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An analysis of some factors affecting student academic performance inan introductory biochemistry course at the University of the West IndiesVictor MlamboDepartment of Food Production, Faculty of Science and Agriculture, The Universityof the West Indies, St. Augustine, Trinidad and TobagoHigh failure rates at tertiary institutions result in unacceptable levels of attrition,reduced graduate throughput and increased cost of training a nation’s labourforce. It is imperative that diagnostic studies are carried out to identify the majorfactors that are associated with suboptimal academic performance with a view ofinstituting corrective measures. This study was, therefore, designed to identify andanalyse some determinants of academic performance (as measured by courseworkexam grades) in an introductory biochemistry (AGRI 1013) course plaguedby chronic high failure rates. The course is offered to first year undergraduatestudents in the Faculty of Science and Agriculture at the University of the WestIndies, St. Augustine campus. A survey instrument was administered to a randomsample of 66 registered students of AGRI 1013 (representing a 40% samplingfraction) to generate data on demographics (gender and age), learning preference,and entry qualifications. The effect of learning preference, age, gender, and entryqualifications on academic performance (measured as the final coursework markobtained) was determined. Relationships/associations between gender andlearning styles, gender and entry qualifications, age and learning preferences, andage and entry qualifications were analyzed using Pearson’s chi-square test. Therewere significant (P < 0.05) associations between entry qualifications and bothgender and age. However, since entry qualifications did not significantly (P >0.05) affect academic performance, this association should be of limited concern.None of the investigated factors significantly affected academic performance.This observation could be a consequence of an impressive performance in thecoursework exams by a large proportion of students resulting in less variationin the recorded grades. Learning preferences were found to be independent ofboth the age and gender of students. It was concluded that more determinantsof academic performance need to be investigated and that students who areadmitted based on a diploma in agriculture may need a remedial course giventhat their coursework grades, though statistically insignificant were consistentlylower than that of the other students.Keywords: high failure rates, introductory biochemistry, learning preferences,mature students, gender, entry qualifications.IntroductionThe academic performance of students at the University of the West Indies(UWI) has recently come under the spotlight for a number of reasons. Accordingto a report from UWI’s Office of Planning and Development (2011), 10% of allundergraduate courses offered at UWI, St. Augustine have high failure rates. TheCaribbean Teaching ScholarVol. 1, No. 2, November 2011, 79–92ERAEDUCATIONAL RESEARCHASSOCIATION80 Victor Mlambopurpose of this report was to initiate a discussion on the possible causal factors andways of addressing them so that academic performance can be improved. Highfailure rates are costly to all stakeholders since the throughput of the University isreduced. This increases the cost of training graduates as well as reducing admissionopportunities for high school students seeking a University education. Low passrates impose a huge cost to the Caribbean community in terms of the low numberof students graduating and the reduced intake of potential students due to shortageof spaces caused by low throughput. In order to ensure that a larger proportion ofthe Caribbean’s labour force is highly trained, UWI must put in place measures thatensure high completion rates. Much of the attrition that reduces completion ratescan be attributed to low academic performance in early pre-requisite undergraduatecourses (Scott & Graal, 2007) such as Introduction to Biochemistry (AGRI 1013),the subject of this investigation. Over a period of 3 years (2006 – 2008), the failurerate of this course has averaged 40% which is considered to be very high. As a resultof this high failure rate, the 2010/2011 academic year class size is now approaching200 due to failing students retaking the course. Class size is one of the factorsthat impact upon academic performance and the general relationship is a negativeone (Heinesen, 2010), as such a vicious cycle seems to have been created. It isimportant, therefore, that an investigation be carried out to identify some of thefactors that are closely associated with poor academic performance in this courseso that corrective measures, where possible, can be taken. A number of studieshave been carried out to identify causal factors of poor academic performance in anumber of institutions worldwide. Most of these studies focus on the three elementsthat intervene, that is, parents (family causal factors), teachers (academic causalfactors), and students (personal causal factors) (Diaz, 2003). The combination offactors influencing academic performance, however, varies from one academicenvironment to another, from one set of students to the next, and indeed from onecultural setting to another.The purpose of this exploratory study was, therefore, to identify andanalyse the factors that influence academic performance in AGRI 1013. The studysought to define relationships between selected student factors (demographicinformation, learning style, admission criteria, and high school achievements) andacademic performance (measured in terms of the total of two coursework grades)in the AGRI 1013 course in the 2010/2011 academic year. A formal study of thisnature contributes towards unravelling those significant determinants of students’performance that need to be addressed. The findings of this study may also beapplicable to related courses (those that require the application of Chemistry andBiology knowledge) with high failure rates.Literature reviewA number of studies have been carried out to identify and analyse the numerousfactors that affect academic performance in various centres of learning. Their findingsidentify students’ effort, previous schooling (Siegfried & Fels, 1979; Anderson &An analysis of some factors affecting student academic performance in 81an introductory biochemistry course at the University of the West IndiesBenjamin, 1994), parents’ education, family income (Devadoss & Foltz, 1996), selfmotivation, age of student, learning preferences (Aripin, Mahmood, Rohaizad,Yeop, & Anuar, 2008), class attendance (Romer, 1993), and entry qualificationsas factors that have a significant effect on the students’ academic performance invarious settings. The utility of these studies lies in the need to undertake correctivemeasures that improve the academic performance of students, especially in publicfunded institutions. The throughput of public-funded institutions is under scrutinyespecially because of the current global economic downturn which demands thatgovernments improve efficiency in financial resource allocation and utilization.
Although there has been considerable debate about the determinants of academic
performance among educators, policymakers, academics, and other stakeholders,
it is generally agreed that the impact of these determinants vary (in terms of extent
and direction) with context, for example, culture, institution, course of study etc.
Since not all factors are relevant for a particular context, it is imperative that formal
studies be carried out to identify the context-specific determinants for sound
decision making. This literature review provides a brief examination of some of
the factors that influence academic performance. The choice of factors reviewed
here was based on their importance to the current study.
Students’ learning preferences
A good match between students’ learning preferences and instructor’s teaching
style has been demonstrated to have positive effect on student's performance (Harb
& El-Shaarawi, 2006). According to Reid (1995), learning preference refers to a
person’s “natural, habitual and preferred way” of assimilating new information.
This implies that individuals differ in regard to what mode of instruction or
study is most effective for them. Scholars, who promote the learning preferences
approach to learning, agree that effective instruction can only be undertaken if
the learner’s learning preferences are diagnosed and the instruction is tailored
accordingly (Pashler, McDaniel, Rohrer, & Bjork, 2008). “I hear and I forget. I
see and I remember. I do and I understand.” (Confucius 551-479 BC) – a quote
that provides evidence that, even in early times, there was a recognition of the
existence of different learning preferences among people. Indeed, Omrod (2008)
reports that some students seem to learn better when information is presented
through words (verbal learners), whereas others seem to learn better when it is
presented in the form of pictures (visual learners). Clearly in a class where only
one instructional method is employed, there is a strong possibility that a number of
students will find the learning environment less optimal and this could affect their
academic performance. Felder (1993) established that alignment between students’
learning preferences and an instructor’s teaching style leads to better recall and
understanding. The learning preferences approach has gained significant mileage
despite the lack of experimental evidence to support the utility of this approach.
There are a number of methods used to assess the learning preferences/styles of
students but they all typically ask students to evaluate the kind of information
82 Victor Mlambo
presentation they are most at ease with. One of these approaches being used
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