System, apparatus and method for predictive management of college application information and college selection information may include a college admission event information handler and an application submission engine that may access a predictive college enrollment decision model, the college enrollment decision model building a financial aid offer model including an express strategic aid offer component determined from an express model of a strategic enrollment management system for a college.

The disclosure herein relates to a web-based platform for college admission officers and prospect student/applicants to connect with each other. This disclosure further relates to providing a user interface for a plurality of candidates to each populate a user profile with data items, assigning a score and a category label for each data item in each user profile, wherein a cumulative score is populated for each user profile by summing individual scores and wherein at least one top-level category is optionally assigned for each user profile, receiving a search query, through the user interface, including at least one of a desired cumulative score range, a desired score range for one or more category labels, and one or more top-level categories, and outputting a subset of the plurality of user profiles, through the user interface, wherein the subset of the plurality of user profiles match the search query.

The present disclosure provides a college admissions platform. The college admissions platform can have an application portal, a research request marketplace, an essay editing marketplace, and an essay sorter.

Methods, systems and computer readable media to generate and maintain academic credit scores for financial education and financial literacy education are described.

Systems, methods, and computer program products for determining an application status of an applicant for an educational program may include receiving cohort performance data comprising first data entries for participants that have respectively achieved outcomes for the educational program and applicant performance data comprising second data entries for the applicant, calculating adjusted cohort performance data based on the cohort performance data and first data characteristics, providing a predictor model based on the adjusted cohort performance data and the outcomes, sequentially changing predictive parameters of the first data characteristics to create second data characteristics and creating an adjusted predictor model based on the second data characteristics and the outcomes, calculating adjusted applicant performance data based on the applicant performance data and the second data characteristics, and calculating a probability of success for the applicant in the educational program based on the adjusted applicant performance data and the adjusted predictor model.

A computer-enabled system and related method to enable a user to edit, author and implement educational curricula and associated coursework. The system includes a content identification and parsing into instructional objects function, an instructional object organization function, a tool and template configuration function and a data gathering and analysis function. The instructional object organization function is configured to organize the instructional objects through metadata tags into a complete course content, wherein the organization of the instructional objects is modifiable.

A computer-based system, and a computer-implemented method, mentors students, particularly women and ethnic and racial minorities, intending to enter healthcare professions. The system uses a gamified mobile-enabled web application (App) that serves as a visual and interactive dashboard populated with checklists, career support resources, strategies, tips, and a mentoring platform to educate, encourage, empower, and facilitate the entry of students into the healthcare professions.

A method for processing tuition tax credit donations, comprising the steps of: prompting a donor to indicate whether a combined state tax credit and federal deduction is sought, or whether a federal charitable deduction alone is sought; prompting the donor to enter an original donation amount; prompting the donor to enter a first recommended recipient for the original donation amount; prompting the donor to enter a plus donation amount; prompting the donor to enter a second recommended recipient for the plus donation amount; and simultaneously executing a single credit/debit transaction for both the original and plus donation amounts.

Systems and methods for determining an amount of correlation between non-orthogonal vectors characterizing quantified curricula participation include generating a prioritization matrix for the scholarship including entries associated with ideal characteristics of scholarship applicants; generating an applicant attribute vector characterizing attributes of an applicant extracted from the application; calculating a product for each entry of the prioritization matrix by multiplying corresponding entries of the prioritization matrix and the applicant attribute vector; applying a weighting factor to the product for each entry of the prioritization matrix resulting in weighted products for each entry of the prioritization matrix; accumulating the weighted products into an applicant quality score indicating an amount of correlation between the prioritization matrix and the applicant attribute vector; transmitting an enhanced data packet to another computing device including the applicant attribute vector, the prioritization matrix, or the applicant quality score; and calculating a remaining scholarship budget.

A system and process for enrollment management begins with a prospective student, also referred to as a user, and an electronic mobile device. The system is designed to track and analyze data on every point in the enrollment decision making process and facilitate a prospective student's decision making process in the pre-enrollment phase of new student recruitment. The information gathered by the system offers institutions the ability to review potential students user behaviors and make the necessary adjustments to their pre-enrollment approach, garnering a higher level of inquiry to student/user conversion as well as inquiry to degree program start conversion. Correspondingly, the system engages the student/user after they have been accepted to the institution, providing in-depth, integrated activities and communication resources, coupled with behavioral tracking of events, increasing the likelihood of creating a deep symbiotic relationship. Thus, a student is engaged and ready to start. The fear many students have of taking such a big step is reduced. Structurally, the system and method include a central system server as a common hub for the communication and interactions described here combined with technological integration with the institutional servers. This combined technology interface provides key communication and action-related feedback to the users with real time transparency.