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tandfonline.com – Combining statistical and machine learning methods to explore German students’ attitudes towards ICT in PISA

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Combining statistical and machine learning methods to explore German students’ attitudes towards ICT in PISA Link til kilde

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Eric.ed.gov – Exit Math Competencies for Selected Industrial Education Post-Secondary Programs in Kentucky (Drafting, Electricity, Electronics, Machine Shop).

eric.ed.gov har udgivet: This guide was prepared to assist in determining the mathematics that should be included in drafting, electricity, electronics, and machine shop programs. Information for the guide was obtained by asking teachers from every postsecondary vocational school in Kentucky to respond to a questionnaire listing mathematics competencies for their specialty by marking each competency as “needed” or “not needed.” The guide is organized in four sections. The first section provides a background for understanding and using the handbook information. The “how” and “why” of what was done are explained in this section. The second section deals with the mathematics competencies for the four programs. Listed are common competencies, competencies specific to programs, and information on using the competency information. Since it may be difficult to visualize a mathematics… Continue Reading

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tandfonline.com – Style classification and prediction of residential buildings based on machine learning

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Architectural style positioning is an important part in the process of residential building design and project planning. However, in practice, due to the complexity and ambiguity of styles, style positioning often relies more on the subjective judgement of the designers and lacks scientificity. This paper proposes a method for the classification and prediction of residential building styles. Through structured interviews and questionnaire surveys on front-line designers and project planners, it refines the key morphological elements and the site… Continue Reading

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Eric.ed.gov – Math for Machine Operators. Workplace Education. Instructor’s Guide. Project ALERT.

eric.ed.gov har udgivet: This instructor’s guide contains materials for a 40-hour course designed to refresh math skills for current computer numerical control machine operators. The course uses two instructional methods: computer-based multimedia and traditional instruction. The course description lists target audience and general objective. The next section gives instructors basic information related to providing successful educational programs in a workplace setting, an instructor’s lexicon of strategies and principles that can be used in teaching, instructor’s role and responsibilities, and course objectives. An explanation of lesson format describes these components of each lesson plan: unit name; lesson name; description and specific goals; objectives; prerequisite skills; technology use; materials needed; teacher to teacher; pretest; posttest; purpose/rationale; procedures/activities; evaluation and extension activities; resources; and homework. A section on planning and scheduling deals with… Continue Reading

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tandfonline.com – A machine learning approach to investigating the effects of mathematics dispositions on mathematical literacy

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and psychological dispositions, in an integrated way as part of the same system. Large-scale assessments such as the Programme for International Student Assessment (PISA) provide an accessible and large volume of coherent data, and this gives researchers the opportunity to employ data-driven approaches to gain an overview of the system. For these reasons, we have used machine learning to explore the relationships between psychological dispositions and mathematical literacy… Continue Reading

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tandfonline.com – Review on Reliable Pattern Recognition with Machine Learning Techniques

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, neural network techniques and methods imported from statistical learning theory have deserved increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples and performance evaluation. The general problem of recognising complex pattern with arbitrary patterns with arbitrary orientation, location and scale remains unsolved. New and emerging application, such as data mining, web… Continue Reading

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tandfonline.com – Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan–Firuzkuh road)

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Accurate prediction of the remaining service life (RSL) of pavement is essential for the design and construction of roads, mobility planning, transportation modeling as well as road management systems. However, the expensive measurement equipment and interference with the traffic flow during the tests are reported as the challenges of the assessment of RSL of pavement. This paper presents a novel prediction model for RSL of road pavement using support vector regression (SVR) optimized by particle filter to overcome… Continue Reading