The digital disruption era is forcing schools, universities, and media organizations to rethink how learning actually works, and the hardest lesson is that technology is never just a tool. In the Kompas.id report on the UIN Antasari Banjarmasin webinar, the central warning was clear: the flood of instant, shallow, and often misleading information makes students vulnerable to plagiarism, weak reading habits, and poor judgment. The answer, speakers argued, is not to retreat from technology but to develop stronger
digital literacy, better habits of information consumption, and a more deliberate sense of what technology should and should not do in education.
Overview
Digital disruption has been reshaping education for years, but the Kompas.id article shows why the issue feels sharper now. Students are no longer just competing with traditional distractions; they are competing with an entire information environment optimized for speed, shareability, and emotional reaction. In that environment, the slow work of reading deeply, checking sources, and building original arguments becomes harder to defend unless institutions actively teach those habits.
What makes the discussion timely is that artificial intelligence has moved from theoretical concern to everyday classroom reality. The article notes that Kompas itself uses AI for practical tasks such as translation, while still insisting that human judgment remains central to editorial work. That distinction matters because it mirrors the broader education challenge: AI can support learning, but if it replaces thinking, it weakens the very skills schools are meant to build.
The webinar also reflects a wider post-pandemic shift in public trust. The article suggests that confidence in mainstream media has been rising again because people are increasingly aware of the difference between quick viral content and information produced through editorial processes. That is not simply a media story; it is an education story too, because students who learn to value careful sourcing are better prepared to navigate both academic work and civic life.
At its core, this is a story about attention, judgment, and discipline. The challenge is not only that technology is more powerful than before, but that it is also more seductive. The danger is that students can become efficient consumers of information without becoming capable evaluators of it.
The New Learning Environment
The article’s biggest insight is that education now takes place inside a
constantly moving information ecosystem. Students are not just asked to study facts; they must filter an endless stream of content that ranges from credible reporting to misinformation, from useful summaries to outright hoaxes. In that sense, learning challenges today are less about access and more about judgment.
Mujiburrahman’s warning about the “information tsunami” is especially important because it identifies a behavioral shift, not just a technological one. When people get used to short, shallow, and fast content, they may lose patience for long-form analysis, scholarly work, and deep reading. That creates a cultural environment where academic rigor feels slow even when it is actually necessary.
Why speed changes habits
Speed is not inherently bad, but it changes expectations. If students become accustomed to instant answers, they may begin to view careful reading as optional rather than essential. Over time, that habit can weaken research quality, analytical writing, and even basic comprehension.
The article’s emphasis on news being prioritized for virality rather than usefulness captures the deeper problem. Modern platforms reward what is clickable, not what is accurate or educational. That means schools must teach students to resist the instinct to equate popularity with value.
- Instant content encourages shallow engagement.
- Viral content can crowd out useful content.
- Readers may confuse attention with credibility.
- Students need practice with slower, deeper texts.
- Digital literacy must include judgment, not just device skills.
This is where the article becomes more than a warning about social media. It is a reminder that education is now competing with an attention economy. If students are not taught how to read against the grain of that economy, then even highly connected learners can end up intellectually underprepared.
Plagiarism in the Age of Convenience
Plagiarism has always been a concern in education, but digital disruption has made it easier to commit and harder to detect. The article places plagiarism at the center of learning challenges because copying is no longer confined to cutting and pasting from a single source. Students can now borrow, rephrase, automate, and outsource in ways that blur the line between assistance and authorship.
That is why the discussion is not simply about punishment. It is about whether students understand what original thinking looks like in the first place. If the learning environment normalizes shortcut culture, then plagiarism becomes less a moral exception and more a structural temptation.
Why plagiarism gets easier online
Digital tools reduce friction, and reducing friction can be both useful and dangerous. Copying text, paraphrasing content, and assembling sources now take seconds rather than hours. That convenience can tempt students to treat original work as a technicality rather than a discipline.
The article also hints at a broader ethical issue: when students see information mainly as material to be reused, they may stop seeing it as something to understand. That shift is subtle but serious. A learner who can assemble a passable answer without understanding the underlying idea has not truly learned.
- Plagiarism is easier when content is abundant.
- Paraphrasing tools can obscure authorship.
- Students may mistake convenience for competence.
- Institutions need clearer academic integrity norms.
- Learning design should reward process, not only output.
The article’s message is not that technology causes dishonesty by itself. Rather, technology lowers the cost of dishonesty and raises the importance of ethical training. That means schools must respond with stronger pedagogy, clearer expectations, and more assignments that require explanation, reflection, and personal judgment.
Digital Literacy as a Survival Skill
One of the article’s strongest themes is that
digital literacy is no longer optional. It is the foundation that helps students tell the difference between useful information and harmful noise. Without that skill, the internet becomes a swamp of repetition, manipulation, and distraction.
The speaker’s point that technology is a
double-edged sword is especially apt. Tools that help one student research faster can also help another student copy more efficiently. Tools that widen access to knowledge can also amplify misinformation and dependence if users do not know how to evaluate what they encounter.
What digital literacy really means
Digital literacy is often mistaken for the ability to use apps or navigate platforms, but the article points toward something deeper. It includes the habit of questioning sources, noticing bias, resisting viral manipulation, and understanding that not every online claim deserves equal trust. In other words, literacy is about interpretation, not just operation.
That matters in education because students increasingly learn from mixed environments: textbooks, search engines, social media, video clips, AI tools, and messaging apps. If they cannot compare those sources critically, they may end up with a fragmented understanding of any subject they study. The result is a learner who is connected but not well informed.
- Digital literacy means evaluating sources.
- It means recognizing manipulation and bias.
- It means understanding the limits of AI-generated content.
