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mohdanasMost Helpful
Asked: 09/12/2025In: Education

“Is AI a boon or a bane for education?”

a boon or a bane for education

ai in educationbenefits and risksedtechethics in aiteaching and learningtechnology impact
  1. mohdanas
    mohdanas Most Helpful
    Added an answer on 09/12/2025 at 4:03 pm

    1. Why Many See AI as a Powerful Boon for Education 1. Personalized Learning on a Scale Never Before Possible Education has followed a mass-production model for centuries: one teacher, one curriculum, one pace for dozens of students, regardless of individual differences. AI changes this fundamentallRead more

    1. Why Many See AI as a Powerful Boon for Education

    1. Personalized Learning on a Scale Never Before Possible

    Education has followed a mass-production model for centuries: one teacher, one curriculum, one pace for dozens of students, regardless of individual differences. AI changes this fundamentally.

    With AI,

    • A struggling student can receive slower, adaptive explanations.
    • A high-performing student can go faster without being held back.
    • The visual learners, auditory learners, and hands-on learners can be supported differently.

    This is revolutionary in the sense that it turns education from being a rigid system to a responsive one. Students will no longer be forced to conform to a single learning speed or style.

    2. Instant Feedback Accelerates Growth

    In traditional settings, students can wait days or even weeks for feedback on assignments. AI offers:

    • Real-time corrections
    • Tracking progress continuously
    • Immediate explanation of errors

    And when feedback is instantaneous, learning improves dramatically. Mistakes become learning moments, not ongoing confusion. This alone makes AI a major educational upgrade.

    3. Access for the Previously Excluded

    AI is opening doors for learners who were previously disadvantaged:

    • Students from rural or remote areas
    • Working professionals who cannot attend full-time classes.
    • Students with disabilities requiring assistive technologies
    • Learners across linguistic boundaries through real-time translation.

    With AI, millions around the world are experiencing quality education for the very first time. In this regard, AI is less an indulgence and more of an equalizing force.

    4. Teachers Become Mentors, Not Just Graders

    • AI can automate
    • Grading
    • Attendance
    • Test creation
    • Repetitive explanations

    This frees up the teachers to:

    • Critical discussion
    • Emotional support
    • Deep conceptual teaching
    • Creativity and mentorship

    Well used, AI does not replace teachers; it restores the most human part of teaching.

    2. Why Others Fear AI as a Serious Bane

    Now, the shadow side because the danger is real.

    1. The Erosion of Deep Thinking

    Not all learning is meant to be easy. Struggle is an element of growth-it is how the brain grows. When students constantly employ AI for

    • Writing essays
    • Problem solving
    • Generating ideas instantly

    They risk skipping the very mental effort that builds:

    • Critical thinking
    • Logical reasoning
    • Intellectual endurance

    Over time, this can produce students who know how to get answers but not how to think.

    2. Creativity at the Risk of Becoming Artificial

    Creativity grows from:

    • Imagination
    • Curiosity
    • Boredom
    • Experimentation
    • Failure

    If AI constantly supplies:

    • Stories
    • Art
    • Designs
    • Research ideas

    The students risk becoming editors of machine output rather than true creators. The danger is subtle: human originality gives way, bit by bit, to algorithmic convenience.

    3. Academic Integrity in Crisis

    This is one of the most immediate and visible threats:

    • AI-written essays
    • Auto-generated code assignments
    • Machine-produced research summaries

    It has become increasingly challenging to differentiate between:

    • Student Effort
    • Machine output
    • This creates:
    • Unfair advantages
    • Credential dilution

    Loss of trust between the students and institutions.

    With the collapse of trust, the whole assessment system turns fragile.

    4. Widening the Digital Divide

    AI can democratize learning-but only for the people who can access it.

    • Without
    • Reliable Internet
    • Devices
    • Digital Literacy

    AI becomes another force that amplifies inequality instead of reducing it. Most of the benefits would devolve onto those students who are already at an advantage, while others fall behind.

