38 results about "Academic institution" patented technology

A computerized method and system for conveying the affordability of an individual's choice of post-secondary educational program by determining the total cost, estimated student aid awards and net price of attending a specific academic institution. The computer system receiving a student's and their family's personal, financial, and academic information and combining that information with specific and individualized cost of attendance information from one or more academic institutions. The computer system then calculates the total cost of attending the school, the estimated net price, and out of pocket expenses based on the information provided by the student. Additionally, the computer system and method provides affordability analysis tools to help student further understand the cost of funding and repaying the cost of an educational program under various scenarios.

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.

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.

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 model 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.

The present invention relates to an integrated student authentication and proctoring system for online and distance education programs, methods of producing the same, and methods of utilizing the same. In particular, the present invention relates to a software plugin or API that integrates with an existing Learning Management System (LMS) to provide customizable settings that enables one party (e.g., an academic institution or instructor) to take photos, compare photo from existing database, video, audio recordings, screen shots, thumb and finger print scan, retina scan, and/or provide security questions that must be answered by another party (e.g., student being tested) in order to authenticate the user and deter academic dishonesty.

A computerized system and method for determining and mitigating risk associated with student lending. The computer system determines a student quality index score, which provides an assessment of how likely the student, such as a student candidate or current student, is to succeed during school and after graduation. Then, based on the student quality index scores of the students, the computer system determines how to structure the financial aid award packages for each individual student to maximize the financial aid provided to the students and enable the academic institutions to be within the mandated lending regulations.

The embodiments disclosed herein relate networks interacting with an architecture to receive, store, disseminate, and access personal curriculum vitae data in a ledger. In some examples, the storage includes blockchain architecture to encrypt ledger entries. In some example embodiments, a back end system is arranged to provide access for academic institutions and stakeholder users to write to the ledgers, thereby controlling access.

A computer system and method that enables the customization and personalization of marketing material for potential students utilizing existing systems to provide students with net price information on the cost of attending an academic institution and supplements the financial information with marketing information that is customized and created for the potential student. The marketing material is unique to each potential student and is generated for each student based on their financial circumstances, personal interests and academic goals.

A secured academic ERP system comprises an ERP database storing data for an academic institution, an application server for authenticating users and generating requests to access the ERP database for the users, a security system that accesses a user permissions table that maps the users to permitted organizations within an academic institution and modifying the requests to limit the requests to the permitted organizations for the users making the requests, and a datasource for receiving the modified requests and passing those requests to the ERP database. This system extends security beyond the traditional role-based data security model to support the finer granularity security at the level of the content. This is achieved without the need for a new database architecture or the use of separate databases for different organizations

The invention provides a constant temperature metal heat treatment furnace which comprises a heating device, wherein a heating surface of the heating device is fixed on a furnace wall of the heat treatment furnace; the constant temperature metal heat treatment furnace also comprises a host, a display screen, a keyboard, a signal receiving module, a signal transmitting module and a control module; the signal receiving module mutually communicates with the signal transmitting module by virtue of a wireless network; the signal receiving module, the display screen and the keyboard are respectively connected with the host; and the signal transmitting module and the heating device are respectively connected with the control module. According to the constant temperature metal heat treatment furnace disclosed by the invention, the furnace temperature is automatically monitored and accurately controlled by the control module, the furnace temperature change is monitored in real time, and the metal heat treatment furnace can be widely applied to temperature control in metal heat treatment in enterprises and academic institutions. Meanwhile, remote control of the heat treatment furnace is realized based on a wireless technology, the control distance of the heat treatment furnace is greatly widened, the temperature can be regulated remotely, and the working efficiency is improved.

The invention discloses a learning data processing method of mobile equipment including a mobile phone on the basis of big data, and relates to the technical field of registering, having classes, examining, evaluating teaching quality and the like. The processing method comprises the following steps: a cloud computing platform summarizes teaching information; the information is subjected to dynamic and static data processing through a data acquisition layer; the processed data is subjected to dynamic and static studying characteristic analysis, so that a data storage layer stores information; and then, the data storage layer feeds data information back to a student, a service mechanism, an operator and a teacher through a precise teaching engine, so that the student, the service mechanism, an academic institution, the operator and the teacher obtain the teaching information from a precise teaching layer through a short message, a multimedia message, a WAP (Wireless Application Protocol), a customer service, a website and other paths. The learning data processing method can meet the requirements of the student on obtaining personalized teaching, then, a learner is precisely positioned through precise big data analysis and a data mining model, teaching resource putting precision is improved, teaching cost is lowered, and teaching quality is improved.

