ANALYTIKUS

LATAM Winner of the Global EdTech Awards 2017

SOME OF OUR HIGHER EDUCATION REFERENCES

OUR SOLUTIONS

How does an institution know if its prospects will convert to applicants?

And of those applicants, how many, if selected for admission, will successfully complete their program of study?

Admissions Optimizer

In most cases, institutions cannot answer these questions with a high degree of certainty.

 

For selective institutions, this means potentially spending more than necessary to recruit new applicants and giving away valuable space to students who may not retain. For non-selective institutions, there is significant potential for large numbers of underprepared students to attrite if they do not receive the proper types of support immediately.

 

Admissions Optimizer provides institutions with the critical intelligence necessary to focus their recruitment campaigns on qualified candidates and prepare support structures for potentially at-risk students before they are admitted. Thereby offering the opportunity to maximize recruitment spend, student outcomes, and institutional performance.

Strategic dashboards enable administrators to see, at a glance, the factors influencing the application funnel and success post-admission.

 

Tactical dashboards allow institutions to target recruitment candidates and identify students who may struggle from the start of their academic careers.

 

Understanding Individual Goals

Career Planer is based on the premise that while career paths may be similar, individual differences demand personalized solutions. 

 

Granularizing Course Content

Our Discover Platform federates and ingests course syllabi, content, and assignments, then utilizes latent semantic analysis to compare course content with internal goals and objectives, as well as those generated through ingestion of labor market data.

The Career Plan

Once courses have been semantically analyzed, the outcomes are then mapped to the career target, creating an individualized plan for each student.

Career Planner integrates up-to-date information on occupations and the labor market with latent semantic analysis of course content to create individualized pathways that help students achieve their career goals. For students who are undecided, Career Planner helps them visualize potential academic pathways related to options that interest them. From an institutional perspective, our solution streamlines the advising process and allows for a higher degree of personal interaction.

Career Planner

Earning a certificate or degree is just one step toward securing career goals. Successful employees have numerous hard and soft skills beyond degree requirements. That is why employers worldwide spend billions of dollars annually to help employees acquire necessary competencies.

 

Granularizing Course Content

Discover federates and ingests course syllabi, content, and assignments, then utilizes latent semantic analysis and AI to align these materials with goals, objectives, and competencies. The process utilizes natural language structures, instead of key words, to ensure the highest possible degree of accuracy.

 

Once completed, institutional stakeholders have a 360-degree view of all content in the university. This information can then be leveraged to create new materials that fill in identified gaps or increase the rigor of existing coursework. From a compliance perspective, this analysis allows institutions to provide accreditors with a complete mapping of learning objectives and related learning materials and assignments. Notably, Discover’s output is written to the Blockchain to form an immutable, highly-searchable record of current and previous states of content, that allows for visualization of all content relationships.

Does course content align with goals and objectives? Are competencies fully covered and assessed? Is there content that could improve course quality? Is there existing content that could be used in the course development process?

Discover

These are questions that few, if any, institutions can answer with complete confidence. Even when experts design and develop courses, gaps may exist. Discover allows institutions to analyze their courses to ensure alignment, searchability, and reusability of content.

 

Personality Dimensionalization

At the core of Foresight is the Personality Dimensionalization technique. Using AI, we create an x-ray of each student’s personality to help understand the potential level of success within the institution, programs of study, and individual courses. 

 

Commitment Index

Leveraging information from Personality Dimensionalization, as well as other factors such as activity, engagement, and persistence, we create an index that allows faculty and administrators to gain insight into each student’s level of commitment.

 

Risk Analysis

Finally, performance, course-taking patterns, and academic behaviors are combined with the Personality Dimensionalization results and the Commitment index, to continually evaluate risks for each student, whether that is dropping out or performing poorly on an upcoming assignment.

Foresight is a revolutionary platform that utilizes artificial intelligence (AI) to proactively identify potential academic trouble spots for each student. Initially, a comprehensive understanding of each student’s characteristics is developed. Based upon this profile, an individualized commitment index is created using rich data related to motivation, aspirations, and cognitive engagement histories. Finally, performance and interaction data are added to the model to pinpoint precisely when a student will experience difficulties and identify multi-dimensional solutions that can be implemented in real time.

Foresight

Student success means more than just preventing drop-outs. Just because students are retained, and graduate, does not mean that they will be successful. To truly serve students, solutions must be focused on optimizing performance and understanding that every learner is unique.

 

Unfortunately, the system is being abused:

  • A student, either individually or as part of an organized group, enrolls in an institution with low tuition costs.

  • The student then applies for the maximum allowable amount of financial aid.

  • The student completes the minimum amount of work necessary to get past the institution’s add/drop date.

  • The student receives the difference between the financial aid allocation and tuition back in cash.

  • The student quits participating in courses and disappears with the money.

The Financial Aid Abuse Analyzer can help your institution identify potentially fraudulent students and act to ensure only those truly in need of financial aid are receiving resources.

The Financial Aid Abuse Analyzer integrates information from the institution’s Customer Relationship Management (CRM) software with marketing automation systems that detect normative patterns in the admissions process. From there, the profiles of all new candidates are analyzed, using the our AI engine, to predict which students are most likely to be financial aid abusers. Based on this, institutions can incorporate additional screening mechanisms to ensure that only legitimate students are applying for financial aid and enrolling.

Strategic dashboards present an overview of all new registrations and compare them to historical norms.

 

Tactical dashboards illuminate those students most likely to be financial aid abusers, along with the characteristics that make them suspect.

Financial Aid Abuse Analyzer

Financial aid is intended to help students obtain the financial means to complete their education.

 

Many adult learners gain valuable knowledge, skills, and experiences throughout their lifetime.  When they make the decision to go back to college or transfer to another, they can earn credit for this learning they’ve gained outside of the classroom through Prior Learning Assessment (PLA).  PLA can ultimately save students time and money by enabling them to complete their degrees sooner.

Institutions that accept PLA credits have discovered significant correlations between degree completion and PLA. Students who receive PLA credits have a 58 percent completion rate, compared to 27 percent for students who did not participate in PLA (The Council for Adult and Experiential Learning, 2017). However, many institutions do not have PLA programs in place.

 

The PLA process requires students to compile a cumbersome and time-consuming portfolio. Additionally, training of faculty assessors and the portfolio evaluation process take a significant amount of time, frequently resulting in student dissatisfaction and financial losses for the student and institution.

The Prior Learning Analyzer automates the evaluation process, allowing students to quickly obtain credit for their previous experiences.

 

The Prior Learning Analyzer is a breakthrough tool that significantly reduces the time it takes to analyze students’ prior learning artifacts to apply toward college credit.

Once the student submits their artifacts for consideration, structured and unstructured data are analyzed using natural language processing and latent semantic analysis, in conjunction with AI, to determine what competencies have been met through previous experiences. With an accuracy of over 90%, the process is both quick and highly efficient. Credits are awarded and written to the Blockchain to create a permanent record of achievement that the student can share with others at any time. Further, advisors can access and use this information to help provide students with academic direction.

Prior Learning Analyzer

 

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