Bart van der Laar (RUG) gaf tijdens de SURF Summerschool Serious Gaming een presentatie over Science Linx en de ontwerpmethode waarmee zij serious games in Flash ontwikkelen.
Presentation given at PELARS Policy event, Brussles, 09.11.2016. A follow up op the first LACE Policy event in April 2015. Special focus is on the exploitation and sustainability activities for LACE in the SIG LACE SoLAR.
Recommendations for Open Online Education: An Algorithmic StudyHendrik Drachsler
Recommending courses to students in online platforms is studied widely. Almost all studies target closed platforms, that belong to a University or some other educational provider. This makes the course recommenders situation specific. Over the last years, a demand has developed for recommender system that suit open online platforms. Those platforms have some common characteristics, such as the lack of rich user profiles with content metadata. Instead they log user interactions within the platform that can be used for analysis and personalization. In this paper, we investigate how user interactions and activities tracked within open online learning platforms can be used to provide recommendations. We present a study in which we investigate the application of several state-of-the-art recommender algorithms, including a graph-based recommender approach. We use data from the OpenU open online learning platform that is in use by the Open University of the Netherlands. The results show that user-based and memory-based methods perform better than model-based and factorization methods. Particularly, the graph-based recommender system proves to outperform the classical approaches on prediction accuracy of recommendations in terms of recall. We conclude that, if the algorithms are chosen wisely, recommenders can contribute to a better experience of learners in open online courses.
Soude Fazeli, Enayat Rajabi, Leonardo Lezcano, Hendrik Drachsler, Peter Sloep
Dutch Cooking with xAPI Recipes, The Good, the Bad, and the ConsistentHendrik Drachsler
This paper presents the experiences of several Dutch projects in their application of the xAPI standard and different design patterns including the deployment of Learning Record Stores. In this paper we share insights and argue for the formation of an international Special Interest Group on interoperability issues to contribute to the Open Analytics Framework as envisioned by SoLAR and enacted by the Apereo Learning Analytics Initiative. Therefore, we provide an overview of the advantages and disadvantages of implementing the current xAPI standard by presenting projects that applied xAPI in very different ways followed by the lessons learned.
DELICATE checklist - to establish trusted Learning AnalyticsHendrik Drachsler
The DELICATE checklist contains eight action points that should be considered by managers and decision makers planning the implementation of Learning Analytics / Educational Data Mining solutions either for their own institution or with an external provider.
The eight points are:
1. Determination: Decide on the purpose of learning analytics for your institution. What aspects of learning or learner services are you trying to improve?
2. Explain: Define the scope of data collection and usage. Who has a need to have access to the data or the results? Who manages the datasets? On what criteria?
3. Legitimate: Explain how you operate within the legal frameworks, refer to the essential legislation. Is the data collection excessive, random, or fit for purpose?
4. Involve: Talk to stakeholders and give assurances about the data distribution and use. Give as much control as possible to data subjects (permission architecture), and provide access to their data for the individuals.
5. Consent: Seek consent through clear consent questions. Provide an opt-out option.
6. Anonymise: De-identify individuals as much as possible, aggregate data into meta-models.
7. Technical aspects: Monitor who has access to data, especially in areas with high staff turn-over. Establish data storage to high security standards.
8. External partners: Make sure externals provide highest data security standards. Ensure data is only used for intended purposes and not passed on to third parties.
We hope that the DELICATE checklist will be a helpful instrument for any educational institution to demystify the ethics and privacy discussions around Learning Analytics. As we have tried to show in this article, there are ways to design and provide privacy conform Learning Analytics that can benefit all stakeholders and keep control with the users themselves and within the established trusted relationship between them and the institution.
Presentation given at PELARS Policy event, Brussles, 09.11.2016. A follow up op the first LACE Policy event in April 2015. Special focus is on the exploitation and sustainability activities for LACE in the SIG LACE SoLAR.
Recommendations for Open Online Education: An Algorithmic StudyHendrik Drachsler
Recommending courses to students in online platforms is studied widely. Almost all studies target closed platforms, that belong to a University or some other educational provider. This makes the course recommenders situation specific. Over the last years, a demand has developed for recommender system that suit open online platforms. Those platforms have some common characteristics, such as the lack of rich user profiles with content metadata. Instead they log user interactions within the platform that can be used for analysis and personalization. In this paper, we investigate how user interactions and activities tracked within open online learning platforms can be used to provide recommendations. We present a study in which we investigate the application of several state-of-the-art recommender algorithms, including a graph-based recommender approach. We use data from the OpenU open online learning platform that is in use by the Open University of the Netherlands. The results show that user-based and memory-based methods perform better than model-based and factorization methods. Particularly, the graph-based recommender system proves to outperform the classical approaches on prediction accuracy of recommendations in terms of recall. We conclude that, if the algorithms are chosen wisely, recommenders can contribute to a better experience of learners in open online courses.
