Using Augmented Reality in Software Engineering Education? First insights to a comparative study of 2D and AR UML modeling

Although there has been much speculation about the potential of Augmented Reality (AR) in teaching for learning material, there is a significant lack of empirical proof about its effectiveness and implementation in higher education. We describe a software to integrate AR using the Microsoft Hololens into UML (Unified Modeling Language) teaching. Its user interface is laid out to overcome problems of existing software. We discuss the design of the tool and report a first evaluation study. The study is based upon effectiveness as a metric for students performance and components of motivation. The study was designed as control group experiment with two groups. The experimental group had to solve tasks with the help of the AR modeling tool and the control group used a classic PC software. We identified tendencies that participants of the experimental group showed more motivation than the control group. Both groups performed equally well

Unleashing the Potentials of Immersive Augmented Reality for Software Engineering

In immersive augmented reality (IAR), users can wear a head-mounted display to see computer-generated images superimposed to their view of the world. IAR was shown to be beneficial across several domains, e.g., automotive, medicine, gaming and engineering, with positive impacts on, e.g., collaboration and communication. We think that IAR bears a great potential for software engineering but, as of yet, this research area has been neglected. In this vision paper, we elicit potentials and obstacles for the use of IAR in software engineering. We identify possible areas that can be supported with IAR technology by relating commonly discussed IAR improvements to typical software engineering tasks. We further demonstrate how innovative use of IAR technology may fundamentally improve typical activities of a software engineer through a comprehensive series of usage scenarios outlining practical application. Finally, we reflect on current limitations of IAR technology based on our scenarios and sketch research activities necessary to make our vision a reality. We consider this paper to be relevant to academia and industry alike in guiding the steps to innovative research and applications for IAR in software engineering

IMPLEMENTASI MODEL LEARNING TOGETHER BERBANTUAN MULTIMEDIA INTERAKTIF MENGGUNAKAN AUGMENTED REALITY UNTUK MENINGKATKAN KOGNITIF MAHASISWA PADA MATA KULIAH SISTEM BASIS DATA

Database System course is one of the required subjects in the Computer Science Education Study Program at Universitas Pendidikan Indonesia. The lack of effectiveness in the learning model, multimedia used by educators and student activity in the learning process are the background in this study. The Learning Together Model assisted by using interactive multimedia based on Augmented Reality that aims to improve students cognitive on Database Design material. This study uses SHM (Siklus Hidup Menyeluruh) model by using Computer Science Education Universitas Pendidikan Indonesia's student class of 2019 as sample. The results obtained from this study are: 1) Interactive multimedia's rate is good and suitable for use. The percentage value that obtained was 85,75% which is interpreted "Very Good" by media experts. (2) Interactive multimedia can improve students' cognitive. The average gain value that obtained was 0,65 with effectiveness criteria "Medium". (3) Students toward learning that used interactive multimedia based on Augmented Reality was pretty good. With the average value 89,74% and included in the category "Very Good". Keywords: Learning Together, Augmented Reality, Database Design, Siklus Hidup Menyeluruh (SHM

Conceptualizing Interactions of Augmented Reality Solutions

The rapid evolution of augmented reality has resulted in an ever-increasing number of applications in a wide range of industries and services. Despite this progress, there is still a lack of conceptual understanding of AR interactions and the entire solution space. To bridge this gap, we conceptualize AR solution interactions and provide a comprehensive taxonomy. To represent the state-of-the-art, we build upon an extensive literature review. The resulting taxonomy consists of seven dimensions that encompass 29 characteristics. We contribute to the understanding of AR interactions and, as a result, the applicability of AR solutions in businesses by developing the taxonomy. Likewise, the taxonomy can guide the design of AR solutions as it convincingly describes the solution space