Scale enrollment by valuing Adult Learners
Enabling employers to have a comprehensive approach to both training and tuition benefits
We keep good company
Transform your admissions strategy
Open the door to 100M+ Adult Learners 40M+ with some credit no degree. Grow your enrollments by demonstrating how much you value an experienced student.
Stand out from the 4000 other institutions by demonstrating how easy it is to have experience evaluated for meaningful credit
With JIT data and dashboards, keep your front line staff working directly with students efficiently
Provide adult learners agency to share their experience while easing the faculty review with recommendations
Bring your goals to bear by creating a distinct path for the 75% of all students bringing experience
See which individuals are pursuing prior learning evaluation, where they are in the process, and reviewee awards
Ease the transfer of data by seamlessly moving approved awards into student records and public equivalency tables
A Comprehensive System
Gone are the days of shared folders and updating LMS pages each semester. Streamline your PLA process with a single, centralized system that collects information, tracks progress and awards, and communicates with student, administrator, and faculty reviewer.
The system not only tracks prior learning evaluations but also enables advisors to create personalized pathways for individuals to achieve their goals. It provides faculty with expert recommendations and reviews awards, considering all aspects of prior learning, including microcredentials.
Customize just-in-time and aggregated reporting to analyze the success of PLA, identifying best practices and optimizing resource allocation for maximum impact. The system helps identify backlogs and delays, calibrates efforts across departments, and drives outcomes with measurable ROI.
Simplify the faculty review process by centralizing it in a single repository that includes reminders, value statements, and learning evaluation information. This system streamlines course approvals and feedback, and supports accreditation reviews with detailed approval tracking.
How do we compare to other solutions?
Our use of AI with a centralized, comprehensive approach to meaningful credit differentiates EAS from the rest
Centralized system for students, staff, faculty, partners
Reporting functionality: across process, including timing, approvals, and customizations
AI to crosswalk
Honors faculty authority and reduces faculty cognitive load
Based on CAEL standards
Leverages ACE recommendations for meaningful credit
Placed at any point in student journey
Are you ready to drive enrollment?
You have 100M students waiting to hear how you value their experience and credentials. Let us show you how you can do that within the framework of your policy and processes!
Frequently asked questions
Everything you need to know about the product and billing.
Who typically is the point person at an institution?
It depends on the institution, their goals, and structure. The platform is set up so that regardless of who is running point, there are permissions for other individuals to have access.
What are the ethical implications of using AI for PLA with EAS?
EAS is a closed system that is based 100% on the institution’s policy guideline and the faculty retain 100% authority for approving and denying. The algorithm is only trained on approved results. EAS creates a systematic way to bring transparency to a traditionally opaque process. Anyone with administrative access to the system can see what was reviewed by whom date and time stamped. Data is then available for strategic decision making: numbers of students starting, stopping, completing, time for each piece of the process, final credits reviewed, final credits awarded, majors/disciplines that are trending and where more resources are needed.
If we are new to PLA or don’t have fully fleshed out policies/procedures, will EAS work?
Yes, we designed the platform for institutions that are at any stage in their PLA evolution. The data garnered from the platform will help to drive unprecedented insights for data-driven strategic decision-making around modifying policies, practices, and resourcing (from training to institutional partnership to PLA fees).
Do you provide any professional services to help us get set up or lay the foundation?
Yes, our team of higher education professionals can work with you [and/or your team] on everything from building, refining, measuring, or implementing. Our system is based on the CAEL standards and we are committed to creating the optimal PLA for each institution’s context.
How do you compare to other products?
Our system is based on the CAEL standards and we are committed to creating the optimal PLA for each institution’s context. We provide a significantly different value proposition from the products. (link to the standards doc)
Can we only use EAS for students or do we have to purchase both student and partner?
The platform was designed modularly enabling institutions to choose the preferred deployment. For optimal outcomes, we recommend using the partner side to build out an comprehensive equivalency table (if you don’t already have one) allowing for the system to differentiate institutionally equated experiences (exams, certifications, bootcamps, apprenticeships and training programs) from experiences that haven’t already been considered.
What is the pricing?
We have a flat annual fee for unlimited access to institution’s faculty and staff. Then the students and partners licences are purchased in non-expiring bundles. Both students and partners have unlimited access to update their submissions over time on a singular license.
Are you making the credit decisions?
No – we honor the authority of faculty in making all equivalency decisions. We use AI to map the individual’s experience or partner’s offerings to your college catalog. The faculty will receive recommendations of potential equivalencies that they can approve or deny or provide alternative courses for. We then train the algorithm based on the faculty decisions to make it a better “helper” for future recommendations.
If you use AI, how do you protect data?
We have a proprietary algorithm that is trained to the institution’s specifications. Each institution has a separate instance on AWS with state of the art security and protection. (link to privacy doc)
What are your policies and procedures regarding data storage?
Each institution has their own data tables that do not intermingle data. Each institution has a separate instance on AWS with state of the art security and protection. (link to security doc)
