EXPLORATIONS IN COMPUTER-ASSISTED COUNSELING.

Abstract

Explicit models of a school counselor's cognitive behavior in the appraisal of student information and of his overt verbal responses in the educational planning interview were made with computer programs and computercontrolled equipment. The computer system was based on recordings of the counselor's verbalizations in two situations--as he thought aloud while analyzing the student cumulative records prior to interviews, and as he conversed with the student during the interview. The sample consisted of 20 ninth-grade students. A program on the Philco 2000 computer, representing the preinterview appraisal, accepts inputs such as school grades, test scores, and biographical data; analyzes the data according to the inferred model of the counselor's decision-making rules; and prints out statements such as 'Student's grades have gone down quite a bit. Ask about this in interview. Possibly there are personal problems,' or 'Low counseling priority; no problems apparent.' The automated interview is conducted by a teletype under control of the Q-32 computer in a time-sharing mode. This automated interview program reviews student progress, collects comments from the student, reacts to student plans, and helps the student plan a schedule of high school courses. To assess the validity of the model, the automated systems were compared to the responses of the original human counselor with a new sample of 20 students from the same population. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 06, 1965
Accession Number
AD0620602

Entities

People

  • Donald P. Estavan
  • John F. Cogswell

Organizations

  • System Development Corporation

Tags

DTIC Thesaurus Topics

  • Computer Programs
  • Computers
  • Control Systems
  • Counseling

Fields of Study

  • Education

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Psychometric Testing or Psychological Assessment.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML