System, Method and computer program product for evaluating admissions related data and compute comprehensible scores for further determination, evaluation, and conclusion of applicant-fit in a college or university system.

Abstract

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.

Claims

1. A system for admissions predictions, evaluation, and sorting use comprising various processing algorithms to handle and communicate immense admissions related past and current data, mainly comprising of multiple cloud based services to store raw/semi-processed/processed data from all sources and mobile or non mobile device or non mobile devices and/or another device and mobile or non mobile device admissions file based search app client: and capable of receiving from a user or another device or system, a request to search or calculation for applicant file and applicant status determinations, the request comprising a keyword or multiple keywords or selections or values; based on receiving the request: retrieving, from storage databases, Admissions and applicant status based numerical evaluation and deterministic analysis software engine comprising of; a data device comprising a plurality of database entries each corresponding to a respective admissions and applicant data related asset (such as non calculated or calculated values or data or metadata or digitized content), wherein each database entry comprises descriptive metadata associated with the respective admissions and applicant data related asset (such as non calculated or calculated values or data or metadata or digitized content); comparing, using control circuitry, the keyword or multiple keywords or selections or values to the descriptive metadata associated with each of the plurality of database entries; identifying, based on the comparing, a subset of the plurality of database entries that are associated with the descriptive metadata that includes the keyword or multiple keywords or selections or values, an application program interface to allow two way communication, interaction and data sharing between the computer program product and other relevant devices or systems, wherein the subset of the database entries comprises database entries for admissions and applicant data related determinations; and storing, in user or another device or system interaction metadata, the request; receiving, from the user or another device or system, a selection of the admissions and applicant data related asset (such as non calculated or calculated values or data or metadata or digitized content); based on receiving the selection of the admissions and applicant data related asset (such as non calculated or calculated values or data or metadata or digitized content) storing, in user or another device or system interaction metadata associated with the request, an indication of the selection of the admissions and applicant data related asset; receiving, from the user or another device or system; generating a list of admissions and applicant data related determinations including the admissions and applicant data related asset (such as non calculated or calculated values or data or metadata or digitized content) and where in the admissions and applicant data related search app client comprises: software to interact with and present data to a user via the user interface, software to interact with and present data to another device or system interface, software to retrieve data comprising at least one cloud based service reading from the another cloud based service associated with another device or system interface, software to send the retrieved data from mobile or non mobile device to the admissions and applicant data related determinations search or calculation or calculator engine via the data network interface, and wherein the system comprises: wherein the at least one computer processor of at least one of: the mobile or non-mobile device or non mobile device, the admissions and applicant data related determinations search or calculation platform device, or the admissions and applicant data related determinations platform, is configured to: calculate the admissions and applicant data associated attributes; and wherein the at least one processor is configured to send the admissions and applicant data associated attributes of the device to the admissions and applicant data related determinations search or deterministic evaluation or numero-text based analytical engine via the data network interface, and receive admissions and applicant data related determinations data at the mobile device or non mobile device or non mobile device for the device, from the admissions and applicant data related determinations search or calculation or calculator engine via the data network interface, and display the admissions and applicant data related determinations data on the user or another device or system interface of the mobile or non-mobile device or non mobile device; wherein the admissions and applicant data related determinations search or deterministic evaluation or numero-text based analytical engine comprises wherein the at least one computer processor of the admissions and applicant data related determinations search or calculation platform device is configured to receive the derived or calculated data from the admissions and applicant data related determinations search or deterministic evaluation or numero-text based analytical app client via the data network interface, send the derived or calculated data to the admissions and applicant data related determinations process parameters determination subsystem computer program product via the data network interface, receive the admissions and applicant data related data from the admissions and applicant data related determinations process parameters determination subsystem via the data network interface, store the derived or calculated data and the admissions and applicant data related determinations data in the admissions and applicant data related determinations search or calculation database, and send the admissions and applicant data related determinations data to the admissions and applicant data related determinations search or deterministic evaluation or numero-text based analytical app client via the data network interface.

2. The system according to claim 1 wherein: the admissions and applicant data related determinations search or deterministic evaluation or numero-text based analytical app is configured to read data from said another cloud service of said plurality of cloud services; wherein the cloud services are encrypted by a known key in the main function of the software.

