The Utilization of Visual Design Systems to Promote Higher Levels of Learning in Educational Environments

Traditional higher education environments have changed very little in the last hundred and fifty years, while technology has advanced in nearly every other area of society making each more productive and more capable. This study identifies key aspects of a comprehensive and universal visual learning system that incorporates a more holistic approach to design and interactivity in educational environments. The desired effect of this is elevating classroom learning to higher levels as defined by Bloom’s Taxonomy. In this thesis, I have collected and explored empirical and observational data to examine the relationship between effective learning environments and the use of visual aids and interactive experiences. Research in the forms of case studies and personae will present how effective educators are utilizing technology and visuals in and out of the classroom and how individuals associate information through relationships of color, shape, form, hierarchy and other visuals. This research has been applied to a brand identity system designed to facilitate deeper learning and specifically applied to the hypothetical department of Creative Arts at West Coast Baptist College. Visual support of a presentation must include powerful storytelling, the establishment of an emotional connection between speaker and audience, a rigorous and thorough preparation, and content mastery on the part of the presenter. Online learning-based video content should take advantage of bilateral cognitive processing of both visuals and audio, should be limited in length to capitalize on the ideal attention span of the viewer, and should be bundled with interactive, actionable content or questions for the best long-term retention rates. The aim of the research was to establish a set of guidelines for the evolution of education in the adoption of modern visual and interactive design systems to better engage a new generation of learners. The research has been applied to create a flexible, comprehensive, and universal design system that can be packaged for implementation in the classroom environment in nearly any teaching field

Student Research Colloquium Proceedings 2009

2009 Student Research Colloquium proceedings include the following: a schedule of the day\u27s events, acknowledgement of research sponsors, the day\u27s program, conference presentation abstracts, student presenter index, research sponsor index, planning committee, poster and paper presentation judges, registration desk, sponsors, and donors, map of Atwood Memorial Center. Keynote address on greenhouse gases, global demand for energy, and tomrorow\u27s technology to address these issues given by Dr. Sean Garrick, Associate Professor, Department of Mechanical Engineering, University of Minnesota. Sustainability Panel Discussion panelists: Dr. Anthony Akubue, Professor, Environmental and Technological Studies, St. Cloud State University; Dr. Sean Garrick, Associate Professor, Mechanical Engineering, University of Minnesota; Valerie Knopp, Assistant Director of Financial Aid, Offices of Scholarships and Financial Aid, St Cloud State University; Teresa A. Lamo-Nelson, Doctoral Candidate, Higher Education Administration, St. Cloud State University; Angela Olson, Assistant Professor, Aviation, St. Cloud State University; Dr. Tracy E. Ore, Associate Professor/Coordinator, Sociology and Anthropology/St Cloud State University Community Garden, Dr. Mitch Bender (Moderator), Associate Professor, Environmental and Technological Studies, St Cloud State University

Program: Graduate Research Achievement Day 2019

Full program for 2019 Graduate School Achievement Day.https://digitalcommons.odu.edu/graduate_school/1001/thumbnail.jp

2013-2014

Contains information on courses and class descriptions as well as campus resources at Collin College.https://digitalcommons.collin.edu/catalogs/1025/thumbnail.jp

Beyond the pixels: learning and utilising video compression features for localisation of digital tampering.

Video compression is pervasive in digital society. With rising usage of deep convolutional neural networks (CNNs) in the fields of computer vision, video analysis and video tampering detection, it is important to investigate how patterns invisible to human eyes may be influencing modern computer vision techniques and how they can be used advantageously. This work thoroughly explores how video compression influences accuracy of CNNs and shows how optimal performance is achieved when compression levels in the training set closely match those of the test set. A novel method is then developed, using CNNs, to derive compression features directly from the pixels of video frames. It is then shown that these features can be readily used to detect inauthentic video content with good accuracy across multiple different video tampering techniques. Moreover, the ability to explain these features allows predictions to be made about their effectiveness against future tampering methods. The problem is motivated with a novel investigation into recent video manipulation methods, which shows that there is a consistent drive to produce convincing, photorealistic, manipulated or synthetic video. Humans, blind to the presence of video tampering, are also blind to the type of tampering. New detection techniques are required and, in order to compensate for human limitations, they should be broadly applicable to multiple tampering types. This thesis details the steps necessary to develop and evaluate such techniques