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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue III, March 2026
Enhancing Student Understanding of Development Planning
Through Real-World Industrial Collaboration in Construction
Projects
Muriatul Khusmah Musa
1
, Mohamad Zain Hashim
2*
1
Academy of Language Studies, Univesiti Teknologi MARA Cawangan Pulau Pinang, Malaysia
2
Civil Engineering Studies, Universiti Teknologi MARA Cawangan Pulau Pinang, Malaysia
*Corresponding Author
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150300084
Received: 27 March 2026; Accepted: 02 April 2026; Published: 17 April 2026
ABSTRACT
In an increasingly complex and fast-paced construction industry, the gap between theoretical instruction and
practical application remains a persistent challenge in engineering education. Many students struggle to fully
grasp development planning processes ranging from initial site surveys to multidisciplinary technical drawings
due to limited exposure to real-world practices. Addressing this issue, the present study evaluates the
effectiveness of an academicindustry collaboration initiative, specifically an industrial talk, in enhancing
students’ understanding of development planning within the construction context. Adopting a quantitative pre
post research design, the study collected 77 valid responses from participants comprising predominantly
undergraduate engineering students, alongside lecturers and an industry speaker. A structured questionnaire
measured self-reported understanding before and after the session, complemented by nine Likert-scale items
assessing awareness, integration, and perceived benefits. Data were analysed using SPSS through descriptive
statistics, reliability testing, paired samples t-tests, and group comparison analyses. The findings reveal a
substantial and statistically significant improvement in participants’ understanding following the intervention.
The mean score increased from 2.75 (pre-session) to 8.35 (post-session), with a highly significant t-test result (p
< 0.001), indicating strong learning gains. The instrument demonstrated excellent reliability (Cronbach’s α =
0.965), confirming internal consistency. Importantly, no significant differences were observed across gender or
participant groups, suggesting that the learning experience was inclusive and broadly effective. High satisfaction
levels (mean = 4.68/5) further underscore the perceived value of the initiative. This study concludes that
structured academicindustry engagements serve as powerful pedagogical tools in bridging the theorypractice
divide in construction education. Beyond academic outcomes, such initiatives contribute to societal and
environmental advancement by fostering industry-ready graduates equipped with practical competencies,
collaborative skills, and a deeper appreciation of sustainable construction practices. By strengthening the
alignment between education and industry needs, these efforts support the development of a more competent
workforce capable of delivering efficient, well-coordinated, and environmentally responsible construction
projects.
Keywords: Development planning; Industry engagement; Construction engineering education; Technical
drawing literacy; Work-integrated learning
INTRODUCTION
In the rapidly evolving construction industry, understanding the full scope of development planning from initial
site survey to project completion is essential for producing competent and industry-ready engineering graduates.
The effectiveness of such knowledge transfer is significantly enhanced when students are exposed to practical,
real-world applications through academicindustry engagement such as industrial talks. These sessions offer an
opportunity to bridge theoretical knowledge with professional practice, especially in areas involving technical
documentation and multidisciplinary collaboration [1].
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The featured industrial collaboration talk, titled “Development Planning: Types of Plans Involved from Planning
Layout to Project Completion”, was designed to equip students with a deeper understanding of key technical
drawings commonly used in construction projects. This includes architectural drawings, civil and structural
(C&S) drawings, infrastructure layouts, mechanical and electrical (M&E) schematics, and survey or topographic
plans. Each of these components plays a critical role in ensuring that a project is not only feasible and functional
but also compliant with regulatory and safety standards [2]. In Malaysian higher education, there is growing
emphasis on integrating industrial relevance into the civil engineering curriculum to align with the outcomes
outlined by professional bodies such as the Engineering Accreditation Council (EAC) and Board of Engineers
Malaysia (BEM). These bodies promote outcome-based education (OBE) that cultivates problem-solving skills,
multidisciplinary knowledge, and lifelong learning attitudes among future engineers [3]. Given the importance
of this initiative, the present research aimed to evaluate the impact of the industrial talk on students' awareness
and understanding of the types of development plans involved in construction. By administering a structured
survey before and after the session, this study seeks to measure the knowledge gained and to identify any
significant differences in perception across gender and attendance groups. The findings are expected to
contribute to future improvements in academicindustry collaborations and technical education strategies in the
field of construction engineering.
