This section presents the findings in relations to the research questions. The section first presents the demographic characteristics of respondents followed by findings relating to the three research questions.
3.1 Characteristics of the Sample
Table 3
Demographic Characteristics of the Data Sample
VariableOptions
|
No. of Teachers
|
Percentage (%)
|
Gender
|
|
|
Female
|
113
|
62
|
Male
|
68
|
38
|
Age (in years)
|
|
|
20 to 29
|
100
|
55
|
30 to 39
|
44
|
24
|
40 to 49
|
27
|
15
|
50 +
|
10
|
6
|
Level of Education
|
|
|
Diploma Certificate
|
109
|
60
|
First Degree (Bachelors)
|
51
|
28
|
Masters degree
|
21
|
12
|
Working Experience
|
|
|
Less than 1 year
|
30
|
17
|
1–3 years
|
54
|
30
|
54 − 6 years
|
40
|
22
|
7–9 years
|
57
|
31
|
Total
|
181
|
100
|
Table 3 summarises the characteristics of the sample. The results indicate that the majority of the respondents were female (n=113, 62%). This finding is consistent with Deku & Ackah [10] who established that the majority of teachers in Ghana are women. The results also highlight the age range of teachers in the sample. The results indicate that the majority of the teachers (n=100, 55%) were within the age range of 20 to 29. This finding suggests that most of the teaching populations are younger adults. Similarly, the results indicated that the majority of the teachers (n=109, 60%) were Diploma Certificate holders. This result is indicative of the reality in Ghana as the Diploma Certificate is the minimum requirement for teachers in Ghana. The results indicated that significant number of the respondents have taught for a substantial number of years. For example, ninety-seven (97) of the teachers representing 54% of the sample reported that they have been working as teachers for more than 3 years. This implies that at least a significant number of the respondents have over 3 years teaching experience. Thus, they were better informed to appreciate the challenges experienced by the schools before and after the introduction of the FSHS policy.
3.2 Dynamics of students enrolment due to Free SHS in the Ejisu Municipality
The dynamics of student enrolment from 2014 to 2019 is shown in Fig. 1.
Figure 1 displays the results on the trend analysis of the pre and post FSHS enrolment figures of the sampled schools spanning from 2014 to 2019. It can be observed that the schools reported a 7.83% increase in enrolment in 2014. In 2015, the schools reported a decrease in enrolment figures in comparison with figures reported in 2014 as the enrolment rate dipped to 1.1%. However, in 2016, the schools experienced a 5.53 increase in enrolment figures and in 2017 the enrolment rate increased to 7.65%. In 2018, the schools saw a meteoric rise in enrolment figures as they reported a 19.1% increase in enrolment and this increase in enrolment doubled in 2019 as the schools reported a 36.15 increase in enrolment.
3.3 How Changes in Enrolment of Students Have Affected Teaching and Learning
To establish how enrolment has affected teaching and learning, the study used a six-year performance grades (scores) of students in the West African Senior High School Examinations. For purposes of generalization, performances in four core subjects were used and these included Mathematics, English Language language, Integrated Science and Social Studies. Figure 2 displays the trend in performance in the four subjects over the years under study.
Figure 2 presents the results of students at the sampled schools in the Ejisu Municipality in the four core subjects from 2014 to 2019. It can be observed that in English Language, the schools reported a -0.46% decrease in performance in 2014 but in 2015, the performance saw a 0.19% increase. The schools improved their results in English Language in 2016 with a 1.29% increase in their performance. In 2017, there was a steep decline in performance as the schools reported a -1.27% decrease in the collated results for English Language for that year. However, in 2018, the performance improved as the schools reported a 0.17% increase in performance but in 2019 this performance decreased to -0.72%.
