Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In


Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here


Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.


Have an account? Sign In Now

You must login to ask a question.


Forgot Password?

Need An Account, Sign Up Here

You must login to add post.


Forgot Password?

Need An Account, Sign Up Here
Sign InSign Up

Qaskme

Qaskme Logo Qaskme Logo

Qaskme Navigation

  • Home
  • Questions Feed
  • Communities
  • Blog
Search
Ask A Question

Mobile menu

Close
Ask A Question
  • Home
  • Questions Feed
  • Communities
  • Blog

Become Part of QaskMe - Share Knowledge and Express Yourself Today!

At QaskMe, we foster a community of shared knowledge, where curious minds, experts, and alternative viewpoints unite to ask questions, share insights, connect across various topics—from tech to lifestyle—and collaboratively enhance the credible space for others to learn and contribute.

Create A New Account
  • Recent Questions
  • Most Answered
  • Answers
  • Most Visited
  • Most Voted
  • No Answers
  • Recent Posts
  • Random
  • New Questions
  • Sticky Questions
  • Polls
  • Recent Questions With Time
  • Most Answered With Time
  • Answers With Time
  • Most Visited With Time
  • Most Voted With Time
  • Random With Time
  • Recent Posts With Time
  • Feed
  • Most Visited Posts
  • Favorite Questions
  • Answers You Might Like
  • Answers For You
  • Followed Questions With Time
  • Favorite Questions With Time
  • Answers You Might Like With Time
daniyasiddiquiEditor’s Choice
Asked: 15/10/2025In: Education, Technology

If students can “cheat” with AI, how should exams and assignments evolve?

students can “cheat” with AI,

academic integrityai and cheatingai in educationassessment designedtech ethicsfuture-of-education
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 15/10/2025 at 2:35 pm

    If Students Are Able to "Cheat" Using AI, How Should Exams and Assignments Adapt? Artificial Intelligence (AI) has disrupted schools in manners no one had envisioned a decade ago. From ChatGPT, QuillBot, Grammarly, and math solution tools powered by AI, one can write essays, summarize chapter contenRead more

    If Students Are Able to “Cheat” Using AI, How Should Exams and Assignments Adapt?

    Artificial Intelligence (AI) has disrupted schools in manners no one had envisioned a decade ago. From ChatGPT, QuillBot, Grammarly, and math solution tools powered by AI, one can write essays, summarize chapter content, solve equations, and even simulate critical thinking — all in mere seconds. No wonder educators everywhere are on edge: if one can “cheat” using AI, does testing even exist anymore?

    But the more profound question is not how to prevent students from using AI — it’s how to rethink learning and evaluation in a world where information is abundant, access is instantaneous, and automation is feasible. Rather than looking for AI-proof tests, educators can create AI-resistant, human-scale evaluations that demand reflection, imagination, and integrity.

    Let’s consider what assignments and tests need to be such that education still matters even with AI at your fingertips.

     1. Reinventing What’s “Cheating”

    Historically, cheating meant glancing over someone else’s work or getting unofficial help. But in 2025, AI technology has clouded the issue. When a student uses AI to get ideas, proofread for grammatical mistakes, or reword a piece of writing — is it cheating, or just taking advantage of smart technology?

    The answer lies in intention and awareness:

    • If AI is used to replace thinking, that’s cheating.
    • If AI is used to enhance thinking, that’s learning.

     Example: A student who gets AI to produce his essay isn’t learning. But a student employing AI to outline arguments, structure, then composing his own is showing progress.

    Teachers first need to begin by explaining — and not punishing — what looks like good use of AI.

    2. Beyond Memory Tests

    Rote memorization and fact-recall tests are old hat with AI. Anyone can have instant access to definitions, dates, or equations through AI. Tests must therefore change to test what machines cannot instantly fake: understanding, thinking, and imagination.

    • Healthy changes are:Open-book, open-AI tests: Permit the use of AI but pose questions requiring analysis, criticism, or application.
    • Higher-order thinking activities: Rather than “Describe photosynthesis,” consider “How could climate change influence the effectiveness of tropical ecosystems’ photosynthesis?”
    • Context questions: Design anchor questions about current or regional news AI will not have been trained on.

    The aim isn’t to trap students — it’s to let actual understanding come through.

     3. Building Tests That Respect Process Over Product

    If we can automate the final product to perfection, then we should begin grading on the path that we take to get there.

    Some robust transformations:

    • Reveal your work: Have students submit outlines, drafts, and thinking notes with their completed project.
    • Process portfolios: Have students document each step in their learning process — where and when they applied AI tools.
    • Version tracking: Employ tools (e.g., version history in Google Docs) to observe how a student evolves over time.

    By asking students to reflect on why they are using AI and what they are learning through it, cheating is self-reflection.

    4. Using Real-World, Authentic Tests

    Real life is not typically taken with closed-book tests. Real life does include us solving problems to ourselves, working with other people, and making choices — precisely the places where human beings and computers need to communicate.

    So tests need to reflect real-world issues:

    • Case studies and simulations: Students use knowledge to solve real-world-style problems (e.g., “Create an AI policy for your school”).
    • Group assignments: Organize the project so that everyone contributes something unique, so work accomplished by AI is more difficult to imitate.
    • Performance-based assignments: Presentations, prototypes, and debates show genuine understanding that can’t be done by AI.

     Example: Rather than “Analyze Shakespeare’s Hamlet,” ask a student of literature to pose the question, “How would an AI understand Hamlet’s indecisiveness — and what would it misunderstand?”

    That’s not a test of literature — that is a test of human perception.

     5. Designing AI-Integrated Assignments

    Rather than prohibit AI, let’s put it into the assignment. Not only does that recognize reality but also educates digital ethics and critical thinking.

    Examples are:

    • “Summarize this topic with AI, then check its facts and correct its errors.”
    • “Write two essays using AI and decide which is better in terms of understanding — and why.”
    • “Let AI provide ideas for your project, but make it very transparent what is AI-generated and what is yours.”

    Projects enable students to learn AI literacy — how to review, revise, and refine machine content.

    6. Building Trust Through Transparency

    Distrust of AI cheating comes from loss of trust between students and teachers. The trust must be rebuilt through openness.

    • AI disclosure statements: Have students compose an essay on whether and in what way they employed AI on assignments.
    • Ethics discussions: Utilize class time to discuss integrity, responsibility, and fairness.
    • Teacher modeling: Educators can just use AI themselves to model good, open use — demonstrating to students that it’s a tool, not an aid to cheating.

    If students observe honesty being practiced, they will be likely to imitate it.

    7. Rethinking Tests for the Networked World

    Old-fashioned time tests — silent rooms, no computers, no conversation — are no longer the way human brains function anymore. Future testing is adaptive, interactive, and human-facilitated testing.

    Potential models:

    • Verbal or viva-style examinations: Assess genuine understanding by dialogue, not memorization.
    • Capstone projects: Extended, interdisciplinary projects that assess depth, imagination, and persistent effort.
    • AI-driven adaptive quizzes: Software that adjusts difficulty to performance, ensuring genuine understanding.

    These models make cheating virtually impossible — not because they’re enforced rigidly, but because they demand real-time thinking.

     8. Maintaining the Human Heart of Education

    • Regardless of where AI can go, the purpose of education stays human: to form character, judgment, empathy, and imagination.
    • AI may perhaps emulate style but never originality. AI may perhaps replicate facts but never wisdom.

    So the teacher’s job now needs to transition from tester to guide and architect — assisting students in applying AI properly and developing the distinctively human abilities machines can’t: curiosity, courage, and compassion.

    As a teacher joked:

    • “If a student can use AI to cheat, perhaps the problem is not the student — perhaps the problem is the assignment.”
    • That realization encourages education to take further — to design activities that are worthy of achieving, not merely of getting done.

