Computer science students simulation in capturing tacit knowledge by using NGT for reducing traffic jam

TL;DR

This study demonstrates how computer science students can effectively use the Nominal Group Technique (NGT) combined with social information technologies to capture tacit knowledge and generate ideas for reducing traffic jams.

Contribution

It introduces a simulation method using NGT and social technologies to capture tacit knowledge among students for traffic jam solutions, which is a novel educational approach.

Findings

NGT effectively captures tacit knowledge from students.

Social information technologies enhance participant engagement.

The method generates practical ideas to reduce traffic congestion.

Abstract

The subject knowledge management systems is one of the main courses in information systems study program, faculty of computer science. This course is offered at A concentration for students in semester 5 (five). Knowledge consists of knowledge explicit and tacit. To capture tacit knowledge, it can be done by involving a number of methods, namely: 1) Brainstorming, and 2) Nominal Group Technique. The study also involves a number of social information technologies, such as: 1) Facebook, 2) WordPress, 3) DropBox, and 4) YouTube. The topic for the theme of knowledge is how to reduce traffic jam. After passing 2 (two) simulation rounds, this research get 8 (eight) ideas suggestion related to vehicle parking in an effort to reduce traffic jam. The tacit knowledge capture simulation with NGT is able to provide acceptable suggestions by all the panelists involved. The use of social information technology in this study also received a very good response from the panelists.