Introduction

In this study, computationally intelligent methods have been developed for processing and analysis of qualitative research data. Practical solutions of those methods have been implemented as subroutines for the Neural Data Analysis environment.

The used data sets have been collected by the Institute of Educational Research of University of Jyväskylä.

Data Sources and Content Types

• Questionnaire / interview based data
  • Multi-choice answers to questions or opinions to statements

    

  • Numerical background information (age, grades, scores)
  • Answers to questions as free-form text
• Analysis of educational processes
  • Episodical series of codes indicating the actions performed by a single person in an educational situation
    

      Coding 1: 00:00  4, 00:45  6, 02:10  5, 03:25  2, ...
      Coding 2: 00:00 22, 01:15 26, 02:45 23, 04:30 25, ...