Abstract
Due to the rising interest in Computer Science (CS) in primary school, block-based programming languages have gained much significance. Within this article, we provide a first insight of our research into the identification of help needs of primary school children, when they are performing Scratch exercises. A first-in-class distance calculation method has been defined that takes into account the block-based programming languages idiosyncrasy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cavalcanti, A.P., et al.: Supporting teachers through social and emotional learning. In: Computers and Education: Artificial Intelligence, vol. 2, pp. 100027 (2021). ISSN: 2666920X, https://doi.org/10.1016/j.caeai.2021.100027
Cody, C., Maniktala, M., Lytle, N., Chi, M., Barnes, T.: The impact of looking further ahead: a comparison of two data-driven unsolicited hint types on performance in an intelligent data-driven logic tutor. Int. J. Artif. Intell. Educ., 1–34 (2021). https://doi.org/10.1007/s40593-021-00237-3
Chiu, J.-I., Tsuei, M.: Meta-analysis of children’s learning outcomes in block-based programming courses. In: Stephanidis, C., Antona, M., Ntoa, S. (eds.) HCII 2020. CCIS, vol. 1294, pp. 259–266. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60703-6_33
Fagerlund, J., Häkkinen, P., Vesisenaho, M., Viiri, J.: Computational thinking in programming with Scratch in primary schools: a systematic review, In: Computer Applications in Engineering Education, vol. 29, pp. 12–28 (2021). ISSN: 10990542, https://doi.org/10.1002/cae.22255
Fahid, F.M.: Progression trajectory-based student modeling for novice block-based programming, In: UMAP 2021 - Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, pp. 189–200 (2021). ISBN: 9781450383660, https://doi.org/10.1145/3450613.3456833
Howard, N.R.: How Did I Do?: giving learners effective and affective feedback. Education Tech. Research Dev. 69(1), 123–126 (2020). https://doi.org/10.1007/s11423-020-09874-2
Imbernón Cuadrado, L.-E., Manjarrés Riesco, Á., de La Paz López, F.: ARTIE: An integrated environment for the development of affective robot tutors, In: Frontiers in Computational Neuroscience, vol. 10 (2016). https://doi.org/10.3389/fncom.2016.00077
Imbernón Cuadrado, L.-E., Manjarrés Riesco, Á., de la Paz López, F.: FER in primary school children for affective robot tutors. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds.) IWINAC 2019. LNCS, vol. 11487, pp. 461–471. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-19651-6_45
Jiang, B., Li, Z.: Effect of scratch on computational thinking skills of Chinese primary school students. J. Comput. Educ. 8(4), 505–525 (2021). https://doi.org/10.1007/s40692-021-00190-z
Jo, Y., Ju Chun, S., Ryoo, J.: Tactile scratch electronic block system: expanding opportunities for younger children to learn programming. Int. J. Inf. Educ. Technol. 11, 319–323, (2021). ISSN: 20103689, https://doi.org/10.18178/ijiet.2021.11.7.1529
Mlinaric, D., Milasinovic, B., Mornar, V.: Tree inheritance distance. IEEE Access 8, pp. 52489–52504 (2020). ISSN: 21693536, https://doi.org/10.1109/ACCESS.2020.2981260
Obermüller, F., Heuer, U., Fraser, G.: Guiding next-step hint generation using automated tests. In: Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, pp. 220–226 (2021). ISBN: 9781450382144, ISSN: 1942647X, https://doi.org/10.1145/3430665.3456344
Ng, O.-L., Cui, Z.: Examining primary students’ mathematical problem-solving in a programming context: towards computationally enhanced mathematics education. ZDM – Mathematics Education 53(4), 847–860 (2020). https://doi.org/10.1007/s11858-020-01200-7
Sáez López, J.M., Buceta Otero, R., De Lara García-Cervigón, S.: Introducing robotics and block programming in elementary education, In: RIED. Revista Iberoamericana de Educación a Distancia, vol 24, pp. 95 (2020). ISSN: 1138–2783, https://doi.org/10.5944/ried.24.1.27649
Uddin, I., Shariq Imran, A., Muhammad, K., Fayyaz, N., Sajjad, M.: A systematic mapping review on mooc recommender systems. IEEE Access 9, 118379–118405 (2021). ISSN: 21693536, https://doi.org/10.1109/ACCESS.2021.3101039
Wang, J.: Use hopscotch to develop positive attitudes toward programming for elementary school students. Int. J. Comput. Sci. Educ. Sch. 5, 48–58 2021. https://doi.org/10.21585/ijcses.v5i1.122
Yu,W., Yong Kim, I., Mechefske, C.: Analysis of different RNN autoencoder variants for time series classification and machine prognostics, vol. 149. Academic Press (2021). ISSN: 10961216, https://doi.org/10.1016/j.ymssp.2020.107322
Acknowlegements
Grant PID2020-115220RB-C22 funded by MCIN/AEI/10.13039/501100011033 and, as appropriate, by “ERDF A way for making Europe”, by the “European Union” or by the “European Union NextGeneration EU/PRTR”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Imbernón Cuadrado, LE., Manjarrés Riesco, Á., de la Paz López, F. (2022). A First-in-Class Block-Based Programming Language Distance Calculation. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_42
Download citation
DOI: https://doi.org/10.1007/978-3-031-06527-9_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-06526-2
Online ISBN: 978-3-031-06527-9
eBook Packages: Computer ScienceComputer Science (R0)