The document discusses open learning analytics and the case for openness. It summarizes key points from a presentation including:
- Learning analytics can help identify at-risk students and improve courses, but also raises issues regarding privacy, bias, and transparency.
- Open source approaches to learning analytics aim to address these issues through open data standards, algorithms, and governance structures.
- Early examples from the UK and France explore open learning analytics to provide transparency and safeguards around predictive modeling.
- Ensuring understanding of predictive models, managing consent appropriately, and exploring techniques like counterfactual explanations can help address transparency concerns with learning analytics.
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
Implementing Open Access: Effective Management of Your Research DataMartin Hamilton
This document discusses research data management and support available from Jisc and the Digital Curation Centre (DCC). It provides background on policy drivers for research data management, outlines support offered by the DCC including capability studies, data management planning tools, and training. It also summarizes results from a 2014 survey of UK higher education institutions which found most progress in policy development and plans, but challenges around staffing, funding, and engagement of researchers. The document concludes with feedback on future priorities such as compelling services, engaging researchers, and shared infrastructure solutions.
The document discusses open education data and outlines the Pearson Think Tank's work in this area. It defines open education data and notes its increasing use for accountability purposes. However, awareness and strategy around using this data for innovation and efficiency is still low. The Think Tank plans to further explore key questions on open data, barriers to its use, and next steps including an event, research, and hack day to engage stakeholders and develop applications.
This slideset introduces the LAK Dataset and Challenge, held at the Learning Analytics & Knowledge (LAK) conference in Leuven, Belgium, April 2013. Further information about the dataset and submissions is available at http://ceur-ws.org/Vol-974/ as well as http://www.solaresearch.org/events/lak/lak-data-challenge/.
Presentation given at the Consorcio Madrono conference on Data Management Plans in Horizon 2020 http://www.consorciomadrono.es/info/web/blogs/formacion/217.php
Guest presentation: SASUF Symposium: Digital Technologies, Big Data, and Cybersecurity, Vaal University of Technology, Vanderbijlpark, South Africa, 15 May 2018
B2: Open Up: Open Data in the Public SectorMarieke Guy
Parallel session [B2: Open Up: Open Data in the Public Sector] run at the Institutional Web Management Workshop 2013 (IWMW 2013) event, University of Bath on 26 - 28th June 2013.
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
Implementing Open Access: Effective Management of Your Research DataMartin Hamilton
This document discusses research data management and support available from Jisc and the Digital Curation Centre (DCC). It provides background on policy drivers for research data management, outlines support offered by the DCC including capability studies, data management planning tools, and training. It also summarizes results from a 2014 survey of UK higher education institutions which found most progress in policy development and plans, but challenges around staffing, funding, and engagement of researchers. The document concludes with feedback on future priorities such as compelling services, engaging researchers, and shared infrastructure solutions.
The document discusses open education data and outlines the Pearson Think Tank's work in this area. It defines open education data and notes its increasing use for accountability purposes. However, awareness and strategy around using this data for innovation and efficiency is still low. The Think Tank plans to further explore key questions on open data, barriers to its use, and next steps including an event, research, and hack day to engage stakeholders and develop applications.
This slideset introduces the LAK Dataset and Challenge, held at the Learning Analytics & Knowledge (LAK) conference in Leuven, Belgium, April 2013. Further information about the dataset and submissions is available at http://ceur-ws.org/Vol-974/ as well as http://www.solaresearch.org/events/lak/lak-data-challenge/.
Presentation given at the Consorcio Madrono conference on Data Management Plans in Horizon 2020 http://www.consorciomadrono.es/info/web/blogs/formacion/217.php
Guest presentation: SASUF Symposium: Digital Technologies, Big Data, and Cybersecurity, Vaal University of Technology, Vanderbijlpark, South Africa, 15 May 2018
B2: Open Up: Open Data in the Public SectorMarieke Guy
Parallel session [B2: Open Up: Open Data in the Public Sector] run at the Institutional Web Management Workshop 2013 (IWMW 2013) event, University of Bath on 26 - 28th June 2013.
This document discusses challenges with traditional scholarly publishing and opportunities presented by open data and new publishing models.
Traditional publishing incentives prioritize publications over data sharing, which hinders reproducibility and collaboration. This has led to a growing replication gap and increasing retractions. Open data approaches could help by rewarding data release and reuse.
New publishing models are being developed to integrate data, analyses, and publications to better support reproducibility. Initiatives like GigaDB and GigaScience aim to "deconstruct" papers and provide incentives for open peer review, preprints, and implementing analyses in shared platforms like Galaxy. This represents an opportunity to address limitations of traditional publishing.
The document provides an introduction to data visualization for open access advocacy. It discusses the PASTEUR4OA project and ROARMAP registry, which contain policy data that can be visualized. Examples of visualizations include maps and charts showing policy data by country, funder type, and mandate status. The document outlines considerations for manipulating, delivering, and working with live data visualizations, and recommends testing different tools to choose the best for the tasks.
Learning Analytics & Linked Data – Opportunities, Challenges, ExamplesStefan Dietze
Linked data provides opportunities for learning analytics and education by serving as a large body of openly available educational resources and data and by promoting interoperability through semantic web principles. It can help integrate isolated educational platforms and facilitate recommender systems. Example applications include integrating biomedical resources and analyzing datasets in a unified "Linked Education Graph". Techniques like entity enrichment through knowledge bases help disambiguate and correlate educational resources.
