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daniyasiddiquiImage-Explained
Asked: 15/10/2025In: Health

“How do I stop a panic attack?

stop a panic attack?

anxietybreathing techniquescoping strategiesmental healthmindfulnesspanic attacks
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 15/10/2025 at 4:22 pm

     Understanding What’s Happening A panic attack can feel terrifying — your heart races, breathing becomes shallow, your hands tremble, and your mind might scream “I’m losing control!” But the first truth to hold on to is this: you’re not in danger. A panic attack is your body’s “fight-or-flight” systRead more

     Understanding What’s Happening

    A panic attack can feel terrifying — your heart races, breathing becomes shallow, your hands tremble, and your mind might scream “I’m losing control!” But the first truth to hold on to is this: you’re not in danger. A panic attack is your body’s “fight-or-flight” system misfiring — releasing adrenaline as if you’re facing real danger, even though you’re not.

    The feelings — racing heartbeat, dizziness, chest constriction, sweating — are your body reacting to get ready to run away from a non-existent threat. The instant you notice it, you begin taking control back from the fear itself.

     Step 1: Notice Your Breath

    Breathing accelerates when panic hits, and as a result, it causes dizziness or lightheadedness — and that, in turn, generates the panic.

    Try this simple exercise:

    • 4-7-8 breathing
    • Slowly breathe in through your nose for 4 seconds
    • Breathe in and hold for 7 seconds
    • Slowly breathe out through your mouth for 8 secondsRepeat this 3–4 times.

    Your heart rate will start to slow down and your brain will know that it can calm down.

     Step 2: Ground Yourself in the Present

    Panic attacks also have the ability to make you feel disconnected from the world — as if you’re above your body, or as if nothing matters. To get back down to earth again:

    Do the 5-4-3-2-1 grounding exercise:

    • 5 things you can see
    • 4 things you can touch
    • 3 things you can hear
    • 2 things you can smell
    • 1 thing you can taste

    This exercise is used to distract your focus away from fear and into your body, reminding your mind you’re here and now and safe.

     Step 3: Be Gentle with Yourself with Words

    What you say to yourself matters. Instead of “I can’t do this,” say:

    • “I’ve had this feeling before — and it disappeared.”
    • “I am safe in this moment.”
    • “This is my body responding nervously, not something fearful.”

    Your inner voice will either fan the panic or soothe the storm. Choose reassurance, not judgment.

     Step 4: Gently Move Your Body

    As able, gradually walk, stretch arms, or roll shoulders. Slow, gentle movement dissolves tension and instructs the body that the emergency is over. Sudden, hard exercise during an attack, however, will replicate the symptoms of panic.

    Step 5: Cool Down Physically

    Splash cool water on your face or press a cold object (a cold water bottle, for example). The cold will trigger the diving reflex, a natural response by your body that calms your nervous system and slows your heart.

     Step 6: After-Reflection

    After a panic attack has passed — typically in 10–20 minutes — take a few minutes to note what worked and what didn’t.
    Ask yourself:

    • What was I doing or focusing on just before it began?
    • Did anything normal trigger it (not sleeping, caffeine, stress, missing meals)?
    • What pulled me out of it quickest?

    This assists you in getting ready and readying yourself for future attacks with greater courage.

     Step 7: Establish Long-Term Resilience

    Avoiding the panic attack in the moment to avoid it is critical — but knowing why is the way you avoid them.

    Daily habits that reduce frequency of panic:

    • Routine exercise: even 20 minutes of walking or yoga can level the mood.
    • Routine sleep regimen: irregular rest causes more anxiety.
    • Reduce alcohol and caffeine: both cause panic symptoms.
    • Mindfulness or meditation: helps to condition your mind into responding calmly to stress.
    • Therapy (most especially CBT): allows you to learn how to identify and reinterpret patterns of worrying thoughts.

     Step 8: Reach Out — You’re Not Alone

    Millions suffer from panic attacks, and many keep it a secret because they are ashamed. Panic disorder and anxiety disorders are two of the most successfully treated illnesses, however. If the attacks are ongoing, or you have been living in constant fear of them, reach out to a therapist, counselor, or even a best friend.

    To be said “I understand” by someone can break the grip of panic on you.

     Final Thought

    A panic attack can feel like a tidal wave — sudden, smothering, inescapable — but it always recedes. With patience, persistence, and learning, you can not only survive them but short-circuit them. Every time you calm yourself, you are conditioning your mind that you’re safe — and that is stronger than is fear.

