20 resultados para Methodology of teaching-learning-assessment of mathematics


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Objectives: To explore the content and methodology of predoctoral Geriatric Dentistry teaching amongst European dental schools.
Methods: The study was conducted by the European College of Gerodontology (ECG) Education Committee. Αn electronic questionnaire has been developed with close and open-ended items, including information on the prevalence and institutional anchorage of Gerodontology programs, the educators, the content and the methodology of teaching. An electronic mail, including a hyperlink to the questionnaire, was sent to 216 dental schools in 39 European countries (Winter/ Spring 2016). The Deans were asked to either answer themselves, or forward the link to faculty members with knowledge on Gerodontology teaching at their respective schools. Repeated reminders or telephone calls were used for non-respondents and personal networks were exploited to identify potential contact persons.
Results: Until August 2016, 121 dental schools from 29 countries responded to the survey (response rate 56%, EU response rate: 60%). Gerodontology was included in the predoctoral curricula of 86% of the respondents and was compulsory in 68%. The course was mainly offered in senior students and was interdisciplinary in 30% of the schools, delivered mainly by dentists (79%), physicians (21%), psychologists (10%), and nurses (5%). It was conducted as an independent lecture series in 40% of the schools and a course director was assigned in 44% of the respondents. When embedded in other disciplines, these were mainly Prosthodontics (31%). The content included a large number of items, such as epidemiology of oral health, medical problems in old age, prosthodontic management, xerostomia, and caries risk assessment. Lectures were the most common teaching format (69%), followed by small group seminars (27%). The most common types of educational material used were scientific articles (48%), printed textbooks (44%), lecture notes (40%) and e-learning material (21%). Clinical training was offered by 64% of the respondents, within the dental school clinics (49%) and/or in outreach locations (40%).
Conclusion: Amongst the respondent European dental schools (66%) there is an increasing number that teach Gerodontology at a pre-doctoral level with significant variations in content and methodology. Official guidelines and the dissemination of the ECG pre-doctoral curriculum guidelines might help to increase the prevalence and improve the status of Gerodontology teaching in Europe.

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In 2015 the Irish Mathematics Learning Support Network (IMLSN) commissioned a comprehensive audit of the extent and nature of mathematics learning support (MLS) provision on the island of Ireland. An online survey was sent to 32 institutions, including universities, institutes of technology, further education and teacher training colleges, and a 97% response rate was achieved. While the headline figure – 84% of institutions that responded to the survey provide MLS – sounds good, deeper analysis reveals that the true state of MLS is not so solid. For example, in 25% of institutions offering MLS, only five hours per week (at most) of physical MLS are available, while in 20% of institutions the service is provided by only one or two staff members. Furthermore, training of tutors is minimal or non-existent in at least half of the institutions offering MLS. The results provide an illuminating picture, however, identifying the true state of MLS in Ireland is beneficial only if it informs developments in the years ahead. This talk will present some of the findings of the survey in more depth along with conclusions and recommendations. Key among these is the need for institutions to recognise MLS as a vital element of mathematics teaching and learning strategy at third level and devote the necessary resources to facilitate the provision of a service which can grow and adapt to meet student requirements.

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Economic and environmental load dispatch aims to determine the amount of electricity generated from power plants to meet load demand while minimizing fossil fuel costs and air pollution emissions subject to operational and licensing requirements. These two scheduling problems are commonly formulated with non-smooth cost functions respectively considering various effects and constraints, such as the valve point effect, power balance and ramp rate limits. The expected increase in plug-in electric vehicles is likely to see a significant impact on the power system due to high charging power consumption and significant uncertainty in charging times. In this paper, multiple electric vehicle charging profiles are comparatively integrated into a 24-hour load demand in an economic and environment dispatch model. Self-learning teaching-learning based optimization (TLBO) is employed to solve the non-convex non-linear dispatch problems. Numerical results on well-known benchmark functions, as well as test systems with different scales of generation units show the significance of the new scheduling method.