Open Educational Data - Datasets and APIs (Athens Green Hackathon 2012)Stefan Dietze
This document discusses linking educational data as linked open data. It describes several existing educational linked data projects and datasets, including SmartLink, mEducator, and the Linked Education Graph. The Linked Education Graph integrates datasets from various sources into a single RDF dataset with over 6 million resources and 97 million triples. The document outlines challenges in linking educational data and introduces the LinkedUp project which aims to further adoption of linked data in education through an open data competition and infrastructure to integrate and query educational datasets.
Workshop session given at the Institutional Web Management Workshop 2012 (IWMW 2012) event held at the University of Edinburgh on 18th - 20th June 2012.
Building an international infrastructure for research data - Jisc Digital Fes...Jisc
Research data infrastructures exist at the national and international level and with the increasing amount of international research collaboration it is crucial that these are joined up.
This session showcased collaborative work that Jisc and its partners are undertaking to create a pan-European e-infrastructure solution through the EC funded EUDAT project.
SURFSara outlined the approach to research data infrastructure in the Netherlands alongside Jisc's approach for a UK infrastructure.
About the Webinar
The increased utilization of mobile devices for content consumption places demands on publishers to be more adept at engaging on mobile devices. As the device market has changed, size, capability, and usability of the devices continue to evolve rapidly. The capability of the web sites needs to keep pace with the changing market both in terms of rendering content on devices and managing the access to the content.
One of the first waves of design called for using custom Apps for mobile devices. Many of the early adopters learned quickly that App maintenance consumed more resources that anyone had predicted.
Access management is another consideration for the mobile experience. Simply put, publishers want be sure that users are authorized to have access to content. In the academic environment, the task is particularly troublesome because students are transient and very mobile. Rather than setting up onerous, session based manual login processes, content providers, usually enabled by hosting companies, have developed techniques to “pair” devices with authentication systems to ensure that access is available when requested, but not extended past a designated time frame. Management of this capability should be transparent intermediaries, such as librarians, but available for management should the need arise.
In this NISO Webinar, speakers will discuss multiple form factors including responsive web design and responsive design with server side components, that help institutions deliver a great experience to their users.
Agenda
Introduction
Nettie Lagace, Associate Director for Programs, NISO
RESS: Responsive Web Design + Server Side Components
Marty Picco, Vice President of Product Management, Atypon
Providing Information across Multiple Devices to the Public Health Workforce: Challenges and Opportunities
Hathy Simpson, MPH, Public Health Information Specialist, Project Coordinator, Public Health Partners Website Project, National Network of Libraries of Medicine, New England Region (NN/LM NER), University of Massachusetts Medical School
Lisa Sedlar, Librarian, National Information Center for Health Services Research and Health Care Technology (NICHSR), National Library of Medicine
Meeting Your Customer Where They Are with Responsive Design
Bobby Foster, Director of User Experience & Design, Health Learning, Research & Practice, Wolters Kluwer
So, what's it all about then? Why we share research dataDanny Kingsley
This document summarizes a presentation about open research and data sharing. It discusses several drivers for data sharing, including funder requirements and cultural expectations among researchers. It also examines blockers to sharing such as concerns about data being stolen or reused without permission. The presentation argues that an overemphasis on high-impact publications and journal metrics is creating problems like hyperauthorship, reproducibility issues, and retractions. It advocates for increasing transparency through measures like preregistering trials, peer reviewing methodologies, and making data openly accessible. The goal is to overhaul how research is conducted, assessed and shared in a more open and collaborative manner.
El impacto de open data en el mundo y en Venezuela. Profesora Maria Esther Vidal. Universidad Simón Bolivar. Presentacion realizada durante el boot camp sobre periodismo de datos-Venezuela.
About the Webinar
The development and rising popularity of the massive open online course (MOOC) presents a new opportunity for libraries to be involved in the education of patrons, to highlight the resources libraries provide and to further demonstrate the value of the library to administrators. There are, of course, a host of logistics to be considered when deciding to organize or support a MOOC. Diminished library budgets and staffing levels challenge libraries both monetarily and administratively. Marketing the course, mounting it on a site, securing copyright permissions and negotiating licensing for course materials, managing the course while in progress and troubleshooting technical problems add to the issues that have caused some libraries to hesitate in joining the MOOC movement. On the other hand, partnerships such as that between Georgetown University and edX, itself an initiative of Harvard and MIT, allow a pooling of resources thereby easing the burden on any one library. In some cases price breaks for certain course materials used in MOOCs can help draw students to the course, though the pricing must still be negotiated by the course organizer. A successful MOOC, such as the RootsMOOC, created by the Z. Smith Reynolds Library at Wake Forest University and the State Library of North Carolina, can bring awareness of library resources to a broad audience.
In the end, libraries must ask whether the advantages of participating in a MOOC outweigh the challenges. The speakers for this webinar will consider these issues surrounding MOOCs and libraries and try to answer the question of whether the impact of libraries on MOOCs has been realized or is still brewing.
