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Implementation and Evaluation of an Adaptive Learning Environment Designed According to Learner Characteristics: A Study on Primary School Social Studies Teaching

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Abstract

In this study, it was aimed to implement and evaluate an adaptive learning environment (ALE) designed according to the learner characteristics of 4th grade primary school students and integrate educational hypermedia environments with face-to-face teaching. Via a preliminary study carried out in accordance with this purpose, the variables that affect the academic achievement of the students in the primary school social studies course were analyzed, and as a result of this analysis, the design, application, and evaluation criteria of ALE were determined. In our study, which was modeled as an embedded-experimental mixed method, quantitative and qualitative data were obtained using different tools. The analysis of the data revealed that the designed learning environment had a positive effect on students' academic achievements, collaborative learning skills, and, partially, independent learning skills, and it was also effective in closing the achievement gap due to learning and cognitive styles.

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Data Availability

The dataset used during the current study is available from the corresponding author upon request.

References

  • Abulla-Ahmet, A. A. (2017). An adaptive educational model for flipped classroom (Publication no. 490287) [Masters’s thesis, Atılım University]. Turkish Counsil of Higher Education Thesis Center.

  • Avella, J. T., Kebritchi, M., Nunn, S. G., & Kanai, T. (2016). Learning analytics methods, benefits, and challenges in higher education: A systematic literature review. Online Learning, 20(2), 13–29.

    Google Scholar 

  • Borich, G. D. (2011). Effective teaching methods. Pearson.

    Google Scholar 

  • Braun, V., & Clarke, V. (2019). Nitel araştırmalarda tematik analizin kullanımı [Using thematic analysis in psychology]. (S. N. Şad, N. Özer, & A. Atli, Trans.). Journal of Qualitative Research in Education, 7(2), 873–898. (Original work published 2006). https://doi.org/10.14689/issn.2148-2624.1.7c.2s.17m

  • Brusilovsky, P. (2001). Adaptive hypermedia: Methods and techniques of adaptive hypermedia. International Journal of User Modeling and User-Adapted Interaction, 11(1/2), 87–110.

    Article  Google Scholar 

  • Brusilovsky, P., & Peylo, C. (2003). Adaptive and intelligent web-based educational systems. International Journal of Artificial Intelligence in Education, 13(2/4), 159–172.

    Google Scholar 

  • Burak, D. (2020). Designing, implementing and evaluating an adaptive learning environment for primary school social studies teaching (Publication no. 656722) [Doctoral dissertation, Anadolu University]. Turkish Counsil of Higher Education Thesis Center.

  • Çelebi, C. (2006). Yapılandırmacılık yaklaşımına dayalı işbirlikli öğrenmenin ilköğretim 5. Sınıf sosyal bilgiler dersinde öğrencilerin erişi ve tutumlarına etkisi [The effect of cooperative learning based on constructivism approach on students’ attitudes in primary school 5th grade social studies lesson. Unpublished Master's Thesis. Konya: Selçuk University, Institute of Social Sciences.]. Unpublished Master’s Thesis. Selçuk University.

  • Ceylan, E., & Berberoğlu, G. (2007). Öğrencilerin fen başarısını açıklayan etmenler: Bir modelleme çalışması [Factors explaining students’ science achievement: A modeling study]. Education and Science, 32(144), 36–48.

    Google Scholar 

  • Chrysafiadi, K., & Virvou, M. (2013). Student modeling approaches: A literature review for the last decade. Expert Systems with Applications, 40(11), 4715–4729.

    Article  Google Scholar 

  • Clement, B. (2018). Adaptive personalization of pedagogical sequences using machine learning. [Unpublished doctoral dissertation]. Université de Bordeaux.

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.

    Google Scholar 

  • Creswell, J. W., & Plano Clark, V. L. (2015). Karma yöntem araştırmaları: Tasarımı ve yürütülmesi (2th edn) [Designing and conducting mixed methods research]. (Y. Dede & S. B. Demir, Trans.). Anı Publishing. (Original work published 2011).

