Amidst the hype and the hysteria MOOCs themselves have marched steadily along. Recent reports show that they continue to grow both in numbers of courses being offered and the total number of learners enrolled on all MOOCs. And so, despite many critiques and uncertainties about their true role and financial viability, MOOCs are for the moment at least, here to stay. The cMOOC xMOOC binary, and other acronymic derivations, can be seen as representative of the contestation of the arena in which MOOCs are situated; as attempts to frame or direct the discourse. This has been examined in the academic literature, in the traditional media and to some degree in social media. In this paper we examine how stakeholders including MOOC providers, teachers and students use the term MOOC in the social medium Twitter. We do this through an analysis of a sample of mentions of the hashtag “#MOOC”. Furthermore, we examine issues of the how research can be conducted on MOOCs in Twitter including an appraisal of how the term itself is both portrayed and conceptualized in this space.
Social Capital in Twitter Conversations among TeachersMartin Rehm
Social networking sites (SNS) provide a ready-made environment to acquire and share new information, while collaborating in social networks of diverse groups of people. This study focuses on the creation and distribution of social capital within SNS, such as Twitter. Social capital has been repeatedly proposed as a valuable theoretical concept to analyze SNS. Moreover, previous research has greatly contributed to our understanding of how individuals communicate via Twitter. Yet, past studies remained inconclusive about the precise role of social capital in SNS. Additionally, little is known about whether and how teachers use SNS (e.g. Twitter) to share and collect information. The present study addresses these shortcomings by providing empirical evidence from two hashtag conversations, namely #edchat and #edchatde. Both aim at teachers and cover the latest trends and developments in the field of (new) media in teaching and learning processes. We collected longitudinal ego-network data from 22.05. – 06.11.2014, yielding more than 144,000 Tweets from about 52,000 Twitter users. Building upon the work of Tsai and Goshal (1998), who acknowledged social network analysis as a valuable tool to assess (aspects of) of social capital, we determined egos’ betweenness and closeness centrality measures. Moreover, we also determined their hub and authority scores (Kleinberg, Kumar, Raghavan, Rajagopalan, & Tomkins, 1999), as well as brokerage roles (De Nooy, Mrvar, & Batagelj, 2011). Finally, we also assessed the existence and relevance of structural holes (e.g. Burt, 2009) in the emerging network structures of the hashtag conversations. The results show that there are overarching similarities among the Twitter conversations on how social capital is created and distributed. However, we also revealed decisive differences with respect to brokerage roles, as well as hub and authority scores. Based on these findings we will formulate recommendations for future studies, as well as discuss preliminary implications for practitioners.
Social network analysis and understanding of massive open online coursesDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for understanding distributed pedagogies in massive open online courses (MOOCs). The presentation is based on
Skrypnyk, O., Joksimović, S. Kovanović, V., Gasevic, D., Dawson, S. (2014). Roles of course facilitators, learners, and technology in the flow of information of a cMOOC. British Journal of Educational Technology (submitted), http://www.sfu.ca/~dgasevic/papers_shared/bjet2014_cmoocs.pdf.
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Xiaohan Zeng
The advent of the social networks has completely changed our daily life. The deluge of data collected on Social Network Services (SNS) and recent developments in complex network theory have enabled many marvelous predictive analysis, which tells us many amazing stories.
Why do we often feel that "the world is so small?" Is the six-degree separation purely imagination or based on mathematical insights? Why are there just a few rockstars who enjoy extreme popularity while most of us stay unknown to the world? When science meets coffee shop knowledge, things are bound to be intriguing.
I will first briefly describe what social networks are, in the mathematical sense. Then I will introduce some ways to extract characteristics of networks, and how these analyses can explain many anecdotes in our life. Finally, I'll show an example of what we can learn from social network analysis, based on data from Groupon.
Slides from a panel presentation on Digital and Social Media for Research Purposes, held on February 10, 2015 at the Faculty of Education, University of British Columbia.