     Last Thought

    • AI is not the end of testing; it’s a call to redesign it.
    • Rather than anxiety that AI will render learning obsolete, we can leverage it to make learning more real than ever before.
    • In the era of AI, the finest assignments and tests no longer have to wonder:

    “What do you know?”

    but rather:

    • “What can you make, think, and do — AI can’t?”
    • That’s the type of assessment that breeds not only better learners, but wise human beings.
    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 395
  • 1k
  • 0
Answer
daniyasiddiquiEditor’s Choice
Asked: 08/10/2025In: News

Could new tariff measures slow down the global economic recovery in 2026?

the global economic recovery in 2026

economic recoveryglobal tradeinflationsupply chain disruptionstariffstrade policy
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 08/10/2025 at 3:00 pm

    How tariffs slow an economy (the simple mechanics) Higher import prices → weaker demand. Tariffs raise the cost of imported inputs and final goods. Companies either pay more for raw materials and intermediate goods (squeezing margins) or pass costs to consumers (reducing purchasing power). That combRead more

    How tariffs slow an economy (the simple mechanics)

    • Higher import prices → weaker demand. Tariffs raise the cost of imported inputs and final goods. Companies either pay more for raw materials and intermediate goods (squeezing margins) or pass costs to consumers (reducing purchasing power). That combination cools consumption and industrial activity.
    • Supply-chain disruption & re-shoring costs. Firms respond by reconfiguring supply chains (finding new suppliers, on-shoring, or stockpiling). Those adjustments are expensive and slow to pay off — in the near term they reduce investment and efficiency.
    • Investment chill from uncertainty. The prospect of escalating or unpredictable tariffs raises policy uncertainty. Businesses delay or scale back capital projects until trade policy stabilizes.
    • Retaliation and cascading barriers. Tariffs often trigger retaliatory measures. When many countries raise barriers, global trade volumes fall, which hits export-dependent economies and global value chains.

    These channels are exactly why multilateral agencies and market analysts say tariffs and trade restrictions can lower growth even when headline GDP still looks “resilient.”

    What the major institutions say (quick reality check)

    • The IMF’s recent updates show modest global growth in 2025–26 but flag tariff-driven uncertainty as a downside risk. Their 2025 WEO update projects global growth near 3.0% for 2025 and 3.1% for 2026 while explicitly warning that higher tariffs and policy uncertainty are important risks.
    • The OECD and several analysts argue the full force of recent tariff shocks hasn’t been felt yet — and they project growth weakening in 2026 as front-loading of imports ahead of tariffs wears off and higher effective tariff rates bite. The OECD’s interim outlook expects a slowdown in 2026 tied to these effects.
    • The WTO and World Bank also report trade-volume weakness and flag trade barriers as a material drag on trade growth — which feeds into lower global GDP.
    • These institutions are not predicting a single global recession just from tariffs, but they do expect measurable downward pressure on trade and investment, which slows recovery momentum.

    How big could the hit be? (it depends — but here are the drivers)

    Magnitude depends on policy breadth and persistence. Small, narrow tariffs on a few goods will only nudge growth; widespread, high tariffs across major economies (or sustained tit-for-tat escalation) can shave sizable tenths of a percentage point off global growth. Analysts point out that front-loading (firms buying ahead of tariff implementation) can temporarily buoy trade, but once that fades the negative effects appear.

    Timing matters. If tariffs are announced and then held in place for years, businesses will invest in duplicative capacity and the re-allocation costs accumulate. That’s the scenario most likely to slow growth into 2026.
    Bloomberg

    Who loses most

    • Export-dependent emerging markets (small open economies and commodity exporters) suffer when demand falls in advanced markets or when their inputs become more expensive.
    • Complex-value-chain industries (autos, electronics, semiconductors) where components cross borders many times are particularly vulnerable to tariffs and retaliations.
    • Low-income countries feel second-round effects: slower global growth → weaker commodity prices → less fiscal space and elevated debt stress. The World Bank notes growth downgrades when trade restrictions rise.
      World Bank

    Knock-on effects for inflation and policy

    Tariffs can be inflationary (higher import prices), which puts central banks in a bind: tighten to fight inflation and risk choking off growth, or tolerate higher inflation and risk de-anchored expectations. Either choice complicates recovery and could reduce real incomes and investment. Several policymakers have voiced concern that the mix of tariffs plus high policy uncertainty creates a stagflation-like risk in vulnerable economies.