    3. The Core Truth: AI Is a Tool, Not a Teacher

    AI does not have:

    • Wisdom
    • Values
    • Ethics
    • Purpose
    • Responsibility

    It only reflects:

    • The data it was trained on
    • The goals the humans give it
    • The way institutions deploy it

    Used as:

    • A shortcut → it weakens learning
    • A thinking partner → strengthens learning.
    • A substitute for effort → it hollows education
    • A scaffold for growth → it amplifies intelligence

    AI is a cognitive amplifier; it amplifies what already exists in a learner and in a system.

    4. When AI Truly Becomes a Boon

    AI enhances education when:

    • Students must attempt problems before viewing AI solutions
    • Teachers assign students to critiquing AI-generated answers.
    • Projects require creative input – not just output.
    • Assessment values reasoning not memorization
    • Ethics and digital responsibility are formally taught.

    In such environments:

    • Students think first,
    • AI helps second
    • Learning is deeply human.

    5. When AI Becomes a Bane

    AI becomes harmful when:

    • It replaces effort instead of supporting it.
    • It is used secretly, not transparently.
    • Exams test outdated memorization skills.
    • Teachers are not trained to integrate it meaningfully.
    • Institutions chase efficiency at the cost of depth.

    In these cases:

    • Discipline is replaced by dependency.
    • Convenience replaces curiosity.
    • Output replaces understanding.

    6. The Question Is Not “Boon or Bane”It Is “What Kind of Education Do We Want?”

    AI is making education systems confront a deeper issue they have long postponed:

    • Do we want our students to recall information?
    • Or students who analyze, create, and judge wisely?

    Memorization-based education is going obsolete-not because AI is evil, but because the world no longer pays for recall alone. A future belongs to:

    • Critical thinkers
    • Ethical Users of Technology
    • Creative problem solvers
    • lifelong learners

    If education evolves in this direction, AI turns into a historic boon.

    If it does not, then AI becomes a silent destroyer of depth.

    7. Final Balanced Conclusion

    So, is AI a boon or a bane for education?

    It is a boon for:

    • Personalization
    • Access
    • Speed of learning
    • Teacher Empowerment
    • Global knowledge sharing

    It becomes a bane for:

    • Deep thinking
    • Authentic creativity
    • Assessment integrity
    • Human intellectual ownership
    • Equity when access is uneven

    The Real Answer

    AI is neither a savior nor a villain.

    It is a mirror reflecting the priorities, values, and wisdom of the education systems using it.

    If we center education on:

    • Thought, not shortcuts
    • Understanding, not output
    • Growth not grades

    Then AI becomes one of the greatest educational tools humanity has ever created.

    Designing education around the following: Speed over depth Convenience over character Results over reasoning Then AI will weaken the very foundation of learning.

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daniyasiddiquiEditor’s Choice
Asked: 09/08/2025In: Communication, Technology

How are multimodal AI models integrating vision, speech, and text for real-time decision-making?

ai
  1. Anonymous
    Anonymous
    Added an answer on 09/08/2025 at 3:21 pm

    Seeing, Hearing, and Comprehending — Simultaneously Multimodal AI models are akin to human beings who can see, hear, and read simultaneously — but with the speed of a supercomputer. Rather than processing single inputs (such as text), these models blend vision, speech, and text to make more intelligRead more

    Seeing, Hearing, and Comprehending — Simultaneously
    Multimodal AI models are akin to human beings who can see, hear, and read simultaneously — but with the speed of a supercomputer. Rather than processing single inputs (such as text), these models blend vision, speech, and text to make more intelligent, faster decisions in real-time.

    How They Do It

    • Vision

    The AI can “see” through videos, images, or live camera streams — identifying objects, recognizing text in images, or examining environments.

    • Speech

    It can “hear” and interpret spoken words, tone, or background sounds.

    • Text

    It can analyze written commands, documents, or live chat input in real time.

    By merging these streams, the AI constructs a comprehensive image of what’s happening before deciding on the next course of action.

    Real-World Examples

    • Healthcare

    A hospital AI might monitor a patient’s vital signs on a screen (vision), hear their breathing (speech), and read the doctor’s notes (text) — and alert physicians in real-time if anything’s amiss.