Agenda
Introduction
Todd Carpenter, Executive Director, NISO
MOOCS: Assessing the Landscape and Trends of Open Online Learning
Heather Ruland Staines, Director Publisher and Content Strategy, ProQuest SIPX
The RootsMOOC Project or: that time we threw a genealogy party and 4,000 people showed up
Kyle Denlinger, eLearning Librarian, Wake Forest University Z. Smith Reynolds Library
Rebecca Hyman, Reference and Outreach Librarian, Government and Heritage Library, State Library of North Carolina
MOOCS and Me: Georgetown's Experience with MOOC Production
Barrinton Baynes, Multimedia Projects Manager, Gelardin New Media Center, Georgetown University Library
Scott Edmunds slides for class 8 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering open science and data publishing
Australian Legal Education in 2017: Taking Stock for an Uncertain FutureSally Kift
This presentation was made to The Future of Legal Education Workshop hosted by Griffith University's Law Futures Centre on 1 November 2017. It suggests that Australian legal education research over the last decade has positioned us well for an uncertain future. While our Law Schools cannot afford to be complacent, especially given the increasing automation of legal work and the unbundling of legal services, the strong research and evidence base to which Australian legal educators may refer provides a degree of optimism for an uncertain future. Critically, this must be a joint endeavour that engages all branches of the legal profession and the Academy working together. Students and young lawyers in particular have a vital role to play in shaping the future of their professional education. In the absence of an #OLTphoenix, Australian legal education is well-placed to be self-sustaining and self-generating.
The abstract for the session was as follows:
In 2017, Australian legal education finds itself at a crossroads. In common with its disciplinary brethren, it is being impacted by the multitude challenges and volatile policy environment facing the Australian higher education sector more broadly. As for the rest of the Academy also, Law Schools are being squeezed on numerous fronts in their quest to fund pedagogical innovation. In the meantime, law students, who continue to bear a disproportionately high percentage of their degree costs, find themselves entering an extremely competitive job market with reduced employment opportunities. And of potentially even greater import, the disruptive innovation being felt in universities is also now impacting the legal services industry itself, so much so that the halcyon days of Priestley’s dead hand (or light hand, depending on your perspective) finally look to be drawing to a close.
This presentation will review Australian legal education’s pedagogical progress over the last decade through a scholarship lens and ask how is legal education positioned in 2017 for an uncertain future? In the absence of a national body such as the Office for Learning and Teaching (OLT), which was de-funded in mid-2016, is Australian legal education research and scholarship sufficiently mature to be self-sustaining and self-generating? At the risk of being overly optimistic, it will be suggested that, in an era of stackable credentials, the quality of Australian legal education generally ranks amongst the best in the world and is well-positioned to prepare its students to take their place, personally and professionally, as global citizens in complex and dynamic legal and other workplaces.
AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning
JU Analytics Day Presentation by Naveen Agarwal, Creative Analytics Solutions...Naveen Agarwal
This document discusses opportunities and challenges in big data analytics for professionals. It begins with an introduction by Naveen Agarwal about himself and his work at Johnson & Johnson Vision Care analyzing big data. The document then covers topics like what constitutes big data, why big data potential has been difficult to realize, assessing an organization's maturity with big data, and case studies of analytics projects at J&J Vision Care addressing questions in areas like product quality, sales forecasting, and cannibalization. It also discusses roles for data professionals like business analysts, data scientists, software engineers and the skills required for these roles.
Leveraging the ETD as a pathway to broader discussions about openness in a un...Danny Kingsley
Workshop held as part of ETD2021 https://conferences.uaeu.ac.ae/etd2021/en/index.shtml on 15 November 2021
This workshop will explore different challenges to making ETDs openly available and how they can be used within an institution to engage with faculty in relation to open research practices. Example considerations include the use of third party copyright, whether a data management plan is required as part of the PhD research process and how the ethical approval process can be a natural point for considering and formalizing research integrity issues. Through these processes, universities have an opportunity to not only ensure the next generation of scholars are working with a high level of research integrity, but also to update the skills and knowledge of those who supervise PhD students.
WWW2013 Tutorial: Linked Data & EducationStefan Dietze
Linked data provides opportunities for sharing educational data on the web in a standardized way. It allows for the integration of heterogeneous educational resources and datasets from different platforms. This can enable new applications like cross-platform recommender systems and exploratory search. However, there are also challenges to address like annotation overhead, performance, and scalability when dealing with large amounts of distributed data.
New Forms of Collaboration in Humanities ResearchShawn Day
This document discusses new forms of collaboration in humanities research enabled by technology. It outlines evidence that social scholarship is growing, including increased open access publishing and tools that support collaboration. Challenges to social scholarship include lack of recognition and concerns about intellectual property and publication quality. The document examines examples of collaborative projects like crowdsourcing transcription and open source development. It argues that applying principles of open access, participation and distribution can accelerate research by engaging communities in knowledge sharing.
Materials for getting started with data scienceihansel
This document provides an overview of free resources for learning data science. It recommends the Data Science Handbook, DataCamp for learning coding skills, and An Introduction to Statistical Learning for algorithms and concepts. It also recommends Kaggle for data science projects and competitions and notes that it allows working on datasets in a virtual machine without installing software. The resources are aimed at beginners and provide reviews of books, websites, MOOCs and podcasts for learning data science.
Open Data Institute Course - Open Data in a Day conducted by Registered ODI Trainer Ian Henshaw on October 14, 2015 in RTP, NC USA - Deck #1 Introduction to Open Data
Writing Analytics for Epistemic Features of Student Writing #icls2016 talkSimon Knight
Talk presented at #ICLS2016 presented in Singapore. I discuss levels of description as sites of epistemic cognition focusing on writing and use of textual features to associate rubric scores with epistemic cognition.
My thanks to my collaborators (listed on the paper) particularly Laura Allen, who also generously let me adapt the later slides on NLP studies of writing.
