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An Electronic Chalkboard for Classroom and Distance Teaching

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An Electronic Chalkboard for Classroom and Distance Teaching An Electronic Chalkboard for Classroom and Distance Teaching Dissertation zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften im Fachbereich Mathematik und Informatik der Freien Universit¨at Berlin vorgelegt von Lars Knipping aus Itzehoe 14. Februar 2005 ii Gutachter: Prof. Dr. Ra´ulRojas Prof. Dr. Ruedi Seiler Preface Quis leget haec? Persius, Satires, 1:2 Many people have contributed to the development of the system being de- scribed in this thesis. The project was conceived by Prof. Dr. Ra´ulRojas, who accompanied its development and provided many ideas. The first prototype of the board software was written by Wolf-Ulrich Raffel. The entire audio part is authored by Gerald Friedland, on the basis of the WWR system by Gerald Friedland and Tobias Lasser and its successor WWR2 by Gerald Friedland and Bernhard Fr¨otschl. Gerald Friedland also designed the multimedia editor called Exymen and the video part of the E-Chalk system. Kristian Jantz assisted in the video software development. He implemented the SID plug-in for Exymen, the Maple connection for the board, and a number of tools: one for converting lecture recordings to AVI and QuickTime movies, another for generating board snapshots, one for updating the audio format, and a tool for restoring damaged recordings. Ernesto Tapia developed the mathematical handwriting recognition inte- grated in the board component. Mary Ann Brennan wrote the first version of the PDF generator and the JMF audio plug-in for Exymen. Stephan Lehmann implemented the program to convert E-Chalk recordings to Windows ASF files. Dr. Peter R¨ußman added capabilities for function definition and function plot- ting for the small built-in computer algebra system. Sebastian Frielitz and Robert G¨unzler realized the connection with an Oracle database, and Thomas Reimann implemented the tool for automatic upload to a BlackBoard LMS. The handwriting synthesis is the work of Yark Schroeder and the PowerPoint importer was done by Shirzad Kamawall and Alexandar Rakovski. Florian Theimer has to be credited for the extraction of keywords by means of hand- writing recognition on recorded board data. The logic-recognition chalklet is the work of Marcus Liwicki. The TicTacToe chalklet was realized by him, too. Chalklets described on algorithmic animations are developed by Dr. Margarita Esponda. Olga Krupina authored the chalklet on Neural Network simulations. Henrik Steffien and Brendan O’Connor devel- oped the Python-interpreting chalklet. The FU data wall was designed by Prof. Dr. Ra´ulRojas. The laser pen tracking used by the data wall is founded on the work of Michael Diener. The bluetooth extension possibilities were tested by J¨orgRebenstorf. Most of the actual work in setting up the data wall is to be credited to Christian Zick. He also was of great practical assistance to all project members on numerous occasions. iii iv Joachim Schulte conducted the extensive user evaluations on the system in university teaching. Stefanie Eule evaluated the usage in K-12 schools. For valuable feedbacks, I would like to give thanks to many users, especially to the MOSES team of Prof. Dr. Ruedi Seiler and Dr. Sabina Jeschke, including Erhard Zorn, Sven Grottke, Robert Luce, and others. Special compliments should also go to Dr. Ulrich Kernbach of the Deutsches Museum in Munich and to the Himmel5 team. I owe thanks to Guido Reuter of the MCR GmbH for expert information on board hardware and software, for generously providing test hardware, and for lots of interesting input. For polishing up my English, I am indebted to Heike Hellner, Gerald Fried- land, Christian Zick, and Peter Monnerjahn. Finally, for their kindness and support, I want express my gratitude to my friends, my parents, and my beloved Diana. Contents 1 Introduction and Related Work 1 1.1 The E-Learning Landscape . 