Blended Learning Evaluation In Higher Education Courses

Although traditional learning was a necessity for centuries and distance learning is sometimes the only way for learning for many learners, the last two decades a supplementary mode to the other modes of learning emerged, the e-learning. However, the last few years, blended learning has dominated as the only mode which combines perfectly the advantages of the other modes of learning. The role of educational content in blended learning is crucial. The key factor to success is high quality educational content, appropriate for learning and able to fulfill course educational aims and objectives. Most of the times it is not an easy task to give feedback to instructors about the online educational content.  However, some course characteristics and students’ actions may reflect the quality and quantity of the educational content. This study evaluates the use of blended learning in TEI of West Macedonia with the use of structured questionnaires exposed to the learners. The learners express their attitude about how useful the blended learning is and how this blended means facilitates their studies. It proposes two variables Richness and Usefulness, taking into account statistics concerning the courses. These variables aim to help course instructors and administrators review course usage and find course weaknesses.

[1]  Feng-Hsu Wang,et al.  On Using Data-Mining Technology for Browsing Log File Analysis in Asynchronous Learning Environment , 2002 .

[2]  Dilek Çetindamar,et al.  E‐learning in a competitive firm setting , 2005 .

[3]  Claus Zinn,et al.  Getting to Know Your Student in Distance Learning Contexts , 2006, EC-TEL.

[4]  Claus Pahl,et al.  Data Mining Technology for the Evaluation of Web-based Teaching and Learning Systems , 2002 .

[5]  Charles R. Graham,et al.  Institutional drivers and barriers to faculty adoption of blended learning in higher education , 2016, Br. J. Educ. Technol..

[6]  Riccardo Mazza,et al.  Introduction to Information Visualization , 2009 .

[7]  Gwo-Jen Hwang,et al.  A novel approach for assisting teachers in analyzing student web-searching behaviors , 2008, Comput. Educ..

[8]  Robert W. Folden General Perspective in Learning Management Systems , 2012 .

[9]  J. Garrison,et al.  Web-based distance continuing education: a new way of thinking for students and instructors. , 2000, Bulletin of the Medical Library Association.

[10]  Sebastián Ventura,et al.  Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors , 2004, User Modeling and User-Adapted Interaction.

[11]  Ernestina Menasalvas Ruiz,et al.  Web Usage Mining Project for Improving Web-Based Learning Sites , 2005, EUROCAST.

[12]  María José del Jesús,et al.  Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data , 2009, Expert Syst. Appl..

[13]  S. Salthe Inside / Outside , 2009, Biosemiotics.

[14]  J. Young "Hybrid" Teaching Seeks To End the Divide between Traditional and Online Instruction. , 2002 .

[15]  Neil T. Heffernan,et al.  Informing Teachers Live about Student Learning: Reporting in Assistment System , 2005 .

[16]  N. Vaughan Blended Learning in Higher Education , 2007 .

[17]  Albert L. Ingram Using Web Server Logs in Evaluating Instructional Web Sites , 1999 .

[18]  Noriko Hara,et al.  Students' Frustrations with a Web-Based Distance Education Course , 1999, First Monday.

[19]  Sebastián Ventura,et al.  An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering , 2009, User Modeling and User-Adapted Interaction.