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daniyasiddiquiImage-Explained
Asked: 15/10/2025In: News

Is India experiencing strong domestic momentum, with its equity markets expected to see $8 billion in IPOs by year-end?

India experiencing strong domestic mo ...

capital marketsdomestic investmentequity issuanceindia equity marketsipo outlookmarket momentum
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 15/10/2025 at 3:34 pm

    Domestic Market Momentum Indian equities have been gaining strength on the back of a host of factors: Growing investor confidence: Domestic retail investors and institutional investors are back in Indian equities, propelled by sustained economic growth and positive corporate earnings. Supportive polRead more

    Domestic Market Momentum

    Indian equities have been gaining strength on the back of a host of factors:

    • Growing investor confidence: Domestic retail investors and institutional investors are back in Indian equities, propelled by sustained economic growth and positive corporate earnings.
    • Supportive policies: Policy measures like the Production-Linked Incentive (PLI) schemes, increasing digital infrastructure, and pro-business reforms have ensured that there is a conducive environment for companies to list.
    • International infatuation: With economic instability reigning supreme around the world, India is becoming an investment haven, and its IPO market is where international investors are finding their thrill.

    The IPO Boom

    The $8 billion is worth the value of the upcoming IPOs within the space of technology and fintech to consumer and manufacturing products. Some of the big and mid-cap companies are poised to list and raise capital to grow, innovate, and refinance.

    This IPO activity is more than the mere infusion of money into the marketplace — it’s a symbol of corporate confidence and evidence that firms have faith in India’s growth story and in the possibility of long-term returns.

     Economy Benefits

    A healthy IPO market has several beneficial effects on the Indian economy:

    • Growth capital: The money can be used by firms that raise capital through IPOs to invest in new ventures, research, and infrastructure, and hence create employment opportunities and increase productivity.
    • Generation of wealth: Mutual funds and retail investors are provided with opportunities to invest in new listings, having scope for potential growth in the market.
    • Market maturity: A healthy IPO market is promoted and encourages better transparency, accountability, and corporate governance, thus an investor feels more confident in general.

    Most of the firms that seek to list IPOs are tech startups. The Indian startup ecosystem, especially in AI, fintech, and edtech, has developed very rapidly, and these IPOs provide investors with exposure to scale innovation.

    By going public in the stock exchange, startups raise capital for expansion of operations, increasing global competitiveness, and talent attraction that further drives India’s growth story of innovation.

     Global Context

    Despite the uncertainty of global markets in terms of increasing interest rates, geopolitics, and inflation fears, India’s IPO boom is an indicator of the stability of the country. India is considered by investors as a long-term growth opportunity, and hence the trend of IPOs is not only a local trend but a matter of international financial concern as well.

     Summary

    In short, India’s estimated $8 billion IPO activity during the remainder of the year is an indicator of a healthy domestic economy, investor interest, and a robust entrepreneurial economy. It is a definite sign that India is on a trajectory of positive growth, with opportunities for business, investors, and the economy in general.

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daniyasiddiquiImage-Explained
Asked: 15/10/2025In: News

Did Israel agree to release 250 prisoners as part of the Gaza ceasefire deal?

Israel agree to release 250 prisoners ...

ceasefire agreementconflict resolutionhostage exchangeisrael‑hamas negotiationsmiddle east politicsprisoner swap
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 15/10/2025 at 3:14 pm

     Ceasefire Background The Gaza Strip has also been a battleground for decades, and the Israel-Hamas recent war involved an armed confrontation, casualties, and a humanitarian emergency. Due to international pressure and regional diplomatic efforts, Egypt, Qatar, the United Nations, and others faciliRead more

     Ceasefire Background

    The Gaza Strip has also been a battleground for decades, and the Israel-Hamas recent war involved an armed confrontation, casualties, and a humanitarian emergency. Due to international pressure and regional diplomatic efforts, Egypt, Qatar, the United Nations, and others facilitated a ceasefire in Sharm El Sheikh.

    The prisoner exchange is a confidence-builder supreme because it is a sign that both sides are ready to make concessions. It is a tactical action on the part of Israel to relieve tensions in the air and to show a readiness to negotiate. For Hamas, the exchange is a political and humanitarian victory that fortifies their bargaining position.

     Who are the Prisoners?

    Among the 250 to be released are Palestinian inmates in Israeli prisons for security crimes, political protest, and involvement in past hostilities. Although Israel has not made the list public because of security issues, the release is likely to include long-term inmates who themselves have become icons of Palestinian hardship and fortitude.

