Abstract
In the context of science education, studies frequently highlight experimental practices employing diverse mobile device sensor interfaces for data collection and analysis. Despite the benefits, there is unclearness on sensor integration within science teaching. This study aims to propose a comprehensive model for understanding the interaction between students and mobile device sensors in science education. The model introduces a nested curricular integration approach, focusing on developing scientific skills through stages like observation, research planning, data processing, evidence analysis, and results communication. It also aligns these processes with three levels of technology presence: readiness, use, and integration. The evaluation revealed substantial positive changes in students’ expectations of enhanced science learning support, their attitudes toward classroom integration, and intentions to utilize the educational resources. Significant improvements were observed in Expectation of Performance, Attitude, and Intention to use. No significant changes were found in Anxiety-related aspects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Sánchez, J.: Aprendizaje Visible, Tecnología Invisible. Dolmen Ediciones (2001)
Sánchez, J.: Integración curricular de TICS conceptos y modelos. Revista Enfoques Educacionales 5(1), 51–65 (2017)
Sánchez, J.: Bases constructivistas para la integración de TICs. Revista Enfoques Educacionales 6(1), 75–89 (2018)
Cope, B., Kalantzis, M.: Multiliteracies: new literacies, learning, pedagogies. Int. J. 4(3), 164–195 (2009)
Gros, B., Kinshuk, Maina, M.: The future of ubiquitous learning: learning designs for emerging pedagogies. In: Gros, B., Kinshuk, Maina, M. (eds.). LNET, vol. 1, pp. 3–271. Springer, Heidelberg (2016)
McQuiggans, S., McQuiggans, J., Sabourin, J., Kosturko, L.: Mobile Learning: A Handbook for Developers, Educators, and Learners. Wiley and SAS Business Series (2015)
Kuhn, J., Vogt, P.: Analyzing spring pendulum phenomena with a smart-phone acceleration sensor. Phys. Teacher 50(8), 504–505 (2012)
Monteiro, M., Cabeza, C., Martí, A.: Acceleration measurements using smartphone sensors: dealing with the equivalence principle. Revista Brasileira de Ensino de Física, 37(1), 1303 (2015)
Monteiro, M., Cabeza, C., Martí, A.: The atwood machine revisited using smartphones. Phys. Teacher 53(6), 373–374 (2015)
Pili, U., Violanda, R., Ceniza, C.: Measurement of g using a magnetic pendulum and a smartphone magnetometer. Phys. Teacher 56(4), 258–325 (2018)
Pili, U., Violanda, R., Ceniza, C.: Measuring a spring constant with a smartphone magnetic field sensor. Phys. Teacher 57(3), 198–199 (2019)
Becker, S., Klein, P., Kuhn, J.: Video analysis on tablet computers to investigate effects of air resistance. Phys. Teacher 54(7), 440–441 (2016)
Kuhn, J., Vogt, P., Hirth, M.: Analyzing the acoustic beat with mobile devices. Phys. Teacher 52(4), 248–249 (2014)
Schwarz, O., Vogt, P., Kuhn, J.: Acoustic measurements of bouncing balls and the determination of gravitational acceleration. Phys. Teacher 51(5), 312 (2013)
Silva-Alé, J.: Determination of gravity acceleration with smartphone ambient light sensor. Phys. Teacher 59(3), 2018 (2021)
Wang, T.H., Lim, K.Y.T., Lavonen, J., Clark-Wilson, A.: Maker-centred science and mathematics education: lenses, scales and contexts. Int. J. Sci. Math. Educ. 17, 1–11 (2019)
Sánchez, J.: Successful IT Curriculum Integration: Concepts and Cases. In: Proceedings of ECIS IT Conference, pp. 7–9 (2003)
UNESCO. Guidelines for ICT in Education Policies and Masterplans. UNESCO (2022)
UNESCO. The International Science and Evidence based Education (ISEE) Assessment: 2.6 Education Technology. UNESCO (2023)
The Organization for Economic Co-operation and Development: OECD Future of Education and Skills 2030 OECD Learning Compass 2030 a Series Of Concept Notes. OECD (2020)
UNESCO: UNESCO ICT Competency Framework for Teachers. UNESCO (2018)
World Economic Forum. Schools of the Future: Defining New Models of Education for the Fourth Industrial Revolution. World Economic Forum (2020)
Livingstone, K.: The Place of Information and Communication Technologies in Curriculum Design and Development. Int. J. Educ. Developm. Inf. Commun. Technol. 15(4) (2019)