An online marketplace for individuals applying to academic institutions, employers, internship and apprenticeship programs or to trade or vocation programs is provided. The marketplace is formed using an inventive platform and user devices that exchange information. The information exchanged is used to market the user's academic, life skills and experiences to institutions, employers and other entities that must, thereafter, compete with one another in order to convince the individual to accept admission to an institution or accept a position of employment.

An academic ranking system and method. Academic institutions offering the same academic discipline are ranked. Citation data is classified into marketable specialties. Rankings based on the classified citation data are generated. Institutional academic rankings are then determined based on the ranking of classified citation data.

The invention provides an institution named entity normalization method and system, and the method comprises the steps: screening academic institution information data, and obtaining preprocessed dataafter wrong data is removed; carrying out denoising processing on the preprocessed data to obtain organization named entity normalized data; automatically determining the institution named entity normalized data through a constructed target text classification model, and outputting a judgment result to obtain a normalized standard name of the institution named entity; and according to the standard name, performing statistics on paper data of a corresponding institution. Therefore, the paper data of each academic institution can be counted, and the academic ability of the academic institutioncan be determined more scientifically and visually.

The invention discloses LAMP detection primers suitable for bombyx mori egg microsporidia and a quick detection method thereof. The detection primers are Septin1-F3, Septin1-B3, Septin1-FIP and Septin1-BIP, the four primers are represented as the SEQ ID No: 1-4. On the basis of the primers, detection steps and system are optimized, and the LAMP quick detection method for the bombyx mori egg microsporidia is disclosed. The method is simple in operation, is free of complex instruments and amplification program, is short in detection time and is low in interference on amplification due to impurities. A reaction result is easy to determine and has strong specificity. The invention provides important basic and technical basis for applying the detection on the bombyx mori egg microsporidia with the LAMP and ensuring health and toxic-free for silkworm eggs. The method can satisfy toxicity detection demands in academic institutions, silkworm egg producing departments and silkworm egg quality detection centers and is easy to promote in large scope.

A method for tutor rating for brokered tutor matching includes receiving a tutoring request for tutoring services from a student registered for a selection of courses at an academic institution, the request specifying a course, a time of tutoring and duration of tutoring. Thereafter, a set of tutors is identified, each having been registered to perform tutoring in the specified course as having previously completed coursework in the specified course and having achieved a threshold grade in the specified course. A rating for each one of the tutors in the set is then retrieved and the student matched with a highest rated one of the tutors in the set. Finally, the matched tutor is assigned to the student as a tutor providing the tutoring services at the time of tutoring.

A method for classroom vacancy determination in brokered tutor matching includes receiving a request for tutoring services from a student for a specified course and matching the request to a tutor able to tutor in the specified one of the courses. The method yet further includes retrieving a manifest of classrooms for the academic institution and also a class schedule for classes at the academic institution at a time of the proposed tutoring, and determining from the class schedule, each classroom in the manifest assigned to one of the classes scheduled at the time of tutoring so as to generate a list of the classrooms not assigned to any of the classes scheduled at the time of tutoring. Finally, the method includes selecting a classroom from at least a subset of the list as a venue for the tutoring services.

The invention discloses an academic institution name entity alignment method based on text features. The academic institution name entity alignment method comprises the following five steps: converting English abbreviations into English full names; correcting the error correspondence of the English abbreviation and the English full name; translating to complement English full names and Chinese names; correcting wrong Chinese names; and performing academic institution combination based on the text features. According to the method, entity alignment is carried out by using academic institution data extracted from Chinese and English text data; wherein each part of institution data contains English abbreviation, English full name, Chinese name, geographic position, content loss and a small amount of errors, and finally obtaining a plurality of different names corresponding to the same institution by complementing the missing data, correcting the error data and combining the data of the same institution. According to the method, the organization name text features and the geographic position information are combined for academic organization name entity alignment, the pre-marked organization name corresponding relation and the context semantic information of the name are not needed, and a good entity alignment effect is obtained with low complexity.