Issue-based Guided Inquiry Model with Real Socioscientific Open Data

Abstract

Scientific literacy is one of the key learning for modern students to be cultivated. Therefore, the main purpose of this study is to propose a issue-based guided inquiry model wherein students use real open data to solve socioscientific issues. Through hypothesis, students actively conduct content investigation, data collection and interpretation, and ultimately result generalization to build their own resolutions to treat socioscientific issues. Then, students learn from each other about the content interpretations and at the same time hear and compare different results done by the other groups. The results show the online guided inquiry model can increase students' motivation to learn and open-ended questions with appropriate orientation will encourage students to delve deeper.