Digital Frontiers 2014: Developing Library Services for Digital Humanities & ...librarianrafia
Developing Library Services for Digital Humanities & E-Science Support Using Qualitative Research
E-Science Institute Interviews: A brief summary of the findings and overview of SWOT
This presentation proposes that Social Learning Analytics (SLA) can be usefully thought of as a subset of learning analytics approaches. SLA focuses on how learners build knowledge together in their cultural and social settings. In the context of online social learning, it takes into account both formal and informal educational environments, including networks and communities. The paper introduces the broad rationale for SLA by reviewing some of the key drivers that make social learning so important today. Five forms of SLA are identified, including those which are inherently social, and others which have social dimensions. The paper goes on to describe early work towards implementing these analytics on SocialLearn, an online learning space in use at the UK’s Open University, and the challenges that this is raising. This work takes an iterative approach to analytics, encouraging learners to respond to and help to shape not only the analytics but also their associated recommendations
Building Your Professional Career with NetworkingGreg Hardin
Part of a TxLA13 panel discussion with:
Terri L Gibbs — Denton Public Library Emily Fowler Central Library
Greg G Hardin — Texas Woman's University
Janelle Hedstrom — University of Texas-Austin
Valerie J Hill — Lewisville ISD Ethridge Elementary School
Developing a multiple-document-processing performance assessment for epistem...Simon Knight
http://oro.open.ac.uk/41711/
The LAK15 theme “shifts the focus from data to impact”, noting the potential for Learning Analytics based on existing technologies to have scalable impact on learning for people of all ages. For such demand and potential in scalability to be met the challenges of addressing higher-order thinking skills should be addressed. This paper discuses one such approach – the creation of an analytic and task model to probe epistemic cognition in complex literacy tasks. The research uses existing technologies in novel ways to build a conceptually grounded model of trace-indicators for epistemic-commitments in information seeking behaviors. We argue that such an evidence centered approach is fundamental to realizing the potential of analytics, which should maintain a strong association with learning theory.
Everywhere you Look... Embedded Librarians! Greg Hardin
Part of panel discussion
CPE#257: SBEC 1.5; TSLAC 1.5
Everywhere You Look...
Embedded Librarians!
12:00 - 1:20 pm
Everyone benefits when reference staff reach
out to customers beyond the library. This
program explores innovative ways to make
contact with library audiences in unexpected
places and showcases the collateral rewards of
those efforts.
Jenniffer Hudson Connors, Stark Foundation Library
& Archive; Greg Hardin, University of North Texas;
My’Tesha Tates, Houston Public Library; Melanie
Wachsmann, Cy-Fair Library, Harris County Public
Library- Lone Star College; Susan Whitmer, Texas
Woman’s University; and Lisa Youngblood, Harker
Heights Public Library.
RISRT, CULD, & PLD
RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of “Panel 4, Measuring Up: How Are We Defining Success for Research Data Services?”
