SciELO - Scientific Electronic Library Online

 
vol.37 issue2School-based assessment: the leash needed to keep the poetic 'unruly pack of hounds' effectively in the hunt for learning outcomesA feminist post-structuralist analysis of an exemplar South African school history text author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

    Related links

    • On index processCited by Google
    • On index processSimilars in Google

    Share


    South African Journal of Education

    On-line version ISSN 2076-3433Print version ISSN 0256-0100

    S. Afr. j. educ. vol.37 n.2 Pretoria May. 2017

    https://doi.org/10.15700/saje.v37n2a1372 

    Pre-service accounting teachers' attitudes to mathematics

     

     

    Msizi Vitalis MkhizeI; Suriamurthee Moonsamy MaistryII

    ISchool of Accounting, Economics and Finance, College of Law and Management Studies, University of KwaZulu-Natal, Durban, South Africa. mkhizem4@ukzn.ac.za
    IISchool of Education, College of Humanities, University of KwaZulu-Natal, Pinetown, South Africa

     

     


    ABSTRACT

    Mathematics proficiency has an acknowledged impact on students' accounting grades. Success in this core business subject is dependent on students' mathematical aptitude, attitude and type of secondary schooling. Our study investigated accounting students' attitudes to mathematics on domains of the Fennema-Sherman Mathematics Attitudes Scales (F-SMAS) and identified demographic variables in overall attitudes to mathematics, which are pertinent to higher education pedagogy for accountancy. Eight of nine F-SMAS with established reliability and validity were used for the study. A cross-sectional data set containing demographic details and attitudes to mathematics were collected, and quantitative responses of 255 first-, second- and third-year pre-service teachers were analysed. The F-SMAS scores were strongly positive, except for mathematics anxiety, where the score was slightly above neutral. The distribution of scores showed that there are first- and second-year students who experience mathematics anxiety, and have low scores in other domains, while third-year students are less anxious. The results also revealed more positive overall attitude to mathematics from specific categories of students, who also more frequently indicated parents and teachers as sources of support and encouragement for mathematics studies.

    Keywords: accounting; attitudes; mathematics; pre-service accounting teachers; teaching


     

     

    Introduction

    Accounting is a course taken by Bachelor of Education (B.Ed.) commerce pre-service accounting teachers at the University of KwaZulu-Natal. The accounting course exposes pre-service accounting teachers to recording of business transactions and analysing and interpreting of financial information. Pre-service accounting teachers perform a variety of calculations in an accounting course: for example, calculating and comparing company financial ratios, calculating dividends for the year, and calculating provisional taxation, weighted average price, etc. Pre-service accounting teachers are scored and credited for showing calculations or workings and recoding in the correct journal. Pre-service accounting teachers in an accounting class are thus expected to have mathematical competence and problem-solving skills.

    In South Africa, Grade Nine learners who find mathematics challenging enroll for mathematical literacy in Grades 10 to 12. Either Mathematics or Mathematical Literacy at Grade 12 level is an entry requirement for a B.Ed. Accounting degree in the School of Education at the higher education institution (HEI) which is the setting for this study (UKZN, 2013). Jacobs (2006) notes that the experiences of students at tertiary level, particularly during the first year, are significantly informed by their experiences at school. This study assumes, therefore, that there is a special relationship between success in accounting and competence in mathematics, since, as Naidoo (2011) points out, in both mathematics and accounting there is either a right or a wrong answer, the calculation of which demands that students work at a quick pace on exercises or assessments, creating circumstances for much anxiety.

    University lecturers around the world report lack of adequate mathematical knowledge and computational skills in beginning students (Fedoryshyn, O'Brien, Hintz & Bosner, 2010; Heck & Van Gastel, 2006; Stainbank, 2013). It is therefore not surprising that the relationship between competence and attitude to mathematics of students and the study of subjects that depend on certain levels of mathematics competence continues to be a focus of interest both locally and internationally. Research into this issue in emerging-economy contexts like South Africa is important, as it has much potential for also informing educational contexts in advanced economy contexts, where immigration has presented new challenges for those education systems too. Student diversity and unevenness in mathematics preparedness increasing affect first-world learning contexts. As such, mathematics anxiety issues are likely to pertain in classrooms worldwide, and insights into these issues and how they may impinge on the study of commercial subjects, whether in developing or advanced economies, will have wide pertinence for funders interested in developmental advancement of mathematics and commerce.

