Ontology-Based Design of the Learner’s Knowledge Domain in Electrical Engineering

Abstract This research addresses some personalization aspects of education in electrical engineering. Its goal is to help students and educators evaluate the complexity of the disciplines they have chosen for studying and optimize the order of the learned courses and topics. A new instrument, namely, an educational thesaurus, is presented and its assembling procedure is shown. The offered educational thesauri implemented in the labs and integrated in the exercises have become smart platforms suitable for design and management of the students’ individual knowledge domains. The ontology-based Web manuals in Electronics and Power Electronics for the Bachelor study cycle have been introduced. An example of ontology graph to be applied within the Master study cycle has been developed and explained in the paper. According to the authors’ investigation, the decrease of stress caused by the new educational environment and achievement of success in learning were observed thanks to the individual knowledge domain organization proposed in this study.

[1]  Wendy Hall,et al.  The art of programming , 1987 .

[2]  Valery Vodovozov,et al.  Remote Training with Self-Assessment in Electrical Engineering , 2015 .

[3]  Sabine Hammer,et al.  Fostering questions in class: How to create and maintain a learning environment that encourages students to ask questions , 2018, 2018 IEEE Global Engineering Education Conference (EDUCON).

[4]  Ghada R. El Said,et al.  Exploring the factors affecting MOOC retention: A survey study , 2016, Comput. Educ..

[5]  Jianbo Yu,et al.  Does MOOC really work effectively , 2014, 2014 IEEE International Conference on MOOC, Innovation and Technology in Education (MITE).

[6]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[8]  Steffen Staab,et al.  International Handbooks on Information Systems , 2013 .

[9]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[10]  Edsger W. Dijkstra,et al.  Selected Writings on Computing: A personal Perspective , 1982, Texts and Monographs in Computer Science.

[11]  Stefano Faralli,et al.  OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction , 2013, CL.

[12]  Christian Kay,et al.  Historical thesaurus of the Oxford English dictionary : with additional material from A thesaurus of Old English , 2009 .

[13]  Wentao Wu,et al.  Why Do the MOOC Learners Drop Out of the School? – Based on the Investigation of MOOC Learners on Some Chinese MOOC Platforms , 2018, 2018 1st International Cognitive Cities Conference (IC3).

[14]  Rachida Ajhoun,et al.  Personalization criteria for enhancing learner engagement in MOOC platforms , 2018, 2018 IEEE Global Engineering Education Conference (EDUCON).

[15]  Panagiotis Adamopoulos,et al.  What makes a great MOOC? An interdisciplinary analysis of student retention in online courses , 2013, ICIS.

[16]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[17]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[18]  David Bawden,et al.  Thesaurus Construction and Use: A Practical Manual , 2000 .

[19]  Paola Velardi,et al.  Learning Word-Class Lattices for Definition and Hypernym Extraction , 2010, ACL.

[20]  Martin Ebner,et al.  MOOCs Completion Rates and Possible Methods to Improve Retention - A Literature Review , 2014 .

[21]  Niklaus Wirth,et al.  Algorithms and Data Structures , 1989, Lecture Notes in Computer Science.

[22]  Jerzy Rutkowski,et al.  Effective computer-assisted assessment: Challenges and solutions , 2018, 2018 IEEE Global Engineering Education Conference (EDUCON).

[23]  Prashast Kumar Singh,et al.  MOOCs: A comprehensive study to highlight its strengths and weaknesses , 2015, 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE).