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Optimizing inquiry-based science education: verifying the learning effectiveness of augmented reality and concept mapping in elementary school

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Abstract

As information technologies are introduced into science education, educators face their impact on teaching and learning. On one hand, educators must appropriately integrate these technologies into the curriculum. On the other hand, they must simultaneously consider the learners' reactions to the technologies. The study investigated the impact of augmented reality (AR) and concept mapping in inquiry-based science education related to insects. AR apps were implemented on mobile devices, incorporating concept mapping to facilitate knowledge organization and acquisition of insects. The sample consisted of 43 elementary school students divided into an experimental group (N = 21) using AR with concept mapping and a control group (N = 22) using AR alone. Both groups were assigned tasks centered on stage and rhinoceros beetles within an inquiry-based learning framework. Results demonstrated the integration of AR and concept mapping significantly improved learning achievement. Furthermore, a lag-sequential analysis was conducted to analyze behavioral patterns, revealing the control group had significantly higher frequency in “reading textbooks” and “problem-solving” compared to the experimental group. This finding suggests that concept maps enable students to access textbooks through a clear visual guide, promoting a more effective understanding of problem goals and reducing effort for reading textbooks and problem-solving during the process.

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References

  1. Arici, F., Yildirim, P., Caliklar, Ş, Yilmaz, R.M.: Research trends in the use of augmented reality in science education: content and bibliometric mapping analysis. Comput. Educ. 142, 103647 (2019). https://doi.org/10.1016/j.compedu.2019.103647

    Article  Google Scholar 

  2. Azuma, R.T.: A survey of augmented reality. Presence Teleoper. Virtual Environ. 6(4), 355–385 (1997). https://doi.org/10.1162/pres.1997.6.4.355

    Article  MATH  Google Scholar 

  3. Bakeman, R., Gottman, J.M.: Observing interaction: An introduction to sequential analysis. Cambridge University Press (1997). https://doi.org/10.1017/CBO9780511527685

    Book  MATH  Google Scholar 

  4. Bardach, L., Klassen, R.M., Durksen, T.L., Rushby, J.V., Bostwick, K.C.P., Sheridan, L.: The power of feedback and reflection: testing an online scenario-based learning intervention for student teachers. Comput. Educ. 169, 104194 (2021). https://doi.org/10.1016/j.compedu.2021.104194

    Article  Google Scholar 

  5. Bybee RW (2015) The BSCS 5E Instructional Model: Creating Teachable Moments. Corwin

  6. Bybee, R.W., Nancy, M.L.: Science for life & living: an elementary school science program from biological sciences curriculum study. Am. Biol. Teach. 52(2), 92–98 (1990). https://doi.org/10.2307/4449042

    Article  MATH  Google Scholar 

  7. Chang, K.-E., Sung, Y.-T., Chen, I.-D.: The effect of concept mapping to enhance text comprehension and summarization. J. Exp. Educ. 71(1), 5–23 (2002). https://doi.org/10.1080/00220970209602054

    Article  MATH  Google Scholar 

  8. Charsky, D., Ressler, W.: “Games are made for fun”: lessons on the effects of concept maps in the classroom use of computer games. Comput. Educ. 56(3), 604–615 (2011). https://doi.org/10.1016/j.compedu.2010.10.001

    Article  MATH  Google Scholar 

  9. Chen, C.-C., Huang, T.-C.: Learning in a u-Museum: developing a context-aware ubiquitous learning environment. Comput. Educ. 59(3), 873–883 (2012). https://doi.org/10.1016/j.compedu.2012.04.003

    Article  MATH  Google Scholar 

  10. Chen, C.-H., Chou, Y.-Y., Huang, C.-Y.: An augmented-reality-based concept map to support mobile learning for science. Asia Pac. Educ. Res. 25(4), 567–578 (2016). https://doi.org/10.1007/s40299-016-0284-3

    Article  MATH  Google Scholar 

  11. Chen, S.-Y., Liu, S.-Y.: Using augmented reality to experiment with elements in a chemistry course. Comput. Human Behav. 111, 106418 (2020). https://doi.org/10.1016/j.chb.2020.106418

    Article  MATH  Google Scholar 

  12. Chiang, T.H.C., Yang, S.J.H., Hwang, G.-J.: Students’ online interactive patterns in augmented reality-based inquiry activities. Comput. Educ. 78, 97–108 (2014). https://doi.org/10.1016/j.compedu.2014.05.006

    Article  MATH  Google Scholar 

  13. Chiou, C.C.: The effect of concept mapping on students’ learning achievements and interests. Innov. Educ. Teach. Int. 45(4), 375–387 (2008). https://doi.org/10.1080/14703290802377240

