DEV Community: Edly

Evaluating an Enterprise LMS as a Systems Architecture Decision

Edly — Fri, 04 Sep 2026 13:10:33 +0000

An LMS is often evaluated as a content application.

In an enterprise environment, that can be the wrong abstraction.

A learning management system may sit between:

an HRIS
identity management
content-authoring tools
business intelligence systems
collaboration tools
CRM platforms
compliance processes
employee organizational data

At that point, LMS selection starts looking less like choosing a course platform and more like making an architectural decision.

Here are some of the technical questions worth asking.

1. What is the system of record for learner identity?

If HR is the source of truth, what happens when:

a user is created?
a department changes?
a manager changes?
a position changes?
employment is terminated?

Does the LMS simply receive the data?

Or can those events trigger changes to learning assignments, permissions and reporting?

2. Is the integration actually event-driven?

“HRIS integration” can mean very different things.

It could be:

a nightly CSV import,

a scheduled connector,

an API integration,

webhooks,

middleware,

or a custom synchronization service.

Those implementations produce very different operational outcomes.

If a role change should automatically trigger new training, synchronization architecture matters.

3. How portable is the learning content?

SCORM is still relevant in many enterprise training environments because organizations frequently have an existing library of externally authored courses.

Before migration, identify:

which SCORM versions are in use
which completion states you depend on
what historical data must migrate
whether third-party content behaves consistently in the target LMS

“SCORM supported” is not specific enough.

4. How is authorization modeled?

In a complex organization, access is rarely binary.

You may have:

employees,

line managers,

regional managers,

L&D administrators,

business-unit administrators,

contractors,

partners,

customers.

Then add subsidiaries and separate brands.

Evaluate whether the LMS authorization model can represent your actual organization without creating an unmaintainable permissions structure.

5. Does the data model support organizational change?

This is where systems often become painful.

The organization changes.

The technology remains configured around yesterday’s structure.

Ask how organizational hierarchies, positions, audiences and user attributes are represented and updated.

You’re not only evaluating configuration flexibility.

You’re evaluating the long-term cost of organizational change.

6. Can you get the learning data back out?

Dashboards are useful.

Data access is more important.

Ask about:

APIs,

webhooks,

scheduled exports,

reporting permissions,

BI integration,

audit history,

completion records,

certification data.

The LMS should not become another isolated data silo.

7. Does administrative complexity scale linearly?

A platform may support 50,000 learners technically while requiring a disproportionate amount of administrative work.

That is a scalability problem too.

The question is not only:

How many users can the application support?

It is:

How much human administration is required per additional 1,000 users, business units or learning rules?

That is a more useful enterprise metric.

Choosing the platform

I recently worked through these questions while comparing 12 LMS platforms used for employee training.

The interesting part was not discovering which products had APIs, reporting or automation.

Most did.

The useful differences appeared when we examined how those capabilities map to actual organizational scenarios.

If you’re researching the space, the full comparison covers the 12 systems, integration considerations, SCORM support, organizational fit and the business scenarios worth testing during a vendor demo.

Further reading: Best LMS for Employee Training — 12 Corporate Training Platforms Compared (2026).

AI disclosure: This article was prepared with AI assistance and should be reviewed and fact-checked by the author before publication.

What Is Totara LMS? A Quick Look at the Enterprise Learning Platform

Edly — Fri, 04 Sep 2026 12:23:35 +0000

Most LMS platforms can deliver courses and track completions.

But what happens when an organization needs to manage complex compliance requirements, recurring certifications, multiple learner audiences, custom workflows, integrations, and performance development—all at scale?

That’s where Totara takes a different approach.

Built around Totara Learn, Totara Perform, and mobile learning capabilities, the platform is designed for organizations that need significantly more control over how learning fits into their wider business ecosystem.

Some of its most interesting capabilities include:

Dynamic audiences and automated learning assignments
Certification and recertification workflows
Multi-tenant learning environments
Advanced reporting and compliance visibility
APIs, webhooks, and enterprise integrations
Skills and performance management
An open-source core with enterprise extensions
Emerging AI-powered learning capabilities

But that flexibility also raises an important question:

When does an organization actually need a platform like Totara instead of a simpler LMS?

We break down how Totara works, its architecture, major features, limitations, integrations, and where it fits in the enterprise learning landscape.

Read the complete Totara LMS guide on Edly

Choosing an EdTech Platform Is an Architecture Decision, Not a Feature Checklist

Edly — Sat, 22 Aug 2026 20:50:03 +0000

A lot of LMS evaluations begin with a spreadsheet.

