https://www.bibsonomy.org/tag/evaluationBibSonomy RSS Feed for /tag/evaluationProgramme evaluation in education: discover the definition of this term and learn about UNESCO’s actions and initiatives related to this topic.https://www.unesco.org/en/query-list/p/programme-evaluation-educationyish2026-10-17T15:11:42+02:00evaluation program הערכה הערכת-תוכניות-2026 <span itemprop="description">Programme evaluation in education: discover the definition of this term and learn about UNESCO’s actions and initiatives related to this topic.</span>The Program Evaluation Toolkit presents a step-by-step process for conducting your own program evaluation. The Quick Start Guide will help you decide if you are ready to use this toolkit and where to start.Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. Designed to be used in a variety of education settings, the toolkit focuses on the practical application of program evaluation for all users. The toolkit can also build your understanding of program evaluation so that you can be better equipped to understand the evaluation process and use evaluation practices.The toolkit includes eight modules that begin at the planning stages of an evaluation and progress to the presentation of findings to stakeholders. Each module covers a critical step in the evaluation process.The toolkit includes guided instructional videos that provide an overview of each stage in the evaluation process. It also includes handouts, worksheets, and tools to help you conduct your own evaluation. Resources in the toolkit will help you create a logic model, develop evaluation questions, identify data sources, develop data collection instruments, conduct basic analyses, and disseminate findings.https://ies.ed.gov/use-work/resource-library/resource/tooltoolkit/program-evaluation-toolkityish2026-10-17T15:11:27+02:00evaluation program הערכה הערכת-תוכניות-2026 <span itemprop="description">The Program Evaluation Toolkit presents a step-by-step process for conducting your own program evaluation. The Quick Start Guide will help you decide if you are ready to use this toolkit and where to start.Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. Designed to be used in a variety of education settings, the toolkit focuses on the practical application of program evaluation for all users. The toolkit can also build your understanding of program evaluation so that you can be better equipped to understand the evaluation process and use evaluation practices.The toolkit includes eight modules that begin at the planning stages of an evaluation and progress to the presentation of findings to stakeholders. Each module covers a critical step in the evaluation process.The toolkit includes guided instructional videos that provide an overview of each stage in the evaluation process. It also includes handouts, worksheets, and tools to help you conduct your own evaluation. Resources in the toolkit will help you create a logic model, develop evaluation questions, identify data sources, develop data collection instruments, conduct basic analyses, and disseminate findings.</span>https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdfscch2026-06-23T15:19:40+02:00Evaluation Robust SimilarityQueries <a itemprop="url" data-versiondate="2026-06-23T15:19:40+02:00" href="https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf" rel="nofollow" class="description-link">https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf</a>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 inhttps://www.pflegeinnovationszentrum.de/bdarocha2026-02-12T15:59:34+01:00Befragung Empirische_Sozialforschung Evaluation Forschung Gesundheitspolitik IPP Niedersachsen Oldenburg SOCIUM bremen <span itemprop="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</span>https://dl.acm.org/doi/abs/10.1145/3644032.3644445scch2026-01-28T13:14:04+01:00Evaluation Monitoring Testing <a itemprop="url" data-versiondate="2026-01-28T13:14:04+01:00" href="https://dl.acm.org/doi/abs/10.1145/3644032.3644445" rel="nofollow" class="description-link">https://dl.acm.org/doi/abs/10.1145/3644032.3644445</a>Detailed intelligence benchmarking methodology for LLM quality evaluations.https://artificialanalysis.ai/methodology/intelligence-benchmarkinghotho2026-01-03T11:20:30+01:00AI LLM analysis artificial benchmark evaluation intelligence <span itemprop="description">Detailed intelligence benchmarking methodology for LLM quality evaluations.</span>The Teacher Ready evaluation tool helps standardize the evaluation of edtech products, focusing on the user experience.https://teacher-ready.iste.org/yish2024-07-10T18:22:55+02:00edtech evaluation index review score standards tool <span itemprop="description">The Teacher Ready evaluation tool helps standardize the evaluation of edtech products, focusing on the user experience.