Presentation given at Learning Analytics Summer Institute 2013. Theories of learning postulate multiple agencies (individual, small group, and collective) and epistemologies e.g., acquisition, intersubjective meaning making, participation). Though we may research these separately, learners experience all of these at once, so learning is a complex phenomenon. Need to connect levels of analysis. Also need to bring in multiple "voices" or theoretical and research traditions, and learn how to manage productive multivocality among them. Two efforts towards this end are briefly described. If it takes on these challenges, Learning Analytics can help by enabling us to manage multiple levels of analysis.
The research proposes a conceptual model for designing a people-finding system in a learning environment. The system is intended to help learner in getting recommendation about suitable people who are interested on a similar topic and share common interest with the learner. We propose that by using the user-generated (text) content, social-bookmarking and social-tagging, driven by Web 2.0 paradigms, we can implicitly profile people and find people’s interests on a given topic. We also like to use their existing social connections as an evidence to select suitable people in recommending a learner.
The Research Data Alliance: Creating the culture and technology for an intern...Research Data Alliance
All of society’s grand challenges -- be it addressing rapid climate change, curing cancer and other disease, providing food and water for more than seven billion people, understanding the origins of the universe or the mind -- all of them require diverse and sometimes very large data to to be shared and integrated across cultures, scales, and technologies. This requires a new form and new conception of infrastructure. The Research Data Alliance (RDA) is creating and implementing this new data infrastructure. It is building the connections that make data work across social and technical barriers.
RDA launched in March 2013 as a international alliance of researchers, data scientists, and organizations to build these connections and infrastructure to accelerate data-driven innovation. RDA facilitates research data sharing, use, re-use, discoverability, and standards harmonization through the development and adoption of technologies, policy, practice, standards, and other deliverables. We do this through focussed Working Groups, exploratory Interest Groups, and a broad, committed membership of individuals and organizations dedicated to improving data exchange.
I also discuss some early ideas on building community and connecting like minded organizations at different scales.
The research proposes a conceptual model for designing a people-finding system in a learning environment. The system is intended to help learner in getting recommendation about suitable people who are interested on a similar topic and share common interest with the learner. We propose that by using the user-generated (text) content, social-bookmarking and social-tagging, driven by Web 2.0 paradigms, we can implicitly profile people and find people’s interests on a given topic. We also like to use their existing social connections as an evidence to select suitable people in recommending a learner.
The Research Data Alliance: Creating the culture and technology for an intern...Research Data Alliance
All of society’s grand challenges -- be it addressing rapid climate change, curing cancer and other disease, providing food and water for more than seven billion people, understanding the origins of the universe or the mind -- all of them require diverse and sometimes very large data to to be shared and integrated across cultures, scales, and technologies. This requires a new form and new conception of infrastructure. The Research Data Alliance (RDA) is creating and implementing this new data infrastructure. It is building the connections that make data work across social and technical barriers.
RDA launched in March 2013 as a international alliance of researchers, data scientists, and organizations to build these connections and infrastructure to accelerate data-driven innovation. RDA facilitates research data sharing, use, re-use, discoverability, and standards harmonization through the development and adoption of technologies, policy, practice, standards, and other deliverables. We do this through focussed Working Groups, exploratory Interest Groups, and a broad, committed membership of individuals and organizations dedicated to improving data exchange.
I also discuss some early ideas on building community and connecting like minded organizations at different scales.
Slides from a presentation I gave to the BYU Computer Science faculty and research students in March, 2012. Summarizes my own work on Technology-Mediated Social Participation. Follow hyperlinks on images to get to various papers (in second half of presentation).
Presented at Kean University Research Days April 2019: The use of social media information to examine and model student's civic engagement. Trans-disciplinary effort of Kean Faculty.
Network of Excellence in Internet Science (JRA4, Governance, Regulation & Sta...i_scienceEU
The Network of Excellence in Internet Science aims to achieve a deeper multidisciplinary understanding of the Internet as a societal and technological artefact.
More information: http://internet-science.eu/
Twitter: @i_scienceEU
Living Archives: Undergraduates Need Content with Historical Investigation, Nuance, and Guidance as a Reality Check (“LAUNCHING” a Reality Check)
This workshop offered a self-organizing template to guide potential for, and outcomes associated with, the use of archival and primary source materials using historical contexts in course content, practicum, and research projects...
LAK2011: 1st International Conference on Learning Analytics and Knowledge February 27-March 1, 2011
Banff, Alberta
Anna De Liddo, Simon Buckingham Shum,
Ivana Quinto, Michelle Bachler, Lorella Cannavacciuolo
Presentation at the New Zealand Association of Gerontology conference in 2014. Focus on the utility of spatial and visual methods in ageing science and policy domains.
This is the presentation of the Juan Cruz-Benito’s PhD “On data-driven systems analyzing, supporting and enhancing users’ interaction and experience” that was defended on September 3rd, 2018 in the Faculty of Sciences at University of Salamanca Spain. This PhD was graded with the maximum qualification “Sobresaliente Cum Laude”.