    The research questions in our study were formulated as follows: what are accounting students' attitudes to mathematics on eight domains of the Fennema-Sherman Mathematics Attitudes Scales? What is the relationship between overall attitudes to mathematics (F-SMAS total) and demographic variables? How do attitudes towards mathematics relate to learning and achievement in accounting?

    Literature Review

    A study by Latief (2005) on throughput of University of Western Cape students who did at least one semester of third-year statistics, suggested that in all quantitative subjects where mathematical calculations and abstract thinking are required, pure mathematics must be a prerequisite. Consistent with this study, Stainbank (2013), researching the impact of National Senior Certificate (NSC) Mathematics on the performance of first-year commerce students - Bachelor of Commerce (BCom) Accounting or BCom General, found that the university courses in which performance was most strongly related to school mathematics performance were Accounting 101 (ACC101), Economics 101 (ECN101), Information Systems and Technology 101 (ISTN101), Manage-ment 101 (MGNT101), and Quantitative Methods 1 (MATH134). She concluded her study by sugg-esting that the entrance requirement should be raised. Research by Barnes, Dzansi, Wilkinson and Viljoen (2009) on factors influencing success or failure in first-year accounting at another South African HEI (Central University of Technology) found on the other hand that performance in Grade 12 mathematics did not significantly correlate with performance in Financial Accounting I (p = 0.152 > 0.05). They also found no significant relationship between age and performance in Financial Accounting I (p = 0.240 > 0.05), nor was significant difference found between the performance of female students and male students (p = 0.69 > 0.05). Notably, the issue of mathematics anxiety was not a specific focus in their study.

    Attitude is defined as a learned predisposition or tendency on the part of an individual to respond positively/favourably or negatively/unfavourably to a particular object, person or idea/situation (Ajzen & Fishbein, 2000; Haladyna, Shaughnessy & Shaughnessy, 1983; McLeod, 1992). The term attitude is borrowed from social psychology and is often used in everyday speech to characterise feel-ings, emotions or behaviour (Abbas, 2011).

    Research indicates that attitude has three components: (i) the cognitive component repre-senting beliefs - what we think to be true; ideas, thoughts, or pieces of knowledge that come to mind when a person encounters the attitude object; for example, a person might think that a snake is a dangerous reptile; (ii) the affect component, representing moods, emotions, and sympathetic nervous system activity that a person experiences when encountering the attitude object; for example, the sight of a snake may evoke feelings of fear in the individual; and (iii) the behavioural component - the tendency to respond in a certain way (actual and intended behaviour) to the attitude object; for example, choosing to run away or scream on seeing a snake. These three components are interrelated and interconnected (Mensah, Okyere & Kuranchie, 2013).

    Attitudes are veiled, not directly observable or measurable. Attitudes can be measured by sets of statements created and sorted as positive or negative. Attitudes are thus calculated from res-pondents' statements (Thurstone, 1928). Attitudes can also be measured using 5- to 11-point Likert scales, where respondents indicate agreement with groups of statements and reliability is calculated for individuals or groups by summation of scores (Likert, 1932).

    For this article, the cognitive component refers to what pre-service accounting teachers think or believe about mathematics (e.g. its usefulness, its self-efficacy), the affect component refers to the range of emotions (feelings, beliefs, moods) that they experience in relation to mathematics (e.g. motivation, anxiety), and the behavioural com-ponent refers to their tendency to respond in a particular way to mathematics as result of their experiences with it in the classroom (learning habits).

    The widely used Fennema-Sherman Mathe-matics Attitude Scale (F-SMAS) (Fennema & Sherman, 1976) which we apply here covers nine affect scales (dimensions) that measure specific attitudes related to mathematics learning: (i) attitude towards the success in mathematics scale; (ii) mother scale; (iii) father scale; (iv) teacher scale; (v) confidence in learning mathematics scale; (vi) mathematics anxiety scale; (vii) effectance moti-vation in mathematics scale; and (viii) mathematics usefulness scale. The introduction of the F-SMAS instrument accomplished two concurrent objectives: it was the first to assess as many as four components of student affect (attitude, confidence, anxiety, and value of mathematics), and it assisted in identifying gender issues in the field of mathematics. The five additional scales focused on student perception of mother, father, and teacher interest in maths - since attitudes are influenced by parents, friends, teachers, and other models (Jazdzewski, 2011:7) - and on the usefulness of mathematics (Chamberlin, 2010:174).

