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International Journal of Computer & Software Engineering Volume 1 (2016), Article ID 1:IJCSE-110, 10 pages
https://doi.org/10.15344/2456-4451/2016/110
Case Study
Diversity in Subject Content Transfer Styles Improves Software Engineers' Analysis Skills

Maria-Isabel Sanchez-Segura1*, Fuensanta Medina-Dominguez1, Ana Sanz2 and Javier Saldaña3

1Department of Computes Science, Carlos III Technical University, Madrid, Spain
2Softtek, Madrid, Spain
3Ayming, Madrid, Spain
Dr. Maria-Isabel Sanchez-Segura, Department of Computes Science, Carlos III Technical University, Madrid, Spain, Tel: +34916249421; E-mail: misanche@inf.uc3m.es
25 June 2016; 27 December 2016; 27 December 2016
Sanchez-Segura MI, Medina-Dominguez F, Sanz A, Saldaña J (2016) Diversity in Subject Content Transfer Styles Improves Software Engineers' Analysis Skills. Int J Comput Softw Eng 1: 110. doi: https://doi.org/10.15344/2456-4451/2016/110
© 2016 Sanchez-Segura et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

References

  1. Crick RD (2007) Learning How to Learn: The Dynamic Assessment of Learning Power. Curriculum Journal 18: 135-153.
  2. Ching-Hong L ((2010) The comparison of learning effectiveness between traditional face-to-face learning and e-learning among goal-oriented users, 6th International Conference on Multimedia Technology and its Applications (IDC), 255-260.
  3. Bi T (2011) Modern learning theory and u-learning studies, International Conference on e-Education, Entertainment and e-Management (ICEEE), 239-242.
  4. Heywood J (2011)A historical overview of recent developments in the search for a philosophy of engineering education”; Frontiers in Education Conference (FIE), PEEE-1-1-PEEE-14.
  5. Dihua, X (2012) Personalized Learning Path Recommender Based on User Profile Using Social”; Fifth International Symposium on Computational Intelligence and Design (ISCID), 511- 514.
  6. Yarandi M (2012) An adaptive e-learning Decision support system”; 15th International Conference on Interactive Collaborative Learning 1-5.
  7. Chia-Wen T, Pei-Di S, Meng-Chuan T (2011) Developing an appropriate design of blended learning with web-enabled self-regulated learning to enhance students’ learning and thoughts regarding online learning”; Behaviour & Information Technology 30: 261-271.
  8. Kennewell S, Tanner H, Jones S, Beauchamp G (2007) Analysing the use of interactive technology to implement interactive teaching”; Journal of Computer Assisted Learning 24: 61–73.
  9. Felder R, Brent R (2011) Understanding student differences. Journal of Engineering Education 94: 57-72.
  10. Brusilovsky P, Peyl C (2003) Adaptive and intelligent web-based educational systems, International Journal of Artificial Intelligence in Education, 13: 2-4, Special Issue on Adaptive and Intelligent Web-based Educational Systems, 159-172.
  11. Koun-tem S, Yuan-cheng L, Chia-jui Y (2008) A study on learning effect among different learning styles in a Web-based lab of science for elementary school students. Computers & Education 50: 1411-1422.
  12. Ahram T, Karwowski W, Amaba B (2011) Collaborative systems engineering and social-networking approach to design and modeling of smarter products. Behaviour & Information Technology 30: 13-16.
  13. Ruparelia NB (2010) Software development lifecycle models, ACM SIGSOFT Software Engineering Notes 35: 8-13.
  14. Hamill M, Goseva-Popstojanova K (2009) Common Trends in Software Fault and Failure Data”; IEEE Transactions on Software Engineering 35: 484-496.
  15. Kulak D, Guiney E (2004) Use cases: requirements in context, Addison- Wesley Professional.
  16. Larman C, Basili VR (2003) Iterative and incremental developments. A brief history. Computer 36: 47- 56.
  17. Bormida GD, Ponta D, Donzellini G (1997) Methodologies and tools for learning digital electronics”; IEEE Transactions on Education 40: 294-294.
  18. Salovaraa H (2005) Achievement goals and cognitive learning strategies in dynamic context of learning”; Acta Universitatis Ouluensis, Scientiae Rerum Socialum E78.
  19. Vainionpää J (2006) Erilaiset oppijat ja oppimateriaalit verkko-opiskelussa”; (English translation: Different Kinds of Learners and Learning Materials in Web-based Studying) Acta Tamperensis, 1133, Tampereen yliopisto, Tampere.
  20. Akdemir O, Koszalka T (2008) Investigating the relationships among instructional strategies and learning styles in online environments. Computers & Education 50: 1451-146.
  21. Nijhuis J, Segers M, Gijselaers W (2008) The extent of variability in learning strategies and students' perceptions of the learning environment”; Learning and Instruction 18: 121-134.
  22. Schuell TJ (1986) Cognitive conceptions of learning. Review of Educational Research 56: 411-436.
  23. Slavin RE (1990) Cooperative learning: Theory, research, and practice, Englewood Cliffs, NJ: Prentice Hall.
