Top 10 AI Prompts and Use Cases and in the Education Industry in Lebanon

AI can be a game-changer for Lebanon's schools and displaced youth - Jusoor lays out how targeted AI tools paired with device access, teacher training, curriculum integration and cultural sensitivity can expand reach and personalize learning for refugee and host-community students, while building

“future skills” like coding and AI literacy

(Jusoor analysis of AI in refugee education).

But practical benefits depend on fixing local barriers: unreliable infrastructure and a reliance on imported, reseller solutions that limit customization and R&D, as Mohamed Soufan warns about Lebanon's AI ecosystem (Mohamed Soufan analysis of Lebanon's AI industry).

For educators and administrators, the gap points to one clear next step: focused, job-ready training - for example Nucamp's Nucamp AI Essentials for Work syllabus (15-week bootcamp) - so tools really serve classrooms, not just dashboards.

Program	Length	Early bird Cost	Registration
AI Essentials for Work	15 Weeks	$3,582	Register for Nucamp AI Essentials for Work (15 Weeks)

This list was built by triangulating a focused scan of Lebanon's AI startup scene with on-the-ground academic debate and practical guidance for classrooms: Nanalyze's country tour and Crunchbase sweep - which catalogued local names like Eqlim, Rational Pixels, Neotic, Fig, Yakshof, Cloudfish and NAR and reported details such as NAR's claim of an 85% reduction in drone inspection reporting time - provided the market map (Nanalyze article on AI startups in Lebanon); reports of faculty-led workshops and PodChat sessions at the Lebanese American University supplied the pedagogical and ethical lens for selecting education-ready use cases (Lebanese American University seminar series on AI and education); and practical recommendations on AI literacy and assessment informed the evaluation criteria for tool suitability and risk (see Turnitin guidance on developing AI literacy for educators).

Criteria prioritized local language/dialect support, infrastructure fit, teacher oversight, and measurable classroom impact - for example, preferring solutions that enable transparent feedback or detect bias rather than opaque dashboards.

“Our aim with these sessions is to foster a culture of informed use and critical engagement when it comes to AI.”

Adaptive AI tutors - intelligent tutoring systems that map a learner model and deliver just-in-time mini-lessons - offer a realistic way to shrink gaps in Lebanon's classrooms by meeting each student where they are, pacing practice, and freeing teachers to lead projects and mentorship (see the Alpha School AI-powered personalized learning model (Hunt Institute): Alpha School AI-powered personalized learning (Hunt Institute)).

These tools are especially useful for students falling behind because they provide instant, judgment-free feedback and adaptive practice that builds confidence (AI tutors for students falling behind: benefits and examples), and real classroom examples - like a reading program that coaches a child to sound out “m‑a‑p” aloud - show why consistent use matters (Amira AI reading tutor improving student literacy (Louisiana example)).

For Lebanon, success hinges on teacher-in-the-loop models, localized Arabic dialect calibration, bias audits, and modest infrastructure investments so adaptive tutors supplement human instruction rather than replace it.

“AI bots will answer questions without ego and without judgment… it has an… inhuman level of patience.”

Cloudfish's Babel algorithm - marketed as

the world's most accurate Arabic sentiment analysis algorithm

and described as

a production‑ready tool

- offers a practical starting point for generating Arabic classroom materials that read local tone and student sentiment, a capability that can help Lebanese schools turn opaque student feedback into actionable lesson tweaks (Cloudfish Babel Arabic sentiment analysis).

In Lebanon's mixed-language classrooms, that means AI-assisted prompts and worksheets can be tuned to Arabic script and neutral emotional cues so teachers spot confusion or engagement trends earlier; imagine an essay‑grading pipeline that flags rising frustration across a cohort before a concept is reteached.

For school leaders weighing adoption, pairing such language-aware generators with cost-saving procurement strategies and clear assessment practices will be critical - see practical recommendations in the sector overview (Complete Guide to Using AI in Lebanon's Education Industry (2025)) - so content generation actually reduces teacher workload and improves learning, not just produces more worksheets.

Fig's multilingual classroom assistant - envisioned as a 24/7 chatbot that answers student queries in Arabic and English - maps directly onto robust findings about chatbots and language learning: a 2025 systematic review in Smart Learning Environments synthesizes learning outcomes for AI chatbots and shows how well‑designed conversational agents can support vocabulary, pronunciation practice, and scaffolded dialogue (2025 systematic review of AI chatbots for language learning (Smart Learning Environments)), while earlier field research examined the classroom impact of a virtual teaching assistant that automatically responds to students' questions and the practical challenges of integrating such systems (2022 study of a virtual teaching assistant in Ghana: classroom impact and integration challenges).

For Lebanon's mixed‑language classrooms, a Fig assistant could give students extra practice outside school hours, reduce repetitive query load on teachers, and let learners rehearse tricky grammar or short-answer problems at their own pace - imagine a student quietly rehearsing an English prompt late at night and getting calm, step‑by‑step feedback.

