The present invention provides a computer-implemented educational management system that empowers educators to create new student-centric guided pathways that help increase college readiness, accelerate college completion and improve student outcomes and career readiness for all, throughout our education system. By providing all the key college touchpoints throughout the students' journey and guiding them every step of their college experience, the present invention enables colleges to keep students on track and prepares them for successful entry into the workforce. The present invention further facilitates labor market readiness through employer-education linkages and by seamlessly connecting students to workforce opportunities. The present invention further provides comprehensive practitioner dashboards that enables the secure and consistent alignment, collection and real-time reporting of key performance accountability metrics for various state and federal programs.

The invention is directed to a system and method for collection, distribution and delivery of university student enrollment, progress, and degree completion data, media content, and other data to campus students, faculty, users, employees, and external stakeholders, and more particularly to an integrated distribution system and method that obtains data from multiple sources into a single database, extracts and validates relevant data from the multiple sources and removes legacy formatting and non-essential information, provides user-centric reports, and distributes graphic media from one or more filtered special-purpose user-centric reports that is published to user display devices.

Disclosed are systems and methods that efficiently and reliably allows school district(s) and municipalities as well as third parties provide incentives to students' accounts, and those incentive awards can be converted to funds for additional education expenses. In one aspect, the method includes reconciling a plurality of transactions transferring funds to a student account from a municipal account upon a corresponding student accomplishing at least one of a plurality of goals. The goals are each based upon completion of an action stored in a municipal database. The method includes, upon reconciling the transactions, determining that a remaining amount in the municipal account is less than a predetermined threshold and automatically generating and transmitting an alert message to a dashboard user interface of the municipal account for display on a municipal workstation comprising an indicator that the remaining amount in the municipal account is less than the predetermined threshold.

A method includes receiving fellow skill graphs and electronic calendar objects; processing the fellow skill graphs and the electronic calendar objects using a trained machine learning model to predict sessions; and displaying the sessions. A computing system includes a processor; and a memory having stored thereon executable instructions that, when executed by a processor, cause the computing system to: receive fellow skill graphs and electronic calendar objects; process the fellow skill graphs and the electronic calendar objects using a trained machine learning model to predict sessions; and display the sessions. A non-transitory computer-readable medium includes executable instructions that, when executed, cause a computer to: receive fellow skill graphs and electronic calendar objects; process the fellow skill graphs and the electronic calendar objects using a trained machine learning model to predict sessions; and display the sessions.

This patent discloses methods, systems, and a computer program product for remote analysis of multiple higher-education based factors and other applicant submitted data in undergraduate college admissions processes from a mobile (such as smartphones or tablets) or non-mobile device such as a computer, both of which utilize a data network to fine-tune decisions, along with user input data and previous behavior patterns in admissions processes. The methods and systems use primary and secondary data in real time to compute, evaluate and communicate the final result, an indicative scorecard to aid in further evaluation of the admissions committee regarding one or a set of applicants in the pool.

In an approach for tailoring a set of course material of an online educational course to provide one or more learning supports necessary for a student with a neurodivergent-classified condition to succeed, a processor receives a request from a user to tailor the set of course material. A processor identifies one or more neurodivergent needs of the user based on a first set of data gathered from a database. A processor observes the user complete an unmodified version of the online educational course in real-time to identify one or more additional neurodivergent needs of the user. A processor determines one or more preferences of the user. A processor generates a set of recommendations on how to tailor the set of course material. A processor creates a personalized user interface based on the set of recommendations for the user to access a tailored set of course material.

The embodiments herein relate to electronic learning (eLearning) systems and methods. The systems include at least one server, a plurality of computers in data communication with the at least one server, the computers being usable by educational providers, learners, employers and accreditors to connect to the server, wherein the server is configured to receive educational provider information from the educational providers, the educational provider information for each of the educational providers including learning opportunity information associated with at least one learning opportunity.

Technologies are provided for managing scholarship programs. An example method can include receiving scholarship applications for students, each scholarship application identifying school preferences and a household income of a student, the school preferences defining a ranked set of school entities; calculating a prioritized scholarship queue of students based on the scholarship applications and criteria including reservation dates associated with the students and the household income associated with each student; matching each student in the prioritized scholarship queue with a scholarship(s) for a school entity identified in the school preferences associated with the student; for each student, determining whether one or more scholarship pools have sufficient funds for the scholarship(s), the one or more scholarship pools corresponding to the school entities identified in the school preferences associated with the student; and when a scholarship pool has sufficient funds for a scholarship, reserving funds for the scholarship from the scholarship pool.

A retention management system identifies, analyzes, and evaluates student information collected by the enterprise resource planning systems and learning management systems. The retention management system applies an algorithm to collected information and locates students that are struggling before they are lost to attrition. The retention management system also provides tools to allow personnel at the academic institution to communicate with students, implement plans to correct current problems with student, and to predict and prevent future problems.

An embodiment of the present invention provides a college matching system comprising: a user interface for inputting college admission basic data of a user. The system receives and stores the input college admission basic data of the user; generates an acceptance rate calculation parameter to be applied to an acceptance rate calculation algorithm of each college based on a first basic data corresponding to acceptance statistics of each college and a second basic data corresponding to data on successful applicants of each college; calculates an acceptance rate by applying a weight to the college admission basic data and using the acceptance rate calculation algorithm to which the generated acceptance rate calculation parameter and the weight is applied; classifies the calculated acceptance rate into a hierarchy according to a preset condition; and provides data on the acceptance rate classified into a hierarchy and information on colleges corresponding thereto.