The aim of this diploma thesis is to create derivative-focused web pages as a new part of a high school mathematics educational web portal. The web portal is operated by the Department of Mathematics Education, Faculty of Mathematics and Physics, Charles University in Prague. It is primarily intended as an additional learning resource for high school students. The diploma thesis consists of two main parts. The first part describes a search for and evaluation of similar web pages in Czech, Slovak, English and Hebrew, which deal with the topic of derivative. The second part details the creation of new web pages. In creating the web pages the author integrated interactive elements based on JavaScript, and interactive applets created with use of GeoGebra software. To display mathematical expressions on the web, the author used the technology MathJax, which works with languages of the typesetting systems TeX and LaTeX.

The purpose of the project was to develop a rubric to assess whether a selected group of college websites, chosen to represent most of what is available to students, meet the requirements necessary for students to make an informed college choice. The project was undertaken as a way to determine if these sites, individually or as a whole, present enough information for students to make a choice that correctly aligns with their college aspirations.

Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2006. / Includes bibliographical references (leaves: 77-86). Also available online.

Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, Cape Town, 2005. / Includes bibliographical references (p. 132-142). Also available online.

Use of the Internet to retrieve health information is increasingly. Young adult search the Internet for health information more than any other group. The authors surveyed 789 undergraduate students at 12 academic institutions to examine their Internet use. This research intended to investigate the usage of web health information through structural questionnaires based on intention sampling from the Taiwanese undergraduates, including those who study after work. The amounts of returned questionnaires are summed up to 789 excluded those unanswered item of gender, age, and departments. This research used SPSS/PC10.0 as the statistic software. There are 520 females ¡]65.9%¡^ and 267 males¡]34.1%¡^ in the study¡FThe youngest one is 19 and the oldest is 55 while the average age is 22.7 years old and the standard error is 4.71.¡FThere are 385 students in health related departments ¡]48.8%¡^ and 404 students are in non-health related ones ¡]51.2%¡^. The main result of research is that almost 90% Taiwanese undergraduates started to use internet and E-mail before high school ¡FMost of them use internet at home ¡]91.8%¡^and the purpose is to search non-varsity work related information ¡]61%¡^. The main channel for these undergraduates to obtain health-related information is through radio station ¡]64.6%¡^while the internet placed the second choice¡]49.4%¡^. As to health information, there are 65.7% undergraduates have used the internet to search health information, there are high correlation between whether or not they use the internet and the students¡¦ age and departments, women has higher utilization rate than men and also non-health department has the same results. Those who ever use internet for health information are much more worried about the accuracy of internet health information than those who never use it. The non-health department students were anxious about using the internet for health information will lead to the ignorance of other ways to search health information. These students browse the internet at least once a month mainly for exercise or body-building information and then diet and nutrition. Women and health-related department perform higher rate on browsing frequency of internet health information than men and non-health related ones. The main reason for the willingness to use the internet as the tool to understand health information of these students is the facility of searching through internet. Compared with none-health related department students, health-related ones are much more willing to choose internet because they can obtain the information anonymously. For those who ever use internet health information, clearly classification of website information which met their need will be the first consideration, they also ask for the writers¡¦ profession at the same time. Therefore, these students conceptually have the ability to evaluate health information on internet. The health related department students will even address their questions or suggestions when they have problems with the information on internet. There are more than 70 percent of students agree that using internet health information have positive influence on them. It is a pity that only 107 students have ever browsed the health department websites of county or city government which are trusted by the public. There are only 63 students know the prompted of excellent mark for health information website by the department of health executive Yuan. However if they got the chance to see the mark of ¡§this website were appraise of excellent health information website by the department of health executive Yuan,¡¨ they will take great value on it and visit with high frequency. Finally, it is suggested that non-health related department should emphasize more on the propaganda of health information to the department with high proportion of male students, and to provide better environment to complement the regardless ness of health information among undergraduates. The government should also emphasize on promote excellent health information website and improve the proportion of access the website of health department in order to bring out better outcomes.