  • De Bra, P., Houben, G. J., & Wu, H. (1999). AHAM: A Dexter-based reference model for adaptive hypermedia. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.623.1010&rep=rep1&type=pdf

  • Dinsmore, D. L., Fryer, L. K., & Parkinson, M. M. (2022). The learning styles hypothesis is false, but there are patterns of student characteristics that are useful. Theory into Practice. https://doi.org/10.1080/00405841.2022.2107333

    Article  Google Scholar 

  • Dolenc, K., & Abersek, B. (2014). TECH8 intelligent and adaptive e-learning system: Integration into technology and science classrooms in lower secondary schools. Computers & Education, 82, 354–365.

    Article  Google Scholar 

  • Dong, C., & Sharma, N. (2015). Flipping the classroom with adaptive learning technology. Medical Teacher, 37(10), 976–976. https://doi.org/10.3109/0142159X.2015.1045846

    Article  PubMed  Google Scholar 

  • Dry, M. J., Due, C., Powell, C., Chur-Hansen, A., & Burns, N. R. (2018). Assessing the utility of an online adaptive learning tool in a large undergraduate psychology course. Psychology Teaching Review, 24(2), 24–37.

    Article  Google Scholar 

  • Felder, R. M., & Silverman, L. K. (1988). Learning and teaching styles in engineering education. Engineering Education, 78(7), 674–681.

    Google Scholar 

  • Feng, M., Cui, W., & Wang, S. (2018). Adaptive learning goes to China. https://www.researchgate.net/publication/325866937_Adaptive_Learning_Goes_to_China/stats

  • Fokides, E., Atsikpasi, P., & Karageorgou, D. (2020). Tablets, plants, and primary school students: A study. Technology, Knowledge and Learning, 25, 621–649. https://doi.org/10.1007/s10758020-09445-7

    Article  Google Scholar 

  • Gallagher, M. A., Parsons, S. A., & Vaughn, M. (2020). Adaptive teaching in mathematics: A review of the literature. Educational Review. https://doi.org/10.1080/00131911.2020.1722065

    Article  Google Scholar 

  • Gültekin, M., & Burak, D. (2019). A content analysis on thesis about adaptive learning language approach in turkey. Journal of Educational Technology Theory and Practice, 9(2), 438–462. https://doi.org/10.17943/etku.528340

    Article  Google Scholar 

  • Gyer, T., & Çebi, A. (2015). Türkiye’deki uyarlanabilir eğitsel hiper ortam çalışmalarına yönelik içerik analizi [Content analysis of studies conducted on adaptive educational hypermedia environments in Turkey]. Eğitim Ve Bilim, 40(178), 61–83. https://doi.org/10.15390/EB.2015.4051

    Article  Google Scholar 

  • Hamada, M., Nishikawa, K., & Brine, J. (2013). A study of a learning style index to support an intelligent and adaptive learning systems. In A. Pena-Ayala (Ed.), Intelligent and adaptive educational-learning systems: Achievements and trends (pp. 109–132). Springer.

    Chapter  Google Scholar 

  • Hoffman, J. V., & Duffy, G. G. (2016). Does thoughtfully adaptive teaching actually exist? A challenge to teacher educators. Theory into Practice, 55(3), 172–179. https://doi.org/10.1080/00405841.2016.1173999

    Article  Google Scholar 

  • Jonassen, D. H., & Grabowski, B. L. (1993). Handbook of individual differences, learning and instruction. Lawrence Erlbaum Associates.

    Google Scholar 

  • Kakish, K., Robertson, C., & Jonassen, L. (2020). Understanding perceptions of conceptual ınformation technology adaptive learning. Easy Chair (Preprint no. 2877). https://easychair.org/publications/preprint/n7ZD

  • Kerr, P. (2016). Adaptive learning. ETL Journal, 70(1), 88–93. https://doi.org/10.1093/elt/ccv055

    Article  Google Scholar 

  • Kline, R. B. (1998). Principles and practice of structural equation modeling. The Guilford Press.

    Google Scholar 

  • Knight, S., & Buckingham-Shum, S. (2017). Theory and learning analytics. In C. Lang, G. Siemens, A. Wise, & D. Gasevic (Eds.), Handbook of learning analytics (pp. 17–22). Society for Learning Analytics Research.

