Computer-assisted methods and apparatus for selecting and matching learning tools that possess developmental value with the individual characteristics of a child are disclosed. Commercially available products consisting of toys, games, books, and allied learning materials are analyzed and the data relating to the personal traits required to use the product, educational value of the product, learning value of the product, instructional variables required to use the product, and the description of the product is entered into and stored in a computer system. Information concerning a child's sensory learning style preferences, hobbies and interests, academic conditions, medical conditions, social habits, emotional attitudes, and nutritional habits is entered into the computer system. The system compiles the child data into a report. The system also matches the child data with the product data and a list of preferred products is produced from which parents select appropriate learning tools for the child.
A computer-implemented method for predicting, diagnosing and/or treating reading deficit in a human being is disclosed. The method includes generating a set of tonal stimuli, which includes at least a first tonal stimulus and a second tonal stimulus. The first tonal stimulus is separated from the second tonal stimulus by an interval. The computer-implemented method further includes providing the set of tonal stimuli to the human being and receiving a response from the human being. The response from the human being indicates a perception by the human being pertaining to the set of tonal stimuli. Further, the computer-implemented method includes ascertaining a first parameter pertaining to the set of tonal stimuli at which the response is inaccurate. The first parameter is one of a frequency parameter and a time parameter. The first parameter indicates that the human is susceptible to the reading deficit if the first parameter is above a predefined parameter value.
A decision making system is described whereby a method of performing a detailed level evaluation of one or more products or articles based on a decision makers response to one or more questions relating to the decision makers requirements is described. The method includes the decision maker responding to the question relating to the decision makers functional requirement or requirements talking into account a predefined result type. The response is compared with a product result where the product result reflects a particular functional capability of the article or product in relation to the particular question. This produces an evaluation ratio or series of evaluation ratios which are statistically analysed to determine how well the product or article meets the decision makers requirements. The method is particularly suitable for analysis of software packages such as accounting packages and the like and provides a way by which a user may determine, at a highly detailed level, the suitability of various packages to the users requirements.
A system for determining selections that a user is likely to be interested in. The determination is made based on the user's prior indicated preferences. The user designates his or her preferred selections as entries in a user's preference list. Entries in the user's list are compared with entries in the other users' lists. When a significant number of matches have been found between two lists, the unmatched entries of the other user's preference list are extracted. The unmatched entries are further processed. Those unmatched entries with a high correlation to the user's preference list are presented to the user as selections in which the user is likely to be interested.
This invention relates to an automated method for identifying matches between a set of predetermined traits and a set of preferences. This method can be used to find compatible matches in a variety of situation s where participants are identified by a profile of traits and a set of criteria desired in at match, including, for example, matching candidates to residency program, and matching job hunters with employment opportunities. The present invention offers advantages and improvements over prior computer matching systems because, it provides an automated, effective method for matching traits with corresponding preferences and insures that only matches of the highest degree are made. The, present invention utilizes two-way matching of selected criteria, which measures not only how compatible the potential match is with the desired traits of the user, but also how well the user fits the potential match's idea of the perfect match.
A system for determining selections that a user is likely to be interested in. The determination is made based on the user's prior indicated preferences. The user designates his or her preferred selections as entries in a user's preference list. Entries in the user's list are compared with entries in the other users' lists. When a significant number of matches have been found between two lists, the unmatched entries of the other user's preference list are extracted. The unmatched entries are further processed. Those unmatched entries with a high correlation to the user's preference list are presented to the user as selections in which the user is likely to be interested.
