EXPLODE - a new model of exploratory learning environment for neural networks to improve learning outcomes
Апстракт
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are skilled in programming and meets typical challenges in teaching and learning neural networks, related to the lack of prerequisite knowledge in mathematics. By providing such students with a familiar learning environment and allowing them to programmatically experiment with neural networks, the EXPLODE model aims at improving the students' learning outcomes and learning experience. The effectiveness of the model was evaluated in an experimental study with 77 final-year IT students. The results have shown that the students from the experimental group, that is, those who were exposed to the EXPLODE model, scored higher on the knowledge test. Fur...thermore, the perceived learning experience of the experimental group was better than that of the control group. The results have also suggested that the proposed model helps students better understand learning topics that require practical experience and facilitates a deeper understanding of the internal operations of neural networks.
Кључне речи:
simulation / Neural networks / learning environment / exploratory learning / educational technologyИзвор:
Interactive Learning Environments, 2022Издавач:
- Routledge Journals, Taylor & Francis Ltd, Abingdon
Финансирање / пројекти:
- Инфраструктура за електронски подржано учење у Србији (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-47003)
DOI: 10.1080/10494820.2022.2042030
ISSN: 1049-4820
WoS: 000769293100001
Scopus: 2-s2.0-85126655910
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Ševarac, Zoran AU - Jovanović, Jelena AU - Devedžić, Vladan AU - Tomić, Bojan PY - 2022 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2319 AB - The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are skilled in programming and meets typical challenges in teaching and learning neural networks, related to the lack of prerequisite knowledge in mathematics. By providing such students with a familiar learning environment and allowing them to programmatically experiment with neural networks, the EXPLODE model aims at improving the students' learning outcomes and learning experience. The effectiveness of the model was evaluated in an experimental study with 77 final-year IT students. The results have shown that the students from the experimental group, that is, those who were exposed to the EXPLODE model, scored higher on the knowledge test. Furthermore, the perceived learning experience of the experimental group was better than that of the control group. The results have also suggested that the proposed model helps students better understand learning topics that require practical experience and facilitates a deeper understanding of the internal operations of neural networks. PB - Routledge Journals, Taylor & Francis Ltd, Abingdon T2 - Interactive Learning Environments T1 - EXPLODE - a new model of exploratory learning environment for neural networks to improve learning outcomes DO - 10.1080/10494820.2022.2042030 UR - conv_2634 ER -
@article{ author = "Ševarac, Zoran and Jovanović, Jelena and Devedžić, Vladan and Tomić, Bojan", year = "2022", abstract = "The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are skilled in programming and meets typical challenges in teaching and learning neural networks, related to the lack of prerequisite knowledge in mathematics. By providing such students with a familiar learning environment and allowing them to programmatically experiment with neural networks, the EXPLODE model aims at improving the students' learning outcomes and learning experience. The effectiveness of the model was evaluated in an experimental study with 77 final-year IT students. The results have shown that the students from the experimental group, that is, those who were exposed to the EXPLODE model, scored higher on the knowledge test. Furthermore, the perceived learning experience of the experimental group was better than that of the control group. The results have also suggested that the proposed model helps students better understand learning topics that require practical experience and facilitates a deeper understanding of the internal operations of neural networks.", publisher = "Routledge Journals, Taylor & Francis Ltd, Abingdon", journal = "Interactive Learning Environments", title = "EXPLODE - a new model of exploratory learning environment for neural networks to improve learning outcomes", doi = "10.1080/10494820.2022.2042030", url = "conv_2634" }
Ševarac, Z., Jovanović, J., Devedžić, V.,& Tomić, B.. (2022). EXPLODE - a new model of exploratory learning environment for neural networks to improve learning outcomes. in Interactive Learning Environments Routledge Journals, Taylor & Francis Ltd, Abingdon.. https://doi.org/10.1080/10494820.2022.2042030 conv_2634
Ševarac Z, Jovanović J, Devedžić V, Tomić B. EXPLODE - a new model of exploratory learning environment for neural networks to improve learning outcomes. in Interactive Learning Environments. 2022;. doi:10.1080/10494820.2022.2042030 conv_2634 .
Ševarac, Zoran, Jovanović, Jelena, Devedžić, Vladan, Tomić, Bojan, "EXPLODE - a new model of exploratory learning environment for neural networks to improve learning outcomes" in Interactive Learning Environments (2022), https://doi.org/10.1080/10494820.2022.2042030 ., conv_2634 .