Adaptive knowledge assessment using advanced concept maps with logic branching multiple-choice Google Forms

Abstract

Concept maps (CM) are a learning tool that has emerged into an efficient e-learning and e-assessment knowledge tool. The aim of this research is to propose and share the most important aspects, practices, and achievements of using, with science teachers and a master student, a combination of a metacognitive tool-advanced concept mapping (ACM) to assess mental models with immediate real-time feedback assessment tool. The use of the logic branching feature of multiple-choice Google Forms (MCGF) may enable teachers to customize surveys and to assess within many students' high order thinking skills, with the convenience and efficiency of an automatic grading system. Additionally, the ACM-MCGF enables the test taker to have an adaptive learning practice while undergoing assessment.