Now showing 1 - 10 of 12
  • Publication
    Open Access
    Constructivist learning design: Classroom tasks for deeper learning (2nd ed.)
    (2021) ;
    Chua, Boon Liang
    ;
    ; ; ;
    Lee, June
    ;
    Liu, Mei
    ;
    Wong, Zi Yang
    ;
    Gayatri Balakrishnan
    ;
    Seto, Cynthia
    ;
    Pang, Yen Ping
    ;
    Chew, Chong Kiat
    ;
    Chen, Ouhao
      227  195
  • Publication
    Open Access
    Calculus for teaching and learning (CASTLE): An exploratory study
    (National Institute of Education (Singapore), 2022) ; ; ; ;
    Tan, Victor
    ;
    Tang, Wee Kee
      270  109
  • Publication
    Open Access
    Translating productive failure in the Singapore A-level statistics curriculum
    (National Institute of Education (Singapore), 2018) ;
    Chua, Lai Choon
    ;
    Manu Kapur
    ;
    Lam, Rachel Jane
    ;
    ;
  • Publication
    Unknown
    Constructivist learning design: Classroom tasks for deeper learning
    (2020) ;
    Chua, Boon Liang
    ;
    ; ; ;
    Lee, June
    ;
    Liu, Mei
    ;
    Wong, Zi Yang
    ;
    Gayatri Balakrishnan
    ;
    Seto, Cynthia
    ;
    Pang, Yen Ping
    ;
    Chew, Chong Kiat
    ;
    Chen, Ouhao
      411  506
  • Publication
    Open Access
      374  179
  • Publication
    Open Access
    A study of pre-service teachers' performance on two calculus tasks on differentiation and limit
    The purpose of this paper is to report a part of a calculus research project, about the performance of a group of pre-service mathematics teachers on two tasks on limit and differentiation of the trigonometric sine function in which the unit of angle measurement was in degrees. Most of the pre-service teachers were not cognizant of the unit of angle measurement in the typical differentiation formula, and a number of participants recognized the condition on the unit of angle measurement but did not translate this to the correct procedure for performing differentiation. The result also shows that most of the participants were not able to associate the derivative formula with the process of deriving it from the first principle. Consequently, they did not associate it with finding . In the process of evaluating this limit, the pre-service teachers exhibited further misconceptions about division of a number by zero.
      151  185
  • Publication
    Open Access
    A clustering group lasso method for quantification of adulteration in black cumin seed oil using Fourier transform infrared spectroscopy
    Black cumin seed oil (BCSO) contains a large number of bioactive compounds and thus has many medicinal health benefits and uses. Its high economic profits in the market lead to the frequent occurrence of adulterating this oil with cheaper edible oils such as grape seed oil, walnut oil. It is difficult to detect adulteration as the oil adulterant has similar physical characteristic and even similar chemical composition to the authentic oil. The development of an accurate and rapid analytical method using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy is of essential importance for determination of authenticity of BCSO and quantification of oil adulterants. In this study, BCSO and grape seed oil (GSO) were mixed in various ratios to mimic the adulteration. A clustering group lasso method was developed by incorporating both the high correlation structure of spectral variables and the underlying group features into the model. Instead of assuming that groups are known a priori as does ordinary group lasso, the clustering group lasso infers groups of spectral features from the data and encourages spectral variables within a group to have a shared association with the response. The model using ATR-FTIR spectroscopy proved to be a powerful tool to quantify BCSO adulteration with high accuracy and can accurately predict the quantity of adulterant at levels as low as 5%. With a substantial reduction in number of spectral features, the clustering group lasso model shows a simple regression coefficient profile with improved interpretability as compared to the ordinary group lasso model and other penalized models. The spectral regions automatically selected for quantification of BCSO adulteration can be helpful for the interpretation of the major chemical constituents of BCSO regarding its anti-cancer and anti-inflammatory effects from a chemometric perspective.
    WOS© Citations 2Scopus© Citations 4  105  47
  • Publication
    Open Access
    On pre-service teachers' content knowledge of school calculus: An exploratory study
    This paper reports an exploratory study on the pre-service teachers’ content knowledge on school calculus. A calculus instrument assessing the pre-service teachers’ iconic thinking, algorithmic thinking and formal thinking related to various concepts in school calculus was administered to a group of pre-service mathematics teachers. Their performance on five of the items is reported in this paper. Other than their good performance in the iconic recognition of stationary points, their recognition on points of inflexion, differentiability and notion of minimum points was relatively poor. In addition, they appeared to lack the algorithmic flexibility in testing the nature of stationary points and the formal thinking about definition of an extremum point. The implications of the findings are discussed.
      97  107
  • Publication
    Open Access
    Chemometric feature selection and classification of Ganoderma lucidum spores and fruiting body using ATR-FTIR spectroscopy
    Ganoderma lucidum (G. lucidum) spores as a valuable Chinese herbal medicine have vast marketable prospect for its bioactivities and medicinal efficacy. This study aims at the development of an effective and simple analytical method to distinguish G. lucidum spores from its fruiting body, which is of essential importance for the quality control and fast discrimination of raw materials of Chinese herbal medicine. Attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy combined with the appropriate chemometric methods including penalized discriminant analysis, principal component discriminant analysis and partial least squares discriminant analysis has been proven to be a rapid and powerful tool for discrimination of G. lucidum spores and its fruiting body with classification accuracy of 99%. The model leads to a well-performed selection of informative spectral absorption bands which improve the classification accuracy, reduce the model complexity and enhance the quantitative interpretations of the chemical constituents of G. lucidum spores regarding its anticancer effects.
      409  355
  • Publication
    Open Access
    Discrimination of wild-grown and cultivated Ganoderma lucidum by Fourier transform infrared spectroscopy and chemometric methods
    Wild-grown Ganoderma lucidum (G. lucidum), a traditional Chinese herbal medicine, is highly cherished and expensive for its medicinal efficiency. This study targets the development of an accurate and effective analytical method to distinguish wild-grown G. lucidum from cultivated ones, which are of essential importance for the quality assurance and estimation of its medicinal value. Furthermore, different parts of G. lucidum have been studied to examine the differences between wild-grown and cultivated ones. Fourier transform infrared (FTIR) diffuse reflectance spectroscopy combined with the appropriate chemometric method has been proven to be a rapid and powerful tool for discrimination of wild-grown and cultivated G. lucidum with classification accuracy of 98%. The informative spectral absorption bands for discrimination emphasized by the linear diagnostic rule have provided quantitative interpretations of the chemical constituents of wildgrown G. lucidum regarding its anticancer effects.
      403  424