    Their release is seen as an act of humanity to soothe public outrage and build momentum toward a more lasting ceasefire. Families of the prisoners have been restrained in their hopes, mentioning the social and emotional value of being reunited after time away from each other.

    Diplomatic and Regional Implications

    The prisoner releases have implications that extend beyond Gaza:

    • Egypt and Qatar intervention: They intervened by assuming a mediation role of the ceasefire, facilitating negotiations and ensuring that the agreement could be enforced without the need for immediate violations.
    • International response: The United Nations as well as key Western nations like the United States and EU states have received the release as a move towards peace and stability while calling on both sides to engage in more substantive negotiations.
    • Public message: Israeli action announces a willingness to pursue concrete action against quelling violence, and Hamas can offer the release as a concrete gain to add strength to its image in public opinion.

    Humanitarian Impact

    Prisoner release and truce are followed by relief and aid activities for Gaza’s civilian population whose war-depleted stocks of food, water, and medicine have been a source of worry. Prisoner release does not just symbolize anything but also a larger movement to bring relief to human suffering and restore some semblance of normalcy into life.

    Each side’s individuals see the step as modest but significant toward reconciliation, pointing to the very decency of geopolitical conflict — aside from headlines, there are half a million individual human stories of estrangement, fear, and hope.

    Challenges Ahead

    Even while the release is a silver lining, some actual challenges still face us:

    • The maintenance of the ceasefire: There is always a danger of violations on both sides, and this would restore hostilities very swiftly.
    • Political opposition: There may be some elements in Israel and Gaza who may oppose prisoner releases on grounds of security or ideology.
    • Long-term peace: Prisoner releases are short-term confidence-building measures, and final peace will rely on continued talking, economic reconstruction, and political compromise.

     The Human Element

    Outside politics, prisoner release is a quintessentially human narrative. Dozens of Gaza families will be reunited with relatives, bringing the cost in human terms of being in danger into stark relief. It is a reminder that, while political games are being played, actual human lives are irreparably changed by such decisions.

    For the Palestinians, the release is symbolic of hope, dignity, and recognition of suffering. To the Israelis, it is a diplomatic approach toward security rather than just through militarization.

     Summary

    All in all, the Israeli move to free 250 prisoners as part of the Gaza ceasefire agreement is a big step towards de-escalation, opening humanitarian corridors, and promoting diplomacy. There are still roadblocks ahead, but the move is a wise piece of conflict management that juggles security interests, political pragmatism, and human sentiment in one tough but significant gesture.

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daniyasiddiquiImage-Explained
Asked: 15/10/2025In: News

Has Google announced a $15 billion investment in India to build a major AI hub and cloud infrastructure?

Google announced a $15 billion invest ...

ai hub indiacloud infrastructuredata centresforeign direct investmentgoogle investmentindia tech infrastructure
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 15/10/2025 at 2:48 pm

    A Five-Year Plan to Make India an AI Powerhouse Google's new investment is not a data center or office space — it's a part of a five-year plan to make India the global leader in artificial intelligence. The company will build state-of-the-art AI research centers, increase its cloud computing networkRead more

    A Five-Year Plan to Make India an AI Powerhouse

    Google’s new investment is not a data center or office space — it’s a part of a five-year plan to make India the global leader in artificial intelligence. The company will build state-of-the-art AI research centers, increase its cloud computing network, and collaborate closely with Indian startups, government departments, and educational institutions.

    This initiative is supporting the Digital India and AI Mission projects of the Indian government, where artificial intelligence is to be incorporated in governing, healthcare, agriculture, and education. Google has announced that it aims to enable AI “accessible, ethical, and useful for everyone” — particularly in a multilingual, diverse nation like India.

     Creating a Cloud Infrastructure Backbone

    A significant portion of the $15 billion will be used to enhance Google Cloud’s role in India. This involves creating new data centers in states like Tamil Nadu, Maharashtra, and Telangana, which will serve businesses, government services, and application developers that need high-speed, low-latency cloud computing.

    By building out its data infrastructure, Google wants to bring cloud storage, machine learning capabilities, and AI services within the reach of Indian businesses — particularly small and medium-sized businesses that are quickly digitizing.

    Empowering Indian Innovation and Jobs

    Aside from technology, the investment will also generate tens of thousands of direct and indirect employment opportunities. Google has further committed to invest in AI skilling initiatives to equip more than one million individuals with training in cloud computing, data science, and generative AI.