Soude Fazeli, Enayat Rajabi, Leonardo Lezcano, Hendrik Drachsler, Peter Sloep
Dutch Cooking with xAPI Recipes, The Good, the Bad, and the ConsistentHendrik Drachsler
This paper presents the experiences of several Dutch projects in their application of the xAPI standard and different design patterns including the deployment of Learning Record Stores. In this paper we share insights and argue for the formation of an international Special Interest Group on interoperability issues to contribute to the Open Analytics Framework as envisioned by SoLAR and enacted by the Apereo Learning Analytics Initiative. Therefore, we provide an overview of the advantages and disadvantages of implementing the current xAPI standard by presenting projects that applied xAPI in very different ways followed by the lessons learned.
DELICATE checklist - to establish trusted Learning AnalyticsHendrik Drachsler
The DELICATE checklist contains eight action points that should be considered by managers and decision makers planning the implementation of Learning Analytics / Educational Data Mining solutions either for their own institution or with an external provider.
The eight points are:
1. Determination: Decide on the purpose of learning analytics for your institution. What aspects of learning or learner services are you trying to improve?
2. Explain: Define the scope of data collection and usage. Who has a need to have access to the data or the results? Who manages the datasets? On what criteria?
3. Legitimate: Explain how you operate within the legal frameworks, refer to the essential legislation. Is the data collection excessive, random, or fit for purpose?
4. Involve: Talk to stakeholders and give assurances about the data distribution and use. Give as much control as possible to data subjects (permission architecture), and provide access to their data for the individuals.
5. Consent: Seek consent through clear consent questions. Provide an opt-out option.
6. Anonymise: De-identify individuals as much as possible, aggregate data into meta-models.
7. Technical aspects: Monitor who has access to data, especially in areas with high staff turn-over. Establish data storage to high security standards.
8. External partners: Make sure externals provide highest data security standards. Ensure data is only used for intended purposes and not passed on to third parties.
We hope that the DELICATE checklist will be a helpful instrument for any educational institution to demystify the ethics and privacy discussions around Learning Analytics. As we have tried to show in this article, there are ways to design and provide privacy conform Learning Analytics that can benefit all stakeholders and keep control with the users themselves and within the established trusted relationship between them and the institution.
Invited Symposium WERA Focal Meeting 2013 Brian Hudson
Presentation to the WERA Invited Symposium on ‘Building Infrastructure and Capacity for Research Innovations Worldwide’ as part of the WERA 2013 Focal Meeting held as an integral part of the XII National Congress for Education Research, sponsored by the Consejo Mexicano de Investigacion Educativa (COMIE) (Mexican Society for Educational Research) and Guanajuato University, 19-22 November 2013.
The presentation provides an overview of the R&D activities of the Learning Analytics topic at the Open Universiteit in October 2013.
http://portal.ou.nl/documents/363049/789b3323-d55c-4e3e-93ba-a716ade14463
http://creativecommons.org/licenses/by-nc-sa/3.0/
Drachsler, H., Specht, M. (2013).
What do analytics on learning analytics tell us? How can we make sense of this emerging field’s historical roots, current state, and future trends, based on how its members report and debate their research?
Challenge submissions should exploit the LAK Dataset for a meaningful purpose. This may include submissions which cover one or more of the following, non-exclusive list of topics:
Analysis & assessment of the emerging LAK community in terms of topics, people, citations or connections with other fields
Innovative applications to explore, navigate and visualise the dataset (and/or its correlation with other datasets)
Usage of the dataset as part of recommender systems
Analysis of the evolution of LAK discipline
Improvement or enrichment of the LAK Dataset
This leaflet provides information about work-in-progress on the C-SAP (Higher Education Academy Subject Centre for Sociology, Anthropology and Politics) Open Educational Resources Project.
Seminario eMadrid/SHEILA sobre "Analítica del Aprendizaje". Iniciativas y pol...eMadrid network
Seminario eMadrid/SHEILA sobre "Analítica del Aprendizaje". Iniciativas y políticas de Analítica de Aprendizaje en Estonia. Universidad de Tallinn. 21/10/2016.
