Ar-Based Technoself Enhanced Learning Approach to Improving Student Engagement

Abstract

The emerging technologies have expanded a new dimension of self -'technoself' driven by sociotechnical innovations and taken an important step forward in personalised active learning. In particular, Augmented Reality (AR) research has matured to a level to facilitate augmented learning, which is defined as an on-demand learning technique where the learning environment adapts to the needs and inputs from learners. In this paper we firstly study the role of Technology Acceptance Model (TAM) applied in Technology Enhanced Learning (TEL) on how learners come to accept and use a new technology. Then we present the design methodology of a technoself system for adaptive active learning and introduce technoself enhanced learning as a novel pedagogical model to improve student engagement by shaping personal learning focus and setting. Furthermore we describe the design and development of an AR-based learning system and discussed its key features on how to connect with learners and further create new ways to engage. Finally, we validate and evaluate the AR-based technoself enhanced learning approach in a broad diversity of learning practices including constructive activities and analytical activities through experimental AR-based learning apps for digital interpretation.