ripe are the Fruits? Data Mining Techniques for Classifying and Predicting ‘Quick-Wins’ Direct Capital Investment in Indonesia as One Approach to Business intelligence Orientation and Knowledge Management Scenarios of Indonesian Enterprises

2019 ◽  
Vol 1 (1) ◽  
pp. 121-131
Author(s):  
Ali Fauzi
Keyword(s):  
Data Mining ◽  
Business Intelligence ◽  
Direct Investment ◽  
Capital Investment ◽  
Export Market ◽  
Added Value ◽  
Knowledge Generation ◽  
Management Scenarios ◽  
Data Mining Techniques ◽  
Knowledge Based Economy

The existence of big data of Indonesian FDI (foreign direct investment)/ CDI (capital direct investment) has not been exploited somehow to give further ideas and decision making basis. Example of data exploitation by data mining techniques are for clustering/labeling using K-Mean and classification/prediction using Naïve Bayesian of such DCI categories. One of DCI form is the ‘Quick-Wins’, a.k.a. ‘Low-Hanging-Fruits’ Direct Capital Investment (DCI), or named shortly as QWDI. Despite its mentioned unfavorable factors, i.e. exploitation of natural resources, low added-value creation, low skill-low wages employment, environmental impacts, etc., QWDI , to have great contribution for quick and high job creation, export market penetration and advancement of technology potential. By using some basic data mining techniques as complements to usual statistical/query analysis, or analysis by similar studies or researches, this study has been intended to enable government planners, starting-up companies or financial institutions for further CDI development. The idea of business intelligence orientation and knowledge generation scenarios is also one of precious basis. At its turn, Information and Communication Technology (ICT)’s enablement will have strategic role for Indonesian enterprises growth and as a fundamental for ‘knowledge based economy’ in Indonesia.

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence

AI Magazine ◽  
2019 ◽  
Vol 40 (3) ◽  
pp. 67-78
Author(s):  
Guy Barash ◽  
Mauricio Castillo-Effen ◽  
Niyati Chhaya ◽  
Peter Clark ◽  
Huáscar Espinoza ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Cyber Security ◽  
Question Answering ◽  
Intent Recognition ◽  
Affective Content ◽  
Learning Plan ◽  
Dialog System ◽  
Affective Content Analysis ◽  
Games And Simulations

The workshop program of the Association for the Advancement of Artificial Intelligence’s 33rd Conference on Artificial Intelligence (AAAI-19) was held in Honolulu, Hawaii, on Sunday and Monday, January 27–28, 2019. There were fifteen workshops in the program: Affective Content Analysis: Modeling Affect-in-Action, Agile Robotics for Industrial Automation Competition, Artificial Intelligence for Cyber Security, Artificial Intelligence Safety, Dialog System Technology Challenge, Engineering Dependable and Secure Machine Learning Systems, Games and Simulations for Artificial Intelligence, Health Intelligence, Knowledge Extraction from Games, Network Interpretability for Deep Learning, Plan, Activity, and Intent Recognition, Reasoning and Learning for Human-Machine Dialogues, Reasoning for Complex Question Answering, Recommender Systems Meet Natural Language Processing, Reinforcement Learning in Games, and Reproducible AI. This report contains brief summaries of the all the workshops that were held.

Blank Canvas

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Ben Toscher
Keyword(s):  
Music Education ◽  
Learning Environments ◽  
New Ventures ◽  
Entrepreneurship Education ◽  
Social Contexts ◽  
Knowledge Generation ◽  
Learning Theories ◽  
Personal Agency ◽  
Personal Factors ◽  
Entrepreneurial Knowledge