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Key content
- Trainees face many challenges in learning the skill set required to perform laparoscopic surgery.
- The time spent in the operating room has been detrimentally impacted upon since the implementation of the European Working Time Directive. In order to address the deficit, surgical educators have looked to the benefits enjoyed in the aviation and sports industries in using simulation training.

Learning objectives
- To summarise the current understanding of the neuropsychological basis of learning a psychomotor skill.
- To clarify factors that influence the acquisition of these skills.
- To summarise how this information can be used in teaching and assessment of laparoscopic skills.

Ethical issues
- The use of virtual reality simulators may be able to form a part of the aptitude assessment in the selection process, in order to identify trainees with the desired attributes to progress into the training programmes. However, as skill improves with practice, is it ethical to exclude novices with poor initial performance assessment before allowing them the opportunities to improve?

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One of the main purposes of building a battery model is for monitoring and control during battery charging/discharging as well as for estimating key factors of batteries such as the state of charge for electric vehicles. However, the model based on the electrochemical reactions within the batteries is highly complex and difficult to compute using conventional approaches. Radial basis function (RBF) neural networks have been widely used to model complex systems for estimation and control purpose, while the optimization of both the linear and non-linear parameters in the RBF model remains a key issue. A recently proposed meta-heuristic algorithm named Teaching-Learning-Based Optimization (TLBO) is free of presetting algorithm parameters and performs well in non-linear optimization. In this paper, a novel self-learning TLBO based RBF model is proposed for modelling electric vehicle batteries using RBF neural networks. The modelling approach has been applied to two battery testing data sets and compared with some other RBF based battery models, the training and validation results confirm the efficacy of the proposed method.

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Introduction: In 2009, the European College of Gerodontology (ECG) published the Gerodontology undergraduate teaching guidelines. Seven years later it conducted a survey to explore the current status of Gerodontology teaching amongst the European dental schools.
Methods: The ECG Education Committee developed an electronic questionnaire that was emailed to the Deans or other contact persons in 185 dental schools in 40 European countries. The questionnaire recorded the prevalence, contents and methodology of Gerodontology education. Two weeks later a reminder was sent to non-respondents.
Results: The first wave of responses included 70 dental schools from 28 European countries. Gerodontology was included in the undergraduate curricula of 77% of the respondents and was compulsory in 61% of them. The course was usually offered in senior students and was interdisciplinary; the educators included dentists, physicians, nurses and other care providers. Lecturing was the most common educational technique (75%), and the most common topics included medical problems in old age, pharmacology and polypharmacy, the association between general and oral health, nutritional and chewing problems, xerostomia and prosthodontic management. Clinical training was usually offered within the dental school clinics (50%) and less often in remote locations (nursing homes, geriatric hospitals, day centers).
Key Conclusions: An increasing number of European dental schools teach Gerodontology at the undergraduate curriculum. The study is still ongoing, but a "worst case scenario" has to be born in mind, where dental schools, who failed to participate in the survey, may not be teaching in Gerodontology.

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In this study, a series of N-chloro-acetylated dipeptides were synthesised by the application of Houghten's methodology of multiple analog peptide syntheses. The peptides, all of which contain a C-terminal free acid, were tested as inactivators of bovine cathepsin B, in an attempt at exploiting the known and, amongst the cysteine proteinases, unique carboxy dipeptidyl peptidase activity of the protease. We have succeeded in obtaining a number of effective inactivators, the most potent of which-chloroacetyl-Leu-Leu-OH, inactivates the enzyme with an apparent second-order rate constant of 3.8 x 10(4) M-1 min(-1). In contrast, the esterified analog, chloroacetyl-Leu-Leu-OMe, inactivates the enzyme some three orders of magnitude less efficiently, lending credence to our thesis that a free carboxylic acid moiety is an important determinant for inhibitor effectiveness. This preliminary study has highlighted a number of interesting features about the specificity requirements of the bovine proteinase and we believe that our approach has great potential for the rapid delineation of the subsite specificities of cathepsin B-like proteases from various species. (c) 2005 Elsevier Inc. All rights reserved.