This is a set material for a project simuation training course. some other related materials are not in presentation form, if you would like to have a such simulation training for your organization, you can contact with Ernest Chiang (dwchiang at rayernest dot com)
Biking Brisbane is a multimedia arts project that will capture a view of the city from cyclists' perspectives. This is an overview of the project methodology.
This is a set material for a project simuation training course. some other related materials are not in presentation form, if you would like to have a such simulation training for your organization, you can contact with Ernest Chiang (dwchiang at rayernest dot com)
Biking Brisbane is a multimedia arts project that will capture a view of the city from cyclists' perspectives. This is an overview of the project methodology.
Data augmented ethnography: using big data and ethnography to explore candi...Salla-Maaria Laaksonen
In this paper we propose data augmented ethnography as a novel mixed methods approach to combine ethnographic, qualitative, observations with social media data collection and computational analysis. Using two brief studies on online interaction as examples we discuss the benefits and challenges of the combination of these two perspectives. We posit that the observations made in the qualitative phase can be quantified and hypothesized together with the data collected later during the analysis stage. Through our case studies we aim to shed light to the differences apparent on the party level and seek to understand how candidates, based on their parties political standing, differ in terms of interactivity. We ask, what insights does a mixed-method approach combining ethnographic observations to computational social science offer to the study of interactivity and its many pregnant forms? To answer this question, we use a large data set collected from different social media platforms before and during the 2015 Parliament Election in Finland. This data consists of both textual data including all candidate updates and the conversations they elicited, as well as field notes written and collected during ethnographic field work period before the elections.
Integration data models, Learning Layers project meeting in BremenVladimir Tomberg
Report on process of building common semantic core for data from several Learning Layers applications for an integrated solution supported by Social Semantic Server
Data augmented ethnography: using big data and ethnography to explore candi...Salla-Maaria Laaksonen
In this paper we propose data augmented ethnography as a novel mixed methods approach to combine ethnographic, qualitative, observations with social media data collection and computational analysis. Using two brief studies on online interaction as examples we discuss the benefits and challenges of the combination of these two perspectives. We posit that the observations made in the qualitative phase can be quantified and hypothesized together with the data collected later during the analysis stage. Through our case studies we aim to shed light to the differences apparent on the party level and seek to understand how candidates, based on their parties political standing, differ in terms of interactivity. We ask, what insights does a mixed-method approach combining ethnographic observations to computational social science offer to the study of interactivity and its many pregnant forms? To answer this question, we use a large data set collected from different social media platforms before and during the 2015 Parliament Election in Finland. This data consists of both textual data including all candidate updates and the conversations they elicited, as well as field notes written and collected during ethnographic field work period before the elections.
Integration data models, Learning Layers project meeting in BremenVladimir Tomberg
Report on process of building common semantic core for data from several Learning Layers applications for an integrated solution supported by Social Semantic Server
Слайды к моему короткому выступлению на круглом столе конференции ПрофсоUX в Санкт-Петербурге, 26 апреля 2014 года. Круглый стол был посвещен UX образованию.
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.
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.
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!
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.
A Strategic Approach: GenAI in EducationPeter 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.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Francesca Gottschalk - How can education support child empowerment.pptx
Timeliner, Talk in EU Universities
1. This research was supported by European Social Fund’s Doctoral Studies and InternationalisationProgrammeDoRa timelinerconcept research Vladimir Tomberg David Lamas Mart Laanpere UONL, Fraunhofer FIT, RWTH - June 2011
2. What is this about? We guess it is about facilitating collaborative research paper writing… 2 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
3. Problems Finding right target (conference, journal) Finding right partners Organizing ‘Personal Writing Environment’ Organizing collaborative work June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere 3
4. Inspiring ideas The “paper prototype” – real device 4 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
7. Our idea Unwrapping the clock ring… 7 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
8. Our idea Adding community and data layers… 8 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
9. What is this about? Cooperatively identifying and tracking scientific publication opportunities Contributing to an open research environment Promoting awareness of shared goals Supporting team work 9 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
11. Inspiring ideas …generated from a list of chosen CFPs 11 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
12. What Initial Data We Need? CfPdata. Should be gathered from very different sources (WikiCfP, RSS, other sources) Key dates of each project (deadlines, milestones) Different types of Milestones (for Survey, for Writing phase, for Camera-Ready version, etc.) Problem: There is no good ontology for describing modern call for papers 12 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
13. Call Ontology Proposed in framework of Timeliner research Based on several existing ontologies: DERI CfP, ESWC2006 Conference Ontology, Foaf, Time, Dublin Core, Bibo Describes concepts for events, submissions, dates, publications, people, and organizations Proposed in paper “Towards a Comprehensive Call Ontology for Research 2.0” Tomberg, Lamas, Laanpere, Reinhard, Jovanovic (Special Track RDSRP 2011) June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere 13
14. Where intention to write starts from? June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere 14
15. Needs for Collaboration Recommender system for research peers Connecting system Sharing system June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere 15
16. Task and Activities of Collaborative Writing (adapted from Curtis & Lowry, 2004) June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere 16
17. What is this about? June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere 17 It is also about collaboratively managing writing tasks
18. Again, What Is This About? Managing writing tasks with a decentralized and light project management approach: all resources are kept in web-services. If you used specific web service before, you probably can use it with Timeliner 18 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
19. What Personal Data We Use? Data we usually working with in our projects: Goals and tasks, papers, notes, bookmarks, text documents, pictures, and so on Such data today can be stored as locally, as well as in online web services 19 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
21. Related Research Fields CSCW (computer supported cooperative writing), KR (knowledge retrieval), KR (knowledge representation), KS (knowledge sharing), CC (creative collaboration) Connectivism, to be continued… June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere 21
22. We are open We are sure that here is a big volume for future works in different fields Many studies and design researches can be implemented around this project, so if you have any ideas or interest please contact us: vtomberg@tlu.ee drl@tlu.ee 22 June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere
23. Thank you for your time! vtomberg@tlu.ee drl@tlu.ee June 2011 Vladimir Tomberg, David Lamas, Mart Laanpere 23
Editor's Notes
Building a Taxonomy and Nomenclature of Collaborative Writing to Improve Interdisciplinary Research and Practice
