European Journal of Social Sciences Studies
ISSN: 2501-8590
ISSN-L: 2501-8590
Available on-line at: http://www.oapub.org/soc
10.5281/zenodo.55487
Volume 1│Issue 1│2016
TEACHING WORKLOAD AND PERFORMANCE:
AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
Mahmood Rahman*, Yakub Reissi Avan
Department of Education, Dhaka University, Dhaka, Bangladesh
Abstract:
The study was conducted to endeavor the relationship between workload and
performance for university teachers. Workload has been assumed an independent
factor having three sub-categories: time spent on teaching, administrative activities and
co-curricular responsibilities. Teaching performance was the dependent variable having
three sub-categories: quality of teaching delivery, quality and quantity of research &
training and implementation of new technology in teaching. 423 teachers from different
categories of fifteen universities were chosen as participants through convenience
sampling. Pearson s correlation and regression analysis had been carried out to find the
relationship between the variables. It was revealed that most independent variables are
positively and strongly correlated with the dependent variables except time spent on
teaching & implementation of new technology and administrative activities &
implementation of new technology which are negatively correlated. The study indicates
that to perform better, workload management should be appropriate and adjusted. The
study will hopefully help the university management, academic researchers and
trainers to formulate and implement an effective workload management system.
Keywords: higher education, workload, teaching performance, teacher, university
1.
Introduction
There are 37 public and 85 private and 3 foreign universities in Bangladesh (University
Grants Commission, 2016). Private universities in Bangladesh are dependent mainly on
the tuition fees provided by the students. Therefore, unlike public or foreign
universities, they mainly focus on cost control with their regular academic and
Correspondence: mahmood.rahman@gmail.com
Copyright © The Author(s). All Rights Reserved
Published by Open Access Publishing Group ©2015.
71
Mahmood Rahman*, Yakub Reissi Avan –
TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
development activities. Faculty members of private universities have to maintain
strictly a definite period at his/her room as either office or consulting hour. In addition
to that, some academicians in private universities often have to undertake
administrative posts with their usual job responsibilities. These additional time hours
spent are increasing their workload.
As the employees of highest educational institutions, university teachers might
not be expected to undertake any additional responsibilities without appropriate
additional benefit. Private universities were the reason identified for high academic and
administrative workload. Very few private universities in Bangladesh provides the
opportunity to study, research and engage in other forms of professional development
while some universities have made the teaching profession more attractive by
providing attractive compensation package.
Recent trend in university teaching in Bangladesh predicts that teachers,
especially private university teachers are being engaged in more and more
administrative responsibilities with or without additional benefit. The most negative
part of such involvement is that it will reduce the time spent on research and
development activities for them which are the core indicators for a teacher s
performance. It should be noted here that the scenario is different for public and private
universities where public university teachers are more relaxed but private university
teachers are usually overloaded.
2.
Research Gap and Rationale of the Study
Although a lot of researches were conducted in finding the relationship between
workload and performance, most of them were done in western developed countries.
There is a great deal of difference in perception of workload between other countries
and Bangladeshi context. Therefore, considering the practical aspects of Bangladeshi
higher education industry, there have been a few studies conducted so far.
The study is aimed at identifying the tentative impact of faculty members
workload on their teaching performance and if there any relationship exists, whether is
it significant or not.
The study is expected to be helpful for the university authorities to determine the
realistic faculty workload and also how to increase their teaching and research
performance as a whole.
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Mahmood Rahman*, Yakub Reissi Avan –
TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
3.
The Changing Nature of Teaching
Teaching is not now as it was about 20 years ago because of ever changing adoption of
technology. The lecture delivery has now upgraded from traditional chalk and duster to
power point slides. Also, the assessment method has been changed to different
alternatives. Previously, it was limited to only written test and interview, whereas
many university teachers now adopting power point presentation, practical
assignments, case based assignments, industrial tour, and so on. However, Riordan
(1993) points out that the dominant affordances of teaching in higher education
continue to be restricted to i) lecturing and delivering or presenting information and to
ii) teaching taking place predominantly within the classroom
O Sullivan and
Samarawickrema, 2008).