    • Autonomous Vehicles

    Check, safe driving decisions. A driverless vehicle can see people walking, hear sirens, and read signs at the same time to make qui

    • Customer Support

    A service bot can observe a customer’s video stream, hear their tone of voice, and see the chat text to deliver the most empathetic reply.

    Why It Matters

    This combination makes AI more context-aware, decreasing misunderstandings and enhancing safety in high-stakes environments. It’s not being clever — it’s being situationally clever, such as a human being able to read the room.

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Answer
daniyasiddiquiEditor’s Choice
Asked: 19/11/2025In: News

“Did Southern Lebanon experience multiple attacks by Israel that resulted in the deaths of at least 14 people?”

the deaths of at least 14 people

attackscasualtiesisraelmiddle east conflictregional tensionssouthern lebanon
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 19/11/2025 at 11:57 am

     What the facts show According to multiple news sources, the area of Southern Lebanon was hit by more than one strike by the State of Israel. For example, one major air-strike on the Ein el‑Hilweh refugee camp near Sidon killed at least 13 people, per the Lebanese Health Ministry.  In addition, anotRead more

     What the facts show

    • According to multiple news sources, the area of Southern Lebanon was hit by more than one strike by the State of Israel. For example, one major air-strike on the Ein el‑Hilweh refugee camp near Sidon killed at least 13 people, per the Lebanese Health Ministry. 

    • In addition, another strike in the southern town of Al‑Tayri killed at least one civilian and wounded others, adding to the death toll. 

    • Taken together, reports say “at least 14 people” were killed in the recent series of strikes. 

    So yes by the available information, Southern Lebanon did experience multiple attacks by Israel that resulted in at least 14 deaths.

     Context & background

    Cease-fire status

    • A cease-fire between Israel and Hezbollah was brokered in late 2024 (around November 27). 

    • Despite the cease-fire, Israeli strikes have continued and Lebanon reports that several dozen people have been killed in Lebanon since the truce.

    Targets and claims

    • Israel’s military claims the strikes targeted militant groups for example, in the refugee camp, Israel said it hit a “Hamas training compound.” 

    • Palestinian factions (such as Hamas) deny that such compounds exist in the camps. 

    Humanitarian & civilian implications

    • The refugee camp hit (Ein el-Hilweh) is densely populated and considered Lebanon’s largest Palestinian refugee camp. 

    • The presence of civilians, including possibly non-combatants, raises concerns about civilian casualties and international humanitarian law.

    • The strike on a vehicle in Al-Tayri reportedly wounded several students, indicating that non-combatants are among the casualties. 

    Why this matters

    • Regional stability: Southern Lebanon is a sensitive border area between Israel and Lebanon/Hezbollah. Continued strikes risk reopening larger escalation.

    • Cease-fire fragility: Even after a formal truce, lethal attacks show how unstable the situation remains, and how quickly the violence can reignite.

    • International law & civilian safety: When air strikes hit refugee camps or residential zones, questions arise about proportionality, distinction, and civilian protection in armed conflict.

    • Human cost: Beyond the numbers, families, communities, and civilian life in the region are deeply affected loss, trauma, displacement.

    My summary

    Yes based on credible reporting Southern Lebanon did suffer multiple Israeli attacks in which at least 14 people were killed. The best documented is the air-strike on the Ein el-Hilweh refugee camp (13 killed), plus another strike in Al-Tayri (at least 1 killed).

    That said, while the basic fact is clear, some details remain less so: the exact motives claimed, the status of all victims (civilian vs combatant), and the full number of casualties may evolve as further investigations come in.

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daniyasiddiquiEditor’s Choice
Asked: 27/12/2025In: Digital health, Health

Who is liable if an AI tool causes a clinical error?

