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IN LIGHT OF THE PISA FRAMEWORK

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This dissertation is submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Mathematical Literacy in the Light of the PISA Framework”, hereby solemnly declare that this thesis is my own original research work done and prepared by me under the supervision of Dr.

Introduction

  • Overview
  • Background of the Study
    • Mathematical Literacy (ML) in the UAE
    • High Achievers (and Gifted) in Mathematics
  • Statement of the Problem
  • Purpose of the Study
  • Research Questions and Hypotheses
  • Significance of the Study
  • Limitations of the Study
  • Definition of Terms
  • Organization of the Study

RQ1: What is the impact of the Math Enrichment Program on the math literacy of tenth grade students. RQ1a: What is the impact of the Maths Enrichment Program on the math literacy of tenth grade female students.

Table 1: The UAE Results in PISA in previous cycles
Table 1: The UAE Results in PISA in previous cycles

Literature Review

Introduction

Goals of Mathematics Education

However, the proper use of individuals' mathematical knowledge and skills is the common aspect of the three previous objectives. The literature on the aims of mathematics education reflects the increasing use of practical mathematical knowledge of quantitative problems in everyday life.

What is Mathematical Literacy (ML)?

  • Mathematical Literacy in Curriculum Reform
  • International Perspectives on Mathematical Literacy
  • International Studies about Mathematical Literacy
  • Mathematical Literacy Definition
  • Mathematical Literacy Framework
  • Summary

TIMSS' main purpose is to "measure the mathematics and science knowledge and skills that are broadly aligned with the curricula of the participating countries". Then the idea of ​​"mathematical competence" remained the focus of the Danish KOM project.

Figure 1: The PISA 2012 mathematical literacy framework
Figure 1: The PISA 2012 mathematical literacy framework

Mathematical Problem Solving

  • Importance of Mathematical Problem Solving
  • Definition of the Problem
  • Types of Problems
  • Difficulties about Contextual Problems
  • Definition of Mathematical Problem Solving
  • Mechanisms of Mathematical Problem Solving
  • Mathematical Modeling Process
  • Summary

Contextual math problems with an emphasis on problem solving play an essential role in math education. General problem solving has been defined by the OECD (2013) as a cognitive process that transforms a given situation into a target situation when no clear solution is available (Robertson, 2001). Moreover, Pólya's model is very helpful in solving problems for the students and teachers in the educational process.

The updated PISA 2021 framework adopted for this study places reasoning at the center of the problem-solving cycle that will be discussed in the next section.

Figure 3: Schematic diagram of the process of modeling
Figure 3: Schematic diagram of the process of modeling

Mathematical Reasoning

  • Mathematical Reasoning Definition
  • Reasoning Habits and Modeling Cycle
  • Summary

The OECD (2018a) stated that mathematical reasoning is at the core of mathematical literacy, where it was strengthened by some of the foundational concepts that underpin school mathematics. Mathematical reasoning is central to both the problem-solving cycle and mathematical literacy in general (OECD, 2018a, 2018b). According to the OECD (2018a, 2018b), mathematical literacy consists of two related and overlapping functions: mathematical reasoning and problem solving.

Reasoning is identified as "the ability to consciously understand things, to establish and verify facts, by applying logic, and to change or justify practices, institutions, and beliefs based on new or existing information" (Kanmani & . Nagarathinam, 2018) .

Mathematics Enrichment Program (MEP)

  • Background
  • What is Enrichment?
  • Why is Enrichment Needed? And for Whom?
  • Paradigmatic Positions of Mathematics Enrichment
  • Enrichment Framework
    • Mathematical Enrichment Content
    • Contextual Teaching and Learning (CTL)

Not only are they strongly related to problem-solving processes, but they go beyond practical problem-solving in the traditional sense. Enrichment encourages mathematical thinking and problem solving which leads to the development of cognitive processes. Collins (2014) stated that HOTS covers three categories, including transfer (or the ability to apply what we learn and know), critical thinking (which includes reflective thinking, reasoning, inquiry, exploring perspectives, understanding, synthesizing, evaluating, comparing and relating) as well as solving problems.

