Evaluation of an adaptive and intelligent educational hypermedia for enhanced individual learning of mathematics: A qualitative study

The purpose of this study is to design a personalized adaptive and intelligent web based tutoring system based on learning style and expert system named UZWEBMAT and to evaluate its effects on 10th grade students' learning of the unit of probability. In the study, initially, learning objects were prepared in three different ways in relation to three sub-learning areas of Visual-Auditory-Kinesthetic (VAK) learning style for each subject of the probability unit. These were appropriate for secondary school mathematics curricula. Then, they were transferred into the digital environment. Each student's dominant learning style determines the content to which s/he will be directed since s/he is directed to the content that is appropriate for his/her learning style. The course to be followed by the students within UZWEBMAT and their browsing around the pages are decided by expert system integrated into the system. This expert system sets the situations in which s/he will get solution supports and the course s/he will follow in accordance with the performance of the student. Hereby, each student may follow a different course, and the solution supports s/he will get may also differ highlighting the individual learning. The sample of the study consists of 81 10th grade students and 3 mathematics teachers from two high schools in Trabzon, Turkey. Qualitative data were obtained both from the teachers and students participating in the study in order to answer the research questions about the implementation and evaluation of UZWEBMAT for mathematics teaching in a high school classroom. Obtained data were analyzed using qualitative data analysis methods. According to the results of the present study, positive opinions of students and teachers such as taking into account the individual learning differences and deriving mathematical relations and formulas through exploration became prominent. In addition, there were also other positive opinions of students and teachers such as providing permanent learning and introducing learning responsibility to the students. In this sense, it was concluded that UZWEBMAT is a beneficial instrument for both students and teachers.

[1]  Tony Fisher,et al.  Real users, real results: examining the limitations of learning styles within AEH , 2007, SIGWEB Newsl..

[2]  Fethi A. Inan,et al.  Perspectives on the Design and Evaluation of Adaptive Web Based Learning Environments , 2010 .

[3]  Adnan Baki,et al.  Evaluation of a web based mathematics teaching material on the subject of functions , 2008, Comput. Educ..

[4]  Alexandra I. Cristea,et al.  Patterns in Authoring of Adaptive Educational Hypermedia: A Taxonomy of Learning Styles , 2005, J. Educ. Technol. Soc..

[5]  Buket Akkoyunlu,et al.  A Study of Student's Perceptions in a Blended Learning Environment Based on Different Learning Styles , 2008, J. Educ. Technol. Soc..

[6]  Erman Yukselturk,et al.  Examining the Factors Affecting Student Dropout in an Online Certificate Program , 2006 .

[7]  Z. Berge.  Active, Interactive, and Reflective eLearning. , 2002 .

[8]  Peter Brusilovsky,et al.  Adaptive and Intelligent Web-based Educational Systems , 2003, Int. J. Artif. Intell. Educ..

[9]  Daesang Kim,et al.  Effects of Text, Audio, and Graphic Aids in Multimedia Instruction for Vocabulary Learning , 2008, J. Educ. Technol. Soc..

[10]  Farhad Saba.  Student Attrition: How To Keep Your Online Learner Focused. , 2000 .

[11]  Tzu-Chien Liu,et al.  Supporting Teachers in Identifying Students' Learning Styles in Learning Management Systems: An Automatic Student Modelling Approach , 2009, J. Educ. Technol. Soc..

[12]  Ali Mustafa,et al.  An approach to Adaptive E-learning Hypermedia System based on Learning Styles (AEHS-LS): Implementation and evaluation , 2011 .

[13]  Beth McGrath,et al.  Partners in Learning: Twelve Ways Technology Changes the Teacher-Student Relationship , 1998 .

[14]  Jens Liegle,et al.  The effect of learning styles on the navigation needs of Web-based learners , 2006, Comput. Hum. Behav..

[15]  Tony Fisher,et al.  Evaluating Learning Style Personalization in Adaptive Systems: Quantitative Methods and Approaches , 2009, IEEE Transactions on Learning Technologies.