    Article  MathSciNet  MATH  Google Scholar 

  14. de Jong, T., & van Joolingen, W. R.: Model-facilitated learning. In Handbook of research on educational communications and technology. Citeseer, pp. 457–468, (2008)

  15. Dewey, J.: Experience and education. Free Press (1997)

    MATH  Google Scholar 

  16. Duran, L.B., Duran, E.: The 5E instructional model: a learning cycle approach for inquiry-based science teaching. Sci. Educ. Rev. 3(2), 49–58 (2004)

    MATH  Google Scholar 

  17. Feng, Z., González, V.A., Mutch, C., Amor, R., Rahouti, A., Baghouz, A., Li, N., Cabrera-Guerrero, G.: Towards a customizable immersive virtual reality serious game for earthquake emergency training. Adv. Eng. Inf. 46, 101134 (2020). https://doi.org/10.1016/j.aei.2020.101134

    Article  Google Scholar 

  18. Fidan, M., Tuncel, M.: Integrating augmented reality into problem based learning: the effects on learning achievement and attitude in physics education. Comput. Educ. 142, 103635 (2019). https://doi.org/10.1016/j.compedu.2019.103635

    Article  MATH  Google Scholar 

  19. Harrell, P.E., Kirby, B., Subramaniam, K., Long, C.: Are elementary preservice teachers floating or sinking in their understanding of buoyancy? Int. J. Sci. Math. Educ. 20(2), 299–320 (2022). https://doi.org/10.1007/s10763-021-10160-7

    Article  Google Scholar 

  20. Heinimäki, O.-P., Volet, S., Jones, C., Laakkonen, E., Vauras, M.: Student participatory role profiles in collaborative science learning: relation of within-group configurations of role profiles and achievement. Learn, Cult Social Int. 30, 100539 (2021). https://doi.org/10.1016/j.lcsi.2021.100539

    Article  Google Scholar 

  21. Herbert, V.M., Perry, R.J., LeBlanc, C.A., Haase, K.N., Corey, R.R., Giudice, N.A., Howell, C.: Developing a smartphone app with augmented reality to support virtual learning of nursing students on heart failure. Clin. Simul. Nurs. 54, 77–85 (2021). https://doi.org/10.1016/j.ecns.2021.02.003

    Article  Google Scholar 

  22. Hoeppe, G.: Mediating environments and objects as knowledge infrastructure. Comput. Supported Cooper. Work (CSCW) 28(1), 25–59 (2019). https://doi.org/10.1007/s10606-018-9342-0

    Article  MATH  Google Scholar 

  23. Hsiao, K.-L., Huang, T.-C., Chen, M.-Y., Chiang, N.-T.: Understanding the behavioral intention to play Austronesian learning games: from the perspectives of learning outcome, service quality, and hedonic value. Interact. Learn. Environ. 26(3), 372–385 (2018). https://doi.org/10.1080/10494820.2017.1333011

    Article  MATH  Google Scholar 

  24. Huang, L., Doorman, M., van Joolingen, W.: Inquiry-based learning practices in lower-secondary mathematics education reported by students from China and the Netherlands. Int. J. Sci. Math. Educ. 19(7), 1505–1521 (2021). https://doi.org/10.1007/s10763-020-10122-5

    Article  Google Scholar 

  25. Huang, T.-C.: Do different learning styles make a difference when it comes to creativity? An empirical study. Comput. Human Behav. 100, 252–257 (2019). https://doi.org/10.1016/j.chb.2018.10.003

    Article  MATH  Google Scholar 

  26. Hwang, G.-J., Wu, P.-H., Ke, H.-R.: An interactive concept map approach to supporting mobile learning activities for natural science courses. Comput. Educ. 57(4), 2272–2280 (2011). https://doi.org/10.1016/j.compedu.2011.06.011

    Article  MATH  Google Scholar 

  27. Ifenthaler, D., Seel, N.M.: Model-based reasoning. Comput. Educ. 64, 131–142 (2013). https://doi.org/10.1016/j.compedu.2012.11.014

    Article  MATH  Google Scholar 

  28. Karpicke, J.D., Blunt, J.R.: Retrieval practice produces more learning than elaborative studying with concept mapping. Science 331(6018), 772–775 (2011). https://doi.org/10.1126/science.1199327

    Article  ADS  CAS  PubMed  Google Scholar 

  29. Keselman, A.: Supporting inquiry learning by promoting normative understanding of multivariable causality. J. Res. Sci. Teach. 40(9), 898–921 (2003). https://doi.org/10.1002/tea.10115

    Article  MATH  Google Scholar 

  30. Kumar, V., Gulati, S., Deka, B., Sarma, H.: Teaching and learning crystal structures through virtual reality based systems. Adv. Eng. Inf. 50, 101362 (2021). https://doi.org/10.1016/j.aei.2021.101362