A technology of education approach therefore advocates that university teachers
as educators think deeply and carefully about what and how they want their students
to learn (Ramsden, 2003), placing emphasis on active participation and the social
aspects of learning yet guided by the discipline they teach in serving as the framework
for the design of learning experiences which will “… ensure that students develop the
understanding and abilities they need in order to respond to and shape the world in which they
live
4.
Riordan,
.
Literature Review
Conventionally, universities have defined the role of academic staffs to three domains
of teaching, research and service with primary emphasis placed upon the teaching and
research aspects and secondary upon service or administration (Houston et al., 2006). In
an increasingly demanding and growing environment of administrative activities,
teachers are now gradually undertaking the complex and hectic responsibilities of
administrative jobs that are related to the institution. Universities are the only
organizations focused on dual core functions of knowledge creation and knowledge
transmission through the process of research and teaching (Romainville, 1996). The job
life of a university academic staff is predominantly framed and shaped by commitments
and performance in these functions (Peter et al., 2014).
Jenkins (2004) noted with existing evidence that commitments to teaching and
research can be either synergistic and complementary or antagonistic and competing.
He (Jenkins, 2004) argued that the relationship between research, teaching, broader
work expectations and rewards need to be defined and managed at the institutional,
departmental and individual levels to avoid potentially undesirable effects and
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TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
counterproductive behaviors. Leslie (2002) found that salary and job satisfaction were
not correlated and that faculty (who spent the majority of their time in teaching)
reported a preference for being rewarded for teaching effectiveness.
Kerr (1975) noted that the society hopes that the teachers specially the university
teachers will not neglect their teaching responsibilities, but reward them almost entirely
for research and publications. He (Kerr, 1975) added that it is rational for a university
teacher to concentrate on research, even to the detriment of teaching and at the expense
of their students.
McInnes (1999-2000) found that the level of communication remains high with
academic staffs attributing this to intrinsic motivators rather than extrinsic factors such
as salary and working conditions. Challenge, variety and autonomy are the key
elements of the academic staffs to engage in core activities like critical thinking,
reflection and collegial interactions in the context of disciplinary interests and expertise
(Winter et al., 2000). Flexibility and autonomy are the key factors in becoming and
remaining an academician (Bellamy et al., 2003).
In New Zealand, tertiary reforms have sought to refine the role of higher
education and define university linkages to enhance national economic development
and to make universities more accountable to the government, students as consumers
and the public in general (Patterson, 1996), while subjecting them to more centralized
control mechanism. Where pursuit of the knowledge society has resulted in increased
pressures and performance expectations, workloads of academic staffs have been
influenced directly (Philip and James, 2015). Coaldrake and Stedman (1999) noted that
as academic work expanded to meet growing expectations, universities and individual
academicians have responded through
accumulation and accretion
rather than
adaptation. McInnes (2000) highlighted the need to investigate workload issues such as
increased stress on staff, development of creative solutions and sustaining the primary
sources of work satisfaction that best promotes quality.
Sullivan (1997) and Chalmers (1998) found that staffs were reporting increased
work related stress associated with the academic work and more and more work
related illness or injuries like headache, constipation, epilepsy, insomnia etc. in
compared to previous years. As a result, workload systems management has
increasingly been a factor in recent years in contract negotiations and collective
employee agreements (Peter et al., 2014).
4.1
The Concept of Teaching Workload and Performance
The concept of teaching workload in Bangladesh is not confined to the regular teaching
activities like taking classes, preparing lesson plan, evaluating the scripts, attending
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Mahmood Rahman*, Yakub Reissi Avan –
TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
training programs and conferences. Here the teachers have to involve themselves in
different non-academic activities like proctoring, coordinating different university
activities, taking various administrative posts (other than academic) etc. As a whole, a
teacher normally spends 40 to 48 hours in his/her workplace depending on the
responsibilities he holds. However, this scenario varies from university to university.