    Offsets and reasons the slowdown may be limited

    • Front-loading and substitution. Businesses sometimes build inventories or substitute suppliers — that mutes immediate trade declines. IMF and other agencies note that some front-loading actually supported 2024–2025 trade figures, but this effect runs out.
    • Fiscal and monetary support. Governments can cushion the blow with targeted fiscal spending, subsidies, or trade facilitation. But those measures have limits (fiscal space, political will) and can’t fully replace cross-border trade flows.
    • Near-term resilience in consumption. Private sectors in some major economies have remained resilient, which helps growth hold up even as trade cools. But resilience erodes if tariffs persist and investment dries up.
      Reuters

    Practical indicators to watch in 2025–26 (what will tell us the story)

    • Trade volumes (WTO merchandise trade stats): a sustained drop signals broad tariff damage.
    • Business investment and capex plans: continued delays or cancellations point to a deeper investment chill.
    • Manufacturing PMI and global supply-chain bottlenecks: weakening PMIs across manufacturing hubs show cascading effects.
    • Inflation vs. growth trade-offs and central bank minutes: whether monetary policy tightens in response to tariff-driven inflation.
    • Announcements of trade retaliation or new tariff rounds: escalation increases downside risk; diplomatic rollbacks reduce it.

    Bottom line — a human takeaway

    Tariffs won’t necessarily cause an immediate, synchronized global recession in 2026, but they are a clear and credible downside risk to the fragile recovery. They act like a slow-moving tax on trade: higher costs, muddled investment decisions, and weaker demand — combined effects that shave growth and worsen inequalities between export-dependent and more closed economies. Policymakers can limit the damage with diplomacy, targeted support for affected industries and countries, and clear timelines — but if protectionism persists or escalates, the global recovery will be noticeably weaker in 2026 than it might otherwise have been.

    If you want, I can:

    • Turn this into a one-page slide for a briefing (executive summary + 3 charts of trade volume, investment plans, and projected growth scenarios); or
    • Pull the most recent WTO/OECD/IMF bullets (with dates and one-sentence takeaways) to cite in a short memo.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 621
  • 7k
  • 0
Answer
daniyasiddiquiEditor’s Choice
Asked: 12/10/2025In: News

Is India upgrading its engagement with the Taliban government, including plans to reopen its embassy in Kabul?

India upgrading its engagement with t ...

diplomatic recognitionembassy reopeningforeign policyindia–afghanistan relationss. jaishankartaliban government
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 12/10/2025 at 1:21 pm

    India’s Renewed Outreach to Afghanistan: A Delicate Diplomatic Shift Yes, India is indeed upgrading its engagement with the Taliban government in Afghanistan and is reportedly planning to reopen its embassy in Kabul after more than three years of limited operations. This marks a significant — and caRead more

    India’s Renewed Outreach to Afghanistan: A Delicate Diplomatic Shift

    Yes, India is indeed upgrading its engagement with the Taliban government in Afghanistan and is reportedly planning to reopen its embassy in Kabul after more than three years of limited operations. This marks a significant — and cautious — recalibration in New Delhi’s foreign policy toward a country with which it shares deep historical, cultural, and economic ties.

    Background: From Withdrawal to

    Reconnection

    When the Taliban seized power in August 2021, India, like most other nations, swiftly evacuated its diplomats and suspended its official presence in Kabul. At that time, New Delhi’s stance was one of wait and watch, reflecting deep concern about the Taliban’s past links to terrorism and their implications for India’s security interests, particularly regarding Pakistan-based extremist groups.

    But ever since the past two years, ground realities have shifted. The Taliban, as it sought world legitimacy and economic relief, was more amenable to initiate negotiations. India, for its part, realizes that it is neither strategically nor long-term viable to fully isolate Afghanistan — especially since China, Pakistan, Iran, and Russia have all maintained or expanded their presence in Afghanistan.

     Plans to Reopen the Embassy

    It is said that India has been making logistical and security preparations to re-establish its full-fledged embassy in Kabul, which has been operating in a limited form since 2022 under a “technical mission.”

    It has largely handled the distribution of humanitarian assistance, monitoring of development projects, and visas for Afghan students and patients traveling to India.

    A formal re-opening would be India’s most openly diplomatic engagement with the Taliban government so far — an exercise of pragmatism and symbolism. It signifies India’s desire to exercise influence over Afghanistan and protect its investments, which amount to over $3 billion in infrastructure and relief activities since 2001.