UNESCO. Global Education Monitoring Report, 2023: Technology in Education: A Tool on Whose Terms? UNESCO (2023)
Bogiannidis, N., Southcott, J., Gindidis, M.: An exploration of the possible educational opportunities and the challenges at the intersection of the physical and digital worlds occupied by 10–14-year-old students. Smart Learn. Environ. 10(26) (2023)
Jagust, T., Boticki, I., So, H.-J.: A review of research on bridging the gap between formal and informal learning with technology in primary school contexts. J. Comput. Assist. Learn. 34(4), 417–428 (2018)
Rasheed, R., Kamsin, A., Abdullah, N.: Challenges in the online component of blended learning: a systematic review. Comput. Educ. 144, 103701 (2020)
Chen, X., Xie, H., Zou, D., Hwang, G.J.: Application and theory gaps during the rise of artificial intelligence in education. Comput. Educ. 1, 100002 (2020)
Tang, K.Y., Chang, C.Y., Hwang, G.J.: Trends in artificial intelligence-supported e-learning: a systematic review and co-citation network analysis (1998–2019). Interact. Learn. Environ. 1–19 (2021)
Aslan, A., Zhu, C.: Investigating variables predicting Turkish pre-service teachers’ integration of ICT into teaching practices. Br. J. Edu. Technol. 48(2), 552–270 (2016)
Aslan, A., Zhu, C.: Influencing factors and integration of ICT into teaching practices of pre-service and starting teachers. Int. J. Res. Educ. Sci. 2(2), 359–370 (2016)
Suleimen, N.: Appraising the attitude towards information communication technology integration and usage in Kazakhstani higher education curriculum. J. Inf. Technol. Educ. Res. 18(1), 355–378 (2019)
Li, S., Yamaguchi, S., Takada, J.: Understanding factors affecting primary school teachers’ use of ICT for student-centered education in Mongolia 14(1), 103–117 (2018)
Hammou, Y., Elfatihi, M.: Moroccan teachers’ level of ICT integration in secondary EFL classrooms. Int. J. Lang. Literary Stud. 1(3) (2019)
Aksal, F., Gazi, Z.: Examination on ICT integration into special education schools for developing countries. TOJET: The Turkish Onl. J. Educ. Technol. 14(3), 124–130 (2015)
Dong, C., Newman, L.: Ready, steady … pause: integrating ICT into Shanghai preschools. Int. J. Early Years Educ. 24(2), 224–237 (2016)
Xiao, J., Cao, M., Li, X., Hansen, P.: Assessing the effectiveness of the augmented reality courseware for starry sky exploration. Int. J. Distance Educ. Technol. 18(1), 19–35 (2020)
Chun, K.: Pedagogical Innovation Through Mobile Learning Implementation: An Exploratory Study on Teachers’ Extended and Emergent Use of Mobile Learning Systems. ProQuest Dissertations Publishing (2019)
Lai, C.: Trends of mobile learning: a review of the top 100 highly cited papers. Br. J. Educ. Technol. 1–22 (2019)
Laine, T.: Mobile educational augmented reality games: a systematic literature review and two case studies. Computers 7(1), 19 (2018)
Baran, B., Yecan, E., Kaptan, B., Pasayigit, O.: Using augmented reality to teach fifth grade students about electrical circuits. Educ. Inf. Technol. 25, 1371–1385 (2020)
Ozdemir, M., Sahin, C., Arcagok, S., Demir, M.K.: The effect of augmented reality applications in the learning process: a meta-analysis study. Eurasian J. Educ. Res. 18(74) (2018)
Bos, A., et al.: Educational technology and its contributions in students’ focus and attention regarding augmented reality environments and the use of sensors. J. Educ. Comput. Res. 57, 1832–1848 (2019)
Coimbra, M., Cardoso, T., Mateus, A.: Augmented reality: an enhancer for higher education students in math’s learning? Procedia Comput. Sci. 67 (2015)
Guncaga, J., Janiga, R.: Virtual labs and educational software as a tool for more effective teaching STEM subjects. In: The Third International Conference on Computer Science, Computer Engineering, and Education Technologies (2016)
Ewais, A., Troyer, O.: A usability and acceptance evaluation of the use of augmented reality for learning atoms and molecules reaction by primary school female students in Palestine. J. Educ. Comput. Res. 57(7), 1643–1670 (2019)
Donhauser, A., et al.: Making the invisible visible: visualization of the connection between magnetic field, electric current, and Lorentz force with the help of augmented reality. Phys. Teacher 58(6), 438–439 (2020)
Bodensiek, O., Sonntag, D., Wendorff, N., Albuquerque, G., Magnor, M.: Augmenting the fine beam tube: from hybrid measurements to magnetic field visualization. Phys. Teacher 57(4), 262–263 (2019)