    Chapter  Google Scholar 

  • Kuzgun, Y. (2017). İlgiler [Interests]. In Y. Kuzgun & D. Deryakulu (Eds.), Eğitimde bireysel farklılıklar [Individual differences in education] (4th ed., pp. 71–94). Nobel.

    Google Scholar 

  • Martin, F., Chen, Y., Moore, R. L., & Westine, C. D. (2020). Systematic review of adaptive learning research designs, context, strategies, and technologies from 2009 to 2018. Educational Technology Research and Development. https://doi.org/10.1007/s11423-020-09793-2

    Article  PubMed  PubMed Central  Google Scholar 

  • Martin, F., & Markant, D. (2020). Adaptive learning modules. In M. David & M. Amey (Eds.), The SAGE encyclopedia of higher education (pp. 79–80). SAGE. https://doi.org/10.4135/9781529714395.n31

    Chapter  Google Scholar 

  • Mei, J., Guo, Y., & Li, X. (2017). Adaptive learning mode of a multimedia-based “English Literature” learning system. International Journal of Emerging Technologies in Learning. https://doi.org/10.3991/ijet.v12i01.6483

    Article  Google Scholar 

  • Millis, K., Forsyth, C., Wallace, P., Graesser, A. C., & Timmins, G. (2017). The Impact of game-like features on learning from an intelligent tutoring system. Technology, Knowledge and Learning, 22, 1–22. https://doi.org/10.1007/s10758-016-9289-5

    Article  Google Scholar 

  • Mohamad, S. N. M., Salleh, M. A. M., Hakim, M., Hamid, A., Sui, L. K. M., & Mohd, C. K. N. C. K. (2019). Adaptive learning strategies with gamification to enhance learning engagement. Indian Journal of Science and Technology, 12(31), 1–8. https://doi.org/10.17485/ijst/2019/v12i31/146871

    Article  Google Scholar 

  • Moltudal, S., Høydal, K., & Krumsvik, R. J. (2020). Glimpses into real-life introduction of adaptive learning technology: A mixed methods research approach to personalized pupil learning. Designs for Learning, 12(1), 13–28. https://doi.org/10.16993/dfl.138

    Article  Google Scholar 

  • Mulwa, C., Lawless, S., Sharp, M., Arnedillo-Sanchez, I., & Wade, V. (2010). Adaptive educational hypermedia systems in technology enhanced learning: A literature review. https://doi.org/10.1145/1867651.1867672

  • Ocak, M. A. (Ed.). (2013). Eğitsel dijital oyunlar: Kuram, tasarım ve uygulama [Educational digital games: Theory, design and implementation]. Pegem.

    Google Scholar 

  • Okman-Fişek, G. (1979). Saklı şekiller grup testi [Hidden Figures Group Test]. Boğaziçi University.

  • Oxman, S., & Wong, W. (2014). White paper: Adaptive learning systems. Integrated Education Solutions. https://kenanaonline.com/files/0100/100321/DVxAdaptiveLearningWhitePaper.pdf

  • Öztemel, E. (2018). Eğitimde yeni yönelimlerin değerlendirilmesi ve Eğitim 4.0. [Evaluation of new trends in education and Education 4.0.]. Journal of University Research, 1(1), 25–30.

    Google Scholar 

  • Özyurt, Ö. (2013). The design, implementation and evaluation of an adaptive intelligent web-based mathematics learning environment (Publication no. 344473) Doctoral dissertation, Karadeniz Technical University]. Turkish Counsil of Higher Education Thesis Center.

  • Plass, J. L., & Pawar, S. (2020). Toward a taxonomy of adaptivity for learning. Journal of Research on Technology in Education, 52(3), 275–300. https://doi.org/10.1080/15391523.2020.1719943

    Article  Google Scholar 

  • Premlatha, K. R., Dharani, B., & Geetha, T. V. (2016). Dynamic learner profiling and automatic learner classification for adaptive e-learning environment. Interactive Learning Environments, 24(6), 1054–1075. https://doi.org/10.1080/10494820.2014.948459

    Article  Google Scholar 

  • Puncreobutr, R. (2016). Education 4.0: New challenge of learning. St. Theresa Journal of Humanities and Social Sciences, 2(2), 92–97.