    The F-SMAS is well-suited to our study because of the specificity of the detailed domains that are included. Over the last three decades there has been extensive use of the F-SMAS in the assessment of affect in any field to evaluate students of various groups, race backgrounds, and gender at academic grade levels ranging from school to tertiary level (Bramlett & Herron, 2009; Chamberlin, 2010; Forgasz, Leder & Kloosterman, 2004; Galbraith & Haines, 1998; Kloosterman & Stage, 1992; Martin, 2002; Tapia & Marsh, 2004), and the instrument continues to have significant influence in ongoing research (Wilson, 2011). In our study, the terminology was adapted where necessary to suit the South African context. Table 1 shows the definitions for the F-SMAS (1976) domains used in the study.

    Fennema and Sherman (1977), applying the F-SMAS to high school students' attitudes, found that male students had higher scores on attitude scales: on confidence in learning mathematics, on viewing mathematics as a male domain, on attitude towards success in mathematics, on mother's support, on father's support and on usefulness of mathematics. Bramlett and Herron (2009), using F-SMAS on attitudes to mathematics of African-American college students enrolled in algebra, found that none of the scales had a mean value that indicated an overall negative attitude score, even though the students surveyed had a high failure rate in the course. The mean values of the nine domain scores ranged from a slightly above average or neutral attitude to a positive attitude. The Bramlett and Herron study showed the following ranking order in the F-SMAS: (1) the attitude towards success in mathematics scale; (2) the mathematics as a male domain scale; (3) the mathematics usefulness scale; (4) the teacher scale; (5) the confidence in learning mathematics scale; (6) the father scale; (7) the mother scale; (8) the mathematics anxiety scale; and (9) the effectance motivation in mathematics scale. The rank order indicated that students see the importance of success in mathematics but do not want to put in more effort or work harder doing mathematical problems. Dogbey (2010) investigated the attitudes towards mathematics of developmental students in six community colleges from a large Midwestern state in the United States and reported that community college developmental mathematics students generally showed fairly positive attitudes to mathematics: male domain and success showed highly positive attitudes, teacher and usefulness showed slightly positive attitudes, and confidence, anxiety and motivation showed attitudes which were indifferent or mixed. Mohamad and Waheed (2011), who investigated students' attitudes to mathematics and gender differences in attitude to mathematics in selected schools in the Maldives, found a medium positive student attitude to mathematics, which meant there was possible room for improvement despite low performance of Maldivian secondary students in mathematics. The domains used in the study were confidence in learning mathematics and mathematics usefulness.

     

    Research Methodology

    The following methods were adopted in conducting the study.

    Research Design, Sampling, and Analysis

    A cross-sectional data set was collected containing demographic details and attitudes to mathematics, and quantitative responses (255) were analysed of first- (179), second- (85), and third-year (35) pre-service accounting teachers. All statistical analysis used SPSS version 21.0 (SPSS Inc., Chicago, Illinois, USA). For statistical comparisons, the 5% significance level was used.

    Instrument for the study: The F-SMAS with established reliability and validity consists of nine instruments: (i) attitude towards success in mathe-matics scale, which attempts to measure the degree to which students anticipate positive or negative consequences as a result of success in mathematics; (ii) mother and (iii) father scales, which attempt to measure students' perception of their mother's and father's interest, encouragement, and confidence in the student's ability; (iv) teacher scale, which attempts to measure students' perceptions of their teacher's attitudes towards them as learners of mathematics; (v) confidence in learning mathe-matics scale, which attempts to measure confidence in one's ability to learn and to perform well on mathematics tasks; (vi) mathematics anxiety scale, which attempts to measure students' level of mathematics anxiety and the effect on doing mathematics; (vii) effectance motivation scale in mathematics, which attempts to measure effectance as applied to mathematics; and (viii) mathematics usefulness scale, which attempts to measure students' beliefs about the usefulness of mathe-matics currently (Fennema & Sherman, 1976). Eight of the nine scales were selected. Excluded was the mathematics as a male domain scale, because the instrument developer, Dr Elizabeth Fennema, recommended its elimination on the grounds that it had not shown significant results in prior studies (Martin, 2002:67). The following minor changes in language were made to suit the South African context: "math" to "maths" or "mathematics", "grades" to "marks/scores", "mom" to "mother", "dad" to "father".

