Online Schools Ratings
Online Schools Ratings
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Online Student Ratings of Instruction $29 This volume examines the development and growing use of online student ratings and the potential impact online rating systems will have on the future of students’ evaluations of teaching.  The contributors demonstrate how the preference for online evaluation is growing, even amidst challenges and doubt. Sharing their first-hand experience as researchers and administrators of online systems, they explore major concerns regarding online student ratings and suggest possible solutions. D. Lynn Sorenson and Christian M. Reiner review existing online-rating systems that have been developed independently across the globe. Kevin Hoffman presents the results of a national survey that tracks the increased use of the Internet for student ratings of instruction. At Northwestern University, Nedra Hardy demonstrates how ongoing research about online student evaluations is helping to dispel common misperceptions. Application of online rating systems can present institutions with new challenges and obligations. Trav D. Johnson details a case study based on five years of research in the response rates for one university’s online evaluation system and suggests strategies to increase student participation.  Reviewing online reporting of results of online student ratings, Donna C. Llewellyn explores the emerging issues of security, logistics, and confidentiality. Other chapters explore existing online systems, highlighting their potential benefits for institution and instructor alike. Beatrice Tucker, Sue Jones, Lean Straker, and Joan Cole analyze Course Evaluation on the Web (CEW), a comprehensive online system for instructional feedback and improvement. Cheryl Davis Bullock reviews the Evaluation Online (EON) system and its successful role in facilitating midcourse student feedback. The fate of online rating may rest in the unique advantages it may – or may not – have over traditional ratings systems. Debbie E. McGhee and Nana Lowell compare online and paper-based methods through mean ratings, inter-rater reliabilities and factor structure of items.  Comparing systems from another angle, Timothy W. Bothell and Tom Henderson examine the fiscal costs and benefits of implementing an online evaluation system over paper-based systems. Finally, Christina Ballantyne considers the prominent issues and thought-provoking ideas for the future of online student ratings raised in this volume. Together, the contributors bring insight and understanding to the processes involved in researching and initiating innovations in online-rating systems. This is the 96th issues of the quarterly journal New Directions for Teaching and Learning. |
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A Comparison of Online Law Schools $7.8 No Synopsis Available |
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Ratings $4.99 For everything you do, there’s a song that hits the spot. MOG brings them all to you: a world of music on demand, unlimited mobile downloads and ways to discover music free from the limitations of Pandora. The music you love, with you everywhere you go. |
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Online Student Ratings of Instruction: New Directions for Teaching and Learning, No. 96 $27.71 No Synopsis Available |
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Paragon TP-4 Theater Pop 4-Ounce Popper Popcorn Machine $339.00 Ideal for home use, this popcorn machine is styled just like the one you see at the movie theater, with a bright red cabinet and classic graphics. The machine produces delicious, theater-quality popcorn in just three to five minutes, and can pop up to 92 servings of popcorn per hour (1 ounce of popcorn per serving). Highlights include a high-output, side-hinged, hard-coat anodized aluminum kettle;… |
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Ben 10: Race Against Time $4.98 In this exciting live-action adaptation of the popular animated series, young Ben Tennyson (Graham Phillips) takes on the amazing powers of 10 different alien beings to confront a super-villain who has teleported to the town of Bellwood to wreak havoc. In fact, the evil Eon (Christien Anholt) will stop at nothing to steal Ben’s Omnitrix watch, the device which gives him his incredible powers. Lee … |
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Wireless IP Pan/Tilt/ Night Vision Internet Surveillance Camera Built-in Microphone With Phone remote monitoring support(Black) $46.88 Specs: Image Compression Format: M-JPEG standard Image Resolution: VGA(640×480) / QVGA(320×240) Sensor: 1/4 inch CMOS, 300,000 Pixels Light frequency: 50Hz, 60Hz or Outdoor Audio compression: ADPCM Data rate: 802.11b: 11Mbps (Max.), 802.11g: 54Mbps (Max.) Ethernet: One 10/100Mbps RJ-45 Viewing angle: 67? Horizontal Rotating Angle: 0~270? Vertical Rotating Angle: 0~120? Alarm Mode: motion detection… |
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Black & Decker CHV9610 Dustbuster 9.6-Volt Cordless Hand Vac $29.99 The Black & Decker 9.6V Dustbuster cordless hand vacuum features Best in Class suction and 75% more dirt capacity, which picks up more debris and requires less emptying. A removable, washable dirt bowl and filters for a thorough hygienic cleaning. It is wall mountable for convenient storage and has a charging indicator light. 8” H. x 5.5” W. x 14” D. Weight: 4 lb. The CHV9610 includes wall moun… |
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Computer Science Competitions $14.14 Purchase includes free access to book updates online and a free trial membership in the publisher's book club where you can select from more than a million books without charge. Chapters: Netflix Prize, Acm Icpc Dhaka Site, Loebner Prize, Text Retrieval Conference, Cs Games 2006, Competitions and Prizes in Artificial Intelligence, Maine Student Web Design Awards, Uav Outback Challenge, Darpa Network Challenge, Computer Bridge, Project Euler, University Voting Systems Competition, American Computer Science League, Superquest, International Schools' Software Competition, Text Mode Demo Contest, Aavishkaar, Cade Atp System Competition, Australasian Schools Computer Competition, National Best Quality Software Awards, Chatterbox Challenge. Excerpt: The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings. The competition was held by Netflix, an online DVD-rental service, and was open to anyone not connected with Netflix (current and former employees, agents, close relatives of Netflix employees, etc.) or a resident of Cuba, Iran, Syria, North Korea, Myanmar, or Sudan. On 21 September 2009, the grand prize of US$1,000,000 was given to the BellKor's Pragmatic Chaos team which bested Netflix's own algorithm for predicting ratings by 10%. Netflix provided a training data set of 100,480,507 ratings that 480,189 users gave to 17,770 movies. Each training rating is a quadruplet of the form |