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Full-Text Articles in Education

Head, Heart, And Hands: A Relationships First Approach To Indigenizing And Decolonizing Education, Sherra Lee C. Robinson Dec 2023

Head, Heart, And Hands: A Relationships First Approach To Indigenizing And Decolonizing Education, Sherra Lee C. Robinson

The Dissertation-in-Practice at Western University

Student engagement within District X is at an all-time low. As District X strives for more equitable learning opportunities, they also work to serve the unique and varying needs of students despite the rising physical and mental health concerns, particularly in the wake of the COVID-19 pandemic that shook students and adults alike, resulting in a global collective trauma and led to the shutdown of schools worldwide in March 2020. These issues are especially prevalent within our most underfunded and underserved populations, such as Indigenous populations. As Canadians, Indigenous relations and calls to adopt Indigenous ways of knowing and being …

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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 …

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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 …

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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 …

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Reform Challenges In School Education, Geoff N. Masters Jan 2023

Reform Challenges In School Education, Geoff N. Masters

School and system improvement

The central thesis of this paper has been that the challenges now confronting schools globally will require fundamental reforms of the external frameworks within which schools work. Today’s challenges to better prepare young people for the future and to ensure that every student learns successfully will not be met by simply expecting teachers to change what they do or by making minor adjustments to current curricula, assessment, examination, reporting and credentialling arrangements. Today’s challenges require deep reforms and a willingness to reimagine—in other words, to ‘transform’ existing learning systems. This is essential because the external frameworks within which teachers and …

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Joint Angle Calculations Using Motion Capture And Deep Learning Pose Estimation While Running, Luke Vankeersbilck, Isaac Hedengren, Mcgyver Clark, Iain Hunter Nov 2022

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 …

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Artificial Intelligence In Cyber Security, University Of Maine Artificial Intelligence Initiative Sep 2021

Artificial Intelligence In Cyber Security, University Of Maine Artificial Intelligence Initiative

General University of Maine Publications

UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more.

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Users’ Sentiment Analysis Toward National Digital Library Of India: A Quantitative Approach For Understanding User Perception, Ritu Sharma, Sarita Gulati, Amanpreet Kaur, Rupak Chakravarty Sep 2021

Users’ Sentiment Analysis Toward National Digital Library Of India: A Quantitative Approach For Understanding User Perception, Ritu Sharma, Sarita Gulati, Amanpreet Kaur, Rupak Chakravarty

Library Philosophy and Practice (e-journal)

Sentiment analysis is also known as opinion mining. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in textual data. It is extremely used by business, educational organizations, and social media monitoring to gain the general outlook of the wide public regarding their product and policy. The current study looks for gaining insights into user reviews on the National Digital Library of India (NDLI) mobile app (android and iOS). For this purpose, sentiment analysis will be used. It yields an average of 3.64/5 ratings based on 11,861 reviews. The dataset includes a total of 4560 user …

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How Education Gets In The Way Of Learning, Geoff N. Masters Aug 2021

How Education Gets In The Way Of Learning, Geoff N. Masters

2021-2030 ACER Research Conferences

The formal structures and processes of school education – including the organisation of the school curriculum, processes for assessing student learning, methods of reporting performance, and the uses to which student results are put – are often inconsistent with what is now known about the best ways to promote human learning. Rather than being designed to maximise every student’s learning, these structures and processes often reflect 20th century priorities, including the use of school education to sort and select students into different education and training destinations, and future careers. This sorting function of schooling is becoming increasingly irrelevant in knowledge …

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Quality Assessment Of Composite Manufacturing Using Automated Visual Inspection System With Sem Images, Md Fashiar Rahman Aug 2021

Quality Assessment Of Composite Manufacturing Using Automated Visual Inspection System With Sem Images, Md Fashiar Rahman

Open Access Theses & Dissertations

The morphology of fibers (e.g., spatial uniformity, orientation, and length) plays a decisive role in determining the material properties or fabrication quality of fiber-reinforced nanocomposites. Hence, determining the morphology becomes a very critical issue in the field of nanocomposite quality control. The conventional way of quality inspection is to take the scanning electron microscopic (SEM) images of the cross-section of composite material and do the visual checking of these SEM images to evaluate the nanofiber alignment and length distribution. But this type of inspection is often subjective, inaccurate and time consuming. Moreover, the extremely small size of nanofibers makes the …

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Artificial Intelligence For Agriculture, University Of Maine Artificial Intelligence Initiative Apr 2021

Artificial Intelligence For Agriculture, University Of Maine Artificial Intelligence Initiative

General University of Maine Publications

UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more.