    Domain-specific attitudes relating to cognitive performance and learning in mathematics are the foundations of the scale, and some domains are not technically attitude, but have been termed as such to facilitate communication (Martin, 2002). Each of these scales contained twelve items, with six measuring positive attitudes to mathematics, and six measuring negative attitudes. Each of the five possible Likert-scale responses - strongly agree, agree, not sure, disagree, and strongly disagree - were given a value of 5 to 1, respectively, for positively stated questions and 1 to 5, respectively, for negatively stated questions. The minimum possible score was 12 and the maximum possible score was 60. A higher score indicates a more positive attitude to mathematics and a lower score indicates a more negative attitude to mathematics.

    The questionnaires were administered to all pre-service accounting teachers at the beginning of the semester at a university in South Africa. Convenience sampling was used in this study because the pre-service accounting teachers are based at the HEI and easy to reach in person. All pre-service accounting teachers at the HEI were requested to participate in the study and were informed verbally and in writing that their participation in this study was completely volun-tary. The objective in including all pre-service accounting teachers was to get a larger sample. Another objective was to look for trends across the years and in pre-service accounting teachers who major in mathematics. Pre-service accounting teachers signed an informed consent form and gave permission for their responses to be used for research purposes.

    A quantitative correlation involved the collection of accounting mark sheets to determine the relationship between learning and achievement in accounting in relation to attitudes towards mathematics among Accounting 210, 220, 310, 320, 410 and 420 pre-service accounting teachers. The sample consisted of 128 responses from Accounting 210, 112 from Accounting 220, 62 from Accounting 310, 53 from Accounting 320, 31 from Accounting 410 and 27 from Accounting 420. The numbers differ because of dropouts. Academic achievement was measured by the marks obtained by the sample in their recently held accounting examination at the HEI. The data obtained were analysed and interpreted using the statistical tool of correlation coefficient. A significantly strong relationship between attitudes towards mathematics and achievement in accounting is associated with a correlation above .40 and not very strong (weak or low), from a practical perspective, relates to corre-lation ranging from .20 to .40 in absolute value (Mubeen, Saeed & Arif, 2013).

     

    Results

    Table 2 shows the minimum scores, maximum scores, mean scores and standard deviations for the domain responses and F-SMAS total.

    Each domain had 12 items, the first six positively scored and the second six negative-ly/reverse scored. Each response item on the domains received a score of 5 (strongly agree) to 1 (strongly disagree) respectively for positively weighted items, and 1 (strongly agree) to 5 (strong-ly disagree) respectively, for negatively weighted items. A minimum possible score for each domain is 1 x 12 = 12, neutral score is 3 x 12 = 36 and a maximum possible score is 5 x 12 = 60. The composite or overall or F-SMAS total was calcu-lated to provide an overall measure of attitude to mathematics. A minimum possible F-SMAS total for all the eight domains is 12 x 8 = 96, neutral F-SMAS total is 36 x 8 = 288 and maximum F-SMAS total is 60 x 8 = 480.

    Mathematics anxiety subscale, a summary of the responses is presented in Table 3. The 12 items in combination tested agreement on the construct of mathematics anxiety.

    Each of the attitude domains for the entire group of pre-service teachers was measured by the mean scores. The mean gives an idea of the overall attitude of all 255 students. A mean greater than thirty-six (M > 36.00) represents positive attitude to mathematics, mean equal to thirty-six (M = 36.00) represents neutral or indifferent attitude to mathe-matics, and mean less than thirty-six (M < 36.00) represents a negative attitude to mathematics. Examination of the mean scores for each dependent variable (domain) revealed that students' attitudes were positive for attitude to success in mathematics (50.00), usefulness of mathematics (47.35), teach-er's mathematics attitude (47.31), mother's mathe-matics attitude (46.85), father's mathematics atti-tude (46.15), confidence in doing mathematics (41.57), and effectance motivation in doing mathe-matics (40.13), while a mean score for mathematics anxiety (36.97) revealed that students' attitude was slightly above neutral. The overall F-SMAS (Total) mean score (356.33) revealed a positive attitude to mathematics.

    Table 4 shows no significant differences in attitudes to mathematics among first-, second- and third-year students (p > .050).

    Spread of Domain and Overall Scores on the F-SMAS Survey

    The overall means revealed in the survey conceal important differences between individual student responses. The spread of domain and overall scores for first-, second- and third-year students is shown in Figures 1-3.