AI tool causes a clinical error

artificial intelligence regulationclinical decision support systemshealthcare law and ethicsmedical accountabilitymedical negligencepatient safety
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 27/12/2025 at 2:14 pm

    AI in Healthcare: What Healthcare Providers Should Know Clinical AI systems are not autonomous. They are designed, developed, validated, deployed, and used by human stakeholders. A clinical diagnosis or triage suggestion made by an AI model has several layers before being acted upon. There is, thereRead more

    AI in Healthcare: What Healthcare Providers Should Know

    Clinical AI systems are not autonomous. They are designed, developed, validated, deployed, and used by human stakeholders. A clinical diagnosis or triage suggestion made by an AI model has several layers before being acted upon.

    There is, therefore, an underlying question:

    Was the damage caused by the technology itself, by the way it was implemented, or by the way it was used?

    The answer determines liability.

    1. The Clinician: Primary Duty of Care

    In today’s health care setup, health care providers’ decisions, even in those supported by AI, do not exempt them from legal liability.

    If a recommendation is offered by an AI and the following conditions are met by the clinician, then:

    • Accepts it without appropriate clinical judgment, or
    • Neglects obvious signs that go against the result produced by AI,

    So, in many instances, the liability may rest with the clinician. AI systems are not considered autonomous decision-makers but rather decision-support systems by courts.

    Legally speaking, the doctor’s duty of care for the patient is not relinquished merely because software was used. This is supported by regulatory bodies, including the FDA in the United States, which considers a majority of the clinical use of AI to be assistive, not autonomous.

    2. The Hospital or Healthcare Organization

    Healthcare providers can be held responsible for damage caused by system-level issues, for instance:

    • Lack of adequate training among staff
    • Poor incorporation of AI in clinical practices
    • Ignoring known limitations of the system or warnings about safety

    For instance, if an AI decision-support system is required by a hospital in terms of triage decisions but an accompanying guideline is lacking regarding under what circumstances an override decision by clinicians is warranted, then the hospital could be held jointly liable for any errors that occur.

    With the aspect of vicarious liability in place, the hospital can be potentially responsible for negligence committed through its in-house professionals utilizing hospital facilities.

    3. AI Vendor or Developer

    Under product liability or negligence, AI developers can be made responsible, especially if negligence occurs in relation to:

    • Inherently Flawed Algorithm/Design Issues in Models
    • Biased or poor quality training data
    • Lack of Pre-Deployment Testing
    • Lack of disclosure of known limitations or risks

    If an AI system is malfunctioning in a manner inconsistent with its approved use, market claims, legal liability could shift toward the vendor. This leaves developers open to legal liability in case their tools end up malfunctioning in a manner inconsistent with their approved use

    But vendors tend to mitigate any responsibility for liability by stating that the use of the AI system should be under clinical supervision, since it is advisory only. Whether this will be valid under any legal system is yet to be tested.

    4. Regulators & Approval Bodies (Indirect Role)

    The regulatory bodies are not responsible for liability pertaining to clinical mistakes, but regulatory standards govern liability.

    The World Health Organization, together with various regulatory bodies, is placing a mounting importance on the following:

    • Transparency and explainability
    • Human-in-loop decision making
    • Continuous monitoring of AI performance

    Non-compliance with legal standards may enhance the validity of legal action against hospitals or suppliers in the event of injuries.

    5. What If the AI Is “Autonomous”?

    This is where the law gets murky.

    This becomes an issue if an AI system behaves independently without much human interference, such as in cases of fully automated triage decisions or treatment choices. The existing liability mechanism becomes strained in this scenario because the current laws were never meant for software that can independently impact medical choices.

    Some jurists have argued for:

    • Contingent liability schemes
    • Mandatory Insurance for AI MitsuruClause Insurance for AI
    • New legal categorizations for autonomous medical technologies

    At least, in today’s world, most medical organizations do not put themselves at risk in this manner, as they do, in fact, mandate supervision by medical staff.

    6. Factors Judged by the Court for Errors Associated with AI

    In applying justice concerning harm caused by artificial intelligence, the courts usually consider:

    • Was the AI used for the intended purpose?
    • Was the practitioner prudent in medical judgment?
    • Was the AI system sufficiently tested and validated?
    • Were limitations well defined?
    • Was there proper training and governance in the organization?

    The absence or presence of AI may not be as crucial to liability but rather its responsible use.

