For generations, education operated around an information problem.<\/p>\n
Teachers knew things.<\/p>\n
Books contained things.<\/p>\n
Students needed to learn those things.<\/p>\n
Artificial intelligence has disrupted that arrangement.<\/p>\n
A student can now ask a machine to explain calculus.<\/p>\n
Translate a paragraph.<\/p>\n
Summarise a chapter.<\/p>\n
Generate practice questions.<\/p>\n
Analyse a document.<\/p>\n
Write code.<\/p>\n
Brainstorm an essay.<\/p>\n
Create an image.<\/p>\n
The question facing education is therefore becoming uncomfortable.<\/p>\n
If information is available instantly, what exactly should schools teach?<\/p>\n
That question will sit behind many of the products and conversations at GESS Dubai 2026, taking place from 10 to 12 November at Dubai World Trade Centre.<\/p>\n
The education exhibition brings together schools, suppliers, technology companies and education professionals at a moment when the classroom is changing unusually quickly.<\/p>\n
AI Has Removed the Easy Assignment<\/strong><\/p>\n Traditional homework often depended on the assumption that the student had to produce the answer personally.<\/p>\n Generative AI weakened that assumption.<\/p>\n An ordinary essay can be generated in seconds.<\/p>\n A coding exercise can be solved automatically.<\/p>\n A worksheet can be completed with assistance.<\/p>\n Teachers therefore face a new challenge.<\/p>\n How do you assess learning when producing the final answer is no longer evidence that the student understood the process?<\/p>\n This is not mainly a plagiarism problem.<\/p>\n It is an assessment-design problem.<\/p>\n Schools May Need to Assess Thinking Rather Than Output<\/strong><\/p>\n If AI can produce polished text, educators need better ways to observe reasoning.<\/p>\n Oral explanations.<\/p>\n Classroom discussion.<\/p>\n Draft development.<\/p>\n Applied projects.<\/p>\n Problem solving.<\/p>\n Live demonstrations.<\/p>\n Reflection.<\/p>\n Students may need to explain why they made choices rather than simply submit the final product.<\/p>\n This could actually improve education.<\/p>\n Many traditional assessments rewarded memory and formulaic writing.<\/p>\n AI exposes how easily those tasks can be automated.<\/p>\n The Teacher\u2019s Role Could Become More Important<\/strong><\/p>\n Technology repeatedly creates predictions that teachers will disappear.<\/p>\n Calculators did not eliminate mathematics teachers.<\/p>\n Wikipedia did not eliminate schools.<\/p>\n Search engines did not eliminate universities.<\/p>\n AI is unlikely to eliminate good teaching.<\/p>\n It may reduce the value of certain teacher tasks.<\/p>\n Generating worksheets.<\/p>\n Producing basic examples.<\/p>\n Writing repetitive administrative text.<\/p>\n Creating first drafts of lesson materials.<\/p>\n If technology handles some of that work, teachers can spend more time on feedback, mentoring and understanding individual students.<\/p>\n That would be a meaningful improvement.<\/p>\n Personalised Learning Is the Big Promise<\/strong><\/p>\n Classrooms contain students learning at different speeds.<\/p>\n One student needs another explanation.<\/p>\n Another is already bored.<\/p>\n A third has missed a foundational concept.<\/p>\n One teacher cannot always provide completely individualised support to thirty students simultaneously.<\/p>\n AI-based educational tools may help.<\/p>\n A tutoring system can adjust difficulty.<\/p>\n Provide extra examples.<\/p>\n Repeat explanations differently.<\/p>\n Allow students to practise without embarrassment.<\/p>\n The potential is enormous.<\/p>\n The quality depends on whether those systems actually understand pedagogy rather than simply generate fluent answers.<\/p>\n Fluent Does Not Mean Correct<\/strong><\/p>\n This remains one of AI’s biggest educational risks.<\/p>\n Modern systems can sound extremely confident.<\/p>\n They can still be wrong.<\/p>\n Students without strong background knowledge may struggle to recognise errors.<\/p>\n This creates a paradox.<\/p>\n The people who most need help may also be the least able to evaluate whether the help is reliable.<\/p>\n Schools therefore need to teach AI literacy alongside using AI.<\/p>\n Ask for evidence.<\/p>\n Check sources.<\/p>\n Compare explanations.<\/p>\n Question confident answers.<\/p>\n Understand uncertainty.<\/p>\n These become academic skills.<\/p>\n Critical Thinking Becomes More Valuable<\/strong><\/p>\n When producing information becomes cheap, evaluating information becomes more important.<\/p>\n Is this claim credible?<\/p>\n What evidence supports it?<\/p>\n What assumptions were made?<\/p>\n Is the source independent?<\/p>\n Could there be bias?<\/p>\n What has been omitted?<\/p>\n AI makes these questions urgent because it can generate persuasive language at extraordinary speed.<\/p>\n Students need to learn that well-written text is not automatically true.<\/p>\n That lesson extends far beyond education.<\/p>\n EdTech Has to Solve Real Problems<\/strong><\/p>\n Education technology has a long history of impressive demonstrations followed by disappointing classroom results.<\/p>\n Interactive screens.<\/p>\n Apps.<\/p>\n Tablets.<\/p>\n Learning platforms.<\/p>\n Gamification.<\/p>\n Some tools create genuine value.<\/p>\n Others add complexity.<\/p>\n Schools should therefore begin with the educational problem.<\/p>\n What are teachers struggling to do?<\/p>\n Where are students falling behind?<\/p>\n Which administrative process wastes time?<\/p>\n What evidence shows the technology helps?<\/p>\n Buying technology because it looks innovative is rarely enough.