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6 advantages of using online assessment in education

6 advantages of using online assessment in education

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Arpit Mishra
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November 29, 2017
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3 min read
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A vestige of a by-gone colonial era, our modern-day education system, with its outdated teaching methodology and questionable assessment modules, is in dire need of an overhaul.

Although it permeates our everyday lives, technology in education is yet to impact our systems in an effective and meaningful manner.

If one were to compare today’s classrooms to those 20 or 30 years back, there wouldn’t be any substantial difference in the way subjects were taught or the assessment methodologies adopted to gauge its effectiveness.

The latter in particular has been completely unaffected by technology, and we are going to explore the reasons behind this.

Why the unwillingness to adopt online assessment in education?

A majority of professors use technology in education primarily to better plan their lessons and make more engaging presentations.

When it comes to tests or assessments, however, they opt for the same antiquated pen-and-paper routine.

While it is understandable that you shun technology to assess a literature paper, it is difficult to understand why technology is not judiciously used to assess students of engineering or similar technical streams.

Let’s look at some of the reasons and possible solutions to address them.

  1. Lack of training

    According to a 2006 study by Hew and Brush, one of the primary obstacles to adopting technology in education was inadequate knowledge and skills.

    A prerequisite for using traditional software tools was a fair amount of technical know-how and skill.

    Those unfortunate ones who weren’t in possession of such skills had to be trained to use these tools, which was a time consuming and expensive affair and might explain the reluctance that most educational institutions have towards adopting such technology extensively.

    However, the newer breed of technology tools, with their intuitive designs and interface, and faster onboarding experience makes it effortless to adapt and adopt.

  2. Pressure to confirm

    The brave souls who do try to do things differently are almost always frowned upon by traditionalists, who are reluctant to change their ways.

    There are two possible outcomes to being subjected to this sort of pressure — they either keep fighting the good fight till others see merit in their newer ways, or they succumb to the pressure and give up.

    However, a technology that is effortless to operate can help in turning even the hardest cynics into supporters of technical assessments

  3. Changes needed at a policy level

    In any classroom, there are typically two forms of assessments conducted — formative, conducted over the course of teaching to monitor student learning, and summative that are the standard tests or exams conducted at the end of a term or semester to evaluate student learning by comparing it against a benchmark.

    While colleges or schools can take liberties by conducting formative assessments to gauge how well a student understands a concept, it cannot substitute a tech assessment with a summative one that is conducted in accordance with the board of education, unless thus approved by the board.

    Changes at a policy level to technically transform traditional assessment, however, can ensure that our students are assessed effectively and comprehensively.

  4. Test-centric mindset needs to change

    At a very fundamental level, we define academic achievement by how well someone does on a standardized test.

    Our education system is also designed to help achieve better test results rather than helping students understand a concept clearly.

    Introducing a tech assessment model requires a shift in mindset where we assess the student to better understand his weak areas and strengths and then use those parameters to design teaching to be most effective.

    Most technical assessment tools come built-in with data-driven analytics that allows its users to comprehensively analyze the progress made by each student.

    Such comprehensive and relevant reports can go a long way in convincing our educators to change their approach towards assessments in general.

Benefits of online assessment tools in education

Creating assessments for the entire class, not once or twice a year but repeatedly year after year is a tedious routine that our teachers/professors undertake.

However, their work doesn’t end there.

After creating these assessments in a variety of forms, the next task is grading them and providing appropriate feedback for the entire class and that too, in a timely manner.

It is in this context that digital tools come in handy.

technology in education, Advantages of using online assessment for students, online assessment, online assessment for students
Assessment and feedback lifecycle as described by Ros Smith and Lisa Gray

Authors Ros Smith and Lisa Gray’s 2016 guide on enhancing assessment through technology explains the lifecycle of assessment and feedback.

According to them, most educators use technology mostly during the ‘Supporting’ stage of the lifecycle, whereas, technology can add considerable value at the ‘Submitting’, ‘Marking and production of feedback’ stages as well.

