Recommendations for the Classroom Technology and Layout at WPI

The Academic Technology Center (ATC) at WPI replaces the technology in each classroom every five years. The goal of this project, sponsored by the ATC, was to determine how current classroom technology could be improved to enhance the teaching and learning experience. Using interviews and surveys we gathered both qualitative and quantitative information from more than 140 faculty members and 550 students. Based on those findings, we formulated recommendations that include increasing the size of the podium tops and moving the projector screen to maximize board space

BIBS: A Lecture Webcasting System

The Berkeley Internet Broadcasting System (BIBS) is a lecture webcasting system developed and operated by the Berkeley Multimedia Research Center. The system offers live remote viewing and on-demand replay of course lectures using streaming audio and video over the Internet. During the Fall 2000 semester 14 classes were webcast, including several large lower division classes, with a total enrollment of over 4,000 students. Lectures were played over 15,000 times per month during the semester. The primary use of the webcasts is to study for examinations. Students report they watch BIBS lectures because they did not understand material presented in lecture, because they wanted to review what the instructor said about selected topics, because they missed a lecture, and/or because they had difficulty understanding the speaker (e.g., non-native English speakers). Analysis of various survey data suggests that more than 50% of the students enrolled in some large classes view lectures and that as many as 75% of the lectures are played by members of the Berkeley community. Faculty attitudes vary about the virtues of lecture webcasting. Some question the use of this technology while others believe it is a valuable aid to education. Further study is required to accurately assess the pedagogical impact that lecture webcasts have on student learning

Automated lecture video recording, post-processing, and viewing system that utilizes multimodal inputs to provide a dynamic student experience

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (page 59).This thesis describes the design, implementation, and evaluation of EduCase: an inexpensive automated lecture video recording, post-processing, and viewing system. The EduCase recording system consists of three devices, one per lecture hall board. Each recording device records color, depth, skeletal, and audio inputs. The Post-Processor automatically processes the recordings to produce an output file usable by the Viewer, which provides a more dynamic student experience than traditional video playback systems. In particular, it allows students to flip back to view a previous board while the lecture continues to play in the background. It also allows students to toggle the professor's visibility in and out to see the board they might be blocking. The system was successfully evaluated in blackboard-heavy lectures at MIT and Harvard. We hope that EduCase will be the quickest, most inexpensive, and student-friendly lecture capture system, and contribute to our overarching goal of education for all.by Sara T. Itani.M. Eng

Capturing Undergraduate Experience through Participant - Generated Video

The enrolment and attrition rate in science degrees in the Western world is of increasing concern, both nationally and at university level. At the same time, teaching undergraduate science requires universities to invest in laboratories, staff and equipment to meet the initial demand of enrolling students. In this article, I discuss participant - generated video as an innovative method of research used in a study to extend understanding about the experience of science students’ experience in an Australian university. In this paper, I present the method s and practices used to explore the experience of a selected number of undergraduate science students, using a phenomenological approach. Students used video cameras to record their daily experiences and their commentaries on these over the course of a semester. This method of data collection presented interesting issues related to ethics, the underlying organization of the design, and the way the students engaged as participant - researchers. The results of the study showed that the method of participant - generated video data collection educated the students on aspects of research ethics involving human subjects and on reflecting on meaning, which enabled the students to present powerful insights into their own experience

Automatic Lecture Recording

Lecture recording has become a very common tool to provide students with additional media for their examination preparations. While its effort has to stay reasonable, only a very basic way of recording is done in many cases. Therefore, watching the resulting videos can get very boring completely independent of how interesting the original topic or session was. This thesis proposes a new approach to lecture recordings by letting distributed computers emulate the work of a human camera team, which is the natural way of creating attractive recordings. This thesis is structured in six chapters, starting with the examination of the current situation, and taking its constraints into account. The first chapter concludes with a reflection on related work. Chapter two is about the design of our prototype system. It is deduced from a human camera team in the real world which gets transferred into the virtual world. Finally, a detailed overview about all parts necessary for our prototype and their planned functionality is given. In chapter three, the implementation of all parts and tasks and the incidents occurring during implementation are described in detail. Chapter four describes the technical experiences made with the different parts during development, testing and evaluation with a view to functionality, performance, and an proposal towards future work. The evaluation of the whole system with students is presented and discussed in the fifth chapter. Chapter six concludes this thesis by summing up the facts and gives an outlook on future work