Therefore, real-world applications can be incorporated into problem solving to engage students in mathematics.

Figure 7: Mathematical Enrichment Content Framework
Figure 7: Mathematical Enrichment Content Framework

Constructivism and Mathematical Problem Solving

  • Cognitive Constructivism
  • Social Constructivism
  • Emergent Constructivism

The teacher's role is to facilitate this discovery by guiding students in their attempt to fit the new knowledge to the old and to modify the old to fit the new (GSI Teaching and Resource Center, 2016). Consequently, learning depends on the level of cognitive development of students (GSI Teaching and Resource Center, 2016). Thus, the published PISA tasks are appropriate for the students' level of cognitive development.

The level of potential development is the ZPD level that students can reach under the guidance of the teacher or by collaborating with other students.

Motivation

  • The Significance of Studying Motivation
  • Definition of Contextual Problems and Motivation
  • Contextual Problems and the Motivation to Learn
  • Theoretical Framework for Motivation
    • Self-Determination Theory (SDT)
    • Expectancy-Value Theory (EVT)
    • Achievement Goal Theory

One of the important themes is that students' motivation can be influenced by teaching practices and tasks despite the fact that the motivation to learn is acquired early and remains almost the same over time (Middleton & Jansen, 2011). The contextual problems, for this study, are the main component of an enrichment program developed to improve the students' mathematical literacy level; therefore, this part of the study aims to investigate the effect of the contextual problems in mathematics on the students' motivation to learn mathematics. This means that the students' motivations change from course to course based on the nature of the course and the students' interest in the course.

However, Thomas and Gerofsky (1997) indicated that many people think of contextual tasks negatively, they call it "the hated word problems".

Related Studies

  • Related Studies on MEP
  • Related Studies on Motivation
  • Related Studies on Gender Differences

The results showed that the achievement of the experimental class post-test was higher than the control class. The results of this study showed that the average mathematical literacy ability for both experimental classes was better than the control group. The results of this study indicated that the PBL was more effective in improving students' mathematical literacy model than direct instruction.

The results showed that 12 of the developed mathematical problems were valid, practical and had potential effects for Junior High School learners.

Concept Map of Theoretical Framework

Different results emerged from a subsequent meta-analysis of 100 studies on gender differences in mathematics and 70 studies on gender differences in attitudes and affect related to mathematics (Frost, Hyde & Fennems, 1994). The results showed that males slightly outnumbered females in math achievement, while females' attitudes and affect toward mathematics were more negative. Overall, gender differences in math achievement and attitude and affect appeared to be small to moderate.

A more recent meta-analysis that analyzed gender differences in math performance in 242 studies published from 1990 to 2007 found that men and women are similar in math (Lindberg, Hyde, Petersen & Linn, 2010).

Methodology

Methods

This quantitative method is used to achieve the purpose of this research: to know the effect of the enrichment program on the mathematical literacy of the students. In addition, the survey design method was applied in this study to study the effect of the enrichment program on the students' motivation. However, the MEP's nature was one of communication and sharing ideas while solving problems together.

The external validity or generalizability of the study was limited by the potential pre-test effect.

The Study Participants

Study Instruments

  • The Proposed Mathematics Enrichment Program (MEP)
    • The Proposed MEP Development Principles
    • The Content of the Proposed Enrichment Program
    • Appropriateness of the Proposed Enrichment Program
  • The Mathematics Literacy Test (MLT)
    • The Mathematics Literacy Test (MLT) Components
    • The Mathematics Literacy Test Appropriateness
  • Motivation to Learn Mathematics Survey
    • Validity and Reliability of the Motivation Survey
  • The Perceptions Survey

Based on previous literature and related studies, the following principles were identified that underpin the development of the proposed enrichment program to improve students' mathematical literacy. This proposed enrichment program consisted of the four content areas of PISA mathematics literacy, which were Change and Relationship, Space and Shape, Quantity and Uncertainty. In addition, Table 7 describes the distribution of test items according to the dimensions of the PISA mathematics assessment framework.