Amidst the hype and the hysteria MOOCs themselves have marched steadily along. Recent reports show that they continue to grow both in numbers of courses being offered and the total number of learners enrolled on all MOOCs. And so, despite many critiques and uncertainties about their true role and financial viability, MOOCs are for the moment at least, here to stay. The cMOOC xMOOC binary, and other acronymic derivations, can be seen as representative of the contestation of the arena in which MOOCs are situated; as attempts to frame or direct the discourse. This has been examined in the academic literature, in the traditional media and to some degree in social media. In this paper we examine how stakeholders including MOOC providers, teachers and students use the term MOOC in the social medium Twitter. We do this through an analysis of a sample of mentions of the hashtag “#MOOC”. Furthermore, we examine issues of the how research can be conducted on MOOCs in Twitter including an appraisal of how the term itself is both portrayed and conceptualized in this space.
Social Capital in Twitter Conversations among TeachersMartin Rehm
Social networking sites (SNS) provide a ready-made environment to acquire and share new information, while collaborating in social networks of diverse groups of people. This study focuses on the creation and distribution of social capital within SNS, such as Twitter. Social capital has been repeatedly proposed as a valuable theoretical concept to analyze SNS. Moreover, previous research has greatly contributed to our understanding of how individuals communicate via Twitter. Yet, past studies remained inconclusive about the precise role of social capital in SNS. Additionally, little is known about whether and how teachers use SNS (e.g. Twitter) to share and collect information. The present study addresses these shortcomings by providing empirical evidence from two hashtag conversations, namely #edchat and #edchatde. Both aim at teachers and cover the latest trends and developments in the field of (new) media in teaching and learning processes. We collected longitudinal ego-network data from 22.05. – 06.11.2014, yielding more than 144,000 Tweets from about 52,000 Twitter users. Building upon the work of Tsai and Goshal (1998), who acknowledged social network analysis as a valuable tool to assess (aspects of) of social capital, we determined egos’ betweenness and closeness centrality measures. Moreover, we also determined their hub and authority scores (Kleinberg, Kumar, Raghavan, Rajagopalan, & Tomkins, 1999), as well as brokerage roles (De Nooy, Mrvar, & Batagelj, 2011). Finally, we also assessed the existence and relevance of structural holes (e.g. Burt, 2009) in the emerging network structures of the hashtag conversations. The results show that there are overarching similarities among the Twitter conversations on how social capital is created and distributed. However, we also revealed decisive differences with respect to brokerage roles, as well as hub and authority scores. Based on these findings we will formulate recommendations for future studies, as well as discuss preliminary implications for practitioners.
Social network analysis and understanding of massive open online coursesDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for understanding distributed pedagogies in massive open online courses (MOOCs). The presentation is based on
Skrypnyk, O., Joksimović, S. Kovanović, V., Gasevic, D., Dawson, S. (2014). Roles of course facilitators, learners, and technology in the flow of information of a cMOOC. British Journal of Educational Technology (submitted), http://www.sfu.ca/~dgasevic/papers_shared/bjet2014_cmoocs.pdf.
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Xiaohan Zeng
The advent of the social networks has completely changed our daily life. The deluge of data collected on Social Network Services (SNS) and recent developments in complex network theory have enabled many marvelous predictive analysis, which tells us many amazing stories.
Why do we often feel that "the world is so small?" Is the six-degree separation purely imagination or based on mathematical insights? Why are there just a few rockstars who enjoy extreme popularity while most of us stay unknown to the world? When science meets coffee shop knowledge, things are bound to be intriguing.
I will first briefly describe what social networks are, in the mathematical sense. Then I will introduce some ways to extract characteristics of networks, and how these analyses can explain many anecdotes in our life. Finally, I'll show an example of what we can learn from social network analysis, based on data from Groupon.
Slides from a panel presentation on Digital and Social Media for Research Purposes, held on February 10, 2015 at the Faculty of Education, University of British Columbia.
Social network analysis and social presenceDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for the development of social capital based on social presence in communities of inquiry The presentation is based on
Kovanović, V., Joksimović, S., Gašević, D., Hatala, M., “What is the source of social capital? The association between social network position and social presence in communities of inquiry,” In Proceedings of 7th International Conference on Educational Data Mining – Workshops, London, UK, 2014, http://ceur-ws.org/Vol-1183/gedm_paper03.pdf
Это интереснейшее исследование того, насколько лента новостей Facebook хороша как механика распространения информации (виральности) в Facebook. Ставит под сомнение некоторые известные приемы посева классических вирусов.
Who’s in the Gang? Revealing Coordinating Communities in Social MediaDerek Weber
Political astroturfing and organised trolling are online malicious behaviours with significant real-world effects. Common approaches examining these phenomena focus on broad campaigns rather than the small groups responsible. To reveal networks of cooperating accounts, we propose a novel temporal window approach that relies on account interactions and metadata alone. It detects groups of accounts engaging in behaviours that, in concert, execute different goal-based strategies, which we describe. Our approach is validated against two relevant datasets with ground truth data. See https://github.com/weberdc/find_hccs for code and data.
Presented at ASONAM'20 (2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining).
Co-authored with Frank Neumann (University of Adelaide)
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.
An introduction in the world of Social Network Analysis and a view on how this may help learning networks. History, data collection and several analysis techniques are shown.
Usage and behavioral habits of Brazilian internet users in social mediaElife Brasil
The aim of the study Usage and behavioral habits of Brazilian internet users in social media was to find out what are the habits of Brazilians when using the Internet and social media combined with other media.
In social networks, the following was analyzed: places and support for access, time of use, most used apps and the tendency of growth of some networks to the detriment of others, as well as their specific use.
The influence of social networks as a source of information for the purchase decision process was also analyzed.
Amidst the hype and the hysteria MOOCs themselves have marched steadily along. Recent reports show that they continue to grow both in numbers of courses being offered and the total number of learners enrolled on all MOOCs. And so, despite many critiques and uncertainties about their true role and financial viability, MOOCs are for the moment at least, here to stay. The cMOOC xMOOC binary, and other acronymic derivations, can be seen as representative of the contestation of the arena in which MOOCs are situated; as attempts to frame or direct the discourse. This has been examined in the academic literature REFS, in the traditional media [VITOMIR SELWIN US ] and to some degree in social media [REFS]. In this paper will examine how stakeholders including MOOC providers, teachers and students use the term MOOC in social medium Twitter. We do this through an analysis of a sample of mentions of the hashtag “#MOOC”. Furthermore, we examine issues of the how research can be conducted on MOOCs in Twitter including an appraisal of how the term itself is both portrayed and conceptualized in this space.
E-Learn 2014 Abstract: Today digital footprints are left all over the Internet for others to find. This article reviews the means through which scholars can organize research and connect digital scholarship for increased visibility and impact. A survey of the literature on scholarship tools to provide connections for publishing records, academic citations, and digital identity management was done. The authors reviewed Researcher ID, ORCID, and Google Scholar Citations. The numbers of portals for synthesizing research output and related identity management platforms are increasing; however, understanding what this research impact might look like in the digital age can provide questions for assessment for understanding these traces of scholarship online.
UGS 302 Syllabus: The role of technology among youth in society and education...Joan E. Hughes, Ph.D.
Fall 2013. A semester-long, writing-intensive course that leads first-year students in considering inventions and innovations (technological and historical) that have changed society and education. We weave from exploring current trends to historical shifts to again current digital innovations with critique from a range of perspectives (educational, political, advertising/marketing, technical, psychological). This course includes university-level requirements including: visiting remarkable places at UT (Harry Ransom Center, TACC VisLab), attending university lectures, engaging in research, writing and oral presenting, and being taught by a Ph.D. tenured faculty member.