     India’s Strategic Motivations

    India’s fresh initiative is driven by a mix of security, economic, and geopolitical interests:

    • Counteracting Pakistani Influence: Pakistan has dominated Kabul for decades. Reopening an embassy enables India to restore a foothold and ensure that Afghan ground is not used against India.
    • Humanitarian Obligation: India has supplied wheat, medicine, and COVID-19 shots to Afghanistan despite the Taliban regime. Strengthening diplomatic ties enables smoother delivery of aid to Afghans.
    • Regional Stability: A stable Afghanistan is beneficial to India’s connectivity and trade interests in Central Asia, particularly under projects like the Chabahar Port and the International North-South Transport Corridor (INSTC).
    • Engagement over Isolation: India prefers to engage the de facto powers to influence developments rather than letting a vacuum fall into the lap of their rivals like China or Pakistan.

    Diplomatic Tightrope: Recognition vs. Engagement

    It must be noted that India has not yet recognized the Taliban regime officially, but nor will it do so at this time. It’s an issue of practical engagement more than political approval in order to restore its embassy.

    • New Delhi continues to hold out for inclusive politics, women’s empowerment, and counter-terror commitments as the terms of full diplomatic recognition.

    This realistic approach allows India to defend its interests without deviating from the general international belief of action under the leadership of the United Nations.

    Broader Implications & International Reactions

    • The international community has largely interpreted India’s action as a pragmatic and necessary step. The Western nations, many of whom have limited contact with the Taliban, view India as a trusted interlocutor who can help moderate the regime’s attitude.
    • While Afghans themselves, above all those recipients of Indian scholarships, medical aid, and development initiatives — have in general been welcoming the shift as one made by a friend over a long time, rather than an exchange ally.
    • India’s re-engagement with Afghanistan during the Taliban period is a diplomatic balance of the tightrope kind — a balancing act that is a mix of realism and humanitarian sensitivities. By reopening its embassy and upgrading relations, New Delhi aims to be a player in the changing political landscape of Afghanistan, protect its people-to-people ties, and prevent the country slipping further into isolation.

    It is a modest but important shift — one that reflects India’s growing self-assurance as a regional power that can promote its national interests without compromising moral and strategic imperatives.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 993
  • 6k
  • 0
Answer
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.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 995
  • 5k
  • 0
Answer
daniyasiddiquiEditor’s Choice
Asked: 28/12/2025In: Technology

How is prompt engineering different from traditional model training?

prompt engineering different from tra ...

artificialintelligencegenerativeailargelanguagemodelsmachinelearningmodeltraining
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 28/12/2025 at 4:05 pm

    What Is Traditional Model Training Conventional training of models is essentially the development and optimization of an AI system by exposing it to data and optimizing its internal parameters accordingly. Here, the team of developers gathers data from various sources and labels it and then employsRead more

    What Is Traditional Model Training

    Conventional training of models is essentially the development and optimization of an AI system by exposing it to data and optimizing its internal parameters accordingly. Here, the team of developers gathers data from various sources and labels it and then employs algorithms that reduce an error by iterating numerous times.

    While training, the system will learn about the patterns from the data over a period of time. For instance, an email spam filter system will learn to categorize those emails by training thousands to millions of emails. If the system is performing poorly, engineers would require retraining the system using better data and/or algorithms.

    This process usually involves:

    • Huge amounts of quality data
    • High computing power (GPUs/TP
    • Time-consuming experimentation and validation
    • Machine learning knowledge for specialized applications

    After it is trained, it acts in a way that cannot be changed much until it is retrained again.

    What is Prompt Engineering?

    “Prompt Engineering” is basically designing and fine-tuning these input instructions or prompts to provide to a pre-trained model of AI technology, and specifically large language models to this point in our discussion, so as to produce better and more meaningful results from these models. The technique of prompt engineering operates at a purely interaction level and does not necessarily adjust weights.

    In general, the prompt may contain instructions, context, examples, constraints, and/or formatting aids. As an example, the difference between the question “summarize this text” and “summarize this text in simple language for a nonspecialist” influences the response to the question asked.

