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The academic self–efficacy beliefs of disadvantaged gifted black middle school students in the North West province of South Africa

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INTRODUCTION AND STATEMENT OF THE PROBLEM

AIM OF THE STUDY

The purpose of this research was to find answers to the above-mentioned questions, to determine the influence of some variables on academic success and academic self-efficacy beliefs of disadvantaged gifted students. The investigator felt that finding answers to the above-mentioned questions was essential to contribute to a good understanding.

RESEARCH HyPOTHESES

METHOD OF RESEARCH

Review of the literature

There is a relationship between certain variables and the self-efficacy beliefs of disadvantaged gifted students. There is a statistically significant relationship between the self-efficacy strength of the disadvantaged gifted students and their self-efficacy level (r=0.76; p < 0.05).

Empirical study

ORGANIZATION OF THE STUDy

The influence of self-efficacy on task choice

The influence of self-efficacy on persistence and effort

The influence of self-efficacy on choice of learning

According to Schunk (in press), self-efficacy is one of the personal processes involved in the learner's self-responses. Students with low self-efficacy put in less effort and can no longer persevere when faced with difficulties.

INTRODUCTION

DEFINITIONS OF GIFTEDNESS

The single-trait view of giftedness

There is also a statistically significant relationship between the self-regulated learning strategies of the disadvantaged non-gifted students and their. Certain variables influence the academic performance of disadvantaged gifted students and disadvantaged non-gifted students.

The multi-trait view of giftedness

CHARACTERISTICS OF GIFTED STUDENTS

Ability to learn quickly: Gifted students learn very quickly, more especially when they are interested in a topic or subject (parke, 1989:20). Leadership abilities: Gifted students are more reliable, have healthy social attitudes and are more emotionally stable (Wall ace.

IDENTIFICATION OF GIFTED STUDENTS

  • Educational and psychological testing
  • Identification by teachers
  • Identification by parents
  • Identification by peers
  • Self-identification

Achievement tests are also used to identify gifted students and are specifically designed to detect academic giftedness (Davis & Rimm, 1989:76). In South Africa, tests that can be used to identify gifted students include group intelligence tests and individual intelligence tests (Kokot, 1992:57).

CHARACTERISTICS OF DISADV ANT AGED GIFTED

There is a difference between disadvantaged gifted students and disadvantaged non-gifted students on some variables. There is a statistically significant relationship between the level of self-efficacy of disadvantaged gifted students and their achievement in mathematics (r=0.39; This confirms that self-efficacy beliefs of disadvantaged gifted students influence their choice of tasks (see par. .

However, there is no statistically significant relationship between the self-regulated learning strategies of disadvantaged gifted students and their self-efficacy level. This means that there is a relationship between self-regulated learning strategies and the self-efficacy beliefs of disadvantaged gifted students. There is a relationship between certain variables and the academic performance of underprivileged gifted students and underprivileged non-gifted students.

TABLE 4.1:  Study population.
TABLE 4.1: Study population.

PROBLEMS WITH THE IDENTIFICATION OF

Mediocre performance

Test bias

Achievement and intelligence tests tend to favor the same culture in which they were developed, which is usually the dominant culture (eg whites in South Africa) with which the disadvantaged are unfamiliar (Ehrlich, 1987:61). Disadvantaged gifted students grow up in conditions that are intellectually unstimulating to the extent that their potential is usually underdeveloped.

Identification by teachers

For example, a disadvantaged gifted child will not perform as well as he should on tests of verbal ability because of his impoverished home environment that is not linguistically stimulating in terms of the language in which the tests are written, such as English (Davis & Rimm, 1989: 284).

Bilingualism

The North West Province of South Africa, where English is used as the medium of instruction from Standard 3, while many black children, especially those from parents of low socio-economic status, do not know English. Identification tests constructed in the second language of the disadvantaged students do not allow them to perform as well as they should in these tests and, as a result, they cannot be identified as gifted (Van den Berg, 1989:93 ).

