The Linked Data for Professional Education (LD4PE) project has developed a Competency Index for Linked Data that allows the construction of learning trajectories for Linked Data education. The Competency Index defines a set of assertions (within 30 groups under six categories) of the knowledge, skills, and habits of mind required for professional practice in the area of Linked Data. Educational resources have been collected and indexed with the competencies; all are free for use (available at: http://explore.dublincore.net/). How can instructors, trainers, and learners use the competencies to build the learning outcomes in their curricula or course syllabi? How could they share and reuse the developed curricula and the instructional resources in teaching? This session aims to bring together educators and learners in an interactive venue for using the LD4PE tools to develop learning modules for their future audiences around the competencies.
This presentation from the 2014 SXSWedu Conference discusses how LRMI makes it easier to discover and use educational materials that meet the needs of the teacher or learner.
Professional catalogers in an academic library have professional responsibilities in librarianship, scholarship, and services to the library, institute, and professional organizations. However, whatever the catalogers do have to be in alignment with strategic directions of the academic library, and contribute to its institutional effectiveness. This presentation uses several projects from Georgia Tech Library as examples to illuminate the subject matter on the role cataloger in the 21st century academic library. It first discusses the role of cataloger in assisting the removal of print collections out of GT Library building and creating a seamless collection with Emory resources in EmTech Library Services Center (LSC). It then discusses the role of cataloger in cataloging and metadata management from the perspectives of resource discovery, data curation, repository services, eResearch archive, and digitization.
Allegro Sports Roboterunterstütztes Beintraining mit künstlicher IntelligenzZeno Ramun Raphael Davatz
Allegro Sports ist ein Beintrainingsroboter mit künstlicher Intelligenz. Beine können individuell belastet werden. Softwaregesteuerte Kraftmessung mit unterschiedlichen Trainingsmöglichkeiten. Mehr Details in der Präsentation.
This presentation from the 2014 SXSWedu Conference discusses how LRMI makes it easier to discover and use educational materials that meet the needs of the teacher or learner.
Professional catalogers in an academic library have professional responsibilities in librarianship, scholarship, and services to the library, institute, and professional organizations. However, whatever the catalogers do have to be in alignment with strategic directions of the academic library, and contribute to its institutional effectiveness. This presentation uses several projects from Georgia Tech Library as examples to illuminate the subject matter on the role cataloger in the 21st century academic library. It first discusses the role of cataloger in assisting the removal of print collections out of GT Library building and creating a seamless collection with Emory resources in EmTech Library Services Center (LSC). It then discusses the role of cataloger in cataloging and metadata management from the perspectives of resource discovery, data curation, repository services, eResearch archive, and digitization.
Allegro Sports Roboterunterstütztes Beintraining mit künstlicher IntelligenzZeno Ramun Raphael Davatz
Allegro Sports ist ein Beintrainingsroboter mit künstlicher Intelligenz. Beine können individuell belastet werden. Softwaregesteuerte Kraftmessung mit unterschiedlichen Trainingsmöglichkeiten. Mehr Details in der Präsentation.
Groundwater quality of south India is depending on climate condition and bedrock geology but may also be impacted by pollution, particularly from industrial sources and agricultural activity. In the current study, 15 groundwater samples were collected from different locations in the Kinathukkadavu Taluk, Coimbatore to assess water quality for drinking as well as for irrigation purpose by analyzing the major cations (Ca2+, Mg2+, Na+ and K+) and anions (Cl-, NO3-, SO42- and F-) besides some physical and chemical parameters (pH, total hardness, electrical conductivity and total alkalinity). Statistical analysis like correlation, R- mode factor and cluster analysis were performed for demarcate the association of hydro geochemical parameters. Also groundwater quality mapping was developed using geographic information system.
