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Resource type Learning support in mathematics and statistics in Australian universities: a guide for the university sector (ALTC)
This Guide is based on findings from a project funded by The Australian Learning and Teaching Council (ALTC). After discussion on the history, nature and roles of learning support in mathematics and statistics in Australia, it synthesizes the findings of the project to provide information for the university sector on the need for, and the provision of, such support. The project was funded by the ALTC's Leadership for Excellence in Learning and Teaching Program. The title of the project was Quantitative diversity: disciplinary and cross-disciplinary mathematics and statistics support in Australian universities, and its aim was to develop national capacity and collaboration in cross-disciplinary mathematics and statistics learning support to enhance student learning and confidence.
Resource type Radians
This unit looks at how angles can be measured in radians.
Resource type Measuring the effectiveness of a maths learning support centre - the DCU experience
This research paper by Donal Dowling and Brien Nolan, Dublin City University, reports upon efforts to measure the effectiveness of the Maths Learning Centre at Dublin City University. It provides a model of measuring effectiveness which compares the pass rates of "at risk" students who did or did not visit the mathematics support centre. The model shows that in each of the two years studied the centre made a direct contribution to the success of approximately 11 students. The paper was presented at the CETL MSOR Conference in September 2006.
Resource type Measuring the effectiveness of a maths learning support centre - the DCU experience
This research paper by DONAL DOWLING and BRIEN NOLAN, Dublin City University, reports upon efforts to measure the effectiveness of the Maths Learning Centre at Dublin City University. It provides a model of measuring effectiveness which compares the pass rates of "at risk" students who did or did not visit the mathematics support centre. The model shows that in each of the two years studied the centre made a direct contribution to the success of approximately 11 students. The paper was presented at the CETL MSOR Conference in September 2006.
Resource type Radian measure
Most people usually learn to measure an angle in degrees. But in many scientific and engineering calculations radians are used in preference to degrees. (Mathtutor Video Tutorial) This resource is released under a Creative Commons license Attribution-Non-Commercial-No Derivative Works and the copyright is held by Skillbank Solutions Ltd.
Resource type Coventry University's Mathematics Support Centre's Website
The Mathematics Support Centre at Coventry University (originally known as the BP Maths Centre) was established in 1991. The Centre aims to provide early identification of problems and on-going support for individual students. This is achieved through use of diagnostic testing, the provision of a wide range of resources and the availability of one-to-one assistance on drop-in basis. The Centre�?�¢??s website was launched in September 2000 to:
  • extend the support provision to students who did not find it easy to visit the Centre (e.g. part-time students).
  • provide access to a range of resources at times when the Centre is closed.
  • deliver new support activities such as online practice tests and email questions.
Resource type Radian measure
Most people usually learn to measure an angle in degrees. But in many scientific and engineering calculations radians are used in preference to degrees. (Mathtutor Video Tutorial) The video is released under a Creative Commons license Attribution-Non-Commercial-No Derivative Works and the copyright is held by Skillbank Solutions Ltd.
Resource type evaluation of mathematics support centres - a review of the literature (sigma)
This sigma guide reviews published literature concerning the evaluation of mathematics support centres. There is a growing body of research studies, which have looked into a number of areas such as: the establishment of a MSC; the usage of MSCs and mechanisms for recording usage data; feedback from students and staff and ways to collect this; effects on achievement, pass rates and retention rates; and the prevalence of MSCs in the higher education sector. More recently researchers have begun to examine the effects of MSCs on undergraduatesâ?? mathematics learning experiences and mathematical confidence, and to address issues concerning students who are â??at riskâ?? or underachieving and not engaging with the facilities offered by their MSC. This report reviews and synthesises all the available published research evidence so that informed decisions can be made about the value of mathematics support activity and the targeting of future funding.