    The large number of outliers evident in Figure 1 indicates the diversity in the class. Almost all the students in the first year agree with statement "I would be proud and happy to do well in mathe-matics" but only just over half the students are above neutral in the mathematical anxiety scale (i.e. in agreement with the statement "I am not anxious about doing mathematics"). So despite the overall F-SMAS score being positive for the cohort, there are many students who experience anxiety in doing mathematics and have low scores in the other domains.

    On the mathematical anxiety scale in Figure 2, roughly two-thirds of the second-year students are below neutral. Many thus do experience anxiety in doing mathematics, and they also have low scores in other domains. Notably, the median and variation in Figure 3 indicate that the third-year accounting students are less anxious than the first-year and second-year accounting students.

    Comparison of F-SMAS Total with the Demographic Variables

    Table 5 shows overall attitudes to mathematics disaggregated by gender, age, race, mother tongue, mathematics schooling background, year of study, and location of schooling.

    Correlations

    The correlations between dimensions of attitudes towards mathematics and achievement in account-ing modules studied in the year of the research have been computed. The results are tabulated in Table 6. It should be noted that six different modules of accounting were used as to measure accounting achievement (the two modules in the current year of study). This does effect the comparability of the results across the year groups, but nevertheless some trends can be noticed.

     

    Discussion of Research Results

    Surprisingly, the study found that all domains showed means reflecting positive attitude to mathematics, and the F-SMAS total (overall) likewise showed a positive attitude. No significant differences were found between first-, second- and third-year students (p > .050). Although students may habitually complain about mathematics, it appears that when they are presented with a questionnaire they become much more positive. Bramlett and Herron (2009) found similarly that none of the F-SMAS had a mean value indicating an overall negative attitude score; likewise Dogbey (2010) reported that community college develop-mental mathematics students showed a fairly positive attitude to mathematics. Mohamad and Waheed (2011), using confidence and usefulness scales, found that positive attitude of students was medium, meaning there was room for improve-ment.

    In our study, mean values for each of the domains ranged from slightly above neutral attitude to highly positive attitude. Examination of each domain mean indicated that students would be happy and proud to do well in mathematics; that they perceive usefulness of mathematics as important and relevant to their teaching job; that they feel that teachers, mothers and fathers (in that order) are sources of encouragement, support and affirmation for their efforts in mathematics; that they see confidence in doing mathematics as important, along with the motivation that comes from success with challenging calculations in accounting. Al-though student attitudes to mathematics are positive (somewhat contrary to expectation) an element of mathematics anxiety is nonetheless still there.

    The results also revealed that Indian students, mother-tongue English students, Mathematics stu-dents and suburban students indicated more positive overall attitude to mathematics than did African students, mother-tongue Zulu students, Mathematical Literacy students, rural students and township students. The same students also indi-cated parents and teachers as sources of support, encouragement and affirmation in mathematics. This could be seen as a reflection of more favourable socio-economic conditions and education background in South Africa for Indian, mother-tongue English and suburban students than for African, mother-tongue Zulu, rural and township students.

    However, a closer look at the distribution of scores revealed that while almost all the accounting students agreed with the statement "I would be proud and happy to do well in mathematics", there were fewer positive responses on the mathematical anxiety scale (i.e. responses in agreement with the statement "I am not anxious about doing mathe-matics"): positive responses (above neutral) came from just over half of the first-year accounting students, one-third of the second-year students, and half of the third-year students. Thus, although the overall F-SMAS score for the cohort of accounting students was positive, many students do none-theless experience mathematics anxiety, and also have low scores in the other domains. Furthermore, in the distribution of scores the median for third-year accounting students is greater than the medians for first- and second-year accounting students (which are almost the same). First- and second-year accounting students recorded both higher and lower mathematics anxiety scores (larger variation) than did third-year students (smaller variation), indicating that the third-year accounting students are less maths anxious than first- and second-year students.