    The Emerging Consensus

    The general world view is that AI does not replace responsibility. Rather, the responsibility is shared in the AI environment in the following ways:

    • Healthcare Organizations: Responsible for the governance & implementation
    • Suppliers of AI systems: liable for secure design and honest representation

    This shared responsibility model acknowledges that AI is not a value-neutral tool or an autonomous system it is a socio-technical system that is situated within healthcare practice.

    Conclusion

    Consequently, it is not only technology errors but also system errors. The issue of blame in assigning liability focuses not on pinning down whose mistake occurred but on making all those in the chain, from the technology developer to the medical practitioner, do their share.

    Until such time as laws catch up to define the specific role of autonomous biomedical AI, being responsible is a decidedly human task. There is no question about the best course in either safety or legal terms. Being human is the key. Keep the responsibility visible, traceable, and human.

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daniyasiddiquiEditor’s Choice
Asked: 11/10/2025In: News

Can a country improve its terms of trade by imposing a tariff?

a country improve its terms of trade

international tradelarge country assumptiontariffsterms of tradetrade policywelfare economics
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 11/10/2025 at 4:08 pm

     What "Terms of Trade" Actually Is Terms of trade (ToT) quantify the value of a nation's exports in relation to its imports. Simply put, it is the rate at which you exchange what you sell to the world for what you purchase from it. Terms of Trade  Export Prices Import Prices Terms of Trade Import PrRead more

     What “Terms of Trade” Actually Is

    Terms of trade (ToT) quantify the value of a nation’s exports in relation to its imports. Simply put, it is the rate at which you exchange what you sell to the world for what you purchase from it.
    Terms of Trade 
    1. Export Prices
    2. Import Prices
    3. Terms of Trade
    4. Import Prices
    5. Export Prices
    If your prices for exporting are higher or your prices for importing are lower, your terms of trade are better — i.e., you can purchase more imports with the same number of exports.
    Increasing your terms of trade is essentially negotiating a better bargain in international trade — you pay less and receive more. All countries would be happy about that.

     The Theory: The “Optimal Tariff” Argument

    That’s where economics comes in with the concept of the optimal tariff — an idea that goes back to the early 20th century, with economists such as Bickerdike and Johnson.
    The thinking is this:
    • Assume your nation is big enough in global trade to make a difference in world prices (such as the U.S., EU, or China).
    • You put a tariff on imports — 10%, for example.
    • Foreign exporters have increased obstacles to selling into your market.
    • To maintain their commodities competitive, they may reduce their export prices.
    If that is the case, your nation pays less for imports, but your exports remain at about the same price.

    Your terms of trade are better.

    In this case, some of the burden of the tariff is placed on foreign producers instead of your domestic consumers. You receive better prices from overseas, and the revenue from the tariff contributes to your national income.
    In the theoretical economic world alone, that’s a win-win — at least for your nation.

    Why It Only Works for “Large” Economies

    The important assumption here is that the nation has market power — the capacity to influence world prices.
    • A small economy (such as Nepal or Costa Rica) can’t; world prices are determined by much bigger markets. Any tariff it levies simply increases local prices and penalizes its own citizens.
    • A big economy (such as the U.S., China, or the EU) can shape world demand sufficiently that foreign producers may pass on some of the tariff by reducing prices.

    That’s why this concept is referred to as the “optimal tariff” — it’s the tariff that optimizes the welfare of a country by enhancing its terms of trade just sufficient to cover the loss of efficiency from restricting trade.

    But There’s a Catch: Retaliation

    In real life, the world economy is not a game with one player. When one large nation applies tariffs, others retaliate.
    • This reprisal negates any initial gain due to improved terms of trade and usually leads to a trade war, lowering world welfare for all.
    • Throughout the U.S.–China trade war (2018–2020), both countries applied tariffs to shield their own industries and enhance bargaining leverage.
    • Rather than enhancing terms of trade, both countries incurred greater import prices, dislocated supply chains, and reduced growth.
    • Economists subsequently calculated the alleged “gains” from better trade terms as entirely offset by losses to consumers and exporters.
    So, theory may tell us that an optimal tariff makes things better, but the reality is that retaliation murders the gain.