On the other hand, performance of a university teacher is based on his dedication
to the job, the percentage of success of students, research and development, active
communication between him/he and students etc.
In this study, the workload (independent variable) have been assumed to be time
spent on teaching (regular) (IV1), administrative (additional) (IV2) and co-curricular
responsibilities (IV3). On the other hand, three components of performance (dependent
variable) are quality of teaching delivery (DV1), quantity and quality of research &
training (DV2) and implementation of new technology in teaching (DV3).
4.1.1 Quality of Teaching Delivery
A very essential factor of teaching performance is how the teacher delivers his/her
lectures to the students, i.e. quality of delivering the lecture. MacGregor (2007)
proposed that a quality lecture should have i) a clear purpose of the lesson as well as
the expected outcome(s), ii) built background by linking concepts to student
background, past learning and key vocabulary, iii) a clear structural idea to all the
students and allows for different pathways according to student needs, iv) a variety of
questioning strategies and used to encourage students development of critical thinking,
problem solving and performance skills, v) approved adequate time for the students to
respond, vi) instructional approaches that are adapted to meet the needs of diversified
learners, and vii) a well instruction to meet the proficiency levels of all the students in a
classroom (The Center for Educational Effectiveness, Inc., 2007).
4.1.2 Quantity and Quality of Research & Training
Another performance dimension of in teaching is the quantity and quality of research
has teacher has and the amount of training he/she received. This is especially true for
university teachers where there is a proverb well circulated publish or perish . “
teacher must publish a good amount of articles published in referred journals with a
good reputation; he/she should attend in national and international seminars,
conferences, workshops and training programs to gather and develop up to date
knowledge and information about teaching, learning and development.
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TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
4.1.3 Implementation of New Technology in Teaching
The application of Information and Communication Technologies (ICTs) is changing
the organizational setup and delivery of higher education at almost every year. The
pedagogical and socio-economic forces that have driven the higher learning institutions
to adopt and incorporate ICTs in teaching and learning include greater information
access; greater communication; synchronous and asynchronous learning; increased
cooperation and collaboration, cost-effectiveness and pedagogical improvement (Sife,
Lwoga and Sanga, 2007). However, ICTs have not permeated to a great extent in many
higher learning institutions in most developing and underdeveloped countries due to
many socio-economic and technological shortages. However, application of technology
information system has been an inevitable part of modern teaching.
5. Research Hypotheses and Conceptual Framework
From the introduction and literature review part of this study, the following hypotheses
might be developed.
H1: There is a positive and significant relationship between workload (teaching
and non-teaching) and teaching performance.
H2: There is a positive but insignificant relationship (teaching and non-teaching)
between workload and teaching performance.
Time spent on teaching
Administrative
activities
Co-curricular
responsibilities
Teaching
and nonteaching
Workload
Existence (if
any) of
significant or
insignificant
relationship
Quality of teaching
delivery
Quantity and quality
of research and
training
Teaching
Performance
Implementation of
new technology in
teaching
Figure 1: Conceptual Framework
6.
Research Methodology and Methods
In this study, convenience sampling has been used since the numbers involved were the
academic teaching staffs at the main campuses not the distance campuses. The intention
of the research was to find out whether workload has any direct or indirect impact on
teaching performance and, if there is any relationship, is it significant or not.
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Mahmood Rahman*, Yakub Reissi Avan –
TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
6.1
Research Design
In this study, descriptive method has been adopted. Descriptive design helps to answer
questions concerning the current status of the respondents under study (Mugenda &
Mugenda, 2003). Descriptive research can include multiple variables for the study (Borg
and Gall, 1996). Description emerges following creative exploration and serves to
organize the findings in order to fit them with explanations and then test or validate
those explanations (Krathwoh, 1998). Kothari (2009) pointed out that descriptive
research studies are concerned with specific predictions, narration of facts and
characteristics concerning individuals, groups or situations.
