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Tony Searl

Singapore Picks a Winner in Analytics - Tom Davenport - Harvard Business Review - 0 views

blogs.hbr.org/...pore_picks_a_winner_in_an.html

singapore analytics lak12 lak11 data bigdata

shared by Tony Searl on 26 Jul 11 - No Cached
  • Tony Searl on 26 Jul 11
     
    Singapore's government has also provided substantial support for the Living Analytics Research Centre. The Centre, a research partnership between Carnegie Mellon and Singapore Management University, "seeks to make Singapore one of the world's premier locations for the development and applied use of real-time consumer and social analytics, as well as one of the world's leading centres for computational social science related R&D and education."
hansdezwart

http://www.ifets.info/journals/11_3/16.pdf - 0 views

www.ifets.info/...16.pdf

social networks lak11 week4

shared by hansdezwart on 31 Jan 11 - No Cached
  • hansdezwart on 31 Jan 11
     
    As the integration of community-centred teaching practices intensifies, an understanding of the types of relationships that manifest in this network and the associated impact on student learning is required. This paper explores the relationship between a student's position in a classroom social network and their reported level of sense of community. Quantitative methods, such as Rovai's (2002b) Classroom Community Scale and social network centrality measures, were incorporated to evaluate an individual's level of sense of community and their position within the classroom social network. Qualitative methods such as discussion forum content analysis and student interviews were adopted to clarify and further inform this relationship. The results demonstrate that the centrality measures of  closeness and  degrees are positive predictors of an individual's reported sense of community whereas,  betweenness indicates a negative correlation. Qualitative analyses indicate that an individual's pre-existing external social network influences the type of support and information exchanges an individual requires and therefore, the degree of sense of community ultimately experienced. The paper concludes by discussing future recommendations for teaching practices incorporating computer-mediated communications. 
Tony Searl

Living Analytics Research Centre - 2 views

www.larc.smu.edu.sg/index.htm

living analytics research centre lak12 data learning

shared by Tony Searl on 26 Jul 11 - No Cached
  • Tony Searl on 26 Jul 11
     
    conduct research on behavioural and social network analytics and behavioural experiments so as to discover and harness the laws of information network evolution for networks of people, organisations
hansdezwart

Reflections on Open Courses: Curation, Ombuds, and Concierges | Learning and Knowledge ... - 2 views

www.learninganalytics.net/?p=89

siemens reflection analytics learning lak11 algorithms google

shared by hansdezwart on 13 Jan 11 - No Cached
  • we’re going to experiment with running the course without an LMS and using only gRSShopper for interaction
    • Tony Searl
      Tony Searl on 13 Jan 11
       
      excellent idea
  • Curation is an important component in the process.
  • Curation is important – yes, it’s biased, yes it misses contributions, but it’s personal
  • ...9 more annotations...
  • I think we need to also focus on the human aspect of data, sensemaking, curation, and trust.
    • Media Lab
      Media Lab on 13 Jan 11
       
      Comentar a Romi
    • Media Lab
      Media Lab on 13 Jan 11
       
      programa que soluciones esto?
  • la falta de archivos y la integración de las conversaciones en otros espacios en el correo electrónico diario. Hay dos razones principales para ello: Queremos demostrar que si alguien quiere ofrecer un curso en línea abierta, que no es necesario para ejecutar su propio servidor o escribir su propio software. Nosotros no pedimos Stephen si podría funcionar este curso en su sitio
  • Lo que perder - y todavía estoy inquieto acerca de esta compensación - es el archivo integrada de la actividad en el curso. Puedo enviar un correo electrónico diario al grupo de Google. Yo enlaces agregados / deliciosa / diigo / enlaces Twitter y comentarios sobre mi página de Netvibes . El problema, sin embargo, es que Netvibes es más bien tonto. Simplemente deja el contenido de la página hasta que algo nuevo ha sido publicado. Si usted es el seguimiento de la actividad en Netvibes, es probable que gran parte del encuentro el mismo contenido hasta que se ha actualizado con nuevo contenido. La actividad no se archivan por fecha.
  • Para CCK11 (a partir del lunes), vamos a experimentar con la realización del curso sin un LMS y el uso de gRSShopper sólo para la interacción. En LAK11, una de las adiciones clave parece ser el papel de "Defensor curso" que Dave Cormier está cumpliendo.
  • Tony Searl está empezando a desempeñar un papel similar al agregar los blogs del curso y contenido en función de sus intereses.
  • Curación es un componente importante en el proceso.
  • Si bien la información está creciendo en la abundancia y las herramientas y algoritmos (minería de datos, visualización) se están desarrollando como soluciones, no podemos pasar por alto la importancia de la señalización y la construcción de sentido en los sistemas sociales
  • Tony Searl on 13 Jan 11
     
    Social and technological networks don't have a centre. When we learn in a classroom or in a learning management system (LMS), a central place exists where we can go for readings and
Vanessa Vaile

LAK11: Big Data Small Data « Viplav Baxi's Meanderings - 0 views

learnos.wordpress.com/...lak11-big-data-small-data

data lak11 analytics week2 tools connectivism #lak11 #evomlit education

shared by Vanessa Vaile on 23 Jan 11 - No Cached
  • which data is more appropriate - BIG or small
  • most discussion about big data centres on quantity
  • other elements you mention – implication, new models, new decision making approaches – all flow from this abundance of data.
  • ...15 more annotations...
  • Increased data quantity requires new approaches
  • Is small beautiful? Look at the following links. Big Data, Small Data New Age of Innovation (Prahalad) So you like Big Data
  • reading on Insurers and the work done by Levitt and Dubner on Freakonomics tells us clearly that data not earlier thought relevant or causal can be an efficient predictor.
  • Secondly, strategies designed on BIG data
  • may overpower small data strategies
  • Thirdly, BIG data also has BIG impacting factors.
  • Fourthly, actions taken on BIG data will have big consequences,
  • Lastly, if everybody, big or small, started using BIG analytics, to make decisions
  • companies would anyway lose the competitive differentiator that analytics brings to them.
  • Corresponding to the question, how big does BIG need to be, the question I have is - how small really is small.
  • defining patterns that emerge from very small pieces of data (e.g. synchronicity)
  • how tools for SNA and analysis of BIG data can apply to Learning and Knowledge Analytics
  • at the other end it embraces how small changes can cause long term variations
  • not easy to analyze the small data
  • data that is small enough not to be generalizable
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