    Article  MATH  Google Scholar 

  31. Kuo, Y.-R., Tuan, H.-L., Chin, C.-C.: Examining low and non-low achievers’ motivation towards science learning under inquiry-based instruction. Int. J. Sci. Math. Educ. 17(5), 845–862 (2019). https://doi.org/10.1007/s10763-018-9908-9

    Article  Google Scholar 

  32. Law, E.L.-C., Heintz, M.: Augmented reality applications for K-12 education: a systematic review from the usability and user experience perspective. Int. J. Child-Comput. Inter. 30, 100321 (2021). https://doi.org/10.1016/j.ijcci.2021.100321

    Article  Google Scholar 

  33. Lechuga, M.T., Ortega-Tudela, J.M., Gómez-Ariza, C.J.: Further evidence that concept mapping is not better than repeated retrieval as a tool for learning from texts. Learn. Instr. 40, 61–68 (2015). https://doi.org/10.1016/j.learninstruc.2015.08.002

    Article  Google Scholar 

  34. Li, F.-Y., Hwang, G.-J., Chen, P.-Y., Lin, Y.-J.: Effects of a concept mapping-based two-tier test strategy on students’ digital game-based learning performances and behavioral patterns. Comput. Educ. 173, 104293 (2021). https://doi.org/10.1016/j.compedu.2021.104293

    Article  MATH  Google Scholar 

  35. Liu, C., Bano, M., Zowghi, D., Kearney, M.: Analysing user reviews of inquiry-based learning apps in science education. Comput. Educ. 164, 104119 (2021). https://doi.org/10.1016/j.compedu.2020.104119

    Article  MATH  Google Scholar 

  36. Lombard, M., Snyder-Duch, J., Bracken, C.C.: Content analysis in mass communication: assessment and reporting of intercoder reliability. Human Commun. Res. 28(4), 587–604 (2002). https://doi.org/10.1111/j.1468-2958.2002.tb00826.x

    Article  MATH  Google Scholar 

  37. Marques, B., Teixeira, A., Silva, S., Alves, J., Dias, P., Santos, B.S.: A critical analysis on remote collaboration mediated by augmented reality: making a case for improved characterization and evaluation of the collaborative process. Comput. Graph. (2021). https://doi.org/10.1016/j.cag.2021.08.006

    Article  MATH  Google Scholar 

  38. Murphy, C., Abu-Tineh, A., Calder, N., Mansour, N.: Teachers and students’ views prior to introducing inquiry-based learning in Qatari science and mathematics classrooms. Teach. Teach. Educ. 104, 103367 (2021). https://doi.org/10.1016/j.tate.2021.103367

    Article  MATH  Google Scholar 

  39. Nawani, J., Kotzebue, L., Rixius, J., Graml, M., Neuhaus, B.J.: Teachers’ use of focus questions in german biology classrooms: a video-based naturalistic study. Int. J. Sci. Math. Educ. 16(8), 1431–1451 (2018). https://doi.org/10.1007/s10763-017-9837-z

    Article  Google Scholar 

  40. Novak, J. D., & Cañas, A. J.: The theory underlying concept maps and how to construct and use them (Technical Report IHMC CmapTools, (2008) Issue. http://cmap.ihmc.us/publications/researchpapers/theorycmaps/theoryunderlyingconceptmaps.bck-11-01-06.htm

  41. Ouyang, F., Hu, Y., Zhang, Y., Guo, Y., Yang, Y.: In-service teachers’ knowledge building during face-to-face collaborative learning. Teach. Teach. Educ. 107, 1034795 (2021). https://doi.org/10.1016/j.tate.2021.103479

    Article  Google Scholar 

  42. Pedaste, M., Mäeots, M., Leijen, Ä., Sarapuu, T.: Improving students’ inquiry skills through reflection and self-regulation scaffolds. Technol. Instr. Cogn. Learn. 9(1–2), 81–95 (2012)

    Google Scholar 

  43. Pedaste, M., Mäeots, M., Siiman, L.A., de Jong, T., van Riesen, S.A.N., Kamp, E.T., Manoli, C.C., Zacharia, Z.C., Tsourlidaki, E.: Phases of inquiry-based learning: definitions and the inquiry cycle. Educ. Res. Revi. 14, 47–61 (2015). https://doi.org/10.1016/j.edurev.2015.02.003

    Article  Google Scholar 

  44. Philippe, S., Souchet, A.D., Lameras, P., Petridis, P., Caporal, J., Coldeboeuf, G., Duzan, H.: Multimodal teaching, learning and training in virtual reality: a review and case study. Virtual Reality Intell. Hardw. 2(5), 421–442 (2020). https://doi.org/10.1016/j.vrih.2020.07.008

