Research Article
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Year 2021, Volume 8, Issue 2, 407 - 420, 01.04.2021
https://doi.org/10.17275/per.21.46.8.2

Abstract

References

  • Ağca, R. K. (2006). The Effects of Different Navigation Structures Based upon Learning Styles on the Success of the Student in Hypermedia Environments. Gazi University Institute of Educational Sciences. Department of Computer and Instructional Technologies. Master's thesis. Ankara.
  • Aşkar, P., & Akkoyunlu, B. (1993). Kolb Learning Style Inventory. Education and Science, 87 (17), 37–47.
  • Brickell, G. (1993). Navigation and learning style. Australlian Journal Of Educational Technology, 9(2), 103–114.
  • Büyüköztürk, Ş. (2018). Manual of data analysis for social sciences. Ankara: Pegem Academy.
  • Büyüköztürk, Ş., Çakmak, E. K., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2018). Scientific Research Methods in Education (25th ed.). Ankara: Pegem Academy.
  • Durdu, L., & Durdu, P. O. (2016). Online Learning Environments. In K. Çağıltay & Y. Göktaş (Eds.), Fundamentals of Instructional Technologies (2nd ed., Pp. 523–525). Ankara: Pegem Academy.
  • Driscoll, M. (2002). Web-Based Training: Creating E-Learning Experiences (2nd ed.). San Francisco: CA: Jossey-Bass/Pfeiffer.
  • Ekici, G. (2003). Lesson Plan Examples for Teaching Based on Learning Style and Biology Lesson. Ankara: Gazi Publishing House.
  • Ergül, H. (2006). Motivation Structures Affecting Academic Achievement in Online Education. The Turkish Online Journal of Educational Technology, 5 (1), 13.124-128.
  • Gencel, İ. E. (2007). The Study of Adapting Kolb's Learning Styles Inventory-III Based on Experiential Learning Theory into Turkish. Dokuz Eylül University Institute of Social Sciences Journal, 9 (2), 120–139.
  • Gudawardena, C. N., & McIsaac, M. S. (2003). Distance education. In D. H. Jonassen (Ed.), Handbook of Reseach on Educational Communications and Technology (2nd Editio). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
  • Hargadon, S. (2009). White Paper on Educational Networking: The important role Web 2.0 will play in education. Retrieved from http://www.elluminate.com
  • Horzum, M. B. (2010). Investigating teachers’ Web 2.0 tools awareness, frequency and purposes of usage in terms of different variables. International Journal of Human Sciences, 7 (1), 603–634.
  • Kolb, D. A. (1999). Learning Style Inventory: Version 3. Boston, MA: Hay/McBer Training Resources Group.
  • Korkmaz, Ö. (2012). A validity and reliability study of the Online Cooperative Learning Attitude Scale (OCLAS). Computer & Education, 59(4), 162–1169. https://doi.org/Doi: 10.1016/j.compedu.2012.05.021
  • Korkmaz, Ö., Çakır, R., & Özden, M. Y. (2015). Investigating teachers’ Web 2.0 tools awareness, frequency and purposes of usage in terms of different variables. Gazi Journal of Educational Sciences, 1 (2), 67–86.
  • Netteland, G. (2003). Improved Quality in Large-Scale Implementations of E-Learning in the Workplace – In Search of Critical Success Factors. The Quality Dialogue: Integrating Quality Cultures in Flexible, Distance and eLearning (s. 108-113). Rhodes, Greece: European Distance Education Network.
  • Numanoğlu, G., & Şen, B. (2007). Learning Styles of Computer Education and Instructional Technology Students. Ahi Evran University Journal of Kırşehir Education Faculty, 8 (2).
  • Özyurt, Ö., & Özyurt, H. (2015). Learning style based individualized adaptive e-learning environments: Content analysis of the articles published from 2005 to 2014. Computers in Human Behavior, 5, 349–358.
  • Phipps, R. A. (2015). Measuring quality in internet-based higher education. International Higher Education, 20, 2–3.
  • Pürbudak, A, Usta, E. (2019). The Effect of Digital Storytelling with Memory Supported Strategy Method on Attitude Towards Foreign Language Course. Gazi Journal of Educational Sciences, 5 (2), 95-114. Retrieved from https://dergipark.org.tr/tr/pub/gebd/issue/47331/558216
  • Riding, R., & Rayner, S. (1998a). Cognitive styles and learning strategies. London: David Fulton Publishers.
  • Riding, R., & Rayner, S. (1998b). Cognitive Styles and learning strategies. London: David Fulton Publishers.
  • Schlosser, L. A., & Simonson, M. (2006). Distance Education: Definition and Glossary of Terms (2. b.). United States of America: IAP-Information Age Publishing, Inc.
  • Stacey, E. (2007). Collaborative learning in an online environment. International Journal of E-Learning & Distance Education, 14(2), 14–33.
  • Triantafillou, E., Pomportsis, A., & Demetriadis, S. (2003). The design and the formative evaluation of an adaptive educational system based on cognitive styles. Computers & Education, 41(1), 87–103.
  • Tuan, H. L., Chin, C. C., & Cheng, S. F. (2005). Investigating the effectiveness of inquiry instruction on the motivation of different learning styles student. International Journal of Science and Mathematics Education, 3(4), 541–566. https://doi.org/10.1007/s10763-004-6827-8
  • Uğur, B., Akkoyunlu, B., & Kurbanoğlu, S. (2011). Students’ opinions on blended learning and its implementation in terms of their learning styles. Education and Information Technologies, 16(1), 5–23. https://doi.org/10.1007/s10639-009-9109-9
  • Uygungül, Ö. (2016). Effect of Creative Drama Method on Students' Attitude towards Social Studies, Academic Achi̇evement and Retention by Learning Styles. Çukurova University Institute of Social Sciences, Adana.
  • Veznedaroğlu, R. L., & Özgür, A. O. (2005). Learning Styles: Definitions, models and functions. İlköğretim Online, 1–16.
  • Wang, Kua Hua, T. H. Wang, W. L. W. (2006). Learning Styles And Formative Strategy: Enhancing Student Achievement in Web-Based Learning. Journal Of Computer Assisted Learning, 22(3), 207–2017.
  • Zhu, C. (2012). Student satisfaction, performance, and knowledge construction in online collaborative learning. S. Educational Technology & Society, 15(1), 127–136.

