Employability Skills Model for Engineering Technology Students

Karim, Zatul Iradah Abdul; Maat, Siti Mistima

doi:10.30880/jtet.2019.11.02.008

Cited by 9 publications

(7 citation statements)

References 16 publications

(24 reference statements)

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“…This ensures that students are equipped with the skills that employers value most, enhancing their employability prospects. The study of Sahani et al (2020) confirmed that effective skill-building practices provide university students with opportunities to acquire, enhance, and apply the essential skills required for employment success. These practices, such as internships, simulations, and problem-solving exercises, enable students to translate theoretical knowledge into practical skills directly relevant to the workplace.…”

Section: International Journal Of Research Studies In Education 153mentioning

confidence: 68%

Employability skills, employability readiness and skills building: Basis for student workforce employability framework

Pang

2024

IJRSE

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The study aimed to examine the employability skills, employability readiness and skills building among graduating student in Shandong Province of China and was made the basis in developing a workforce employability framework. The research design was descriptive as it describe the current state of employability skills and employability readiness among university students in Shandong Province. Descriptive research is the most appropriate research design for this study because it aligns with the research objectives and can provide the necessary information to gain a comprehensive understanding of employability skills, employability readiness, and skills building among university students. The survey questionnaires served as the data gathering instrument as it offer a combination of practicality, flexibility, and rigor that makes them an excellent choice for collecting data about employability skills, employability readiness, and skills building among university students in Shandong Province. Their ability to reach a wide audience, collect standardized data, and analyze responses objectively makes them a valuable tool for conducting comprehensive research in this area. The participants of the study were 415 teaching staff of selected 5 well-known comprehensive universities in Shandong Province:

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Section: International Journal Of Research Studies In Education 153mentioning

confidence: 68%

Employability skills, employability readiness and skills building: Basis for student workforce employability framework

Pang

2024

IJRSE

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“…Many changes in industrial settings, job tasks and skill requirements have demanded graduates have the right skills for the right positions (Haron et al, 2019) because different employability skills are needed in different industries. They may involve communication, problem-solving, teamwork, planning and organizing, creativity and innovation, teamwork, independent study, numeracy, information and communication technology, self-management and time management skills (Karim and Maat, 2019). Therefore, WIL and inserting more extra-curricular activities have been proposed to improve graduates' employability (Bridgstock et al, 2019).…”

Section: The Latest Topicsmentioning

confidence: 99%

A bibliometric review of research on employability: dataset from Scopus between 1972 and 2019

Dinh

Luong

Pham³

2022

HESWBL

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PurposeEmployability has long been a concern of scholars because of its complicated nature and changes in the requirements in labor markets to meet the new requirements of the Industrial Revolution 4.0 and globalization. However, there has not yet been much systematic investigation of the existing literature tracing the trends, changes and developments in employability research. This paper aims to fill this void by analyzing data obtained from the Scopus dataset from 1972 to 2019.Design/methodology/approachA total of 1,703 Scopus-indexed articles were filtered from 7,885 documents. The results reflect a rapidly emerging literature on employability, given the worldwide interest in this topic. Using descriptive statistics and bibliometric analyses, the review identified trends in employability research, whose impact has been sustained for several decades.FindingsWith science mapping, the conceptual structure of scientific disciplines was visualized, highlighting three main schools of thought including employers’ requirements and higher education institutions’ preparation; the antecedents of employability; and the role of work-integrated learning in enhancing employability.Originality/valueThe paper calls for more integrative research focusing on personal agency with the development of career paths inside organizations as well as for a more focus on a multilevel perspective exploring both individuals' and organizations’ perceptions.

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“…Next, Logistic Regression was widely used to solve education issues. For example, Karim and Maat (2019) applied Logistic Regression to develop a Student Employability Skills (SES) model for TVET students in Malaysia. Multinomial Logistic Regression was used in solving the problem because the dependent variables were more than two.…”

Section: Application Of Data Mining In Tvetmentioning

confidence: 99%

Predicting Students’ Inclination to TVET Enrolment Using Various Classifiers

Hong¹,

Ch’ng²,

Roslan³

2022

JST

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Technical and Vocational Education and Training (TVET) is an education system that delivers necessary information, skills, and attitudes related to work or self-employment. However, the TVET program is not preferred by most Malaysian students due to several factors such as students’ interest, parental influence, employers’ negative impression, facility in vocational institutions, inexperienced TVET instructors, and society’s negative perception. Consequently, it raises the issue of skilled workers shortage. The gravest threat will be far-reaching, pushing our economy into depreciation. Therefore, it is important to identify the students’ traits and interests before conducting further investigation to turn and thrive in this phenomenon. This study aims to utilise several classifiers (Decision Tree, Neural Network, Logistic Regression and Naïve Bayes) to predict students’ inclination to join TVET programmes. A total of 428 secondary school students from Kedah, Malaysia, are chosen as our survey respondents. The best classifier is determined according to the lowest misclassification rate. The findings revealed that the Decision Tree-based Gini Index with three branches prevail against other classifiers with a misclassification rate of 0.1938. Therefore, the classifier could act as a steer for the Kedah Department of Education (DOE), related parties, and the TVET agency in implementing effective strategies to enliven and inspire students to join TVET programs.

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Employability Skills Model for Engineering Technology Students

Cited by 9 publications

References 16 publications

Employability skills, employability readiness and skills building: Basis for student workforce employability framework

Employability skills, employability readiness and skills building: Basis for student workforce employability framework

A bibliometric review of research on employability: dataset from Scopus between 1972 and 2019

Predicting Students’ Inclination to TVET Enrolment Using Various Classifiers

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