Many digital transformations in education get stuck in the same place, not because the software isn't up to scratch, but because the data going into it was a mess to begin with. Before you choose a supplier or launch a pilot, the first step is to take a good, hard look at the records you already hold on students.
Obvious duplicates, partial or missing records of
previous enrollments, and sloppy data entry (it's not always obvious whether
the various 'Stewart, A's: Stewart, Adam; Stuart, A; Stewart Andrew; Stewart,
Andrew, Sir...' are cumulative or refer to four people) aren't miraculously
fixed just by storing everything in the cloud. They stay with you, and they
proliferate.
This is the stage that most schools and colleges underestimate. It's unsexy, but it's the stage that's going to determine whether your new student management system becomes a source of jammed-up yet seemingly authoritative errors, or a very slick filing cabinet. Any record which wouldn't stand up to a basic check in a manual system is going to generate a mistake in an automated one, just more quickly.
Run a Phased Rollout, Not a
Big Bang Launch
When your paper systems for interviewing new staff hire
go down, that's a day you're not proud of, but you can probably live with it.
Rolling out a new LMS only to find it breaks your ability to know who's on
campus next week (or whatever core business-process-adjacent function no one
thought to mention they lose when you shift to a new system) is a long six
months having your priorities dictated by where each political faction sits in
your organization.
Start with one course and no integration, no single
sign-on, no legacy data migration, nothing except the absolute minimum of
moving parts to make the test case viable as close as possible to running a
fake semester. If you can't spend two days rebuilding what you lost from memory
after your last computer crash, you're adding in too many variables.
Automate the Administrative
Tax
Manual administration within education is a hidden
expense that nobody wants to admit. People must still manually verify
enrollments, chase down documents, ensure compliance, and issue certificates,
despite the fact that humans aren't necessary for that aspect of the job and
time could be better spent actually supporting the students.
A well-engineered system is built with these automatics
in mind. Enrollment automatically triggers a verification. Course completion
automatically triggers a certificate. Compliance indicates fills in a report
without needing someone to collate information from a spreadsheet. The role
isn't to eliminate staff but to free them up to focus on what only people can
do.
And that's why the interface between your administrative
system and your assessment platform is key. Platforms like https://cloudassess.com/
are designed to close the gap between an enrollment and a competency-based
evaluation. Get that interface right, so that student data moves through your
system automatically, and you're going to save time between every single stage
from enrollment to graduation. If an SMS and an assessment platform can
interact and share data in real time, the administrative overhead between an
enrollment and a graduation can drop dramatically.
Build for Mobile, Not Desktop
Any online learning system that assumes that students are
seated at a desk with a reliable desktop computer is already outdated. Most
learners (and this is even more true of workforce and vocational learners) will
be taking their courses on a smartphone during a bus ride, shift break, or
evening at home.
Designing for mobile usage first isn't an add-on: It's a
constraint that should drive your choice of platform from day one, both for the
learner interface and the educator or administrator portal. If a teacher can't
grade an exam or check a student's progress on a phone, your platform is only
partially implemented. The design and feature set should include a check for
responsiveness and performance on low-bandwidth connections.
Professional Development Has
to go Beyond Button-Clicking
Consistently, digital transitions fail students and
faculty. Too often, vendors sell solutions to institutions or states through
feature differentiation or price competition. Your actual ability to drive
student outcomes isn't fully measured, so what gets rewarded, the sale, often
doesn't result in educators who know how to drive student outcomes getting the
tools they need to do so.
You see this in the old adage "classrooms use only
10% of the software they purchase". It's shockingly common for schools to
purchase software that does genuinely work for its intended purpose, only for
no sufficient training to be provided on how to realize that purpose.
It's important to note that we are not solely talking
about what gets funded with public dollars. Just as dramatically, pretty much
anyone can build an online learning interface and offer year-long contracts to
schools. You can, and people do, close large deals for deeply suboptimal
solutions to schools, because the people involved in the purchase are
disconnected from the folks who would have to be effective to create a positive
outcome for students.
Where This Lands
Creating a completely digital learning space does
not come from purchasing suitable software. It comes from reorganizing current
features, implementing it in a manner that identifies issues at an early stage,
mechanizing aspects that do not require human intervention, and enhancing the
capabilities of the individuals who will ultimately manage it. The technology
decisions are essential, but the order in which you implement them is more
important. Thus, the initial step is to correct the data. Then, develop the
program based on the actual work processes of individuals. The subsequent steps
should be taken after this.


If you have any doubt related this post, let me know