    Prompt engineering is based on:

    • Clear and well-structured instructions
    • Establishing Background and Defining Roles
    • Examples (few-shot prompting)
    • Iterative refinement by testing

    It doesn’t change the model itself, but the way we communicate with the model will be different.

    Key Points of Contrast between Prompt Engineering and Conventional Training

    1. Comparing Model Modification and Model Usage

    “Traditional training involves modifying the parameters of the model to optimize performance. Prompt engineering involves no modification of the model—only how to better utilize what knowledge already exists within it.”

    2. Data and Resource Requirements

    Model training involves extensive data, human labeling, and costly infrastructure. Contrast this with prompt design, which can be performed at low cost with minimal data and does not require training data.

    3. Speed and Flexibility

    Model training and retraining can take several days or weeks. Prompt engineering enables instant changes to the behavioral pattern through changes to the prompt and thus is highly adaptable and amenable to rapid experimentation.

    4. Skill Sets Involved

    “Traditional training involves special knowledge of statistics, optimization, and machine learning paradigms. Prompt engineering stresses the need for knowledge of the field, clarifying messages, and structuring instructions in a logical manner.”

    5. Scope of Control

    Training the model allows one to have a high, long-term degree of control over the performance of particular tasks. It allows one to have a high, surface-level degree of control over the performance of multiple tasks.

    Why Prompt Engineering has Emerged to be So Crucial

    The emergence of large general-purpose models has changed the dynamics for the application of AI in organizations. Instead of training models for different tasks, a team can utilize a single highly advanced model using the prompt method. The trend has greatly eased the adoption process and accelerated the pace of innovation,

    Additionally, “prompt engineering enables scaling through customization,” and various prompts may be used to customize outputs for “marketing, healthcare writing, educational content, customer service, or policy analysis,” through “the same model.”

    Shortcomings of Prompt Engineering

    Despite its power, there are some boundaries of prompt engineering. For example, neither prompt engineering nor any other method can teach the AI new information, remove deeply set biases, or function correctly all the time. Specialized or governed applications still need traditional or fine-tuning approaches.

    Conclusion

    At a very conceptual level, training a traditional model involves creating intelligence, whereas prompt engineering involves guiding this intelligence. Training modifies what a model knows, whereas prompt engineering modifies how a certain body of knowledge can be utilized. In this way, both of these aspects combine to constitute methodologies that create contrasting trajectories in AI development.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 1k
  • 60k
  • 0
Answer
daniyasiddiquiEditor’s Choice
Asked: 07/09/2025In: Digital health, Technology

Should children have access to “AI kid modes,” or will it harm social development and creativity?

“AI kid modes,” or will it harm socia ...

aidigital healthtechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 07/09/2025 at 2:31 pm

    What Are "AI Kid Modes"? Think of AI kid modes as friendly, child-oriented versions of artificial intelligence. They are designed to block objectionable material, talk in an age-appropriate manner, and provide education in an interactive format. For example: A bedtime story companion that generatesRead more

    What Are “AI Kid Modes”?

    Think of AI kid modes as friendly, child-oriented versions of artificial intelligence. They are designed to block objectionable material, talk in an age-appropriate manner, and provide education in an interactive format. For example:

    • A bedtime story companion that generates made-up bedtime stories on the fly.
    • A math aid that works through it step by step at a child’s own pace.
    • A query sidekick able to answer “why is the sky blue?” 100 times and still keep their sanity.
    • As far as appearances go, AI kid modes look like the ultimate parent dream secure, instructive, and ever-at-hand.

    The Potential Advantages

    AI kid modes could unleash some positives in young minds:

    • Personalized Learning – As AI is not limited by the class size, it will learn according to a child’s own pace, style, and interest. When a child is struggling with fractions, the AI will explain it in dozens of ways for as long as it takes until there is the “lightbulb” moment.
    • Endless Curiosity Partner – Children are question-machines by nature. An AI that never gets tired of “why” questions can nurture curiosity instead of crushing it.
    • Accessibility – Disabled or language-impaired children can be greatly assisted by customized AI support.
    • Safe Digital Spaces – A properly designed kid mode may be able to shield children from seeing internet material that is not suitable for their age level, rendering the digital space enjoyable and secure.