Rows contain features:

SSO ✓

REST API ✓

SCORM ✓

Mobile ✓

Analytics ✓

Certificates ✓

Integrations ✓

Then someone totals the checks and declares a winner.

From an engineering perspective, that can be a dangerous way to choose a learning platform.

Because the difficult parts often begin after you've confirmed the feature exists.

An integration checkbox tells you almost nothing

Suppose an LMS says it supports integration with your existing stack.

Great.

Now ask:

How is authentication handled?
Who owns the integration?
Is there a documented API?
What happens when the upstream API changes?
Can the integration support the organization's actual data model?
Is synchronization real-time, scheduled, event-driven, or manual?
How are failed syncs detected?
Who monitors them?
Can you extract the data later?

Suddenly “supports integrations” has become an architecture discussion.

The same problem appears across an EdTech implementation.

Migration is a data problem, not a button

A legacy LMS can contain years of state:

users, enrolments, courses, groups, permissions, completion history, certificates, assessments, submissions, grades, discussion activity, and reporting data.

Moving “users and courses” is relatively simple.

Preserving enough history for the new platform to become a trustworthy system of record is not.

Before choosing a provider, I'd want to know precisely which objects can migrate, how they map to the new schema, what must be transformed, what can't be preserved, how validation works, and what the rollback plan looks like.

That makes the provider's engineering capability almost as important as the destination LMS.

Hosting ownership is another hidden boundary

Open-source platforms make this especially interesting.

Choosing something like Moodle, Open edX, or Totara isn't simply choosing an application.

Someone still owns:

infrastructure provisioning, deployments, observability, backups, recovery, upgrades, security patches, dependency management, scaling, performance, incident response, and ongoing customization.

You can own those responsibilities internally.
You can split them among vendors.
Or you can choose a provider that manages more of the stack.

Those are very different operating models—even when learners ultimately see an LMS in a browser.

SaaS, open source, and custom aren't interchangeable

This is another reason feature-by-feature comparisons can be misleading.

A mature SaaS LMS may give a team fast deployment and predictable product functionality.

An open-source platform may provide deeper control and extensibility.
A custom-built learning product may provide exactly the workflows your business needs.
A content platform may solve the problem without requiring your team to create hundreds of courses.
An end-to-end provider may combine platform implementation with migration, integration, infrastructure, course production, and ongoing development.

The architecture decision is therefore partly about where you want the abstraction boundary to sit.

Do you want to consume a finished product?
Configure a platform?
Extend an open-source system?
Own the entire application?
Or outsource much of the learning-technology lifecycle to one partner? The question I'd ask before looking at vendors

Instead of starting with:

Which LMS has the most functionality?

Start with:

Which parts of this learning ecosystem do we want to own?
Then define the boundaries.
What stays inside your engineering team?
What belongs to IT?
What belongs to L&D?
What belongs to the vendor?
Who owns integrations?
Who owns infrastructure?
Who owns course production?
Who owns customization?
Who responds when the platform fails during a high-traffic enrollment period? Those answers can radically change your shortlist.

We compared 13 different provider models

I recently reviewed a comparison of 13 education technology providers, including SaaS LMS platforms, open-source ecosystems, implementation specialists, workforce-learning platforms, content providers, custom developers, and an end-to-end EdTech provider.

The interesting part wasn't determining which company has the longest feature list.

It was seeing how different the ownership models are.

Two products can appear to solve the same problem from the learner's perspective while creating completely different responsibilities for the engineering and operations teams behind them.

The complete comparison looks at companies including Edly, Moodle, Canvas, Blackboard, D2L Brightspace, Docebo, Cornerstone, Catalyst IT, Kineo, Learning Pool, Udemy Business, iSpring, and Inoxoft and maps the situations in which each model makes sense.

If you're making an LMS architecture, migration, or platform decision, read the full comparison before building the vendor shortlist.
→ Read the complete 2026 EdTech provider analysis on Edly.

2026 EdTech Trends Developers Should Actually Care About

Edly — Sat, 22 Aug 2026 20:44:54 +0000

EdTech discussions often become a list of tools.

AI tutors. Automated grading. AR. VR. Learning analytics. Digital credentials. Recommendation engines.

For developers and technical leaders, the more useful question is:

How do these systems fit into a maintainable learning architecture?

The major education technology trends of 2026 are not happening independently. They depend on platforms being able to exchange data, support extensions, preserve accessibility, protect learner information, and keep humans in control of consequential decisions.

Here are five technical themes worth watching.

1. AI features are becoming workflow components

The first generation of education-focused AI products often looked like a chatbot added to the side of a course.

