Keynote given at the 21st International Conference on Computers in Education, Bali 2013. Summarizes Trends in Technology relevant for Education and Learning as also their potential impact and application for awareness, curiosity
Visual Learning Pulse - Final Thesis presentationDaniele Di Mitri
The final presentation of the master thesis project Visual Learning Pulse: Flow Prediction and Feedback in Self-Regulated Learning, a project collaboration between the Department of Data Science and Knowledge Engineering of the Univeristy of Maastricht and the Welten Institute of the Open University in the Netherlands.
TITLE:
Visual Learning Pulse: Flow Prediction and Feedback in Self-regulated Learning
ABSTRACT:
Visual Learning Pulse is a Master thesis research project developed in cooperation with the Welten Institute, the Research Centre for Learning, Teaching and Technology at the Open University of the Netherlands, and partially nanced by the European project Learning Analytics Community Exchange (LACE). Visual Learning Pulse explores whether physiological and physical data such as heart rate, step count and weather data if correlated with learning activity data can be used to predict learning success in self-regulated learning settings.
To verify this hypothesis an experiment was opportunely designed, consisting of three phases, lasting six weeks and involving nine participants, each of them wearing a Fitbit HR wrist band and having their application usage recorded during their learning and working activities throughout the day. An ad-hoc infrastructure for longitudinal and multi-modal data was designed and implemented. The data from dierent sources were stored using the Experience API (xAPI) data standard in a cloud distributed database called Learning Record Store.
The participants (doctoral students at the Open Universiteit) - were asked to rate their learning experience through an Activity Rating Tool indicating their perceived level of productivity, stress, challenge and abilities. These self-reported performance indicators were used as training labels for the two algorithms employed for prediction of time series data: the Vector Autoregression and Linear Mixed Eect Model.
A major task of the thesis consisted of developing the software application to pre-process, perform the analysis and generate the predictions on real time, in order to provide timely feedback to the users about their learning performances. Although not showing high overall accuracy, the prediction models were successfully learnt and used in production: in the third phase of the experiment, two visualisations mechanisms were used, the Learner Dashboard and the Feedback Cubes.
In addition, a conceptual paper of Visual Learning Pulse, illustrating setup and overall the rationale was presented at the Learning Analytics & Knowledge conference 2016 in Edinburgh, Scotland and was included in CEUR workshop proceedings.
F. Questier, (Disruptive) innovations: education and society, lecture for Chinese Summerschool 'European languages, culture and educational systems', Vrije Universiteit Brussel, 07/07/2014
Keynote presentation at the eLearning conference in Belgrade, 26.-27. September. Presentation was prepared together with Marcus Specht and covers trends and developments in technology enhanced learning.
Visual Learning Pulse - Final Thesis presentationDaniele Di Mitri
The final presentation of the master thesis project Visual Learning Pulse: Flow Prediction and Feedback in Self-Regulated Learning, a project collaboration between the Department of Data Science and Knowledge Engineering of the Univeristy of Maastricht and the Welten Institute of the Open University in the Netherlands.
TITLE:
Visual Learning Pulse: Flow Prediction and Feedback in Self-regulated Learning
ABSTRACT:
Visual Learning Pulse is a Master thesis research project developed in cooperation with the Welten Institute, the Research Centre for Learning, Teaching and Technology at the Open University of the Netherlands, and partially nanced by the European project Learning Analytics Community Exchange (LACE). Visual Learning Pulse explores whether physiological and physical data such as heart rate, step count and weather data if correlated with learning activity data can be used to predict learning success in self-regulated learning settings.
To verify this hypothesis an experiment was opportunely designed, consisting of three phases, lasting six weeks and involving nine participants, each of them wearing a Fitbit HR wrist band and having their application usage recorded during their learning and working activities throughout the day. An ad-hoc infrastructure for longitudinal and multi-modal data was designed and implemented. The data from dierent sources were stored using the Experience API (xAPI) data standard in a cloud distributed database called Learning Record Store.
The participants (doctoral students at the Open Universiteit) - were asked to rate their learning experience through an Activity Rating Tool indicating their perceived level of productivity, stress, challenge and abilities. These self-reported performance indicators were used as training labels for the two algorithms employed for prediction of time series data: the Vector Autoregression and Linear Mixed Eect Model.
A major task of the thesis consisted of developing the software application to pre-process, perform the analysis and generate the predictions on real time, in order to provide timely feedback to the users about their learning performances. Although not showing high overall accuracy, the prediction models were successfully learnt and used in production: in the third phase of the experiment, two visualisations mechanisms were used, the Learner Dashboard and the Feedback Cubes.