Learning Analytics – Research challenges arising from a current review of LA useRiina Vuorikari
The JRC published a report on the use of Learning Analytics in education. These slides talk about the research challenges that arise from that report.
Ferguson, R., Brasher, A., Clow, D., Cooper, A., Hillaire, G., Mittelmeier, J., Rienties, B., Ullmann, T., Vuorikari, R., Research Evidence on the Use of Learning Analytics and Their Implications for Education Policy. (2016), Joint Research Centre Science for Policy Report.
https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/research-evidence-use-learning-analytics-implications-education-policy
Invited Symposium WERA Focal Meeting 2013 Brian Hudson
Presentation to the WERA Invited Symposium on ‘Building Infrastructure and Capacity for Research Innovations Worldwide’ as part of the WERA 2013 Focal Meeting held as an integral part of the XII National Congress for Education Research, sponsored by the Consejo Mexicano de Investigacion Educativa (COMIE) (Mexican Society for Educational Research) and Guanajuato University, 19-22 November 2013.
The presentation provides an overview of the R&D activities of the Learning Analytics topic at the Open Universiteit in October 2013.
http://portal.ou.nl/documents/363049/789b3323-d55c-4e3e-93ba-a716ade14463
http://creativecommons.org/licenses/by-nc-sa/3.0/
Drachsler, H., Specht, M. (2013).
What do analytics on learning analytics tell us? How can we make sense of this emerging field’s historical roots, current state, and future trends, based on how its members report and debate their research?
Challenge submissions should exploit the LAK Dataset for a meaningful purpose. This may include submissions which cover one or more of the following, non-exclusive list of topics:
Analysis & assessment of the emerging LAK community in terms of topics, people, citations or connections with other fields
Innovative applications to explore, navigate and visualise the dataset (and/or its correlation with other datasets)
Usage of the dataset as part of recommender systems
Analysis of the evolution of LAK discipline
Improvement or enrichment of the LAK Dataset
This leaflet provides information about work-in-progress on the C-SAP (Higher Education Academy Subject Centre for Sociology, Anthropology and Politics) Open Educational Resources Project.
Seminario eMadrid/SHEILA sobre "Analítica del Aprendizaje". Iniciativas y pol...eMadrid network
Seminario eMadrid/SHEILA sobre "Analítica del Aprendizaje". Iniciativas y políticas de Analítica de Aprendizaje en Estonia. Universidad de Tallinn. 21/10/2016.
Learning Analytics – Research challenges arising from a current review of LA useRiina Vuorikari
The JRC published a report on the use of Learning Analytics in education. These slides talk about the research challenges that arise from that report.
Ferguson, R., Brasher, A., Clow, D., Cooper, A., Hillaire, G., Mittelmeier, J., Rienties, B., Ullmann, T., Vuorikari, R., Research Evidence on the Use of Learning Analytics and Their Implications for Education Policy. (2016), Joint Research Centre Science for Policy Report.
https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/research-evidence-use-learning-analytics-implications-education-policy
Cellular Automata Models of Social ProcessesSSA KPI
AACIMP 2010 Summer School lecture by Alexander Makarenko. "Applied Mathematics" stream. "General Tasks and Problems of Modelling of Social Systems. Problems and Models in Sustainable Development" course. Part 7.
More info at http://summerschool.ssa.org.ua
Designing and supporting use of emergent technology in teacher education. Cas...Jari Laru
Presentation in Invited EAPRIL Cloud Symposium. Cloud 1 – Demands of 21st century for Teacher Education and Teacher Educators. Eapril 2013. Biel-Bienne, Switzerland
This is second of the two sets of slides that i have used at my session at the Regional Workshop on ICT Leadership in Higher Education organised by Commonwealth Educational Media Centre for Asia and The Open University of Sri Lanka, 6 - 7 June, 2014, at Hotel Tourmaline, Kandy, Sri Lanka.
Digital Systems and Services for Open Access Education and LearningDemetrios G. Sampson
Demetrios G Sampson
Digital Systems and Services for Open Access Education and Learning - Seminar Slides
Beijing Forum 2013, Panel II: Global Engagement and Knowledge Sharing in Higher Education,Beijing Municipal Government, Beijing, China, 31 October – 3 November 2013
Summer School “New Media and Learning”, Peking University, Beijing, China, 17 July 2013
Joint IEEE TCLT Online Seminar and Beijing Normal University (BNU) International Course 2013 on “The New Development of Technology Enhanced Learning: Concept, Research and Best Practices”, 20 June 2013
Visual data-enriched design technology for blended learningLaia Albó
Presentation at Tallinn University.