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Manufacturing And Materials, University Of Maine Artificial Intelligence Initiative Mar 2021

Manufacturing And Materials, University Of Maine Artificial Intelligence Initiative

General University of Maine Publications

UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more.

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Somewhere I'Ve Never Been-Part Iii, John Lanci Jan 2021

Somewhere I'Ve Never Been-Part Iii, John Lanci

JRCA Pedagogy

In this essay, I propose that we examine the implications of a shift of fundamental importance, a shift in the way we see ourselves in the classroom and the difficult changes we need to make in the power relationships traditionally at play in our work.4 What follows is not an analysis of power relationships in general, but thoughts about how power flows in the classroom, and how we might modify that flow to encourage more effective teaching and learning. My point: If we empower students to become not passive listeners but active collaborators, they will be more likely to invest …

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Emerging From The Deep: Complexity, Emergent Pedagogy And Deep Learning, Sue L. T. Mcgregor Dec 2020

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 …

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Applications Of Ai In Business, Industry, Government, Healthcare, And Environment, University Of Maine Artificial Intelligence Initiative Oct 2020

Applications Of Ai In Business, Industry, Government, Healthcare, And Environment, University Of Maine Artificial Intelligence Initiative

General University of Maine Publications

UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more.

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Deep Learning Of Facial Embeddings And Facial Landmark Points For The Detection Of Academic Emotions, Hua Leong Fwa Jul 2020

Deep Learning Of Facial Embeddings And Facial Landmark Points For The Detection Of Academic Emotions, Hua Leong Fwa

Research Collection School Of Computing and Information Systems

Automatic emotion recognition is an actively researched area as emotion plays a pivotal role in effective human communications. Equipping a computer to understand and respond to human emotions has potential applications in many fields including education, medicine, transport and hospitality. In a classroom or online learning context, the basic emotions do not occur frequently and do not influence the learning process itself. The academic emotions such as engagement, frustration, confusion and boredom are the ones which are pivotal to sustaining the motivation of learners. In this study, we evaluated the use of deep learning on FaceNet embeddings and facial landmark …

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Advances In Artificial Intelligence, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter Apr 2020

Advances In Artificial Intelligence, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter

General University of Maine Publications

The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.

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Social, Ethical, Policy, And Legal Considerations, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter Apr 2020

Social, Ethical, Policy, And Legal Considerations, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter

General University of Maine Publications

The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.

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Education And Workforce Development, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter Apr 2020

Education And Workforce Development, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter

General University of Maine Publications

The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.

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Applications Of Ai In Business, Industry, Government, Healthcare And Environment, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter Apr 2020

Applications Of Ai In Business, Industry, Government, Healthcare And Environment, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter

General University of Maine Publications

The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.

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Measuring The Additive Effects Of Multimedia Social Cue Principles On Learners’ Cognitive Load, Emotions, Attitude, And Learning Outcomes, Smruti J. Shah Apr 2020

Measuring The Additive Effects Of Multimedia Social Cue Principles On Learners’ Cognitive Load, Emotions, Attitude, And Learning Outcomes, Smruti J. Shah

STEMPS Theses & Dissertations

Multimedia principles are developed and employed to design effective multimedia instructions that foster learning. Specifically, multimedia principles such as personalization, voice, and embodiment principles are developed based on social cues to promote deep learning. Most researchers in the past have investigated the individual effects of these principles on learning. The goal of the present study was to investigate the additive effects of these abovementioned principles on learners’ perceived cognitive load, emotions, attitude, and learning outcomes (i.e. retention and transfer of knowledge). Sixty college students participated in this study. Participants were asked to complete two short instructional modules and a short …

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Predictive Accuracy Of Recommender Algorithms, William Blake Noffsinger Jan 2020