In addition, a conceptual paper of Visual Learning Pulse, illustrating setup and overall the rationale was presented at the Learning Analytics & Knowledge conference 2016 in Edinburgh, Scotland and was included in CEUR workshop proceedings.
F. Questier, (Disruptive) innovations: education and society, lecture for Chinese Summerschool 'European languages, culture and educational systems', Vrije Universiteit Brussel, 07/07/2014
Keynote presentation at the eLearning conference in Belgrade, 26.-27. September. Presentation was prepared together with Marcus Specht and covers trends and developments in technology enhanced learning.
learning in a networked world: the role of social media and augmented learning.
Keynote presentation to the New Educator Program Hedley Beare Centre for Teaching and Learning 23-25 August 2011
Webinar: Learning Informatics Lab, University of Minnesota
Replay the talk: https://youtu.be/dcJZeDIMr2I
Learning Informatics
AI • Analytics • Accountability • Agency
Simon Buckingham Shum
Professor of Learning Informatics
Director, Connected Intelligence Centre
University of Technology Sydney
Abstract:
“Health Informatics”. “Urban Informatics”. “Social Informatics”. Informatics offers systemic ways of analyzing and designing the interaction of natural and artificial information processing systems. In the context of education, I will describe some Learning Informatics lenses and practices which we have developed for co-designing analytics and AI with educators and students. We have a particular focus on closing the feedback loop to equip learners with competencies to navigate a complex, uncertain future, such as critical thinking, professional reflection and teamwork. En route, we will touch on how we build educators’ trust in novel tools, our design philosophy of “embracing imperfection” in machine intelligence, and the ways that these infrastructures embody values. Speaking from the perspective of leading an institutional innovation centre in learning analytics, I hope that our experiences spark productive reflection around as the UMN Learning Informatics Lab builds its program.
Biography:
Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, where he serves as inaugural director of the Connected Intelligence Centre. CIC is a transdisciplinary innovation centre, using analytics to provide new insights for university teams, with particular expertise in educational data science. Simon’s career-long fascination with software’s ability to make thinking visible has seen him active in communities including Computer-Supported Cooperative Work, Hypertext, Design Rationale, Scholarly Publishing, Semantic Web, Computational Argumentation, Educational Technology and Learning Analytics. The challenge of visualizing contested knowledge has produced several books: Visualizing Argumentation, Knowledge Cartography, and Constructing Knowledge Art. He has been active over the last decade in shaping the field of Learning Analytics, co-founding the Society for Learning Analytics Research, and catalyzing several strands: Social Learning Analytics, Discourse Analytics, Dispositional Analytics and Writing Analytics. http://Simon.BuckinghamShum.net
Guest Lecture: Restoring Context in Distance Learning with Artificial Intelli...Daniele Di Mitri
Presentation given on the February 1st, 2022 at the "Brown Bag" presentation series organised by the Faculty of NYU Educational Communication and Technology which is part of the Steinhardt School of Culture, Education, and Human Development.
https://www.ectstudent.info/news-events/brown-bag-dr-daniele-di-mitri
Presentation Abstract:
The COVID-19 pandemic forced more than 1.6 billion learners out of school, becoming the most challenging disruption ever endured by the global education systems. In many countries, education institutions decided to move their regular activities online, opting for remote teaching as an emergency solution to continue their education. Meanwhile, physical distancing and learning in isolation heavily challenge learners and hinder their study success. There is a compelling need to make education systems more resilient and less vulnerable to future disruptions in such a critical landscape. In particular, we have to reconsider how digital technologies can support online and hybrid teaching. If digital education technologies such as video conferencing tools and learning management systems have improved to make educational resources more available and education more flexible, the modes of interaction they implement remain essentially unnatural for the learner due to a substantial lack of context. Modern sensor-enabled computer systems allow extending the standard human-computer interfaces and facilitate richer multimodal interaction. Furthermore, advances in AI allow interpreting the data collected from multimodal and multi-sensor devices. These insights can be used to support online teaching and learning in isolation with personalised feedback and adaptation through Multimodal Learning Experiences (MLX). This guest lecture elaborates on existing approaches, architectures, and methodologies. I illustrate use cases that employ multimodal learning analytics applications that can shape the online teaching of the future.
Educational Futures: personalisation, privatisation and privacy debbieholley1
Educational Futures: personalisation, privatisation and privacy
In this presentation, Professor Debbie Holley reflects on the digital solutions proposed to scale and solve our digital educational requirements of the future. What are the challenges and opportunities afforded by technologies, and who will benefit and how? In a time where education becoming increasingly commercialised, what are the changing balances between public and private funding, the requirements for a different set of workforce skills, and the needs of those wishing to access education? The recent pandemic has resulted in rapid change and innovation, and the contested role of where learning will take place is receiving unprecedented attention.