CONCLUSION

The chapter concluded with a discussion of the problems experienced with identifying disadvantaged gifted students. As Henegar says, the methods used to identify gifted students put disadvantaged gifted students at a disadvantage because their language, cultural and home background are not taken into account when interpreting the results.

INTRODUCTION

AIM OF THE RESEARCH

No statistically significant correlations were found between the self-efficacy level of the disadvantaged non-gifted students and their performance in mathematics, science and biology. There is a statistically significant correlation between the disadvantaged gifted students' performance in science and their performance in biology (r=0.98; p < 0.05). There is also a statistically significant correlation between the disadvantaged non-gifted students' performance in science and their performance in biology (r=0.97; p < 0.05).

To determine the influence of the independent variables on the self-efficacy strength of the disadvantaged gifted students and the disadvantaged non-gifted students, an analysis of variance was conducted. Relative to the disadvantaged non-gifted students, the contribution to R2 of only three of the independent variables is statistically significant. Disadvantaged gifted students and disadvantaged non-gifted students differ on certain variables.

EXPERIMENTAL DESIGN

STUDY POPULATION AND IDENTIFICATION OF GIFTED

Study population

In the disadvantaged non-gifted students, the contribution to R2 of only three of the independent variables is of statistical significance, i.e. in the disadvantaged non-gifted students, the contribution to R2 of only two of the independent variables is of statistical significance. .

Identification of disadvantaged gifted students and disadvantaged

INSTRUMENTATION

  • Scales for Rating Behavioural Characteristics of Superior Students
  • Self-Efficacy Questionnaire (SEQ)
  • Motivated Strategies for Learning Questionnaire (MSLQ)
  • Socio-Economic Status and Biographical Questionnaire

Teachers were asked to rate students on a four-point scale value for each descriptor in each of the four categories. Because some subjects in the sample had language deficits, precautions were taken to ensure that they understood the instructions by including two sample passages and explaining difficult words from the passages, questions, and answers.

VARIABLES USED IN THE STUDY

Independent Variables

The academic achievement section asked students to list the grades they achieved in English, maths, science and biology in mid-term exams. The evaluation sheet for the mid-term exams was obtained by each school, and the evaluations for each student in the sample were entered by the researcher himself.

Dependent Variables

PROCEDURE

Identification of subjects

Administration of the tests

  • Self-Efficacy Questionnaire (SEQ)
  • Motivated Strategies for Learning Questionnaire (MSLQ)
  • Socio-Economic Status and Biographical Questionnaire

The average time it took the subjects from all four high schools to complete the first part of this questionnaire was forty-five minutes. The average time it took students from all four secondary schools to complete part two of the questionnaire was 65 minutes, after which they had a 30-minute break.

STATISTICAL TECHNIQUES

There is a relationship between some variables and academic success of disadvantaged gifted students and disadvantaged non-talented students. Analysis of Tables 5.4 and 5.5 shows that the independent variables together explain 11.9 percent (R2=0.1198) of the variance in the English achievement of disadvantaged gifted students compared to 33 percent (R2=0.3303) of disadvantaged non-gifted students. Analysis of Tables 5.6 and 5.7 shows that the Czbirno independent variables explain 37.6 percent (R2=0.3767) of the variance in mathematics achievement of disadvantaged gifted students compared to 20.9 percent (R2=0.2094). ) disadvantaged untalented students.

With regard to the underprivileged gifted students, the contribution to R2 of only three of the independent variables is of statistical significance. An analysis of Tables 5.8 and 5.9 indicates that the independent variables collectively explain 22.5 percent (R2=0.2254) of the variance in the science performance of the disadvantaged gifted students, compared to 16.3 percent (R2=0, 1639) of the underprivileged non-gifted students. This means that there is a relationship between the use of cognitive strategies and the academic self-efficacy beliefs of underprivileged gifted students and underprivileged non-gifted students.