The exponential expanding of the numbers of web sites and Internet users makes WWW the most important global information resource. From information publishing and electronic commerce to entertainment and social networking, the Web allows an inexpensive and efficient access to the services provided by individuals and institutions. The basic units for distributing these services are the web sites scattered throughout the world. However, the extreme fragility of web services and content, the high competence between similar services supplied by different sites, and the wide geographic distributions of the web users drive the urgent requirement from the web managers to track and understand the usage interest of their web customers. This thesis, "X-tracking the Usage Interest on Web Sites", aims to fulfill this requirement. "X" stands two meanings: one is that the usage interest differs from various web sites, and the other is that usage interest is depicted from multi aspects: internal and external, structural and conceptual, objective and subjective. "Tracking" shows that our concentration is on locating and measuring the differences and changes among usage patterns. This thesis presents the methodologies on discovering usage interest on three kinds of web sites: the public information portal site, e-learning site that provides kinds of streaming lectures and social site that supplies the public discussions on IT issues. On different sites, we concentrate on different issues related with mining usage interest. The educational information portal sites were the first implementation scenarios on discovering usage patterns and optimizing the organization of web services. In such cases, the usage patterns are modeled as frequent page sets, navigation paths, navigation structures or graphs. However, a necessary requirement is to rebuild the individual behaviors from usage history. We give a systematic study on how to rebuild individual behaviors. Besides, this thesis shows a new strategy on building content clusters based on pair browsing retrieved from usage logs. The difference between such clusters and the original web structure displays the distance between the destinations from usage side and the expectations from design side. Moreover, we study the problem on tracking the changes of usage patterns in their life cycles. The changes are described from internal side integrating conceptual and structure features, and from external side for the physical features; and described from local side measuring the difference between two time spans, and global side showing the change tendency along the life cycle. A platform, Web-Cares, is developed to discover the usage interest, to measure the difference between usage interest and site expectation and to track the changes of usage patterns. E-learning site provides the teaching materials such as slides, recorded lecture videos and exercise sheets. We focus on discovering the learning interest on streaming lectures, such as real medias, mp4 and flash clips. Compared to the information portal site, the usage on streaming lectures encapsulates the variables such as viewing time and actions during learning processes. The learning interest is discovered in the form of answering 6 questions, which covers finding the relations between pieces of lectures and the preference among different forms of lectures. We prefer on detecting the changes of learning interest on the same course from different semesters. The differences on the content and structure between two courses leverage the changes on the learning interest. We give an algorithm on measuring the difference on learning interest integrated with similarity comparison between courses. A search engine, TASK-Moniminer, is created to help the teacher query the learning interest on their streaming lectures on tele-TASK site. Social site acts as an online community attracting web users to discuss the common topics and share their interesting information. Compared to the public information portal site and e-learning web site, the rich interactions among users and web content bring the wider range of content quality, on the other hand, provide more possibilities to express and model usage interest. We propose a framework on finding and recommending high reputation articles in a social site. We observed that the reputation is classified into global and local categories; the quality of the articles having high reputation is related with the content features. Based on these observations, our framework is implemented firstly by finding the articles having global or local reputation, and secondly clustering articles based on their content relations, and then the articles are selected and recommended from each cluster based on their reputation ranks. / Wegen des exponentiellen Ansteigens der Anzahl an Internet-Nutzern und Websites ist das WWW (World Wide Web) die wichtigste globale Informationsressource geworden. Das Web bietet verschiedene Dienste (z. B. Informationsveröffentlichung, Electronic Commerce, Entertainment oder Social Networking) zum kostengünstigen und effizienten erlaubten Zugriff an, die von Einzelpersonen und Institutionen zur Verfügung gestellt werden. Um solche Dienste anzubieten, werden weltweite, vereinzelte Websites als Basiseinheiten definiert. Aber die extreme Fragilität der Web-Services und -inhalte, die hohe Kompetenz zwischen