For instance, during the submitting stage, not only can the software give reminders of upcoming submission date, but students can also conveniently submit their assignment online without having to physically hand-in their assignments.

During the marking and feedback stages, educators are presented with the advantage of not having to carry around the bulky bundles of assessments, and instead access it online anywhere.

Tech assessments also ensure consistency in marking, along with the option to provide written, audio or video feedback comments.

Let’s explore a few other advantages of using online assessment tools.

  1. Built-in flexibility to assess an array of skills and competence

    The design flexibility that most tech assessments come with, presents educators with the opportunity to assess a wide range of skills and competency in their students that are far and beyond what any standardized test can offer.

    Apart from testing students on a range of skills, this type of online assessment tool closely simulates real-world scenarios.

  2. Transparency in marking

    Tech assessments typically come programmed with the option to specify marking criteria, based on which tests are typically graded.

    These criteria are transparent to all and make for an unbiased and impartial grading system.

  3. Delivery schedule can be timed

    Online assessments tools can be customized to deliver assessments as per a specific schedule (bimonthly or weekly, for instance) with minimal input from teachers, thus offloading a lot of their workload.

    Apart from a delivery schedule, these assessments can be customized to automatically mark or grade the submissions, further reducing the workload for the teachers and making the grading system more efficient.

  4. Enables deeper learning

    Thanks to the efficiency of such assessments coupled with its precise feedback, students, and teachers can target both strengths and weakness and promote deeper learning of concepts.

    This form of learning builds genuine interest to pursue a subject which also reflects in improved results in subsequent assessments.

  5. Customizationfor students with disabilities or learning difficulties

    Technology can make it simpler for students with disabilities or learning difficulties to perform better during assessments by customizing it as per their needs or requirements.

    For instance, one can opt to take the assessment in an audio/visual format, or customize the presentation of the assessment by tweaking the font, text size, etc as per individual need, thus ensuring a level playing field for all those involved.

  6. Other benefits of online assessment tools

    Apart from the above-mentioned benefits, tech assisted assessments also gives students the opportunity to access it from anywhere or anytime.

    Ease of customization also ensures that based on statistics of performance, each course module can be tweaked as required.

    The timely manner in which results are published also enables teachers to review their lessons and courses much more effectively.

Using the right online assessment in education for the right purpose at the right time

While the merits far outweigh any drawbacks that this form of online assessment has, the main concern many expresses is regarding the technical support required in an event of a software issue cropping up.

This would delay a scheduled assessment from taking place and throw a spanner into a process that has been set in motion.

There is also some concern about how technology can bring about a more pronounced student-teacher gap because of the high levels of automation possible in these tools.

But what we all need to realize is that technology is a double-edged sword, there are bound to be several concerns over such a large-scale implementation, but if used judiciously and with discretion, it has the power to unlock a gold mine of opportunities.

While top companies like Amazon, Walmart, Accenture, and other fortunes 500 companies are building campus recruitment strategies.

It is essential for school and universities to train their students for the assessment of futures.

Learn how HackerEarth had helped Universities develop their learning and development program with online Assessment

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Arpit Mishra
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November 29, 2017
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How I used VibeCode Arena platform to build code using AI and leant how to improve it

I Used AI to Build a "Simple Image Carousel" at VibeCodeArena. It Found 15+ Issues and Taught Me How to Fix Them.

My Learning Journey

I wanted to understand what separates working code from good code. So I used VibeCodeArena.ai to pick a problem statement where different LLMs produce code for the same prompt. Upon landing on the main page of VibeCodeArena, I could see different challenges. Since I was interested in an Image carousal application, I picked the challenge with the prompt "Make a simple image carousel that lets users click 'next' and 'previous' buttons to cycle through images."