In addition, it can be observed that the performances in core Mathematics have experienced a decline from 2013 to 2018. The schools reported a 0.26% decline in performance in 2015 from 0.3% in 2014, a -0.59% decrease in 2016, a -2.37% decrease in 2017 and a -4.22% decrease in performance in 2018. However, math results improved for the schools as they reported a 3.45% increase in performance for 2019. Interestingly, the schools’ results for Integrated Science and Social Studies follow a similar trend. It can be observed that the schools reported a 0.5% and 0.19% increase in performance for both subjects in 2015. The performances dipped to -0.66% for Integrated Science and − 0.47 for Social Studies in 2016. Furthermore, in 2017, the school performances dipped with results in Integrated Science decreasing at a rate of -1.77 whilst Social Studies decreased to -1.27. Meanwhile in 2018, the performance in Integrated Science slumped to a -2.12% decrease whilst the schools reported a -0.82% decrease for Social Studies. Finally, the school reported improved results for both subjects in 2019, with reported 1.43% in Social Studies and 1.32% increase for Integrated Science.
3. 4 Emerging Challenges To Teaching And Learning After The Introduction Of Free Shs Policy
Table 3 presents the results of the shares of proportion (on agreement = A, uncertainty = U or disagreement = D), importance indices (RII) and ranks (®) of the eleven emerging challenges to teaching and learning after the introduction of Free SHS Policy in the Ejisu Municipality.
Table 3 Emerging challenges to teaching and learning
Emerging Challenges
|
Responses (%)
|
RII
|
Rank
|
Disagree
(≤ 3)
|
Neutral
(4)
|
Agree
(≥ 5)
|
Congestion in the dining hall
|
8
|
15
|
77
|
1.08
|
1
|
Inadequate teaching and learning materials
|
26
|
8
|
66
|
1.04
|
2
|
Inadequate hostel infrastructure
|
8
|
35
|
57
|
1.04
|
3
|
Inadequate trained teachers
|
18
|
6
|
76
|
1.00
|
4
|
Infrastructural inadequacies because of increased student population.
|
25
|
8
|
67
|
0.98
|
5
|
Increased student-teacher ratio in the school
|
9
|
39
|
52
|
0.95
|
6
|
Health challenges beyond the school’s capacity
|
19
|
39
|
42
|
0.87
|
7
|
Ineffectiveness in school administration processes due to increased student population
|
32
|
30
|
38
|
0.84
|
8
|
Increased enrolment of students has led to poor learning outcomes such as students’ inability to fully complete home assignments.
|
32
|
42
|
26
|
0.83
|
9
|
Unreliable supply of electricity
|
31
|
31
|
38
|
0.79
|
10
|
Lack of teacher confidence and competence (self-esteem) due to increased class size
|
54
|
38
|
8
|
0.67
|
11
|
The results in Table 3indicate that the highly ranked challenges identified by teachers in the sample SHS are the congestion in the dining hall (A = 77, RII = 1.08, ® = 1); inadequate teaching and learning materials (A= 66, RII = 1.04, ® = 2); inadequate hostel infrastructure (A = 57, RII =1.04, ® = 3) and inadequate trained teachers (A = 76, RII = 1.00, ® = 4).
Equally, the next emerging challenges identified by the teachers include infrastructural inadequacies because of increased student population (A = 67, RII = 0.98, ® = 5); increased student-teacher ratio in the school (A = 52, RII = 0.95, ® = 6); health challenges beyond the school’s capacity (A = 42, RII = 0.87 7, ® = 7); ineffectiveness in school administration processes due to increased student population (A = 38, RII = 0.84, ® = 8); and increased enrolment of students has led to poor learning outcomes such as students’ inability to fully complete home assignments. (D = 32, RII = 0.83, ® = 9). Finally, the poorly ranked challenges experienced by the sample SHS after the introduction of the Free SHS policy are unreliable supply of electricity (A = 38, RII = 0.79, ® = 10) and lack of teacher confidence and competence (self-esteem) due to increased class size (A = 54, RII = 0.67, ® = 11).