Abstract: Literacy, encompassing the ability to produce written outputs from the reading of multiple sources, is a key learning goal. Selecting information, and evaluating and integrating claims from potentially competing documents is a complex literacy task. Prior research exploring differing behaviours and their association to constructs such as epistemic cognition has used ‘multiple document processing’ (MDP) tasks. Using this model, 270 paired participants, wrote a review of a document. Reports were assessed using a rubric associated with features of complex literacy behaviours. This paper focuses on the conceptual and empirical associations between those rubric-marks and textual features of the reports on a set of natural language processing (NLP) indicators. Findings indicate the potential of NLP indicators for providing feedback regarding the writing of such outputs, demonstrating clear relationships both across rubric facets and between rubric facets and specific NLP indicators.
Presentation given at the European Research Council workshop on research data management and sharing in Brussels on 18th-19th September 2014. The presentation covers the benefits and drivers for RDM, points to relevant tools and resources and closes with some open questions for discussion.
1) The document discusses three paradigmatic positions that institutions may take regarding ethics and privacy in learning analytics: proceed with caution and respect existing policies, proceed with caution while still trying to be respectful, or adopt a data-driven approach and adapt policies accordingly.
2) Technical infrastructure is a major concern, as it can constrain or determine an institution's data policies. Systems developed by commercial platforms may not prioritize privacy and individual control.
3) The discussion activity prompts reflection on an institution's current position, any conflicts between stakeholder views, the technical systems that influence policy, and open questions about technology and privacy.
This document discusses challenges with traditional scholarly publishing and opportunities presented by open data and new publishing models.
Traditional publishing incentives prioritize publications over data sharing, which hinders reproducibility and collaboration. This has led to a growing replication gap and increasing retractions. Open data approaches could help by rewarding data release and reuse.
New publishing models are being developed to integrate data, analyses, and publications to better support reproducibility. Initiatives like GigaDB and GigaScience aim to "deconstruct" papers and provide incentives for open peer review, preprints, and implementing analyses in shared platforms like Galaxy. This represents an opportunity to address limitations of traditional publishing.
The document provides an introduction to data visualization for open access advocacy. It discusses the PASTEUR4OA project and ROARMAP registry, which contain policy data that can be visualized. Examples of visualizations include maps and charts showing policy data by country, funder type, and mandate status. The document outlines considerations for manipulating, delivering, and working with live data visualizations, and recommends testing different tools to choose the best for the tasks.
Learning Analytics & Linked Data – Opportunities, Challenges, ExamplesStefan Dietze
Linked data provides opportunities for learning analytics and education by serving as a large body of openly available educational resources and data and by promoting interoperability through semantic web principles. It can help integrate isolated educational platforms and facilitate recommender systems. Example applications include integrating biomedical resources and analyzing datasets in a unified "Linked Education Graph". Techniques like entity enrichment through knowledge bases help disambiguate and correlate educational resources.
Open Educational Data - Datasets and APIs (Athens Green Hackathon 2012)Stefan Dietze
This document discusses linking educational data as linked open data. It describes several existing educational linked data projects and datasets, including SmartLink, mEducator, and the Linked Education Graph. The Linked Education Graph integrates datasets from various sources into a single RDF dataset with over 6 million resources and 97 million triples. The document outlines challenges in linking educational data and introduces the LinkedUp project which aims to further adoption of linked data in education through an open data competition and infrastructure to integrate and query educational datasets.
Workshop session given at the Institutional Web Management Workshop 2012 (IWMW 2012) event held at the University of Edinburgh on 18th - 20th June 2012.
Building an international infrastructure for research data - Jisc Digital Fes...Jisc
Research data infrastructures exist at the national and international level and with the increasing amount of international research collaboration it is crucial that these are joined up.
This session showcased collaborative work that Jisc and its partners are undertaking to create a pan-European e-infrastructure solution through the EC funded EUDAT project.
SURFSara outlined the approach to research data infrastructure in the Netherlands alongside Jisc's approach for a UK infrastructure.
About the Webinar
The increased utilization of mobile devices for content consumption places demands on publishers to be more adept at engaging on mobile devices. As the device market has changed, size, capability, and usability of the devices continue to evolve rapidly. The capability of the web sites needs to keep pace with the changing market both in terms of rendering content on devices and managing the access to the content.
One of the first waves of design called for using custom Apps for mobile devices. Many of the early adopters learned quickly that App maintenance consumed more resources that anyone had predicted.
Access management is another consideration for the mobile experience. Simply put, publishers want be sure that users are authorized to have access to content. In the academic environment, the task is particularly troublesome because students are transient and very mobile. Rather than setting up onerous, session based manual login processes, content providers, usually enabled by hosting companies, have developed techniques to “pair” devices with authentication systems to ensure that access is available when requested, but not extended past a designated time frame. Management of this capability should be transparent intermediaries, such as librarians, but available for management should the need arise.
In this NISO Webinar, speakers will discuss multiple form factors including responsive web design and responsive design with server side components, that help institutions deliver a great experience to their users.