Within seconds, I had code from multiple LLMs, including DeepSeek, Mistral, GPT, and Llama. Each code sample also had an objective evaluation score. I was pleasantly surprised to see so many solutions for the same problem. I picked gpt-oss-20b model from OpenAI. For this experiment, I wanted to focus on learning how to code better so either one of the LLMs could have worked. But VibeCodeArena can also be used to evaluate different LLMs to help make a decision about which model to use for what problem statement.

The model had produced a clean HTML, CSS, and JavaScript. The code looked professional. I could see the preview of the code by clicking on the render icon. It worked perfectly in my browser. The carousel was smooth, and the images loaded beautifully.

But was it actually good code?

I had no idea. That's when I decided to look at the evaluation metrics

What I Thought Was "Good Code"

A working image carousel with:

  • Clean, semantic HTML
  • Smooth CSS transitions
  • Keyboard navigation support
  • ARIA labels for accessibility
  • Error handling for failed images

It looked like something a senior developer would write. But I had questions:

Was it secure? Was it optimized? Would it scale? Were there better ways to structure it?

Without objective evaluation, I had no answers. So, I proceeded to look at the detailed evaluation metrics for this code

What VibeCodeArena's Evaluation Showed

The platform's objective evaluation revealed issues I never would have spotted:

Security Vulnerabilities (The Scary Ones)

No Content Security Policy (CSP): My carousel was wide open to XSS attacks. Anyone could inject malicious scripts through the image URLs or manipulate the DOM. VibeCodeArena flagged this immediately and recommended implementing CSP headers.

Missing Input Validation: The platform pointed out that while the code handles image errors, it doesn't validate or sanitize the image sources. A malicious actor could potentially exploit this.

Hardcoded Configuration: Image URLs and settings were hardcoded directly in the code. The platform recommended using environment variables instead - a best practice I completely overlooked.

SQL Injection Vulnerability Patterns: Even though this carousel doesn't use a database, the platform flagged coding patterns that could lead to SQL injection in similar contexts. This kind of forward-thinking analysis helps prevent copy-paste security disasters.

Performance Problems (The Silent Killers)

DOM Structure Depth (15 levels): VibeCodeArena measured my DOM at 15 levels deep. I had no idea. This creates unnecessary rendering overhead that would get worse as the carousel scales.

Expensive DOM Queries: The JavaScript was repeatedly querying the DOM without caching results. Under load, this would create performance bottlenecks I'd never notice in local testing.

Missing Performance Optimizations: The platform provided a checklist of optimizations I didn't even know existed:

  • No DNS-prefetch hints for external image domains
  • Missing width/height attributes causing layout shift
  • No preload directives for critical resources
  • Missing CSS containment properties
  • No will-change property for animated elements

Each of these seems minor, but together they compound into a poor user experience.

Code Quality Issues (The Technical Debt)

High Nesting Depth (4 levels): My JavaScript had logic nested 4 levels deep. VibeCodeArena flagged this as a maintainability concern and suggested flattening the logic.

Overly Specific CSS Selectors (depth: 9): My CSS had selectors 9 levels deep, making it brittle and hard to refactor. I thought I was being thorough; I was actually creating maintenance nightmares.

Code Duplication (7.9%): The platform detected nearly 8% code duplication across files. That's technical debt accumulating from day one.

Moderate Maintainability Index (67.5): While not terrible, the platform showed there's significant room for improvement in code maintainability.

Missing Best Practices (The Professional Touches)

The platform also flagged missing elements that separate hobby projects from professional code:

  • No 'use strict' directive in JavaScript
  • Missing package.json for dependency management
  • No test files
  • Missing README documentation
  • No .gitignore or version control setup
  • Could use functional array methods for cleaner code
  • Missing CSS animations for enhanced UX

The "Aha" Moment

Here's what hit me: I had no framework for evaluating code quality beyond "does it work?"

The carousel functioned. It was accessible. It had error handling. But I couldn't tell you if it was secure, optimized, or maintainable.

VibeCodeArena gave me that framework. It didn't just point out problems, it taught me what production-ready code looks like.