EdTech World Forum 2022
In this presentation, Professor Debbie Holley reflects on the digital solutions proposed to scale and solve our digital educational requirements of the future. What are the challenges and opportunities afforded by technologies, and who will benefit and how? In a time where education becoming increasingly commercialised, what are the changing balances between public and private funding, the requirements for a different set of workforce skills, and the needs of those wishing to access education? The recent pandemic has resulted in rapid change and innovation, and the contested role of where learning will take place is receiving unprecedented attention.
From a SOCITM Meeting June 2014 (Society of Information Technology Managers). A 10 minute presentation on how ICT in Learning is developing, a few requirements to provide the right infrastructure to support essential technology rich learning environments and how a vision and framework can support this.
Building a community of edupreneurs in learning technologies. Keynote presentation at Future Learning Lab, University of Adger, Kristiansand, Norway by Martha G Russell, Executive Director, mediaX at Stanford University.
Short paper presentation at the The 1st International Digital Libraries for Musicology workshop (DLfM 2014) 12TH SEPTEMBER 2014 (FULL DAY), LONDON, UK in conjunction with the ACM/IEEE Digital Libraries conference 2014.
INSPIRE: A new learning centre, a new learning environment. Presentation to the 3rd Annual Learning Space Design Summit, 23 November 2012, Sydney AUSTRALIA
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
learning in a networked world: the role of social media and augmented learning.
Keynote presentation to the New Educator Program Hedley Beare Centre for Teaching and Learning 23-25 August 2011
Webinar: Learning Informatics Lab, University of Minnesota
Replay the talk: https://youtu.be/dcJZeDIMr2I
Learning Informatics
AI • Analytics • Accountability • Agency
Simon Buckingham Shum
Professor of Learning Informatics
Director, Connected Intelligence Centre
University of Technology Sydney
Abstract:
“Health Informatics”. “Urban Informatics”. “Social Informatics”. Informatics offers systemic ways of analyzing and designing the interaction of natural and artificial information processing systems. In the context of education, I will describe some Learning Informatics lenses and practices which we have developed for co-designing analytics and AI with educators and students. We have a particular focus on closing the feedback loop to equip learners with competencies to navigate a complex, uncertain future, such as critical thinking, professional reflection and teamwork. En route, we will touch on how we build educators’ trust in novel tools, our design philosophy of “embracing imperfection” in machine intelligence, and the ways that these infrastructures embody values. Speaking from the perspective of leading an institutional innovation centre in learning analytics, I hope that our experiences spark productive reflection around as the UMN Learning Informatics Lab builds its program.
Biography:
Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, where he serves as inaugural director of the Connected Intelligence Centre. CIC is a transdisciplinary innovation centre, using analytics to provide new insights for university teams, with particular expertise in educational data science. Simon’s career-long fascination with software’s ability to make thinking visible has seen him active in communities including Computer-Supported Cooperative Work, Hypertext, Design Rationale, Scholarly Publishing, Semantic Web, Computational Argumentation, Educational Technology and Learning Analytics. The challenge of visualizing contested knowledge has produced several books: Visualizing Argumentation, Knowledge Cartography, and Constructing Knowledge Art. He has been active over the last decade in shaping the field of Learning Analytics, co-founding the Society for Learning Analytics Research, and catalyzing several strands: Social Learning Analytics, Discourse Analytics, Dispositional Analytics and Writing Analytics. http://Simon.BuckinghamShum.net
Guest Lecture: Restoring Context in Distance Learning with Artificial Intelli...Daniele Di Mitri
Presentation given on the February 1st, 2022 at the "Brown Bag" presentation series organised by the Faculty of NYU Educational Communication and Technology which is part of the Steinhardt School of Culture, Education, and Human Development.
https://www.ectstudent.info/news-events/brown-bag-dr-daniele-di-mitri
Presentation Abstract:
The COVID-19 pandemic forced more than 1.6 billion learners out of school, becoming the most challenging disruption ever endured by the global education systems. In many countries, education institutions decided to move their regular activities online, opting for remote teaching as an emergency solution to continue their education. Meanwhile, physical distancing and learning in isolation heavily challenge learners and hinder their study success. There is a compelling need to make education systems more resilient and less vulnerable to future disruptions in such a critical landscape. In particular, we have to reconsider how digital technologies can support online and hybrid teaching. If digital education technologies such as video conferencing tools and learning management systems have improved to make educational resources more available and education more flexible, the modes of interaction they implement remain essentially unnatural for the learner due to a substantial lack of context. Modern sensor-enabled computer systems allow extending the standard human-computer interfaces and facilitate richer multimodal interaction. Furthermore, advances in AI allow interpreting the data collected from multimodal and multi-sensor devices. These insights can be used to support online teaching and learning in isolation with personalised feedback and adaptation through Multimodal Learning Experiences (MLX). This guest lecture elaborates on existing approaches, architectures, and methodologies. I illustrate use cases that employ multimodal learning analytics applications that can shape the online teaching of the future.
