Revamping Curriculum Designs in Digital Talent Accelerators for the Modern Technological Landscape
With the current improvement in digital transformation, the need for digital talent with the required skills has also increased. Multiple digital talent accelerators program aims to decrease the digital gap from digital talents in the modern technology landscape. However, since the technological world is always changing, the curriculums of the programs can be outdated, hence need to be updated frequently to achieve its goal. This research found the problem that the current digital talent accelerator program is not updated to fulfill its purpose for preparing digital talents for the modern technological landscape. This research use Structural Equation Modeling (SEM) as the research method. Purposive sampling is used for this research data gathering method which utilizes Google Form in Indonesia from May to June 2024. The total respondent for this research is 238 respondents from Jabodetabek area in Indonesia. This research model has nine variables. There are eleven hypotheses in total in which 10 are significant and one is insignificant. In conclusion, updates in digital talent accelerator programs are necessary to reduce the digital gaps in digital talents. This research contributes in understanding the current situation of digital talents, digital talents accelerator programs, and to improve the curriculum of the programs by updating the curriculum.
Authors
- Erwin Halim (ORCID: https://orcid.org/0000-0003-0714-1108)
- Ai Ping Teoh (ORCID: https://orcid.org/0000-0002-9267-9094)
- Dedy Syamsuar (ORCID: https://orcid.org/0000-0002-2374-9546)
- Anderes Gui (ORCID: https://orcid.org/0000-0002-1036-2609)
- Dhana Suvilitta Sie
- Gregorius Hansel
Institutions
- Universiti Sains Malaysia (MY)
- Binus University (ID)
Publication Details
- Published
- 2024-08-08
- DOI
- https://doi.org/10.1109/ri2c64012.2024.10784443
- Citations
- 1
- Primary Topic
- Engineering Education and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.78