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itemprop=&#034;description&#034;&gt;In this article, Luciano Floridi argues that the development of AI in terms of successful agency without intelligence does not lead to any fanciful realisation of science fiction scenarios (Singularity), which are at best distracting and at worst irresponsible.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/artificialintelligence"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/distraction"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/edtech"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ethics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/paper"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/singularity"/></rdf:Bag></taxo:topics></item><item rdf:about="https://plagiarism.iu.edu/apt/aect2022APTFruitfulMethod.html"><title>Analysis of Patterns in Time: A Fruitful Method for Investigating 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13/10/2022 | Teresa Bau&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/enhancement"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/highered"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mathematics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/onlinelearning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/personalizedlearning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/practice"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.slideshare.net/kverbert/humancentered-ai-how-can-we-support-lay-users-to-understand-ai"><title>Human-centered AI: how can we support lay users to understand AI?</title><description>Invited talk by Katrien Verbert at NEC Laboratories Europe on Oct. 24, 2022</description><link>https://www.slideshare.net/kverbert/humancentered-ai-how-can-we-support-lay-users-to-understand-ai</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-30T11:45:59+01:00</dc:date><dc:subject>artificialintelligence evaluation human-centred learninganalytics recommender research slideshare support usecase </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Invited talk by Katrien Verbert at NEC Laboratories Europe on Oct. 24, 2022&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/artificialintelligence"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/human-centred"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/recommender"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/slideshare"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/support"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/usecase"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.philhum.unibe.ch/ueber_uns/kommunikation/phil_hum_podcast/index_ger.html"><title>Mit Hilfe von Daten das Lernen optimieren</title><description>Episode 3 | Oktober 2022 | Dr. Natalie Borter
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At the Seventeenth European Conference on Technology Enhanced Learning (EC-TEL 2022)
Toulouse, France, September 12th-16th, 2022.</description><link>http://ceur-ws.org/Vol-3247/</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-30T11:37:33+01:00</dc:date><dc:subject>conference edtech immersivelearning learninganalytics multimodaldata papers proceedings workshop </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems (MILeS 2022)
At the Seventeenth European Conference on Technology Enhanced Learning (EC-TEL 2022)
Toulouse, France, September 12th-16th, 2022.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/conference"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/edtech"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/immersivelearning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/multimodaldata"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/papers"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/proceedings"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/workshop"/></rdf:Bag></taxo:topics></item><item rdf:about="https://open.spotify.com/episode/4jubcekBXpDQvhb7P1nn3q"><title>#12 Learning Analytics in einer digitalisierten Gesellschaft</title><description>Podcast-Folge | Lehrenden Talk
</description><link>https://open.spotify.com/episode/4jubcekBXpDQvhb7P1nn3q</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-23T15:46:09+02:00</dc:date><dc:subject>e-learning e-teaching highered learninganalytics podcast practice </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Podcast-Folge | Lehrenden Talk
&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/e-learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/e-teaching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/highered"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/podcast"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/practice"/></rdf:Bag></taxo:topics></item><item rdf:about="https://learningsolutionsmag.com/articles/don-t-just-give-me-all-the-data-align-kpis-with-xapi"><title>Don’t Just Give Me All the Data - Align KPIs with xAPI | Learning Solutions Magazine</title><description>The Experience API (xAPI) allows us to collect data about any type of learning experience or activity, but does that mean we should? Should we generate massive amounts of xAPI data for every possible type of interaction and then expect to make sense of it all later? This approach can be costly in terms of data storage, but also in terms of your time.</description><link>https://learningsolutionsmag.com/articles/don-t-just-give-me-all-the-data-align-kpis-with-xapi</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-23T15:26:17+02:00</dc:date><dc:subject>LMS LRS alignment evaluation instructionaldesign interaction learninganalytics measurement reporting strategy xAPI </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;The Experience API (xAPI) allows us to collect data about any type of learning experience or activity, but does that mean we should? Should we generate massive amounts of xAPI data for every possible type of interaction and then expect to make sense of it all later? This approach can be costly in terms of data storage, but also in terms of your time.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LMS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LRS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/instructionaldesign"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/interaction"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/measurement"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/reporting"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/strategy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/xAPI"/></rdf:Bag></taxo:topics></item><item rdf:about="https://soundcloud.com/user-916492194/episode-18-explainable-models-for-learning-analytics"><title>Episode 18: Explainable models for Learning Analytics | Listen online for free on SoundCloud</title><description>SoLAR Spotlight–Conversations on LearningAnalytics</description><link>https://soundcloud.com/user-916492194/episode-18-explainable-models-for-learning-analytics</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-23T11:52:53+02:00</dc:date><dc:subject>SoLAR algorithms deployment education explainableAI learninganalytics modeldevelopment podcast </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;SoLAR Spotlight–Conversations on LearningAnalytics&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/SoLAR"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithms"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deployment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/education"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/explainableAI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/modeldevelopment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/podcast"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.edsurge.com/news/2022-10-14-can-analyzing-clicks-in-digital-systems-predict-which-students-are-struggling-it-depends"><title>Can Analyzing Clicks in Digital Systems Predict Which Students Are Struggling? It Depends.</title><description>By Jeffrey R. Young on Oct 14, 2022 | EdSurge Higher Education</description><link>https://www.edsurge.com/news/2022-10-14-can-analyzing-clicks-in-digital-systems-predict-which-students-are-struggling-it-depends</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-16T11:10:39+02:00</dc:date><dc:subject>LMS clickstreamdata dashboard highered learninganalytics nudging outcomes predictivemodeling research struggling studentsuccess </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;By Jeffrey R. Young on Oct 14, 2022 | EdSurge Higher Education&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LMS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/clickstreamdata"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dashboard"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/highered"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nudging"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/outcomes"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/predictivemodeling"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/struggling"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/studentsuccess"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.slideshare.net/BartRienties/edutecheurope-keynote-presentation-implementing-learning-analytics-and-learning-design-at-scale"><title>Edutech_Europe Keynote Presentation: Implementing learning analytics and learning design at scale</title><description>This keynote by Bart Rienties on Oct. 06, 2022 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</description><link>https://www.slideshare.net/BartRienties/edutecheurope-keynote-presentation-implementing-learning-analytics-and-learning-design-at-scale</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-16T10:46:41+02:00</dc:date><dc:subject>OU effectiveness highered implementation learninganalytics learningdesign organization slideshare staff support </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This keynote by Bart Rienties on Oct. 06, 2022 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&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/OU"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/effectiveness"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/highered"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/implementation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learningdesign"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/organization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/slideshare"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/staff"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/support"/></rdf:Bag></taxo:topics></item></rdf:RDF>