Heafner, J.: Astronomical apps for teaching astronomy. Phys. Teacher 57(7), 504–505 (2019)
Lincoln, J.: Augmented reality Moon for astronomy lessons. Phys. Teacher 56(7), 492–493 (2018)
Silva-Alé, J.: Learning volcanism through school projects: a pedagogical design using technology in pandemic context. Revista Saberes Educativos 7, 111–130 (2021)
MacIsaac, D.: NYT virtual tour of CERN’s Large Hadron Collider. Phys. Teacher 57(2), 126 (2019)
MacIsaac, D.: Perseverance: the new Rover on Mars. Phys. Teacher 59(4), 303 (2021)
Lauer, L., et al.: Real-time visualization of electrical circuit schematics: an augmented reality experiment setup to foster representational knowledge in introductory physics education. Phys. Teacher 58(7), 518–519 (2020)
Kapp, S., et al.: Augmenting Kirchhoff’s laws: using augmented reality and smart glasses to enhance conceptual electrical experiments for high school students. Phys. Teacher 57(1), 52–53 (2019)
Chandrakar, M., Bhagat, K., Kumar: Development of an augmented reality-based game for projectile motion. Phys. Teacher 58(9), 668–669 (2020)
Monteiro, M., Cabeza, C., Martí, A.: Acceleration measurements using smartphone sensors: dealing with the equivalence principle. Phys. Teacher 37(1), 1303 (2015)
Silva-Alé, J.: Determination of gravity acceleration with smartphone ambient light sensor. Phys. Teacher 59(3), 218–219 (2021)
Chamizo, J.: Una tipología de los modelos para la enseñanza de las ciencias. Revista Eureka Enseñanza y Divulgación de las Ciencias 7(1), 26–41 (2010)
Chamizo, J.: A new definition of models and modeling in chemistry’s teaching. Sci. Educ. 22(7), 1613–1632 (2011)
Soto, M., Couso, D., López, V., Hernández, M.: Promoviendo la apropiación del modelo de energía en estudiantes de 4º de ESO a través del diseño didáctico. Revista de Educación Científica 1(1) (2017)
Hernández, M., Couso, D., Pintó, R.: Analyzing students’ learning progressions throughout a teaching sequence on acoustic properties of materials with a model-based inquiry approach. J. Sci. Educ. Technol. 24(2–3), 356–377 (2015)
Greca, M., Moreira, M.: Modelos mentales y aprendizaje de física en electricidad y magnetismo. Enseñanza de las ciencias: revista de investigación y experiencias didácticas 16(2) (1998)
Justi, R.: La enseñanza de la ciencia basada en la elaboración de modelos. Enseñanza de las ciencias 24(2), 173–184 (2006)
Schwarz, C., Gwekwerere, Y.: Using a guided inquiry and modeling instructional framework (EIMA) to support preservice K-8 science teaching. Sci. Educ. 91(1), 158–186 (2007)
Couso, D., Garrido, A.: Models and modelling in elementary school pre-service teacher education: why we need both. In: Cognitive and Affective Aspects in Science Education Research. Springer International Publishing 1(3), 245–261 (2017)
Tünnermann, C.: Modelos Educativos y Académicos. Brevarios Universitarios (2008)
Sierra, R.: Técnicas de Investigación Social: Teoría y Ejercicios (2001)
Davis, F.: Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Venkatesh, V., Davis, F.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)
Venkatesh, V., Morris, M., Davis, G., Davis, F.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39, 273–315 (2008)
Fogarty, R.: Ten ways to integrate the curriculum. Educ. Leadersh. 49(2), 61–65 (1991)
Fogarty, R.: The Mindful School: How to Integrate the Curricula: Training Manual. IRI/Skylight Publishing (1993)
Acknowledgments
This work was funded by Chilean National Agency for Research and Development (ANID), Basal Funding for Scientific and Technology Centers of Excellence, project FB0003.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
Disclosure of Interests
The authors have no competing interests to declare that are relevant to the content of this article.
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Alé, J., Sánchez, J. (2024). Mobile Sensor Interfaces for Learning Science. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2024. Lecture Notes in Computer Science, vol 14723. Springer, Cham. https://doi.org/10.1007/978-3-031-61685-3_10
Download citation
DOI: https://doi.org/10.1007/978-3-031-61685-3_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-61684-6
Online ISBN: 978-3-031-61685-3
eBook Packages: Computer ScienceComputer Science (R0)