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izbjeghttps://tube.foi.hr/static/streaming-playlists/hls/f810b156-17e3-44da-8063-b489074de1cf/1aeb20ca-00a4-4305-abd4-7a8ef6592feb-master.m3u8https://tube.foi.hr/videos/embed/wCExTKQWREmuNf2UV8jVgn220002021-10-18T13:53:41.220ZYESDigiLitNOhttps://tube.foi.hr/w/f3uZiG8wWfPKXB6szjQB9Mhttps://tube.foi.hr/lazy-static/thumbnails/9485a08e-222a-48cb-ab72-961d79f22f3c.jpgE Digilit Lekcija 4.3 Korištenje privatne virtualne mreže VPN za sigurno dijeljenje podataka na mrežE Digilit Lekcija 4.3 Korištenje privatne virtualne mreže VPN za sigurno dijeljenje podataka na mrežhttps://tube.foi.hr/static/streaming-playlists/hls/71b94b14-6f46-4ea9-835f-fbaf49eabe29/33ecc6b4-a70c-43e9-8d79-b7c6fdef0306-master.m3u8https://tube.foi.hr/videos/embed/f3uZiG8wWfPKXB6szjQB9M159072021-10-18T13:56:09.153ZYESDigiLitNOhttps://tube.foi.hr/w/nGCZ8Ue6NPPDvPedb66CPchttps://tube.foi.hr/lazy-static/thumbnails/bcef476c-5aea-4dfd-8e87-4f94338feb3e.jpgE Digilit Lekcija 4.4 Upoznavanje kako objavljivanje online sadržaja o sebi ili drugima može imatiE Digilit Lekcija 4.4 Upoznavanje kako objavljivanje online sadržaja o sebi ili drugima može imatihttps://tube.foi.hr/static/streaming-playlists/hls/afbc749e-64b9-43a6-b31e-2b5b3feb9099/cb0c2002-1c98-4941-b574-bc58d5873e0b-master.m3u8https://tube.foi.hr/videos/embed/nGCZ8Ue6NPPDvPedb66CPc145032021-10-18T14:00:24.955ZYESDigiLitNOhttps://tube.foi.hr/w/fQwcGzG3Cy1TVkoDWXWqUkhttps://tube.foi.hr/lazy-static/thumbnails/da8c59a8-7d70-49ec-af92-30f77b93f731.jpgE Digilit Lekcija 4.5 Odabir učinkovitog i sigurnog pristupa u slučaju patnje ili svjedočenja nekakvE Digilit Lekcija 4.5 Odabir učinkovitog i sigurnog pristupa u slučaju patnje ili svjedočenja 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Objašnjene su postavke od memorije, procesora i sl. Također prikazano je kako podesiti virtualni direktorij koji je dijeljeni između virtualke i vlastitog OS, te kako napraviti preusmjeravanje portova na neki interni server u virtualci.https://tube.foi.hr/static/streaming-playlists/hls/881eb348-a5f8-4bb5-b74a-ab7abb466e9f/581bbcf4-d9ec-4986-ab7f-967eabc86c3c-master.m3u8https://tube.foi.hr/videos/embed/hNUmUXr4879GxbmABmRMZr472014092023-02-13T19:58:37.363ZpostavkevirtualboxlinuxYESMatija NovakNOhttps://tube.foi.hr/w/fA3JCRZ6NrunMHmAKFy2ishttps://tube.foi.hr/lazy-static/thumbnails/6d6f636e-4684-4e05-9583-e4c80f80cffd.jpgLinux Mint Instalacija unutar VirtualBox programaOvaj video prikazuje intalaciju Linux Mint OS-a u virtualnom okruženju korištenjem programa VirtualBox. https://tube.foi.hr/static/streaming-playlists/hls/7620ea3c-49e8-416b-8486-f15688163ae8/8e3a238b-94cd-4826-ae75-69ea46c5f121-master.m3u8https://tube.foi.hr/videos/embed/fA3JCRZ6NrunMHmAKFy2is88256312023-02-13T21:29:38.984ZinstalacijalinuxvirtualboxYESMatija NovakNOhttps://tube.foi.hr/w/3pg34mDoDFv4iGpZNKLUUyhttps://tube.foi.hr/lazy-static/thumbnails/e210b277-2456-4286-a315-c95aec55fb60.jpgKratki pregled Linux Mint OS-aU ovom videu ukratko je prikazan novo instalirani Linux Mint OS. Koje su aplikacije intalirane, kako izgleda preglednik datoteka, kako uključiti skrivene datoteke i sl.https://tube.foi.hr/static/streaming-playlists/hls/1371a664-b1be-447b-8680-4ec274478648/bafdecbe-1ae5-41dd-bcb5-d1b36006776d-master.m3u8https://tube.foi.hr/videos/embed/3pg34mDoDFv4iGpZNKLUUy74403982023-02-13T21:47:06.499ZosmintlinuxYESMatija NovakNOhttps://tube.foi.hr/w/4GPxYURCy4tg5Dx9dAWCTQhttps://tube.foi.hr/lazy-static/thumbnails/7465f7b5-4447-4317-b929-9519c8ba493d.jpgLinux