tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Teachers’ academic achievement: evidence from Swedish longitudinal register data Link til kilde
Like this:
Like Loading...
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: An evolution of performance data in higher education governance: a path towards a ‘big data’ era? Link til kilde
Like this:
Like Loading...
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Subsurface temperature estimation in a geothermal field based on audio-frequency magnetotelluric data Link til kilde
Like this:
Like Loading...
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT Evidence suggests that the quality of teachers’ instructional practices can be improved when these are informed by relevant assessment data. Drawing on a sample of 1,300 primary school teachers in Ireland, this study examined the extent to which teachers use standardized test results for instructional purposes as well as the role of several factors in predicting this use. Specifically, the study analyzed data from a cross-sectional survey that gathered information about teachers’ use of, experiences with, and attitudes toward assessment data from standardized tests. After taking other teacher and school characteristics into consideration, the analysis revealed that teachers with more positive attitudes toward standardized tests and those who were often engaged in some form of professional development on… Continue Reading →
Like this:
Like Loading...
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract The novel coronavirus has forced the world to interact with data visualizations in order to make decisions at the individual level that have, sometimes, grave consequences. As a result, the lack of statistical literacy among the general public, as well as organizations that have a responsibility to share accurate, clear, and timely information with the general public, has resulted in widespread (mis)representations and (mis)interpretations. In this article, we showcase examples of how data related to the COVID-19 pandemic has been (mis)represented in the media and by governmental agencies and discuss plausible reasons why it has been (mis)represented. We then build on these examples to draw connections to how they could be used to enhance statistics teaching and learning,… Continue Reading →
Like this:
Like Loading...
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT Background: Scientific thinking is an essential learning goal of science education and it can be fostered by inquiry learning. One important prerequisite for scientific thinking is procedural understanding. Procedural understanding is the knowledge about specific steps in scientific inquiry (e.g. formulating hypotheses, measuring dependent and varying independent variables, repeating measurements), and why they are essential (regarding objectivity, reliability, and validity). We present two studies exploring students’ ideas about procedural understanding in scientific inquiry using Concept Cartoons. Concept Cartoons are cartoon-like drawings of different characters who have different views about a concept. They are to activate students’ ideas about the specific concept and/or make them discuss them. Purpose: The purpose of this paper is to survey students’ ideas of… Continue Reading →
Like this:
Like Loading...
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Link til kilde
Like this:
Like Loading...
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 Categorical scale data are only ordinal and defined on a finite set. Continuous scale data are only ordinal and defined on a bounded interval. Due to that character, the statistical methods for scale data ought to be based on orders between outcomes only and not any metric involving distance measure. For simple two-sample scale data, variants of classical rank methods are suitable. For regression type of problems, there are known good generalized linear models for separate categories for… Continue Reading →
Like this:
Like Loading...
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if participating in a predictive modeling competition enhances learning. The evidence suggests it does. In addition, students were surveyed to examine if the competition improved engagement and interest in the class. Supplementary materials for this article are available online. Link til kilde
Like this:
Like Loading...
eric.ed.gov har udgivet: This report presents the characteristics and initial outcomes of exiting master’s degree recipients in physics and astronomy. The report covers the degree classes of 2006, 2007 and 2008. The status of exiting physics master’s varied greatly by the citizenship of the degree recipient. The majority of US citizens entered or remained in the workforce after receiving their degrees, where the majority of non-US citizens continued with graduate study in physics or another field. Of the physics master’s in the workforce, over half were employed in the private sector, with a vast majority working in a STEM (Science, Technology, Engineering, and Math) field. (Contains 4 figures and 5 tables.) Link til kilde
Like this:
Like Loading...