    This is expected to drive India’s startup ecosystem faster, which has already welcomed thousands of AI-based startups in industries such as fintech, healthtech, and edtech. By connecting with Google’s AI and cloud infrastructures, these businesses will have improved innovation tools and international access.

    Why India — and Why Now?

    India has emerged as one of Google’s most exciting markets — a base of more than 750 million web users and growing number of digital-first companies. What’s more, with the world competition for AI supremacy intensifying, India’s pool of young tech talent, policy changes, and relatively lower operating expenses make it an appealing location for AI R&D and infrastructure.

    Sundar Pichai, Google CEO, has time and again stressed that “India’s digital transformation story is one of the most important in the world.” This $15 billion program reiterates Google’s faith that India would lead the charge towards shaping the next decade of artificial intelligence.

     Broader Implications

    This investment also makes a strong statement around the world. While the U.S., China, and Europe battle for who will lead in AI, Google’s deepening foothold in India shows that the nation is rising as a neutral, open-to-innovation hub in the world’s tech world.

    It also reflects a change: the big technology firms no longer are merely selling items in India — they are creating the future out of India.

    In short:

    Indeed, Google’s $15 billion play in India is more than a financial gambit — it’s a declaration of intent to establish India as a pillar of the world AI and cloud revolution. It’s about empowering innovation, developing talent, and getting a nation of 1.4 billion ready for the next generation of smart technology.

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daniyasiddiquiImage-Explained
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 Image-Explained
    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.
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Answer
daniyasiddiquiImage-Explained
Asked: 15/10/2025In: Education, Technology

How to design assessments in the age of AI?

design assessments in the age of AI

academic integrityai in educationassessment designauthentic assessmentedtechfuture of assessment
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 15/10/2025 at 1:33 pm

    How to Design Tests in the Age of AI In this era of learning, everything has changed — not only the manner in which students learn but also the manner in which they prove that they have learned. Students today employ tools such as ChatGPT, Grammarly, or math solution AI tools as an integral part ofRead more

    How to Design Tests in the Age of AI

    In this era of learning, everything has changed — not only the manner in which students learn but also the manner in which they prove that they have learned. Students today employ tools such as ChatGPT, Grammarly, or math solution AI tools as an integral part of their daily chores. While technology enables learning, it also renders the conventional models of assessment through memorization, essays, or homework monotonous.

    So the challenge that educators today are facing is:

    How do we create fair, substantial, and authentic tests in a world where AI can spew up “perfect” answers in seconds?

    The solution isn’t to prohibit AI — it’s to redefine the assessment process itself. Let’s start on how.

    1. Redefining What We’re Assessing

    For generations, education has questioned students about what they know — formulas, facts, definitions. But machines can memorize anything at the blink of an eye, so tests based on memorization are becoming increasingly irrelevant.

    In the AI era, we must test what AI does not do well:

    • Critical thinking — Do students understand AI-presents information?
    • Creativity — Can they leverage AI as a tool to make new things?
    • Ethical thinking — Do they know when and how to apply AI in an ethical manner?
    • Problem setting — Can they establish a problem first before looking for a solution?

    Attempt replacing the following questions: Rather than asking “Explain causes of World War I,” ask “If AI composed an essay on WWI causes, how would you analyze its argument or position?”

    This shifts the attention away from memorization.

     2. Creating “AI-Resilient” Tests

    An AI-resilient assessment is one where even if a student uses AI, the tool can’t fully answer the question — because the task requires human judgment, personal context, or live reasoning.

    Here are a few effective formats:

    • Oral and interactive assessments:Ask students to explain their thought process verbally. You’ll see instantly if they understand the concept or just relied on AI.
    •  Process-based assessment:Rather than grading the final product alone, grade the process — brainstorm, drafts, feedback, revisions.

    Have students record how they utilized AI tools ethically (e.g., “I used AI to grammar-check but wrote the analysis myself”).

    •  Scenario or situational activities:Provide real-world dilemmas that need interpretation, empathy, and ethical thinking — areas where AI is not yet there.

    Choose students for the competition based on how many tasks they have been able to accomplish.

    Example: “You are an instructor in a heterogeneously structured class. How do you use AI in helping learners of various backgrounds without infusing bias?”

    Thinking activities:

    Instruct students to compare or criticize AI responses with their own ideas. This compels students to think about thinking — an important metacognition activity.

