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Full-Text Articles in Education
Observing Enables Deeper Learning For Disaffected Learners, Fiona J. Mcdonnell, Eric Crivac
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
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
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 …
Joint Angle Calculations Using Motion Capture And Deep Learning Pose Estimation While Running, Luke Vankeersbilck, Isaac Hedengren, Mcgyver Clark, Iain Hunter
Joint Angle Calculations Using Motion Capture And Deep Learning Pose Estimation While Running, Luke Vankeersbilck, Isaac Hedengren, Mcgyver Clark, Iain Hunter
International Journal of Exercise Science: Conference Proceedings
Marker based motion capture is currently the most accurate method of measuring human kinematics; however, it is expensive and is often limited to lab environments making it unsuitable for many applications. Two-dimensional methods are available through open source code, but it is unclear which of these methods provides the greatest accuracy. PURPOSE: The purpose of this study is to quantify the accuracy of pose estimation from a monocular electro-optical sensor with deep learning to infer segment end points and pose estimation utilizing two open-source code approaches. METHODS: One subject ran at 6.5 m/s for 15 s while being …
Emerging From The Deep: Complexity, Emergent Pedagogy And Deep Learning, Sue L. T. Mcgregor
Emerging From The Deep: Complexity, Emergent Pedagogy And Deep Learning, Sue L. T. Mcgregor
Northeast Journal of Complex Systems (NEJCS)
As indicated in the title – emerging from the deep – this paper proposes that an ability to face and deal with complexity can emerge from deep learning that is facilitated by pedagogies designed to ensure this outcome, especially an emergent pedagogy that instills deep education. Educators would view the classroom as a complex adaptive system (CAS) capable of self-organizing and operating at the edge of chaos where order emerges, just not predictably. Self-directed students would experience a learning environment that is appreciative of nonequilibrium, unpredictability, shifting and emerging patterns and co-evolution. Teachers would be coaches, activators and facilitators. Students …
Inquiry-Based Learning: Student Teachers’ Challenges And Perceptions, Alain Petro Gholam Dr.
Inquiry-Based Learning: Student Teachers’ Challenges And Perceptions, Alain Petro Gholam Dr.
Journal of Inquiry and Action in Education
Inquiry-based learning (IBL) is a student-centered approach driven by students’ questions and their innate curiosity. IBL was introduced and effectively implemented in the general secondary teaching methods course at the American University in Dubai. The study made use of a mixed methods approach. It was guided by two research questions: 1). What factors hinder the implementation of IBL in the student teachers’ classrooms? 2). Why do student teachers favor the use of IBL in their classroom? Eight student teachers enrolled in the general secondary teaching methodology course at the American University in Dubai (Fall 2017) participated in the study. First, …
Reinventing The High School Government Course: Rigor, Simulations, And Learning From Text, Walter C. Parker, Jane C. Lo
Reinventing The High School Government Course: Rigor, Simulations, And Learning From Text, Walter C. Parker, Jane C. Lo
Democracy and Education
The high school government course is arguably the main site of formal civic education in the country today. This article presents the curriculum that resulted from a multiyear study aimed at improving the course. The pedagogic model, called Knowledge in Action, centers on a rigorous form of project-based learning where the projects are weeks-long simulations. The first section introduces the course and the study, the second describes the methodology and design principles, the third describes the political simulations that are the spine of the course, and the fourth examines implementation and design issues that emerged across the years. The …
Deep Learning Through Reusable Learning Objects, Rosalyn Rufer, Ruifang Hope Adams
Deep Learning Through Reusable Learning Objects, Rosalyn Rufer, Ruifang Hope Adams
Journal of Educational Technology Development and Exchange (JETDE)
Being able to leverage an organization’s processes and core competencies to sustain its competitive advantage is important (Ray, Barney, & Muhanna, 2004). One learning objective of an on-line MBA is to teach students how to apply the VRIO (value, rarity, imitate, and operationalize) model, developed by Barney and Hesterly (2006), in order to identify an optimum strategy. However students in the program have had difficulty in understanding this model, partially because of the traditional pedagogy used in online teaching. This case study demonstrates how reusable learning objects (RLO) can facilitate knowledge in an online learningenvironment. The RLO developed and …