  24. Yarusso L (1992) Constructivism vs. Objectivism. Performance and Instruction Journal 31: 7-9.
  25. O’Loughlin M (1992) Rethinking science education: Beyond Piagetian constructivism toward a sociocultural model of teaching and learning. Journal of Research in Science Teaching 29: 791-820.
  26. Jonassen DH (1993) Thinking technology: Context is everything. Educational Technology 31: 35-37.
  27. Gomez C, Coll C (1994) De qué hablamos cuando hablamos de constructivismo. Cuadernos de Pedagogía.
  28. Matthews BD, Hamby VJ (1995) A comparison of the learning styles of high school and college/university students”; The Clearing House 68: 257-261.
  29. Kettanurak VN, Ramamurthy K, Haseman WD (2001) User attitude as a mediator of learning performance improvement in an interactive multimedia environment: an empirical investigation of the degree of interactivity and learning styles”; International Journal of Human-Computer Studies, 54: 541-583.
  30. Coffield F, Moseley D, Hall E, Ecclestone K (2004) Learning styles and pedagogy in post-16 learning, A systematic and critical review”; Learning and Skills Research Center (LSRC), London, England.
  31. Canfield AA (1992) Canfield learning styles inventory manual, Western Psychological Services, Los Angeles, CA.
  32. Dunn R, Dunn K (1999) The complete guide to the learning styles in service system, Allyn and Bacon.
  33. Kolb DA (1984) Experiential learning: Experience as the source of learning and development”; Englewood Cliffs, NJ: Prentice Hall.
  34. Atkinson G (1991) Kolb’s learning style inventory: A practitioner’s perspective”; Measurement and Evaluation in Counseling and Development 23: 149-161.
  35. LTM - Learning Type Measurement (2004) Discover your learning styles graphically.
  36. Zwanenberg NV, Wilkinson LJ, Anderson A (2000) Felder and Silverman's index of learning styles and Honey and Mumford's learning styles questionnaire: How do they compare and do they predict academic performance?”; Educational Psychology 20 : 365-38.
  37. Honey P, Mumford A (1998) The manual of learning styles, Maidenhead, UK: Peter Honey.
  38. Felde RM, Silverman LK (1998) Learning and teaching styles in engineering education. Engineering Education 78: 674-681.
  39. Keefe JW (1986) Learning style profile; Reston, VA: National Association of Secondary School Principals.
  40. Carver CA, Howard RA, Lane WD (1999) Addressing different learning styles through course hypermedia. IEEE Transactions on Education 42: 33-38.
  41. Blackboard Inc (2008) Blackboard Platforms.
  42. A tutor Group (2008) A tutor Learning Management Tools.
  43. Chamilo Asssociation (2008) Chamilo e-learnig and collaborative software.
  44. Moodle group (2008) Moodle.
  45. Sakai community (2008) Sakai Platform.
  46. Martinez E, Gallego A (2003) Estilos de aprendizaje y e-learning. Hacia un mayor rendimiento academico"; RED: Revista de Educación a Distancia 7: 1-10.
  47. Murrel P, Claxton C (1987) Experiential Learning Theory as a Guide for Effective Teaching”; Counselor Educational and Supervision 27: 4-14.
  48. Dewey J (1986) Experience and Education. The Educational Forum 50: 241-252.
  49. Lewin K (1951) Field Theory in Social Sciences”; New York, Harper and Row Publishers.
  50. Saarikoski L, Salojärvi S, Corso D, Ovcin E (2001) The 3DE: An Environment for the Development of Learner-Oriented Customised Educational Packages”; ITHET, Kumamoto, pp. FC2:21-FC2-26.
  51. Newland JW, Woelf NN (1992) Learning style and academic performance within a group of sophomore Medical students. Academic Medicine 67: 349.
  52. Sobral D (1995) Diagnostic ability of medical students in relation to their learning characteristics and pre-clinical background. Medical education 29: 278-282.
  53. Davies SM, Rutledge CM, Daviesa TC (1997) The impact of student learning styles on interviewing skills and academic performance. Teaching and Learning in Medicine 9: 131-135.
  54. Lynch T, Wowlfl N, Steele D, Hanssen D (1998) Learning Style influences student examination performance”; The American Journal of Surgery 176: 62-66.
  55. Alonso CM, Gallego DJ, Honey P (1999) Los estilos de aprendizaje. Procedimientos de Diagnóstico y Mejora” (4rth ed.); Ediciones Mensajero, Bilbao, Spain.
  56. Carper J (2009) Software Engineering Best Practices: Lessons from Successful Projects in the Top Companies”. MacGraw-Hill.
  57. Duran EB, Costaguta RN (2008) Experiencia de Enseñanza Adaptada al Estilo de Aprendizaje de los Estudiantes en un Curso de Simulación. Formación Universitaria 1: 19-28.
  58. Figueroa N, Zulma C, Méndez P, Rendón J, Guido F (2005) Los Estilos de Aprendizaje y el Desgranamiento Universitario en carreras de Informática”; Primeras Jornadas de Educación en Informática y TICS en Argentina (JEITICS). Buenos Aires, Argentina.
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