Agenda
Introduction
Nettie Lagace, Associate Director for Programs, NISO
RESS: Responsive Web Design + Server Side Components
Marty Picco, Vice President of Product Management, Atypon
Providing Information across Multiple Devices to the Public Health Workforce: Challenges and Opportunities
Hathy Simpson, MPH, Public Health Information Specialist, Project Coordinator, Public Health Partners Website Project, National Network of Libraries of Medicine, New England Region (NN/LM NER), University of Massachusetts Medical School
Lisa Sedlar, Librarian, National Information Center for Health Services Research and Health Care Technology (NICHSR), National Library of Medicine
Meeting Your Customer Where They Are with Responsive Design
Bobby Foster, Director of User Experience & Design, Health Learning, Research & Practice, Wolters Kluwer
So, what's it all about then? Why we share research dataDanny Kingsley
This document summarizes a presentation about open research and data sharing. It discusses several drivers for data sharing, including funder requirements and cultural expectations among researchers. It also examines blockers to sharing such as concerns about data being stolen or reused without permission. The presentation argues that an overemphasis on high-impact publications and journal metrics is creating problems like hyperauthorship, reproducibility issues, and retractions. It advocates for increasing transparency through measures like preregistering trials, peer reviewing methodologies, and making data openly accessible. The goal is to overhaul how research is conducted, assessed and shared in a more open and collaborative manner.
El impacto de open data en el mundo y en Venezuela. Profesora Maria Esther Vidal. Universidad Simón Bolivar. Presentacion realizada durante el boot camp sobre periodismo de datos-Venezuela.
About the Webinar
The development and rising popularity of the massive open online course (MOOC) presents a new opportunity for libraries to be involved in the education of patrons, to highlight the resources libraries provide and to further demonstrate the value of the library to administrators. There are, of course, a host of logistics to be considered when deciding to organize or support a MOOC. Diminished library budgets and staffing levels challenge libraries both monetarily and administratively. Marketing the course, mounting it on a site, securing copyright permissions and negotiating licensing for course materials, managing the course while in progress and troubleshooting technical problems add to the issues that have caused some libraries to hesitate in joining the MOOC movement. On the other hand, partnerships such as that between Georgetown University and edX, itself an initiative of Harvard and MIT, allow a pooling of resources thereby easing the burden on any one library. In some cases price breaks for certain course materials used in MOOCs can help draw students to the course, though the pricing must still be negotiated by the course organizer. A successful MOOC, such as the RootsMOOC, created by the Z. Smith Reynolds Library at Wake Forest University and the State Library of North Carolina, can bring awareness of library resources to a broad audience.
In the end, libraries must ask whether the advantages of participating in a MOOC outweigh the challenges. The speakers for this webinar will consider these issues surrounding MOOCs and libraries and try to answer the question of whether the impact of libraries on MOOCs has been realized or is still brewing.
Agenda
Introduction
Todd Carpenter, Executive Director, NISO
MOOCS: Assessing the Landscape and Trends of Open Online Learning
Heather Ruland Staines, Director Publisher and Content Strategy, ProQuest SIPX
The RootsMOOC Project or: that time we threw a genealogy party and 4,000 people showed up
Kyle Denlinger, eLearning Librarian, Wake Forest University Z. Smith Reynolds Library
Rebecca Hyman, Reference and Outreach Librarian, Government and Heritage Library, State Library of North Carolina
MOOCS and Me: Georgetown's Experience with MOOC Production
Barrinton Baynes, Multimedia Projects Manager, Gelardin New Media Center, Georgetown University Library
Scott Edmunds slides for class 8 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering open science and data publishing
Australian Legal Education in 2017: Taking Stock for an Uncertain FutureSally Kift
This presentation was made to The Future of Legal Education Workshop hosted by Griffith University's Law Futures Centre on 1 November 2017. It suggests that Australian legal education research over the last decade has positioned us well for an uncertain future. While our Law Schools cannot afford to be complacent, especially given the increasing automation of legal work and the unbundling of legal services, the strong research and evidence base to which Australian legal educators may refer provides a degree of optimism for an uncertain future. Critically, this must be a joint endeavour that engages all branches of the legal profession and the Academy working together. Students and young lawyers in particular have a vital role to play in shaping the future of their professional education. In the absence of an #OLTphoenix, Australian legal education is well-placed to be self-sustaining and self-generating.
The abstract for the session was as follows:
In 2017, Australian legal education finds itself at a crossroads. In common with its disciplinary brethren, it is being impacted by the multitude challenges and volatile policy environment facing the Australian higher education sector more broadly. As for the rest of the Academy also, Law Schools are being squeezed on numerous fronts in their quest to fund pedagogical innovation. In the meantime, law students, who continue to bear a disproportionately high percentage of their degree costs, find themselves entering an extremely competitive job market with reduced employment opportunities. And of potentially even greater import, the disruptive innovation being felt in universities is also now impacting the legal services industry itself, so much so that the halcyon days of Priestley’s dead hand (or light hand, depending on your perspective) finally look to be drawing to a close.
This presentation will review Australian legal education’s pedagogical progress over the last decade through a scholarship lens and ask how is legal education positioned in 2017 for an uncertain future? In the absence of a national body such as the Office for Learning and Teaching (OLT), which was de-funded in mid-2016, is Australian legal education research and scholarship sufficiently mature to be self-sustaining and self-generating? At the risk of being overly optimistic, it will be suggested that, in an era of stackable credentials, the quality of Australian legal education generally ranks amongst the best in the world and is well-positioned to prepare its students to take their place, personally and professionally, as global citizens in complex and dynamic legal and other workplaces.
AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning
JU Analytics Day Presentation by Naveen Agarwal, Creative Analytics Solutions...Naveen Agarwal
This document discusses opportunities and challenges in big data analytics for professionals. It begins with an introduction by Naveen Agarwal about himself and his work at Johnson & Johnson Vision Care analyzing big data. The document then covers topics like what constitutes big data, why big data potential has been difficult to realize, assessing an organization's maturity with big data, and case studies of analytics projects at J&J Vision Care addressing questions in areas like product quality, sales forecasting, and cannibalization. It also discusses roles for data professionals like business analysts, data scientists, software engineers and the skills required for these roles.
Leveraging the ETD as a pathway to broader discussions about openness in a un...Danny Kingsley
Workshop held as part of ETD2021 https://conferences.uaeu.ac.ae/etd2021/en/index.shtml on 15 November 2021
This workshop will explore different challenges to making ETDs openly available and how they can be used within an institution to engage with faculty in relation to open research practices. Example considerations include the use of third party copyright, whether a data management plan is required as part of the PhD research process and how the ethical approval process can be a natural point for considering and formalizing research integrity issues. Through these processes, universities have an opportunity to not only ensure the next generation of scholars are working with a high level of research integrity, but also to update the skills and knowledge of those who supervise PhD students.
WWW2013 Tutorial: Linked Data & EducationStefan Dietze
Linked data provides opportunities for sharing educational data on the web in a standardized way. It allows for the integration of heterogeneous educational resources and datasets from different platforms. This can enable new applications like cross-platform recommender systems and exploratory search. However, there are also challenges to address like annotation overhead, performance, and scalability when dealing with large amounts of distributed data.
New Forms of Collaboration in Humanities ResearchShawn Day
This document discusses new forms of collaboration in humanities research enabled by technology. It outlines evidence that social scholarship is growing, including increased open access publishing and tools that support collaboration. Challenges to social scholarship include lack of recognition and concerns about intellectual property and publication quality. The document examines examples of collaborative projects like crowdsourcing transcription and open source development. It argues that applying principles of open access, participation and distribution can accelerate research by engaging communities in knowledge sharing.
Materials for getting started with data scienceihansel
This document provides an overview of free resources for learning data science. It recommends the Data Science Handbook, DataCamp for learning coding skills, and An Introduction to Statistical Learning for algorithms and concepts. It also recommends Kaggle for data science projects and competitions and notes that it allows working on datasets in a virtual machine without installing software. The resources are aimed at beginners and provide reviews of books, websites, MOOCs and podcasts for learning data science.
Open Data Institute Course - Open Data in a Day conducted by Registered ODI Trainer Ian Henshaw on October 14, 2015 in RTP, NC USA - Deck #1 Introduction to Open Data
Writing Analytics for Epistemic Features of Student Writing #icls2016 talkSimon Knight
Talk presented at #ICLS2016 presented in Singapore. I discuss levels of description as sites of epistemic cognition focusing on writing and use of textual features to associate rubric scores with epistemic cognition.
My thanks to my collaborators (listed on the paper) particularly Laura Allen, who also generously let me adapt the later slides on NLP studies of writing.
Abstract: Literacy, encompassing the ability to produce written outputs from the reading of multiple sources, is a key learning goal. Selecting information, and evaluating and integrating claims from potentially competing documents is a complex literacy task. Prior research exploring differing behaviours and their association to constructs such as epistemic cognition has used ‘multiple document processing’ (MDP) tasks. Using this model, 270 paired participants, wrote a review of a document. Reports were assessed using a rubric associated with features of complex literacy behaviours. This paper focuses on the conceptual and empirical associations between those rubric-marks and textual features of the reports on a set of natural language processing (NLP) indicators. Findings indicate the potential of NLP indicators for providing feedback regarding the writing of such outputs, demonstrating clear relationships both across rubric facets and between rubric facets and specific NLP indicators.
Presentation given at the European Research Council workshop on research data management and sharing in Brussels on 18th-19th September 2014. The presentation covers the benefits and drivers for RDM, points to relevant tools and resources and closes with some open questions for discussion.
1) The document discusses three paradigmatic positions that institutions may take regarding ethics and privacy in learning analytics: proceed with caution and respect existing policies, proceed with caution while still trying to be respectful, or adopt a data-driven approach and adapt policies accordingly.
2) Technical infrastructure is a major concern, as it can constrain or determine an institution's data policies. Systems developed by commercial platforms may not prioritize privacy and individual control.
3) The discussion activity prompts reflection on an institution's current position, any conflicts between stakeholder views, the technical systems that influence policy, and open questions about technology and privacy.
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A presentation offering an introduction to managing and sharing research data given at the Czech Open Science days as part of the EC-funded FOSTER project.
Presentation given at Serious Request 2015, #SR15, Heerlen.
Within the Open University we started a 12 hours marathon college, to collect money for the charity action of radiostation 3FM. The collected money will go to the red cross and support young people in conflict areas.
This document discusses challenges for the higher education sector in implementing learning analytics at scale. It begins with an overview of learning analytics and its potential uses. Key challenges mentioned include developing a consensus approach for Norway, addressing privacy issues, establishing infrastructure for data handling and analysis, and developing standards and competencies. The document calls for establishing several resources to help institutions, including tools for assessing readiness, developing strategies, conducting research, and managing data and analytics processes according to privacy standards.
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This presentation by Dr Danny Kingsleywas part of the "Research Data Support Meets Disciplines: Opportunities & Challenges" workshop at LIBER's 2017 Annual Conference in Patras, Greece. For more information, see www.libereurope.eu
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Biomedical Data Science: We Are Not AlonePhilip Bourne
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- Advances in machine learning, like Alpha
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Scaling up learning analytics solutions: Is privacy a show-stopper?Tore Hoel
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2) It notes that learning analytics could be considered unlawful if students do not have control over and consent to how their data is used.