Presenter:
Ryan Clement, Middlebury College
Digital Frontiers 2014: Developing Library Services for Digital Humanities & ...librarianrafia
Developing Library Services for Digital Humanities & E-Science Support Using Qualitative Research
E-Science Institute Interviews: A brief summary of the findings and overview of SWOT
This presentation proposes that Social Learning Analytics (SLA) can be usefully thought of as a subset of learning analytics approaches. SLA focuses on how learners build knowledge together in their cultural and social settings. In the context of online social learning, it takes into account both formal and informal educational environments, including networks and communities. The paper introduces the broad rationale for SLA by reviewing some of the key drivers that make social learning so important today. Five forms of SLA are identified, including those which are inherently social, and others which have social dimensions. The paper goes on to describe early work towards implementing these analytics on SocialLearn, an online learning space in use at the UK’s Open University, and the challenges that this is raising. This work takes an iterative approach to analytics, encouraging learners to respond to and help to shape not only the analytics but also their associated recommendations
Building Your Professional Career with NetworkingGreg Hardin
Part of a TxLA13 panel discussion with:
Terri L Gibbs — Denton Public Library Emily Fowler Central Library
Greg G Hardin — Texas Woman's University
Janelle Hedstrom — University of Texas-Austin
Valerie J Hill — Lewisville ISD Ethridge Elementary School
Developing a multiple-document-processing performance assessment for epistem...Simon Knight
http://oro.open.ac.uk/41711/
The LAK15 theme “shifts the focus from data to impact”, noting the potential for Learning Analytics based on existing technologies to have scalable impact on learning for people of all ages. For such demand and potential in scalability to be met the challenges of addressing higher-order thinking skills should be addressed. This paper discuses one such approach – the creation of an analytic and task model to probe epistemic cognition in complex literacy tasks. The research uses existing technologies in novel ways to build a conceptually grounded model of trace-indicators for epistemic-commitments in information seeking behaviors. We argue that such an evidence centered approach is fundamental to realizing the potential of analytics, which should maintain a strong association with learning theory.
Everywhere you Look... Embedded Librarians! Greg Hardin
Part of panel discussion
CPE#257: SBEC 1.5; TSLAC 1.5
Everywhere You Look...
Embedded Librarians!
12:00 - 1:20 pm
Everyone benefits when reference staff reach
out to customers beyond the library. This
program explores innovative ways to make
contact with library audiences in unexpected
places and showcases the collateral rewards of
those efforts.
Jenniffer Hudson Connors, Stark Foundation Library
& Archive; Greg Hardin, University of North Texas;
My’Tesha Tates, Houston Public Library; Melanie
Wachsmann, Cy-Fair Library, Harris County Public
Library- Lone Star College; Susan Whitmer, Texas
Woman’s University; and Lisa Youngblood, Harker
Heights Public Library.
RISRT, CULD, & PLD
RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of “Panel 4, Measuring Up: How Are We Defining Success for Research Data Services?”
Presenter:
Ryan Clement, Middlebury College
This presentation was jointly given by Kevin Read and Alisa Surkis of New York University during the two-part NISO webinar, Digital and Data Literacy, held on September 20, 2017.
RDAP 16: Building the Research Data Community of PracticeASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Presenters:
Sherry Lake, University of Virginia
Brianna Marshall, University of Wisconsin-Madison
Regina Raboin, University of Massachusetts Medical School
Andrew Johnson, University of Colorado
Brian Westra, University of Oregon
Panel lead:
Cynthia Hudson-Vitale, Washington University in St. Louis
This presentation was provided by Katy Kavanagh Webb of East Carolina University during the first portion of the NISO two-part webinar, Digital and Data Literacy, held on September 13, 2017
The presentation was provided by Angie Oehrli of the University of Michigan during the NISO Two-Part Webinar, Digital and Data Literacy, held on September 20, 2017
Greg Grossmeier, Education Technology and Policy Coordinator for Creative Commons and Co-Chair of the Learning Resource Metadata Initiative (LRMI) technical working group, presented a background and update on the project to create a common metadata specification for online learning resources. Grossmeier presented at the Content in Context Metadata Lab, presented by the Association of Educational Publishers (AEP) on June 4, 2012.
Your digital humanities are in my library! No, your library is in my digital ...Rebekah Cummings
A presentation on the intersection of libraries and digital humanities presented at the Utah Digital Humanities Symposium at Utah Valley University on February 26, 2016.
This presentation was prepared for EdMedia2013 to present a paper: Online peer assisted learning using a synchronous multi-client collaborative software platform by Olivia Billingham and Makis Mallaris
Flexible Frames for Pedagogical Practice: Using the Framework for Information...Donna Witek
Link to slides + speaking notes: http://www.donnawitek.com/2015/05/flexible-frames-for-pedagogical.html
Lehigh Valley Chapter of the Pennsylvania Library Associations's 2015 Spring Conference, May 28, 2015, Allentown, PA
Abstract: The Framework for Information Literacy for Higher Education represents a shift in our collective approach to instruction by inviting practitioners to deeply engage the complex concepts that underpin the abilities and dispositions that develop learners’ information literacy. This presentation will map this shift by highlighting concrete approaches for and offering examples of using the Framework in instructional practice.