Edutech_Europe Keynote Presentation: Implementing learning analytics and lear...Bart Rienties
This keynote will help you:
-Understand where to start with learning analytics
-Understand how to effectively support your staff to use data
-Critically review whether learning analytics is something for your organisation
https://www.terrapinn.com/exhibition/edutech-europe/speaker-bart-RIENTIES.stm
Weller social media as research data_psm15Katrin Weller
Presentation at "Preserving Social Media" (#psm15), London, October 27th 2015.
http://dpconline.org/events/details/96-preserving-socialmedia?xref=126%3ASocialMedia15
Social network analysis and social presenceDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for the development of social capital based on social presence in communities of inquiry The presentation is based on
Kovanović, V., Joksimović, S., Gašević, D., Hatala, M., “What is the source of social capital? The association between social network position and social presence in communities of inquiry,” In Proceedings of 7th International Conference on Educational Data Mining – Workshops, London, UK, 2014, http://ceur-ws.org/Vol-1183/gedm_paper03.pdf
Это интереснейшее исследование того, насколько лента новостей Facebook хороша как механика распространения информации (виральности) в Facebook. Ставит под сомнение некоторые известные приемы посева классических вирусов.
Who’s in the Gang? Revealing Coordinating Communities in Social MediaDerek Weber
Political astroturfing and organised trolling are online malicious behaviours with significant real-world effects. Common approaches examining these phenomena focus on broad campaigns rather than the small groups responsible. To reveal networks of cooperating accounts, we propose a novel temporal window approach that relies on account interactions and metadata alone. It detects groups of accounts engaging in behaviours that, in concert, execute different goal-based strategies, which we describe. Our approach is validated against two relevant datasets with ground truth data. See https://github.com/weberdc/find_hccs for code and data.
Presented at ASONAM'20 (2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining).
Co-authored with Frank Neumann (University of Adelaide)
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.
An introduction in the world of Social Network Analysis and a view on how this may help learning networks. History, data collection and several analysis techniques are shown.
Usage and behavioral habits of Brazilian internet users in social mediaElife Brasil
The aim of the study Usage and behavioral habits of Brazilian internet users in social media was to find out what are the habits of Brazilians when using the Internet and social media combined with other media.
In social networks, the following was analyzed: places and support for access, time of use, most used apps and the tendency of growth of some networks to the detriment of others, as well as their specific use.
The influence of social networks as a source of information for the purchase decision process was also analyzed.
Amidst the hype and the hysteria MOOCs themselves have marched steadily along. Recent reports show that they continue to grow both in numbers of courses being offered and the total number of learners enrolled on all MOOCs. And so, despite many critiques and uncertainties about their true role and financial viability, MOOCs are for the moment at least, here to stay. The cMOOC xMOOC binary, and other acronymic derivations, can be seen as representative of the contestation of the arena in which MOOCs are situated; as attempts to frame or direct the discourse. This has been examined in the academic literature REFS, in the traditional media [VITOMIR SELWIN US ] and to some degree in social media [REFS]. In this paper will examine how stakeholders including MOOC providers, teachers and students use the term MOOC in social medium Twitter. We do this through an analysis of a sample of mentions of the hashtag “#MOOC”. Furthermore, we examine issues of the how research can be conducted on MOOCs in Twitter including an appraisal of how the term itself is both portrayed and conceptualized in this space.
E-Learn 2014 Abstract: Today digital footprints are left all over the Internet for others to find. This article reviews the means through which scholars can organize research and connect digital scholarship for increased visibility and impact. A survey of the literature on scholarship tools to provide connections for publishing records, academic citations, and digital identity management was done. The authors reviewed Researcher ID, ORCID, and Google Scholar Citations. The numbers of portals for synthesizing research output and related identity management platforms are increasing; however, understanding what this research impact might look like in the digital age can provide questions for assessment for understanding these traces of scholarship online.
UGS 302 Syllabus: The role of technology among youth in society and education...Joan E. Hughes, Ph.D.