METHODOLOGY
Research Design
This study employed a quantitative research design using a prepost survey approach to assess participants'
awareness and understanding of development planning in the construction industry. The design allowed for the
measurement of knowledge improvement by comparing self-reported understanding levels before and after the
industrial talk. The talk focused on technical components including architectural drawings, civil and structural
drawings, infrastructure layout, survey plans, and mechanical and electrical (M&E) drawings. Such a method is
appropriate for measuring change over time and evaluating the effectiveness of academic-industry engagement
sessions in engineering education [4].
Participants
Participants were drawn from undergraduate engineering students and faculty members who attended the
industrial talk. In total, 77 valid responses were collected. The demographic breakdown showed that 42.9% were
male and 57.1% were female, while 90.9% were students, 7.8% were lecturers, and 1.3% were the invited
speaker. Respondents were selected based on their voluntary attendance and consent to participate in the post-
event evaluation.
Instrumentation
A structured questionnaire was developed to capture the following data:
Demographics: Gender and attendance group (student, lecturer, speaker)
Pre- and post-understanding: Self-rated on a 10-point scale
Awareness and understanding items: 9 statements using a 5-point Likert scale (1 = Strongly Disagree to 5 =
Strongly Agree) covering:
Q1Q5: Understanding of various drawings (architectural, C&S, infrastructure, survey, M&E)
Q6Q9: Integration, confidence, and perceived benefit of the talk
Overall satisfaction: Star rating (1 to 5 stars)
The internal reliability of the Likert items was confirmed via Cronbach’s Alpha = 0.965, indicating excellent
consistency.
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Data Collection Procedure
Data were collected using Google Forms, distributed immediately after the industrial talk. Participants were
informed about the purpose of the study, and confidentiality was assured. They were required to self-assess their
level of understanding both before and after the session and respond to awareness-related items based on their
learning experience.
Data Analysis
The data were analyzed using SPSS Version 27 [5], following these steps:
Descriptive Statistics: Frequencies, means, standard deviations were calculated for demographics,
understanding levels, and Likert-scale items.
Reliability Analysis: Cronbach’s Alpha was used to assess internal consistency of the 9 Likert items.
Paired Samples T-Test: To compare participants’ understanding before and after the talk.
Independent Samples T-Test: To identify any significant differences in understanding between male and
female participants.
One-Way ANOVA: To compare mean differences among attendance groups (student, lecturer, speaker).
A significance level of p < 0.05 was used for all inferential statistical tests.
RESULTS AND DISCUSSION
Table 1: Descriptive Statistics
Frequency
Percent
Gender
Male
33
42.9
Female
44
57.1
Attendance
Student
70
90.9
Lecturer
6
7.8
Speaker
1
1.3
Table 1 presents a demographic breakdown of participants who attended the industrial talk. The gender
distribution shows a slightly higher number of female participants (57.1%) compared to males (42.9%),
indicating balanced representation with a modest female majority. In terms of attendance groups, the vast
majority of respondents were students, accounting for 90.9% of the total. A small proportion were lecturers
(7.8%), while only 1.3% were speakers. This suggests that the primary audience was student-focused, reflecting
the educational purpose of the session and its role in supporting student awareness and learning about
development planning in the construction industry.
Table 2: Star Rating and Overall satisfaction score distribution.
Minimum
Mean
Std. Deviation
Level of understanding the subject presented BEFORE
attending technical talk. Scale 1 to 10
1
2.75
1.771
Level of understanding the subject presented AFTER
attending technical talk. Scale 1 to 10
5
8.35
1.109
Please rate this industrial talk on a scale of 1 to 5 stars
based on your overall experience and understanding
gained from the session
3
4.68
0.522
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Table 2 illustrates the impact of the industrial talk on participants’ self-reported understanding and their overall
satisfaction. Before attending the session, students rated their understanding of the topic quite low, with a mean
score of only 2.75 out of 10. This indicates limited prior knowledge or exposure to the subject matter of
development planning in construction. After the talk, there was a significant improvement. The average post-
session understanding jumped to 8.35, suggesting that the session was highly effective in delivering relevant
knowledge and improving student comprehension. Furthermore, participants gave the talk an average star rating
of 4.68 out of 5, with the lowest rating being 3 stars. This high satisfaction score reflects a very positive
experience overall, indicating that students found the session valuable, engaging, and beneficial to their academic
and professional growth. This combination of knowledge gain and high satisfaction reinforces the success of the
talk in bridging classroom learning with real-world construction planning practices.