Extending the longevity, is a significant job to be accomplished by these sensor networks. The traditional routing protocols could not be applied here, due to its nodes powered by batteries. Nodes are often clustered in to non-overlapping clusters, so as to provide energy efficiency. A concise overview on clustering processes, within wireless sensor networks is given in this paper. But it is difficult to replace the deceased batteries of the sensor nodes. A distinctive sensor node consumes much of its energy during wireless communication. This research work suggests the development of a hierarchical distributed clustering mechanism, which gives improved performance over the existing clustering algorithm LEACH. The two hiding concepts behind the proposed scheme are the hierarchical distributed clustering mechanism and the concept of threshold. Energy utilization is significantly reduced, thereby greatly prolonging the lifetime of the sensor nodes.
Wind energy is playing a critical role in the establishment of an environmentally sustainable low carbon economy. This paper presents an overview of wind turbine generator technologies and compares their advantages and drawbacks used for wind energy utilization. Traditionally, DC machines, synchronous machines and squirrel-cage induction machines have been used for small scale power generation. For medium and large wind turbines (WTs), the doubly-fed induction generator (DFIG) is currently the dominant technology while permanent magnet (PM), switched reluctance and high temperature superconducting generators are all extensively researched and developed over the years. In this paper, the topologies and features of these machines are discussed with special attention given to their practical considerations involved in the design, control and operation. It is hoped that this paper provides quick reference guidelines for developing wind turbine generation systems.
The establishment of sensor systems has elated recompenses such as measurement in flammable and explosive atmospheres, resistance to electrical noises, trimness, geometrical suppleness, measurement of slight sample volumes, remote sensing in unreachable sites or harsh atmospheres and multi-sensing. Biosensors are logical devices composed of a recognition component of biological origin and a physico-chemical transducer. Immobilization plays a foremost character in developing the biosensor by incorporating both the above mentioned mechanisms. In this paper, the real world applications pertaining the analysis of fiber optic sensors and biosensors for environmental and clinical monitoring have been reviewed.
Get the best tips, tricks, apps, and life hacks from the closing session of ABA TECHSHOW 2017.
Wisdom provided by:
Adam Camras, LegalTalkNetwork
Ivan Hemmans, O’Melveny & Myers LLP
Jack Newton, Clio
Deborah Savadra, Legal Office Guru
Rochelle Washington, DC Bar
Fog computing has emerged as a new paradigm for architecting IoT applications that require greater scalability, performance and security. This talk will motivate the need to Fog Computing and explain what it is and how it differs from other initiatives in Telco such as Mobile/Multiple-Access Edge Computing.
The Marketer's Guide To Customer InterviewsGood Funnel
A step-by-step guide on how to doing customer interviews that reveal revenue-boosting insights. This deck is made exclusively for marketers & copywriters.
Social Media And Ethical Concerns For Healthcare Professionals Marie Ennis-O'Connor
While social media use in healthcare has the potential to bring value to patient-provider relationships, it is not without its ethical and professional challenges. This presentation looks at those challenges and suggests ways to deal with them.
StackStrom: If-This-Than-That for Devops AutomationDmitri Zimine
Slides for my talk at Scale15x: https://www.socallinuxexpo.org/scale/15x/presentations/stackstorm-if-devops-automation
Devops automation, open-source,
Demo was at the core of the talk, the video is at https://youtu.be/3TjhBGshvvY?t=3h31m5s
SingularityU London Chapter Reunion and Launch EventMitesh Soni
Alumni and Friends inaugural chapter launch event. Kick off to meet and discuss the objectives of the chapter, rekindle the network and consider next steps for the chapter with input
Groundwater quality of south India is depending on climate condition and bedrock geology but may also be impacted by pollution, particularly from industrial sources and agricultural activity. In the current study, 15 groundwater samples were collected from different locations in the Kinathukkadavu Taluk, Coimbatore to assess water quality for drinking as well as for irrigation purpose by analyzing the major cations (Ca2+, Mg2+, Na+ and K+) and anions (Cl-, NO3-, SO42- and F-) besides some physical and chemical parameters (pH, total hardness, electrical conductivity and total alkalinity). Statistical analysis like correlation, R- mode factor and cluster analysis were performed for demarcate the association of hydro geochemical parameters. Also groundwater quality mapping was developed using geographic information system.