struktura direktorija i osnovne naredbe na komandnoj linijiU ovom videu objasnjena je ukratko struktura direktorija i značenje pojedinih direktorija na Linux OS-u. Također prikazane su neke osnovne naredbe za rad na komandnoj liniji (terminalu). Obrađene naredbe kretanje po direktorijma, izlistavanje sadržaja direktorija, kopiranje datoteka i direktorija, brisanje datoteka i direktorija, ažuriranje sustava te instalacija programa. https://tube.foi.hr/static/streaming-playlists/hls/1dfe78ab-d166-437e-b9ae-55050ab9b15e/89b31347-0b05-4e0f-acb6-c9f19b967b38-master.m3u8https://tube.foi.hr/videos/embed/4GPxYURCy4tg5Dx9dAWCTQ95203172023-02-13T21:54:24.133Zkomandna linijastruktura direktorijalinuxYESMatija NovakNOhttps://tube.foi.hr/w/qSmpLjEHP9vbDUMWLfsdNjhttps://tube.foi.hr/lazy-static/thumbnails/d11c711c-bc7e-4c0a-b855-8b49c7013724.jpgInstalacija LAMP paketa tehnologijaU ovom videu prikazna je instalacija LAMP paketa tehnologija koji daje Apache Poslužitelj, PHP programski jezik i MySQL bazu podataka.https://tube.foi.hr/static/streaming-playlists/hls/c9631822-cbb1-4e2a-bf6c-2b89fcef2e9e/2ca56e99-7a12-400d-8dd1-2d5d7932c095-master.m3u8https://tube.foi.hr/videos/embed/qSmpLjEHP9vbDUMWLfsdNj7270312023-02-21T13:19:08.870ZlinuxintalacijaphpmysqlapacheYESMatija NovakNOhttps://tube.foi.hr/w/5XMQgZaUzpNn5LcT37TdYVhttps://tube.foi.hr/lazy-static/thumbnails/6d4e3fb5-b539-455c-bf81-a45d7bd20b18.jpgInstalacija XAMP paketa tenologijaU ovom videu prikazna je instalacija LAMP paketa tehnologija koji daje Apache Poslužitelj, PHP programski jezik i MySQL bazu podataka.https://tube.foi.hr/static/streaming-playlists/hls/282eb509-3841-4c06-9a6a-d74d54a1b46d/03df52ad-f2a2-44c8-8045-4127eccacabf-master.m3u8https://tube.foi.hr/videos/embed/5XMQgZaUzpNn5LcT37TdYV62601142023-02-21T13:30:02.430Zphpmysqlapache windowsYESMatija NovakNOhttps://tube.foi.hr/w/v9CTEr7JmoJSojCKeBNkkMhttps://tube.foi.hr/lazy-static/thumbnails/d87c7c3d-2223-4cb5-b3f9-5fb24aed6022.jpgLinux - Rad sa tekstulanim datotekama na komandnoj linijiU ovom videu prikazan je rad sad tekstualnim datotekama putem komandne linije. Obrađene su naredbe: nano, vi(m), touch, echo, tee, less i cat.https://tube.foi.hr/static/streaming-playlists/hls/ec0db4bd-ec5f-4f5b-b1b0-5e7c55de8067/a7dd6e8a-cc85-45c7-97a5-5e1e23a70ebf-master.m3u8https://tube.foi.hr/videos/embed/v9CTEr7JmoJSojCKeBNkkM49001632023-03-03T10:51:39.033ZviteeechotouchnanoYESMatija NovakNOhttps://tube.foi.hr/w/ghsrfiYXUTk4Z4KPDG5u9Chttps://tube.foi.hr/lazy-static/thumbnails/b7c8dff8-9a8a-4e49-bb5e-ea553beeb944.jpgRad sa procesima na Linux OS-uU ovom videu prikazan je osnovni način rada sa procesima u Linux OS-u. Kako pregledavati procese, kako ih pokrenuti u pozadini, baciti u pozadinu, izvaditi iz pozadine i kako prekinuti procese. Prikazane su naredbe: ps, kill, fg, bg, jobs, top i htop. Objašnjene su kombinacije tipki: ctrl+c i ctrl+z https://tube.foi.hr/static/streaming-playlists/hls/7bc54583-fb42-4915-8b3c-082a53a02f64/12ffaf2e-b4fd-4ba1-8c6f-b8c14c7c4675-master.m3u8https://tube.foi.hr/videos/embed/ghsrfiYXUTk4Z4KPDG5u9C48101272023-03-03T11:17:33.762ZkilltoppsprocesilinuxYESMatija NovakNOhttps://tube.foi.hr/w/2HzgT6SfXyd1SxQt9Cenyshttps://tube.foi.hr/lazy-static/thumbnails/dd576801-d258-4ee3-bc4a-eb5dc0c23dd5.jpgVIDEO LEKCIJA: Formalna i neformalna organizacijaVIDEO LEKCIJA: Formalna i neformalna organizacijahttps://tube.foi.hr/static/streaming-playlists/hls/0de72391-e254-41c1-90b1-8d6fe2a5e656/e791c54d-a2f1-4e65-896f-5c4724e0f73d-master.m3u8https://tube.foi.hr/videos/embed/2HzgT6SfXyd1SxQt9Cenys12560442023-03-18T12:18:25.055ZStvarna