Resource type Skills in Mathematics and Statistics in Economics and tackling transition
This report by Peter Dawson is one of a series of outputs produced by the Higher Education Academy STEM project: Skills in Mathematics and Statistics in the disciplines and tackling transition. The project seeks to provide a strong evidence base to inform dialogue between the pre-university and higher education sectors about the need for students to develop and apply mathematical and statistical skills within a range of discipline areas within higher education. Throughout a particular emphasis is placed on the transition into university study. The focus of this report is the Economics discipline. The report examines a wide range of factors including the mathematical and statistical skills requirements within the discipline, key sector requirements and entrance qualifications. Evidence collected from a literature review and a discussion event is presented and used to inform findings and recommendations. (2014)
Resource type Skills in Mathematics and Statistics in Chemistry and tackling transition
This report by Dudley E Shallcross and Paul C Yates is one of a series of outputs produced by the Higher Education Academy STEM project: Skills in Mathematics and Statistics in the disciplines and tackling transition. The project seeks to provide a strong evidence base to inform dialogue between the pre-university and higher education sectors about the need for students to develop and apply mathematical and statistical skills within a range of discipline areas within higher education. Throughout a particular emphasis is placed on the transition into university study. The focus of this report is the Chemistry discipline. The report examines a wide range of factors including the mathematical and statistical skills requirements within the discipline, key sector requirements and staff and student expectations. Evidence collected from a literature review, surveys and a discussion event is presented and used to inform findings and recommendations. (2014)
Resource type Skills in Mathematics and Statistics in Sociology and tackling transition
This report by Julie Scott Jones and John Goldring is one of a series of outputs produced by the Higher Education Academy STEM project: Skills in Mathematics and Statistics in the disciplines and tackling transition. The project seeks to provide a strong evidence base to inform dialogue between the pre-university and higher education sectors about the need for students to develop and apply mathematical and statistical skills within a range of discipline areas within higher education. Throughout a particular emphasis is placed on the transition into university study. The focus of this report is the Sociology discipline. The report examines a wide range of factors including the mathematical and statistical skills requirements within the discipline, key sector requirements and staff and student expectations. Evidence collected from a literature review, surveys and discussion events is presented and used to inform findings and recommendations. (2014)
Resource type Skills in Mathematics and Statistics in Geography and tackling transition
This report by Catherine Souch, Katherine Fitzpatrick and Richard Harris is one of a series of outputs produced by the Higher Education Academy STEM project: Skills in Mathematics and Statistics in the disciplines and tackling transition. The project seeks to provide a strong evidence base to inform dialogue between the pre-university and higher education sectors about the need for students to develop and apply mathematical and statistical skills within a range of discipline areas within higher education. Throughout a particular emphasis is placed on the transition into university study. The focus of this report is the Geography discipline. The report examines a wide range of factors including the mathematical and statistical skills requirements within the discipline, key sector requirements and staff and student expectations. Evidence collected from a literature review, surveys, interviews and a discussion event is presented and used to inform findings and recommendations. (2014)
Resource type Skills in Mathematics and Statistics in Business and Management and tackling transition
This report by Michaela J Cottee, Amanda Relph and Karen Robins is one of a series of outputs produced by the Higher Education Academy STEM project: Skills in Mathematics and Statistics in the disciplines and tackling transition. The project seeks to provide a strong evidence base to inform dialogue between the pre-university and higher education sectors about the need for students to develop and apply mathematical and statistical skills within a range of discipline areas within higher education. Throughout a particular emphasis is placed on the transition into university study. The focus of this report is the Business and Management discipline. The report examines a wide range of factors including the mathematical and statistical skills requirements within the discipline, key sector requirements and staff and student expectations. Evidence collected from a literature review, surveys and a discussion event is presented and used to inform findings and recommendations. (2014)
Resource type Mathematical transitions: a report on the mathematical and statistical needs of students undertaking undergraduate studies in various disciplines
Mathematics and Statistics are essential to the university curricula of many disciplines. The purpose of the Higher Education Academy STEM project was to investigate the mathematical and statistical requirements in a range of discipline areas including: Business and Management, Chemistry, Economics, Geography, Sociology and Psychology. Reports were commissioned from discipline experts to provide a strong evidence base to inform developments within the disciplines and dialogue between the higher education and pre-university sectors. This report by Jeremy Hodgen, Mary McAlinden and Anthony Tomei summarises the findings of these project reports and of similar work in other disciplines. It introduces some high-level contextual evidence from the pre-university sector, in particular data about trends in public examinations, and highlights important policy developments in pre-university Mathematics education. The report also includes high level recommendations regarding Mathematics and Statistics within the context of other disciplines, with a particular focus on the point of transition into higher education. (2014)
Resource type A Practitioner’s Guide to Implementing Cross-Disciplinary Links in a Mathematics Support Program
With widening participation in the university sector and the reduction in pre-requisites for entry into many university science courses, students are arriving at university with reduced competencies in mathematics. As quantitative skills are crucial for study in science, under-preparation has direct effects on multiple disciplines. The Maths Skills Program for first year science and statistics students at La Trobe University was developed in collaboration with science coordinators to provide students with mathematics support that highlights the relevance of mathematics to their disciplines. In evaluating the program, both the students and science coordinators were surveyed. The student responses on questionnaires indicated the students saw the relevance of the program to their educational goals, believed the questions written in context helped them learn their subject, and the focus on relevance helped them understand how mathematics was related to their subject. This was in line with the responses from the science coordinators who found the program to be relevant to their disciplines and assisted students in applying mathematics in context. Deborah C. Jackson, Elizabeth D. Johnson, Tania M. Blanksby. (2014) A Practitioner’s Guide to Implementing Cross-Disciplinary Links in a Mathematics Support Program. IJISME, Vol 22, No 1. http://openjournals.library.usyd.edu.au/index.php/CAL/article/view/6898