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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/concept/tag/evaluation"><title>BibSonomy bookmarks for /concept/tag/evaluation</title><link>https://www.bibsonomy.org/concept/tag/evaluation</link><description>BibSonomy RSS Feed for /concept/tag/evaluation</description><items><rdf:Seq><rdf:li rdf:resource="https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf"/><rdf:li rdf:resource="https://www.pflegeinnovationszentrum.de/"/><rdf:li rdf:resource="https://dl.acm.org/doi/abs/10.1145/3644032.3644445"/><rdf:li rdf:resource="https://artificialanalysis.ai/methodology/intelligence-benchmarking"/><rdf:li rdf:resource="https://teacher-ready.iste.org/"/><rdf:li rdf:resource="http://www.csgnetwork.com/expresscalc.html"/><rdf:li rdf:resource="https://lmsys.org/blog/2023-03-30-vicuna/"/><rdf:li rdf:resource="https://www.tidio.com/blog/chatbot-analytics/"/><rdf:li rdf:resource="https://www.visiativ.com/en/actualites/news/measuring-chatbot-effectiveness/"/><rdf:li rdf:resource="https://innspubnet.blogspot.com/2023/04/evaluation-of-talisay-terminalia.html"/><rdf:li rdf:resource="https://www.slideshare.net/kverbert/humancentered-ai-how-can-we-support-lay-users-to-understand-ai"/><rdf:li rdf:resource="https://learningsolutionsmag.com/articles/don-t-just-give-me-all-the-data-align-kpis-with-xapi"/><rdf:li rdf:resource="https://wonkhe.com/blogs/how-to-support-students-to-feel-valued-and-understood-in-an-increasingly-digital-world-2/"/><rdf:li rdf:resource="https://www.youtube.com/watch?v=h1reUSiI1yA"/><rdf:li rdf:resource="https://anchor.fm/dinitus/episodes/Learning-Analytics--Teil-2-e1kpu0c"/><rdf:li rdf:resource="https://www.nature.com/articles/s41598-022-14395-4#citeas"/><rdf:li rdf:resource="https://www.slideshare.net/kverbert/explaining-recommendations-design-implications-and-lessons-learned"/><rdf:li rdf:resource="https://elearning.blogs.ruhr-uni-bochum.de/kiedu-nrw-learning-analytics-in-der-hochschulbildung/"/><rdf:li rdf:resource="https://www.davidsbatista.net/blog/2018/05/09/Named_Entity_Evaluation/"/><rdf:li rdf:resource="https://www.youtube.com/watch?v=gGfmxrFxl-8"/></rdf:Seq></items></channel><item rdf:about="https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf"><title>Extensible and Robust Evaluation of Similarity Queries</title><description></description><link>https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf</link><dc:creator>scch</dc:creator><dc:date>2026-06-23T15:19:40+02:00</dc:date><dc:subject>Evaluation Robust SimilarityQueries </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-06-23T15:19:40+02:00&#034; href=&#034;https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Robust"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/SimilarityQueries"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.pflegeinnovationszentrum.de/"><title>PIZ – Pflegeinnovationszentrum</title><description>Willkommen auf der Webseite des Pflegeinnovationszentrums Die Sicherstellung der Pflege ist eine der größten Herausforderungen der Zukunft. Der Einsatz neuer Technik ist ein vielversprechender Weg, dem ansonsten zu erwartenden Pflegenotstand mit innovativen Ansätzen der Mensch-Technik Interaktion entgegenzutreten. In den letzten Jahren wurden viele innovative technologische Entwicklungen im Pflegekontext vorangetrieben. Deren Integration in</description><link>https://www.pflegeinnovationszentrum.de/</link><dc:creator>bdarocha</dc:creator><dc:date>2026-02-12T15:59:34+01:00</dc:date><dc:subject>bremen Niedersachsen SOCIUM Oldenburg Evaluation IPP Empirische_Sozialforschung Gesundheitspolitik Befragung Forschung </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Willkommen auf der Webseite des Pflegeinnovationszentrums Die Sicherstellung der Pflege ist eine der größten Herausforderungen der Zukunft. Der Einsatz neuer Technik ist ein vielversprechender Weg, dem ansonsten zu erwartenden Pflegenotstand mit innovativen Ansätzen der Mensch-Technik Interaktion entgegenzutreten. 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Deren Integration in&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bremen"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Niedersachsen"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/SOCIUM"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Oldenburg"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/IPP"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Empirische_Sozialforschung"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Gesundheitspolitik"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Befragung"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Forschung"/></rdf:Bag></taxo:topics></item><item rdf:about="https://dl.acm.org/doi/abs/10.1145/3644032.3644445"><title>An Overview of Microservice-Based Systems Used for Evaluation in Testing and Monitoring: A Systematic Mapping Study</title><description></description><link>https://dl.acm.org/doi/abs/10.1145/3644032.3644445</link><dc:creator>scch</dc:creator><dc:date>2026-01-28T13:14:04+01:00</dc:date><dc:subject>Testing Monitoring Evaluation </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-01-28T13:14:04+01:00&#034; href=&#034;https://dl.acm.org/doi/abs/10.1145/3644032.3644445&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://dl.acm.org/doi/abs/10.1145/3644032.3644445&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Testing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Monitoring"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Evaluation"/></rdf:Bag></taxo:topics></item><item rdf:about="https://artificialanalysis.ai/methodology/intelligence-benchmarking"><title>Intelligence Benchmarking | Artificial Analysis</title><description>Detailed intelligence benchmarking methodology for LLM quality evaluations.