Abstracts of Presentations
Difficulties and suggestions for learning independent events
In this talk, the rationale and theoretical principles of using games for mathematics teaching and learning, and the underlying principles of assessment will be discussed. Following that, a conceptualization of the use of games for assessing students’ mathematics learning in the Singapore classroom will be discussed.
In this presentation, we will share an exploratory approach we adopted for analysis of data. Our exploration involved 36 Likert scale items that explored teacher actions during mathematics lessons in secondary school. The outcome of which were 4 factors that could possibly further illuminate pedagogy of mathematics teachers in Singapore secondary schools.
Perspectives on mathematics teaching in the US and Singapore schools
The presenter is one of the three recipients of the Fulbright Distinguished Awards in Teaching fellowship from the United States. During her stint in Singapore, she is conducting an inquiry project on Singapore Mathematics Curriculum and the strategic implementation lesson plans that teachers are successfully engaging students in the secondary mathematics education. The purpose of her project is to improve the quality of mathematical instruction in problem-solving and to close the achievement gap in the students’ mathematical curriculum essential knowledge and skills in Dallas Independent School District. In this session, she will draw on her experiences in the U.S., observations in Singapore schools, and share her perspectives about the teaching and learning of mathematics.
Generalising a numerical linear pattern
In this presentation, I will share some generalizing strategies that successful students used to find the far term and functional rule in a numerical linear pattern generalizing task. I will also highlight the consistency of generalizing strategies that these successful students employed in establishing both the far term and functional rule. The implications of these findings will be discussed.
Computational geometry is a research field concerning both mathematics and computer science, devoted to designing, analysing and implementing algorithms that solve geometric problems. In this project, some fundamental problems arising in different application domains of computational geometry have been explored. The way that these problems can be transformed into purely geometric problems and how algorithms make use of these geometric properties to solve the problems have been studied. These problems include the closest pair problem, the convex hull and more.
Parking functions
Dong Fengming
The notion of a parking function was introduced by Konheim and Weiss in 1966. Suppose that there are n drivers labeled 1,2,⋯,n and n parking spaces arranged in a line numbered 1,2,⋯,n. Assume that driver i has its initial parking preference f(i), where 1≤f(i)≤n. Assume that these n drivers enter the parking area in the order 1,2,⋯,n and driver i park at space j, where j is the minimum number with f(i)≤j≤n such that space j is unoccupied by the previous drivers. If all drivers can park successfully by this rule, then (f(1),f(2),⋯,f(n)) is called a {\it parking function} of length n. Mathematically, a function f:Nn→Nn, where Nn={1,2,⋯,n}, is called {\it a parking function} if the inequality |{1≤i≤n:f(i)≤k}|≥k holds for each integer k:1≤k≤n. For example, for n=2, (f(1),f(2))=(1,1), (f(1),f(2))=(1,2) and (f(1),f(2))=(2,1) are parking functions, but (f(1),f(2))=(2,2) is not. It can be shown easily that f:Nn→Nn is a parking function if and only if there is a permutation π1,π2,⋯,πn of Nn such that f(πj)≤j holds for all j=1,2,⋯,n. Konheim and Weiss proved that the number of parking functions of length n is equal to (n+1)n−1, which is equal to the number of spanning trees of the complete graph Kn+1.
Parking functions are related to many topics in combinatorial theory. In this talk, I will introduce various extensions of parking functions.