The next generation will be more deeply connected to learning workflows.

An AI system might:

Recommend an activity based on learner performance
Generate preliminary assignment feedback
Help a student build a study schedule
Identify repeated misconceptions
Direct a learner to academic support
Adapt an explanation to a different reading level

That means developers need to think beyond the model interface.

They need to consider:

Identity and permissions
Context passed to the model
Data retention
Human approval
Audit trails
Error handling
Escalation paths
Learner consent

An agent that recommends a revision resource is relatively low risk. An agent that changes enrollment or academic progression is not.

2. Assessment architecture is changing

Generative AI makes it harder to treat the final submitted artifact as the only evidence of learning.

Future assessment systems will increasingly need to support process evidence, including:

Draft histories
Oral components
Reflection activities
Live demonstrations
Project milestones
Peer collaboration
AI-use disclosure
Human appeals

Automated grading can still be useful, particularly for objective questions, coding exercises, basic language feedback, and low-stakes practice.

But high-stakes evaluation requires human review and explainable processes.

The design pattern is assisted assessment, not autonomous judgment.

3. Interoperability is becoming non-negotiable

Educational institutions rarely operate one system.

A typical environment may include:

An LMS
A Student Information System
A CRM
A credential platform
Video tools
Virtual labs
Assessment applications
Analytics systems
Identity providers
AI services

Without interoperability, staff end up copying data manually and learners move between disconnected interfaces.

Open standards and integration mechanisms such as LTI can reduce this fragmentation.

From an architecture perspective, modular systems are also easier to evolve. Institutions can add or replace a specialized tool without rebuilding the entire learning environment.

4. Accessibility cannot remain a final QA step

Accessibility-first design is becoming a core platform requirement.

Courses and applications should account for:

Keyboard navigation
Captions and transcripts
Screen-reader compatibility
Alternative text
Adjustable displays
Speech-to-text
Text-to-speech
Multiple content formats

AI may help generate captions, translations, summaries, and descriptions, but automated output still requires review.

Accessibility needs to be part of content production, component design, testing, and procurement—not a patch applied before release.

5. Open edX can act as the integration layer

Open edX is relevant to these trends because it can serve as an extensible learning foundation rather than a closed, single-purpose product.

Teams can use:

LTI integrations for external AI tools, simulations, labs, and assessments
XBlocks for custom learning components
Learning analytics for engagement and performance insights
Automated assessments for scalable feedback workflows
Certificates and credentials for professional and skills-based programs
Accessible authoring features for multimodal course experiences

The advantage is not that one platform provides every possible EdTech capability.

The advantage is having a stable learning environment that can incorporate new capabilities without forcing learners into a collection of unrelated tools.

Final thought

The most important EdTech architecture decision in 2026 may be choosing where automation stops.

Developers will increasingly be responsible not only for whether a system works, but also for whether its decisions are reviewable, reversible, secure, accessible, and educationally appropriate.

We covered 15 education technology trends in the full Edly article, including AI copilots, agentic support, authentic assessment, microcredentials, cybersecurity, immersive learning, sustainability, and the Open edX features that can support them.

Read the complete guide: Here

Choosing an Open edX Provider Is an Architecture Decision.

Edly — Tue, 28 Jul 2026 08:41:11 +0000

When teams evaluate Open edX vendors, the conversation often begins with hosting costs, launch timelines, themes, and feature lists.

Those things matter, but they do not reveal whether the implementation will remain maintainable after the first major upgrade.

An Open edX service provider is making architectural decisions on your behalf. Those decisions affect deployments, integrations, customizations, monitoring, upgrades, and long-term technical debt.

Before choosing a provider, evaluate the technical operating model behind the proposal.

1. What is the deployment strategy?

Ask how the provider deploys and manages Open edX.

You should understand:

How environments are created and reproduced
How configuration is managed
How plugins are installed
How releases move between development and production
How backups and recovery are handled
Who owns access to the infrastructure

A platform that only one vendor understands can quickly become a platform you cannot safely change.

2. What happens during an Open edX upgrade?

Open edX is not static. Your deployment will eventually need security updates, named-release upgrades, plugin updates, and compatibility testing.

Ask the provider to explain its upgrade process before the contract is signed.

A strong answer should address:

Staging and testing
Plugin compatibility
Custom-code review
Database migrations
Rollback planning
Production monitoring

“Upgrades are available for an additional fee” is not an upgrade strategy.

3. How are customizations implemented?

Many organizations require SSO, payment systems, CRMs, HR platforms, Student Information Systems, analytics tools, LTI integrations, XBlocks, or custom learner workflows.