    Mathematics is connected to accounting achievement, but the connection is not very strong. The effect of mathematics in accounting achieve-ment dissipates with time as students move further into their studies. In the first year of accounting, the correlations are all low indicating only a small connection (albeit statistically significant in some cases) between accounting achievement and affect-ive factors. There is a low positive and significant correlation between perception of support of teacher and achievement in Accounting 210. There is no significant correlation between perception of support of teacher and achievement in Accounting 220. This was possibly due to a change of teacher, as Accounting 210 and Accounting 220 had different accounting teachers. A low positive corre-lation was found between motivation in doing mathematics, perception of usefulness of mathe-matics, confidence in doing mathematics, and overall attitudes towards mathematics and achieve-ment in Accounting 210 and 220. Home factors were not significantly related to achievement for Accounting 210 and 220.

    In the second year of accounting, a low positive correlation was found between mathematics anxiety and achievement in Accounting 310. No correlation was found between mathematics anxiety and achievement Accounting 320.

    In the third year of accounting, a low positive correlation was found between overall attitudes towards mathematics and perception of support of mother and achievement in Accounting 410. A strong positive correlation 420 was found between motivation in doing mathematics, confidence in doing mathematics and overall attitudes towards mathematics and achievement in Accounting. When students get into their fourth year, there is a relationship between motivation, confidence and positive attitudes towards mathematics and achievement in Accounting 420. One could conjecture that this is because students want to finish off their studies in the final year of accounting.

     

    Conclusion and Implications for Higher Education

    The results of the study show all the domains of the F-SMAS to be highly positive except for the mathematics anxiety subscale, which is slightly positive. The distribution of scores shows in addi-tion that some students have low scores in some domains (e.g. mathematics anxiety, mother sub-scale, father subscale, teacher subscale etc.). More positive overall attitude to mathematics came from Indian, mother-tongue English, Mathematics and suburban students.

    In the first-year accounting, there is a low positive and significant correlation between percep-tion of support of teacher and achievement in Accounting 210. No significant correlation was found between perception of support of teacher and achievement in Accounting 220. This is due to a change of teacher, as Accounting 210 and Account-ing 220 had different accounting teachers. A not very strong but significant positive correlation was found between motivation in doing mathematics, perception of usefulness of mathematics, confi-dence in doing mathematics, and overall attitudes towards mathematics and achievement in Account-ing 210 and 220. Home factors were not significant for Accounting 210 and 220.

    In the second year of accounting, there is a low or not strong and significant connection between mathematics anxiety and achievement in accounting. There is no correlation between mathe-matics anxiety and achievement in Accounting 320. This mathematics anxiety dissipates in Accounting 320. The teacher in this instance specifically covered mathematical calculations when teaching accounting and did not to make it an issue to be concerned about. This could possibly be explained by the explicit integration of mathematics and accounting in the class, which is something that could be carried forward having already set it in place. When students start Accounting 310, mathe-matics anxiety is evident. The higher the agreement that mathematics is useful, the better students perform and the higher the agreement that they are not anxious, the better they do Accounting 320.

    In the third year of accounting, a low and significant connection was found. Between overall attitudes towards mathematics and perception of support of mother and achievement in Accounting 410 a strong significant connection was found between motivation in doing mathematics, confi-dence in doing mathematics and overall attitudes towards mathematics and achievement in Account-ing 420. When students get into their fourth year, there is a relationship between motivation, confi-dence and positive attitudes towards mathematics and achievement in Accounting 420 because students want to finish off their studies in the final year of accounting.

    Mathematics anxiety thus might continue to be a factor potentially affecting student performance in mathematics-dependent disciplines in higher education, indicating that HEIs need to consider how to move away from institutional structural arrangements that support insular mathematics programmes. There is a distinct need for mathematics-dependent disciplines to work more closely with mathematics departments to develop integrated programmes that will best suit the needs of students. This must work at two levels. Firstly, academics offering mathematics-dependent pro-grammes need to identify the very specific mathe-matics knowledge that each programme requires, with a view to creating learning spaces for students (in need) to master these threshold competences for success in their disciplines. Secondly, there needs to be careful diagnosis of existing competence levels and attitudes to mathematics of entry-level students in particular. This will put faculty in a better position to respond to the specific needs of their students for potentially positively effect on student success in mathematics-dependent subjects.

    From a social and economic developmental perspective, nationally and internationally, uni-versity subjects that impact on societal advance-ment call for particularly close attention. Mathe-matics and mathematics-dependent subjects are highly significant in this category, and better understanding of all factors that may impinge on student success in these subjects (and minimising factors such as mathematics anxiety) is likely to deliver positive long-term results for higher edu-cation institutions, for their students and for the nation as a whole.

     

    Note

    i. Published under a Creative Commons Attribution Licence.

