Understanding of LO Domain Through Its Taxonomies

The aim of this chapter is to introduce and discuss a taxonomy-based framework to understand the CS LO domain in large. I motivate the need of such a framework by the following reasons: (1) LO domain is commonly recognized as the heart of e-learning in general; (2) the LO concept is accepted and its role well understood for teaching CS as well; (3) the LO domain is continuously evolving in horizontal (meaning in general) and vertical dimensions (meaning in CS); and (4) a taxonomy-based approach is fundamental in many aspects (knowledge and artefacts systemizing, standardizing, sharing, gaining and teaching). Here, within the introduced framework, we highlight and consider (to some extent only) the following tasks: (1) concept-based modelling and experimentation using a restricted database of literature sources (about 500) and (2) creation of ontology-based models among those concepts that are most likely relevant to our approach.

[1]  Peng Han,et al.  Generating Interactive Learning Objects from Configurable Samples , 2009, 2009 International Conference on Mobile, Hybrid, and On-line Learning.

[2]  Ann O'Brien,et al.  Learning Objects Update: Review and Critical Approach to Content Aggregation , 2008, J. Educ. Technol. Soc..

[3]  D R Krathwohl,et al.  A REVISION OF BLOOMS TAXONOMY: AN OVERVIEW , 2002 .

[4]  David Wiley,et al.  Learning object design and sequencing theory , 2000 .

[5]  Johannes Sametinger,et al.  Software Engineering with Reusable Components , 1997, Springer Berlin Heidelberg.

[6]  Frans Henskens,et al.  Student-Centered Learning Objects to Support the Self-Regulated Learning of Computer Science , 2012 .

[7]  Albert Sangrà,et al.  Building an inclusive definition of e-learning: An approach to the conceptual framework , 2012 .

[8]  Robertas Damasevicius,et al.  Meta-Programming and Model-Driven Meta-Program Development , 2012, Advanced Information and Knowledge Processing.

[9]  Daniel Churchill,et al.  Towards a useful classification of learning objects , 2007 .

[10]  Robertas Damasevicius,et al.  Development of Generative Learning Objects Using Feature Diagrams and Generative Techniques , 2008, Informatics Educ..

[11]  Qun Jin,et al.  Putting adaptive granularity and rich context into learning objects , 2010, 2010 9th International Conference on Information Technology Based Higher Education and Training (ITHET).

[12]  Victor Adamchik,et al.  A customized learning objects approach to teaching programming , 2003 .

[13]  Evgenios Vlachos,et al.  The Spiral-In Method for Designing and Connecting Learning Objects , 2012, 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems.

[14]  G. Lakoff,et al.  Women, Fire, and Dangerous Things: What Categories Reveal about the Mind , 1988 .

[15]  Janet Salmons,et al.  Taxonomy of Collaborative E-Learning , 2008 .

[16]  Vytautas Stuikys,et al.  Two-Stage Generative Learning Objects , 2012, ICIST.

[17]  R. Burbaite,et al.  Educational robots as collaborative learning objects for teaching Computer Science , 2013, 2013 International Conference on System Science and Engineering (ICSSE).

[18]  John W. Stamey,et al.  Designing intelligent learning objects , 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

[19]  George D. Magoulas,et al.  Intelligent Learning Objects: An Agent Based Approach of Learning Objects , 2004, Intelligent Tutoring Systems.

[20]  Paul Clements,et al.  Fourth DoD Product Line Practice Workshop Report , 2001 .

[21]  Vittorio Marengo,et al.  The OSEL Taxonomy for the Classification of Learning Objects , 2006 .

[22]  A. Tannous,et al.  An Inference Network Model for Retrieving Reusable Learning Objects , 2008, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications.

[23]  Quan Dang,et al.  A Practical Approach to Design and Delivery of Courseware for VLE-based Learning , 2011 .

[24]  Asoke Nath,et al.  E-LEARNING METHODOLOGIES AND ITS TRENDS IN MODERN INFORMATION TECHNOLOGY , 2012 .

[25]  Tom Boyle,et al.  Design principles for authoring dynamic, reusable learning objects , 2003, ASCILITE.

[26]  B. Bloom Taxonomy of educational objectives , 1956 .

[27]  Rory McGreal,et al.  Learning objects: A practical definition , 2004 .

[28]  Camilo Jiménez,et al.  Developing programming skills by using interactive learning objects , 2009, ITiCSE '09.

[29]  Erkki Sutinen,et al.  Special feature article: A Taxonomy for Definitions and Applications of LOs: A Meta-analysis of ICALT papers , 2005, J. Educ. Technol. Soc..

[30]  Vytautas Štuikys,et al.  TOWARDS KNOWLEDGE-BASED GENERATIVE LEARNING OBJECTS , 2015 .

[31]  M. D. Merrill,et al.  Knowledge objects and mental models , 2000, Proceedings International Workshop on Advanced Learning Technologies. IWALT 2000. Advanced Learning Technology: Design and Development Issues.

[32]  Tom Boyle Layered learning design: Towards an integration of learning design and learning object perspectives , 2010, Comput. Educ..

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

[34]  Christian M. Stracke Interoperability and Quality Development in e-Learning: Overview and Reference Model for e-Learning Standards , 2013 .

[35]  Giselher H. J. Redeker An educational taxonomy for learning objects , 2003, Proceedings 3rd IEEE International Conference on Advanced Technologies.

[36]  Bertrand Meyer Testable, reusable units of cognition , 2006, Computer.

[37]  Pithamber R. Polsani,et al.  Use and Abuse of Reusable Learning Objects , 2006, J. Digit. Inf..

[38]  Mike Sosteric,et al.  When is a Learning Object not an Object: A first step towards a theory of learning objects , 2002 .

[39]  D. Krathwohl A Revision of Bloom's Taxonomy: An Overview , 2002 .

[40]  Lorna M. Campbell,et al.  Metadata for learning materials: an overview of existing standards and current developments , 2010 .

[41]  Ion Mierlus-Mazilu Types Of Learning Objects , 2006 .

[42]  Dawn Leeder,et al.  Reusable Learning Objects for Medical Education: Evolving a Multi-institutional Collaboration , 2004 .

[43]  Kyo Chul Kang,et al.  Feature-Oriented Domain Analysis (FODA) Feasibility Study , 1990 .

[44]  Manuel Castañón-Puga,et al.  Adaptive Learning Objects , 2004, IC-AI.