Reliability Analysis
Table 3: Reliability Analysis
Reliability Statistics
Items
Cronbach's Alpha
N of Items
Q1Q9
0.965
9
Table 3 presents the reliability analysis for the 9 Likert-scale items (Q1 to Q9) that measured participants'
awareness and understanding of various development planning components (e.g., architectural, C&S,
infrastructure, M&E, and survey drawings). The result shows a Cronbach's Alpha value of 0.965, which indicates
excellent internal consistency. In simple terms, this means that all the items in the questionnaire are closely
related and consistently measure the same underlying concept students’ awareness and understanding of
development planning after the industrial talk. Since a Cronbach’s Alpha value above 0.7 is generally considered
acceptable, and values above 0.9 are regarded as excellent, this high score confirms that the survey items are
reliable and suitable for further analysis. It also implies that the responses given by students were consistent and
stable across the different aspects of the topic.
Comparative Analysis (Pre vs. Post)
Table 4: Paired Samples Statistics
Measure
Mean
N
Std. Deviation
Std. Error Mean
Before the talk (A3)
2.75
77
1.771
0.202
After the talk (A4)
8.35
77
1.109
0.126
Table 4 shows a clear improvement in participants’ understanding of development planning. Before attending
the industrial talk, the average self-rated understanding was 2.75 out of 10, indicating a low initial level of
knowledge. After the talk, the average understanding increased dramatically to 8.35 out of 10, suggesting that
the session had a significant educational impact on participants.
Table 5: Paired Samples Correlation
Variables Paired
N
Correlation
Sig.
Before vs After Talk
77
0.212
0.064
Table 5 indicates a weak positive correlation (r = 0.212) between the before and after scores, with a significance
level of 0.064. This suggests a slight relationship between initial knowledge and improvement, but the result is
not statistically significant (p > 0.05). In other words, understanding gained from the talk wasn't strongly linked
to how much the participants already knew meaning the talk benefitted all participants regardless of their
prior knowledge level.
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Table 6: Paired Samples Test
Mean Difference
Std. Deviation
Std. Error Mean
t
df
Sig. (2-tailed)
-5.597
1.88
0.214
-26.131
76
0
Table 6 provides the most critical statistical result. The mean difference between before and after understanding
is -5.597, showing a large increase. The t-test result is highly significant (t = -26.131, p < 0.001), confirming
that the difference is not due to chance. This means the industrial talk was highly effective in enhancing
participants' knowledge of development planning. The large t-value and very low p-value (0.000) demonstrate
strong evidence of improvement in understanding as a direct result of attending the session.
The comparative analysis shows a remarkable and statistically significant improvement in participants'
understanding of development planning topics after attending the industrial talk. On average, students moved
from a score of 2.75 to 8.35, indicating the session successfully filled key knowledge gaps. This significant
learning gain is supported by a paired samples t-test, which confirms that the improvement is not only observable
but statistically valid. These results demonstrate the value of industry-academic engagement and highlight the
talk’s effectiveness as a learning platform.
Group Differences
Table 7: Independent Samples Test
Levene's
Test for
Equality of
Variances
t-test for Equality of Means
F
Sig.
t
df
Sig.