Archimedes Foundation fellow - Research visit during 3 months at TLU.
Learning analytics is the most known type of data collected from specific technological environments that allow educators to evaluate how students are learning within a learning context. However, there are more types of data available, less-explored, that may contribute to better design educational practices. These include design analytics, which are the metrics of design decisions and related aspects that inform learning designs. Laia Albó, from Universitat Pompeu Fabra, will talk about how visual representations, authoring support, and design analytics can aid teachers in designing for learning in complex scenarios that blend the use of different spaces for learning and different types of technological tools and resources, e.g. Massive Open Online Courses. This presentation is based on her PhD thesis work, defended in November 2019.
Oppimisratkaisut: Kansainvälisten oppimisverkostojen työpaja 28.3.2011, Riitta Smeds, Aalto/SimLab/Global School. Siirretty toiselta tililtä 21.11.2013, jolloin katsojia oli ollut 980 (views).
290317 inspiratiedag oer k veelo smoeskirstenveelo
Op 29 maart 2017 organiseerde SURF en de werkgroep Bibliotheken een Inspiratiedag over Open Educational Resources. Deze presentatie gaven Sylvia Moes (VU Amsterdam) en Kirsten Veelo (SURFnet) over infrastructuur voor het delen en hergebruik van open leermaterialen.
Ashley is een door TNO ontwikkelde virtuele assistent. Deze bevindt zich op het raakvlak van de digitale en de menselijke wereld. Momenteel wordt Ashley vooral ontwikkeld en ingezet in zorgtoepassingen, maar er zijn ook veel mogelijkheden voor toepassing in het onderwijs.
Op 9 februari organiseerden SURFnet, Kennisnet en De interdepartementale Programmadirectie Kennis en Innovatie (Ministerie van Economische Zaken) de workshop Ashley in het onderwijs bij TNO Human Factors in Soesterberg.
Liesbeth Mantel (TU Delft Library) en Remco Huijser (Cannibal Game Studios) presenteerden op de SURF Summerschool Serious Gaming de game Dark Ink. Dark Ink is ontwikkeld door en voor MBO en HO studenten en is een adventure game over mediawijsheid.
Karel Millenaar @ SURF Summerschool 09kirstenveelo
Karel Millenaar (HKU) doceert Game Design. In de presentatie op de SURF Summerschool Serious Gaming vertelde hij over designmethode en meest belangrijke elementen van games.
Joost Schouten (Bitpress Educatie BV) gaf op de SURF Summerschool een presentatie over de Poppodium game, dat op Hogeschool INHolland wordt ingezet voor studenten Eventmanagement.
Henk van den Brink @ SURF Summerschool 09kirstenveelo
Henk van den Brink (Open Universiteit) gaf op de SURF Summerschool Serious Gaming de presentatie over EMERGO, software toolkit waarmee het Hoger Onderwijs serious games tbv ervaringsgebaseerd leren kunnen ontwikkelen.
Frank Niesten gaf op de SURF Summerschool Serious Gaming de presentatie over gebruik van Mscape voor het ontwerpen en ontwikkelen van locatiegebaseerde games/ interactieve gps tochten voor het Hoger Onderwijs
Renee Filius gaf tijdens de SURF Summerschool Serious Gaming haar onderwijskundige visie op het ontwerpen en gebruiken van serious games voor het Hoger Onderwijs.
Op 9 juni 2009 gaf Kirsten Veelo op het Heliview congres ICT & Onderwijs 2009 een presentatie over het project Mobiele toepassingen van het SURFnet Kennisnet Innovatieprogramma.
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.
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.
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
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.
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.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
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.
4. % students S&T Bron: Rand Corporation 2005. Stimulating Science and Technology in Higher Education
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7. Target group learning (now) working (future) extrinsic drive intrinsic drive what can I become? what can I contribute? what can I do? what can I learn?
19. Target group learning (now) working (future) extrinsic drive internal drive video clips speed dates with professionals online debates & science cafes do research projects with professers experiments / projects at school (carboschools)
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Editor's Notes
% van studenten in het hoger onderwijs dat S%T studeert van 1980 -2002 NL staat met een zwarte lijn helemaal onderaan. Hoe komt dat??
% van studenten in het hoger onderwijs dat S%T studeert van 1980 -2002 NL staat met een zwarte lijn helemaal onderaan. Hoe komt dat??