1 1.2 E-Chalk: The Idea . 5 1.3 Board Hardware . 7 1.3.1 Digital Boards . 8 1.4 Pen Computing Software . 9 1.5 Pen-based Office and CSCW Tools . 11 1.5.1 Personal Note-Taking . 11 1.5.2 Commercial Digitizing Whiteboard Software . 12 1.5.3 Tivoli/MeetingBoard . 12 1.5.4 Flatland . 13 1.5.5 i-LAND and FLUIDUM . 14 1.5.6 IRoom/I-Workspace . 14 1.5.7 Other CSCW Systems . 15 1.6 Course-Authoring Systems . 16 1.6.1 MANIC . 16 1.6.2 Cornell Lecture Browser . 17 1.6.3 AudioGraph . 17 1.7 Presentation and Classroom Enhancement . 18 1.7.1 BIRD Note-taking System . 19 1.7.2 ConferenceXP Presenter/Classroom Presenter . 19 1.8 Lecture Recording . 20 1.8.1 Desktop Grabbing . 20 1.8.2 Just-In-Time Lectures . 22 1.8.3 NoteLook . 22 1.8.4 DEBBIE/DyKnow . 23 1.8.5 Classroom 2000/eClass . 23 1.8.6 AOF . 24 1.8.7 Lecturnity . 25 1.8.8 Tele-TASK/t-Cube . 25 1.9 Conclusion . 26 2 User Interface 27 2.1 Overview . 27 2.2 Usability Considerations . 28 2.3 Installing E-Chalk . 32 2.4 The E-Chalk Server Application . 32 2.4.1 Setup Dialog . 33 v vi CONTENTS 2.4.2 The Board Component . 38 2.5 Remote Access . 43 3 The E-Chalk Application 45 3.1 Main Configuration . 45 3.1.1 Dynamically Loaded Classes . 47 3.1.2 Multiuser Configuration . 47 3.2 Data Model of the Settings . 47 3.3 Connecting Computer Algebra Systems . 48 3.4 Bookmark Files . 50 3.5 Audio Profiles . 51 3.6 Starting a Lecture Recording . 52 3.7 HTML Templates . 54 3.8 Help System . 56 3.9 Localization . 56 3.10 Debugging Tools . 59 3.10.1 E-Chalk Command-Line Console . 59 3.10.2 Message Logging . 64 4 Board Server 65 4.1 Painting on the Board . 65 4.2 Drawing Lines . 66 4.3 Typing Text . 67 4.4 Images and Applets . 67 4.5 Undo, Redo, and Clear All . 68 4.6 Custom GUI elements . 68 4.7 Board Resource Loading . 69 4.7.1 URL Loading . 71 4.7.2 Requests to Computer Algebra Systems . 73 4.7.3 Decoding . 75 4.7.4 Chalklets . 76 4.7.5 Resource Handling . 77 4.8 Stroke Delivery . 77 4.8.1 Chalklet Strokes . 77 4.8.2 Handwriting Recognized Strokes . 79 4.9 Mathematical Handwriting Recognition . 79 4.10 Applet Control . 82 4.10.1 Applet Events . 83 4.11 Event Storage . 85 4.11.1 Encoding . 85 4.11.2 Structure . 87 4.12 Live Server . 91 5 Audio and Video Servers 93 5.1 The WWR Audio Server . 93 5.1.1 Server Architecture . 93 5.1.2 Audio Codecs . 94 5.2 Smart Audio Recording . 95 5.2.1 Sources of Interference . 95 5.2.2 Enhancing Recordings . 96 CONTENTS vii 5.2.3 Setup . 97 5.2.4 During Recording . 99 5.3 The WWV Video Server . 100 5.4 Video and Board Image Combined . 102 6 Tools, Converters, Add-ons 105 6.1 Export to PDF . 105 6.1.1 PDF Structure . 107 6.1.2 Images . 108 6.1.3 Color Conversions . 109 6.2 Export for Replay in Windows Media Player . 110 6.3 Export to QuickTime and AVI Video . 111 6.4 Creating Board Snapshots . 113 6.5 Audio Format Updater . 113 6.6 Repairing Damaged Recordings . 114 6.7 Import of PowerPoint Presentations . 114 6.8 Keywords from Handwriting Recognition . 115 6.9 Macro Recorder . 117 6.10 Automated DB or LMS Storage . 118 6.11 Handwriting Synthesis . 119 6.12 Example Chalklets . 120 6.12.1 EchoChalklet and TicTacToe . 120 6.12.2 Animated Algorithms . 120 6.12.3 Simulation of Neural Networks . 121 6.12.4 Simulation of Logic Circuits . 121 6.12.5 Python Interpreter . 122 6.13 Post-production with Exymen . 123 6.13.1 Plug-in Management . 124 6.13.2 Data Structures . 125 6.13.3 Editable Formats . 125 7 Client Applets 129 7.1 Client Control Panel and Masi Interface . 130 7.2 Board Client . 132 7.2.1 Event Handling . 132 7.2.2.
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