(2-tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower
Upper
Q1
Equal
variances
assumed
3.318
0.073
0.275
75
0.784
0.045
0.165
-0.284
0.375
Equal
variances
not
assumed
0.266
59.933
0.791
0.045
0.171
-0.296
0.387
Q2
Equal
variances
assumed
2.406
0.125
0.000
75
1.000
0.000
0.154
-0.306
0.306
Equal
variances
not
assumed
0.000
57.490
1.000
0.000
0.160
-0.320
0.320
Q3
Equal
variances
assumed
3.009
0.087
0.102
75
0.919
0.015
0.149
-0.282
0.312
Equal
variances
not
assumed
0.097
56.212
0.923
0.015
0.156
-0.297
0.327
Q4
Equal
variances
assumed
3.923
0.051
1.051
75
0.297
0.174
0.166
-0.156
0.504
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Equal
variances
not
assumed
1.024
61.669
0.310
0.174
0.170
-0.166
0.514
Q5
Equal
variances
assumed
3.450
0.067
0.952
75
0.344
0.144
0.151
-0.157
0.445
Equal
variances
not
assumed
0.921
59.453
0.361
0.144
0.156
-0.169
0.456
Q6
Equal
variances
assumed
7.243
0.009
-
0.271
75
0.787
-0.045
0.168
-0.380
0.289
Equal
variances
not
assumed
-
0.254
50.605
0.800
-0.045
0.179
-0.404
0.314
Q7
Equal
variances
assumed
2.708
0.104
-
0.713
75
0.478
-0.114
0.159
-0.431
0.204
Equal
variances
not
assumed
-
0.673
51.984
0.504
-0.114
0.169
-0.452
0.225
Q8
Equal
variances
assumed
0.866
0.355
1.214
75
0.228
0.212
0.175
-0.136
0.560
Equal
variances
not
assumed
1.189
63.189
0.239
0.212
0.178
-0.144
0.569
Q9
Equal
variances
assumed
4.564
0.036
0.250
75
0.803
0.038
0.152
-0.264
0.340
Equal
variances
not
assumed
0.238
55.022
0.813
0.038
0.159
-0.281
0.356
Table 7 presents the results of independent samples t-tests conducted to examine whether there were any
significant differences between male and female students in terms of their awareness and understanding of
development planning drawings (Q1Q9) after attending the industrial talk. The analysis compared mean scores
for each item between the two gender groups. Overall, the results show that none of the differences were
statistically significant, as all Sig. (2-tailed) values were greater than 0.05.
For instance, students’ understanding of architectural drawings (Q2) showed no difference at all between genders
(p = 1.000), while their awareness of civil and structural drawings (Q3), infrastructure drawings (Q4), and M&E
drawings (Q6) also showed no significant variance, with p-values well above the 0.05 threshold. The closest to
significance was Q4 (p = 0.297), but this still falls within the range indicating no meaningful difference. Even
the confidence levels in interpreting development plans (Q8) were similar between male and female participants
(p = 0.228), showing that both groups benefited equally from the talk. Furthermore, the Levene’s Test for
equality of variances mostly confirmed that the assumption of equal variances was valid for these comparisons,
meaning the statistical test results can be interpreted with confidence. Taken together, the findings suggest that
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the industrial talk was equally effective for all participants regardless of gender, and that both male and female
students demonstrated comparable levels of understanding and satisfaction after attending the session.
CONCLUSION
This study set out to evaluate the impact of an industrial talk designed to enhance students' understanding of the
development planning process within the construction industry. The talk focused on key technical components,
including architectural, civil and structural, infrastructure, survey, and mechanical and electrical (M&E)
drawings, which are fundamental to real-world construction project delivery. Findings from the descriptive
statistics showed that participants initially had a low level of understanding prior to the talk (mean score = 2.75),
but demonstrated a significant increase in comprehension post-session (mean score = 8.35). This substantial
improvement was further confirmed through a paired samples t-test, which yielded a statistically significant
result (p < 0.001), highlighting the effectiveness of the talk in closing the knowledge gap. The reliability analysis
yielded a Cronbach's Alpha of 0.965 for the Likert-scale items, indicating excellent internal consistency and
validating the quality of the measurement instrument. Moreover, group comparison tests revealed no significant
differences in awareness and understanding between male and female students, suggesting the session was
equally beneficial across genders. Similarly, attendance group differences (student, lecturer, speaker) did not
produce significant variances in understanding levels, reinforcing the broad relevance and accessibility of the
talk's content. In conclusion, the industrial talk served its intended purpose as an effective educational
intervention, providing participants with meaningful exposure to industry practices and technical documentation
essential to construction project planning. The positive results not only support the integration of such initiatives
into the engineering curriculum but also underscore the value of academicindustry collaboration in developing
well-rounded, industry-ready graduates.
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