Extending the longevity, is a significant job to be accomplished by these sensor networks. The traditional routing protocols could not be applied here, due to its nodes powered by batteries. Nodes are often clustered in to non-overlapping clusters, so as to provide energy efficiency. A concise overview on clustering processes, within wireless sensor networks is given in this paper. But it is difficult to replace the deceased batteries of the sensor nodes. A distinctive sensor node consumes much of its energy during wireless communication. This research work suggests the development of a hierarchical distributed clustering mechanism, which gives improved performance over the existing clustering algorithm LEACH. The two hiding concepts behind the proposed scheme are the hierarchical distributed clustering mechanism and the concept of threshold. Energy utilization is significantly reduced, thereby greatly prolonging the lifetime of the sensor nodes.
Wind energy is playing a critical role in the establishment of an environmentally sustainable low carbon economy. This paper presents an overview of wind turbine generator technologies and compares their advantages and drawbacks used for wind energy utilization. Traditionally, DC machines, synchronous machines and squirrel-cage induction machines have been used for small scale power generation. For medium and large wind turbines (WTs), the doubly-fed induction generator (DFIG) is currently the dominant technology while permanent magnet (PM), switched reluctance and high temperature superconducting generators are all extensively researched and developed over the years. In this paper, the topologies and features of these machines are discussed with special attention given to their practical considerations involved in the design, control and operation. It is hoped that this paper provides quick reference guidelines for developing wind turbine generation systems.
The establishment of sensor systems has elated recompenses such as measurement in flammable and explosive atmospheres, resistance to electrical noises, trimness, geometrical suppleness, measurement of slight sample volumes, remote sensing in unreachable sites or harsh atmospheres and multi-sensing. Biosensors are logical devices composed of a recognition component of biological origin and a physico-chemical transducer. Immobilization plays a foremost character in developing the biosensor by incorporating both the above mentioned mechanisms. In this paper, the real world applications pertaining the analysis of fiber optic sensors and biosensors for environmental and clinical monitoring have been reviewed.
Get the best tips, tricks, apps, and life hacks from the closing session of ABA TECHSHOW 2017.
Wisdom provided by:
Adam Camras, LegalTalkNetwork
Ivan Hemmans, O’Melveny & Myers LLP
Jack Newton, Clio
Deborah Savadra, Legal Office Guru
Rochelle Washington, DC Bar
Fog computing has emerged as a new paradigm for architecting IoT applications that require greater scalability, performance and security. This talk will motivate the need to Fog Computing and explain what it is and how it differs from other initiatives in Telco such as Mobile/Multiple-Access Edge Computing.
The Marketer's Guide To Customer InterviewsGood Funnel
A step-by-step guide on how to doing customer interviews that reveal revenue-boosting insights. This deck is made exclusively for marketers & copywriters.
Social Media And Ethical Concerns For Healthcare Professionals Marie Ennis-O'Connor
While social media use in healthcare has the potential to bring value to patient-provider relationships, it is not without its ethical and professional challenges. This presentation looks at those challenges and suggests ways to deal with them.
StackStrom: If-This-Than-That for Devops AutomationDmitri Zimine
Slides for my talk at Scale15x: https://www.socallinuxexpo.org/scale/15x/presentations/stackstorm-if-devops-automation
Devops automation, open-source,
Demo was at the core of the talk, the video is at https://youtu.be/3TjhBGshvvY?t=3h31m5s
SingularityU London Chapter Reunion and Launch EventMitesh Soni
Alumni and Friends inaugural chapter launch event. Kick off to meet and discuss the objectives of the chapter, rekindle the network and consider next steps for the chapter with input
This presentation was given by Michael Lauruhn of Elsevier Labs during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.