</span>This solves and displays the result of many JavaScript mathematical functions and expressions.http://www.csgnetwork.com/expresscalc.htmlglonga2023-08-17T01:21:33+02:00Calculator Evaluation Expression JavaScript Online <span itemprop="description">This solves and displays the result of many JavaScript mathematical functions and expressions.</span>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.https://lmsys.org/blog/2023-03-30-vicuna/ghagerer2023-07-03T07:53:39+02:00architecture deployment evaluation llama llms open-source <span itemprop="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.</span>The ultimate guide to chatbot analytics. Find out what bot metrics and KPIs you should measure and discover easy ways to optimize your chatbot performance.https://www.tidio.com/blog/chatbot-analytics/ghagerer2023-05-29T17:51:23+02:00Chatgpt evaluation kpis metrics <span itemprop="description">The ultimate guide to chatbot analytics. Find out what bot metrics and KPIs you should measure and discover easy ways to optimize your chatbot performance.</span>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?https://www.visiativ.com/en/actualites/news/measuring-chatbot-effectiveness/ghagerer2023-05-29T17:49:39+02:00ChatGPT chatbots evaluation kpis <span itemprop="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?</span>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.https://innspubnet.blogspot.com/2023/04/evaluation-of-talisay-terminalia.htmlinnspubnet2023-04-09T10:55:18+02:00Acceptability By-products Sensory catappa evaluation nuts talisay terminalia <span itemprop="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.</span>Invited talk by Katrien Verbert at NEC Laboratories Europe on Oct. 24, 2022https://www.slideshare.net/kverbert/humancentered-ai-how-can-we-support-lay-users-to-understand-aiereidt2022-10-30T11:45:59+01:00artificialintelligence evaluation human-centred learninganalytics recommender research slideshare support usecase <span itemprop="description">Invited talk by Katrien Verbert at NEC Laboratories Europe on Oct. 24, 2022</span>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.https://learningsolutionsmag.com/articles/don-t-just-give-me-all-the-data-align-kpis-with-xapiereidt2022-10-23T15:26:17+02:00LMS LRS alignment evaluation instructionaldesign interaction learninganalytics measurement reporting strategy xAPI <span itemprop="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.</span>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.https://wonkhe.com/blogs/how-to-support-students-to-feel-valued-and-understood-in-an-increasingly-digital-world-2/ereidt2022-10-05T21:53:17+02:00data digitalisation engagement evaluation interaction learninganalytics practice students support university <span itemprop="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.</span>Demonstration on 2022-09-08, paper 64https://www.youtube.com/watch?v=h1reUSiI1yAereidt2022-09-18T10:10:53+02:00applications communication evaluation instructionaldesign learninganalytics recommender scoring tool video <span itemprop="description">Demonstration on 2022-09-08, paper 64</span>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.https://anchor.fm/dinitus/episodes/Learning-Analytics--Teil-2-e1kpu0cereidt2022-09-18T09:26:40+02:00edtech evaluation evidence fairness highered learninganalytics podcast stakeholder <span itemprop="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.</span>https://www.nature.com/articles/s41598-022-14395-4#citeasbecker2022-09-02T17:34:19+02:00analysis component critique evaluation pca principle <a itemprop="url" data-versiondate="2022-09-02T17:34:19+02:00" href="https://www.nature.com/articles/s41598-022-14395-4#citeas" rel="nofollow" class="description-link">https://www.nature.com/articles/s41598-022-14395-4#citeas</a>Keynote by Katrien Verbert at Women @ RecSys pre-conference series on Aug. 24, 2022https://www.slideshare.net/kverbert/explaining-recommendations-design-implications-and-lessons-learnedereidt2022-08-28T11:44:35+02:00evaluation explainableAI implications learninganalytics learningdesign lessonslearned recommender slideshare visualization <span itemprop="description">Keynote by Katrien Verbert at Women @ RecSys pre-conference series on Aug. 24, 2022</span>Net[t]-working | Der eLearning-Blog der RUB Von Diana Meier|21. Juli 2022https://elearning.blogs.ruhr-uni-bochum.de/kiedu-nrw-learning-analytics-in-der-hochschulbildung/ereidt2022-07-24T12:00:58+02:00artificialintelligence assessment didactics edtech ethics evaluation highered interdisciplinary learninganalytics project <span itemprop="description">Net[t]-working | Der eLearning-Blog der RUB Von Diana Meier|21. Juli 2022</span>