Abstract: 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 adjust

Abstract: 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 adjust

Abstract: Systems, methods, and computer program products for generating a normalized assessment of instructors include calculating a first relative value unit (RVU) score for didactic instruction provided by the instructor, calculating a second RVU score for at least one of online instruction, seminar instruction, laboratory instruction, and/or simulation instruction provided by the instructor, calculating a third RVU score for practical experience instruction provided by the instructor, generating a normalized score for the instructor based on the first RVU score, the second RVU score, and the third RVU score, and displaying the normalized score for the instructor, where the first, second, and third RVU scores are each time-normalized scores.

Abstract: The systems, methods and associated devices electronically collect, report and generate normalized educational outcome summaries of multiple different educational inputs, including didactic, experiential and problem solving events and/or assessments.

Abstract: Methods, systems, and computer program products for assessing a student in in an online discussion event using at least one processor of a computer includes obtaining discussion data comprising a plurality of discussion posts in a data file, each comprising a post author and post content, grouping the plurality of discussion posts of the data file into a plurality of discussion threads, classifying individual discussion posts of the plurality of discussion posts based on a post type, and assigning relative value units (RVUs) to at least one of the plurality of discussion posts, where the RVUs are time-normalized scores based on a complexity of the discussion post.

Abstract: 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 adjust

Abstract: 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 adjust

Abstract: The systems, methods and associated devices electronically collect, report and generate normalized educational outcome summaries of multiple different educational inputs, including didactic, experiential and problem solving events and/or assessments.

Abstract: Systems, methods, and computer program products for generating a normalized assessment of instructors include calculating a first relative value unit (RVU) score for didactic instruction provided by the instructor, calculating a second RVU score for at least one of online instruction, seminar instruction, laboratory instruction, and/or simulation instruction provided by the instructor, calculating a third RVU score for practical experience instruction provided by the instructor, generating a normalized score for the instructor based on the first RVU score, the second RVU score, and the third RVU score, and displaying the normalized score for the instructor, where the first, second, and third RVU scores are each time-normalized scores.

Abstract: Systems, methods, and computer program products for generating a normalized assessment of instructors include calculating a first relative value unit (RVU) score for didactic instruction provided by the instructor, calculating a second RVU score for at least one of online instruction, seminar instruction, laboratory instruction, and/or simulation instruction provided by the instructor, calculating a third RVU score for practical experience instruction provided by the instructor, generating a normalized score for the instructor based on the first RVU score, the second RVU score, and the third RVU score, and displaying the normalized score for the instructor, where the first, second, and third RVU scores are each time-normalized scores.

Abstract: The systems, methods and associated devices electronically collect, report and generate normalized educational outcome summaries of multiple different educational inputs, including didactic, experiential and problem solving events and/or assessments.

Abstract: 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 adjust

Abstract: Systems, methods, and computer program products for generating a normalized assessment of instructors include calculating a first relative value unit (RVU) score for didactic instruction provided by the instructor, calculating a second RVU score for at least one of online instruction, seminar instruction, laboratory instruction, and/or simulation instruction provided by the instructor, calculating a third RVU score for practical experience instruction provided by the instructor, generating a normalized score for the instructor based on the first RVU score, the second RVU score, and the third RVU score, and displaying the normalized score for the instructor, where the first, second, and third RVU scores are each time-normalized scores.

Abstract: Systems, methods, and computer program products for characterizing grader behavior and evaluating student performance may include generating a rubric for assessing competency of a student, receiving a plurality of assessments of the competency of the student based on the rubric, creating an assessment comparison between respective ones of the plurality of assessments, based on the assessment comparison, creating characterizations of the plurality of assessments, and calculating a final assessment of the competency of the student based on the characterizations of the plurality of assessments.

Abstract: Methods, systems, and computer program products for assessing a student in in an online discussion event using at least one processor of a computer includes obtaining discussion data comprising a plurality of discussion posts in a data file, each comprising a post author and post content, grouping the plurality of discussion posts of the data file into a plurality of discussion threads, classifying individual discussion posts of the plurality of discussion posts based on a post type, and assigning relative value units (RVUs) to at least one of the plurality of discussion posts, where the RVUs are time-normalized scores based on a complexity of the discussion post.

Abstract: The systems, methods and associated devices electronically collect, report and generate normalized educational outcome summaries of multiple different educational inputs, including didactic, experiential and problem solving events and/or assessments.

Abstract: The systems, methods and associated devices electronically collect, report and generate normalized educational outcome summaries of multiple different educational inputs, including didactic, experiential and problem solving events and/or assessments.