organizacijaNeformalna organizacijaFormalna organizacijaYESMain imalbasi channelNOhttps://tube.foi.hr/w/vMWGwAapihZk2twHmfrKCKhttps://tube.foi.hr/lazy-static/thumbnails/05b14410-22a4-4476-b1c4-be4612ab8ec8.jpg2023. Digital Platform Enterprise Summer School, Erasmus+ project DEMOThe first edition of the “DEMO Summer School” it to test the training methodology, training materials and learning tool in real-life setting, to understand where improvements are necessary for the second edition of the summer school. At the same time the event aims to enable students to apply the knowledge gained during the online part of the blended mobility (3 months) to solve co-operatively solve real design challenges using design sprints. The topics of the challenges will be: Digital Platform Enterprise Design, Data Visualizations, Product-Service-Systems, Digital Customer Management, Agile Organizations, Interoperability between Digital Platforms. The activity will employ an innovative blended mobility composed of a prolonged online phase and an intensive presence phase. During the presence phase, students will work in teams using design sprints and will ideate, design and create early prototypes (MVPs) of their solutions. The goal for students it to understand and apply novel working concepts, gain knowledge in new topics of the Digital Enterprise, increase their abilities to use software tools and methodologies in solving complex interdisciplinary problems. This will require them to further develop their critical and creative thinking as well as their transversal competencies and apply those using digital technologies. The activity will also provide a best practice case for universities in modernizing their curricula, narrowing the competence gap between education and skills requirements for the labor market, using innovative working methods as well as current educational topics and applications. 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The history shows that effective AI in education requires collaboration between technology, people, and teaching practice.https://tube.foi.hr/static/streaming-playlists/hls/4e91dbb2-44ac-4c59-b26c-fbc1b5284834/7c2c4383-8deb-4c7f-8f82-bd85c555f1f6-master.m3u8https://tube.foi.hr/videos/embed/aGHXK9TarF23JGWLN6uDT3393052025-09-15T20:40:36.933Zlearningteachinghigher educationartificial intelligenceYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/kDtngKqdN78dM7TJUK4bzJhttps://tube.foi.hr/lazy-static/thumbnails/462fd304-d03e-4be7-831f-e365af14f184.jpg1-03 AI in the ClassroomAI in higher education uses adaptive learning platforms, intelligent tutoring systems, and automated grading to personalise learning and give feedback. Chatbots and virtual assistants offer support beyond the classroom, while NLP powers language tools. These technologies complement professors' work, enhancing efficiency and engagement.https://tube.foi.hr/static/streaming-playlists/hls/9f1904f6-ad7b-49fc-8967-e474ff69cdb4/f55a0fc2-4e18-4aba-8701-0af8ad108dbf-master.m3u8https://tube.foi.hr/videos/embed/kDtngKqdN78dM7TJUK4bzJ502032025-09-15T20:42:08.181Zlearningteachinghigher educationartificial intelligenceYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/hXsWTzNAHwwjJ5Wgv9KRmShttps://tube.foi.hr/lazy-static/thumbnails/df3aa804-31db-4877-9769-65fd685bd4ec.jpg1-04 AI: Tool or TakeoverAI is changing higher education by adapting