     

    Acknowledgement

    We would like to acknowledge the contribution of Dr Sally D. Hobden towards this article.

     

    References

    Abbas N 2011. Towards a model of mathematics attitudes formation: Through the child's perception of social agents and self-beliefs. Doctoral thesis. Strasbourg, France: University of Strasbourg.         [ Links ]

    Ajzen I & Fishbein M 2000. Attitudes and the attitude-behavior relation: Reasoned and automatic processes. European Review of Social Psychology, 11(1):1-33. doi: 10.1080/14792779943000116        [ Links ]

    Barnes H, Dzansi D, Wilkinson A & Viljoen M 2009. Researching the first year accounting prolem: Factors infuencing success or failure at a South African higher education institution. Journal of New Generation Sciences, 7(2):36-58. Available at http://ir.cut.ac.za/bitstream/handle/11462/530/Barnes%2c%20H._%20DZansi%2c%20D. _%20Wilkinson%2c%20A._%20Viljoen%2c%20M.%20Pages%2036-58.pdf?sequence=1&isAllowed=y. Accessed 13 May 2017.         [ Links ]

    Bramlett DC & Herron S 2009. A study of African-American college students' attitudes towards Mathematics. Journal of Mathematical Sciences & Mathematics Ecucation, 3(2):43-51. Available at http://w.msme.us/2009-2-6.pdf. Accessed 13 May 2017.         [ Links ]

    Chamberlin SA 2010. A review of instruments created to assess affect in Mathematics. Journal of Mathematics Education, 3(1):167-182. Available at http://www.educationforatoz.org/images/_14_Scott_A._Chamberlin.pdf. Accessed 13 May 2017.         [ Links ]

    Dogbey GY 2010. Attitudes of community college developmental students toward Mathematics and their perception of Mathematically intensive careers. PhD dissertation. Athens, OH: Ohio University. Available at https://etd.ohiolink.edu/rws_etd/document/get/ohiou1273165763/inline. Accessed 14 May 2017.         [ Links ]

    Fedoryshyn MW, O'Brien E, Hintz A & Bosner K 2010. Arithmetical reasoning skills as a predictor of success in principles of Accounting [Special issue]. Academy of Educational Leadership Journal, 14:93-107.         [ Links ]

    Fennema E & Sherman J 1977. Sex-related differences in Mathematics achievement, spatial visualization and affective factors. American Educational Research Journal, 14(1):51-71. doi: 10.3102/00028312014001051        [ Links ]

    Fennema E & Sherman JA 1976. Fennema-Sherman Mathematics attitude scales: Instruments designed to measure attitudes toward the learning of Mathematics by females and males. Journal for Research in Mathematics Education, 7(5):324-326. doi: 10.2307/748467        [ Links ]

    Forgasz HJ, Leder GC & Kloosterman P 2004. New perspectives on the gender stereotyping of Mathematics. Mathematical Thinking and Learning, 6(4):389-420. doi: 10.1207/s15327833mtl0604_2        [ Links ]

    Galbraith P & Haines C 1998. Disentangling the nexus: Attitudes to Mathematics and technology in a computer learning environment. Educational Studies in Mathematics, 36(3):275-290. doi: 10.1023/A:1003198120666        [ Links ]

    Haladyna T, Shaughnessy J & Shaughnessy M 1983. A causal analysis of attitude toward Mathematics. Journal for Research in Mathematics Education, 14(1):19-29. doi: 10.2307/748794        [ Links ]

    Heck A & Van Gastel L 2006. Mathematics on the threshold. International Journal of Mathematics Education in Science and Technology, 37(8):925-945. doi: 10.1080/00207390600819003        [ Links ]

    Jacobs MS 2006. A description of entry level tertiary students' mathematical achievement. PhD thesis. Cape Town, South Africa: University of Western Cape. Available at http://etd.uwc.ac.za/xmlui/bitstream/handle/11394/2093/Jacobs_PHD _2006.pdf?sequence=1. Accessed 14 May 2017.         [ Links ]

    Jazdzewski K 2011. Attitudes about Mathematics: Compare and contrast boys and girls from high and low socio-economic status. Master of Science thesis. Chico, CA: California State University. Available at http://csuchico-dspace.calstate.edu/bitstream/handle/10211.4/389/thesis-Kristin%20Jazdzewski.pdf?sequence=1. Accessed 14 May 2017.         [ Links ]