</description><link>https://artificialanalysis.ai/methodology/intelligence-benchmarking</link><dc:creator>hotho</dc:creator><dc:date>2026-01-03T11:20:30+01:00</dc:date><dc:subject>artificial evaluation AI analysis LLM intelligence benchmark </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Detailed intelligence benchmarking methodology for LLM quality evaluations.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/artificial"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/AI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analysis"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LLM"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/intelligence"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/benchmark"/></rdf:Bag></taxo:topics></item><item rdf:about="https://teacher-ready.iste.org/"><title>Teacher Ready Evaluation Tool:Home</title><description>The Teacher Ready evaluation tool helps standardize the evaluation of edtech products, focusing on the user experience.</description><link>https://teacher-ready.iste.org/</link><dc:creator>yish</dc:creator><dc:date>2024-07-10T18:22:55+02:00</dc:date><dc:subject>tool score standards edtech evaluation review index </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;The Teacher Ready evaluation tool helps standardize the evaluation of edtech products, focusing on the user experience.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tool"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/score"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/standards"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/edtech"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/review"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/index"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.csgnetwork.com/expresscalc.html"><title>Expression Evaluation Calculator</title><description>This solves and displays the result of many JavaScript mathematical functions and expressions.</description><link>http://www.csgnetwork.com/expresscalc.html</link><dc:creator>glonga</dc:creator><dc:date>2023-08-17T01:21:33+02:00</dc:date><dc:subject>Calculator Evaluation JavaScript Expression Online </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This solves and displays the result of many JavaScript mathematical functions and expressions.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Calculator"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/JavaScript"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Expression"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Online"/></rdf:Bag></taxo:topics></item><item rdf:about="https://lmsys.org/blog/2023-03-30-vicuna/"><title>Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality | LMSYS Org</title><description>We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. The code and weights, along with an online demo, are publicly available for non-commercial use.</description><link>https://lmsys.org/blog/2023-03-30-vicuna/</link><dc:creator>ghagerer</dc:creator><dc:date>2023-07-03T07:53:39+02:00</dc:date><dc:subject>llama evaluation llms open-source architecture deployment </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. 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Find out what bot metrics and KPIs you should measure and discover easy ways to optimize your chatbot performance.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Chatgpt"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/metrics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/kpis"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.visiativ.com/en/actualites/news/measuring-chatbot-effectiveness/"><title> Measuring chatbot effectiveness - Visiativ Chatbot Solutions</title><description>These measurements are indispensable for tracking the results of your chatbot, identifying any stumbling blocks and continuously improving its performance. But which metrics should you choose?</description><link>https://www.visiativ.com/en/actualites/news/measuring-chatbot-effectiveness/</link><dc:creator>ghagerer</dc:creator><dc:date>2023-05-29T17:49:39+02:00</dc:date><dc:subject>chatbots ChatGPT evaluation kpis </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;These measurements are indispensable for tracking the results of your chatbot, identifying any stumbling blocks and continuously improving its performance. But which metrics should you choose?&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/chatbots"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ChatGPT"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/kpis"/></rdf:Bag></taxo:topics></item><item rdf:about="https://innspubnet.blogspot.com/2023/04/evaluation-of-talisay-terminalia.html"><title>Evaluation of Talisay (Terminalia catappa) nuts by-products | IJAAR 2022</title><description>This is a sequel test after the chemical analysis and microbiological procedures have been conducted. The study determined the level of acceptability of the by-product of Talisay (Terminalia catappa) nuts specifically; Talisay Nuts Polvoron, Glazed Talisay Nuts, and Sugar-coated Talisay Nuts using sensory evaluation as to appearance, taste, aroma, sweetness, and texture. The responses of the food inclined participants are described yielding from the Hedonic Tests conducted and statistically treated. Results concluded that the developed products are remarkably acceptable and marketable.</description><link>https://innspubnet.blogspot.com/2023/04/evaluation-of-talisay-terminalia.html</link><dc:creator>innspubnet</dc:creator><dc:date>2023-04-09T10:55:18+02:00</dc:date><dc:subject>By-products nuts evaluation catappa Sensory talisay Acceptability terminalia </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This is a sequel test after the chemical analysis and microbiological procedures have been conducted. The study determined the level of acceptability of the by-product of Talisay (Terminalia catappa) nuts specifically; Talisay Nuts Polvoron, Glazed Talisay Nuts, and Sugar-coated Talisay Nuts using sensory evaluation as to appearance, taste, aroma, sweetness, and texture. The responses of the food inclined participants are described yielding from the Hedonic Tests conducted and statistically treated. Results concluded that the developed products are remarkably acceptable and marketable.