RDAP 16: Building Without a Plan: How do you assess structural strength? (Pan...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 4, "Measuring Up: How Are We Defining Success for Research Data Services?"
Presenter:
Yasmeen Shorish, James Madison University
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
How can universities scale up learning analytics beyond small-scale pilots to seriously use data to improve student learning? This interactive workshop was designed to help you think this through for your institution.
Universities are hard to change. Having good data and analytics is a good start, but is only one part of success. This session will provide tools and frameworks to help you analyse what else is needed, building on experiences of successful large-scale learning analytics activity at the Open University and the University of Technology, Sydney, and from the pan-European Learning Analytics Community Exchange project.
Slides for a talk at Bett, London, 20 January 2016.
This presentation was jointly given by Kevin Read and Alisa Surkis of New York University during the two-part NISO webinar, Digital and Data Literacy, held on September 20, 2017.
RDAP 16: Building the Research Data Community of PracticeASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Presenters:
Sherry Lake, University of Virginia
Brianna Marshall, University of Wisconsin-Madison
Regina Raboin, University of Massachusetts Medical School
Andrew Johnson, University of Colorado
Brian Westra, University of Oregon
Panel lead:
Cynthia Hudson-Vitale, Washington University in St. Louis
This presentation was provided by Katy Kavanagh Webb of East Carolina University during the first portion of the NISO two-part webinar, Digital and Data Literacy, held on September 13, 2017
The presentation was provided by Angie Oehrli of the University of Michigan during the NISO Two-Part Webinar, Digital and Data Literacy, held on September 20, 2017
Greg Grossmeier, Education Technology and Policy Coordinator for Creative Commons and Co-Chair of the Learning Resource Metadata Initiative (LRMI) technical working group, presented a background and update on the project to create a common metadata specification for online learning resources. Grossmeier presented at the Content in Context Metadata Lab, presented by the Association of Educational Publishers (AEP) on June 4, 2012.
Your digital humanities are in my library! No, your library is in my digital ...Rebekah Cummings
A presentation on the intersection of libraries and digital humanities presented at the Utah Digital Humanities Symposium at Utah Valley University on February 26, 2016.
This presentation was prepared for EdMedia2013 to present a paper: Online peer assisted learning using a synchronous multi-client collaborative software platform by Olivia Billingham and Makis Mallaris
Flexible Frames for Pedagogical Practice: Using the Framework for Information...Donna Witek
Link to slides + speaking notes: http://www.donnawitek.com/2015/05/flexible-frames-for-pedagogical.html
Lehigh Valley Chapter of the Pennsylvania Library Associations's 2015 Spring Conference, May 28, 2015, Allentown, PA
Abstract: The Framework for Information Literacy for Higher Education represents a shift in our collective approach to instruction by inviting practitioners to deeply engage the complex concepts that underpin the abilities and dispositions that develop learners’ information literacy. This presentation will map this shift by highlighting concrete approaches for and offering examples of using the Framework in instructional practice.
RDAP 16: Building Without a Plan: How do you assess structural strength? (Pan...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 4, "Measuring Up: How Are We Defining Success for Research Data Services?"
Presenter:
Yasmeen Shorish, James Madison University
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
How can universities scale up learning analytics beyond small-scale pilots to seriously use data to improve student learning? This interactive workshop was designed to help you think this through for your institution.
Universities are hard to change. Having good data and analytics is a good start, but is only one part of success. This session will provide tools and frameworks to help you analyse what else is needed, building on experiences of successful large-scale learning analytics activity at the Open University and the University of Technology, Sydney, and from the pan-European Learning Analytics Community Exchange project.