The objective should be flexibility without making the core platform impossible to upgrade.

Ask which requirements can be handled through configuration or plugins and which require modifications to the core platform. Core changes may solve an immediate problem while creating significant maintenance work later.

4. What support exists after deployment?

A successful launch is the beginning of the platform lifecycle.

Clarify:

Support hours
Response times
Escalation procedures
Monitoring responsibilities
Access to senior engineers
Ownership of critical incidents

Do not assume that implementation support automatically includes operational support.

Why we recommend Edly

Edly is a strong option for organizations that need both Open edX implementation expertise and long-term technical guidance.

The company has worked with Open edX since 2013 and provides installation, customization, XBlock development, analytics, multisite functionality, LTI and third-party integrations, mobile development, and ongoing support.

Its position in the Tutor ecosystem is especially relevant to technical teams. Tutor is the official Docker-based Open edX distribution, while Tutor Deck provides a browser-based interface for discovering, installing, and configuring Tutor plugins.

For teams concerned about reproducible deployments, plugin management, future upgrades, and maintainability, that infrastructure-level experience provides an important advantage.

Final recommendation

Do not evaluate an Open edX provider as though you are purchasing a one-time website build.

Evaluate the provider as the team that may be responsible for your learning infrastructure for the next several years.

We have also reviewed other established providers and their respective strengths in our full Open edX service-provider guide:

**Read the complete comparison [here].

Why Online Learners Drop Out?

Edly — Tue, 15 Jul 2025 12:28:26 +0000

Online learning has come a long way. It’s more flexible, more accessible, and often more affordable than traditional classrooms. But despite all the potential, there’s one problem that continues to haunt online educators and course creators: dropout rates.

We’re not talking about a minor dip in engagement we’re talking about serious numbers. Studies show that between 40% to 80% of students drop out of online courses, and in the case of MOOCs (Massive Open Online Courses), that number skyrockets to over 90%. That means out of every 10 learners who start a course, only one might make it to the end.

Why is this happening? The reasons are often layered and personal, but there are clear patterns that show up again and again. Some learners struggle to adjust to the online environment itself it’s a big shift from the structure of a physical classroom. Others find that the course content doesn’t match what they were expecting. Some run into frustrating technical issues that disrupt their flow and cause them to give up altogether. And many simply lose motivation midway through, especially when there’s no instructor interaction, no peer support, and no real sense of connection.

There’s also the issue of flexibility. While being able to learn anytime sounds like a huge benefit, it often comes without the structure and accountability that many students need. Without set deadlines or check-ins, it becomes far too easy to fall behind. And once a learner falls behind, the chances of catching up start to shrink quickly.

Of course, there are life events illnesses, job changes, family responsibilities that can pull learners away from their studies. But in many cases, dropout is preventable. The key lies in spotting the early signs before a student completely disengages.

Think about this: how often do you notice when a student stops logging in? Most platforms track activity, but unless you’re actively monitoring it, that red flag might get missed. A sudden drop in login frequency especially from someone who was previously consistent is one of the first signs that something’s not right. It could mean the student is struggling, overwhelmed, or has simply lost motivation.

Another major clue is incomplete assignments or low participation. Maybe a student starts skipping quizzes or doesn’t submit weekly tasks. Maybe they stop responding in forums or disappear from group chats. These subtle signs often point to a deeper issue, whether it’s confusion, a lack of clarity, or personal challenges that are taking priority over learning.

Video behavior can tell you a lot, too. If you see learners starting videos but not finishing them or skipping them entirely that’s another sign of disengagement. Sometimes it’s because the videos are too long or too dense. Sometimes the content isn’t connecting with them. Either way, it’s a clear indicator that something needs to change.

And let’s not forget academic performance. When quiz scores drop consistently or a previously active learner suddenly starts underperforming, it’s time to intervene. They might not ask for help directly, but that decline in performance is their way of showing they’re struggling.

The good news is, these problems are not impossible to solve. In fact, many of them can be addressed with simple, intentional strategies.

For example, a well-timed nudge whether through email, SMS, or an in-app message can do wonders. Something as simple as “Hey Alex, you’ve already completed 70% of the course. You’re so close just three more lessons to go!” can reignite that spark and make a learner feel seen and supported.

Another effective approach is rethinking how your content is delivered. If long videos are causing students to drop off, try breaking them into smaller, bite-sized chunks. A 6-minute lesson followed by a short quiz is far more manageable and far more engaging than a 45-minute video that demands full attention.