Collaborative Group Activities in The Context of Learning Styles on Web 2.0 Environments: An Experimental Study

Year 2021, Volume 8, Issue 2, 407 - 420, 01.04.2021
https://doi.org/10.17275/per.21.46.8.2

Abstract

The aim of this research is to determine the learning styles of Web 2.0 based collaborative group activities; to examine the effects on academic achievement, online cooperative learning attitude level, computer thinking skill level. The research was carried out with a quantitative method and a pretest-posttest control group quasi-experimental design was used. Data were collected through Computational Thinking Skill Level scale, Online Cooperative Learning Attitude Scale and academic achievement test. The research was conducted for 10 weeks in the 2019-2020 academic year, within the scope of Information Technologies and Software course, with 83 6th grade students. The experimental group consists of 43 students and the control group consists of 40 students. In the research, one of the learning style theories, Kolb Learning Style model was used. In the experimental group, Web 2.0 based activities developed by the researcher were applied and the experimental group students produced content with Web 2.0 tools. In the control group, the lesson was taught in the way the current program suggested in schools. As a result, a meaningful difference was determined between students' academic achievement scores, online cooperative attitude levels, computer thinking levels and learning styles. According to these variables, the students with the discriminating learning style show the highest success. In addition, as a result of the research, it was determined that there are some features and developments other than the learning style feature in students. Learning environments other than the learning path of the learning style can be provided. Similar studies can be conducted by using the learning style inventory based on different theories.