ähnlichen Diensten für verschiedene Sites bzw. die breite geographische Verteilung der Web-Nutzer treiben einen dringenden Bedarf für Web-Manager und das Verfolgen und Verstehen der Nutzungsinteresse ihrer Web-Kunden. Die Arbeit zielt darauf ab, dass die Anforderung "X-tracking the Usage Interest on Web Sites" erfüllt wird. "X" hat zwei Bedeutungen. Die erste Bedeutung ist, dass das Nutzungsinteresse von verschiedenen Websites sich unterscheidet. Außerdem stellt die zweite Bedeutung dar, dass das Nutzungsinteresse durch verschiedene Aspekte (interne und externe, strukturelle und konzeptionelle) beschrieben wird. Tracking zeigt, dass die Änderungen zwischen Nutzungsmustern festgelegt und gemessen werden. Die Arbeit eine Methodologie dar, um das Nutzungsinteresse gekoppelt an drei Arten von Websites (Public Informationsportal-Website, E-Learning-Website und Social-Website) zu finden. Wir konzentrieren uns auf unterschiedliche Themen im Bezug auf verschieden Sites, die mit Usage-Interest-Mining eng verbunden werden. Education Informationsportal-Website ist das erste Implementierungsscenario für Web-Usage-Mining. Durch das Scenario können Nutzungsmuster gefunden und die Organisation von Web-Services optimiert werden. In solchen Fällen wird das Nutzungsmuster als häufige Pagemenge, Navigation-Wege, -Strukturen oder -Graphen modelliert. Eine notwendige Voraussetzung ist jedoch, dass man individuelle Verhaltensmuster aus dem Verlauf der Nutzung (Usage History) wieder aufbauen muss. Deshalb geben wir in dieser Arbeit eine systematische Studie zum Nachempfinden der individuellen Verhaltensweisen. Außerdem zeigt die Arbeit eine neue Strategie, dass auf Page-Paaren basierten Content-Clustering aus Nutzungssite aufgebaut werden. Der Unterschied zwischen solchen Clustern und der originalen Webstruktur ist der Abstand zwischen Zielen der Nutzungssite und Erwartungen der Designsite. Darüber hinaus erforschen wir Probleme beim Tracking der Änderungen von Nutzungsmustern in ihrem Lebenszyklus. Die Änderungen werden durch mehrere Aspekte beschrieben. Für internen Aspekt werden konzeptionelle Strukturen und Funktionen integriert. Der externe Aspekt beschreibt physische Eigenschaften. Für lokalen Aspekt wird die Differenz zwischen zwei Zeitspannen gemessen. Der globale Aspekt zeigt Tendenzen der Änderung entlang des Lebenszyklus. Eine Plattform "Web-Cares" wird entwickelt, die die Nutzungsinteressen findet, Unterschiede zwischen Nutzungsinteresse und Website messen bzw. die Änderungen von Nutzungsmustern verfolgen kann. E-Learning-Websites bieten Lernmaterialien wie z.B. Folien, erfaßte Video-Vorlesungen und Übungsblätter an. Wir konzentrieren uns auf die Erfoschung des Lerninteresses auf Streaming-Vorlesungen z.B. Real-Media, mp4 und Flash-Clips. Im Vergleich zum Informationsportal Website kapselt die Nutzung auf Streaming-Vorlesungen die Variablen wie Schauzeit und Schautätigkeiten während der Lernprozesse. Das Lerninteresse wird erfasst, wenn wir Antworten zu sechs Fragen gehandelt haben. Diese Fragen umfassen verschiedene Themen, wie Erforschung der Relation zwischen Teilen von Lehrveranstaltungen oder die Präferenz zwischen den verschiedenen Formen der Lehrveranstaltungen. Wir bevorzugen die Aufdeckung der Veränderungen des Lerninteresses anhand der gleichen Kurse aus verschiedenen Semestern. Der Differenz auf den Inhalt und die Struktur zwischen zwei Kurse beeinflusst die Änderungen auf das Lerninteresse. Ein Algorithmus misst die Differenz des Lerninteresses im Bezug auf einen Ähnlichkeitsvergleich zwischen den Kursen. Die Suchmaschine „Task-Moniminer“ wird entwickelt, dass die Lehrkräfte das Lerninteresse für ihre Streaming-Vorlesungen über das Videoportal tele-TASK abrufen können. Social Websites dienen als eine Online-Community, in den teilnehmenden Web-Benutzern die gemeinsamen Themen diskutieren und ihre interessanten Informationen miteinander teilen. Im Vergleich zur Public Informationsportal-Website und E-Learning Website bietet diese Art von Website reichhaltige Interaktionen zwischen Benutzern und Inhalten an, die die breitere Auswahl der inhaltlichen Qualität bringen. Allerdings bietet eine Social-Website mehr Möglichkeiten zur Modellierung des Nutzungsinteresses an. Wir schlagen ein Rahmensystem vor, die hohe Reputation für Artikel in eine Social-Website empfiehlt. Unsere Beobachtungen sind, dass die Reputation in globalen und lokalen Kategorien klassifiziert wird. Außerdem wird die Qualität von Artikeln mit hoher Reputation mit den Content-Funktionen in Zusammenhang stehen. Durch die folgenden Schritte wird das Rahmensystem im Bezug auf die Überwachungen implementiert. Der erste Schritt ist, dass man die Artikel mit globalen oder lokalen Reputation findet. Danach werden Artikel im Bezug auf ihre Content-Relationen in jeder Kategorie gesammelt. Zum Schluß werden die ausgewählten Artikel aus jedem basierend auf ihren Reputation-Ranking Cluster empfohlen.

Thesis (Ph. D.)--University of Washington, 2002. / Vita. Includes bibliographical references (leaves 158-166).

Title from PDF of title page (University of Missouri--Columbia, viewed on Feb 17, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Thesis advisor: Dr. Kevin Wise. Includes bibliographical references.

Thesis (M. Phil.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 75-80).

published_or_final_version / abstract / toc / Psychology / Master / Master of Philosophy