3. The system according to claim 1 wherein the admissions and applicant data related determinations search or deterministic evaluation or numero-text based analytical engine comprises wherein the at least one computer processor of the admissions and applicant data related determinations search or calculation platform device is configured to calculate the admissions and applicant data related determinations from the received data.

4. The system according to claim 1 wherein: the admissions and applicant data determinations search or deterministic evaluation or numero-text based analytical app client further comprises wherein said at least one computer processor of the mobile device or non mobile device or non mobile device is configured to automatically communicate the admissions and applicant data related determinations data to a pre-configured electronic address.

5. The system according to claim 1 wherein: the admissions and applicant data determinations search or deterministic evaluation or numero-text based analytical app client further comprises wherein said at least one computer processor of the mobile device or non mobile device or non mobile device is configured to display on the user or another device or system interface information regarding the admissions and applicant related determinations data.

6. The system according to claim 1 wherein: the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client further comprises wherein said at least one computer processor of the mobile device or non mobile device or non mobile device is configured to allow the user or another device or system to send the admissions and applicant related determinations data to a user or another device or system-specified electronic address to monitor, manage or control the device.

7. The system according to claim 1 wherein: the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client further comprises wherein said at least one computer processor of the mobile device or non mobile device or non mobile device is configured to display on the user or another device or system interface information regarding the admissions and applicant related determinations data.

8. The system according to claim 1 wherein: complex mathematical and abstract computations with words and processing of adjunct source based and text/raw numeral based data to provide comprehensive scorecards and understandable admissions ranges/strengths/weaknesses/probabilities/and future career or college based profitability (to the college and student) chances available purely by software systems, databases and data structures.

9. A admissions and applicant related determinations client application computer program product embodied on a computer accessible medium configured to execute, on at least one computer processor of a mobile or non mobile device or non mobile device in communication or non communication with a admissions and applicant related determinations search or calculation platform over a communications network, remotely obtaining admissions and applicant related determinations data, comprising: receiving, by the at least one computer processor, an interaction from a user or another device or system by communicating over data network; calculating, by the at least one computer processor, admissions and applicant related determinations or value; incorporating an application program interface to allow two way communication, interaction and data sharing between the computer program product and other relevant devices or systems, wherein the at least one computer processor of the admissions and applicant related determinations search or calculation platform device is configured to receive the derived or calculated data from the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client via the data network interface, send the derived or calculated data to the admissions and applicant related determinations process parameters determination subsystem computer program product via the data network interface, receive the admissions and applicant related determinations data from the admissions and applicant related determinations process parameters determination subsystem via the data network interface, store the derived or calculated data and the admissions and applicant related determinations data in the admissions and applicant related determinations search or calculation database, and send the admissions and applicant related determinations data to the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client via the data network interface; For responding, by the at least one computer processor, to the user or another device or system interaction by reading cloud based service readings from another cloud based service of said plurality of cloud based services; wherein the cloud based services connected to databases, or cloud based services connected to other admissions, and another cloud based service, other than a touchscreen, a keyboard, and a mouse; forming, by the at least one computer processor, a admissions and applicant related determinations search or calculation request by inserting, by the at least one computer processor, the cloud based service readings from the plurality of cloud based services into the admissions and applicant related determinations search or calculation request; and sending, by the at least one computer processor, the admissions and applicant related determinations search or calculation request, over the communications network, to the admissions and applicant related determinations search or calculation platform; and receiving, by the at least one computer processor, admissions and applicant related determinations data, from the communications network, in response to the admissions and applicant related determinations search or calculation request; and wherein the method comprises: retrieving, by the at least one computer processor, data comprising the at least one cloud based service reading; and calculating, by the at least one computer processor, admissions and applicant related determinations or values.