Clarity is also essential. Sometimes students disengage not because they’re lazy or unmotivated, but because they genuinely don’t understand what’s being asked of them. Clear instructions, visual guides, and even short walkthrough videos can make a big difference in helping learners stay on track.

It’s also worth exploring ways to build more human interaction into your courses. Whether that’s through discussion forums, virtual office hours, or even anonymous feedback forms, students need spaces where they feel safe to ask questions, share frustrations, and stay connected.

And finally, once you’ve identified which students are at risk, don’t wait. Be proactive. Reach out before they fall too far behind. A quick message, a check-in call, or a supportive email can make a struggling student feel like someone cares and that can be enough to bring them back.

At Edly, we know how critical it is to catch these early signals. That’s why our LMS includes powerful analytics under the Edly Insights tab. You can easily track login activity, assignment submissions, video progress, and quiz scores; giving you a clear picture of who’s thriving and who might need extra support.

Because in the end, reducing dropout rates isn’t just about better tools it’s about being more responsive, more attentive, and more human in how we support learners.

Read the full blog to dig deeper into the early signs and proven strategies to reduce online dropout rates?

The Psychology of Learning Online: What Every Course Creator Should Know

Edly — Thu, 19 Jun 2025 15:38:14 +0000

In today’s world, where learners are juggling distractions, deadlines, and digital fatigue, course creators face a new challenge: how do you keep online learners engaged, motivated, and actually learning?

The truth is, online learning isn’t just a digital version of the classroom it’s an entirely different experience. Learners are on their own, surrounded by distractions, and often driven by internal motivation rather than external accountability. That means if your course doesn’t take into account how people learn online, it’s likely to be abandoned no matter how good your content is.

In our latest blog, we explore the psychological principles behind how people absorb information online and what you, as a course creator, can do to design experiences that stick.

Here’s a sneak peek at what you’ll discover:
How to reduce mental overload by structuring lessons into short, digestible chunks

Ways to boost learner motivation using goal-setting, rewards, and early wins

Tips to hold attention in a world full of distractions (hint: short formats, stories, and frequent interactivity help!)

Memory-enhancing techniques like spaced learning and self-explanation

Strategies for building emotional safety and helping learners feel confident and supported

The importance of social learning, even in solo environments — and how to foster peer interaction

How to personalize the learning journey, allowing learners to move at their own pace and style

Why results matter more than course completion — and how to measure real success

Whether you’re creating a course for professionals, students, or lifelong learners, understanding the psychology of online learning can dramatically improve outcomes for your learners and your business.

This article is packed with actionable advice, real-world examples, and design tips you can apply right away. Ready to level up your course design with proven psychological strategies?

Read the full article: The Psychology of Learning Online: What Every Course Creator Should Know(https://tinyurl.com/ua2vntd)

10 Tips for Creating Assessments That Actually Measure Learning

Edly — Tue, 17 Jun 2025 09:57:22 +0000

Creating assessments isn’t just about testing what students remember. It’s about helping them grow, think deeper, and apply what they’ve learned in real life. In this blog, we’ll share 5 powerful tips that can completely change the way you assess learning — and if you want the rest, we’ve got that too.

Let’s get started:

Start with Clear, Measurable Learning Objectives
Before you write a single question, think about what the learner should be able to do by the end of the lesson or course. Clear objectives serve as the foundation for both teaching and assessment. If your goal is unclear, your test might not reflect what was taught or could miss key skills. The best objectives are action-oriented, specific, and measurable. Instead of saying “Understand ecosystems,” a better objective would be “Compare different types of ecosystems and describe how they support life.” Once you have these clear goals, your assessments will naturally align with what learners need to achieve.
Choose the Right Assessment Type for the Learning Goal
Not all assessments are created equal. The type you use should reflect the kind of learning you’re trying to measure. If you’re checking progress during a course, you might use quick quizzes or discussions — these are formative assessments. To evaluate learning at the end of a unit, summative tools like exams or final projects work well. If you want to see how learners perform in real situations, ask them to complete tasks like presentations or problem-solving — this is performance-based assessment. Self and peer assessments are also valuable when learners evaluate their own or others’ work. Choosing the right type of assessment ensures you’re capturing learning in the most effective way.
Use Bloom’s Taxonomy to Go Beyond Memorization
Bloom’s Taxonomy is a framework that helps you design assessments to test different levels of thinking. It starts with simple recall and builds up to complex tasks like evaluating or creating. The six levels include remembering, understanding, applying, analyzing, evaluating, and creating. For example, a basic question might ask students to list facts, while a deeper one might require them to compare ideas or design a solution. Good assessments should include a variety of these levels to get a full picture of what students know and how they think. This way, you’re not just checking memory — you’re measuring real learning.
Write Clear, Simple Questions
Even if your content is solid, poorly written questions can confuse learners and affect their performance. That’s why clarity is key. Use short, straightforward sentences and avoid technical terms that haven’t been explained. Stay away from trick questions and vague answer options like “All of the above” or “None of the above,” which often create more confusion than insight. If there’s any terminology that might be unfamiliar, define it clearly in the question. When your questions are easy to read and understand, learners can focus on showing what they know rather than decoding confusing language.
Make It Relevant to Real Life
Assessments become more meaningful when learners can connect them to real-world situations. If a student can see how a task applies outside the classroom, they’re more likely to engage and do well. You can do this by using practical scenarios, solving everyday problems, or linking questions to real careers or current events. For instance, instead of asking learners to list the features of persuasive writing, have them write a letter convincing the school to offer healthier lunch options. This approach not only tests understanding but also builds practical skills that students can use in real life.