TABLE  5.1:  Means  and  standard  deviations  of  disadvantaged  gifted  students  (N=40)  and disadvantaged non-gifted students  (N=40)
TABLE 5.1: Means and standard deviations of disadvantaged gifted students (N=40) and disadvantaged non-gifted students (N=40)

CONCLUSION

INTRODUCTION

As stated in paragraph 1.2, the aim of this study was to determine the influence of certain variables on academic self-efficacy beliefs and academic achievement of disadvantaged gifted students. To get a clear picture of how certain variables influence the academic achievement and self-efficacy beliefs of disadvantaged gifted students, we compared a group of disadvantaged gifted students to a group of disadvantaged non-gifted students on a number of variables.

HYPOTHESES

CATEGORIZATION OF THE VARIABLES USED IN THE

A COMPARISON BETWEEN DISADVANTAGED GIFTED

The differences in self-efficacy strength (difference 0.41; d=0.2) and self-efficacy level (difference 0.65; d=0.1) between the underprivileged gifted students and the underprivileged non-gifted students are not only small but also of little educational significance. Therefore, compared to the disadvantaged non-gifted students, underprivileged gifted students are not characterized by superior self-efficacy.

THE INFLUENCE OF THE INDEPENDENT VARIABLES

  • Correlation coefficients with relation to academic achievement
  • The influence of the independent variables on achievement
  • The influence of the independent variables on achievement
  • The influence of the independent variables on achievement
  • Variables that make a statistical and educational significant

With respect to non-gifted disadvantaged students, the contributions of the independent variables to science achievement are not of statistical significance and are also of little educational significance due to small effect sizes. An analysis of Tables 5.10 and 5.11 shows that the independent variables together explain 27.8 percent (R2=0.2784) of the variance in the Biology achievement of gifted disadvantaged students compared to 18.9 percent (R2=0, 1892 ) of disadvantaged non-talented students.

TABLE  S.2:  Correlation coefficients of the disadvantaged gifted students.
TABLE S.2: Correlation coefficients of the disadvantaged gifted students.

THE INFLUENCE OF THE INDEPENDENT VARIABLES

Correlation coefficients with relation to self-efficacy beliefs

Strength of self-efficacy is an important variable influencing the achievement of gifted students in mathematics, science, and biology. No statistically significant correlations were found between the level of self-efficacy of disadvantaged non-talented students and their achievements in mathematics, science and biology and other variables.

The influence of the independent variables on self-efficacy

It can therefore be concluded that self-regulated learning strategies are an important variable affecting the self-efficacy of disadvantaged gifted students. It can therefore be concluded that the ability to use self-regulated learning strategies is an important variable influencing the self-efficacy beliefs of disadvantaged gifted students.

TABLE 5.13:  Contribution  of the  independent  variables  to  Rl  of gifted  students
TABLE 5.13: Contribution of the independent variables to Rl of gifted students

The influence of the independent variables on the self-efficacy

We can therefore conclude that the same set of variables has a different effect on the level of self-efficacy of disadvantaged gifted students and disadvantaged non-talented students. Self-regulated learning strategies and the use of cognitive strategies were found to be the most important variables influencing the self-efficacy beliefs of disadvantaged gifted students.

TABLE  5.20:  Contribution  of  the  independent  variables  to  R2  of  disadvantaged non-gifted students
TABLE 5.20: Contribution of the independent variables to R2 of disadvantaged non-gifted students

INTRODUCTION

STATEMENT OF THE PROBLEM

REVIEW OF THE LITERATURE

Sources of self-efficacy

The influence of self-efficacy on learning

Gifted students and disadvantageness

The identification of gifted students and non-gifted students was carried out with the help of the Scales for assessing the behavioral characteristics of excellent students (SRBCSS) (section 4.4.2). When writing a test, I can focus more than half the time on answering the questions. I can effectively write down important facts that are mostly explained by the teacher.

I can make summaries of the main ideas of the work I have to prepare for a test.

Gambar

TABLE 4.1:  Study population ...........................................................
FIGURE 1:  The general expectancy-value model of motivation
TABLE 4.1:  Study population.
TABLE 4.2:  Distribution of students among schools.
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