10. A method, comprising various processing algorithms to handle and communicate immense admissions data, on a mobile or non mobile device or non mobile devices and/or another device: capable of receiving from a user or another device or system, a request to search or calculation for admissions and applicant related determinations, the request comprising a keyword or multiple keywords or selections or values; based on receiving the request: retrieving, from storage circuitry, communicating with a data device comprising a plurality of database entries each corresponding to a respective admissions and applicant related asset (such as non calculated or calculated values or data or metadata or digitized content) wherein each database entry comprises descriptive metadata associated with the respective admissions and applicant related asset; comparing, using control circuitry, the keyword or multiple keywords or selections or value to the descriptive metadata associated with each of the plurality of database entries; identifying, based on the comparing, a subset of the plurality of database entries that are associated with the descriptive metadata that includes the keyword or multiple keywords or selections or values, wherein the subset of the database entries comprises database entries for admissions and applicant related determinations; and storing, in user or another device or system interaction metadata, the request; receiving, from the user or another device or system, a selection of the admissions and applicant related asset; based on receiving the selection of the admissions and applicant related asset (such as non calculated or calculated values or data or metadata or digitized content) storing, in user or another device or system interaction metadata associated with the request, an indication of the selection of the admissions and applicant related asset; receiving, from the user or another device or system; generating a list of admissions and applicant related determinations including the admissions and applicant related asset (such as non calculated or calculated values or data or metadata or digitized content) and wherein the system comprises: wherein the at least one computer processor of at least one of: the mobile or non-mobile device or non mobile device, the admissions and applicant related determinations search or calculation platform device, or the admissions and applicant related determinations platform, is configured to: calculate the admissions and applicant related or associated attributes; and wherein the at least one processor is configured to send the admissions and applicant related or associated attributes of the device to the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical engine via the data network interface, and receive admissions and applicant related determinations data at the mobile device or non mobile device or non mobile device for the device, from the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical engine via the data network interface, and display the admissions and applicant related determinations data on the user or another device or system interface of the mobile or non-mobile device or non mobile device; wherein the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical engine comprises wherein the at least one computer processor of the admissions and applicant related determinations search or calculation platform device is configured to receive the derived or calculated data from the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client via the data network interface, send the derived or calculated data to the admissions and applicant related determinations process parameters determination subsystem computer program product via the data network interface, receive the admissions and applicant related determinations data from the admissions and applicant related determinations process parameters determination subsystem via the data network interface, store the derived or calculated data and the admissions and applicant related determinations data in the admissions and applicant related determinations search or calculation database, and send the admissions and applicant related determinations data to the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client via the data network interface.

11. The method according to claim 8 wherein: the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app is configured to read data from said another cloud based service of said plurality of cloud based services; wherein the cloud based services connected to databases and 3rd party sources, or cloud based services connected to other admissions.

12. A set of methods in accordance to claim 8 having detailed aspects wherein: i. The method according to claim 8 wherein at least one computer processor of the admissions and applicant related determinations search or calculation platform device is configured to calculate the admissions and applicant related determinations from the received data. ii. The method according to claim 8 wherein: the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client of the mobile device or non mobile device or non mobile device is configured to automatically communicate the admissions and applicant related determinations data to a pre-configured electronic address. iii. The method according to claim 8 wherein: the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client of the mobile device or non mobile device or non mobile device is configured to allow the user or another device or system to send the admissions and applicant related determinations data to a user or another device or system-specified electronic address to monitor, manage or control the device. iv. The method according to claim 8 wherein: the admissions and applicant related determinations search or deterministic evaluation or numero-text based analytical app client of the mobile device or non mobile device or non mobile device is configured to display on the user or another device or system interface information regarding the admissions and applicant related determinations data.

13. Characteristics of the computer program product in the core function involving: i. A computer program product involving: multiple layers and dimensions of sorting, classifying, pre-processing and associating of initial data and suggestive data along with other related inputs along the data flow of the software algorithm functionality. ii. A computer program product involving: complex flows (with switch-case, split function, multi-storage, statistical and NLP (enhanced with ML) based standard algorithms) and invoking of data along the activation and result display processes of the software system, wherein data is processed to provide various aptitudes of understanding the applicant data in context of multiple fields.

Description

BRIEF DESCRIPTION OF DRAWINGS

[0025] FIG. 1: The inputs and sources of the software system leading to the actual CASPER report output, as well as the flow of information in and out of the system as a general scheme.