Success in Lebanon will depend on curriculum alignment, teacher oversight, and smart procurement so districts buy the right features at the right price (see practical recommendations in the national overview: Complete Guide to Using AI in Lebanon's Education Industry (2025) - national overview and practical recommendations).

Yakshof Sentiment & Media Monitoring translates noisy public conversations into signals school leaders can use to spot emerging concerns - think color‑coded alerts that highlight rising frustration in a neighborhood after a new exam rollout - so policymakers respond before disengagement becomes dropout.

That kind of community feedback pipeline mirrors the promise of learning dashboards to provide actionable insights for educators, as outlined in the learning analytics dashboard study (Learning analytics dashboard: a tool for providing actionable insights), while procurement and governance guidance from sector overviews shows how Lebanese institutions can buy and integrate these systems without wasting scarce funds (Procurement optimization with AI for Lebanese education institutions).

To turn sentiment into fair policy, teams skilled in assessment analytics are essential to validate signals and avoid false alarms - see why assessment analytics matters for Lebanon's education workforce (Assessment analytics and psychometrics in Lebanon).

Publication	Published	Journal	Accesses	Citations
Learning analytics dashboard: a tool for providing actionable insights to learners	14 February 2022	International Journal of Educational Technology in Higher Education	34k	122

Eqlim Risk Intelligence (Campus Safety & Operational Alerts) brings a practical, Lebanon‑ready angle to AI risk monitoring by packaging the same capabilities schools already rely on abroad - real‑time threat detection, automated campus‑wide alerts and lockdown triggers, geo‑fenced messaging, mobile panic reporting, and post‑incident analytics - into a solution that can speak to local procurement, language and infrastructure constraints.

These are the features described in modern platforms: Regroup's ability to “disseminate alerts… initiate lockdown procedures” and geo‑fenced messaging (Regroup mass notification for educational institutions), Everbridge's high‑velocity critical event management and one‑click responses (Everbridge critical event management for higher education), and Lightspeed's 24/7 AI scanning plus panic‑alert and human review model (Lightspeed Alert AI scanning and panic-alert system).

For Lebanese campuses the “so what” is immediate: imagine a dean receiving a geo‑fenced lockdown push while the same incident packet - camera snapshots, panic‑button location, and a prioritized contact list - is pushed to security and local responders, turning noisy data into a clear playbook for action and after‑action improvement.

“I can tell you beyond a shadow of a doubt that we have saved students. We have sent out law enforcement, based on calls from Lightspeed Safety Specialists, and they have placed students on 5150 holds - either because they were planning to take their lives or harm someone else. This has happened more times than I can count.” - Christi Frias, Student Services Director, San Marcos Unified School District

NAR Drone Inspections (Infrastructure Monitoring & Maintenance) offer a pragmatic, Lebanon-ready route to keep school roofs, water tanks, solar arrays and campus perimeters safe and serviceable without sending technicians up scaffolding: industry studies show drones can cut inspection time by roughly 75–85% and boost efficiency dramatically (see the Deloitte‑backed analysis in Zeitview), while sector ROI work highlights similar time‑and‑cost wins on long assets like pipelines (Deloitte-backed analysis of drone property inspection efficiency, drone pipeline inspection ROI and time‑savings study).

AI‑powered image analysis can flag corrosion, missing tiles, thermal leaks or vegetation encroachment with high detection accuracy, turning raw video into prioritized work orders so maintenance teams act before a leak becomes an emergency (AI drone asset inspection accuracy and workflow overview).

For Lebanese schools - even those with intermittent power or tight budgets - the “so what” is concrete: faster, safer inspections that free cash for repairs and keep students off ladders, with repeatable flight paths producing audit‑ready records for compliance and procurement.

Automated grading platforms - think EssayGrader or CoGrader - can be a practical win for Lebanon's classrooms by turning what one US study called up to 50 hours of teacher grading into minutes, freeing time for revision cycles and targeted small‑group work; tools advertise up to ~80% time savings, rubric customization, Google Classroom/Canvas sync, built‑in AI‑and‑plagiarism detection, and privacy controls that schools can contract for (EssayGrader AI rubric-based essay grading platform).

In Lebanon, that means routine writing practice becomes scalable even where teachers are stretched thin, but success depends on sensible guardrails: teacher‑in‑the‑loop review, local language support, procurement that demands transparency, and staff trained in assessment analytics and psychometrics to validate scores and spot bias (Assessment analytics guidance for Lebanon education).

Vendors promise consistency and dashboards, yet research cautions these systems are best used for low‑stakes feedback and formative cycles while educators retain final judgment - used well, automated grading can turn rapid, rubric‑aligned feedback into a revision loop that actually improves writing practice across mixed‑language cohorts (Hechinger Report research on AI essay grading effectiveness).

“ChatGPT was ‘roughly speaking, probably as good as an average busy teacher' and ‘certainly as good as an overburdened below‑average teacher.'”

Speed@BDD's role as a Lebanese-grown accelerator makes it a practical bridge between fast-moving edtech startups and the day‑to‑day needs of teachers: several classroom-ready companies that spun out of or were supported by Speed@BDD - Synkers, Augmental, Cherpa and Spica Tech Academy among them - offer everything from on‑demand tutoring marketplaces to adaptive lesson dashboards and gamified project templates that teachers can slot into weekly plans (see the Executive Magazine profile of Lebanese edtech startups for details Executive Magazine profile of Lebanese edtech startups).

preps & supports tech founders - Speed@BDD accelerator profile

As an accelerator, Speed@BDD helps surface tools that are sensible for local constraints; Nanalyze's country tour also shows the accelerator's hand in early funding for names like Rational Pixels and NAR that later build education‑adjacent capabilities (Nanalyze analysis of AI startups in Lebanon).

The practical payoff for schools: ready‑made lesson plans, teacher dashboards and short professional‑development modules that emphasize project‑based, low‑infrastructure implementations - picture a teacher dropping a vetted, gamified coding template into a tired week of classes and watching students immediately switch from passive note‑taking to collaborative problem‑solving, a small change that can multiply classroom impact without large procurement cycles.

A Neotic-style student-retention predictor can translate Lebanon's scattered classroom signals - LMS clicks, attendance, grades and simple admin records - into early-warning risk scores that guide low-cost, human-led interventions: think targeted text nudges, short phone outreach or tailored emails from student-support teams rather than opaque dashboards.

Evidence from a randomized trial at the Open University UK shows that predictive learning analytics paired with motivational interventions (texts, phone, email) improved course completion for at‑risk students, and scaled administrative support at modest cost (Herodotou et al. (2020) randomized trial on predictive learning analytics - Journal of Learning Analytics).

At the same time, systematic reviews caution that models must use richer student features and guard against bias and data-quality gaps, so Lebanon's deployments should prioritize privacy, transparent scoring and teacher‑in‑the‑loop workflows rather than fully automated decisions (IEEE 2022 review on educational data mining & predictive analytics).

Practical steps for schools: start with a simple pilot that links risk flags to human outreach (texts/calls) and local evaluation, monitor fairness and data health, and iterate - an approach echoed in industry guidance on using predictive analytics to focus resources where dropout risk is highest (XenonStack guide to predictive analytics for student retention).

Study	Sample	Key finding
Herodotou et al., Journal of Learning Analytics (2020)	N=630 (randomized trial)	Motivational interventions informed by PLA improved retention and scaled student support
Dawson et al., LAK (2017)	Combined enrolment ≈11,160 (pilot)	Predictive model flagged at‑risk students; impact mixed depending on analysis methods, showing need for richer individual data

An LAU AI elective that teaches computational thinking and AI literacy could give Lebanese students the practical tools to ask better questions of models, evaluate outputs critically, and translate classroom projects into real workflows - precisely the skills a new quantitative study links to stronger AI output quality, higher self‑efficacy and improved academic performance (Exploring students' AI literacy: Smart Learning Environments study (2025)); course modules should therefore combine technological understanding, hands‑on application and critical appraisal rather than only tool demos.

Pairing the elective with local implementation guidance - procurement and classroom integration tips from the national overview (Complete Guide to Using AI in Lebanon's Education Industry (2025)) - and targeted training in assessment analytics and psychometrics (Assessment analytics and psychometrics overview) will help LAU move students beyond checklist skills to the kind of judgment that prevents misapplied AI in exams or classroom feedback; imagine a class where learners not only build a prompt but write a one‑paragraph rubric explaining how to catch and fix a biased answer, a small exercise that sharpens both technical and ethical instincts.

Publication	Published	Journal	Accesses	Citations
Exploring students' AI literacy and its effects on their AI output quality, self-efficacy, and academic performance	27 April 2025	Smart Learning Environments	12k	3

Practical next steps for Lebanese schools start small, focus on people, and treat AI as an instructional partner rather than a plug‑and‑play cure: pilot a WhatsApp‑linked chatbot for off‑hours student and family support (a deployed model in Lebanon has already helped route hundreds of aid packages) while running parallel teacher training and governance pilots so privacy, fairness and trust issues are surfaced early (Lebanese WhatsApp chatbot aiding displaced families); test a syllabus‑aligned campus assistant for FAQ triage before scaling to curriculum help, and pair each pilot with clear metrics and human follow‑ups rather than automated sanctions, echoing stakeholder concerns from the Lebanese higher‑education study about security, (mis)trust and fairness (AI Chatbots for Sustainability in Education: the Lebanese case).

Invest in short, job‑focused upskilling so teachers convert tool access into classroom impact - start with a 15‑week practical course that teaches prompt writing, tool selection and classroom workflows (Nucamp AI Essentials for Work syllabus) - and require procurement checklists and assessment‑analytics expertise so schools buy transparent scoring, local‑language support and vendor accountability.

With modest pilots, transparent scoring, and teacher training, AI can improve access and efficiency in Lebanon without trading away equity or classroom judgment.

Program	Length	Early bird Cost	Registration
AI Essentials for Work	15 Weeks	$3,582	Nucamp AI Essentials for Work registration
Solo AI Tech Entrepreneur	30 Weeks	$4,776	Nucamp Solo AI Tech Entrepreneur registration