    Google Scholar 

  • Riding, R., & Rayner, S. (2012). Cognitive styles and learning strategies: Understanding style differences in learning and behavior (10th ed.). Routledge.

    Google Scholar 

  • Riechmann, S. W., & Grasha, A. F. (1974). A rational approach to developing and assessing the construct validity of a student learning style scales instrument. The Journal of Psychology, 87(2), 213–223. https://doi.org/10.1080/00223980.1974.9915693

    Article  Google Scholar 

  • Saldana, J. (2019). Nitel araştırmacılar için kodlama el kitabı (3rd edn.) [The coding manual for qualitative researchers]. (A. Tüfekçi-Akcan & S. N. Şad, Trans. Ed.). Pegem. (Original work published 2009).

  • Seefeldt, C., Castle, S., & Falconer, R. C. (2015). Social studies for the preschool/primary child (9th ed.). Pearson.

    Google Scholar 

  • Shute, V. J., & Towle, B. (2003). Adaptive e-learning. Educational Psychologist, 38(2), 105–114. https://doi.org/10.1207/S15326985EP3802_5

    Article  Google Scholar 

  • Şimşek, A. (2017). Önbilgi [Prior knowledge]. In Y. Kuzgun & D. Deryakulu (Eds.), Eğitimde bireysel farklılıklar [Individual differences in education] (4th ed., pp. 137–165). Nobel.

    Google Scholar 

  • Şimşek, N. (2002). BİG 16 öğrenme biçemleri envanteri [BİG16 learning modality inventory]. Eğitim Bilimleri Ve Uygulama, 1(1), 34–47.

    Google Scholar 

  • Smith, K. (2018). Perceptions of preservice teachers about adaptive learning programs in K-8 mathematics education. Contemporary Educational Technology, 9(2), 111–130. https://doi.org/10.30935/cet.414780

    Article  Google Scholar 

  • Somyürek, S. (2009). Adaptive learning environments: A new paradigm in educational hypermedia design. The Journal of Information Technologies, 2(1), 29–38.

    Google Scholar 

  • Sun, Q., Abdourazakou, Y., & Norman, T. J. (2017). LearnSmart, adaptive teaching, and student learning effectiveness: An empirical investigation. Journal of Education for Business, 92(1), 36–43. https://doi.org/10.1080/08832323.2016.1274711

    Article  Google Scholar 

  • Taşpınar, M. (2017). Sosyal bilimlerde SPSS uygulamalı nicel veri analizi [SPSS applied quantitative data analysis in social sciences]. Pegem.

    Google Scholar 

  • Truong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in Human Behavior, 55, 1185–1193.

    Article  Google Scholar 

  • Vandewaetere, M., Desmet, P., & Clarebout, G. (2011). The contribution of learner characteristics in the development of computer-based adaptive learning environments. Computers in Human Behavior, 27(1), 118–130.

    Article  Google Scholar 

  • Vaughn, M. (2019). Adaptive teaching during reading instruction: A multi-case study. Reading Psychology., 40(1), 1–33. https://doi.org/10.1080/02702711.2018.1481478

    Article  MathSciNet  Google Scholar 

  • Webster, B. J., & Fisher, D. L. (2000). Accounting for variation in science and mathematics achievement: A multilevel analysis of Australian data third international mathematics and science study. Scholl Effectiveness and School Improvement, 11, 339–360.

    Article  Google Scholar 

  • Witkin, H. A., Moore, C. A., Goodenough, D., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research, 47(1), 1–64. https://doi.org/10.3102/00346543047001001

    Article  Google Scholar 

  • Zehir-Topkaya, E., & Çelik, H. (2009). Eğitimde bireysel farklılıklar [Review of individual differences in education]. Eğitimde Kuram Ve Uygulama, 5(2), 316–321.

    Google Scholar 

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Acknowledgements

Ethical permission for this study was obtained from the Research Ethics Committee of Anadolu University (Date 27.11.2019, Number 86208).

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Correspondence to Durmus Burak.

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Burak, D., Gultekin, M. Implementation and Evaluation of an Adaptive Learning Environment Designed According to Learner Characteristics: A Study on Primary School Social Studies Teaching. Tech Know Learn 29, 163–196 (2024). https://doi.org/10.1007/s10758-022-09623-9

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