[16]  F. Coffield.  Learning styles and pedagogy in post-16 learning: a systematic and critical review , 2004 .

[17]  Chris Panagiotakopoulos,et al.  Student Dropout at the Hellenic Open University: Evaluation of the Graduate Program, "Studies in Education" , 2002 .

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

[19]  Christian Wolf,et al.  iWeaver: Towards 'Learning Style'-based e-Learning in Computer Science Education , 2003, ACE.

[20]  Susan Bull,et al.  Designing learner-controlled educational interactions based on learning/cognitive style and learner behaviour , 2006, Interact. Comput..

[21]  K. Ecclestone,et al.  Learning styles and pedagogy in post-16 learning , 2004 .

[22]  Juan E. Gilbert,et al.  Adapting instruction in search of 'a significant difference' , 1999, J. Netw. Comput. Appl..

[23]  Feng-Hsu Wang,et al.  Content Recommendation Based on Education-Contextualized Browsing Events for Web-based Personalized Learning , 2008, J. Educ. Technol. Soc..

[24]  Norman E. Wallen,et al.  How to Design and Evaluate Research in Education , 1990 .

[25]  Wendy Hall,et al.  ILASH: Incorporating learning strategies in hypermedia , 2003 .

[26]  George D. Magoulas,et al.  INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment , 2001, OHS-7/SC-3/AH-3.

[27]  Lynne Celli Sarasin.  Learning Style Perspectives: Impact in the Classroom , 1998 .

[28]  W. M. Stoker,et al.  Studies in Education. , 1976 .

[29]  Erman Yukselturk,et al.  Examining the Factors Affecting Student Dropout in an Online Learning Environment. , 2006 .

[30]  Gwo-Jen Hwang,et al.  An Object-Oriented Course Framework for Developing Adaptive Learning Systems , 2008, J. Educ. Technol. Soc..

[31]  Andreas Papasalouros,et al.  Designing and Generating Educational Adaptive Hypermedia Applications , 2005, J. Educ. Technol. Soc..

[32]  Robin S. Groff Alarcon.  Distance learning: making connections across virtual space and time , 2002 .

[33]  Peter Brusilovsky,et al.  Adaptive Hypermedia , 2001, User Modeling and User-Adapted Interaction.

[34]  Sebastián Ventura,et al.  Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems , 2009, Comput. Educ..

[35]  Adam Moore,et al.  WHURLE-an adaptive remote learning framework , 2003 .

[36]  Sotirios Botsios,et al.  Contributions to Adaptive Educational Hypermedia Systems via on-line Learning Style Estimation , 2008, J. Educ. Technol. Soc..

[37]  Naser-Nick Manochehr.  The Influence of Learning Styles on Learners in E-Learning Environments: An Empirical Study , 2006 .

[38]  Saïd Assar,et al.  Student Learning Styles Adaptation Method Based on Teaching Strategies and Electronic Media , 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

[39]  Demetrios G. Sampson,et al.  Adaptive Learning Resources Sequencing in Educational Hypermedia Systems , 2005, J. Educ. Technol. Soc..

[40]  Elizabeth J. Brown,et al.  The use of learning styles in adaptive hypermedia , 2007 .

[41]  Panayiotis E. Pintelas,et al.  A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open University , 2002, Comput. Educ..

[42]  A. Pomportsis,et al.  AES-CS: Adaptive Educational System based on Cognitive Styles , 2002 .

[43]  Analía Amandi,et al.  eTeacher: Providing personalized assistance to e-learning students , 2008, Comput. Educ..

[44]  Maria Samarakou,et al.  Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis , 2005, Inf. Sci..

[45]  Demetrius Georgiou,et al.  A learner's style and profile recognition via fuzzy cognitive map , 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

[46]  Peter H Wagschal.  Distance Education Comes to the Academy: But Are We Asking the Right Questions?. , 1998 .