     3. Designing Tests “AI-Inclusive” Not “AI-Proof”

    it’s a futile exercise trying to make everything “AI-proof.” Students will always find new methods of using the tools. What needs to happen instead is that tests need to accept AI as part of the process.

    • Teach AI literacy: Demonstrate how to use AI to research, summarize, or brainstorm — responsibly.
    • Request disclosure: Have students report when and how they utilized AI. It encourages honesty and introspection.

    Mark not only the result, but their thought process as well: Have students discuss why they accepted or rejected AI suggestions.

    Example prompt:

    • “Use AI to create three possible solutions to this problem. Then critique them and let me know which one you would use and why.”

    This makes AI a study buddy, and not a cheat code.

     4. Immersing Technology with Human Touch

    Teachers should not be driven away from students by AI — but drawn closer by making assessment more human-friendly and participatory.

    Ideas:

    • Blend virtual portfolios (AI-written writing, programmed coding, or designed design) with face-to-face discussion of the student’s process.
    • Tap into peer review sessions — students critique each other’s work, with human judgment set against AI-produced output.
    • Mix live, interactive quizzes — in which the questions change depending on what students answer, so the tests are lifelike and surprising.

    Human element: A student may use AI to redo his report, but a live presentation tells him how deep he really is.

     5. Justice and Integrity

    Academic integrity in the age of AI is novel. Cheating isn’t plagiarizing anymore but using crutches too much without comprehending them.

    Teachers can promote equity by:

    • Having clear AI policies: Establishing what is acceptable (e.g., grammar assistance) and not acceptable (e.g., writing entire essays).

    Employing AI-detecting software responsibly — not to sanction, but to encourage an open discussion.

    • Requesting reflection statements: “Tell us how you employed AI on the completion of this assignment.”

    It builds trust, not fear, and shows teachers care more about effort and integrity than being great.

     6. Remixing Feedback in the AI Era

    • AI can speed up grading, but feedback must be human. Students learn optimally when feedback is personal, empathetic, and constructive.
    • Teachers can use AI to produce first-draft feedback reports, then revise with empathy and personal insight.
    • Have students use AI to edit their work — but ask them to explain what they learned from the process.
    • Focus on growth feedback — learning skills, not grades.

     Example: Instead of a “AI plagiarism detected” alert, give a “Let’s discuss how you can responsibly use AI to enhance your writing instead of replacing it.” message.

     7. From Testing to Learning

    The most powerful change can be this one:

    • Testing no longer has to be a judgment — it can be an odyssey.

    AI eliminates the myth that tests are the sole measure of demonstrating what is learned. Tests, instead, become an act of self-discovery and learning skills.

    Teachers can:

    • Substitute high-stakes testing with continuous formative assessment.
    • Incentivize creativity, critical thinking, and ethical use of AI.
    • Students, rather than dreading AI, learn from it.

    Final Thought

    • The era of AI is not the end of actual learning — it’s the start of a new era of testing.
    • A time when students won’t be tested on what they’ve memorized, but how they think, question, and create.
    • An era where teachers are mentors and artists, leading students through a virtual world with sense and sensibility.
    • When exams encourage curiosity rather than relevance, thinking rather than repetition, judgment rather than imitation — then AI is not the enemy but the ally.

    Not to be smarter than AI. To make students smarter, more moral, and more human in a world of AI.

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Answer
daniyasiddiquiImage-Explained
Asked: 15/10/2025In: Education, Technology

What are the privacy, bias, and transparency risks of using AI in student assessment and feedback?

the privacy, bias, and transparency r ...

ai transparencyalgorithmic biaseducational technology risksfairness in assessmentstudent data privacy
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 15/10/2025 at 12:59 pm

    1. Privacy Threats — "Who Owns the Student's Data?" AI tools tap into enormous reservoirs of student information — what they score on tests, their written assignments, their web searches, and even how rapidly they respond to a question. This teaches AI about students, but risks making possible to miRead more

    1. Privacy Threats — “Who Owns the Student’s Data?”

    AI tools tap into enormous reservoirs of student information — what they score on tests, their written assignments, their web searches, and even how rapidly they respond to a question. This teaches AI about students, but risks making possible to misuse information and monitoring.

     The problems:

    • Gathering data without specific consent: Few students (and parents, too) are aware of what data EdTech technology collects and for how long.
    • Surveillance and profiling: AI may create long-term “learning profiles” tracking students and labeling them as “slow,” “average,” or “gifted.” Such traits unfairly affect teachers’ or institutions’ decisions.
    • Third-party exploitation: EdTech companies could sell anonymized (or not anonymized) data for marketing, research, or gain, with inadequate safeguards.

