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Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics

(A Case Study Of Public Secondary Schools In Kiambu County, Kenya)

5 Chapters
|
90 Pages
|
19,632 Words
|
Mathematics Education

Complete Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics Project Materials (Chapters 1 to 5):

ABSTRACT

Despite ongoing reform efforts, mathematics underachievement persists, prompting further research into overlooked factors. Student attitudes towards mathematics significantly influence learning and achievement, making this a crucial area of study. This research aimed to investigate the impact of student attitudes on mathematics learning and achievement by exploring their attitudes and identifying influential factors. By understanding how attitudes shape learner behaviors, this study can inform strategies to foster positive attitudes, leading to improved learning outcomes.
The study employed a descriptive survey design, sampling seven public secondary schools in Kiambu county, with form four students as the target population. Purposive and random sampling techniques were used to select schools and students, respectively. Data collection relied on student questionnaires, adapted from the Fennema-Sherman attitudes scales, to capture perceptions and beliefs about mathematics. The data was analyzed using SPSS and Excel, with findings indicating that most students hold positive attitudes towards mathematics, perceiving it as accessible, important, and learnable. However, this did not translate to high academic achievement.
The study revealed that students’ motivation and outcomes are influenced by their perceptions, beliefs, learning abilities, and past performances. To address this, the study recommends teachers adopt varied instructional strategies that promote discovery and learner interest. Students should be encouraged to apply knowledge and skills through feedback and assignments. By providing experiences and opportunities that inspire engagement and value mathematics, students can develop a positive attitude, leading to improved learning and achievement

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Project Structure

The introduction of Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics should start with the relevant background information of the study, clearly define the specific problem that it addresses, outline the main object, discuss the scope and any limitation that may affect the outcome of your findings

Literature Review of Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics should start with an overview of existing research, theoretical framework and identify any gaps in the existing literature and explain how it will address the gaps

Methodology of Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics should describe the overall design of your project, detail the methods and tools used to collect data explain the techniques used to analyse the collected data and discuss any ethical issues related to your project

Results should include presentation of findings and interpretation of results

The discussion section of Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics should Interpret the implications of your findings, address any limitations of your study and discuss the broader implications of your findings

The conclusion of Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics should include summarize the main results and conclusions of your project, provide recommendations based on your findings and offer any concluding remarks on the project.

References should List all the sources cited in Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics project by following the required citation style (e.g., APA, MLA, Chicago).

The appendices section should Include any additional materials that support your project (Students’ Attitudes And Their Effects On Learning And Achievement In Mathematics) but are too detailed for the main chapters such as raw data, detailed calculations etc.