3) The presentation raises important questions about data ownership, student consent, and limiting data collection and use to only what is necessary for educational purposes.
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Short overview of the incubation process supporting open source software projects and communities participating in the Apereo Foundation.
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Open Learning Analytics LSAC2018
1. The Case for
Open Learning
Analytics
Ian Dolphin
iandolphin2@mac.com
More about why this sign was created at http://www.intrastructures.net/Intrastructures/Actions_-_The_next_big_thing_2.html
PhotographIanDolphin|CCBY-SA4.0
Original Content CCBY-SA 4.0 International
3. – The Apereo Foundation is a non-profit [501(c)(3)]
registered in New Jersey
Apereo Foundation Mission
“…collaborate to foster, develop, and sustain
open technologies and innovation to
support learning, teaching, and research."
5. To become a convincing advocate for any technology,
you must become it’s sternest critic
6. Agenda
Learning Analytics - getting on the same page
Perceptions around Big Data
The Apereo Community approach
Jisc in the UK
Early lessons: Learning Analytics and Openness
7. Academic Analytics
System or organisation wide data
Learner/ing Analytics
Use data about individuals for action
Educational Data Sciences - the Broad Landscape …
Educational Data Mining
Use data to improve understanding of learning
8. Learning Analytics Definition
“Measurement, collection, analysis and
reporting of data about learners and their
contexts, for purposes of understanding
and optimizing learning and the
environments in which it occurs” (1)
(1) Learning and Academic Analytics, Siemens, G., 5 August 2011, http://www.learninganalytics.net/?p=131
10. Predictive Analytics
Applying techniques associated with big data to
data produced in course of learning.
Analysing historical aggregate data to identify
potential failure/success.
big data
noun COMPUTING
1. extremely large data sets that may be analysed computationally to reveal patterns,
trends, and associations, especially relating to human behaviour and interactions.
11. #LSAC17 Keynote @dgasevic
Recognising that learning analytics
is about learning - not just big data
#LearningAnalytics
Dragan Gasevic - Monash University and SoLAR
19. If you’re involved in an aspect of
openness in education, the debate cannot
be ignored.
Open source communities should be aware of
the ethical dimensions of what they make.
20. Controversy - a Note
People write algorithms …
… or people write algorithms that write
algorithms …
It’s not difficult to find horror stories …
21.
22. Wired 10 January 2015 | https://www.wired.com/2015/10/can-learn-epic-failure-google-flu-trends/
Google predicted where flu outbreaks would take place by what symptoms
are searched … but then changed their suggested search input to include “flu
symptoms” … 140% error on peak of 2013 flu season
23. LA Times 11 Oct 2016 | http://www.latimes.com/business/lazarus/la-fi-lazarus-big-data-healthcare-20161011-snap-story.html
24. The Guardian 30 June 2016 | https://www.theguardian.com/technology/2016/jun/30/tesla-autopilot-death-self-driving-car-elon-musk
Tesla algorithms failed to identify white truck against white sky
25. Wall Street Journal 1 July 2015 | https://blogs.wsj.com/digits/2015/07/01/google-mistakenly-tags-black-people-as-gorillas-showing-limits-of-algorithms/
Not intentional racism … but algorithms have unintended effects and consequences
30. Nature 25 January 2015 | https://www.nature.com/news/reform-predictive-policing-1.21338
31. The Independent 11 May 2018 | https://www.independent.co.uk/news/uk/home-news/met-police-facial-recognition-success-south-wales-trial-home-office-false-positive-a8345036.html
32. The Independent 28 June 2018 | https://www.independent.co.uk/news/uk/home-news/facial-recognition-london-police-accuracy-human-rights-crime-database-a8422056.html
33.
34. There are other approaches …
Hull Daily Mail 5 Oct 2013 | http://www.dailymail.co.uk/news/article-2445554/Hull-crook-caught-DNA-scene-took-bite-cucumber.html
36. Ventriloquist - Own work
A scanned copy of a punched card given to me by a hydrologist around fifteen years ago.
• CC BY-SA 3.0
• File:Punched Card.jpg
• Created: 1 April 1997
Found https://en.wikipedia.org/wiki/Punched_card#/media/File:Punched_Card.jpg
37. Hollerith Card
“In 1936, it became mandatory for each Dutch
municipality to maintain a demographic record of
it’s inhabitants; by 1939, each citizen had to carry
a persoonkaart or personal identity card. Both
included a field for ‘Heritage’.”
“The Registry was maintained on punched
Hollerith cards.”
Greenfield, Adam: Radical Technologies pp60-61
40. Wired 14 Dec 2017 | https://www.wired.com/story/age-of-social-credit/
41. EdSurge 9 April 2018 | https://www.edsurge.com/news/2018-04-09-china-s-netdragon-to-acquire-edmodo-for-137-5-million
42. Inside Higher Ed 21 Dec 2017 | https://www.insidehighered.com/news/2017/12/21/georgia-techs-monitoring-students-social-media-causes-concern
“…continuing to monitor this student’s social media accounts…”
43. Honi Soit 18 May 2017 | http://honisoit.com/2017/05/the-living-laboratory-how-the-university-watches-your-every-move/
44. Wonkhe 2 July 2018 | https://wonkhe.com/blogs/every-breath-you-take-new-moves-in-student-surveillance-and-support/
2nd July 18
45. The Telegraph 18th June 2018 | https://www.telegraph.co.uk/education/2018/06/18/university-students-data-shared-private-companies/
46. 18th June 2018
The Telegraph 18th June 2018 | https://www.telegraph.co.uk/education/2018/06/18/university-students-data-shared-private-companies/
47. Uninvent? Influence? Control?
The cat is out of the bag.