References

  • Ağca, R. K. (2006). The Effects of Different Navigation Structures Based upon Learning Styles on the Success of the Student in Hypermedia Environments. Gazi University Institute of Educational Sciences. Department of Computer and Instructional Technologies. Master's thesis. Ankara.
  • Aşkar, P., & Akkoyunlu, B. (1993). Kolb Learning Style Inventory. Education and Science, 87 (17), 37–47.
  • Brickell, G. (1993). Navigation and learning style. Australlian Journal Of Educational Technology, 9(2), 103–114.
  • Büyüköztürk, Ş. (2018). Manual of data analysis for social sciences. Ankara: Pegem Academy.
  • Büyüköztürk, Ş., Çakmak, E. K., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2018). Scientific Research Methods in Education (25th ed.). Ankara: Pegem Academy.
  • Durdu, L., & Durdu, P. O. (2016). Online Learning Environments. In K. Çağıltay & Y. Göktaş (Eds.), Fundamentals of Instructional Technologies (2nd ed., Pp. 523–525). Ankara: Pegem Academy.
  • Driscoll, M. (2002). Web-Based Training: Creating E-Learning Experiences (2nd ed.). San Francisco: CA: Jossey-Bass/Pfeiffer.
  • Ekici, G. (2003). Lesson Plan Examples for Teaching Based on Learning Style and Biology Lesson. Ankara: Gazi Publishing House.
  • Ergül, H. (2006). Motivation Structures Affecting Academic Achievement in Online Education. The Turkish Online Journal of Educational Technology, 5 (1), 13.124-128.
  • Gencel, İ. E. (2007). The Study of Adapting Kolb's Learning Styles Inventory-III Based on Experiential Learning Theory into Turkish. Dokuz Eylül University Institute of Social Sciences Journal, 9 (2), 120–139.
  • Gudawardena, C. N., & McIsaac, M. S. (2003). Distance education. In D. H. Jonassen (Ed.), Handbook of Reseach on Educational Communications and Technology (2nd Editio). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
  • Hargadon, S. (2009). White Paper on Educational Networking: The important role Web 2.0 will play in education. Retrieved from http://www.elluminate.com
  • Horzum, M. B. (2010). Investigating teachers’ Web 2.0 tools awareness, frequency and purposes of usage in terms of different variables. International Journal of Human Sciences, 7 (1), 603–634.
  • Kolb, D. A. (1999). Learning Style Inventory: Version 3. Boston, MA: Hay/McBer Training Resources Group.
  • Korkmaz, Ö. (2012). A validity and reliability study of the Online Cooperative Learning Attitude Scale (OCLAS). Computer & Education, 59(4), 162–1169. https://doi.org/Doi: 10.1016/j.compedu.2012.05.021
  • Korkmaz, Ö., Çakır, R., & Özden, M. Y. (2015). Investigating teachers’ Web 2.0 tools awareness, frequency and purposes of usage in terms of different variables. Gazi Journal of Educational Sciences, 1 (2), 67–86.
  • Netteland, G. (2003). Improved Quality in Large-Scale Implementations of E-Learning in the Workplace – In Search of Critical Success Factors. The Quality Dialogue: Integrating Quality Cultures in Flexible, Distance and eLearning (s. 108-113). Rhodes, Greece: European Distance Education Network.
  • Numanoğlu, G., & Şen, B. (2007). Learning Styles of Computer Education and Instructional Technology Students. Ahi Evran University Journal of Kırşehir Education Faculty, 8 (2).
  • Özyurt, Ö., & Özyurt, H. (2015). Learning style based individualized adaptive e-learning environments: Content analysis of the articles published from 2005 to 2014. Computers in Human Behavior, 5, 349–358.
  • Phipps, R. A. (2015). Measuring quality in internet-based higher education. International Higher Education, 20, 2–3.
  • Pürbudak, A, Usta, E. (2019). The Effect of Digital Storytelling with Memory Supported Strategy Method on Attitude Towards Foreign Language Course. Gazi Journal of Educational Sciences, 5 (2), 95-114. Retrieved from https://dergipark.org.tr/tr/pub/gebd/issue/47331/558216
  • Riding, R., & Rayner, S. (1998a). Cognitive styles and learning strategies. London: David Fulton Publishers.
  • Riding, R., & Rayner, S. (1998b). Cognitive Styles and learning strategies. London: David Fulton Publishers.
  • Schlosser, L. A., & Simonson, M. (2006). Distance Education: Definition and Glossary of Terms (2. b.). United States of America: IAP-Information Age Publishing, Inc.
  • Stacey, E. (2007). Collaborative learning in an online environment. International Journal of E-Learning & Distance Education, 14(2), 14–33.
  • Triantafillou, E., Pomportsis, A., & Demetriadis, S. (2003). The design and the formative evaluation of an adaptive educational system based on cognitive styles. Computers & Education, 41(1), 87–103.
  • Tuan, H. L., Chin, C. C., & Cheng, S. F. (2005). Investigating the effectiveness of inquiry instruction on the motivation of different learning styles student. International Journal of Science and Mathematics Education, 3(4), 541–566. https://doi.org/10.1007/s10763-004-6827-8
  • Uğur, B., Akkoyunlu, B., & Kurbanoğlu, S. (2011). Students’ opinions on blended learning and its implementation in terms of their learning styles. Education and Information Technologies, 16(1), 5–23. https://doi.org/10.1007/s10639-009-9109-9
  • Uygungül, Ö. (2016). Effect of Creative Drama Method on Students' Attitude towards Social Studies, Academic Achi̇evement and Retention by Learning Styles. Çukurova University Institute of Social Sciences, Adana.
  • Veznedaroğlu, R. L., & Özgür, A. O. (2005). Learning Styles: Definitions, models and functions. İlköğretim Online, 1–16.
  • Wang, Kua Hua, T. H. Wang, W. L. W. (2006). Learning Styles And Formative Strategy: Enhancing Student Achievement in Web-Based Learning. Journal Of Computer Assisted Learning, 22(3), 207–2017.
  • Zhu, C. (2012). Student satisfaction, performance, and knowledge construction in online collaborative learning. S. Educational Technology & Society, 15(1), 127–136.

Details

Primary Language English
Subjects Education and Educational Research
Journal Section Research Articles
Authors

Ayşegül PÜRBUDAK
ANKARA UNIVERSITY
0000-0001-7064-0263
Türkiye


Ertuğrul USTA (Primary Author)
Necmettin Erbakan üniversitesi
0000-0001-6112-9965
Türkiye

Publication Date April 1, 2021
Published in Issue Year 2021, Volume 8, Issue 2

Cite

APA Pürbudak, A. & Usta, E. (2021). Collaborative Group Activities in The Context of Learning Styles on Web 2.0 Environments: An Experimental Study . Participatory Educational Research , 8 (2) , 407-420 . DOI: 10.17275/per.21.46.8.2