Predictive Accuracy Of Recommender Algorithms, William Blake Noffsinger

CCE Theses and Dissertations

Recommender systems present a customized list of items based upon user or item characteristics with the objective of reducing a large number of possible choices to a smaller ranked set most likely to appeal to the user. A variety of algorithms for recommender systems have been developed and refined including applications of deep learning neural networks. Recent research reports point to a need to perform carefully controlled experiments to gain insights about the relative accuracy of different recommender algorithms, because studies evaluating different methods have not used a common set of benchmark data sets, baseline models, and evaluation metrics. The …

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Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily Jan 2020

Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily

All Works

© 2013 IEEE. Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful strategies. Motivated by the need to highlight the need for employing AI in battling the COVID-19 Crisis, this survey summarizes the current state of AI applications in clinical administrations while battling COVID-19. Furthermore, we highlight the application of Big Data while understanding this virus. We also overview various intelligence techniques and methods that can be applied to various types of medical information-based pandemic. We classify the …

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Inquiry-Based Learning: Student Teachers’ Challenges And Perceptions, Alain Petro Gholam Dr. Dec 2019

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, …

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Exploring Female Perceptions Of Metacognitive Development In Online Learning, Heather Richards Jul 2019

Exploring Female Perceptions Of Metacognitive Development In Online Learning, Heather Richards

CUP Ed.D. Dissertations

With increased access to higher education through online delivery mediums, it is necessary to evaluate the impact of the learning environment on disadvantaged populations such as female students. As the online learning classroom challenges through distance, isolation, and communication, these factors can influence a positive perception of the learning environment and interfere with deep learning. This qualitative study explored female perceptions of metacognitive development within the online learning environment, as metacognition is a core element of academic success in higher education. Through the design of the conceptual framework and with the support of the literature review, a methodology was selected …

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Improving Knowledge Tracing Model By Integrating Problem Difficulty, Sein Minn, Feida Zhu, Michel C. Desmarais Nov 2018

Improving Knowledge Tracing Model By Integrating Problem Difficulty, Sein Minn, Feida Zhu, Michel C. Desmarais

Research Collection School Of Computing and Information Systems

Intelligent Tutoring Systems (ITS) are designed for providing personalized instructions to students with the needs of their skills. Assessment of student knowledge acquisition dynamically is nontrivial during her learning process with ITS. Knowledge tracing, a popular student modeling technique for student knowledge assessment in adaptive tutoring, which is used for tracing student's knowledge state and detecting student's knowledge acquisition by using decomposed individual skill or problems with a single skill per problem. Unfortunately, recent KT models fail to deal with practices of complex skill composition and variety of concepts included in a problem simultaneously. Our goal is to investigate a …

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Community College Students' Deep Learning Approaches In Oer Courses, Kim Ellen Grewe Jan 2018

Community College Students' Deep Learning Approaches In Oer Courses, Kim Ellen Grewe

Educational Foundations & Leadership Theses & Dissertations

Open Educational Resources (OER) have the potential to bridge the gap for community college students not only because they are more affordable or provide access but also because they have the potential to make learning more meaningful for these same students. Although issues related to access and affordability have been extensively researched, less is known about the ways in which OER use may impact community college students’ deep approaches to learning. More qualitative research around OER efficacy from the student perspective is needed. The purpose of this study was to describe the ways students use OER and how students’ OER …

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Reinventing The High School Government Course: Rigor, Simulations, And Learning From Text, Walter C. Parker, Jane C. Lo May 2016

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 …

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The Interaction Between Learning Styles, Ethics Education, And Ethical Climate, Leanna Lawter, Tuvana Rua, Chun (Grace) Guo Jan 2014

The Interaction Between Learning Styles, Ethics Education, And Ethical Climate, Leanna Lawter, Tuvana Rua, Chun (Grace) Guo

WCBT Faculty Publications

The purpose of this paper is to investigate how learning styles and learning spaces interact to stimulate deep learning. Specifically the paper investigated the interaction of learning styles with ethics education and the ethical climate to influence the likelihood of engaging in ethical behavior.

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Deep Learning Through Reusable Learning Objects, Rosalyn Rufer, Ruifang Hope Adams Jun 2013

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 …

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