Slides for a talk at Bett, London, 20 January 2016.
LAEP Visions of the Future of Learning AnalyticsDoug Clow
Presentation on the LACE project's Visions of the Future of Learning Analytics work from the LAEP project's expert workshop in Amsterdam, 15-16 March 2016.
Visions of the Future of Learning AnalyticsDoug Clow
Eight visions of the future of learning analytics, created as a way of exploring possible futures by the LACE (Learning Analytics Community Exchange) Project, and presented at Bett 2016, London, 20 January 2016
Moving through MOOCs: Pedagogy, Learning and Patterns of Engagement.
Presentation at EC-TEL 2015, September, 2015, Toledo, Spain.
[This is the shorter, more visual version. The detailed version is available at http://www.slideshare.net/R3beccaF/moving-through-moocs-pedagogy-learning-and-patterns-of-engagement.]
Massive open online courses (MOOCs) are part of the lifelong learning experience of people worldwide. Many of these learners participate fully. However, the high levels of dropout on most of these courses are a cause for concern. Previous studies have suggested that there are patterns of engagement within MOOCs that vary according to the pedagogy employed. The current paper builds on this work and examines MOOCs from different providers that have been offered on the FutureLearn platform. A cluster analysis of these MOOCs shows that engagement patterns are related to pedagogy and course duration. Learners did not work through a three-week MOOC in the same ways that learners work through the first three weeks of an eight-week MOOC.
Slides from Keynote presentation at the University of Southern California's 2015 Teaching with Technology annual conference.
"9:15 am – ANN Auditorium
Key Note: What Do We Mean by Learning Analytics?
Leah Macfadyen, Director for Evaluation and Learning Analytics, University of British Columbia
Executive Board, SoLAR (Society for Learning Analytics Research)
Leah Macfadyen will define and explore the emerging and interdisciplinary field of learning analytics in the context of quantified and personalized learning. Leah will use actual examples and case studies to illustrate the range of stakeholders learning analytics may serve, the diverse array of questions they may be used to address, and the potential impact of learning analytics in higher education."
UCISA Learning Anaytics Pre-Conference WorkshopMike Moore
UCISA Learning Analytics Pre-Conference Workshop
Mike Moore - Sr. Advisory Consultant - Analytics
Desire2Learn, Inc.
UCISA Conference 2014, Brighton, UK
Presented Mar 26, 2014
Advances in Learning Analytics and Educational Data Mining MehrnooshV
This presentation is about the state-of-the-art of Learning Analytics and Edicational Data Mining. It is presented by Mehrnoosh Vahdat as the introductory tutorial of Special Session 'Advances in Learning Analytics and Educational Data Mining' at ESANN 2015 conference.
Carmen O'Dell and Barbara Sen JIBS-RLUK event July 2012sherif user group
RDM Rose by Carmen O'Dell and Barbara Sen, (University of Sheffield). Presentation at Demystifying Research Data: don’t be scared be prepared: A joint JIBS/RLUK event, Tuesday 17th July 17th July 2012, Brunei Gallery at SOAS (School of Oriental and African Studies), London.
Learning Analytics -Towards a New Discipline-Dragan Gasevic
The talk, motivated by the present state of learning and education, identifies a need for a systematic change of the present preactice. Learning analytics is identified as a possible way to good to address this open challenge. Some connections with evidence-based medicine are drawn. Finally, learning analytics is defined as well as some open research challenges.
Learner Analytics and the “Big Data” Promise for Course & Program AssessmentJohn Whitmer, Ed.D.
Presentation delivered at the San Diego State University "One Day in May" conference on May 22, 201 by John Whitmer, Hillary Kaplowitz, and Thomas J. Norman
Universities archive massive amounts of data about students and their activities. Students also generate significant amounts of “digital exhaust” as they use academic technologies. How can faculty and administrators use automated analysis of this data to save time and conduct targeted interventions to improve student learning?