    Contemporary Complexity: Global Value Chains

    One other reason the theory falls apart today is the nature of contemporary trade.
    • Years ago, nations primarily exchanged finished goods: one country sold cars, another textiles. Nowadays, production is splintered across borders — a product can travel 5–6 countries before it is delivered to consumers.
    • Placing a tariff on “imports” usually means levying taxes on components and materials your industries require. That increases costs for manufacturers at home, undermines exports, and can deteriorate your terms of trade instead of enhancing them.
    So, something that could have succeeded in the 1950s no longer works for the highly interdependent 2025 world economy.

     The Human Angle: Winners and Losers

    Even in theory, when a nation improves its national terms of trade by raising a tariff, not all are winners.
    • Consumers pay more — they lose purchasing power.
    • Protected industries win in the short term, with less foreign competition.
    • Exporters usually lose when trading nations retaliate.
    Poor families will hurt the most, as tariffs usually target first imported necessities (fuel, food, or technology).
    So, although the country’s overall well-being may appear healthier on paper, the effects on distribution can prove to be politically charged.

    Historical Examples

    The American Smoot-Hawley Tariff Act (1930): Meant to defend American farmers and enhance terms of trade, it actually unleashed a worldwide retaliation that further exacerbated the Great Depression.
    The U.S.–China Tariffs (2018–2020): Designed to better America’s trade position, they increased consumer prices and damaged manufacturing exports. Analysis concluded that there was nearly no net gain in U.S. terms of trade after allowing for retaliation.
    India’s selective import tariffs in recent years demonstrate that low, sector-specific duties can short-term spur domestic production, but the overall benefits are frequently balanced by more expensive imports and reduced export growth.

    In Summary

    So, can a nation enhance its terms of trade by raising a tariff?
    In theory, yes — if it’s a large economy, if the tariff is small, and if other countries don’t retaliate.
     In practice, nearly never — because international interdependence and political reaction undo those gains.
    The reality is:
    Tariffs are like painkillers — they may provide temporary relief, but excessive use creates greater long-term harm.
    Whereas a wisely calibrated tariff could temporarily adjust trade terms to benefit a dominant country, consumer welfare, global trust, and economic efficiency costs are typically far greater than the gains. Cooperation and open trade continue to be the longer-run run more sustainable way to raise welfare and prosperity in today’s global economy.
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daniyasiddiquiEditor’s Choice
Asked: 24/12/2025In: Health

How to control high blood pressure?

high blood pressure

bloodpressurecontrolhealthtipshealthylifestylehearthealthhighbloodpressurehypertension
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 24/12/2025 at 12:05 pm

    1. Know Your Blood Pressure and Monitor It Awareness is the first thing that needs to be addressed when it comes to the regulation of high blood pressure. Many individuals have been aware of their condition only after visiting a designated health facility during the time of a routine health check-upRead more

    1. Know Your Blood Pressure and Monitor It

    Awareness is the first thing that needs to be addressed when it comes to the regulation of high blood pressure. Many individuals have been aware of their condition only after visiting a designated health facility during the time of a routine health check-up. Recording the blood pressure reading, either conducted within the health facility or by the use of a digital blood pressure meter, enables you to become aware of the trigger causing the high blood pressure.

    2. Rework Your Diet, but in Moderation

    Diet is an important factor in managing blood pressure. Cutting down on salt is the most important aspect because excess salt in the body causes it to retain water, thereby pressing the blood vessels hard. However, this doesn’t mean that the food has to be unappetizing. Herbs, spices, lemons, and garlic can be used to add flavor to the food without using salt.

    Emphasize an intake of fruits, vegetables, whole grains, legumes, nuts, and low-fat dairy foods. These foods contain plenty of potassium, magnesium, and fiber that help to maintain blood pressure levels. Avoiding foods like fried foods, processed meats, and sweet beverages can also work like wonders in lowering blood pressure.

    3. Engagement in Physical Activity in Simple Ways.

    Regular exercise makes your heart strong and better at pumping blood. It reduces blood pressure in your arteries.