My New Workflow: The Learning Loop

This is when I discovered the real power of the platform. Here's my process now:

Step 1: Generate Code Using VibeCodeArena

I start with a prompt and let the AI generate the initial solution. This gives me a working baseline.

Step 2: Analyze Across Several Metrics

I can get comprehensive analysis across:

  • Security vulnerabilities
  • Performance/Efficiency issues
  • Performance optimization opportunities
  • Code Quality improvements

This is where I learn. Each issue includes explanation of why it matters and how to fix it.

Step 3: Click "Challenge" and Improve

Here's the game-changer: I click the "Challenge" button and start fixing the issues based on the suggestions. This turns passive reading into active learning.

Do I implement CSP headers correctly? Does flattening the nested logic actually improve readability? What happens when I add dns-prefetch hints?

I can even use AI to help improve my code. For this action, I can use from a list of several available models that don't need to be the same one that generated the code. This helps me to explore which models are good at what kind of tasks.

For my experiment, I decided to work on two suggestions provided by VibeCodeArena by preloading critical CSS/JS resources with <link rel="preload"> for faster rendering in index.html and by adding explicit width and height attributes to images to prevent layout shift in index.html. The code editor gave me change summary before I submitted by code for evaluation.

Step 4: Submit for Evaluation

After making improvements, I submit my code for evaluation. Now I see:

  • What actually improved (and by how much)
  • What new issues I might have introduced
  • Where I still have room to grow

Step 5: Hey, I Can Beat AI

My changes helped improve the performance metric of this simple code from 82% to 83% - Yay! But this was just one small change. I now believe that by acting upon multiple suggestions, I can easily improve the quality of the code that I write versus just relying on prompts.

Each improvement can move me up the leaderboard. I'm not just learning in isolation—I'm seeing how my solutions compare to other developers and AI models.

So, this is the loop: Generate → Analyze → Challenge → Improve → Measure → Repeat.

Every iteration makes me better at both evaluating AI code and writing better prompts.

What This Means for Learning to Code with AI

This experience taught me three critical lessons:

1. Working ≠ Good Code

AI models are incredible at generating code that functions. But "it works" tells you nothing about security, performance, or maintainability.

The gap between "functional" and "production-ready" is where real learning happens. VibeCodeArena makes that gap visible and teachable.

2. Improvement Requires Measurement

I used to iterate on code blindly: "This seems better... I think?"

Now I know exactly what improved. When I flatten nested logic, I see the maintainability index go up. When I add CSP headers, I see security scores improve. When I optimize selectors, I see performance gains.

Measurement transforms vague improvement into concrete progress.

3. Competition Accelerates Learning

The leaderboard changed everything for me. I'm not just trying to write "good enough" code—I'm trying to climb past other developers and even beat the AI models.

This competitive element keeps me pushing to learn one more optimization, fix one more issue, implement one more best practice.

How the Platform Helps Me Become A Better Programmer

VibeCodeArena isn't just an evaluation tool—it's a structured learning environment. Here's what makes it effective:

Immediate Feedback: I see issues the moment I submit code, not weeks later in code review.

Contextual Education: Each issue comes with explanation and guidance. I learn why something matters, not just that it's wrong.

Iterative Improvement: The "Challenge" button transforms evaluation into action. I learn by doing, not just reading.

Measurable Progress: I can track my improvement over time—both in code quality scores and leaderboard position.

Comparative Learning: Seeing how my solutions stack up against others shows me what's possible and motivates me to reach higher.

What I've Learned So Far

Through this iterative process, I've gained practical knowledge I never would have developed just reading documentation:

  • How to implement Content Security Policy correctly
  • Why DOM depth matters for rendering performance
  • What CSS containment does and when to use it
  • How to structure code for better maintainability
  • Which performance optimizations actually make a difference

Each "Challenge" cycle teaches me something new. And because I'm measuring the impact, I know what actually works.