[0026] FIG. 2: The subtasks of the F algorithm, with its described intricacies of flow of classification of inputs and it's separate processing to lead to a set of processed and compiled data.

[0027] FIG. 3: The complete module of the computer program product wherein a final verdict is arrived at.

SPECIFICATIONSDETAILED DESCRIPTION

[0028] A comprehensive set and subset of specific and delicate functionalities is paramount for the perfect workflow of the CASPER system. Data flows from beginning to end, using various other sources, inputs, suggestions along the way to produce the ultimate desired result.

[0029] Referencing FIG. 1: The flowchart depicts the processing of data from human input, to program generated output, along with general external servers/linkages.

[0030] Referencing FIG. 1: The admissions committee clicks an IMPORT button which imports the complete pool of admissions files (as digitized copies in all supported file formats, like .pdf for essays, extracurriculars, test scores, report cards, letter of recommendations, .mp4 for music related entries, .jpg/.png/.jpeg for visual entries in any field) into the F algorithm in a linear fashion for evaluation by breakdowns of each component submitted for the final comprehensive CASPER score result.

[0031] Referencing FIG. 1: To supplement additional sources of data for a more accurate output in context of the full year's admissions cycle, past years admissions decisions data, already digitized, or made digital (since the applications before the 1990's or so were all paper) by a scan and Text Recognition System (A standard CTC Decoding Algorithm), and data from Social media, news, trusted college blogs/review/ranking pages will be inputted as an accessible object used after all of the admissions profile data has been processed for adjustments to the Pre-CASPER score.

[0032] Referencing FIG. 1: The data in addition to the admissions profile of each student is stored in separate end-to-end encrypted cloud services with only 1 port of access: the special key (the admissions profile number) to utilize the existing data (in form of all supported file formats which will be deciphered for image related data, and extracted to apply relevant data to the applicants profile by running the Base 1 NLP feature).

[0033] Referencing FIG. 1: The final CASPER score result, comprising of a common aptitude number, aptitude numbers specific to candidate selected majors, level of excellence in skills/traits that are preset by the college admissions committee (such as perseverance, computer-related skill, and so on) will be outputted. A common statistical analysis will then be performed on these set of numbers per candidate, which would provide quartiles, stacking by range of scores, and so on.

[0034] Referencing FIG. 2: The flowchart depicts the specifics of data processing within the algorithm, to give a final of the data report.

[0035] Referencing FIG. 2: The admission profile files are run through a parser separating the test scores, examinations and grades files with all the other components. Each separate set of data files (containing its own different components) are evaluated in a separate fashion first.

[0036] Referencing FIG. 2: The numerical component is all computed using a formula within the context of the applicants high-school and environment (town, any incidents leading to described performance, and so on) called the Numerical Weight Computing Algorithm which uses main numbers such as SAT/ACT scores, SAT Subject Test Scores, GPA's (weighted, unweighted) (or equivalents) and grades/percentages (of any sort with different evaluated boundaries for each internationally situated curriculum), along with trends across years and subjects of the student's academic performance in a complex mathematical formula with lesser weighted variables such as additional factors that may have caused a boost/dip in performance and so on. For example, a similar scoring system is the AI (academic index) system used by Ivy League Institutions in the US to recruit college athletes. This is then bucketed into a similar range of scores decided by the admissions committee (for easy match and access when evaluating this score separately and with the non-numerical component's score). The required, recommended, and non-required sub-component here may/not have different weightages based on user input.

[0037] Referencing FIG. 2: The non-numerical component has a Base 1 NLP, which uses ML based enhancement to extract key information separately from the essays, letters of recommendations, extracurriculars, and awards. A standard coreference resolution algorithm will be run on the extracted data, and the keyset result will be processed through a function, one which analyses the meaning, importance, depth, effort (of applicant), and difficulty of each related key set/subset of characters (or phrases and sentences) and computes an array of comprehensive scores and ranges based on the initial entries.

[0038] Referencing FIG. 2: This computed set of outputs is stored in a result cloud in a tabular fashion, where the tabulated numerals are each assigned to a scorecard aspect that is part of the final result.