Read the full article to Master All 10 Tips for More Engaging Assessments!

How to Use Feedback Surveys to Improve Your Online Course

Edly — Tue, 17 Jun 2025 09:52:13 +0000

If you’re running an online course, your top priority is helping students succeed. But how do you know what’s really working — and what isn’t? One of the most effective (and often underused) tools is the feedback survey.

When used correctly, surveys can give you real, actionable insights directly from your learners. Whether you’re teaching a few students or managing a large cohort, collecting feedback can help you:

Catch issues early before students drop off
Identify confusing or overwhelming content
Understand whether your course is helping students meet their goals
Make targeted improvements that enhance learning
Turn satisfied learners into promoters through testimonials
And the best part? You don’t need expensive tools or a complex setup. Platforms like Google Forms, Typeform, and SurveyMonkey make it easy to ask the right questions at the right time.

From quick in-lesson polls to end-of-course evaluations, feedback can shine a light on exactly where your course needs improvement. But it only works if you take action whether that means fixing broken videos, simplifying complex lessons, or adding more real-world examples.

To sum up:

Ask for feedback at multiple stages not just at the end
Keep surveys short, focused, and easy to complete
Use accessible tools to create and share your surveys
Review responses for common patterns or problem areas
Act on the feedback to improve your course experience
Use positive responses as testimonials to build credibility
Test changes with small groups before rolling them out fully
Keep the conversation open. The more you listen and improve, the more valuable your course becomes for your students and your business.

Read the full article to create feedback surveys that actually lead to better learning outcomes.

A Deep Dive into Social Emotional Learning (SEL)

Edly — Fri, 04 Apr 2025 11:29:40 +0000

Social emotional learning (SEL) is one of the trendiest topics in education circles today. The focus of SEL is more than just the transfer of knowledge. It is about the holistic development of students and cultivating essential life skills outside of the curriculum and classroom.

But what in the world is social emotional learning or SEL? Let's delve deeper into the fundamentals of SEL and explore the benefits it offers to both students and teachers. We'll also briefly discuss how you can incorporate SEL into your classroom. Keep reading!

TL;DR

Social emotional learning (SEL) is made up of five core competencies: Self-Awareness, Self-Management, Responsibl Decision-Making, Relationship Skills, and Social Awareness.
SEL provides students with a solid foundation for holistic development, fostering well-being, academic excellence, and lifelong success.

SEL programs are equally good for teachers. With SEL skills, teaching becomes easier, they can create a welcoming environment for all students, and better manage their own emotions and stress.
To incorporate SEL into your classroom, you can do various things like starting the day with a student check-in, encouraging role-playing, and creating a "calm-down" corner.

What is Social Emotional Learning (SEL)

Social emotional learning (SEL) refers to an educational methodology that aims to build social and emotional skills among students, helping them to:

Understand and manage their emotions
Foster positive relationships
Make responsible decisions
Exhibit empathy for others
Work toward their personal goals

In general, SEL places equal emphasis on social and emotional skills as it does on other subjects like math and science. It equips students of all ages with the abilities that are crucial for success in school, work, and life.
Let's break it down a bit further.