    Article  Google Scholar 

  45. Rojas, M., Nussbaum, M., Chiuminatto, P., Guerrero, O., Greiff, S., Krieger, F., Van Der Westhuizen, L.: Assessing collaborative problem-solving skills among elementary school students. Comput. Educ. 175, 104313 (2021). https://doi.org/10.1016/j.compedu.2021.104313

    Article  Google Scholar 

  46. Saidani Neffati, O., Setiawan, R., Jayanthi, P., Vanithamani, S., Sharma, D.K., Regin, R., Mani, D., Sengan, S.: An educational tool for enhanced mobile e-Learning for technical higher education using mobile devices for augmented reality. Microprocess. Microsyst. 83, 104030 (2021). https://doi.org/10.1016/j.micpro.2021.104030

    Article  Google Scholar 

  47. Slieman, T.A., Camarata, T.: Case-based group learning using concept maps to achieve multiple educational objectives and behavioral outcomes. J. Med. Educ. Curric. Dev. 6, 2382120519872510 (2019). https://doi.org/10.1177/2382120519872510

    Article  PubMed  PubMed Central  Google Scholar 

  48. Su, G., Long, T.: Is the text-based cognitive tool more effective than the concept map on improving the pre-service teachers’ argumentation skills? Think Skills Creativ. 41, 100862 (2021). https://doi.org/10.1016/j.tsc.2021.100862

    Article  MATH  Google Scholar 

  49. Sun, C., Shute, V.J., Stewart, A., Yonehiro, J., Duran, N., D’Mello, S.: Towards a generalized competency model of collaborative problem solving. Comput. Educ. 143, 103672 (2020). https://doi.org/10.1016/j.compedu.2019.103672

    Article  Google Scholar 

  50. Theodoropoulos, A., Lepouras, G.: Augmented reality and programming education: a systematic review. Int. J. Child-Comput. Int. 30, 100335 (2021). https://doi.org/10.1016/j.ijcci.2021.100335

    Article  MATH  Google Scholar 

  51. Tsai, M.-J., Wu, A.-H., Bråten, I., Wang, C.-Y.: What do critical reading strategies look like? Eye-tracking and lag sequential analysis reveal attention to data and reasoning when reading conflicting information. Comput. Educ. 187, 104544 (2022). https://doi.org/10.1016/j.compedu.2022.104544

    Article  Google Scholar 

  52. Vallejo-Correa, P., Monsalve-Pulido, J., Tabares-Betancur, M.: A systematic mapping review of context-aware analysis and its approach to mobile learning and ubiquitous learning processes. Comput. Sci. Rev. 39, 100335 (2021). https://doi.org/10.1016/j.cosrev.2020.100335

    Article  Google Scholar 

  53. Wu, H.-K., Lee, S.W.-Y., Chang, H.-Y., Liang, J.-C.: Current status, opportunities and challenges of augmented reality in education. Comput. Educ. 62, 41–49 (2013). https://doi.org/10.1016/j.compedu.2012.10.024

    Article  MATH  Google Scholar 

  54. Yang, T.-C., Chen, S.Y., Hwang, G.-J.: The influences of a two-tier test strategy on student learning: a lag sequential analysis approach. Comput. Educ. 82, 366–377 (2015). https://doi.org/10.1016/j.compedu.2014.11.021

    Article  MATH  Google Scholar 

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  1. Department of Information Management, National Taichung University of Science and Technology, No. 129, Sec. 3, Saming Rd., Taichung, 404, Taiwan, Republic of China

    Hsiu-Mei Huang, Wei-Shen Tai, Tien-Chi Huang & Chun-Yu Lo

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  1. Hsiu-Mei Huang
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  2. Wei-Shen Tai
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Contributions

Hsiu-Mei Huang and Tien-Chi Huang were primarily responsible for composing the main text of the manuscript. Chun-Yu Lo played a key role in carrying out the experimental study and significantly contributed to the analysis of its outcomes. Wei-Shen Tai was instrumental in analyzing the research findings, actively engaged in research discussions, and played a pivotal role in drafting the conclusions. The manuscript was thoroughly reviewed and approved by all the authors.

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Correspondence to Tien-Chi Huang.

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The authors of this study declare no conflicts of interest. The research is based on work supported by the Taiwan Ministry of Science and Technology under Grant No. NSTC 112–2410-H-025-027-MY3.

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Huang, HM., Tai, WS., Huang, TC. et al. Optimizing inquiry-based science education: verifying the learning effectiveness of augmented reality and concept mapping in elementary school. Univ Access Inf Soc (2024). https://doi.org/10.1007/s10209-024-01098-y

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