Fall 2013. A semester-long, writing-intensive course that leads first-year students in considering inventions and innovations (technological and historical) that have changed society and education. We weave from exploring current trends to historical shifts to again current digital innovations with critique from a range of perspectives (educational, political, advertising/marketing, technical, psychological). This course includes university-level requirements including: visiting remarkable places at UT (Harry Ransom Center, TACC VisLab), attending university lectures, engaging in research, writing and oral presenting, and being taught by a Ph.D. tenured faculty member.
Edutech_Europe Keynote Presentation: Implementing learning analytics and lear...Bart Rienties
This keynote will help you:
-Understand where to start with learning analytics
-Understand how to effectively support your staff to use data
-Critically review whether learning analytics is something for your organisation
https://www.terrapinn.com/exhibition/edutech-europe/speaker-bart-RIENTIES.stm
Weller social media as research data_psm15Katrin Weller
Presentation at "Preserving Social Media" (#psm15), London, October 27th 2015.
http://dpconline.org/events/details/96-preserving-socialmedia?xref=126%3ASocialMedia15
2018-04-24 OE Global OER Community for UNESCO OER Action Plan Stracke et alChristian M. Stracke
2018-04-24 Panel at OE Global 2018 in Delft on "How can the OER Community put the UNESCO OER Action Plan into practice?" by Christian M. Stracke (OUNL), Zeynep Varoglu (UNESCO), Daniel Burgos (UNIR), Tel Amiel (UNICAMP) and Jane-Frances Agbu (NOU)
Altmetrics are here: are you ready to help your faculty? [ALA Research & Stat...Impactstory Team
Scholarship is changing, along with the way we measure impact. This webinar explores altmetrics and the crucial role librarians have in helping faculty navigate these changes.
Tiered Eportfolio Apprenticeship Model (T.E.A.M.)
Presentation at the 2014 Nebraska Distance Learning Annual Conference by Roz Hussin and Allison Hunt (University of Nebraska-Lincoln, USA), and facilitated by Stefan Schmid (BBW, Germany)
Similar to 10. MOOCs context in the world – the main drivers behind MOOCs - Eamon Costello (DCU) - Presentation (20)
Innovación didáctica en la enseñanza universitaria de la competencia comunica...Tiberio Feliz Murias
Tema 6: La evaluación del proceso de enseñanza-aprendizaje. Curso-taller: Innovación didáctica en la enseñanza universitaria de la competencia comunicativa. 5 y 6 de noviembre. Universidad de Sonora. Hermosillo (México).
Innovación didáctica en la enseñanza universitaria de la competencia comunica...Tiberio Feliz Murias
Tema 5: Los recursos didácticos. Curso-taller: Innovación didáctica en la enseñanza universitaria de la competencia comunicativa. 5 y 6 de noviembre. Universidad de Sonora. Hermosillo (México).
Innovación didáctica en la enseñanza universitaria de la competencia comunica...Tiberio Feliz Murias
Tema 4: Los principios didácticos. Curso-taller: Innovación didáctica en la enseñanza universitaria de la competencia comunicativa. 5 y 6 de noviembre. Universidad de Sonora. Hermosillo (México).
Innovación didáctica en la enseñanza universitaria de la competencia comunica...Tiberio Feliz Murias
Tema 3: La Innovación didáctica en la enseñanza universitaria. Curso-taller: Innovación didáctica en la enseñanza universitaria de la competencia comunicativa. 5 y 6 de noviembre. Universidad de Sonora. Hermosillo (México).
Innovación didáctica en la enseñanza universitaria de la competencia comunica...Tiberio Feliz Murias
Tema 2: La competencia comunicativa. Curso-taller: Innovación didáctica en la enseñanza universitaria de la competencia comunicativa. 5 y 6 de noviembre. Universidad de Sonora. Hermosillo (México).