The emerging discipline of Learner Analytics conducts analysis of this data to learn about student behaviors, predict students at-risk of failure, and identify potential interventions to help those students. In this presentation, we will discuss the contours of this discipline and review the state of research conducted to date. We will then look at several examples of Learner Analytics services and hear from California State University educators who are using these tools to help their students. Finally, we will suggest some immediate ways that Analytics can be conducted at San Diego State.
Presenters:
John Whitmer, California State University, Chico
Hillary Kaplowitz, California State University, Northridge
Thomas J. Norman, CSU Dominguez Hills
What Actually Is Artificial Intelligence?Doug Clow
Talk for MK Geek Night, 23 Sep 2021
AI means more hype, more technology, more future - and more money! But what actually is it? In this talk, Doug will explain what people mean by artificial intelligence and machine learning, what sort of problems they can solve, and how they do it. We'll see a range of examples where they're being used, and look at how it goes well and how it goes wrong, from entertaining AI weirdness to serious algorithmic bias. You won't end up being able to implement techniques like Support Vector Machines or Generative Adversarial Networks (unless you already could) but you should end up with a better idea of what the people who can are up to.
How to get to Runter End: Generating English placenames with a neural networkDoug Clow
These are slides for a talk at MK Geek Night, Thu 7 March 2019. Doug trained a neural network on the official database of placenames in England, then got it to generate its own suggestions. Some were convincing, some were funny, and some even turned out to be real places. Doug will give a bit of an explanation of how he did it, and show some of the best results.
A partial history of Educational Technology at the Open UniversityDoug Clow
This is a talk given at the OU's Computers and Learning Research Group, on 17 Jan 2019. In it I give a very partial history of educational technology at the Open University, since its founding in 1969 to the present day. It’ll be partial in multiple senses. A full history would take far longer than a single session. If I gave a comprehensively synoptic account, it’d be too broad-brush to be interesting. So I’ll be selecting elements to focus on, and I’ll be unashamedly partial in picking the ones that appeal particularly to me. We’ve always been pioneers in using technology to help our students learn. What that means has changed profoundly in some ways, and is much the same in others. As Santayana said, “Those who cannot remember the past are condemned to repeat it.” Come along to hear the digital equivalent of “I remember when all this was fields”!
Where is the evidence? A call to action for learning analyticsDoug Clow
Keynote presentation at LASI-Rocky Mountains online conference, 12 June 2017, based on a similar talk at LAK17, Learning Analytics and Knowledge Conference 2017, Vancouver. An analysis of the nature of evidence, the state of the evidence in the field of learning analytics, and some suggestions for ways to improve, based on work from the LACE project's Evidence Hub.
Trains and Balloons: An Introduction to Learning AnalyticsDoug Clow
Slides for a talk given at the Institute of Physics Higher Education Group meeting on Concept Inventories and Learning Analytics, Tue 4 April 2017, Open University, UK
A Whistestop Tour of Theories for TEL ResearchDoug Clow
Presentation to postgraduate students at the Institute of Educational Technology, The Open University, UK, 28 Feb 2017. A very brief overview of some of the theories that are often referenced in TEL research.
Creating an action plan for learning analyticsDoug Clow
Slides for a talk at Bett 2015, London, on Friday 23 January at Excel.
Learning analytics has great potential. By using data more effectively, we can understand and improve learning and the learning environment. Trail-blazing projects, exciting demonstrations and earnest strategy papers set out a compelling vision for data in HE.
That vision can sometimes seem far from institutional reality. How can we get some of those benefits for our learners?
This interactive workshop will help participants assess their institution’s current capability for making use of learning analytics, and help them plan for action. The facilitators will draw on a wide range of practical experience, including from the pan-European Learning Analytics Community Exchange project.