     The human toll:

    Imagine a timid student who is slower to complete assignments. If an AI grading algorithm interprets that uncertainty as “low engagement,” it might mislabel their promise — a temporary struggle redefined as a lasting online epidemic.

     The remedy:

    • Control and transparency are essential.
    • Schools must inform parents and students what they are collecting and why.
    • Information must be encrypted, anonymized, and never applied except to enhance education.

    Users need to be able to opt out or delete their data, as adults in other online spaces.

    2. Threats of Bias — “When Algorithms Reflect Inequality”

    AI technology is biased. It is taught on data, and data is a reflection of society, with all its inequalities. At school, that can mean unequal tests that put some groups of children at a disadvantage.

     The problems

    • Cultural and linguistic bias: Essay-grading AI may penalize students who use non-native English or ethnically diverse sentences, confusing them with grammatical mistakes.
    • Socioeconomic bias: Students from poorer backgrounds can be lower graded by algorithms merely because they reflect “lower-performing” populations of the past in the training set.
    • Historical bias in training data: AI trained on old standardized tests or teacher ratings that were historically biased will be able to enact it.

     The human cost

    Consider a student from a rural school who uses regional slang or nonstandard grammar. A biased assumption AI system can flag their work as poor or ambiguous, and choke creativity and self-expression. The foundation of this can undermine confidence and reify stereotypes in the long term.

    The solution:

    • AI systems used in schools need to be audited for bias before deployment.
    • Multi-disciplinary teachers, linguists, and cultural experts must be involved in the process.

    Feedback mechanisms should provide human validation — giving teachers the ultimate decision, not the algorithm.

    3. Risks of Openness — “The Black Box Problem”

    Almost all AI systems operate like a black box — they decide, but even developers cannot always understand how and why. This opacity raises gigantic ethical and learning issues.

     The issues:

    • Transparent grading: If a student is assigned a low grade by an AI essay grader, can anyone precisely inform what was wrong or why?
    • Limited accountability: When an AI makes a mistake — misreading tone, ignoring context, or being biased — who’s responsible: the teacher, school, or tech company?
    • Lack of explainability: When AI models won’t explain themselves, students don’t trust the criticism. It’s a directive to follow, not a teachable moment.

     The human cost

    Picture being told, “The AI considers your essay incoherent,” with no explanation or detail. The student is still frustrated and perplexed, not educated. Education relies on dialogue, not solo edicts.

    The solution:

    • Schools can utilize AI software providing explicable outputs — e.g., marking up what in a piece of work has affected the grade.
    • Teachers must contextualize AI commentary, summarizing its peaks and troughs.

    Policymakers may require “AI transparency standards” in schools so that automated processes can be made accountable.

    4. The Trust Factor — “Students Must Feel Seen, Not Scanned”

    • Learning is, by definition, a trust- and empathy-based relationship. Those students who are constantly put in a situation where they feel monitored, judged, or surveilled by machines will likely be hesitant to learn.
    • Feedback from machines or robots that is impersonal can render students invisible — reducing their individual voices to data points. It is especially dangerous with topics like literature, art, or philosophy, where subtlety and creativity are most important.

    Human instructors have gigantic empathy — they know when to guide, when to incite, and when to simply listen. AI cannot replace that emotional quotient.

    5. Finding the Balance — “AI as a Tool, Not a Judge”

    AI in education is not a bad thing. Used properly, it can add equity and efficiency. It can catch up on learning gaps early, prevent grading bias from overworked teachers, and provide consistent feedback.

    But only if that is done safely:

    • Teachers must stay in the loop — pre-approving AI feedback before the students’ eyes lay eyes on it.
    • AI must assist and not control. It must aid teachers, not replace them.
    • Policies must guarantee privacy and equity, setting rigorous ethical boundaries for EdTech companies.

     Final Thought

    AI can analyze data, but it cannot feel the human emotion of learning — fear of failure, thrill of discovery, pride of achievement. When AI software is introduced into classrooms without guardrails, it will make students data subjects, not learners.

    The answer, therefore, isn’t to stop AI — it’s to make it human.

    To design systems that respect student dignity, celebrate diversity, and work alongside teachers, not instead of them.

    •  AI can flag data — but teachers must flag humanity.
    • Technology can only then truly serve education, not the other way around.
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