Innovación didáctica en la enseñanza universitaria de la competencia comunica...Tiberio Feliz Murias
Tema 1: La Didáctica en el ámbito comunicativo en la educación superior. Curso-taller: Innovación didáctica en la enseñanza universitaria de la competencia comunicativa. 5 y 6 de noviembre. Universidad de Sonora. Hermosillo (México).
Innovación didáctica en la enseñanza universitaria de la competencia comunica...Tiberio Feliz Murias
Programa del Curso-taller: Innovación didáctica en la enseñanza universitaria de la competencia comunicativa. 5 y 6 de noviembre. Universidad de Sonora. Hermosillo (México).
Due to their massive character, MOOCs are frequently based on transmissive methodologies. This simple strategy is based on content transmission, that has direct effects on the learning quality. Gamification is an opportunity to improve learning strategies and results. The analysis is organised on three focuses (the EA approach): the learners, the teachers, and the means. For each component, seven strategies are suggested. At least, as a summarise, one principle is associated to each focus: autonomy for learners, unpredictability for teachers, and flexibility for means.
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.
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.
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.
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
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
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
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!
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
10. MOOCs context in the world – the main drivers behind MOOCs - Eamon Costello (DCU) - Presentation
1. Learning Outside Online Classes:
Social Media and MOOCs
Dr Eamon Costello
eamon.costello@dcu.ie
Training Madrid, 12-16 December 2016
Designing sustainable MOOCs in Europe
2. Why MOOCs?
For reaching new students?
For increasing institutional visibility?
For teaching innovation?
Jansen, D., & Schuwer, R. (2015). Institutional MOOC strategies in Europe Status report based on a mapping survey conducted in October - December 2014.
EADTU – HOME project. Available from http://eadtu.eu/documents/Publications/OEenM/Institutional_MOOC_strategies_in_Europe.pdf
Allen, E., & Seaman. J. (2015). Grade Change: Tracking Online Education in the United States. Babson Survey Research Group and The Sloan
Consortium. Available from http://www.onlinelearningsurvey.com/reports/gradelevel.pdf
8. A Suessian Sea
MOOC
cMOOC
xMOOC
SPOC DOCC HOOC
BOOC
gMOOC
LOOC MOOR
SMOC
NOOK
Altinpulluk, H. and Kesim M. (2016) The Evolution of MOOCs and a Clarification of
Terminology Through a Literature Review. Proceedings of the European Distance and E-Learning
Network 2016 Annual Conference, Budapest, 14-17 June.
iMOOC
LAPS SOOCmMOOC
VOOC
9. Horrigan, J. (2016). Lifelong learning and technology. Pew Research Center. Available from
http://www.pewinternet.org/2016/03/22/lifelong-learning-and-technology/
n = 2,752
10. • 50,274
n = 50,274
Dahlstrom, E., Christopher Brooks, D., Grajek, S., and Reeves, R. (2015) ECAR Study of Students and Information Technology, 2015. Research report.
Louisville, CO: ECAR, December 2015. Available from
https://library.educause.edu/resources/2015/8/2015-student-and-faculty-technology-research-studies
12. Our Approach
by RSNY
• GNIP API Jan – Dec 2015 -> find #MOOC and MOOC
• GZIP -> JSON- > MongoDB – > R / Gephi / Google BigQuery
• 32,309 tweets (17,910 original)
• Descriptive analytics, content analytics, network analytics (Chae, 2015;
Lynn et. al., 2015)
• 243,267 tweets
• 142,365 (59%) original
• 100,902 (41%) retweets
• 94,939 usersChae, B. K. 2015. Insights from hashtag# supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research. In
International Journal of Production Economics, 165, 247-259.
Lynn, T., Kilroy, S., van der Werff, L., Healy, P., Hunt, G., Venkatagiri, S., and Morrison, J. 2015. Towards a general research framework for social media research
using big data. In Professional Communication Conference (IPCC), 2015 IEEE International (pp. 1-8). IEEE.