The survey can be found in Appendix C; it consists mainly of seven-point multiple-choice Likert.

Table 5: Enrichment program content and time-range for lessons
Table 5: Enrichment program content and time-range for lessons

Ethical Considerations

After collecting and analyzing data on the learner's perceptions, the reliability of the perception survey was calculated. Cronbach's Alpha, the most common measure of scale reliability, was used to calculate reliability and was found to be 0.94, indicating very strong reliability (Gay, Mills & Airasian, 2012; Mills & Gay, 2019 ). In addition, for further ethical considerations to ensure the anonymity and confidentiality of the participants, the names of the students or personal information were not required for this study.

The Research Procedure

Weekly meetings were then scheduled to meet with the teachers to clarify everything about the implementation process. Where during the first week, both the experimental group and the control group, a pre-test of mathematical literacy and the survey of motivation were applied. In the tenth and last week, the mathematical literacy post-test and the motivation survey were administered to both the experimental and control groups.

In addition, students in the experimental groups were asked to express their opinion about the reported program through a survey in order to evaluate the program in its quantitative and qualitative part.

Data Analysis

However, these meetings were flexible based on the teacher's needs and ongoing discussions using WhatsApp to replace the actual meeting if necessary. Teachers were given the freedom to choose when to deliver both lessons in a manner consistent with the teachers' schedule to provide flexibility in completing the core curriculum as well. In addition, an independent t-test was performed to compare male and female MEP perceptions in tenth graders.

In addition, thematic analysis was used to analyze the qualitative portion of students' perceptions of MEP and their suggestions for improving the program.

Results

First Research Question

  • First Sub-question
  • Second Sub-question
  • Third Sub-question

In other words, the mathematical literacy of the female tenth graders in the experimental group improved as a result of the application of the MEP. RQ1b: What is the impact of the Mathematics Enrichment Program on the mathematics literacy of tenth grade male students. The effect of MEP on the adjusted mathematics literacy posttest of male students was investigated using ANCOVA.

The results of the one-way ANCOVA revealed that the mathematical literacy of the male tenth graders in the experimental group was improved as a result of the application of MEP.

Figure 11: The whisker plot graph of ML of the female groups
Figure 11: The whisker plot graph of ML of the female groups

Second Research Question

  • First Sub-question
  • Second Sub-question
  • Third Sub-question

RQ2a: What is the impact of the Mathematics Enrichment Program on tenth grade female students' motivation to learn mathematics. H0: There is no statistically significant difference between the experimental group and the control group on tenth grade female students' motivation to learn mathematics. RQ2b: What is the impact of the Mathematics Enrichment Program on tenth grade male students' motivation to learn mathematics.

The effect of the MEP on the adjusted motivation to learn math after the test of male students was investigated using ANCOVA.

Figure 22: The whisker plot graph of female group’s motivation
Figure 22: The whisker plot graph of female group’s motivation

Third Research Question

  • The Quantitative Part of the Perceptions Survey
  • The Qualitative Part of the Perceptions Survey

It is worth noting that the students were only ambivalent (M = 2.90) about deducting time in mathematics lessons for the implementation of the program. The time to study this program was good, I used the information about the program in my math periods.” Topic N Examples of improvement suggestions for MEP 1 time 16 “I liked the way the teacher discusses the program.

5 "Take more time with the program and do extra assessments to solve problems."

Table 31: Perceptions Survey Mean Scores
Table 31: Perceptions Survey Mean Scores

Summary

Discussion

Introduction

Discussion of Research Questions

  • First Research Question
  • Second Research Question
  • Third Research Question

Implications

  • Future Research
  • Curriculum Design
  • Instruction

Recommendations

Conclusion

Gambar

Table 2: Percentage of low achievers and high achievers in mathematics
Figure 1: The PISA 2012 mathematical literacy framework
Figure 2: Mathematical literacy framework for PISA 2021
Figure 3: Schematic diagram of the process of modeling
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