The majority of learning in arts entrepreneurship education is experiential (Essig & Guevara, 2016). Experiential and entrepreneurial learning theories indicate that to facilitate entrepreneurial knowledge generation which “enables [entrepreneurs] to recognize and act on entrepreneurial opportunities and to organize and manage new ventures” (Politis, 2005, p. 400), individuals need to exercise personal agency and engage in explorative behavior (Kolb & Kolb, 2009; Politis, 2005). If arts entrepreneurship education is to help students generate such entrepreneurial knowledge, arts entrepreneurship educators should create learning environments in which their students can exercise personal agency and behave exploratively. Despite this, how students exercise personal agency and explore within arts entrepreneurship education has not been empirically studied. This empirical paper attempts to answer the following question: How do students explore and exercise personal agency in arts entrepreneurship education? Using rigor to systematically analyze qualitative data (Gioia et al., 2013) from a five-week course in entrepreneurship in higher music education to produce a data structure and model, I find that within a teacher-created learning environment, students balance personal factors (their values and beliefs, habitual modes of thought, prior experience and personal goals) against social factors (social interdependencies and conditions of approval) while taking actions to reduce uncertainty. The findings imply that teacher-created learning environments and engagement in social contexts influences how students exercise personal agency and explore.  

Corporate Social Responsibility (CSR) & Education for Sustainable Development

2016 ◽  
Vol 2 (3) ◽  
pp. 112
Author(s):  
R.S.S. Nehru
Keyword(s):  
Sustainable Development ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Local Community ◽  
Human Life ◽  
Knowledge Generation ◽  
Bottom Line ◽  
Sustainable Solutions ◽  
Strategic Csr ◽  
Corporate Social

Corporate Social Responsibility is the continuing commitment by business to behave ethically and contribute to economic development while improving the quality of life of the workforce and their families as well as of the local community and society at large” According to World Business Council for Sustainable Development, In globalization era education plays a crucial role in building the society and Nation. India is the highest country in a number of universities which constitute more than seven hundred universities, including private, public and semi sectors. Despite India have more institutions and strategies for education still Indian education is not competitive and performing infancy stage as compared to world class level. Education has pivotal role in nation building and molding superb wings of human recourse. In globalized economy and the privatization the education have been transformed into rural or root level of sustainable development in all sorts of human life. Adopting a businesslike approach which emphasizes a strategic CSR is important to survival in this increasingly competitive arena. It does not appear as a surprise to see universities and colleges discover the opportunity to move the focus beyond the classrooms into their own institutional operations. Universities, colleges and schools are the centers of knowledge generation and sharing perform a very important role in addressing the Triple Bottom Line of the world’ socioeconomic and environmental issues by promoting sustainable solutions. This paper discusses the good CSR practices and some suggestions that can boost up the CSR management and make invites on education sector.

scholarly journals Appraising psychotherapy case studies in practice-based evidence: introducing Case Study Evaluation-tool (CaSE)

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Greta Kaluzeviciute
Keyword(s):  
Case Studies ◽  
Evaluation Criteria ◽  
Internal Validity ◽  
Knowledge Generation ◽  
Evaluation Tool ◽  
Third Way ◽  
Study Evaluation ◽  
Essential Components ◽  
Randomised Controlled

AbstractSystematic case studies are often placed at the low end of evidence-based practice (EBP) due to lack of critical appraisal. This paper seeks to attend to this research gap by introducing a novel Case Study Evaluation-tool (CaSE). First, issues around knowledge generation and validity are assessed in both EBP and practice-based evidence (PBE) paradigms. Although systematic case studies are more aligned with PBE paradigm, the paper argues for a complimentary, third way approach between the two paradigms and their ‘exemplary’ methodologies: case studies and randomised controlled trials (RCTs). Second, the paper argues that all forms of research can produce ‘valid evidence’ but the validity itself needs to be assessed against each specific research method and purpose. Existing appraisal tools for qualitative research (JBI, CASP, ETQS) are shown to have limited relevance for the appraisal of systematic case studies through a comparative tool assessment. Third, the paper develops purpose-oriented evaluation criteria for systematic case studies through CaSE Checklist for Essential Components in Systematic Case Studies and CaSE Purpose-based Evaluative Framework for Systematic Case Studies. The checklist approach aids reviewers in assessing the presence or absence of essential case study components (internal validity). The framework approach aims to assess the effectiveness of each case against its set out research objectives and aims (external validity), based on different systematic case study purposes in psychotherapy. Finally, the paper demonstrates the application of the tool with a case example and notes further research trajectories for the development of CaSE tool.

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