    In these manners, AI kid modes would become less toy-like and more facilitative companion-like.

    The Risks and Red Flags

    But there is another half to the tale of parents, teachers, and therapists.

    • More Human Interdependence – Children acquire people skills—empathy, compromise, tolerance—through dirty, messy interactions with people, not ideal algorithms. Relying on AI could substitute mothers and fathers, siblings, friends with screens.
    • Creativity in Jeopardy – A child who is always having an AI generate stories, pictures, or thoughts loses contact with being able to dream on their own. With responses readily presented at the push of a question, the frustration that powers creativity starts to weaken.
    • Emotional Dependence – Kids will start to depend upon AI as an object of comfort, self-verifying influence, or friend. It might be comforting but destroys the ability to build deep human relationships.
    • Innate Biases – Even “safe” AI is built using human information. Imagine whatever stories it tells always reflect some cultural bias or reinforce stereotypes?

    So while AI kid modes are enchanted, they can subtly redefine how kids grow up.

    The Middle Path: Balance and Boundaries

    Perhaps the answer lies not in banning or completely embracing AI kid modes, but in putting boundaries in place.

    • As a Resource, Not a Substitute: AI can be used to help with homework explanations, but can never replace playdates, teachers, or family stories.
    • Co-Use with Adults: AI may be shared between children and parents or educators, converting screen time into collaborative activities rather than solitary viewing.
    • Creative Spurts, Not Endpoints: Instead of giving pre-completed answers, AI could pose a question like, “What do you imagine happens next in the story?”

    In this manner, AI is a trampoline that opens up imagination, not a couch that tempts sloth.

    The Human Dimension

    Imagine two childhoods:

    In another, a child spends hours a day chatting with an AI friend, creating AI-assisted art, and listening to AI-generated stories. They’re safe, educated, and entertained—but their social life is anaemic.

    In the first, a child spends some time with AI to perform story idea generation, read every day, or complete puzzles but otherwise is playing with other kids, parents, and teachers. AI here is a tool, not a replacement.

    Which of these children feels more complete? Most likely, the second.

    Last Thoughts

    AI kid modes are neither magic nor threat—no matter whether they’re a choice about how we use them. As a tool to complement childhood, instead of replace it, they can ignite awe, provide safeguarding, and open up new possibilities. Let loose, however, they may disintegrate the very qualities—creativity, empathy, resilience—that define us as human.

    The real test is not whether or not kids will have access to AI kid modes, but whether or not grown-ups can use that access responsibly. Ultimately, it is less a question about what we can offer children through AI, and more a question of what we want their childhood to be.

    See less
      • 1
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 3
  • 582
  • 2k
  • 0
Answer
mohdanasMost Helpful
Asked: 21/10/2025In: News, Technology

Are AI video generators tools that automatically produce video content using machine learning experiencing a surge in popularity and search growth?

AI video generators tools that automa ...

ai-video-generatorgenerative-aisearch-trendsvideo-content-creation
  1. mohdanas
    mohdanas Most Helpful
    Added an answer on 21/10/2025 at 4:54 pm

    What Are AI Video Generators? AI video generators are software and platforms utilizing machine learning and generative AI models to produce videos by themselves frequently from a basic text prompt, script, or simple storyboard. Rather than requiring cameras, editing tools, and a production crew, useRead more

    What Are AI Video Generators?

    AI video generators are software and platforms utilizing machine learning and generative AI models to produce videos by themselves frequently from a basic text prompt, script, or simple storyboard.

    Rather than requiring cameras, editing tools, and a production crew, users enter a description of a scene or message (“a short ad for a fitness brand” or “a tutorial explaining blockchain”), and the AI does the rest generating professional-looking imagery, voiceovers, and animations.

    Some prominent instances include:

    • Synthesia, which turns text into videos with AI avatars that look realistic.
    • Runway ML and Pika Labs, which leverage generative diffusion models to animate scenes.
    • HeyGen and Colossyan, video automation learning and business experts.

     Why So Popular All of a Sudden?

    1. Democratization of Video Production

    Years ago, creating a great video required costly cameras, editors, lighting, and post-production equipment. AI video creators break those limits today. One person can produce what would formerly require a whole team all through a web browser.