3D Reconstruction of Indoor Corridor Models Using Single Imagery and Video Sequences

In recent years, 3D indoor modeling has gained more attention due to its role in decision-making process of maintaining the status and managing the security of building indoor spaces. In this thesis, the problem of continuous indoor corridor space modeling has been tackled through two approaches. The first approach develops a modeling method based on middle-level perceptual organization. The second approach develops a visual Simultaneous Localisation and Mapping (SLAM) system with model-based loop closure. In the first approach, the image space was searched for a corridor layout that can be converted into a geometrically accurate 3D model. Manhattan rule assumption was adopted, and indoor corridor layout hypotheses were generated through a random rule-based intersection of image physical line segments and virtual rays of orthogonal vanishing points. Volumetric reasoning, correspondences to physical edges, orientation map and geometric context of an image are all considered for scoring layout hypotheses. This approach provides physically plausible solutions while facing objects or occlusions in a corridor scene. In the second approach, Layout SLAM is introduced. Layout SLAM performs camera localization while maps layout corners and normal point features in 3D space. Here, a new feature matching cost function was proposed considering both local and global context information. In addition, a rotation compensation variable makes Layout SLAM robust against cameras orientation errors accumulations. Moreover, layout model matching of keyframes insures accurate loop closures that prevent miss-association of newly visited landmarks to previously visited scene parts. The comparison of generated single image-based 3D models to ground truth models showed that average ratio differences in widths, heights and lengths were 1.8%, 3.7% and 19.2% respectively. Moreover, Layout SLAM performed with the maximum absolute trajectory error of 2.4m in position and 8.2 degree in orientation for approximately 318m path on RAWSEEDS data set. Loop closing was strongly performed for Layout SLAM and provided 3D indoor corridor layouts with less than 1.05m displacement errors in length and less than 20cm in width and height for approximately 315m path on York University data set. The proposed methods can successfully generate 3D indoor corridor models compared to their major counterpart

Robustness to lighting variations: An RGB-D indoor visual odometry using line segments

Abstract — Large lighting variation challenges all visual odometry methods, even with RGB-D cameras. Here we propose a line segment-based RGB-D indoor odometry algorithm robust to lighting variation. We know line segments are abundant indoors and less sensitive to lighting change than point fea-tures. However, depth data are often noisy, corrupted or even missing for line segments which are often found on object boundaries where significant depth discontinuities occur. Our algorithm samples depth data along line segments, and uses a random sample consensus approach to identify correct depth and estimate 3D line segments. We analyze 3D line segment uncertainties and estimate camera motion by minimizing the Mahalanobis distance. In experiments we compare our method with two state-of-the-art methods including a keypoint-based approach and a dense visual odometry algorithm, under both constant and varying lighting. Our method demonstrates su-perior robustness to lighting change by outperforming the competing methods on 6 out of 8 long indoor sequences under varying lighting. Meanwhile our method also achieves improved accuracy even under constant lighting when tested using public data. I

ACUTA Journal of Telecommunications in Higher Education

In This Issue President\u27s Message From the ACUTA CEO Wireless Challenges on Campus Snapshot: And Then There\u27s Mass Notification Time to Deploy Wireless Security Cameras? Five Steps to Simplify and Secure BYOD Where Wireless Rules Coming Soon to Your Campus: Wireless loT The Federal Reserve Research Grant and FISMA Compliance Managing Privacy and Security in the Age of loT 2014 Institutional Excellence Awar

State-It: Connecting Students to the Archives

The University Archives Department at Indiana State University (ISU) assists faculty, students, and the public by providing access to and preservation of primary resources and ISU history. Despite the resources and services available, archival holdings are often underused and receive few donations from students and student organizations. These students are often unaware of the function and uses of the archives. To address these concerns, Special Collections staff have created a website utilizing the Omeka platform called STATE-IT to engage students with the University Archives. This site houses digital archival materials, digital exhibits, and oral histories. STATE-IT also provides a quick and easy access point for students to contribute images, documents, and other historical items. This paper focuses on how creating an interactive component increases students’ motivation to contribute to and use the University Archives, providing a look into the past and highlighting their current experiences and perspectives as ISU students