Technology has changed the way we do business, but sadly our classrooms and corporate training rooms still look the same. Tech savvy students want to access info when they want it and in a format that they want. Create a learning culture by loading up with co-created content that can be delivered in Byte-Sized Pieces!
Slides from a presentation I gave to the BYU Computer Science faculty and research students in March, 2012. Summarizes my own work on Technology-Mediated Social Participation. Follow hyperlinks on images to get to various papers (in second half of presentation).
Presented at Kean University Research Days April 2019: The use of social media information to examine and model student's civic engagement. Trans-disciplinary effort of Kean Faculty.
Network of Excellence in Internet Science (JRA4, Governance, Regulation & Sta...i_scienceEU
The Network of Excellence in Internet Science aims to achieve a deeper multidisciplinary understanding of the Internet as a societal and technological artefact.
More information: http://internet-science.eu/
Twitter: @i_scienceEU
Living Archives: Undergraduates Need Content with Historical Investigation, Nuance, and Guidance as a Reality Check (“LAUNCHING” a Reality Check)
This workshop offered a self-organizing template to guide potential for, and outcomes associated with, the use of archival and primary source materials using historical contexts in course content, practicum, and research projects...
LAK2011: 1st International Conference on Learning Analytics and Knowledge February 27-March 1, 2011
Banff, Alberta
Anna De Liddo, Simon Buckingham Shum,
Ivana Quinto, Michelle Bachler, Lorella Cannavacciuolo
Presentation at the New Zealand Association of Gerontology conference in 2014. Focus on the utility of spatial and visual methods in ageing science and policy domains.
This is the presentation of the Juan Cruz-Benito’s PhD “On data-driven systems analyzing, supporting and enhancing users’ interaction and experience” that was defended on September 3rd, 2018 in the Faculty of Sciences at University of Salamanca Spain. This PhD was graded with the maximum qualification “Sobresaliente Cum Laude”.
Technology has changed the way we do business, but sadly our classrooms and corporate training rooms still look the same. Tech savvy students want to access info when they want it and in a format that they want. Create a learning culture by loading up with co-created content that can be delivered in Byte-Sized Pieces!
A proficiency model for creating instructional design objectives and to empower students in their own learning. It is a hybrid model based on principles from Csikszentmihalyi’s concept of ‘Flow’. This model has four basic +1 stages: unlearned, basic familiarity, practiced proficiency, mastery, and reflective competence.
Learning Analytics (or: The Data Tsunami Hits Higher Education)Simon Buckingham Shum
Keynote Address to The Impact of Higher Education: Addressing the Challenges of the 21st CenturyEuropean Association for Institutional Research (EAIR) 35th Annual Forum 2013, Erasmus University, Rotterdam, the Netherlands, 28-31 August 2013. http://www.eair.nl/forum/rotterdam
Learning design meets learning analytics: Dr Bart Rienties, Open UniversityBart Rienties
8th UK Learning Analytics Network Meeting, The Open University, 2nd November 2016
1) The power of 151 Learning Designs on 113K+ students at the OU?
2) How can we use learning design to empower teachers?
3) How can Early Alert Systems improve Student Engagement and Academic Success? (Amara Atif, Macquarie University)
4) What evidence is there that learning design makes a difference over time and how students engage?
Multidisciplinarity vs. Multivocality, the case of “Learning Analytics"Nicolas Balacheff
In this communication presented at LAK2013 (Leuven), we consider an analysis of the TeLearn archive, of the Grand Challenges from the STELLAR Network of Excellence, of two Alpine Rendez-Vous 2011 workshops and research conducted in the Productive Multivocality initiative in order to discuss the notions of multidisciplinarity, multivocality and interidisciplinarity. We use this discussion as a springboard for addressing the term “Learning Analytics” and its relation to “Educational Data Mining”. Our goal is to launch a debate pertaining to what extent the different disciplines involved in the TEL community can be integrated on methodological and theoretical levels.
Keynote Talk at ITS 2014: Multilevel Analysis of Socially Embedded Learningsuthers
An invited keynote talk given at the Intelligent Tutoring Systems (ITS) conference in Honolulu, 2014. Begins with some fun observations about being an academic in Hawaii. Motivated both by my early work studying dyadic interaction with Belvedere and a theoretical view of the multi-dimensionality of distributed learning in socio-technical networks and consequent analytic challenges, outlines a framework called "Traces" that addresses these challenges. Most of the examples are of analysis of Tapped In, a successful online network of educational professionals from 1997-2013. Probably the most comprehensive overview of my research to date.
JISC RSC London Workshop - Learner analyticsJames Ballard
Introduction to learning analytics and approaches to learner engagement to raise awareness and set the seen for upcoming projects and advice for supported learning providers.