- It means slowing down when content feels too neat.
- It means using technology with purpose, not reflex.
The deeper point is that schools must treat digital literacy as a core competency, not an enrichment topic. In the era of disruption, it functions much like reading, writing, and numeracy once did: as a basic capacity required for participation in modern life.
AI, Translation, and the Human Factor
The article’s discussion of Kompas using AI to translate news into English is revealing because it shows a practical, bounded use of technology. AI can accelerate workflow, but it does not replace editorial responsibility. That is a useful model for education too: automation can help with tasks, but it should not replace learning, reasoning, or oversight.
Haryo Damardono’s point that English-literature students are still needed even if AI can translate is especially important. It pushes back against the simplistic idea that any task automated by software becomes irrelevant. In reality, the need shifts rather than disappears. Human expertise remains valuable because language is not only about conversion; it is about interpretation, tone, context, and purpose.
Why AI helps but does not absolve responsibility
The article makes clear that Kompas still uses conscience in news production. That phrase matters because it captures what AI cannot provide: editorial judgment. Machines can draft, translate, and summarize, but they cannot fully determine what matters to a community or what ethical balance a story requires.
This has an obvious classroom parallel. Students may use AI for brainstorming or translation, but they still need to own the argument, verify the facts, and defend the result. A polished output is not the same thing as understanding. That is why AI must be taught as a support system, not a substitute for learning.
- AI can save time on routine tasks.
- Human review is still essential.
- Translation is not the same as meaning.
- Editorial judgment cannot be automated fully.
- Education should teach students to verify AI output.
The article’s emphasis on conscience is worth keeping in mind. In a digital environment where speed is prized, conscience is what protects quality. That applies to journalism, and it applies just as strongly to education.
Media Trust and the Return to Quality
Another important theme is the changing relationship between audiences and mainstream media. The article notes that after the pandemic, public trust in mainstream media has slowly risen again because people increasingly recognize the value of careful reporting. That is a significant shift, because it suggests that information overload may eventually push people back toward quality institutions.
This matters for students because media habits shape learning habits. A person who expects every answer to be quick, emotional, and frictionless may struggle with academic research, where claims must be supported and conclusions often need patience. The return to trust in mainstream media can therefore be read as a small but meaningful correction to the virality-first culture.
Why process builds trust
The article identifies the long editorial process as one reason mainstream media retains credibility. Writers, sources, editors, and readers all contribute to the final product. That kind of layered process is slower than social media, but it also creates accountability.
For education, the lesson is obvious: students should be trained to respect process even when it feels inefficient. Research, drafting, revision, and source checking may appear cumbersome, but they are what separate serious work from superficial output. When teachers emphasize process, they teach students to value reliability over speed.
- Quality takes time.
- Trust grows through verification.
- Editorial systems reduce error.
- Academic work needs similar discipline.
- Slow work often produces stronger thinking.
That does not mean mainstream media or schools are immune to error. It means their comparative advantage lies in structure, review, and accountability. In an era of disruption, those qualities become more valuable, not less.
Education Strategy in the Disruption Era
The webinar described in the article suggests that schools should respond to disruption not by pretending it will go away, but by building stronger habits around it. That means teaching students how to select information, how to question claims, and how to use technology without surrendering intellectual ownership.
This is a broader institutional challenge than it first appears. If schools only react to cheating, they will always be one step behind the tools students use. But if they redesign learning to value analysis, citation, and reflection, they can make shortcut behavior less rewarding in the first place.
What schools should emphasize
The article implies a simple but powerful shift: from information delivery to information judgment. That means more attention to media literacy, source comparison, and the ethics of reuse. It also means educators must explicitly teach students why depth matters, not assume they will absorb that lesson on their own.
A strong digital-era learning strategy should also recognize that students are not blank slates. They live inside the same attention economy as everyone else, which means the classroom has to compete with a culture that rewards instant gratification. Teachers who understand that reality can design better, more resilient learning experiences.
- Teach source evaluation as a core skill.
- Require explanations, not just answers.
- Use AI transparently and with limits.
- Reward deep reading and original synthesis.
- Build assignments that resist simple copying.
That strategy does not reject technology. It places technology under human judgment, which is exactly where it belongs in an education system that wants to produce capable graduates rather than merely efficient content consumers.
What the Webinar Says About the Broader Future
The article is ultimately less about one webinar than about the direction education is headed. Disruption will continue, AI will keep evolving, and information will likely become even more abundant. The question is whether learners will become better judges of information or just faster consumers of it.
That distinction matters for both universities and the labor market. Employers do not only need people who can produce output quickly; they need workers who can verify, interpret, and adapt. Likewise, educators do not only need students who can submit assignments; they need students who can think independently.
The long-term stakes
If digital literacy remains weak, then schools risk producing graduates who are fluent in tools but fragile in judgment. If it improves, however, technology can become a genuine amplifier of learning rather than a shortcut machine. That is why the article’s cautionary tone is so important: it is trying to preserve the human part of education while still embracing technological change.
This is also where plagiarism, misinformation, and AI all converge into one problem. They are not separate issues at all; they are symptoms of the same weakness, which is a lack of disciplined thinking. The institutions that solve that weakness will be the ones best prepared for the next phase of disruption.
- The future will reward judgment more than speed.
- Schools must teach students to verify information.
- AI will need clear academic boundaries.
- Deep reading will become a competitive advantage.
- Digital literacy will define educational resilience.
The article’s strongest message is that adaptation does not mean surrender. It means learning how to use technology responsibly, while preserving the habits that make learning meaningful in the first place. That is not an easy balance, but in the digital disruption era, it is the only one that lasts.
Source: Kompas.id
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