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/By-products"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nuts"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/catappa"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Sensory"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/talisay"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Acceptability"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/terminalia"/></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>usecase evaluation slideshare learninganalytics human-centred artificialintelligence recommender support research </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/usecase"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/slideshare"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/human-centred"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/artificialintelligence"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/recommender"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/support"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/></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 xAPI evaluation learninganalytics instructionaldesign measurement interaction LRS alignment strategy reporting </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/xAPI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/instructionaldesign"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/measurement"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/interaction"/><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/strategy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/reporting"/></rdf:Bag></taxo:topics></item><item rdf:about="https://wonkhe.com/blogs/how-to-support-students-to-feel-valued-and-understood-in-an-increasingly-digital-world-2/"><title>How to support students to feel valued and understood in an increasingly digital world. | Wonkhe</title><description>Sunday Blake dives into the latest in learning analytics and engagement data, and asks how universities can act upon it to make our interactions with students more human.</description><link>https://wonkhe.com/blogs/how-to-support-students-to-feel-valued-and-understood-in-an-increasingly-digital-world-2/</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-05T21:53:17+02:00</dc:date><dc:subject>engagement practice university digitalisation students evaluation data learninganalytics interaction support </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Sunday Blake dives into the latest in learning analytics and engagement data, and asks how universities can act upon it to make our interactions with students more human.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/engagement"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/practice"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/university"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/digitalisation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/students"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/interaction"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/support"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.youtube.com/watch?v=h1reUSiI1yA"><title>iTeachApp</title><description>Demonstration on 2022-09-08, paper 64</description><link>https://www.youtube.com/watch?v=h1reUSiI1yA</link><dc:creator>ereidt</dc:creator><dc:date>2022-09-18T10:10:53+02:00</dc:date><dc:subject>tool scoring evaluation learninganalytics instructionaldesign video recommender applications communication </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Demonstration on 2022-09-08, paper 64&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tool"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/scoring"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/instructionaldesign"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/video"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/recommender"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/applications"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/communication"/></rdf:Bag></taxo:topics></item><item rdf:about="https://anchor.fm/dinitus/episodes/Learning-Analytics--Teil-2-e1kpu0c"><title>Learning Analytics – Teil 2 by DINItus</title><description>In dieser Fortsetzungsfolge zum Thema Learning Analytics erläutern Marius Wehner und Lynn Schmodde von der Wirtschaftswissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf das Verbundprojekt Fair Enough. Zur Fairness von Learning Analytics-Systemen legen sie empirische Evaluationsergebnisse verschiedener Stakeholder-Gruppen dar und geben einen Ausblick auf zukünftige Entwicklungen. Interviewer in Folge 12 des  DINItus Podcasts ist Erik Reidt vom ZIM/Multimediazentrum der HHU Düsseldorf.</description><link>https://anchor.fm/dinitus/episodes/Learning-Analytics--Teil-2-e1kpu0c</link><dc:creator>ereidt</dc:creator><dc:date>2022-09-18T09:26:40+02:00</dc:date><dc:subject>podcast fairness edtech evidence evaluation learninganalytics highered stakeholder </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;In dieser Fortsetzungsfolge zum Thema Learning Analytics erläutern Marius Wehner und Lynn Schmodde von der Wirtschaftswissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf das Verbundprojekt Fair Enough. Zur Fairness von Learning Analytics-Systemen legen sie empirische Evaluationsergebnisse verschiedener Stakeholder-Gruppen dar und geben einen Ausblick auf zukünftige Entwicklungen. Interviewer in Folge 12 des  DINItus Podcasts ist Erik Reidt vom ZIM/Multimediazentrum der HHU Düsseldorf.