User-Centric Profiling on the Basis of Cognitive and Emotional Characteristics: An Empirical Study

In order to clarify whether extending learners' profiles in an adaptive educational system to cognitive and emotional characteristics may have a positive effect on performance, we conducted an empirical study that consists of two subsequent experiments. The human factors that were taken into consideration in the personalization process were cognitive style, visual working memory span, control/speed of processing and anxiety. With the exception of control/speed of processing, matching the instructional style to users' characteristics was revealed to be statistically significant in optimizing their performance (n=219). On the basis of this empirical assessment, this paper argues that individual differences at this intrinsic level are important, and their main effect can be manipulated by taking advantage of adaptive technologies.

[1]  D. Goleman Emotional Intelligence: Why It Can Matter More Than IQ , 1995 .

[2]  Wolfgang Nejdl,et al.  Adaptive Hypermedia and Adaptive Web , 2004, The Practical Handbook of Internet Computing.

[3]  Ken Sinclair,et al.  An empirical appraisal of the effectiveness of adaptive interfaces for instructional systems , 2000, J. Educ. Technol. Soc..

[4]  A. Baddeley The episodic buffer: a new component of working memory? , 2000, Trends in Cognitive Sciences.

[5]  R. Riding,et al.  Cognitive Styles—an overview and integration , 1991 .

[6]  A Demetriou,et al.  The architecture and dynamics of developing mind: experiential structuralism as a frame for unifying cognitive developmental theories. , 1993, Monographs of the Society for Research in Child Development.

[7]  Larry Katz,et al.  Evaluation of the reliability and validity of the cognitive styles analysis , 2004 .

[8]  Jerrell C. Cassady,et al.  Cognitive Test Anxiety and Academic Performance , 2002 .

[9]  R. Sternberg,et al.  Are Cognitive Styles Still in Style , 1997 .

[10]  A. Bandura Self-efficacy. I: V. S. Ramachandran (red.), Encyclopedia of human behavior (vol. s. ). New York: Academic Press. , 1994 .

[11]  George D. Magoulas,et al.  Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE , 2003, User Modeling and User-Adapted Interaction.

[12]  Terri Gullickson,et al.  Encyclopedia of human behavior , 1995 .

[13]  A. Demetriou,et al.  The development of mental processing: efficiency, working memory, and thinking. , 2002, Monographs of the Society for Research in Child Development.

[14]  Jo-Anne LeFevre,et al.  Cognitive load in hypertext reading: A review , 2007, Comput. Hum. Behav..

[15]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[16]  Curtis A. Carver,et al.  Enhancing student learning through hypermedia courseware and incorporation of student learning styles , 1999 .

[17]  N. Smelser International Encyclopedia of Social & Behavioral Sciences , 2001 .

[18]  A. Baddeley The concept of working memory: A view of its current state and probable future development , 1981, Cognition.

[19]  Panagiotis Germanakos,et al.  Capturing essential intrinsic user behaviour values for the design of comprehensive web-based personalized environments , 2008, Comput. Hum. Behav..

[20]  Paul Dan Cristea,et al.  Adaptive Hypermedia System Interoperability: a 'real world' evaluation , 2007, J. Digit. Inf..

[21]  P. Salovey,et al.  Emotional Intelligence and Emotional Responses to Hypothetical and Actual Frustrating Stressors , 2009 .

[22]  C. Spielberger,et al.  Manual for the State-Trait Anxiety Inventory , 1970 .

[23]  D. Schunk,et al.  Self-Efficacy and Academic Motivation , 2002 .

[24]  Juan E. Gilbert,et al.  Arthur: A personalized instructional system , 2002, J. Comput. High. Educ..

[25]  C. Spielberger Manual for the State-Trait Anxiety Inventory (STAI) (Form Y , 1983 .

[26]  A. Halberstadt,et al.  Emotional experience and expression: An issue overview , 1993 .

[27]  Jerrell C. Cassady,et al.  The Influence of Cognitive Test Anxiety across the Learning-Testing Cycle. , 2004 .

[28]  George Spanoudis,et al.  Iv. Results: The Development Of Cognitive Functions , 2002 .

[29]  R H Logie,et al.  Interference with visual short-term memory. , 1990, Acta psychologica.

[30]  Cristina Conati,et al.  User Modeling 2007, 11th International Conference, UM 2007, Corfu, Greece, June 25-29, 2007, Proceedings , 2007, User Modeling.

[31]  John B. Best,et al.  Cognitive psychology, 5th ed. , 1999 .

[32]  Stephen Rayner,et al.  Cognitive Styles and Learning Styles , 2001 .

[33]  Ian J. Deary,et al.  The reliability of Riding’s Cognitive Style Analysis test , 2003 .

[34]  Munindar P. Singh The Practical Handbook of Internet Computing , 2004 .