5 Key Components of Social Emotional Learning

The Collaborative for Academic, Social, and Emotional Learning (CASEL) is a leader in the field of social emotional learning (SEL). CASEL has outlined 5 core competencies that constitute SEL:
i) Self-Awareness
ii) Self-Management
iii) Responsible Decision-Making
iv) Relationship Skills
v) Social Awareness

Let's examine each SEL component in more detail.
i) Self-Awareness
Self-awareness is the first pillar of social emotional learning (SEL). It is about helping students identify their emotions, recognize strengths and needs, and develop a growth mindset.

ii) Self-Management
We as humans are born weak. We all experience emotional stress from time to time. So, self-management is about developing such abilities in students that they can regulate their emotions, impulses, and behaviors.

iii) Social Awareness
This is another core component of SEL. It involves being aware of other people's perspectives, acting with empathy, and respecting diversity.

iv) Relationship Skills
Relationship skills include effective communication, cooperation, conflict resolution, and empathy. These skills enable students to develop healthy relationships with people from various backgrounds.

v) Responsible Decision-Making
It includes making caring and ethical choices while being considerate about your own and other people's well-being. When taught these skills, students feel more confident in evaluating their options and making decisions that are consistent with their values and goals.

Why Students Need Social Emotional Learning (SEL)

SEL or social-emotional learning provides students with a solid foundation to succeed in school, life, and careers. Here are the top 4 reasons why SEL is essential for students:

1) Holistic Development
If you prioritize SEL in your school or classroom setting, this ensures your students are participating in lessons and games that help build self-reflection and consideration of others.
The students learn about themselves, appreciate diversity, and become more responsible through projects, discussions, and role-playing activities that foster an inclusive, positive environment for everyone in school.
That's the beauty of social-emotional learning (SEL) programs. These programs provide a holistic approach to teaching and grooming students.

Read the complete article on why students need social-emotional learning and its impact on educators.

Artificial Intelligence in Education: Striking a Balance between Innovation & Privacy

Edly — Fri, 28 Feb 2025 11:00:22 +0000

The world is changing rapidly due to artificial intelligence (AI). Its adoption is skyrocketing in almost every single field. One area where AI is set to make a huge impact, and already has in some cases, is education.

AI in education promises better learning experiences, personalized instruction, and quicker ways to handle administrative tasks. But all the amazing possibilities that AI brings come with a trade-off, as the vast majority of data required for AI to function raises serious privacy concerns.

In this blog, we'll look at the role of artificial intelligence in education and how to find the balance between its innovative promise and the need to protect user data.
Ready? Buckle up!

TL;DR

AI has a lot to offer in education, from personalized instruction to gamified learning, administrative task management, and more.
The AI systems used in education are heavily reliant on data. This raises questions about how data is stored, who may access it, and the potential ways it may be used or abused in the future.
The risk of data breaches, exploitation, and constant surveillance are some of prime examples of privacy concerns associated with AI usage in education.
By focusing on transparency, data encryption, user control, and regular audits, educational institutions can strike the balance between AI and privacy.

What is Artificial Intelligence in Education

Artificial intelligence in education (AIED) refers to the integration of AI technologies in the educational landscape to support educators, improve learning experiences, and streamline administrative work.

AI technologies, such as NLP, machine learning, robotics, and data analytics, enable personalized learning by adjusting content and pacing to meet the unique needs of each student.
Additionally, the use of AI in education automates a number of repetitive administrative tasks. This allows educators to focus more on teaching and student engagement.

Summary: Artificial intelligence in education (AIED) leverages machine learning, NLP, data analytics, and robotics to support teaching and learning.

Benefits of Artificial Intelligence in Education

Using AI in education brings many new opportunities, like learning that fits each student, fun and exciting experiences, better student involvement, and automating tasks to make things easier.

i) AI Personalizes Education
AI provides a great way to tailor learning experiences. It can review the academic history of a student to deliver a curriculum that matches their unique needs, abilities, and pace.

ii) AI Creates Immersive Experiences
AI-powered technologies such as AR, VR, and MR simulate real-world scenarios and make it easy for students to understand abstract concepts that might otherwise be challenging.

iii) AI Gamifies Learning
Modern students have short attention spans. AI-powered gamified learning platforms keep them engaged and motivated through challenges, rewards, leaderboards, etc. This enhances their focus on learning objectives.

iv) AI Automates Various Tasks
Through automation, AI helps educators offload various time-consuming tasks like posting assignments, evaluating student progress, sending emails, identifying learning patterns, and more.

Summary: AI enhances personalized instruction, creates immersive AR/VR experiences, enables gamified learning, and automates educators' tasks.

AI and the Privacy Dilemma

The use of artificial intelligence in education has significant privacy concerns. The AI systems used in education are heavily reliant on data. This often includes collecting sensitive information about students and educators, including their emotions, behaviors, online activities, attendance records, and even details like biometric data.

