Construction and Built Environment Education in A Digital Context

A special issue of Education Sciences (ISSN 2227-7102).

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 12377

Special Issue Editors


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Guest Editor
City Futures Research Centre, School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia
Interests: sensing technologies; AI; machine learning; advanced GIS; BIM; digital twins; city analytics methods; digital construction; smart cities; smart construction
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Built Environment, UNSW Sydney, Sydney, NSW 1466, Australia
Interests: sustainability; energy efficiency; artificial intelligence; smart city; digital twin; applications of the internet of things; advanced GIS; LiDAR; BIM; digital technology in infrastructure; mixed reality applications; information and communication technology; spatial analysis and visualization; authentic education
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Partnership for 21st Century Learning (P21) suggested four skills for people, including creativity, critical thinking, communication, and collaboration. Technological and educational changes have the potential to improve these skills and promote more entrepreneurial thinking and experiential and lifelong learning. For example, mixed reality (virtual and augmented) has the potential to significantly enhance collaboration, communication, and teamwork among BECE students and their instructors, their motivation, and knowledge construction. Digital technologies are perceived to be beneficial in some disciplines since they offer immersion into learning, allow personalising the learning environment, and train both knowledge and physical skills of the learners. However, many challenges need further investigation such as financial restraints, hardware or software complexity, physical limitations and health issues. Another challenge is the effective use of these technologies to enhance student collaboration occurring on learning projects between individuals, small groups or larger groups in both distance learning and classroom-based teaching. In order to allow students to learn anywhere and anytime, the application of digital technology is a must. Digital education technology needs to be incorporated in the future of BECE education to ensure students can enhance their skills to cope with a building project dependent on new technology.

This Special Issue concerns teaching and learning topics in the field of built environment and civil engineering (BECE) disciplines, including construction and property management, urban planning, architecture, structural design, civil and environmental engineering, remote sensing, material science, and other relevant files. Another concern is to address how digital technology enables remote, self-managed and self-paced learning based on a learner’s preferences and to identify barriers and challenges in specific theoretical, computational or practical subjects in the BECE disciplines. 

This Special Issue also intends to collect relevant works in two main directions: (a) the implementation of digital technologies such as mixed reality and online platforms in education; (b) technology education such as BIM and GIS training. The first direction investigates how various strategies, such as blended learning, including four submodels—Station Rotation, Lab Rotation, Flipped Classroom, and Individual Rotation—can enhance teaching and learning experiences. The second direction addresses the challenges of teaching new information technologies that should be used in practice, such as BIM, GIS, 3ds Max, Rhino 3D modeler, Primavera, and so forth.

In this Special Issue, we are mainly interested in case studies that involve real-world problems and projects, a critical and systematic review of the literature, experimentational, analytical, theoretical exploratory studies, forums, and discussions. They may cover any of the following topics in the context of BECE, as well as any other relevant topics not included in the list:

  • Digital education pedagogies: state of the art
  • Mixed reality (virtual and augmented) applications in education
  • Innovative curriculum development for the digital age,
  • The impact of digital technology on academic achievement
  • Effective use of digital technologies to enhance student performance and engagement
  • Digital assessments models
  • Massive open online courses (MOOC)
  • Blended learning models and applications
  • Diagnostic assessment including diagnostic, formative, summative, norm-referenced, and criterion-reference assessments
  • Authentic education and leadership
  • Continuing and online professional development strategies
  • Diversity and inclusion
  • Experiential and lifelong learning of practitioners  
  • Governance of learning and teaching
  • Teaching and learning using evidence-based practices
  • Technology education literacy and practice (e.g., BIM and GIS)
  • Key ideas–thinking skills–values–habits of mind
  • Future of laboratory
  • Novel teaching methods in a digital age
  • Green and sustainable education
  • Fostering connectedness, collaboration, and co-creation

References

  1. Sepasgozar, S.M., 2020. Digital Twin and Web-Based Virtual Gaming Technologies for Online Education: A Case of Construction Management and Engineering. Applied Sciences, 10(13), p.4678.
  2. Ruge, G., Tokede, O. and Tivendale, L., 2019. Implementing constructive alignment in higher education–cross-institutional perspectives from Australia. Higher Education Research & Development, 38(4), pp.833-848.
  3. Ruge, G. and McCormack, C., 2017. Building and construction students’ skills development for employability–reframing assessment for learning in discipline-specific contexts. Architectural Engineering and Design Management, 13(5), pp.365-383.
  4. Shirowzhan, S., Kimmel, L., Mojtahedi, M., Sepasgozar, S. and Peacock, J., 2020. A GIS-Based Risk and Safety Analysis of Entrance Areas in Educational Buildings Based on Students’ Experience. In Smart Cities and Construction Technologies. IntechOpen.
  5. Shirowzhan, S., Lim, S., Trinder, J., Li, H. and Sepasgozar, S.M., 2020. Data mining for recognition of spatial distribution patterns of building heights using airborne lidar data. Advanced Engineering Informatics, 43, p.101033.
  6. Shirowzhan, S., Tan, W. and Sepasgozar, S.M., 2020. Digital Twin and CyberGIS for Improving Connectivity and Measuring the Impact of Infrastructure Construction Planning in Smart Cities.