A Framework for Multi-Level Analysis of Distributed Interactionsuthers
Interaction, Mediation, and Ties: A Framework for Multi-Level Analysis of Distributed Interaction (presented at the workshop on Connecting Levels and Methods of Analysis in Networked Communities at the Learning Analytics and Knowledge Conference 2012, Vancouver)
Social and Cognitive Presence in Virtual Learning Environments Terry Anderson
Reviews and speculates on further development of the Community of Inquiry model (communitiesofinquiry.com) developed in Alberta by Randy Garrison, Terry Anderson, Walter Archer and Liam Rourke. This project developed theory and tools to measure teaching, cognitive and social presence in online environments
Education and Technology Partnerships as Intercultural Communities: An Ethnog...CITE
CITERS2014 - Learning without Limits?
http://citers2014.cite.hku.hk/program-overview/keynote-green/
13 June 2014 (Friday)
09:10 – 10:00
Keynote 1: Education and Technology Partnerships as Intercultural Communities: An Ethnographic Perspective
Speaker: Professor Judith GREEN (Department of Education, University of California, Santa Barbara)
Chair: Dr. Susan BRIDGES (Associate Professor, Faculty of Education, HKU)
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
"Protectable subject matters, Protection in biotechnology, Protection of othe...
Learning as a Complex Phenomenon: Challenges for Learning Analytics
1. Supported by the National Science Foundation
Challenges for
Learning Analytics
Dan Suthers
University of Hawaii
Learning as a
Complex
Phenomenon:
2. Learning in Socio-Technical Networks
Agency
Who or what is the agent
that learns?
Individual
Small groups
Networks (communities,
cultures, societies)
Epistemologies
What is the process of
learning?
Acquisition
Intersubjective meaning-
making
Change in Participation
The correspondence is not strict, and analysis can be
applied from local to network levels
How do socio-technical settings foster learning?
Based on Suthers (ijCSCL 2006)
3. Examples
Individual Epistemologies
Learning as acquisition of information, knowledge or skills
– Local: contribution theory, equilibration, given/new
(epistemological gradients in explanation), practice, etc.
– Network: strength of weak ties, diffusion theories (contagion
theory, diffusion of innovations)
Intersubjective epistemologies
Learning as intersubjective meaning-making
– Local: argumentation, co-construction, group cognition
– Network: Knowledge building, communities of scientists
Participatory epistemologies
Learning as changes in social participation and identity
– Local: apprenticeship, mentoring ...
– Network: Legitimate Peripheral Participation in a CoP
4. Challenges for Learning Analytics
Claim: individuals participate in the foregoing forms of
learning simultaneously
Challenge to rise above one-dimensional analytics:
How does learning (enhancements of knowledge,
skills, and cultural capital) take place through the
interplay between individual and collective agency in
socio-technical networks?
Demands analyses that connect learning activity in
specific times and places with the larger socio-
technical network contexts in which they take place
Will require coordinating multiple analytic methods
(and their traditions)
5. Traces* Analytic Hierarchy
Activity is distributed across media:
– Traces of activity are fragmented across multiple logs,
breaking up participants’ singular experience
– Reunite traces of interaction into a unified analytic artifact
Logs may record activity in the wrong ontology:
– Abstract event data to other appropriate levels of description
Behavior is contingent on the resources of the setting
in diverse ways, and setting may be non-local in time
and space
– Sequential interaction analysis and aggregate network
analysis are complementary
– Enable mapping between these descriptions both ways
Suthers (HICSS 2011), Suthers & Rosen (LAK 2011),
* “Traces” NSF VOSS project
7. Productive Multi-Vocality Project
Learning sciences are diverse: how to bring multiple
analytic “voices” into productive dialogue to provide
some coherence?
Sharing/comparing approaches to analyzing
collaborative learning
– 5+ years, 37+ researchers, 5 corpora, 1 book!
– Shift from technical focus (shared tools) to social/dialogical
focus (productive multivocality) between epistemologies as
well as theories
PMV ≠ mixed methods:
– Multiple voices (agency)
– Productive tensions in addition to harmonious use
Suthers, Lund, Rosé, Dyke, Law, Teplovs, et al. (CSCL 2011)
8. Strategies for Productive Multivocality
Dialogue about the same data, from different
perspectives
– Issues in agreement on what data is worth considering
Share an analytic objective (e.g., “pivotal moments”)
– Vague, so interpretable by each tradition (boundary object)
Bring analytic representations into alignment with
each other and the original data
– Good tools help
Eliminate inconsequential differences and Iterate
– Focus on more essential differences and convergences
Push the boundaries of traditions without betraying
Issues: appropriateness of data; extensions of concepts
Reflect on Practice: dialogue about methods as
object-constituting, evidence-producing and argument-
sustaining tools
9. Summary:
Challenges for Learning Analytics
Learning in socio-technical settings involves
multiple agencies and processes
➠ Requires analysis across 'local' and 'network'
'levels' (Traces project)
➠ Requires coordination of diverse disciplinary
traditions (Productive Multivocality Project)
Learning Analytics can help us understand and
manage learning in its full complexity
Thank You / Mahalo / Danke / Merci / Domo Arigato / Xie Xie / G’Day
Dan Suthers, Suthers@hawaii.edu
Supported by the National Science Foundation and many colleagues