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
Slides | Research data literacy and the libraryLibrary_Connect
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Christian Lauersen, Sarah J. Wright and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
Collaborative Knowledge Management in Organization from SECI model FrameworkNatapone Charsombut
A presentation file for TIIM conference 2010 Pattaya Thailand,
ABSTRACT
In the age of social collaboration and sharing that enables by Web 2.0 and Linked Data, many organizations adapt themselves into advantages of interactive, sharing, reusing, interoperability and collaboration on World Wide Web. Organizational learning which is sub of knowledge management also greatly gains benefit from this emerging collaboration culture too. It provides abilities to share valuable insights, to reduce redundant work, to avoid reinventing the wheel, to reduce training time for new employees, to retain intellectual capital as employee turnover in an organization, and to adapt to changing environments and markets.
However, user created content from Web 2.0 multiplying with published structure of data according to Linked Data concept will be a massive amount of data. It is inevitable facing the overwhelming of data. Traditional knowledge management is not designed to extract knowledge from social collaboration. We need a framework that fit for knowledge transfer in highly interaction environment.
SECI model which is a knowledge management based on collaborative knowledge transfer in organization seem to be the best candidate for navigating knowledge creation in this case. This study attempts to address how to apply SECI model to knowledge management system in collaborative organization.
Preprint of article in ALISS Quarterly, Volume 8, No 3, April 2013. Special Issue: Supporting the new research environment. http://alissnet.org.uk/aliss-quarterly/
The Social Semantic Server - A Flexible Framework to Support Informal Learnin...Sebastian Dennerlein
Introduction: Scaling Informal Workplace Learning
System Design: Designing a flexible framework for informal workplace learning
Theoretical Underpinning
Design Principles
System Implementation: SOA for a Hybrid Knowledge Representation
Software Architecture
Services
Applications: B&P, KnowBrain & Bookmarker/ Attacher
Conclusion on the Support of Informal Learning
Future Work: Next Steps & What else can be achieve by the SSS?
'Using Linked Data in Learning Analytics' is a tutorial targeting researchers in Learning Analytics interested in exploiting linked data resources, developers of Learning Analytics solutions that could benefit from Linked Data and data owners wanting to understand how linked data can help the analysis of their data in relation to other sources of information. The tutorial is described in more details at http://linkedu.eu/event/lak2013-linkeddata-tutorial/, where learning material related to the topic of the tutorial will also be disseminated.
http://portal.ou.nl/documents/363049/033208ab-9dba-43be-b1d8-80d6423c0654
http://creativecommons.org/licenses/by-nc-sa/3.0/
d'Aquin, M., Dietze, S., Herder, E., Drachsler, H. (Eds.) (2013). Tutorial: Using Linked Data in Learning Analytics. Tutorial given at LAK 2013, the Third Conference on Learning Analytics and Knowledge. Leuven, Belgium.
The IMLS-funded project Linked Data for Professional Education (LD4PE) has created a "Competency Index for Linked Data".
The Index provides a concise and readable map of concepts and skills related to the practices and technologies of Linked Data for the benefit of interested learners and their teachers.
The Materials Data Facility: A Distributed Model for the Materials Data Commu...Ben Blaiszik
Presentation given at the UIUC Workshop on Materials Computation: data science and multiscale modeling. Materials Data Facility data publication, discovery, Globus, and associated python and REST interfaces are discussed. Video available soon.
This work presents a data architecture based on semantic web technologies that support to the inclusion of open materials in massive online courses. The framework provides transparent access to RDF data sources for Open Educational Resources stored in OpenCourseWare repositories.