Dr. Sara Shirowzhan
Dr. Samad Sepasgozar
Guest Editors

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Keywords

  • Mixed reality (virtual and augmented reality)
  • Digital tools
  • Geographical information systems (GIS) education
  • Building information modeling (BIM) education
  • E-learning
  • Blended learning
  • Built environment
  • Civil engineering
  • Construction management
  • Property management

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Published Papers (3 papers)

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16 pages, 1472 KiB  
Article
Augmented Reality Applications in Education and Examining Key Factors Affecting the Users’ Behaviors
by Mohsen Ghobadi, Sara Shirowzhan, Mohammad Mehdi Ghiai, Fatemeh Mohammad Ebrahimzadeh and Faham Tahmasebinia
Educ. Sci. 2023, 13(1), 10; https://doi.org/10.3390/educsci13010010 - 22 Dec 2022
Cited by 7 | Viewed by 3579
Abstract
Augmented Reality (AR) is increasingly influential in education. AR technology allows users to learn and practice in a simulated environment that enables repetition, correction, and failure without risk. The present study evaluated users’ attitudes towards using AR for learning complex tasks. The users [...] Read more.
Augmented Reality (AR) is increasingly influential in education. AR technology allows users to learn and practice in a simulated environment that enables repetition, correction, and failure without risk. The present study evaluated users’ attitudes towards using AR for learning complex tasks. The users are asked to interact with an AR Piling (ARP) application that shows various steps of a construction process. A set of selected practitioners and students used the application, and the evaluation involved various participants of different genders and backgrounds. A questionnaire was designed and data was collected through an online survey based on the Technology Acceptance Model (TAM). The model is modified considering education practices and adjusted to an AR app for learning purposes. The novelty of the model lies in various constructs such as technical quality, social influence, perceived immersion, learning, and perceived enjoyment. 200 responses were obtained and used for evaluating the proposed model. The attitude toward using AR and the perceived usefulness of AR were the two factors that determined the participants’ behavioral intention to use ARP. Respondents showed a high level of acceptance for AR. In education and higher learning contexts, the findings of this study contribute to a deeper understanding of how AR is accepted in complex learning environments. The study allows us to extend the TAM by examining how AR technology can be applied to teaching in universities and unpack the ways in which gender influences learning through AR application. Full article
(This article belongs to the Special Issue Construction and Built Environment Education in A Digital Context)
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18 pages, 3736 KiB  
Article
Teacher Perceptions of Training and Pedagogical Value of Cross-Reality and Sensor Data from Smart Buildings
by Shawn Rowe, Mariapaola Riggio, Raffaele De Amicis and Susan R. Rowe
Educ. Sci. 2020, 10(9), 234; https://doi.org/10.3390/educsci10090234 - 4 Sep 2020
Cited by 5 | Viewed by 3810
Abstract
This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and [...] Read more.
This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12 science, technology, engineering, and mathematics (STEM) experiential learning and foster BECE-related career awareness. We conducted surveys and informal questionnaires with 33 primary and secondary teachers attending an annual two-day university-based teacher professional development workshop as part of a statewide STEM afterschool program serving students in rural communities. We assessed teachers’ familiarity with, knowledge about, and appraisal of using cross-reality platforms and sensor data in classrooms and after school curricula. Findings show that, while all teachers reported relatively high interest in learning about sensor applications and innovative interactive techniques, middle school teachers in particular were most likely to see value in using these applications for teaching and learning. Implications for teacher professional development are discussed. Full article
(This article belongs to the Special Issue Construction and Built Environment Education in A Digital Context)
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13 pages, 245 KiB  
Discussion
An Experiential Online Training Approach for Underrepresented Engineering and Technology Students
by Arefeh Mohammadi, Kevin Grosskopf and John Killingsworth
Educ. Sci. 2020, 10(3), 46; https://doi.org/10.3390/educsci10030046 - 25 Feb 2020
Cited by 4 | Viewed by 3637
Abstract
Workforce pipelines are essential to sustain a productive workforce in an increasingly competitive, high-tech environment. Advanced automation, sensors, materials and data analytics will increase the need for highly skilled workers in the manufacturing (and manufactured construction) sector. Attracting and developing the next-generation workforce [...] Read more.
Workforce pipelines are essential to sustain a productive workforce in an increasingly competitive, high-tech environment. Advanced automation, sensors, materials and data analytics will increase the need for highly skilled workers in the manufacturing (and manufactured construction) sector. Attracting and developing the next-generation workforce is not without its challenges; however, students are often deficient in technical skills and generally have negative perceptions about manufacturing and construction. As a result, new education and training models have been developed to provide instruction at all levels of the educational system, with a focus on both traditional students and non-traditional students, including ethnic minorities, women, veterans, disabled persons and older adult learners. This study focused specifically on certain underrepresented students in STEM programs offered at community colleges in the Great Plains region of the U.S. An available online training program by the Society of Manufacturing Engineers was used as a contextualized online training tool. The Learning Management System embedded in this online training tool was used to gather student data. Conducting multiple regression analyses on the test outcomes, completion rates, and improvement between post-test and pre-test scores showed that female participants achieved greater improvement between pre- and post-test scores than males, and achieved higher rates of credentialing compared to all other demographic groups. African American participants achieved greatest improvement between pre- and post-test scores than all other ethnic groups while Hispanics achieved higher rates of module completion. Additionally, this study also examines the background related to contextualized teaching and learning, as well as the effectiveness of this delivery method for these underrepresented populations. Full article
(This article belongs to the Special Issue Construction and Built Environment Education in A Digital Context)
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