Learning Analytics: Making learning better?Doug Clow
Learning Analytics: Making learning better?
Slides for a talk at Bett 2015, London, Fri 23 January, as part of the LACE project (www.laceproject.eu)
This panel discussion starts with a short introduction to learning analytics and educational data mining, highlighting how European schools are using different types of data to help support, manage and predict learning outcomes. It includes viewpoints from national school networks in the Nordic countries and the Netherlands, a research input from the European Commission supported LACE project highlighting research on the use of learning analytics and an expert input on ethical and privacy issues in the application of learning analytics. Participants will be encouraged to share their views and where interested to join the growing LACE Community
Learning Analytics Examples from the UK, Australia and North AmericaDoug Clow
Examples of Learning Analytics from the UK, Australia and North America, aimed at schools level. Slides from a talk at a pre-conference seminar on learning analytics at the EMINENT conference, European Schoolnet, Pädagogishe Hochschule Zürich, 12 November 2014.
What is Learning Analytics? Slides from a talk at a pre-conference seminar on learning analytics at the EMINENT conference, European Schoolnet, Pädagogishe Hochschule Zürich, 12 November 2014.
Learning Analytics: A General Introduction and Perspectives from the UKDoug Clow
A presentation at a seminar on learning analytics for schools held at Skolverket, the Swedish National Agency for Schools, in Stockholm, Sweden, in collaboration with the Norwegian Centre for ICT in Education, on 9 October 2014. Part of the LACE project #laceproject www.laceproject.eu
http://lanyrd.com/2014/seminar-on-learning-analytics-for-schools-in-sto-2/
International trends in learning analytics (SAHELA conference)Doug Clow
Slides for a keynote presentation on international trends in learning analytics, given by Doug Clow (online) at the SAHELA (South Africa Higher Education Learning Analytics) conference, 15 Sep 2014.
LACE: Learning Analytics Community Exchange (for LASI 2014)Doug Clow
Presentation about the LACE project (Learning Analytics Community Exchange) at LASI2014, the Learning Analytics Summer Institute held at Harvard, on 30 June 2014.
Social media for academic purposes (MCT ST event)Doug Clow
Slides from a talk on social media for academic purposes, held at an Open University event for MCT staff tutors on 25 June 2014 at Walton Hall, Milton Keynes.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Learning Analytics - An Overview of a Research Community
1. Learning Analytics
Presentation to IET SSST
Doug Clow, 12 November 2012
This work by Doug Clow is licensed under a Creative Commons Attribution 3.0 Unported License.
2. What is learning analytics?
• 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
– First International Conference on Learning Analytics And Knowledge (LAK11), Banff, Alberta,
Feb 27-Mar 1 2011 .
3. • Learning analytics
• Learner analytics
• Academic analytics
• Business Intelligence
• Educational Data Mining
• Web analytics
• Social network analysis
• Predictive modeling
• Latent semantic analysis
• … and more!
(cc) gareth1953 http://www.flickr.com/photos/gareth1953/5477477947/
4. • An abundance of data
• Qualitative and quantitative
• To improve learning
5. • Predictive modeling, datamining (Blackboard)
• Fit students in to one of three risk groups
=> traffic light
• Trigger for intervention emails
• Consistent grade performance improvement
8. SNAPP
• Social Networks Adapting Pedagogic Practice
• Network visualisations of forum activity data from VLE
• See patterns
• Spot central and
disconnected
• Identify at-risk
• Improve teaching
Data mining, academic analytics, learner analytics – focus here is on the learning, not the management and administration of learning International profile
Predict students at risk of non-completion OU data, mainly VLE Clickstream predictive – if your usage drops (absolute level not so good) Not submitting a TMA is predictive, low mark too Easier to predict non-completion earlier than later (not submitting the first TMA is a worse sign than not submitting the last)
Builds on Neil Mercer, content analysis
Speed and length of cycles: instant feedback as you learn, through to govt policy