Speaker(s): Nelson Piedra and Edmundo Tovar
Similar to Building Learning Modules around the Competency Index for Linked Data (20)
Introducing the IIIF (International Image Interoperability Framework) APIs and some application cases to the Chinese academic libraries. 介绍国际图象互操作框架(IIIF) 的四个应用程序接口API协议和应用实例。
This presentation will discuss how the structured data, together with the semantically indexed/mined entities in semi-structured and unstructured data, are contributing to researches beyond libraries, especially in digital humanities. It aims to explore the opportunities and strategies to use, reuse, share, and effectively elaborate the smart data -- generated or to be generated -- in libraries.
A Metadata Application Profile for KOS Vocabulary Registries (KOS-AP)Marcia Zeng
Report on the outcomes of the DCMI-NKOS Task Group, which builds on the work done by the NKOS community during the last decade. While we discuss the KOS-AP in the context of KOS registries, the context of microdata should be considered equally important in all aspects.
The state of KOS in the Linked Data movementMarcia Zeng
- The publishing, management, and interoperating of KOS for the Semantic Web.
Content: 1. Value vocabularies in the Linked Data Hub – CKAN The Data Hub
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2b. DCMI Application Profile for KOS Resource
3. Thesaurus data model (ISO 25964) and alignment with SKOS
(presented at ASIS&T 2012 Annual Conference)
FRBR: A Generalized Approach to Dublin Core Application Profiles Marcia Zeng
Inspired by the Scholarly Works Application Profile, a generalized approach for building the domain model of Dublin Core Application Profiles is presented. By Maja Zumer, Marcia Zeng, and Athena Salaba. @DC-2010 Conference. Full paper is in DC-2010 Proceedings.
Application Profiles for Subject DomainsMarcia Zeng
Preliminary discusses why and how application profiles should be build for different subject domains and different vocabulary structures, based on FRSAD model. Presented at the Joint meeting of LLD XG and DCMI Architecture Forum.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
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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.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
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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.
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Building Learning Modules around the Competency Index for Linked Data
1. Building Learning Modules around the
Competency Index for Linked Data
Marcia Lei Zeng,1 Sam Oh,2 Jian Qin,3 Michael Crandall,4 Tom Baker, 5 Wei Fan,6
LD4PE (Linked Data for Professional Educators) Project Team
iConference
Wuhan, China, 2017 March 21-26
Sessions for Interaction
and Engagement (SIE)
1 Kent State University, USA
2 Sungkyunkwan University, South Korea
3 Syracuse University, USA
4 University of Washington, USA
5 Dublin Core Metadata Initiatives (DCMI)
6 Sichuan University, China
2. 3/25/17 LD4PE Project Team
2
Building Learning Modules around the
Competency Index for Linked Data
Teaching about Linked Data (LD)
a full course/workshop
one or two learning modules in a course
Using cases/examples of LD in a course
Will teach something related to LD
Planning to incorporate LD contents into course(s)
Wanting to learn about LD
Why are you here today?
Sessions for Interaction
and Engagement (SIE)
3. Session Schedule
I. Background
LD4PE project
Competency-based education and
training
II. Competency Index for Linked Data (CI)
• Demo: CI’s structure
• Explanation: CI’s contents
• Break-out session #1: Discussion and
Q&A about the CI
Sessions for Interaction
and Engagement (SIE)
3/25/17 LD4PE Project Team
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III. Building Learning Modules Using the Learning
Resources Connected with the Competencies
Demo: Finding related learning resources
Explanation: How a learning resource is
described and mapped to CI
Break-out session #2: Building learning modules
IV. Save, Reuse, and Share
Introduce Tools for
1 “Saved Sets”
2 Resource descriptions
3 “Learning Maps”
Try
Break-out session #3: Summarizing and Reporting
V. Conclusion
4. Part I. Background
• LD4PE project
• Competency-based education and training
3/25/17 LD4PE Project Team
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5. Linked Data for Professional
Educators (LD4PE) Project
Funded by the Institute of Museum and Library Services (IMLS)
December 1, 2014 - November 30, 2017
Led by:
University of Washington, Information School
Kent State University, School of Library & Information Science
Dublin Core Metadata Initiative (DCMI)
Content Partners:
Sungkyunkwan University (Korea)
Access Innovations
Synaptica
Elsevier
OCLC
3/25/17 LD4PE Project Team
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6. LD4PE Products
Competency Index for Linked Data
-- defines a set of assertions (within 30
groups under six categories) of the
knowledge, skills, and habits of mind
required for professional practice in the
area of Linked Data.