    You don’t have to exercise that much. You can begin activities like brisk walking, cycling, yoga, swimming, or simply household chores. All you need to do is perform them on a regular basis.

    The aim is to do at least 30 minutes a day at a moderate level. If you have been living a sedentary lifestyle, it is always best to start off slow, 10 minutes at a time.

    4. Managing Stress and Mental Wellness

    Prolonged stress is a possible cause of high blood pressure. This could be due to work pressure, money worries, responsibilities in the family, or a lack of sleep. Stress cannot be avoided but controlled.

    Activities such as deep breathing, meditation, praying, mindfulness, and spending time on hobbies are effective in lowering the nervous system. Small practices such as taking short breaks, reducing constant usage of mobile phones, and having quality sleep can prevent increased blood pressure levels caused by stress.

    5. Keep Healthy Weights and Avoid Destructive Practices

    An excess amount of body weight further stresses the heart. Simply by losing a little weight, one can readily reduce their blood pressure. In fact, apart from healthy eating habits, a balanced workout routine, avoidance of excessive drinking, as well as quitting smoking, can help reduce high BP. Smoking further harms the blood vessels. Moreover, smoking is a leading cause of heart attacks as well as strokes.

    6. Follow Medications as Prescribed

    For some people, lifestyle modifications by themselves may not be adequate, and the use of medication may become necessary. Medicines for the control of blood pressure are very effective and safe when used. It should not be stopped or altered without consulting the doctor even if the readings become normal.

    In Summary

    In When it comes to dealing with high blood pressure, it is important to make it clear that it is something for which there can never be any short-term solutions. A person can make minute changes in their lifestyle, which otherwise can go a long way in keeping their heart safe for a long time.

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mohdanasMost Helpful
Asked: 07/10/2025In: Technology

How are schools and universities adapting to AI use among students?

schools and universities adapting to

aiandacademicintegrityaiandstudentsaiassistedlearningaiineducationaiintheclassroomfutureoflearning
  1. mohdanas
    mohdanas Most Helpful
    Added an answer on 07/10/2025 at 1:00 pm

    Shock Transformed into Strategy: The 'AI in Education' Journey Several years ago, when generative AI tools like ChatGPT, Gemini, and Claude first appeared, schools reacted with fear and prohibitions. Educators feared cheating, plagiarism, and students no longer being able to think for themselves. BuRead more

    Shock Transformed into Strategy: The ‘AI in Education’ Journey

    Several years ago, when generative AI tools like ChatGPT, Gemini, and Claude first appeared, schools reacted with fear and prohibitions. Educators feared cheating, plagiarism, and students no longer being able to think for themselves.

    But by 2025, that initial alarm had become practical adaptation.

    Teachers and educators realized something profound:

    You can’t prevent AI from learning — because AI is now part of the way we learn.

    So, instead of fighting, schools and colleges are teaching learners how to use AI responsibly — just like they taught them how to use calculators or the internet.

    New Pedagogy: From Memorization to Mastery

    AI has forced educators to rethink what they teach and why.

     1. Shift in Focus: From Facts to Thinking

    If AI can answer instantaneously, memorization is unnecessary.
    That’s why classrooms are changing to:

    • Critical thinking — learning how to ask, verify, and make sense of AI answers.
    • Problem framing — learning what to ask, not how to answer.
    • Ethical reasoning — discussing when it’s okay (or not) to seek AI help.

    Now, a student is not rewarded for writing the perfect essay so much as for how they have collaborated with AI to get there.

     2. “Prompt Literacy” is the Key Skill

    Where students once learned how to conduct research on the web, now they learn how to prompt — how to instruct AI with clarity, provide context, and check facts.
    Colleges have begun to teach courses in AI literacy and prompt engineering in an effort to have students think like they are working in collaboration, rather than being consumers.

    As an example, one assignment could present:

    Write an essay with an AI tool, but mark where it got it wrong or oversimplified ideas — and explain your edits.”

    • That shift moves AI from a timesaver to a thinking partner.

