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rdf:about="https://hal.science/hal-05588414v1"><title>Effects of a BOPPPS-Integrated Treenity Blended Teaching Model on Undergraduate EFL Writing: A Quasi-Experimental Study - Archive ouverte HAL</title><description>This study investigated whether a BOPPPS-integrated Treenity blended teaching model could improve undergraduate EFL writing, self-regulated learning, and critical thinking in a context where process-oriented writing instruction had to be implemented within limited class time. A quasi-experimental pre-test/post-test design was conducted over one semester with 49 second-year undergraduates (24 in the experimental group and 25 in the control group). The experimental group received a blended treatment combining the six-stage BOPPPS framework with Treenity-supported platform, whereas the control group followed a more conventional teacher-led approach. Data were collected through pre- and post-writing tests, a self-regulated learning questionnaire, and a critical thinking disposition questionnaire. Results show that the experimental group showed significantly better post-test outcomes after controlling for pre-test scores in writing achievement, self-regulated learning, and critical thinking disposition. The findings indicate that the model supported not only better writing performance but also stronger learning management and more reflective engagement. The study contributes local evidence on blended EFL writing pedagogy by showing how a structured BOPPPS design and a Chinese online platform can be integrated in an undergraduate writing course.</description><link>https://hal.science/hal-05588414v1</link><dc:creator>sarra.hocini</dc:creator><dc:date>2026-08-07T13:57:40+02:00</dc:date><dc:subject>Blended Critical EFL learning thinking writing </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This study investigated whether a BOPPPS-integrated Treenity blended teaching model could improve undergraduate EFL writing, self-regulated learning, and critical thinking in a context where process-oriented writing instruction had to be implemented within limited class time. A quasi-experimental pre-test/post-test design was conducted over one semester with 49 second-year undergraduates (24 in the experimental group and 25 in the control group). 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From chatbots and recommendation systems to the prevention of fraud cases, innovations in healthcare, self-driving cars, and much more, data science is the force that drives the technologies of tomorrow. If you are ready to take the next step in engineering, B.Tech Computer Science &amp; Engineering – Data Science will give you access to one of the most sought-after career options.
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From chatbots and recommendation systems to the prevention of fraud cases, innovations in healthcare, self-driving cars, and much more, data science is the force that drives the technologies of tomorrow. If you are ready to take the next step in engineering, B.Tech Computer Science &amp;amp; Engineering – Data Science will give you access to one of the most sought-after career options.
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We empower students, graduates, and professionals with industry-relevant training, AI-powered learning, and real-world exposure to help them succeed in today’s competitive job market.</description><link>https://nextonlearning.com/</link><dc:creator>nextolearning</dc:creator><dc:date>2026-07-20T20:30:43+02:00</dc:date><dc:subject>&amp; artificial intelligence learning machine </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Nexton Learning is an innovative EdTech platform focused on solving one of India’s biggest challenges — unemployment caused by lack of job-ready skills. We empower students, graduates, and professionals with industry-relevant training, AI-powered learning, and real-world exposure to help them succeed in today’s competitive job market.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/&amp;"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/artificial"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/intelligence"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.tpointtech.com/machine-learning-interview-questions"><title>Top Machine Learning Interview Questions and Answers for Freshers &amp; Experienced</title><description>Preparing for a Machine Learning interview? This comprehensive guide covers the most frequently asked Machine Learning interview questions with clear, beginner-friendly answers. 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SIIT offers comprehensive IT Diploma Online Learning programs with flexible schedules and industry-focused curriculum. Learn from experienced instructors and gain globally recognized certifications to boost your professional growth. 

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Address: 8 The Green Ste A, Dover, Delaware, 19901, United States&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/&#034;Diploma"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/IT"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Online&#034;"/></rdf:Bag></taxo:topics></item><item rdf:about="https://tugraz.elsevierpure.com/en/publications/social-bookmarking-as-a-component-of-e-learning/?utm_source=chatgpt.com"><title>Social Bookmarking as a Component of E-Learning - Graz University of Technology</title><description></description><link>https://tugraz.elsevierpure.com/en/publications/social-bookmarking-as-a-component-of-e-learning/?utm_source=chatgpt.com</link><dc:creator>katarinamajdak</dc:creator><dc:date>2026-03-21T09:37:57+01:00</dc:date><dc:subject>Collaboration E-Learning Learning System </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-03-21T09:37:57+01:00&#034; href=&#034;https://tugraz.elsevierpure.com/en/publications/social-bookmarking-as-a-component-of-e-learning/?utm_source=chatgpt.com&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://tugraz.elsevierpure.com/en/publications/social-bookmarking-as-a-component-of-e-learning/?utm_source=chatgpt.com&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Collaboration"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/E-Learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/System"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.researchgate.net/profile/Krishna-Kumari-R/publication/384450284_Exploring_Instagram_Influencer_Networks_A_Graph_Based_Machine_Learning_Approach/links/67f8a2f9d1054b0207d1fbac/Exploring-Instagram-Influencer-Networks-A-Graph-Based-Machine-Learning-Approach.pdf"><title>Exploring Instagram Influencer Networks: A Graph Based Machine Learning Approach</title><description></description><link>https://www.researchgate.net/profile/Krishna-Kumari-R/publication/384450284_Exploring_Instagram_Influencer_Networks_A_Graph_Based_Machine_Learning_Approach/links/67f8a2f9d1054b0207d1fbac/Exploring-Instagram-Influencer-Networks-A-Graph-Based-Machine-Learning-Approach.pdf</link><dc:creator>lucijadjurdje1</dc:creator><dc:date>2026-03-16T15:43:50+01:00</dc:date><dc:subject>instagram learning machine media social </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-03-16T15:43:50+01:00&#034; href=&#034;https://www.researchgate.net/profile/Krishna-Kumari-R/publication/384450284_Exploring_Instagram_Influencer_Networks_A_Graph_Based_Machine_Learning_Approach/links/67f8a2f9d1054b0207d1fbac/Exploring-Instagram-Influencer-Networks-A-Graph-Based-Machine-Learning-Approach.pdf&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.researchgate.net/profile/Krishna-Kumari-R/publication/384450284_Exploring_Instagram_Influencer_Networks_A_Graph_Based_Machine_Learning_Approach/links/67f8a2f9d1054b0207d1fbac/Exploring-Instagram-Influencer-Networks-A-Graph-Based-Machine-Learning-Approach.pdf&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/instagram"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/media"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social"/></rdf:Bag></taxo:topics></item><item rdf:about="https://link.springer.com/chapter/10.1007/978-3-031-77382-2_16"><title>GrammarForge: Learning Program Input Grammars for Fuzz Testing | Springer Nature Link</title><description>Providing good methods for testing properties of software is critical. 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