Toolkit
-- open, web-based tool set
(1) making Saved Sets
(2) generating metadata describing learning
resources
(3) creation of learning maps expressing
curricular structures or personal learning
journeys superimposed over the competency
framework
Learning Resource Descriptions
-- A set of learning resources
open sources
Described in metadata
being mapped to the competencies
Best practices
• The Explore
Website
3/25/17 LD4PE Project Team
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7. What competencies are expected in Linked
Data related skills and knowledge?
How can these competencies be built into
curricula or course syllabi to assess learning
outcomes?
Is there any trustable learning resource for
Linked Data available on the open Web?
What pedagogies and best practices have
been used in teaching or learning Linked
Data to build competencies?
Questions addressed today
3/25/17 LD4PE Project Team
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8. The LD Competency Index
is developed based on the ASN
Description Language (ASN*-DL) for
describing formally promulgated
competencies and benchmarks.
*The Achievement Standards Network™ (ASN™)
provides access to machine-readable
representations of learning objectives and
curriculum standards.
Competency-based
education and training
3/25/17 LD4PE Project Team
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14. Part II. Competency Index
for Linked Data (CI)
• Demo: CI’s structure
• Explanation: CI’s contents
• Break-out session #1: Discussion and Q&A
3/25/17 LD4PE Project Team
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15. Structure of
The Competency Index for Linked Data (CI)
-- The Competency Index is composed of
a set of topically arranged assertions of
the knowledge, skills, and habits of mind
required for professional practice in the
area of Linked Data.
Topical Cluster » Topic » Competency » Benchmark
3/25/17 LD4PE Project Team
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16. Competency Index
Editorial Board met monthly over
a period of approximately 18
months.
Competencies were proposed
based on:
• Literary Warrant
• Resource Warrant
• Expert Warrant
GitHub was used to track changes
as the Competency Index evolved
Guidelines for stylistic consistency
when writing competencies were
developed
6 Topic Clusters
3/25/17 LD4PE Project Team
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Topical Cluster » Topic » Competency » Benchmark
17. Structure
Topic cluster
Topic
Competency: Tweet-length assertion of knowledge, skill, or habit
of mind
Benchmark: Action demonstrating accomplishment in related
competencies
3/25/17 LD4PE Project Team
17《关联数据能力指标》Competency Index for Linked Data (CI)
Topical Cluster » Topic » Competency » Benchmark
18. Competency Index
Topic
Competency
Topic Cluster
Competency Index full version
available from
http://explore.dublincore.net
Explore
• English (webpage)
• Chinese (PDF)
Benchmark
Benchmark
Competency
Competency
Competency
Benchmark
Benchmark
Competency Index
Structure
30 topic groups
6 clusters
95 competencies
75 benchmarks
3/25/17 LD4PE Project Team
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Topical Cluster » Topic » Competency » Benchmark
19. Break-out session #1. Discussion and Q&A
about the Competency Index for Linked Data
Browse the handouts of the Competency Index for Linked Data
Mark the competencies you feel confident about
Q&A regarding the competencies
E.g., around
the arrangement or grouping,
the indication of core competencies,
additional competencies,
… …
3/25/17 LD4PE Project Team
19
21. Part III. Building Learning Modules
Using the Learning Resources
Connected with the Competencies
• Demo: Finding related learning resources
• Explanation: How a learning resource is described and mapped to CI
• Break-out session 2: Building learning modules
3/25/17 LD4PE Project Team
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22. How are
the
learning
resources
described?