lessons, creating personalised learning paths, and boosting student engagement. It helps professors by reducing administrative tasks and providing data-driven insights. AI does not replace professors but shifts their role towards mentoring, creativity, and leadership. https://tube.foi.hr/static/streaming-playlists/hls/8950bb71-699d-4da8-9834-8c032368fdb6/9ba5f2bb-d662-4d88-8806-7cfc754d4ccc-master.m3u8https://tube.foi.hr/videos/embed/hXsWTzNAHwwjJ5Wgv9KRmS318022025-09-15T20:43:42.444Zlearningteachingartificial intelligencehigher educationYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/b17b34ESH29cf3GELbXV6dhttps://tube.foi.hr/lazy-static/thumbnails/4c9d0f48-c323-404a-87e7-3d34c7cf2ada.jpg1-05 AI: A Teacher s GuideAI allows for large-scale personalised learning through adaptive platforms that adjust content to individual student needs. Learner profiles guide teaching decisions, while flexible resources offer varied learning routes. AI supports professors by managing routine tasks, allowing them to focus on empathy, inspiration, and ethical guidance. https://tube.foi.hr/static/streaming-playlists/hls/50ff30dc-664f-45bd-b0cb-e4d8f1f42dda/38981675-2cc7-40b1-b13a-8e45a88f3071-master.m3u8https://tube.foi.hr/videos/embed/b17b34ESH29cf3GELbXV6d442012025-09-15T20:44:59.923Zteachinglearningartificial intelligencehigher educationYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/9ZJFmtJL8WrS9Ym9dhNTHKhttps://tube.foi.hr/lazy-static/thumbnails/c3476437-5986-4cc1-9be7-f8bc151ddaf0.jpg1-06 AI in Higher Ed: Co-PilotIntelligent Tutoring Systems (ITS) are AI tools that provide personalised, real-time feedback and adapt lessons to student needs. They correct errors immediately and offer scaffolding to build student confidence. ITS supports professors by handling routine practice, allowing educators to focus on discussion, critical thinking, and mentoring. https://tube.foi.hr/static/streaming-playlists/hls/48d8ce44-5fea-4560-bfca-f3b532432b51/7e740451-4d96-4db8-9089-45399b96d355-master.m3u8https://tube.foi.hr/videos/embed/9ZJFmtJL8WrS9Ym9dhNTHK375012025-09-15T20:46:31.515Zteachinglearningartificial intelligencehigher educationYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/xyLuSzifZrvzAv72AvticPhttps://tube.foi.hr/lazy-static/thumbnails/c539fc30-e3f7-4cdc-b124-90badfde3a19.jpg1-07 AI in the ClassroomAI automates routine grading and provides instant feedback for tasks like multiple-choice tests and essays. This saves time, improves consistency, and allows students to learn from mistakes quickly. However, human judgment is essential for fairness, creativity, and deeper evaluation, as AI systems have limits and potential biases. https://tube.foi.hr/static/streaming-playlists/hls/ff9e8597-37e6-461b-8f81-e15f9edc7099/c12dbeaf-b1bb-4163-9e2e-15a15d87d7be-master.m3u8https://tube.foi.hr/videos/embed/xyLuSzifZrvzAv72AvticP392012025-09-15T20:47:56.274Zteachinglearninghigher educationartificial intelligenceYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/7ax8oEfiddRx2Bncz7Tefehttps://tube.foi.hr/lazy-static/thumbnails/bca126d7-7033-44ab-8ff1-5231417a665e.jpg1-08 Higher EdAI-driven learning analytics turns educational data into insights, revealing patterns in student engagement and performance. Educational data mining uncovers hidden patterns, and predictive analytics identifies students at risk of falling behind. Data must be used responsibly, ensuring privacy, fairness, and transparency, and combined with human insight for proactive