Developing smart people in smart cities through education: The role of personality

Since 2017, Indonesia has implemented a pilot project for the Smart City Movement. Even though focused on digital technology usage, smart cities also need people with skills in the digital economy. As one of the foundational skills in the digital economy, Human Skills are vitally important and in greater demand in smart cities. This becomes a challenge as well as an opportunity for higher education. The present study relates Human Skills to graduate attributes as developed by BINUS University, called BINUS Graduate Attributes (BGA) and identifies the role of personality as an access point for developing those skills. Using questionnaires distributed through BINUS Maya and the Lumina Spark online system, we collected 2,014 participants from various majors at the undergraduate level. Out of the 24 personality qualities measured in the Lumina Spark model, Adaptable and Cautious are qualities that do not significantly correlate with those skills. Through regression analysis, it was shown that several qualities have a role in predicting each skill. The result of this study can be used for educators to modify learning methods and environments that enhance the possibility for students to develop each of these Human Skills by utilizing their personalities

Developing smart people in smart cities through education: The role of personality

Since 2017, Indonesia has implemented a pilot project for the Smart City Movement. Even though focused on digital technology usage, smart cities also need people with skills in the digital economy. As one of the foundational skills in the digital economy, Human Skills are vitally important and in greater demand in smart cities. This becomes a challenge as well as an opportunity for higher education. The present study relates Human Skills to graduate attributes as developed by BINUS University, called BINUS Graduate Attributes (BGA) and identifies the role of personality as an access point for developing those skills. Using questionnaires distributed through BINUS Maya and the Lumina Spark online system, we collected 2,014 participants from various majors at the undergraduate level. Out of the 24 personality qualities measured in the Lumina Spark model, Adaptable and Cautious are qualities that do not significantly correlate with those skills. Through regression analysis, it was shown that several qualities have a role in predicting each skill. The result of this study can be used for educators to modify learning methods and environments that enhance the possibility for students to develop each of these Human Skills by utilizing their personalities