6.2
Target Population
The target population is composed of fifteen private universities. The category of staff
focused on were the academic teaching staffs ranging from lecturers to professors. The
total numbers of participants in this study were 423. The researcher targeted the
teaching staff members since the main function of private universities are quality of
teaching delivery, quantity and quality of research & training and implementation of
new technology in teaching which is formulated, implemented and monitored by
themselves. As noted earlier, convenience sampling has been adopted to recruit the
participants who have age range of 23 to 60. Among the participants, 60% (254) are male
and 40% (169) are female university faculty members. The area of sampling data
collection was limited to two major cities, Dhaka and Chittagong where most of the
private universities are situated.
6.3
Data Collection Method
A questionnaire was provided to each respondent and picked later. The questionnaire
included both open ended and closed ended questions. The questionnaire was divided
into three parts namely, demographic variables, teaching practices and expected
performance from them. Where additional information was required, semi-structured
interviews were conducted.
6.4
Questionnaire Design
A questionnaire was designed in a five point Likert scale to measure the relationship
between workload and performance. Five point Likert type scale has been used in the
questionnaire to measure HR practices where 5 was considered as strongly agree, 4 for
agree, 3 for no comment, 2 for disagree and 1 for strongly disagree. The questionnaire
had 66 questions altogether. Both qualitative and quantitative data were used.
Qualitative data were applicable as meanings were based on expressions through
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Mahmood Rahman*, Yakub Reissi Avan –
TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
words and analysis was conducted through the use of conceptualization. Quantitative
data were applicable because meanings were derived from numbers and analysis was
conducted through the use of diagrams and statistics (Mark et al., 2007). The
information were coded and analyzed with the help of Statistical Package for Social
Sciences (SPSS) software package.
.
Table 1: Questionnaire distribution according to category (independent variables)
Category
No. of Questions in the Questionnaire
Time spent on teaching
7
Administrative or non-teaching activities
9
Co-curricular activities
11
Total questions
27
Table 2: Questionnaire distribution according to category (dependent variables)
Category
No. of Questions in the Questionnaire
Quality of teaching delivery
13
Quality and quantity of research and training
15
Implementation of new technology in teaching
11
Total questions
39
6.5
Analysis of Data
The Cronbach co-efficient was used to find the inter item consistency reliability (Walsh,
1995). Cronbach alpha for regular teaching was 0.9609, for administrative
responsibilities 0.8362, for co-curricular activities 0.9176, for quality of teaching delivery
0.8311, for quality and quantity of research and training 0.7613 and for implementation
of new technology in teaching, it was 0.9273. Therefore, it is evident that each
instrument s internal reliability was quite satisfactory. Multiple regression analysis was
performed to identify the effect and significance level of each independent variable on
dependent variables.
7. Results and Discussions
7.1
Pearson’s correlation between independent and dependent variables
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Mahmood Rahman*, Yakub Reissi Avan –
TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
Table 3: Pearson s correlation between the components of workload and performance
Dependent Variables
Independent
Quality of
Quality and quantity of
Implementation of new
Variables
Teaching
research and training
technology in teaching
delivery
Time spent on teaching
0.12
0.23
-0.39
Administrative or non-
0.34
0.97
-0.005
0.57
0.83
0.35
teaching activities
Co-curricular activities
Table-3 shows that almost all the dependent and independent variables (expect between
time spent on teaching & implementation of new technology and administrative or nonteaching activities & implementation of new technology in teaching) are positively
correlated with each other.
Among them, there is a strong positive correlation between co-curricular
activities and quality of teaching delivery; between administrative or non-teaching
activities and quality & quantity of research & training; and between co-curricular
activities and quality & quantity of research & training.
7.2
Regression Analysis
The strengths of influence that each independent variable had on the dependent
variable were determined by multiple regression coefficients of the independent
variables. The influence of each independent variable is shown in Table-3.