teaching. https://tube.foi.hr/static/streaming-playlists/hls/31ebb577-076d-4637-91a3-44e6e1939e45/48d568a1-49ca-477c-8f79-38de41045c3d-master.m3u8https://tube.foi.hr/videos/embed/7ax8oEfiddRx2Bncz7Tefe386032025-09-15T20:49:24.989Zteachinglearningartificial intelligencehigher educationYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/83fnWHxSboG1XZ2NgoeGy5https://tube.foi.hr/lazy-static/thumbnails/6016eb74-e5b8-40b8-be29-003735995b03.jpg1-09 AI: Co-Pilot or CompetitorAI aids collaborative learning by forming balanced teams and supporting inclusive interactions. It helps organise group projects by creating schedules and distributing responsibilities. AI also measures collaboration processes, though professors remain crucial as mentors, mediators, and guides. https://tube.foi.hr/static/streaming-playlists/hls/390051b2-0f68-4347-97c2-8018967045ac/da43e959-18d6-4e04-82ed-40114e35b040-master.m3u8https://tube.foi.hr/videos/embed/83fnWHxSboG1XZ2NgoeGy5415012025-09-15T20:50:53.009Zartificial intelligenceteachinglearninghigher educationYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/pqopNYVKjparT2VAzY3m7ihttps://tube.foi.hr/lazy-static/thumbnails/59a7e25a-b048-4c70-b191-e0208a0fce3b.jpg1-10 AI in the ClassroomAI in education presents challenges, including ethical concerns, algorithmic bias, and data privacy issues. Transparency, unequal access, and balancing human and AI roles are also key limitations. Furthermore, the environmental cost of AI requires responsible adoption. https://tube.foi.hr/static/streaming-playlists/hls/bda9d9c3-0489-4825-a34c-04c89eb26dad/adec8154-c834-41cd-b756-cffc9c168308-master.m3u8https://tube.foi.hr/videos/embed/pqopNYVKjparT2VAzY3m7i447002025-09-15T20:52:26.991Zteachinglearninghigher educationartificial intelligenceYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/sULyfjr3DPVpoxmEYdECg9https://tube.foi.hr/lazy-static/thumbnails/eed5b320-d405-473d-8120-b1908c571ad1.jpg2-01 Taming the AI JungleThis source categorises AI tools in higher education, covering assessment, collaboration, content creation, cybersecurity, and data management. Examples include Turnitin AI for academic integrity and Microsoft Copilot for productivity. Canva Magic Design and ChatPDF also show AI's role in creating engaging content and analysing documents. https://tube.foi.hr/static/streaming-playlists/hls/d9ebbd63-6a40-41ee-95e1-b69e60b1e4ae/2f6eedd0-256e-4fa9-95f7-aac2eb0d941a-master.m3u8https://tube.foi.hr/videos/embed/sULyfjr3DPVpoxmEYdECg9366032025-09-15T20:53:58.776Zlearningteachingartificial intelligencehigher educationYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/j3zbrNAJ8go5Yar511L5EVhttps://tube.foi.hr/lazy-static/thumbnails/0a0dad0f-a1a1-402d-bb63-4cabf8ec5920.jpg2-02 New Role of AI on CampusThis source presents further categories of AI tools, including environmental impact, generating interactive lessons, and inquiry facilitation. Language and natural language processing tools like ChatGPT are discussed, alongside personalised learning systems like Google Gemini. These tools support sustainability, engagement, and tailored learning experiences. https://tube.foi.hr/static/streaming-playlists/hls/92206e6e-7a49-4cdd-b90a-c10696cba4c1/c5fd5458-acb0-407a-b6bc-cd130e27ef2c-master.m3u8https://tube.foi.hr/videos/embed/j3zbrNAJ8go5Yar511L5EV324012025-09-15T20:55:19.107ZYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/pRMJpJego9rmzLzyTkSjmxhttps://tube.foi.hr/lazy-static/thumbnails/8e93e4af-5f6f-45bb-8f9e-2071c78e0e4d.jpg2-03 AI's New