Working Examples. Cognitive Tutor Authoring Tools: Home. How to Name a Course to Encourage Enrollment « Absorb LMS Blog. Google Analytics : 10 outils pour mieux l'utiliser. Daniel que je remercie m’a généreusement proposé d’écrire un article sur SEOmix. Etant Web Analyst et fan d’outils permettant d’accroître sa productivité, je me suis proposé de faire une sélection d’outils Google Analytics : 1- Firebug Firebug est une extension Firefox bien connue des développeurs web.
Elle est très utile en Web Analytics puisqu’elle permet de vérifier en 1 clic le code source d’un élément. Admettons par exemple que je souhaite vérifier le code source du marqueur de clic que Daniel a intégré sur le bouton pour s’abonner à son flux RSS : Activez Firebug pour voir le code source d'un élément Un simple clic droit me permet de consulter le code source de l’événement Google Analytics : Firebug affiche notamment le code source d'Analytics 2- Firecookie Firecookie est une extension pour l’extension Firebug.
Firecookie permet de visionner les cookies d'Analytics 3- Httpfox Httpfox est un debugger qui analyse les interactions entre le site et le serveur : 5- Raven GA Configuration Tool. Flame: Une application pour dessiner avec la lumière « Photos « Geekaison. SCORM. BigBlueButton -- Open Source Web Conferencing | www.bigbluebutton.org. BigBlueButton -- Open Source Web Conferencing | www.bigbluebutton.org. OpenClass. ShowMe - The Online Learning Community. The Ingenious Business Model Behind Coursekit, A Tumblr For Higher Education.
At universities, educational software largely means enterprise-scale, expensive, feature-stuffed "learning management systems. " Blackboard has the majority of the market, but professors and students are about as enthusiastic about its various updates, crashes, and bugs as people are with the latest version of Windows (Blackboard scores a whopping 93% "hated" rating on website Amplicate). Last week, a new alternative was launched--built by students--that looks and works a lot more like the social platforms people actually choose to use in their spare time. The core of the site is a constantly updated social Stream where instructors and students can conduct discussions or easily post rich media. Picture a cleaner-looking Facebook news feed, centered on a single academic theme, or a group Tumblr blog where each picture, question, or video can accumulate its own discussion in the attached comment thread. The second ingenious part of their pitch may also turn out to be a pitfall.
Reed Hastings And John Doerr Put $11M In Adaptive Online Math Learning Platform DreamBox. DreamBox Learning, an adaptive e-learning platform for students, has raised $11 million in new funding led by Netflix CEO Reed Hastings (who is investing through the Charter School Growth Fund), and Kleiner Perkins partner John Doerr (this is a personal investment for Doerr). GSV Capital Corp. and Deborah Quazzo also participated round.
This brings DreamBox’s total funding to $18 million. Launched in 2008, DreamBox Learning offers more than 500 online math lessons, puzzles, games and curriculums for schools and home schools, targeting young students in kindergarten through fifth grade. DreamBox assesses each student’s mathematical understanding on an ongoing basis, providing the most suitable hints and encouragement at the right pace for that child, and offers the next personally appropriate activities as subsequent choices. The company also offers assessment tools for teachers to understand a student’s comprehension and proficiency. How Khan Academy is using Machine Learning to Assess Student Mastery | David Hu.
See discussion on Hacker News and Reddit. The Khan Academy is well known for its extensive library of over 2600 video lessons. It should also be known for its rapidly-growing set of now 225 exercises — outnumbering stitches on a baseball — with close to 2 million problems done each day. To determine when a student has finished a certain exercise, we award proficiency to a user who has answered at least 10 problems in a row correctly — known as a streak. Proficiency manifests itself as a gold star, a green patch on teachers’ dashboards, a requirement for some badges (eg. gain 3 proficiencies), and a bounty of “energy” points.
It turns out that the streak model has serious flaws. First, if we define proficiency as your chance of getting the next problem correct being above a certain threshold, then the streak becomes a poor binary classifier. False positives is not our only problem, but also false negatives. In Search of a Better Model to this: and when full: , we’ll say you’re proficient. . . eFront - User Friendly Learning System with Rich Social and Enterprise Functionality - Home. Open source E-learning platform, Scorm LMS and LCMS. Brainscape: Learn Faster. Sky - Digital Learning Environment meets Content Management System. Share this article! In honor of AI Literacy Day, we wanted to offer a practical way to explore what AI literacy really means for students and for schools. Rather than starting with tools or policies, we started with thinking. The questions below are adapted directly from the learning objectives in our middle school AI literacy lessons, rewritten for an adult audience.
While these exact questions do not appear in the curriculum, the skills and concepts behind them do. They reflect the same kinds of reasoning students develop through structured AI literacy instruction, just framed in language that school and district leaders can engage with. Question: Where does bias appear in an AI system and is it caused by the dataset or the user input? Answer: Bias can come from both. Why this matters: Students need to understand that AI is not neutral. Question: How does adding specific context or tags change the result?
Why this matters: This highlights that AI depends on the user. Answer: No. GeoGebra. Workshop - How to Make Instructables. Faciliter la production d'un groupe de travail en ligne. Recommander cette page à un(e) ami(e) Stimuler et organiser les contributions d'un groupe de travail Si vous avez déjà été membre d'un groupe de travail en ligne, vous savez qu'une petite fraction des membres seulement participe activement, et qu'il est indispensable que le groupe soit animé. Si vous avez déjà été animateur d'un groupe de travail en ligne, vous savez qu'il s'agit d'une tâche difficile, chronophage, et qu'on manque parfois d'idées pour relancer les contributions. Voici un texte qui fournit des pistes d'action très concrètes pour mieux animer un groupe de travail en ligne. Ce texte a été produit pour être utilisé par les membres des différents projets d'Imagination for People, mais il présente une méthode d'animation utile à tous les groupes de travail en ligne.
Trois fonctions-clés d'animation du groupe et de structuration des contributions L'animation du groupe de travail est donc assurée au travers de trois fonctions, personnifiées de la manière suivante :