There is evidence of LA success.
Do we have the right to ignore this
evidence?
What safeguards are in place?
Some early lessons from UK, US, France
48. Apereo Community Activity
Based Around Open Source Code
A variety of small & large US institutions
Jisc
Pilots in France - including U Lorraine
Australian Universities
49. Learning Analytics Data Sources
Student Information Systems
Virtual Learning Environments
Attendance Monitoring Systems
Library Management Systems
Media Players
Learning Materials
??????????
51. Spark
Hadoop
Collect & Store
Intervention:
Action/Advising
Communication:
Dashboards/Early Alert
Big Data
Techniques
Analysis
Communication:
Dashboards/Early Alert
Open Dashboard
Intervention:
Action/Advising
Student Success Plan
Big Data
Techniques
Collect & Store
Open LRW
Predictive Analytics
https://www.apereo.org/projects/shuhari
Uses historical aggregate data
54. Learning Analytics Data Sources
Student Information Systems
Virtual Learning Environments
Attendance Monitoring Systems
Library Management Systems
Media Players
Learning Materials
??????????
Moving from accidental to designed data sources
56. Times Higher Education Supplement 28th June 2018 | https://www.timeshighereducation.com/news/uk-gets-world-first-national-learning-analytics-service
57. About Jisc
›UK’s national IT member organisation for
colleges and universities
›>600 member organisations
›Provide shared services, sector procurement
deals and support and advice
https://jisc.ac.uk
Thanks to Michael Webb, Jisc
58. Learning analytics use cases today
1) To support personal tutor system
2) To enable course leaders to improve courses
3) To enable students to understand their learning
Thanks to Michael Webb, Jisc
59. Supporting Personal Tutor System
Overview of the process:
1) Predictive analytics helps identify students at risk
2) Descriptive analytics helps identify why
3) Tutor determines intervention
Data Explorer
Thanks to Michael Webb, Jisc
60. Consent - Jisc View (1)
Most learning analytics is covered by:
a) legitimate interests of the organisation
b) necessary for the performance of a contract with the data
subject.
Consent isn’t the most appropriate basis for general learning
analytics.
There are exceptions.
See:
https://analytics.jiscinvolve.org/wp/2017/02/16/
consent-for-learning-analytics-some-practical-
guidance-for-institutions/
legal and contractual complexity
Thanks to Michael Webb, Jisc
61. Consent - Jisc View (2)
Consent is required for the following:
a) using sensitive characteristics
This includes attributes such as a person’s religion, ethnicity,
health, trade union membership or political beliefs.
This data may need to be used if using learning analytics to
support widening participation or addressing differential outcomes
b) for action based on automated decisions
This is explicitly covered under GDPR
See:
https://analytics.jiscinvolve.org/wp/2017/02/16/
consent-for-learning-analytics-some-practical-
guidance-for-institutions/
legal and contractual complexity
Thanks to Michael Webb, Jisc
62. Openness for predictive models
How do we explain our algorithms to
users in ways they can understand?
We want to avoid having a ‘Blackbox’
Non-technical staff can’t understand code.
understanding predictive models
Thanks to Michael Webb, Jisc
63. Institutions need to understand how the model works.
• Non data scientists need to understand the basic
approach, and be able to explain to students.
• Jisc are trying a guide for non-data scientists to
address this.
NB from ID - France, pilots intentionally include data
scientists
Openness for predictive models
understanding predictive models
Thanks to Michael Webb, Jisc
65. Eight Dimensions of Openness
Open Purpose - be clear about the “why”
Open Ethical Framework -
Open and Inclusive Governance - learners, faculty
Open Source Software - a level of trust
Open Platform/Architecture - alternatives. It’s early.
Open Standards - ditto
Open Algorithms - more later
Open Consent/Consent Management (where required)
IanDolphinviaFlickrAttribution2.0Generic (CCBY-NC-ND2.0)
66. Challenges
Open Algorithms?
What do we need to effectively share?
A place/s to share?
Training data?
How do we increase understanding?
LAK18 Hackathon - “algorithmic literacy”
Curricular Impact?
GDPR and “right to understand”
NB: not a legal requirement
Potential role for counterfactuals?
67. ‘Counterfactual Explanations without
Opening the Black Box: Automated
Decisions and the GDPR’
Explains impact, enables recourse/subject action
“Counterfactual explanations take a similar form to
the statement: “You were denied a loan because
your annual income was £30,000. If your income had
been £45,000, you would have been offered a loan.”
Sandra Wachter, Brent Mittelstadt, & Chris Russell
https://arxiv.org/abs/1711.00399
68. Consent - Two Elements
Consent?
How well do we manage consent?
“Automated decision making” + sensitive info
What more do we need?
Mechanics of Managing Consent
(…and Managing withdrawal of consent)
Educating about purposes and rights
Enabling informed or educated consent
69. March 18th 2018
This is a perspective that is gaining ground
The Guardian 19 Mar 2018 | https://www.theguardian.com/commentisfree/2018/mar/19/the-guardian-view-on-data-protection-informed-consent-needed