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/podcast"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/fairness"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/edtech"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evidence"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/highered"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stakeholder"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.nature.com/articles/s41598-022-14395-4#citeas"><title>Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated</title><description></description><link>https://www.nature.com/articles/s41598-022-14395-4#citeas</link><dc:creator>becker</dc:creator><dc:date>2022-09-02T17:34:19+02:00</dc:date><dc:subject>component principle evaluation critique analysis pca </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-09-02T17:34:19+02:00&#034; href=&#034;https://www.nature.com/articles/s41598-022-14395-4#citeas&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.nature.com/articles/s41598-022-14395-4#citeas&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/component"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/principle"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/critique"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analysis"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/pca"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.slideshare.net/kverbert/explaining-recommendations-design-implications-and-lessons-learned"><title>Explaining recommendations: design implications and lessons learned</title><description>Keynote by Katrien Verbert at Women @ RecSys pre-conference series on Aug. 24, 2022</description><link>https://www.slideshare.net/kverbert/explaining-recommendations-design-implications-and-lessons-learned</link><dc:creator>ereidt</dc:creator><dc:date>2022-08-28T11:44:35+02:00</dc:date><dc:subject>visualization evaluation slideshare learninganalytics implications recommender learningdesign explainableAI lessonslearned </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Keynote by Katrien Verbert at Women @ RecSys pre-conference series on Aug. 24, 2022&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/visualization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/slideshare"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/implications"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/recommender"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learningdesign"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/explainableAI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/lessonslearned"/></rdf:Bag></taxo:topics></item><item rdf:about="https://elearning.blogs.ruhr-uni-bochum.de/kiedu-nrw-learning-analytics-in-der-hochschulbildung/"><title>KI:edu.nrw – Learning Analytics in der Hochschulbildung</title><description>Net[t]-working | Der eLearning-Blog der RUB
Von Diana Meier|21. Juli 2022</description><link>https://elearning.blogs.ruhr-uni-bochum.de/kiedu-nrw-learning-analytics-in-der-hochschulbildung/</link><dc:creator>ereidt</dc:creator><dc:date>2022-07-24T12:00:58+02:00</dc:date><dc:subject>didactics assessment ethics edtech evaluation project learninganalytics highered artificialintelligence interdisciplinary </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Net[t]-working | Der eLearning-Blog der RUB
Von Diana Meier|21. Juli 2022&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/didactics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/assessment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ethics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/edtech"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/project"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/highered"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/artificialintelligence"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/interdisciplinary"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.davidsbatista.net/blog/2018/05/09/Named_Entity_Evaluation/"><title>Named-Entity evaluation metrics based on entity-level</title><description>Named-Entity evaluation metrics based on entity-level</description><link>https://www.davidsbatista.net/blog/2018/05/09/Named_Entity_Evaluation/</link><dc:creator>jaeschke</dc:creator><dc:date>2022-07-18T16:24:26+02:00</dc:date><dc:subject>nlp named evaluation metric resolution ner entity </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Named-Entity evaluation metrics based on entity-level&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nlp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/named"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/metric"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/resolution"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ner"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/entity"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.youtube.com/watch?v=gGfmxrFxl-8"><title>3 Pitfalls of AI</title><description>Artificial intelligence in higher education isn&#039;t without its risks. Here are three possible trouble spots for the use of AI. Elana Zeide is Associate Professor of Law at the University of Nebraska.</description><link>https://www.youtube.com/watch?v=gGfmxrFxl-8</link><dc:creator>ereidt</dc:creator><dc:date>2022-06-19T11:47:05+02:00</dc:date><dc:subject>pitfalls grading evaluation learninganalytics proctoring video artificialintelligence automatedcompositionapplications </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Artificial intelligence in higher education isn&amp;#039;t without its risks. Here are three possible trouble spots for the use of AI. Elana Zeide is Associate Professor of Law at the University of Nebraska.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/pitfalls"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/grading"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/proctoring"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/video"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/artificialintelligence"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/automatedcompositionapplications"/></rdf:Bag></taxo:topics></item></rdf:RDF>