Perceptions of academics in Nigerian higher education institutions on graduate attributes in computing disciplines that are desirable for employability and entrepreneurship in Nigeria

Main Authors: Bashiru Lawal, Aliyu S. Rafi, Bashir Idris, Agunlejika Aderogba Joseph
Format: Article Journal
Bahasa: eng
Terbitan: , 2021
Subjects:
Online Access: https://zenodo.org/record/5112005
Daftar Isi:
  • This study sought to determine the computing disciplines’ graduate attributes that are perceived as most important by academics of Nigerian Higher Education Institutes (HEIs) to make graduates in computer related disciplines desirable to potential employers and entrepreneurship in Nigeria. The descriptive survey research design was adopted. One hundred and Fifty (150) academic staff of computer related disciplines across the HEIs (Universities, Polytechnics and Colleges of Education) in the North-Western Nigeria were screened and used through convenience random and purposive sampling methods. The Computing Disciplines’ Graduate Attributes Scale (CDGAS) (r = 0.90) was the research instrument used in gleaning the field data. Three research questions were raised and one hypothesis formulated, tested and analyzed using Pearson Product Moment Correlation (PPMC). The findings revealed that effective communication skills, leadership quality, collaboration and teamwork, lifelong learning skills, cognitive ability and practical skills, ability to apply knowledge to solving theoretical and practical problems creativity and innovative thinking are the most important computing discipline’ graduate attributes that are desirable for graduate employability and entrepreneurship in Nigeria. Also, result from hypothesis testing showed no significant relationship between computing discipline graduate attributes desirable for employability and that of entrepreneurship in Nigeria (r = 0.622; P < 0.05). Conclusively, the study recommended that career development support efforts should be included in the curriculum, which will focus on helping prospective graduate in computing related discipline on how graduate attributes can hinder or increase their employability and entrepreneurship strengths.