Other researchers’ articles
This section of the study presents other extant studies on bridging the digital skills gap with disruptive technologies in engineering.
Table 2.2 Other researchers’ articles
No
|
Research questions
|
Source data
|
Type of instrument
|
Data analysis technique
|
1
|
What are the factors that that affect the quality of TVET in Manpower Department Technical Institution (MDTI) MDTI?
What are the improved strategies that give the impact on the quality of TVET in MDTI?
|
A closed ended question was given to 480 MDTI instructors.
|
The study was applying the quantitative methods for data collection using structured questionnaire The questionnaire consists of 54 items has been developed to gain the instructors’ opinion on various factors related to the students, instructors, training institution, responsible agency and improvement strategies which accessing the quality of TPT and
TVET.
|
The collected data was analyzed statistically using Statistical Package for the Social Sciences (SPSS)
software.
|
2
|
Are the Italian engineering students effectively ready for Industry 4.0 or do we still work on it?
|
A total of 463 students participated to the survey It has been administered to undergraduate engineering students.
|
In particular, a questionnaire was developed to analyze this situation
|
The collected answers provided a picture of the actual situation in these three universities with some relevant considerations about engineering education.
|
3
|
What are the indicators that can measure students' employability skills and attributes
|
These samples included 528 respondents who had done the work practices of the industry. The research respondents were students of the Faculty of Engineering, Universitas Negeri Makassar, divided into several majors.
|
Questionnaire was use to solicit information from respondence.
|
The method used Confirmatory Factor Analysis (CFA) with primary data obtained from surveys of students through a questionnaire will be analyzed using the AMOS
program.
|
4
|
What skills set do Mechanical, Electrical and Civil Engineering graduates need for sustainable employability
|
Perceived by Engineering staff and graduates from Majuba TVET College
|
A qualitative case study approach was used to answer the research questions
|
The data were analysed through document analysis, content analysis and the thematic methods
|
5
|
1. What are personal digital devices that students have to support their learning outside the learning environment?
|
Data was collected online using JISC’s ‘Online Surveys’
formerly Bristol Online System (BOS). The
survey reached
|
The study utilized a descriptive quantitative research design to understand students’ use of digital devices to support learning outside the
classroom and their experiences of digital technology at course
|
The data was analysed using the ‘Online Survey’ tool that automatically calculated
basic descriptive
|
|
To
what extent do students experience
digital activities at course level?
Is there any difference in students’ experiences of digital activities at course level?
|
13,364 students,
with 800 students
(6%) responding.
|
level in a leading dual- mode HEI in Ghana.
|
statistics and presented data visually as tables. In addition, SPSS version 25 was used to perform other statistical analyses. The two-way ANOVA
statistical test tool was used to determine whether inferential relationships existed between the students depending on mode of study
|
6
|
What are differences between online and FTF pubic speaking in the students’ anxiety level, speech performance, as well as their perceptions of the challenges in the implementation of online public speaking courses as a potential to disruptive innovation
|
This pilot study was a mixed method research that involved a purposive sampling of two groups of 39 students in higher education.
|
The instruments used were
questionnaires of self- report anxiety, speech performance test and observation. The questionnaire consisted of 34 items on a five- point Likert scale (5 = very agree; 4 = agree; 3
= not sure; 2 = disagree; 1 = very disagree) in which the students needed to fill in the level of anxiety they experienced
|
All the data collected were analysed based
on descriptive statistics of the items and grades. The software used for data calculation is the
Statistical Package for Social Science (SPSS)
|
7
|
What are the directions, trends, impacts, as well as policies of Technical Vocational Education and Training Workforce Skill Development Policy and
Strategy to Support fourth
|
Research methodology used in qualitative research and procedures for conducting studies
|
Research methodology used in qualitative research and procedures for conducting studies
|
Qualitative information obtained through interview research and documents is analyzed and processed by linking relationships
in various factual terms.
|
|
industrial
|
|
|
Both logically
|
revolution due to
|
and
|
Disruptive
|
effectively, in
|
Technology
|
which the
|
|
analysis is
|
|
released in the
|
|
manner of
|
|
depiction,
|
|
leads to
|
|
answers in the
|
|
study and is
|
|
summarized
|
|
academically,
|
|
accompanying
|
|
the report’s
|
|
writing.
|
The Novel of my
Research
|
How can traditional mechanical training frameworks be transformed to digital learning environment?
|
Mechanical Engineering Lecturers
Final Year Mechanical Eng. Studs. (Automobile & Production)
|
Triangulation method Approach
Quantitative/Qualitative Questionnaire
Focus group discussion
|
Descriptive Statistics (SPSS)
(PLS-SEM)
Thematic analysis
|
|
What model best fit for implementation of disruptive technologies in training mechanical engineers?
|
Industry Engineers
CTVET Officials
|
In-depth interview
|
|
The investigation of TVET mechanical engineering graduates and employment included a practical study of vital issues gathered from theoretical perception, experience, and assessment of related literature. This investigation is generally centred on the ideas developed from Technology Acceptance model and theory of plan Behaviour. Pynoo and Van Braak (2014) addressed this issue by combining the TPB with the technology acceptance model to build a more accurate model for predicting instructors' behaviour. Figure 2 explains clearly and coherently the set of variables that mainly guided the study.
The study sought to investigate how the mechanical engineering graduates rate the process of training in terms of the capacity of lecturers to deliver mechanical engineering content. The significance of skills taught at the TUs, the application of
disruptives technologies, the availability and use of physical resources and the level of linkages and collaboration with industries. The investigation also tried to discover the degree to which the TVET institutes equip their graduates with the anticipated skills. Concerning the work market, the investigation looked to discover the skills that employers consider significant when employing mechanical engineering graduates. Securing quality, appropriate, and adequate skills calls for the availability of acceptable physical and human resources.
The inputs feed directly into the training process, where the transformation of trainees takes place through teaching and learning by their trainers, and in the process, they acquire skills. The output of this training process is a trained graduate whose competency level is portrayed by the level of training, area of specialization, performance in examinations and skills acquired. The main objective of MET is to help students obtain employment.
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