Computational Intelligence Techniques for Nonlinear
Modeling in Social Sciences (NONE)
Director of research:
Tirri, Henry; professori; Department
of Computer Science; Henry.Tirri@cs.helsinki.fi;
Abstract: The general objective of this
research is to develop theoretically sound computational intelligence techniques
for nonlinear modeling of data, and methodologies for applying them in the domain
of educational data.
Keywords: Probabilistic modeling, Bayesian
networks, stochastic complexity, quantitative data analysis, modeling in education
Timetable: 1.1.1997 - 31.12.1999. The
research project has ended and the final report is given.
Researchers: Tirri,
Henry; Ruohotie, Pekka; Myllymäki,
Petri; Silander, Tomi; Nokelainen,
Petri;
Other co-coperation organizations:
Research Centre for Vocational Education, University of Tampere, Finland
Software: One
of the objectives of the project is to provide software that implements various
Bayesian and information-theoretic methods for quantitative data analysis in
education. The software is distributed free of charge for research and teaching
purposes only.
- Bayesian
Predictive Discriminant Analysis (BAYDA)
BAYDA implements Bayesian predictive discriminant analysis, where the aim
is to build a model for predicting the value of one discrete (class, group,
category) variable using other variables. BAYDA performs "fully Bayesian"
predictive inference of class memberships based on a Naïve Bayes model
build from the data set. It is designed to guide the researcher through the
analysis step-by-step, and the results can be saved as html-files for documentation.
Both Windows'95/NT and Linux versions are available. NOTICE:
BAYDA IS NO LONGER DEVELOPED OR SUPPORTED. WE WELCOME YOU TO TRY C-TRAIL
OF THE B-COURSE WEB-SERVICE.
Publications:
- Nokelainen, P., & Ruohotie, P. (1999).
Structural Equation Modeling in Professional Growth Research. In P.Nokelainen,
P.Ruohotie, T.Silander, & H.Tirri, Modern Modeling of Professional
Growth, vol. 1, pp. 121-154. Hämeenlinna, Finland: University of
Tampere, Research Centre for Vocational Education and Training.
- Nokelainen, P., & Ruohotie, P. (2000).
Modeling Student Motivation and Self-Regulated Learning with Bayesian Networks.
ERIC Document Reproduction Service No.ED442849.
- Nokelainen, P., & Ruohotie, P. (2001, April).
Modeling Student Motivation and Self-Regulated Learning with Bayesian Networks.
Paper presented at the Annual Meeting of American Educational Research Association.
Seattle, USA.
- Nokelainen, P., & Ruohotie, P. (2002).
Modeling
Student's Motivational Profile for Learning in Vocational Higher Education.
In H. Niemi & P.Ruohotie (Eds.), Theoretical Understandings for Learning
in the Virtual University, pp. 177-206. Hämeenlinna, Finland: University
of Tampere, Research Centre for Vocational Education.
- Nokelainen, P., & Ruohotie, P. (2003a).
Common
Components Between Dimensions of Growth-oriented Atmosphere and Empowerment.
In Proceedings of International Research on Work and Learning (RWL)
Conference, pp. 176-185. Tampere, Finland.
- Nokelainen, P., & Ruohotie, P. (2003b).
Modeling
the Prerequisites of Empowerment. In B. Beairsto, M. Klein & P. Ruohotie
(Eds.), Professional Learning and Leadership, pp. 147-176. Hämeenlinna,
Finland: University of Tampere, Research Centre for Vocational Education.
- Nokelainen, P., & Tirri, H. (2002). Issues
in Designing an InteractivePersonalized Self-Assessment Tool. In H. Niemi
& P. Ruohotie (Eds.), Theoretical Understandings for Learning in the
Virtual University, pp. 73-89. Hämeenlinna, Finland: University of
Tampere, Research Centre for Vocational Education.
- Nokelainen, P., & Tirri, H. (2003, April).
Advanced Methods for Analyzing Cultural-cultural Data. Paper presented
at the Annual Meeting of American Educational Research Association (AERA 2003).
Chicago, USA.
- Nokelainen, P., & Tirri, H. (2004). Bayesian
Methods that Optimize Cross-cultural Data Analysis. In J. R. Campbell, K.
Tirri, P. Ruohotie & H. Walberg (Eds.), Cross-cultural Research: Basic
Issues, Dilemmas, and Strategies, (pp. 141-158). Hämeenlinna, Finland:
Research Centre for Vocational Education, University of Tampere.
- Nokelainen, P., Ruohotie, P., & Tirri,
H. (1999). Professional Growth Determinants - Comparing Bayesian and Linear
Approaches to Classification. ERIC Document Reproduction Service No.ED442850.