<\/p>\n Data Can Help Schools Understand Students Earlier<\/strong><\/p>\n Digital learning platforms generate information.<\/p>\n Attendance.<\/p>\n Assessment performance.<\/p>\n Assignment completion.<\/p>\n Patterns of mistakes.<\/p>\n Engagement.<\/p>\n Used carefully, this data can help identify students who need support.<\/p>\n A learner struggling gradually may be easier to help than one discovered only after a final examination.<\/p>\n But educational data is sensitive.<\/p>\n Children deserve particularly strong privacy protections.<\/p>\n Schools need to ask not only what data can be collected, but what should be collected.<\/p>\n Cybersecurity Has Become a School Issue<\/strong><\/p>\n Schools increasingly operate like technology organisations.<\/p>\n Student databases.<\/p>\n Payment systems.<\/p>\n Parent portals.<\/p>\n Learning platforms.<\/p>\n Email accounts.<\/p>\n Cloud services.<\/p>\n Connected devices.<\/p>\n All create attack surfaces.<\/p>\n Educational institutions can hold personal information about children and families.<\/p>\n Ransomware can disrupt teaching.<\/p>\n Credential theft can expose accounts.<\/p>\n Cybersecurity therefore belongs in the education-technology conversation.<\/p>\n A smart classroom that cannot protect its users is not actually smart.<\/p>\n Students Need to Understand AI, Not Merely Use It<\/strong><\/p>\n There is a difference between being able to type a prompt and understanding artificial intelligence.<\/p>\n Students should know that models learn patterns from data.<\/p>\n That outputs may contain bias.<\/p>\n That hallucinations can occur.<\/p>\n That privacy matters.<\/p>\n That generated media can be manipulated.<\/p>\n That AI does not possess perfect knowledge.<\/p>\n This understanding will become part of digital literacy.<\/p>\n The goal should be neither banning AI nor trusting it completely.<\/p>\n Students need informed use.<\/p>\n Handwriting and Mental Arithmetic May Still Matter<\/strong><\/p>\n When technology performs a task easily, people sometimes assume humans no longer need the underlying skill.<\/p>\n That conclusion can be dangerous.<\/p>\n Calculators are useful.<\/p>\n Basic number sense still matters.<\/p>\n AI can write.<\/p>\n Humans still need language.<\/p>\n Navigation apps provide directions.<\/p>\n Spatial awareness remains useful.<\/p>\n Foundational skills give people the ability to judge technology’s output.<\/p>\n Education should therefore distinguish between tools that extend capability and tools that create dependency.<\/p>\n Creativity Changes When Generation Becomes Easy<\/strong><\/p>\n AI can create dozens of ideas instantly.<\/p>\n That changes the bottleneck.<\/p>\n Generating something is becoming less difficult.<\/p>\n Choosing what deserves to exist becomes more important.<\/p>\n Taste.<\/p>\n Judgement.<\/p>\n Originality.<\/p>\n Context.<\/p>\n Editing.<\/p>\n Creative direction.<\/p>\n Students may need to learn how to transform machine-generated possibilities into intentional human work.<\/p>\n That is a different skill from simply producing a first draft.<\/p>\n Vocational Education Will Change Quickly<\/strong><\/p>\n AI is not the only technology affecting education.<\/p>\n Automation.<\/p>\n Robotics.<\/p>\n Electric vehicles.<\/p>\n Renewable energy.<\/p>\n Cybersecurity.<\/p>\n Advanced manufacturing.<\/p>\n Data analysis.<\/p>\n Lab technology.<\/p>\n These fields create demand for new technical skills.<\/p>\n Education systems need to respond faster than traditional curriculum cycles often allow.<\/p>\n A programme designed today may prepare students for jobs that evolve significantly before graduation.<\/p>\n Adaptability therefore becomes a learning outcome itself.<\/p>\n The Classroom Still Has a Social Function<\/strong><\/p>\n Education is not merely information transfer.<\/p>\n Students learn to cooperate.<\/p>\n Disagree.<\/p>\n Speak publicly.<\/p>\n Manage frustration.<\/p>\n Work in teams.<\/p>\n Build friendships.<\/p>\n Understand social boundaries.<\/p>\n These experiences cannot be reduced to personalised screens.<\/p>\n The more powerful digital learning becomes, the more important it may be to protect the social functions of physical schools.<\/p>\n A perfectly efficient individual learning system could still produce a poor educational environment if students rarely learn how to interact with other people.<\/p>\n Teachers Need Training, Not Just Software Licences<\/strong><\/p>\n Introducing AI into schools without supporting teachers is likely to fail.<\/p>\n Educators need time to experiment.<\/p>\n Understand limitations.<\/p>\n Develop policies.<\/p>\n Redesign assessments.<\/p>\n Learn which tools are appropriate for different ages.<\/p>\n Schools cannot simply purchase a platform and call themselves AI-ready.<\/p>\n Technology adoption is partly a human-development project.<\/p>\n Dubai Is a Natural Market for Education Technology<\/strong><\/p>\n Dubai has a large international-school sector serving families from many countries and curricula.<\/p>\n British.<\/p>\n American.<\/p>\n IB.<\/p>\n Indian.<\/p>\n Other systems.<\/p>\n This diversity creates demand for educational tools capable of working across languages and teaching models.<\/p>\n It also makes the city an attractive marketplace for global education suppliers.<\/p>\n GESS Dubai benefits from that environment.<\/p>\n Business Visitors Become Part of Dubai\u2019s Exhibition Economy<\/strong><\/p>\n Educators, school leaders and technology suppliers travelling to GESS also participate in the wider visitor economy.<\/p>\n Hotels.<\/p>\n Restaurants.<\/p>\n Transport.<\/p>\n Business meetings.<\/p>\n