The Bottom Line

AI coding tools are incredible for generating starting points. But they don't produce high quality code and can't teach you what good code looks like or how to improve it.

VibeCodeArena bridges that gap by providing:

✓ Objective analysis that shows you what's actually wrong
✓ Educational feedback that explains why it matters
✓ A "Challenge" system that turns learning into action
✓ Measurable improvement tracking so you know what works
✓ Competitive motivation through leaderboards

My "simple image carousel" taught me an important lesson: The real skill isn't generating code with AI. It's knowing how to evaluate it, improve it, and learn from the process.

The future of AI-assisted development isn't just about prompting better. It's about developing the judgment to make AI-generated code production-ready. That requires structured learning, objective feedback, and iterative improvement. And that's exactly what VibeCodeArena delivers.

Here is a link to the code for the image carousal I used for my learning journey

#AIcoding #WebDevelopment #CodeQuality #VibeCoding #SoftwareEngineering #LearningToCode

The Mobile Dev Hiring Landscape Just Changed

Revolutionizing Mobile Talent Hiring: The HackerEarth Advantage

The demand for mobile applications is exploding, but finding and verifying developers with proven, real-world skills is more difficult than ever. Traditional assessment methods often fall short, failing to replicate the complexities of modern mobile development.

Introducing a New Era in Mobile Assessment

At HackerEarth, we're closing this critical gap with two groundbreaking features, seamlessly integrated into our Full Stack IDE:

Article content

Now, assess mobile developers in their true native environment. Our enhanced Full Stack questions now offer full support for both Java and Kotlin, the core languages powering the Android ecosystem. This allows you to evaluate candidates on authentic, real-world app development skills, moving beyond theoretical knowledge to practical application.

Article content

Say goodbye to setup drama and tool-switching. Candidates can now build, test, and debug Android and React Native applications directly within the browser-based IDE. This seamless, in-browser experience provides a true-to-life evaluation, saving valuable time for both candidates and your hiring team.

Assess the Skills That Truly Matter

With native Android support, your assessments can now delve into a candidate's ability to write clean, efficient, and functional code in the languages professional developers use daily. Kotlin's rapid adoption makes proficiency in it a key indicator of a forward-thinking candidate ready for modern mobile development.

Breakup of Mobile development skills ~95% of mobile app dev happens through Java and Kotlin
This chart illustrates the importance of assessing proficiency in both modern (Kotlin) and established (Java) codebases.

Streamlining Your Assessment Workflow

The integrated mobile emulator fundamentally transforms the assessment process. By eliminating the friction of fragmented toolchains and complex local setups, we enable a faster, more effective evaluation and a superior candidate experience.

Old Fragmented Way vs. The New, Integrated Way
Visualize the stark difference: Our streamlined workflow removes technical hurdles, allowing candidates to focus purely on demonstrating their coding and problem-solving abilities.

Quantifiable Impact on Hiring Success

A seamless and authentic assessment environment isn't just a convenience, it's a powerful catalyst for efficiency and better hiring outcomes. By removing technical barriers, candidates can focus entirely on demonstrating their skills, leading to faster submissions and higher-quality signals for your recruiters and hiring managers.

A Better Experience for Everyone

Our new features are meticulously designed to benefit the entire hiring ecosystem:

For Recruiters & Hiring Managers:

  • Accurately assess real-world development skills.
  • Gain deeper insights into candidate proficiency.
  • Hire with greater confidence and speed.
  • Reduce candidate drop-off from technical friction.

For Candidates:

  • Enjoy a seamless, efficient assessment experience.
  • No need to switch between different tools or manage complex setups.
  • Focus purely on showcasing skills, not environment configurations.
  • Work in a powerful, professional-grade IDE.

Unlock a New Era of Mobile Talent Assessment

Stop guessing and start hiring the best mobile developers with confidence. Explore how HackerEarth can transform your tech recruiting.

Vibe Coding: Shaping the Future of Software

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing c

Vibe Coding Difference

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable or Hostinger Horizons enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

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