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Essential UX Practices for Ed-tech

The slingshot effect of COVID-19 on distance learning contributed to the ed-tech boom in 2020–2022. Keeping an optimal user experience became crucial for ed-tech rivals to obtain a maximum user base and supply high-quality learning solutions to learners. This was due to the huge volume of tech goods on websites and apps aiming to impart education. Due to the remarkable changes in career opportunities and the need for upskilling for them, the trend of remote education is still popular and in great demand. This trend is especially evident in upskilling and test preparation. And there is increased demand to maintain a good user experience with ed-tech products. Here are some essential UX practices for Ed-tech:

  1. Accessibility:
    It is crucial to make sure that all users, including those with disabilities, can access ed-tech platforms. This includes tools like text-to-speech choices, closed captioning, and screen readers. Additionally, a user-friendly interface should be included in the platform’s architecture. This makes it simple for users to explore and locate the data they require. One example below about accessibility:
Legends (for those without complete color blindness)
Legends Appearance (for those without color blindness) 
Legends (for those with complete color blindness)
Legends (for those with complete color blindness)

The above picture is an interface design for the nationally adopted format of the online examination. It has been designed to make the system accessible for people with color blindness (1 of every 12 people in the world is color blind). With the help of the legends, the students navigate questions with color and shape recognition. Observe the shape and color used for ‘answered’ and ‘not answered’ which are in green and red, respectively. If the shape had not been different, it would have been difficult for a student with color blindness to recognize which question is answered, which one is not, and which question is marked for review. Different shapes break the consistency in design elements as per some UI design rules, but this is necessary due to accessibility.

Legends with different shapes and colors
Legends with uniform shapes and different colors (visibility without and with colorblindness, respectively)
Legends with different shapes and colors
Legends with different shapes and different colors (visibility without and with colorblindness, respectively)
  1. Personalization:
    Our learning at school was organic and nurturing due to the personal connection each student had with the teachers. When we talk about education, there should be a personal connection between the students and the system to boost students’ learning. Platforms for ed-tech should be created to meet the behavior and demands of every student. This entails tailoring feedback, designing a learning path specifically for each student, and personalizing the educational experience. This strategy boosts student enthusiasm and engagement, which will result in better learning outcomes.
  1. Gamification:
    Gamification has been one of the most important and essential UX practices in ed-tech and education. By adding game-like components like incentives, points, and badges, gamification techniques can be utilized to improve the learning experience. Learning can become more enjoyable and interesting as a result, especially for younger children.
  1. Collaboration and feedback:
    Edtech platforms should make it easier for students and teachers to collaborate, as it is a crucial component of the learning process. Features like collaborative projects, discussion boards, and video conferencing fall under this category.
    Giving feedback on time is essential for the learning process. Platforms for education technology should provide feedback on students’ progress along with suggestions for what might be done better. Students who are driven and interested in their studies may benefit from this. While building an ed-tech platform, it’s crucial to build features for smooth collaboration among learners, educators, and administration. 
  1. Mobile optimization:
    Ed-tech platforms should be mobile-optimized given the rising use of mobile devices. This entails creating an interface that is appropriate for mobile use, providing mobile-specific functionality, and making sure the platform is usable on a range of devices.
    Note: Soon an upcoming blog will have a detailed view of “mobile optimization” in ed-tech. Keep reading Mantra Labs’ blog post.
  1. Data analytics:
    Data analytics systems for ed-tech platforms should be able to monitor student progress, pinpoint areas for development, and give teachers feedback. This can assist teachers in modifying their instruction to better meet the needs of each student.
  1. Continuous improvement:
    Last but not least, ed-tech platforms must be created with ongoing improvement in mind. This includes ongoing upgrades and enhancements based on user input and the most recent developments in ed-tech. Platforms should be built with scalability in mind so that they may change and evolve as requirements do. The Design Thinking process will help in creating such a system that will help students, teachers, and the company from all angles in this situation by making, remaking, and continuously refining the system.

Key takeaways:

  1. Prioritize accessibility and personalization to create a user-friendly learning experience for all students.
  2. Personalization in design creates strong and nurturing connections between the system and students.
  3. Incorporate gamification to increase student engagement and motivation.
  4. Provide collaboration and feedback features to improve engagement in the learning process.
  5. Optimize ed-tech platforms for mobile use to cater to the growing use of mobile devices.
  6. Utilize data analytics to track student progress and identify areas for improvement.
  7. Continuously improve ed-tech platforms based on user feedback and the latest industry trends.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UX Research and Product Design.

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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