ToolkitThis final part categorises AI tools for student productivity, research, and self-paced skill acquisition. It also covers simulations for interactive learning and virtual teaching assistants. Examples include Merlin for workflow automation and IBM Watson Education Classroom for personalised support. https://tube.foi.hr/static/streaming-playlists/hls/c135d117-0aa7-4484-a01d-f33c1e4ab48f/6b1739f9-7993-4947-bf35-1abfe785a3cb-master.m3u8https://tube.foi.hr/videos/embed/pRMJpJego9rmzLzyTkSjmx418002025-09-15T20:56:38.734Zteachinglearningartificial intelligencehigher educationYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/jtwDVfQZuNyPYM6Zc3rVgihttps://tube.foi.hr/lazy-static/thumbnails/d960f4e1-5061-4cc5-a973-ceeafc237b17.jpg4-01 Ethics of AI in EdAI literacy demands responsible and ethical use of AI technologies in education. Uncontrolled AI use carries risks such as bias and disinformation, requiring clear guidelines. Higher education must teach students ethical thinking for real-world AI scenarios, covering principles like data privacy, transparency, and accountability. https://tube.foi.hr/static/streaming-playlists/hls/959c77fe-2967-40fe-b908-79d899c76393/ed738116-419a-4bc8-8971-7acc2e265bba-master.m3u8https://tube.foi.hr/videos/embed/jtwDVfQZuNyPYM6Zc3rVgi394042025-09-15T20:58:10.111Zteachinglearninghigher educationartificial intelligenceYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/ejFzxANoLwwsQb1y7NXZsahttps://tube.foi.hr/lazy-static/thumbnails/9c84d49c-0442-421c-9682-68a930f1ed53.jpg4-02 AI Ethics in the ClassroomKey ethical principles in AI education include addressing bias, ensuring data privacy and security, and promoting transparency. Data and algorithmic biases can lead to unfair results, stressing the need for diverse and inclusive data. Transparency requires clarity on data collection, use, storage, and how AI systems reach decisions. https://tube.foi.hr/static/streaming-playlists/hls/6be294db-3c76-4c96-bb26-5e42e9e03629/49946d97-4b71-492a-a711-188a2abccb0a-master.m3u8https://tube.foi.hr/videos/embed/ejFzxANoLwwsQb1y7NXZsa393022025-09-15T20:59:35.769Zteachinglearningartificial intelligencehigher educationYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/buhcSbQ3J25wbxWvPBZAo8https://tube.foi.hr/lazy-static/thumbnails/1783ae61-2a68-4784-b06a-2df315d8486e.jpg4-03 AI's Ethical CompassOther ethical aspects for AI include fairness, accountability, and non-maleficence. Fairness demands equal opportunities and equitable data practices, avoiding discrimination. Accountability requires clear responsibility for AI system actions, while non-maleficence prioritises preventing harm. Inclusivity, continuous evaluation, and addressing the digital divide also shape responsible AI use. https://tube.foi.hr/static/streaming-playlists/hls/54ee32d6-5c82-4acf-9f7d-5150578a2f83/66812b9a-5252-4f39-bdfa-6d7a30050d29-master.m3u8https://tube.foi.hr/videos/embed/buhcSbQ3J25wbxWvPBZAo8361042025-09-15T21:01:02.891Zteachinglearninghigher educationartificial intelligenceYESAI-HED: AI in Higher EducationNOhttps://tube.foi.hr/w/ubBAtxKtNAQP9jd7cSiig3https://tube.foi.hr/lazy-static/thumbnails/4ab81314-253b-4c53-b00c-ea5d06a294ae.jpg4-04 AI Ethics on CampusRecommendations for ethical AI in higher education focus on privacy, data ownership, and informed consent for data use. Transparency of AI decisions is crucial, requiring explainable outcomes and regular audits to prevent "black boxes". 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