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Learning and Knowledge Analytics - Analyzing what can be connected

Learning and Knowledge Analytics - Analyzing what can be connected
Related:  Learning Analytics

Adam Cooper’s Work Blog » A Seasonal Sociogram for Learning Analytics Research SoLAR, the Society for Learning Analytics Research has recently made available a dataset covering research publications in learning analytics and educational data mining and issued the LAK Data Challenge, challenging the community to use the dataset to answer the question: What do analytics on learning analytics tell us? How can we make sense of this emerging field’s historical roots, current state, and future trends, based on how its members report and debate their research? Thanks to too many repeats on the TV schedule I managed to re-learn a bit of novice-level SPARQL and manipulate the RDF/XML provided into a form I can handle with R. Now, I’ve had a bit of a pop at the sociograms – i.e. visualisations of social networks – in the past but they do have their uses and one of these is getting a feel for the shape of a dataset that deals with relations. And with it being the Christmas season, the colour scheme chose itself. So, what does it tell me? Am I any the wiser? Merry Christmas!

22 outils gratuits pour visualiser et analyser les données (1ère partie) Vous avez des données à explorer ? Voici quelques outils qui pourront vous être utiles pour les transformer en informations et en graphiques attrayants. Pour faire parler des données, rien ne vaut une panoplie d'outils de visualisation graphique. Il en existe de nombreux, notamment destinés aux professionnels versés dans l'analyse statistique. Computerworld souligne que la correction des textes se fait simplement. DataWrangler (cliquer ici pour agrandir l'image) Niveau de compétences requis : débutant avancé.Fonctionne sur tout navigateur web.En savoir plus : - Google Refine : comme un tableurIl ressemble à un tableur pour examiner à la fois les données numériques et alphanumériques, mais à l'inverse du tableur, il ne permet pas d'effectuer des calculs. Refine intègre plusieurs algorithmes retrouvant les mots orthographiés différemment mais qui devraient en fait être regroupés. Google Refine (cliquer ici pour agrandir l'image)

Learning Analytics: The New Black Melanie Booth is Dean, Learning & Assessment, at Marylhurst University. Learning analytics is the "measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs," according to the 1st International Conference on Learning Analytics and Knowledge.1 The NMC Horizon Report: 2012 Higher Education Edition notes that this promising set of practices and tools aims to "harness the power of advances in data mining, interpretation, and modeling to improve understandings of teaching and learning, and to tailor education to individual students more effectively."2 Finally, George Siemens and Phil Long have even proposed that learning analytics should ultimately be focused on disruption and transformation in education, changing the very nature of teaching, learning, and assessment as we know it.3 Where We've Been Where We're Going Assessment [Learning Analytics] has most effect when:

Etherpad Predictive Analytics Best Practices In recent years, some users have harbored concerns about clouds in general, as well as their use in data warehousing. As the number of user organizations practicing elastic data warehousing on clouds has increased, the track record of success has helped other users get past perceptual barriers and other myths concerning security, multi-tenancy, and interfacing with clouds. We all know that data warehouses and users’ best practices for them are changing dramatically today. As users build new data warehouses and modernize established ones, they are turning to cloud-based elastic data warehousing, because the automation of elasticity yields agility, ease of use, scalability, and performance, while reducing maintenance, tuning, capital investments, and other costs. This webinar will: - Demystify elastic data warehousing by debunking myths about it - Define elastic data warehousing and its goals in terms that data management professionals and business users can relate to

Analytics4Action Evaluation Framework: A Review of Evidence-Based Learning Analytics Interventions at the Open University UK Introduction Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative. According to Tempelaar, Rienties, and Giesbers (2015, p. 158) “a broad goal of learning analytics is to apply the outcomes of analysing data gathered by monitoring and measuring the learning process”. Learning analytics applications in education are expected to provide institutions with opportunities to support learner progression, but more importantly in the near future provide personalised, rich learning on a large scale (Rienties, Cross, & Zdrahal, 2016; Tempelaar et al., 2015; Tobarra, Robles-Gómez, Ros, Hernández, & Caminero, 2014). Substantial progress in learning analytics research relating to identifying at-risk students has been made in the last few years. The power of learning analytics Learning analytics studies at the OU Analytics4Action Evaluation Framework Original | PPT

ביג דאטה: כיצד אפשר להשתלט ולהשתמש בכל המידע שנמצא באינטרנט 18 בספטמבר 2013. מפרץ סן פרנסיסקו. השעון הראה שתיים ורבע בצהריים ושאגות השמחה של הצוות הניו זילנדי, על יאכטת הקטמרן במימי המפרץ, נשמעו עד החוף. הניו זילנדים גברו זה עתה על הצוות האמריקאי ((Oracle Team USA בשיוט נוסף כחלק מהתחרות America's Cup, מהתחרויות הוותיקות בהיסטוריה של הספורט בכלל, וכנראה היוקרתית ביותר בשיט היאכטות. לוח התוצאות הראה 8-1, תבוסה חסרת פשרות של האמריקאים לניו זילנדים, מלכי הים. לניו זילנדים חסַר עוד ניצחון אחד לזכייה בתחרות כולה. אז איך באמת קרה מהפך כזה? היאכטב מדגם AC72 של אורקל במהלך התחרותצילום: ACE/Photo Gilles Martin – Raget סיפור זה ממחיש בצורה הטובה ביותר את השימוש ב"ביג דאטה" (Big Data): שימוש בכמות עצומה של מידע, איסופו ממקורות שונים, בפורמטים שונים ובאיכויות שונות, אחסונו, עיבודו, מציאת קשרים, תבניות והסקת תובנות מתוכו, ולבסוף, שימוש בתובנות אלו בצורה אופרטיבית, או במקרה הזה, שליטה אוטומטית בהיגוי היאכטה. אז איך בכל זאת, עם כל הטכנולוגיה הזאת, פיגר הצוות האמריקאי בתחילת התחרות והיה רחוק כדי יום אחד בלבד מתבוסה? מה זה ביג דאטה? מרכיבי הביג דאטה פרסום בזמן אמת

LOCO-Analyst LOCO-Analyst is an educational tool aimed at providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning environment, and thus helps them improve the content and the structure of their web-based courses. LOCO-Analyst aims at providing teachers with feedback regarding: • all kinds of activities their students performed and/or took part in during the learning process, • the usage and the comprehensibility of the learning content they had prepared and deployed in the LCMS, • contextualized social interactions among students (i.e., social networking) in the virtual learning environment. This Web site provides some basic information about LOCO-Analyst, its functionalities and implementation.