- Nokelainen, P., Ruohotie, P., Miettinen, M.,
Kurhila, J., & Tirri, H. (2003). Integrating self-rated motivational
and learning strategy profiles into collaborative real time on-line learning
environment. Paper presented at the International CAL´03 Conference
(Belfast, Ireland, April 2003).
- Nokelainen, P., Ruohotie, P., Tirri, H., &
Silander, T. (2002, September). Empowerment - modeling the prerequisites
of change and growth with Bayesian networks. Paper presented at the European
Conference on Educational Research (ECER). Lisbon, Portugal.
- Nokelainen, P., Silander, T., Ruohotie, P,
& Tirri, H. (2003a, August). Investigating
Non-linearities with Bayesian Networks. Paper presented at 111th Annual
Convention of the American Psychology Association, Division of Evaluation,
Measurement and Statistics. Toronto, Canada.
- Nokelainen, P., Silander, T., Ruohotie, P.,
& Tirri, H. (2003b, August). Empirical evaluation of non-linearities
in professional growth data. Paper presented at 10th Biennal Conference
of the European Association for Research on Learning and Instruction. Padova,
Italy.
- Nokelainen, P., Silander, T., Ruohotie, T.,
& Tirri, H. (2004, April). Empirical
Investigation of Non-linearities in Growth-oriented Atmosphere Data.
Paper presented at the Annual Meeting of the American Educational Research
Association, Educational Statisticians Paper Session: Growth Curve and Structural
Equation Models. San Diego, USA.
- Nokelainen, P., Silander, T., Tirri, H., Tirri,
K., & Nevgi, A. (2001). Modeling Students' Views on the Advantages of
Web-Based Learning with Bayesian Networks. In H. Ruokamo, O. Nykänen,
S. Pohjolainen & P. Hietala (Eds.), Proceedings of The 10th International
Intelligent Computer andC ommunications Technology - Learning in On-Line Communities
(PEG2001) Conference, pp. 202-211.
- Ruohotie, P., & Nokelainen, P. (1999).
Modern Modeling of Professional Growth - Classification with Bayesian Statistics.
In P. Ruohotie, J. Honka & A. Suvanto (Eds.), The Developmental Challenges
in the Cooperation of Education, Training and Working Life, pp. 103 -
114. Helsinki: Edita.
- Ruohotie, P., & Nokelainen, P. (2000a).
Modern Modeling of Student Motivation and Self-Regulated Learning. In P. R.
Pintrich & P. Ruohotie (Eds.), Conative Constructs and Self-Regulated
Learning, pp. 141-193. Hämeenlinna, Finland: University of Tampere,
Research Centre for Vocational Education.
- Ruohotie, P., & Nokelainen, P. (2000b).
Beyond the Growth-oriented Atmosphere. In B. Beairsto & P. Ruohotie (Eds.),
Empowering Teachers as Lifelong Learners, pp. 147 - 167. Hämeenlinna,
Finland: University of Tampere, Research Centre for Vocational Education.
- Ruohotie, P., Nokelainen, P., & Tirri,
H. (1999a, April). Professional Growth Determinants. Paper presented
at the Annual Meeting of American Educational Research Association. Montreal,
Canada.
- Ruohotie, P., Nokelainen, P., & Tirri,
H. (1999b, September). Comparing Bayesian and Linear Approaches to Classification.
Paper presented at the European Conference on Educational Research. Lahti,
Finland.
- Ruohotie, P., Nokelainen, P., & Tirri,
H. (2001, September). Modeling Growth-Oriented Atmosphere with High-Dimensional
Data Visualization Methods. Paper presented at the European Conference
on Educational Research. Lille, France.
- Ruohotie, P., Nokelainen, P., & Tirri,
H. (2002, April). Visualization
of Growth-oriented Atmosphere. Paper presented at the Annual Meeting
of American Educational Research Association (AERA 2002). New Orleans, USA.
- Ruohotie, P., Nokelainen, P., Tirri, H., &
Silander, T. (1999). Modern Modeling of Professional Growth, vol. 1.
University of Tampere, Research Centre for Vocational Education. Hämeenlinna,
Finland: University of Tampere, Research Centre for Vocational Education.
156 pages.
- Ruohotie, P., Nokelainen, P., Tirri, H., &
Silander, T. (2000). New Perspectives to Study of Student Motivation and Self-Regulated
Learning with Bayesian Network Modeling. ERIC Document Reproduction Service
No.ED457238.
- Ruohotie, P., Nokelainen, P., Tirri, H., &
Silander, T. (2001). Modeling Individual and Organizational Prerequisites
of Professional Growth – Papers presented at International Conferences
1999-2001. Publication D:155. Hämeenlinna, Finland: University of
Tampere, Research Centre for Vocational Education and Häme Polytechnic.
218 pages.