• Move mouse over the
competency can see its
location in the index.
• Resources are Indexed at the
topic and competency Level
500+ openly available
learning resources
[webinars, podcasts,
lectures, web pages,
readings …]
An example
3/25/17 LD4PE Project Team
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24. Demo: Find resources which introduce Linked Data and its potential impact on the Web.
• Start at the top of the hierarchy and
drill down.
• Select a topic cluster, expand the
menu, and
• look through the child options.
1
2
3
The number of resources aligned to this competency are indicated.
25. Clicking on the competency’s text causes related
resources to be displayed on right side of the page.
Descriptions and user ratings help one make decisions
about which resources to investigate further.
4
5
3/25/17 LD4PE Project Team
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26. Resource Description Page
The resource description
page contains additional
metadata and full text of
the description.
From this page, you can
access the resource itself
through the URL.
6
7
3/25/17 LD4PE Project Team
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27. Break-out session #2:
Building learning modules
1) Navigate among the open source learning
materials
2) Select the appropriate ones
3) Write down the issues and tips
4) Form learning modules from them
5) Discussion and Q&A
3/25/17 LD4PE Project Team
27
“If I want to teach”
(think one of them):
• Fundamentals of
Linked Data (2)
• Designing RDF-
based
vocabularies (3.2)
• Querying RDF Data
(5.3)
Let’s try
28. Part IV. Save, Reuse, and
Share
• Introduce Tools for
1 “Saved Sets”
2 Resource descriptions
3 “Learning Maps”
• Try
• Break-out session 3:
Summarizing and Reporting
3/25/17 LD4PE Project Team
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29. 3/25/17 LD4PE Project Team
29
See what
resources are
already selected
and packed by
others
Tool 1, for
“Saved Sets”
http://explore.dublincore.net/explore-learning-
resources-by-competency/all-saved-sets/
30. Saved Sets
3/25/17 LD4PE Project Team
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See what resources are
already selected and
packed by others
31. Create an account, save
materials to your folder.
• Send an email to request
an account.
• Check the email for login
path.
• “Remember Me” checked.
3/25/17 LD4PE Project Team
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How Can I create my set(s)?
32. 3/25/17 LD4PE Project Team
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1
2
3
4
1. Login
2. Find a resource
3. Open the resource
4. Add to Saved Set (new or existing)
Steps
33. 3/25/17
LD4PE Project Team
33
You can add to an
existing set, or define
your new set.
• Title
• Description
• Public or private
4
Step 4. (con.) Add to Saved Set (new or
existing)
34. Step 5. Continue
to add, revise,
move around…
Save
Share your
packages
or
Keep as private
use
3/25/17 LD4PE Project Team
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5
35. Tool 2, for
Resource
Description
Required fields:
• Name
• Description
• Topical Index
• Educational Alignment
• Proficiency Level
• Interactivity Type
• Learning Resource Type
• Educational Audience
3/25/17 LD4PE Project Team
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What about adding a new resource?
http://explore.dublincore.net/rdf/lrmi/#/resource
36. Tool 3, for “Learning Maps”
Traverse the Competency Index and save
relevant competencies in a list.
Allows user to plan a curriculum or a personal
course of study.
The access to resources indexed to each
competency is automatically carried along
with it.
Maps can be saved as private or public to
allow others to view them.
3/25/17 LD4PE Project Team
36Can I sort the competencies
together with materials?
37. Build a Learning Map
3/25/17 LD4PE Project Team
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http://explore.dublincore.net/explore-learning-
resources-by-competency/learning-maps/
Step 1. Go to the “Learning
Maps”
1
http://explore.dublincore.net Explore
39. 3/25/17 LD4PE Project Team
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1. Define a new map
Now you are on the Map Builder page.
Your Map is on the right side.
40. 3/25/17 LD4PE Project Team
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3
3. Select the competency and benchmarks you need
4. Click on “Add to map”, now it is added to your map.
4
Map name &
description
Contents
Contents
Contents
42. Break-out session #3:
Summarizing and Reporting
Group discussion, reporting by a representative
(1) the competency-based learning approach
(2) the coverage of the Competency Index for Linked Data
(3) ideas of teaching and learning Linked Data using these resources and tools
provided by LD4PE
(4) any other take-away
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42
[Possible hands-on opportunity to create an
account, build a saved set, and make a learning
map, depending on the setting up of an account.]
43. How can we keep this going?
• Your participation
• Sharing and reusing
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43
Examples:
• Currently shared “saved sets” and
“maps”
• A Chinese translation of the Competency
Index is shared
• A voluntary team is building a
supplementary site with Chinese
language materials
• A training session had over 150 in
December 2016 in Shanghai
Conclusion
1 Kent State University, USA
2 Sungkyunkwan University, South Korea
3 Syracuse University, USA4 University of Washington, USA
5 Dublin Core Metadata Initiatives (DCMI)
6 Sichuan University, China
Asn.jesandco.org
http://asn.jesandco.org/resources/D2527589
Discussion and Q&A about the Competency Index for Linked Data (10 minutes)
The handouts of the established Competency Index for Linked Data will be provided. Each participant will have a quick look at the competencies and mark the competencies he/she feels confident about. Then the Q&A will be open to gather questions regarding the competencies. Discussions will be welcome around the issues such as the arrangement or grouping, the indication of core competencies, additional competencies, etc.
Discussion and Q&A about the Competency Index for Linked Data (10 minutes)
The handouts of the established Competency Index for Linked Data will be provided. Each participant will have a quick look at the competencies and mark the competencies he/she feels confident about. Then the Q&A will be open to gather questions regarding the competencies. Discussions will be welcome around the issues such as the arrangement or grouping, the indication of core competencies, additional competencies, etc.
Participants will form small groups to begin developing modules focused on specific areas of Linked Data. They will navigate among the open source learning materials already aligned with the competencies by LD4PE team, select the appropriate ones, write down the issues and tips, and form learning modules from them. Each learning module will include the learning outcomes, resources recommended (in order), additional resources available for further learning, and related competencies. Q&A and discussions can occur during the session, based on need.
Participants will form small groups to begin developing modules focused on specific areas of Linked Data. They will navigate among the open source learning materials already aligned with the competencies by LD4PE team, select the appropriate ones, write down the issues and tips, and form learning modules from them. Each learning module will include the learning outcomes, resources recommended (in order), additional resources available for further learning, and related competencies. Q&A and discussions can occur during the session, based on need.
Making Saved Set (15 minutes)
The participants will be introduced to the Saved Set function, which allows a user to save the selected learning resources into one’s own Saved Set, while exploring how others compiled their sets. Q&A and discussions can occur during the session, based on need. These Saved Sets may be made public for others to use through the LD4PE website after the workshop.
Summarizing and Reporting (15 minutes)
The participants will summarize the major points regarding: (1) the competency-based learning approach; (2) the coverage of the Competency Index for Linked Data; and (3) ideas of teaching and learning Linked Data using these resources and tools provided by LD4PE. Each group is expected to give one short report.
3.5 Breakout session C. Summarizing and Reporting (15 minutes)
The participants will summarize the major points regarding: (1) the competency-based learning approach; (2) the coverage of the Competency Index for Linked Data; and (3) ideas of teaching and learning Linked Data using these resources and tools provided by LD4PE. Each group is expected to give one short report.
General questions about participation? Contact Michael Crandall, LD4PE Project PI
Questions about participation in creation/assessment of the Linked Data competencies? Contact Tom Baker, Chair, Competency Index Editorial Board
Questions about participating in learning resource discovery and description? Contact either Sean Dolan or Marcia Zeng
Questions about participating in the project’s technical implementation? Contact Stuart Sutton