    Kloosterman P & Stage FK 1992. Measuring beliefs about Mathematical problem solving. School Science and Mathematics, 92(3):109-115. doi: 10.1111/j.1949-8594.1992.tb12154.x        [ Links ]

    Latief A 2005. Throughput of UWC students who did at least one semester of third-year Statistics. Unpublished MSc mini-thesis. Cape Town: University of the Western Cape. Available at http://etd.uwc.ac.za/xmlui/bitstream/handle/11394/1379/Latief_MSC_2005. pdf?sequence=1. Accessed 17 May 2017.         [ Links ]

    Likert R 1932. A technique for the measurement of attitudes. In RS Woodworth (ed). Archives of psychology (No. 140). New York, NY: The Science Press.         [ Links ]

    Martin RM 2002. Math attitudes of gifted students: A focus on gifted girls in the elementary grades. PhD dissertation. Blacksburg, VA: Virginia Polytechnic Institute and State University. Available at https://theses.lib.vt.edu/theses/available/etd-11302002-174715/unrestricted/Dissertation-Martin.pdf. Accessed 17 May 2017.         [ Links ]

    McLeod DB 1992. Research on affect in mathematics education: A reconceptualization. In DA Grouws (ed). Handbook of research on mathematics teaching and learning: A project of the National Council of Teachers of Mathematics. New York, NY: Macmillan Publishing Co.         [ Links ]

    Mensah JK, Okyere M & Kuranchie A 2013. Student attitude towards Mathematics and performance: Does the teacher attitude matter? Journal of Education and Practice, 4(3):132-139. Available at http://pakacademicsearch.com/pdf-files/edu/413/132-139%20Vol%204,%20No%203%20(2013).pdf. Accessed 11 May 2017.         [ Links ]

    Mohamad L & Waheed H 2011. Secondary students' attitude towards Mathematics in a selected school of Maldives. International Journal of Humanities and Social Science, 1(15):277-281. Available at http://s3.amazonaws.com/academia.edu.documents/43085822/34.pdf?AWS AccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=14943152 10&Signature=vYbVAZo7WW%2BE1i6mQrl3GWLzB%2B0%3D&response-content-disposition=inline%3B%20filename%3DSecondary_Students_Attitude_towards_Math.pdf. Accessed 9 May 2017.         [ Links ]

    Mubeen S, Saeed S & Arif MH 2013. Attitude towards Mathematics and academic achievement in Mathematics among secondary level boys and girls. IOSR Journal of Humanities and Social Science (JHSS), 6(4):38-41. Available at http://iosrjournals.org/iosr-jhss/papers/Vol6-issue4/G0643841.pdf?id=5936. Accessed 9 May 2017.         [ Links ]

    Naidoo I 2011. Mathematical attitudes and achievement strategies of successful Mathematics learners. MEd dissertation. Durban, South Africa: University of KwaZulu-Natal. Available at http://researchspace.ukzn.ac.za/bitstream/handle/10413/5735/Naidoo_Indarani_2011 .pdf?sequence=1&isAllowed=y. Accessed 17 May 2017.         [ Links ]

    Stainbank L 2013. The impact of NSC Mathematics on the performance of first year Commerce students [Special issue]. Alternation, 8:107-121. Available at http://utlo.ukzn.ac.za/Files/Alternation%2020.5%20(2013).pdf#page=113. Accessed 9 May 2017.         [ Links ]

    Tapia M & Marsh GE II 2004. An instrument to measure mathematics attitudes. Academic Exchange Quarterly, 8(2):130-143.         [ Links ]

    Thurstone LL 1928. Attitudes can be measured. American Journal of Sociology, 33(4):529-554. doi: 10.1086/214483        [ Links ]

    University of KwaZulu-Natal (UKZN) 2013. College of Humanities: Handbook for 2013. Durban, South Africa: UKZN. Available at http://coh.ukzn.ac.za/humanities-online-publications/collegehandbook.aspx. Accessed 17 May 2017.         [ Links ]

    Wilson P 2011. Disposition towards engagement in mathematics. In C Smith (ed). Proceedings of the British Society for Research into Learning Mathematics, 31(2). Available at http://www.bsrlm.org.uk/wp-content/uploads/2016/02/BSRLM-IP-31-2-12.pdf. Accessed 18 May 2017.         [ Links ]