    The Classroom Itself Is Changing

    1. AI-Powered Teaching Assistants

    Artificial intelligence tools are being used more and more by most institutions as 24/7 study partners.

    They help clarify complex ideas, repeatedly test students interactively, or translate lectures into other languages.

    For instance:

    • ChatGPT-style bots integrated in study platforms answer questions in real time.
    • Gemini and Khanmigo (Khan Academy’s virtual tutor) walk students through mathematics or code problems step by step.
    • Language learners receive immediate pronunciation feedback through AI voice analysis.

    These AI helpers don’t take the place of teachers — they amplify their reach, providing individualized assistance to all students, at any time.

    2. Adaptive Learning Platforms

    Computer systems powered by AI now adapt coursework according to each student’s progress.

    If a student is having trouble with algebra but not with geometry, the AI slows down the pace, offers additional exercises, or even recommends video lessons.
    This flexible pacing ensures that no one gets left behind or becomes bored.

     3. Redesigning Assessments

    Because it’s so easy to create answers using AI, the majority of schools are dropping essay and exam testing.

    They’re moving to:

    • Oral debates and presentations
    • Solving problems in class

    AI-supported projects, where students have to explain how they used (and improved on) AI outputs.

    No longer is it “Did you use AI?” but “How did you use it wisely and creatively?”

    Creativity & Collaboration Take Center Stage

    • Teachers are discovering that when used intentionally, AI has the ability to spark creativity instead of extinguishing it.
    • Students using AI to generate visual sketches, which they then paint or design themselves.
    • Literature students review alternate endings or character perspectives created by AI — and then dissect the style of writing.
    • Engineering students prototype faster using generative 3D models.
    • AI becomes less of a crutch and more of a communal muse.

    As one prof put it:

    “AI doesn’t write for students — it helps them think about writing differently.”

    The Ethical Balancing Act

    Even with the adaptation, though, there are pains of growing up.

     Academic Integrity Concerns

    Other students use AI to avoid doing work, submitting essays or code written by AI as their own.

    Universities have reacted with:

    AI-detection software (though imperfect),
    Style-consistency plagiarism detectors, and
    Honor codes emphasizing honesty about using AI.

    Students are occasionally requested to state when and how AI helped on their work — the same way they would credit a source.

     Mental & Cognitive Impact

    Additionally, there is a dispute over whether dependency on AI can erode deep thinking and problem-solving skills.

    To overcome this, the majority of teachers alternated between AI-free and AI-aided lessons to ensure that students still acquired fundamental skills.

     Global Variations: Not All Classrooms Are Equal

    • Wealthier schools with the necessary digital capacity have adopted AI easily — from chatbots to analytics tools and smart grading.
    • But in poorer regions, poor connectivity and devices stifle adoption.
    • This has sparked controversy over the AI education gap — and international efforts are underway to offer open-source tools to all.
    • UNESCO and OECD, among other institutions, have issued AI ethics guidelines for education that advocate for equality, transparency, and cultural sensitivity.

    The Future of Learning — Humans and AI, Together

    By 2025, the education sector is realizing that AI is not a substitute for instructors — it’s a force multiplier.

    The most successful classrooms are where:

    • AI does the personalization and automation,
    • and the instructors do the inspiration and mentoring.
    • Ahead to the next few years, we will witness:
    • AI-based mentorship platforms that track student progress year-over-year.
    • Virtual classrooms where global students collaborate using multilingual AI translation.

    And AI teaching assistants that help teachers prepare lessons, grade assignments, and efficiently coordinate student feedback.

     The Humanized Takeaway

    Learning in 2025 is at a turning point.

    • AI transformed education from one-size-fits-all to ever-evolving, customized, curiosity-driven, not conformity-driven.
    • Students are no longer passive recipients of information — they’re co-creators, learning with technology, not from it.
    • It’s not about replacing teachers — it’s about elevating them.
    • It’s not about stopping AI — it’s about directing how it’s used.
    • And it’s not about fearing the future — it’s about teaching the next generation how to build it smartly.

    Briefly: AI isn’t the end of education as we know it —
    it’s the beginning of education as it should be.

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