Not only is this data vast, but it is also very private. It brings up questions about how it's stored, who may access it, and the potential ways it may be used or abused in the future. Thus, there are genuine risks associated with the use of AI in academic settings that we should not ignore.

a) Data Breaches
Educational institutions collect enormous amounts of private information about students and learners, such as financial data, health records, behavioral patterns, and more. As AI applications demand access to this private data, the risk of data breaches is always there if it's not managed properly.
For instance, Proctoru is an online exam proctoring service. When hackers accessed their platform, it led to a data breach that leaked user records for about 444,000 students.

Read the complete article to explore privacy dilemmas and the perfect way to Strike a Balance Between Innovation and Privacy.

Synchronous vs. Asynchronous Learning: Finding the Best Fit for Every Student

Edly — Mon, 17 Feb 2025 11:12:46 +0000

You're a college student juggling assignments, a part-time job, and personal responsibilities. Your friend is in the same course but has a completely different schedule. You watch recorded lectures late at night while they attend live sessions where they can ask questions in real time. This is where synchronous and asynchronous learning comes in - two different yet complementary ways of learning. With so many students and working professionals pursuing education online, it's no wonder these models are changing the way we learn. But which one suits diverse student needs better? Let's break it down with relatable examples, real-life scenarios, and the latest trends.

Two Models

Before we get into which model works better, let's first understand the main difference between the two:

Synchronous Learning: This is like attending a live class but online. Everyone joins at the same time for live sessions like video calls, webinars, or chats. It's like a traditional classroom, just in a digital format.

Asynchronous Learning: Now imagine you have all your course materials available anytime. You can watch recorded lectures, participate in forums, and complete assignments when you want. There's no live interaction so you have full control over your schedule.
Both have their strengths, flexibility, and structure to suit different learning styles and life situations.

Why Does This Matter in Real Life?

These two models aren't just academic concepts - they directly impact how people balance education with their busy lives. Here are a couple of examples:
For the Busy Multi-Tasker
Zoi is a working professional pursuing her master's degree while taking care of her toddler. She has no fixed schedule so attending live classes is impossible. Asynchronous learning is perfect for her. She downloads lectures, studies during nap time, and reviews tough topics multiple times at her own pace.
For the Social Learner
Phineas loves learning with others. He gets energized when brainstorming with classmates or getting quick feedback from teachers. Synchronous learning is for him. He attends live sessions, joins discussions, and sticks to a schedule that helps him stay on track.
These examples show why this matters - education now fits individual needs, not the other way around.

Synchronous Learning: The Energy of Real-Time Interaction

Synchronous learning brings the lively feel of a classroom to online spaces. Picture joining a live video session where your teacher explains a tough topic, and you can ask questions right away. Here's why it's easy and so effective:

Active Engagement
Live interaction lets you get immediate answers and clarification. Whether it's a coding session or a discussion, you're part of the action. Take it as an example: In a live coding class, the teacher can fix a student's code on the spot, helping everyone understand the solution step-by-step.

Routine Brings Focus
A set schedule gives structure to your studies, helping you stay consistent and avoid procrastination.
For instance, weekly live sessions followed by assignments ensure steady progress, so there's no last-minute cramming.

Feeling Connected
Online learning can feel lonely, but synchronous classes create a sense of community. You can join group discussions, breakout sessions, and live Q&As to feel like part of a team.
As an example: During a virtual workshop, students work on a marketing project together, share ideas, and even build lasting professional connections.

Challenges of Synchronous Learning:
Time Conflicts: Fixed schedules can be hard for students juggling work, family, or living in different time zones.
Tech Issues: A reliable internet connection and good devices are essential, which isn't always available to everyone.

Asynchronous Learning: Study Anytime, Anywhere

Asynchronous learning gives complete freedom to learn whenever it fits into your life. You control your pace and schedule. Here's why it stands out:

Ultimate Flexibility
You can study whenever it's most convenient, whether early in the morning or late at night.
Example: A single parent working towards a nursing degree can complete assignments after her kids are asleep without worrying about missing live classes.

Learn at Your Speed
You can pause, rewind, or replay lectures to fully understand a topic without feeling rushed.
Example: A data science student struggling with a concept replays the same lecture multiple times until everything clicks.

Accessible Worldwide
This approach removes time zone issues and rigid schedules, making it ideal for students anywhere.
Example: An entrepreneur in Brazil can enroll in a U.S.-based course and study without worrying about inconvenient class timings.

Challenges of Asynchronous Learning:
Delayed Responses: If you have questions, it might take hours or even days to get an answer from your instructor.
Risk of Procrastination: Without a set routine, it can be harder to stay motivated and consistent.

Explore the complete blog to find out How to Pick the Best Model for You!