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Full-Text Articles in Education

Observing Enables Deeper Learning For Disaffected Learners, Fiona J. Mcdonnell, Eric Crivac Jun 2023

Observing Enables Deeper Learning For Disaffected Learners, Fiona J. Mcdonnell, Eric Crivac

Middle Grades Review

Post-Covid, upon returning to the classroom, many students, but most especially those from among our more vulnerable populations, have difficulty collaborating and communicating with each other and reconnecting with their learning. We describe how a learning exploration that positioned struggling rising sixth-graders as cricket explorers, who would become cricket experts by observing the habits and behaviors of crickets in their care, nurtured their capacities for collaboration and communication and created a community of deeper learning, for both the students and teacher. That all students have opportunities for deeper learning is a matter of social justice. The exploration took place as …


Computer Vision Aided Hotspot Creation In Virtual Environments, Lama A. Affara, Bilal E. Nakhal Mar 2023

Computer Vision Aided Hotspot Creation In Virtual Environments, Lama A. Affara, Bilal E. Nakhal

Architecture and Planning Journal (APJ)

Hotspot creation is one of the most important modules within virtual environments which helps show the navigators of these environments some information about semantic elements within it and facilitate the navigation between the virtual spaces. In this paper, a system for automatic hotspot proposals and creation in virtual environments is proposed. The system uses computer vision modules to automatically propose hotspot locations in addition to identifying and creating these hotspots with candidate labels. Two main modules used in the system are object detection and scene segmentation. The scene segmentation helps give candidate hotspot areas and provides an overall understanding of …


Using Deep Learning To Generate Front And Backyards In Landscape Architecture, Mehmet O. Senem, Mustafa Koç, Hayriye E. Tunçay, İmdat As Mar 2023

Using Deep Learning To Generate Front And Backyards In Landscape Architecture, Mehmet O. Senem, Mustafa Koç, Hayriye E. Tunçay, İmdat As

Architecture and Planning Journal (APJ)

The use of artificial intelligence (AI) engines in the design disciplines is a nascent field of research, which became very popular over the last decade. In particular, deep learning (DL) and related generative adversarial networks (GANs) proved to be very promising. While there are many research projects exploring AI in architecture and urban planning, e.g., in order to generate optimal floor layouts, massing models, evaluate image quality, etc., there are not many research projects in the area of landscape architecture - in particular the design of two-dimensional garden layouts. In this paper, we present our work using GANs to generate …