Table 4: Results of Regression Analysis
Standard
Independent Variables
β
Error
Significance
R2
Regression analysis of Teaching Performance(Overall):
Time spent on teaching (IV1)
0.33
0.11
0.001
Administrative or non-teaching activities (IV2)
0.21
0.23
0.003
Co-curricular activities (IV3)
0.12
0.07
0.023
Time spent on teaching (IV1)
0.45
0.12
0.022
Administrative or non-teaching activities (IV2)
0.39
0.22
0.036
Co-curricular activities (IV3)
0.37
0.20
0.009
Time spent on teaching (IV1)
0.19
0.17
0.045
Administrative or non-teaching activities (IV2)
0.22
0.21
0.039
Co-curricular activities (IV3)
0.29
0.13
0.022
0.43
Regression analysis of Quality of Teaching delivery
(DV1):
0.33
Regression analysis of Quality and quantity of research
and training (DV2):
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0.29
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Mahmood Rahman*, Yakub Reissi Avan –
TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
Regression
analysis
of
Implementation
of
new
technology in teaching (DV3):
Time spent on teaching (IV1)
0.51
0.15
0.000
Administrative or non-teaching activities (IV2)
0.49
0.21
0.044
Co-curricular activities (IV3)
0.33
0.15
0.018
0.41
The results from Table 4 reveal that there is positive relationship between quality of
teaching delivery (Dependent Variable-1) and three independent variables. Same result
has also been derived between DV2 and three independent variables (IV1, IV2 and IV3).
In case of third dependent variable also, the relationship is positive. In addition, the
regression analysis was carried out in between the independent variables and the
dependent variable as a whole IV1 and DV β = .
0.05); and IV3 and DV β = .
, p < . 5 , IV2 and DV β = .
,p<
, p < . 5 . The values of R2 obtained from different
models range from 29% to 43%.
8.
Findings and Recommendations
There was an open end part on the questionnaire where the participants were allowed
to put their general opinions and suggestions in regard to workload and teaching
performance. The main findings observed by them was too much workload (teaching
and administrative) is not conductive for their overall teaching performance though
they were willing to or have to take them with or without payment. There is a general
observation by most of them that excessive workload is making them exhausted at the
end of the day which, in turn is destroying their research capabilities and creating
problems in their work/life balance. However, the recommendations found from them
have been summarized below:
1. At the preliminary stage of teaching, less workload (teaching and non-teaching)
should be provided so that they can allocate more time in research and training.
2. At the mid or upper stages, moderate workload might be given considering the
maturity and administrative experience.
3. All the additional loads (teaching and non-teaching) must be provided with
appropriate compensation which would keep them motivated.
4. Any additional load (teaching or non-teaching) must not be imposed on anyone,
rather it must be provided on the basis of prior participative meeting with the
approval of respective faculty member. It will help him/her to adjust the
additional load with normal ones.
5. Additional responsibilities must be included in the performance appraisal
process.
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Mahmood Rahman*, Yakub Reissi Avan –
TEACHING WORKLOAD AND PERFORMANCE: AN EMPIRICAL ANALYSIS ON SELECTED PRIVATE
UNIVERSITIES OF BANGLADESH
9.
Conclusion
As a noble profession, teachers should be well aware of their duties and responsibilities
which they cannot or should not avoid. He or she should be reasonable enough in
taking any additional responsibilities that will cost his/her core responsibilities of
his/her profession. On the other hand, the authorities should also allocate the additional
duties and responsibilities in such a way that will not hamper or destroy the teachers
development.
10.
Limitations and Future Scope
The study was limited to the relation between workload and performance only. There
might be more other reasons (e.g. intention to carry out research) why a teacher
performs good or bad. So the scope was limited in one particular area. Again, the study
was limited to a particular culture. A cross-cultural study might have provided
different results. Therefore, there is a further scope and opportunities remains for this
study in future.
The author hopes that this research would be of further help for researchers,
academicians and university management to identify the reasons for good or bad
performance and shape a reasonable workload management that will be helpful for all
the stakeholders of a university or any other educational institution.
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UNIVERSITIES OF BANGLADESH
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