Educational Futures: personalisation, privatisation and privacy debbieholley1
Educational Futures: personalisation, privatisation and privacy
In this presentation, Professor Debbie Holley reflects on the digital solutions proposed to scale and solve our digital educational requirements of the future. What are the challenges and opportunities afforded by technologies, and who will benefit and how? In a time where education becoming increasingly commercialised, what are the changing balances between public and private funding, the requirements for a different set of workforce skills, and the needs of those wishing to access education? The recent pandemic has resulted in rapid change and innovation, and the contested role of where learning will take place is receiving unprecedented attention.
EdTech World Forum 2022
In this presentation, Professor Debbie Holley reflects on the digital solutions proposed to scale and solve our digital educational requirements of the future. What are the challenges and opportunities afforded by technologies, and who will benefit and how? In a time where education becoming increasingly commercialised, what are the changing balances between public and private funding, the requirements for a different set of workforce skills, and the needs of those wishing to access education? The recent pandemic has resulted in rapid change and innovation, and the contested role of where learning will take place is receiving unprecedented attention.
From a SOCITM Meeting June 2014 (Society of Information Technology Managers). A 10 minute presentation on how ICT in Learning is developing, a few requirements to provide the right infrastructure to support essential technology rich learning environments and how a vision and framework can support this.
Building a community of edupreneurs in learning technologies. Keynote presentation at Future Learning Lab, University of Adger, Kristiansand, Norway by Martha G Russell, Executive Director, mediaX at Stanford University.
Short paper presentation at the The 1st International Digital Libraries for Musicology workshop (DLfM 2014) 12TH SEPTEMBER 2014 (FULL DAY), LONDON, UK in conjunction with the ACM/IEEE Digital Libraries conference 2014.
INSPIRE: A new learning centre, a new learning environment. Presentation to the 3rd Annual Learning Space Design Summit, 23 November 2012, Sydney AUSTRALIA
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
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.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Thesis Statement for students diagnonsed withADHD.ppt
Mindful Learning Technologies
1. Mindful Learning Technologies
P R O F. D R . M A R C U S S P E C H T
CENTRE FOR LEARNING SCIENCES AND TECHNOLOGIES
OPEN UNIVERSITEIT NEDERLAND
MARCUS.SPECHT@OU.NL
T W I T T E R , F L I C K R , FA C E B O O K : M A R C U S P E C H T
6. “The most profound technologies are those that
disappear. They weave themselves into the fabric
of everyday life until they are indistinguishable
from it.”
–MARC WEISER
6
18. SEAMS IN LEARNING SUPPORT
(WONG ET AL, 2011)
• Formal and informal learning;
• Personalized and social learning;
• Across time; locations, social contexts
• Combined use of multiple device types;
• Physical and digital worlds
• Multiple learning tasks knowledge synthesis
Wong, L.-H., & Looi, C.-K. (2011). What Seams Do We Remove in Mobile Assisted Seamless Learning? A Critical
Review of the Literature. Computers & Education, 57(4), 2364–2381. doi:10.1016/j.compedu.2011.06.007
18
29. measuring power consumption on campus with standard facility
management, plus sensors on workplaces and public devices,
personal registration of power consuming activities.
Energy consumption ...
!29
30.
31.
32. M A I N R E S U LT S E N E R G Y A W A R E N E S S
• Situated displays have a generic effect of raising
awareness and energy consumption on a mid to long
term
• Badge and social incentive systems must be
embedded with social media to have an effect
• Real world action foster curiosity, discussion, and
reflection about the topic when combined with public
displays
33. attention-aware displays ...
• raise and retain attention significantly
better.
• lead not to higher cognitive load but to a
significant higher knowledge gain.
!33
49. SO …
• #1 There are seams between the different learning
contexts, locations, times, social contexts, …
• #2 There are opportunities with new technologies
that are open, ubiquitous, context-aware, and
personalized.
• #3 look at the aimed effects on awareness,
curiosity, creativity, knowledge, latent variables, …
50. MINDFUL AND SEAMLESS LEARNING …
• ubiquitous open content access,
• flexible sensor data aggregation,
• synchronisation of channels (to context
and person),
• and dynamic visualization and output
indicators (ambient displays).
51. APP IDEA OUT OF EDUCATIONAL WORKSHOP WITH WORDS …
P R E S E N TAT I O N , L E A R N , F I LT E R
CHOOSE 3 THINGS
Y O U TA K E W I T H Y O U
F R O M T H I S TA L K