Assessment for Attending and Responding Stages of Affective Teaching Goal in Distance Learning Based on Fuzzy Fusion

Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not assess the achievement of Affective Domain teaching goal. If teachers can know the student's affective state through the learning system, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students and analyzes their participation in discussion to evaluate the student's affective state by Fuzzy Integral. Finally, teachers can assess the student's achievement in Affective Domain teaching goal.

[1]  Leslie J. Francis,et al.  Measuring Attitude Towards Science Among Secondary School Students: the affective domain , 1999 .

[2]  Kuo-An Hwang,et al.  A synchronous distance discussion procedure with reinforcement mechanism: Designed for elementary school students to achieve the attending and responding stages of the affective domain teaching goals within a class period , 2008, Comput. Educ..

[3]  Eduardo Guzmán,et al.  Self-assessment in a feasible, adaptive web-based testing system , 2005, IEEE Transactions on Education.

[4]  Robin Mason,et al.  Evaluation Methodologies for Computer Conferencing Applications , 1992 .

[5]  Paul D. Eggen,et al.  Educational Psychology: Classroom Connections , 1992 .

[6]  Kuo-An Hwang,et al.  Attentiveness Assessment in Learning Based on Fuzzy Logic Analysis , 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

[7]  Aureli Soria-Frisch,et al.  Color Seal Extraction from Documents: Robustness through Soft Data Fusion , 2005, EURASIP J. Adv. Signal Process..

[8]  Kuoan Hwang,et al.  Fuzzy fusion for affective state assessment in distance learning based on image detection , 2008, 2008 International Conference on Audio, Language and Image Processing.

[9]  Richard C. Overbaugh.  Research-Based Guidelines for Computer-Based Instruction Development , 1994 .

[10]  Meng Chang Chen,et al.  The Design of a Synchronous Virtual Writing Clinic , 2003, J. Inf. Sci. Eng..

[11]  Andry Rakotonirainy,et al.  Affordable visual driver monitoring system for fatigue and monotony , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[12]  Gary D. Phye,et al.  Handbook of Classroom Assessment: Learning, Achievement, and Adjustment , 1996 .

[13]  Mika Laaksonen,et al.  Using the skin locus to cope with chang-ing illumination conditions in color-based face tracking , 2000 .

[14]  Donna F. Davis,et al.  The Effect of Training Techniques and Personal Characteristics on Training End Users of Information Systems , 1990, J. Manag. Inf. Syst..

[15]  Yi-Shun Wang,et al.  Assessment of learner satisfaction with asynchronous electronic learning systems , 2003, Inf. Manag..

[16]  Linda G. Shapiro,et al.  Computer and Robot Vision , 1991 .