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The Maths Arcade is an innovative activity involving playing and analysing strategy games which aims to simultaneously support struggling learners, stretch more confident learners and encourage the development of a staff-student mathematical community. This booklet contains details of the original Maths Arcade at Greenwich, including some discussion of the advantages of running an Arcade, and case studies from seven other Maths Arcades since established at Manchester, Salford, Sheffield Hallam, Leicester, Bath, Nottingham and Keele. This report was edited by Noel-Ann Bradshaw and Peter Rowlett. This report is not made available under a Creative Commons licence but is freely available to UK universities for non-commerical educational use.

An e-assessment system containing almost 2000 mathematics questions with random parameters and feedback spanning topics from GCSE to undergraduate level 2. Each question in the database will generate thousands of examples, each with fully-worked solutions. The MSOR Network supported the development of questions in elementary discrete mathematics (sets, logic and graph theory) as part of the National HE STEM Programme. Maths E.G. is delivered under a Creative Commons BY-SA licence.

Computer-aided assessment of maths, stats and numeracy from GCSE to undergraduate level 2. These resources have been made available under a Creative Common licence by Martin Greenhow and Abdulrahman Kamavi, Brunel University.

The teacher interface for Maths EG which may be used for computer-aided assessment of maths, stats and numeracy from GCSE to undergraduate level 2. These resources have been made available under a Creative Common licence by Martin Greenhow and Abdulrahman Kamavi, Brunel University. Teachers need to register (top right of screen) and thereafter login to use the system, after which they may use it to compose their own tests by selecting (specifically or randomly) questions from the entire database of questions. Instructions are available from the title page.

A comprehensive collection of case studies,
intended to assist you with the challenge of enhancing the basic
mathematical skills of engineering or science students. These case studies
focus particularly on embedding mathematics within the disciplines of engineering and science.

A comprehensive collection of case studies,
intended to assist you with the challenge of enhancing the basic
mathematical skills of engineering or science students. These case studies
focus particularly on mathematics support.

The problem of declining mathematical skills and appetite amongst university entrants is well known. In order to soften the impact that this makes on student recruitment and retention in the School of Electronics at the University of Glamorgan, it became necessary to explore a 'minimal-math' or 'engineering-first' teaching approach. MATLAB-based graphical user interfaces, simulations and animations are employed to give students an unclouded insight into the engineering concept and the underlying physical considerations, and a clear appreciation of the interplay of the parameters involved. This type of first encounter helps to stimulate the students' interest in the subject, erects crucial knowledge pegs, and lays a solid foundation to support a more mathematically rigorous approach during later encounters with the topic when any deficiencies in math skills will have been remedied.

Matrices 8: This leaflet explains how matrices can be used to solve a pair of simultaneous equations. There is an accompanying video tutorial.

Matrices 8: This video tutorial explains how matrices can be used to solve a pair of simultaneous equations. There is an accompanying help leaflet.

Matrices 8: This video tutorial explains how matrices can be used to solve a pair of simultaneous equations. There is an accompanying help leaflet.

Matrices 1: This leaflet explains what is meant by a matrix, explains the notation used to describe matrices, and introduces some special types of matrix. There is an accompanying video tutorial.

Matrices 1: This video tutorial explains what is meant by a matrix, explains the notation used to describe matrices, and introduces some special types of matrix. There is an accompanying help leaflet.

Matrices 1: This video tutorial explains what is meant by a matrix, explains the notation used to describe matrices, and introduces some special types of matrix. There is an accompanying help leaflet.

Five questions on matrix arithmetic testing matrix addition, scalar multiplication, transpose of a matrix and matrix multiplication. DEWIS resources have been made available under a Creative Commons licence by Rhys Gwynllyw & Karen Henderson, University of the West of England, Bristol.

Three questions on linear combinations and products of matrices. Numbas resources have been made available under a Creative Commons licence by Bill Foster and Christian Perfect, School of Mathematics & Statistics at Newcastle University.

Matrices 11: This leaflet explains how to calculate the inverse of a 3x3 matrix. There is an accompanying video tutorial.

Matrices 11: This video tutorial explains how to calculate the inverse of a 3x3 matrix. There is an accompanying help leaflet.

Matrices 11: This video tutorial explains how to calculate the inverse of a 3x3 matrix. There is an accompanying help leaflet.

In this unit we show how differentiation can be used to find the maximum and minimum values of a function. Because the derivative provides information about
the gradient or slope of the graph of a function we can use it to locate points on a
graph where the gradient is zero. We shall see that such points are often associated
with the largest or smallest values of the function, at least in their immediate
locality. In many applications, a scientist, engineer, or economist for example, will
be interested in such points for obvious reasons such as maximising power, or profit, or minimising losses or costs. (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.

In this unit we show how differentiation can be used to find the maximum and minimum values of a function. Because the derivative provides information about
the gradient or slope of the graph of a function we can use it to locate points on a
graph where the gradient is zero. We shall see that such points are often associated
with the largest or smallest values of the function, at least in their immediate
locality. In many applications, a scientist, engineer, or economist for example, will
be interested in such points for obvious reasons such as maximising power, or profit, or minimising losses or costs. (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.

Video for iPod.
This resource is released under a Creative Commons license Attribution-Non-Commercial-No Derivative Works and the copyright is held by Skillbank Solutions Ltd.

FOR COPYRIGHT REASONS DIRECT ACCESS TO THIS PAPER MAY BE UNAVAILABLE. This research paper by CHETNA PATEL and JOHN LITTLE, Robert Gordon University,
presents evidence that maths study support can increase maths related module pass rates and scores for undergraduate engineering students.
The paper is published in Teaching Mathematics and its Applications (2006).

FOR COPYRIGHT REASONS DIRECT ACCESS TO THIS PAPER MAY BE UNAVAILABLE. This research paper by Chetna Patel and John Little, Robert Gordon University,
presents evidence that maths study support can increase maths related module pass rates and scores for undergraduate engineering students.
The paper is published in Teaching Mathematics and its Applications (2006) 25 (3): 131-138.
doi: 10.1093/teamat/hri031.

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.

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.

This report is published under the auspices of The Learning and Teaching Support Network (Maths, Stats & OR), The Institute of Mathematics and its Applications, The London Mathematical Society, and The Engineering Council. The findings and recommendations in this report emerged from a seminar at the Møller Centre Cambridge, 10-11 May 1999.