13. Top 25 Words in the Dataset
Word Frequency Word Frequency Word Frequency
online 19,503 great 3,890 massive 2,875
course 17,848 digital 3,517 scoopit 2,495
free 12,709 week 3,487 social 2,349
starts 9,804 learn 3,260 university 2,208
learning 9,693 edxonlinemooc 3,257 science 2,115
open 7,249 post 3,234 business 516
education 4,931 data 3,131
join 4,681 launches 3,127
coursera 4,197 students 3,099
edxonline 3,970 world 2,898
14. Figure 3 provides a graphical representation for the sentiments distribution in the tweets.
A graphical representation for the sentiment distribution in the tweets.
15. Exemplar Tweet Sentime
nt Score
@LHTL_MOOC Wonderful, wonderful, wonderful! I can't thank you enough for
this wealth of knowledge and these powerful learning tools!!
6
@SusanOrr Also this MOOC is pretty good covering basics. Good general intro
with useful, free & user friendly tools. https://t.co/9NeSvrBvZD
6
@ILDigitalMktg great #MOOC on #digitalmarketing I learned many new useful
exciting concepts! My fave was DBI! Thank you! @aricrindfleisch
5
#ememitalia Teixeira: focusing on dropout as a problem to criticize #MOOC
education is a conceptual mistake
-4
Completed MOOC on Python. My opinion of Python was bad going in, it only got
worse. It is a collection of gimmicks, nothing more. Awful.
-4
@coursera The constant nagging about course certificate is distracting and
undermine the quality of your platform. #MOOC #onlinelearning
-3
17. Conceptualizing Networks
Communication types (Brunns & Stieglitz, 2014)
• Annunciative
• Conversational
• Disseminative
Bruns, Axel & Stieglitz, Stefan (2014) Metrics for Understanding Communication on Twitter. In Weller, Katrin, Bruns, Axel,
Burgess, Jean, Mahrt, Merja, & Puschmann, Cornelius (Eds.) Twitter and Society. Peter Lang, New York, pp. 69-82.
18. Conceptualizing the network
Information network or social network?
(Myers, Sharma, Gupta & Lin, 2014)
Myers, S. A., Sharma, A., Gupta, P., & Lin, J. (2014). Information network or social network?: the structure of the twitter
follow graph. In Proceedings of the 23rd International Conference on World Wide Web (pp. 493-498). ACM.
19. Key Hubs (based on follows)
Screen Name BC Screen Name BC Screen Name BC
mooc24 66,620 openSAP 842 CourseBuffet 118
NutritionMOOCs 52,116 UCTMOOCs 689 PythonDaily 106
EUmoocs 24,171 openHPI 499 OpenClassrooms 74
tleerwerk 14,182 MIT 443 EducationDive 64
juandoming 4,141 Plusacumen 435 Acumen 50
Mirimi 3,043 Hubert_edu 390
iversity 2,715 CircularX 330
FutureLearn 1,844 ColumbiaScience 325
nancyrubin 1,614 KristerSvensson 192
MOOCFactory 900 Drchuck 167.50
20. Key Hubs (based on @replies)
Screen Name BC Screen Name BC Screen Name BC
CraigTaylor74 261 Diando70 16 Judyfranks 3
LearnKotch 209 Yishaym 15 juandoming 3
NUsocialmktg 173 AleksejHeinze 12 AdrianaGWilde 3
Kiwirip [Peter Mellow] 168 TESSIndia 10 catspyjamasnz 3
RandyHlavac 138 DarcoJansen 9 culturalprovoca 3
LHTL_MOOC 109 Esrimooc 6
zaidlearn 80 ECOmooc 6
MdCplus 55 EUmoocs 4
MGCleve 48 KR_Barker 4
edXOnline 34 mbrownz 4
22. Designing Social Media MOOC Interfaces for
Seamless Learning
• What urls are students sharing?
• What do successful students look like?
• What can we do to help students persist?
Gabielkov, M., Ramachandran, A., Chaintreau, A. & Legout, A.(2016) Social Clicks: What and Who Gets
Read on Twitter?