[0039] Referencing FIG. 3: The CASPER system is activated by the admissions committee by logging into their service page, which then leads to a linkage of all the files of the applicants, separated by Applicant ID's, which then further is fed into the function leading to the comprehensive CASPER score report.

[0040] Referencing FIG. 3: The computed reports are assigned to all applicants back, and a snip-version of it is stored as an encrypted file (only accessible on or after a committee set time before decisions), where the committee decides what part of the CASPER is to be shared with the applicant (done through the function which appropriately pairs the data to the applicant and uses the preset filters from the committee to form the snipped file).

[0041] Referencing FIG. 3: The CASPER score distributer then assigns the set of values in a 2-D array back to each applicant (as a 2-D matrix forms an accessible table in each applicant object file). The CASPER score files are then distributed and organized by peculiarity, similarity, data falling in the same range, and so on into 3-Dimensional matrix buckets (to allow for matches in multiple criteria).

[0042] Referencing FIG. 3: This classified data (with appropriate keys at each datapoint to the appropriate applicant ID) is halted for a user input of a number between and including 0 and 100 as the A function which interprets numerical ranges as toggles on a meter, amplifying a certain behavior. In this case, the behavior is human interference in final stacking of decisions of applicants, done by the to function. (This function will be described in further detail when referencing FIG. 4.).

[0043] Referencing FIG. 3: The final decisions assigned by the function are then assigned appropriately as separate objects of Accept, Reject, and Waitlist decisions, along with any other nuance. The admit files are linked by Applicant ID for appropriate and correct decisions to pop-up on decision day, along with the correctly sorted (by function, and extracted by the function) admission status package from the complete file-set of the Admissions Committee ready for remote user access.

[0044] Referencing FIG. 4: In the functionality which is primarily used for non-numerical component evaluation (see FIG. 2), uses a set of simple functions and storage modules for achieving a sub-result. A stored 3-D matrix of all the key strings (containing phrases, words, sentences and so on) (solely for quicker access) is separated according to similar meaning and similar character containing datapoint strings using POS (Part of Speech) tagging, dependency parsing and NER (Named Entity Recognition) as tools to segregate outliers and non-outliers and their previously described subcategories in buckets.

[0045] Referencing FIG. 4: These buckets are parsed through a mathematical function assigning values to each passed datapoint, using a database of meaning-match strings, strings wherein similarity can be linked to certain other values that are used as part of the function to compute a complete value per matrix position. These value sets are then stored in an array of results for easier access. Correct locational identifiers are used throughout each process to link values back to the initial core phrases.

[0046] Referencing FIG. 4: In the to functionality, being a number for 0 to 100 is a parameter to a complex function with the nature f(x,y)m where mat() is the complete multidimensional array (adapting to all the various n number of criteria computer per applicant in the CASPER report (full version)), these 2 parameters are used in the final discerning process of applicant status, where each real number (range) decides a multiplying factor and the choice of complex mathematical function (using a standard switch block) to be used in calculating a final number (which when compared and placed within 3 ranges, decides the admit/reject/waitlist status) all of which is cumulatively stored after segregation in an encrypted temporary cloud of the Result Pile.

[0047] Further command from the committee (electronically leads to a separated result pile by status ready for the committee's viewing which is paired with the appropriate admissions package for all applicants).

[0048] Thus, the complete comprehensive complete computer program product can lead to significant advancements in quick and efficient college admissions processes.

[0049] While specific ideas and embodiments have been illustrated and described, numerous modifications come to mind without significantly departing from the spirit of the invention, and the scope of protection is only limited by the scope of the accompanying claims.

While certain aspects of the disclosure are presented below in certain claim forms, the inventor contemplates the various aspects of the disclosure in any number of claim forms. For example, while only one aspect of the disclosure is recited as a means-plus-function claim under 35 U.S.C. .sctn.112, 6, other aspects may likewise be embodied as a means-plus function claim, or in other forms, such as being embodied in a computer-readable medium. (Any claims intended to be treated under 35 U.S.C. .sctn.112, 6 will begin with the words means for.) Accordingly, the applicant reserves the right to add additional claims after filing the application to pursue such additional claim forms for other aspects of the disclosure.