    2. Blowing Up Video Content Demand

    • Social media sites like Instagram, TikTok, YouTube Shorts, and LinkedIn are all video-first.
    • Today’s marketers require an ongoing supply of engaging, focused video material, and AI provides a scalable means of filling that requirement.

    3. AI Breakthroughs with Text-to-Video Models

    • New AI designs, particularly diffusion and transformer models, can reverse text, sound, and images to produce stable and life-like frames.
    • This technological advancement combined with massive GPU compute resources is getting cheaper while delivering more.

    4. Localization & Personalization

    With AI, businesses are now able to make the same video in any language within seconds with the same face and lip-synchronized movement. This world-scale ability is priceless for training, marketing, and e-learning.

    5. Connection with Marketing & CRM Tools

    The majority of video AI tools used today communicate with HubSpot, Salesforce, Canva, and ChatGPT directly, enabling companies to incorporate video creation into everyday functioning bringing automation to sales, HR, and marketing.

    The Human Touch: Creativity Maximized, Not Replaced

    • Even though there has been concern that AI would replace human creativity, what is really occurring is an increase in creative ability.
    • Writers, designers, teachers, and architects are using these tools as co-creators  accelerating routine tasks such as writing, translation, and editing and keeping more time for imagination and storytelling.

    Consider this:

    • Instead of stealing the director’s chair, AI is the camera crew quick, lean, and waiting in the wings around the clock.

     Real-World Impact

    • Marketing: Brands are producing hundreds of customized video ads aimed at audience segments.
    • Education: Teachers can create multilingual explainer videos or virtual lectures without needing to record themselves.
    • E-commerce: Sellers can introduce products with AI-created models or voiceovers.
    • Corporate Training: HR departments can render compliance training and onboarding compliant through AI avatars.

    Challenges & Ethical Considerations

    Of course, the expansion creates new questions:

    • Authenticity: How do we differentiate AI-created videos from real recordings?
    • Bias: If trained with biased data, representations will be biased.
    • Copyright & Deepfake Risks: Abuse of celebrity likenesses and copyrighted imagery is a new concern.

    Regulations like the EU AI Act and upcoming US content disclosure rules are expected to set clearer boundaries.

     The Future of AI Video Generation

    In the next 2–3 years, we’ll likely see:

    • Text-to-Full-Film systems capable of producing short films with coherent storylines.
    • Interactive video production, in which scenes can be edited using natural language (“make sunset,” “change clothes to formal”).
    • Personalizable digital twins to enable creators to sell their own avatars as a part of branded content.
    • As the technology matures, AI video making will go from novelty to inevitability  just like Canva did for design or WordPress for websites.

    Actually, AI video makers are totally thriving — not only in query volume, but in actual use and creative impact.

    They’re rewriting the book on how to “make a video” and making it an art form that people can craft for themselves.

    See less
      • 1
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 2
  • 1k
  • 52k
  • 0
Answer
Load More Questions

Sidebar

Ask A Question

Stats

  • Questions 554
  • Answers 22k
  • Posts 135
  • Best Answers 21
  • Popular
  • Answers
  • daniyasiddiqui

    How is prompt engine

    • 1180 Answers
  • mohdanas

    Are AI video generat

    • 1121 Answers
  • daniyasiddiqui

    What is the future o

    • 1085 Answers
  • FobertDib
    FobertDib added an answer You have managed to summarize a rather extensive amount of information into a highly readable format that keeps the reader… 16/08/2026 at 7:18 am
  • MartinSpemi
    MartinSpemi added an answer Buy generic 100mg Viagra online: MenCare Virtual - Sildenafil 100mg price 16/08/2026 at 7:14 am
  • Narkolog na dom_zrKa
    Narkolog na dom_zrKa added an answer Слушайте кто знает Отец не выходит из штопора Родственники не знают что делать В больницу тащить страшно Короче, только это… 16/08/2026 at 6:42 am

Top Members

Trending Tags

ai aiineducation ai in education analytics artificialintelligence artificial intelligence company deep learning digital health edtech education health investing machine learning machinelearning news people tariffs technology trade policy

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help

© 2025 Qaskme. All Rights Reserved