Abstract
Block learning is a useful and efficient way of learning currently used in many learning systems in both pre-university and university environments. Based on the key concept of learning by focusing, this style of learning is based on the progressive way of gaining knowledge and acquiring different types of skills. In this paper we will present a method of assessing learners by indirectly encouraging them to use block-based solving problem strategies by solving tests obtained from a genetic algorithm. After the generation of sequences of blocks that solve the problem is made by using a genetic algorithm, the resulted tests are used to assess learners in order to familiarize them with sequential learning.
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References
Wang, F., Wang, W., Yang, H., Pan, Q.: A novel discrete differential evolution algorithm for computer-aided test-sheet composition problems. In: Information Engineering and Computer Science, ICIECS 2009, Wuhan, 19–20 December, pp. 1–4 (2009)
Rahmani, S., Mousavi, S.M., Kamali, M.J.: Modeling of road-traffic noise with the use of genetic algorithm. Appl. Soft Comput. 11(1), 1008–1013 (2011)
Gama, C.L., Norford, L.K.: A design optimization tool based on a genetic algorithm. Autom. Constr. 11(2), 173–184 (2002)
Blockly-Games - series of educational games that teach programming. https://blockly-games.appspot.com/
Alice - innovative 3D programming environment. http://www.alice.org/index.php
Popescu, D.A., Bold, N., Domsa, O.: Generating assessment tests with restrictions using genetic algorithms. In: ICCA 2016, pp. 696–700 (2016)
Popescu, D.A., Domsa, O., Popescu, I.A.: Determining the degree of similarity of answers given at a test using the editing distance. In: ITHET 2016, pp. 1–4 (2016)
Popescu, D.A., Bold, N., Domsa, O.: A generator of sequences of hierarchical tests which contain specified keywords. In: SACI 2016, pp. 255–260 (2016)
Baron, C., Şerb, A., Iacob, N.M., Defta, C.L.: IT infrastructure model used for implementing an E-learning platform based on distributed databases. Qual. Access to Success J. 15(140), 195–201 (2014)
Gaytan, J., McEwen-Beryl, C.: Effective online instructional and assessment strategies. Am. J. Distance Educ. 21(3), 117–132 (2007)
Popescu, E.: Adaptation provisioning with respect to learning styles in a web-based educational system: an experimental study. J. Comput. Assist. Learn. 26(4), 243–257 (2010)
Mazoue, J.G.: The MOOC Model: Challenging Traditional Education, Educause Review Online January/February (2013). Accessed 2 April 2013
O’Neil, H.F., Perez, R.S.: Web-Based Learning: Theory, Research, and Practice. Routledge, 5 September 2013
Joo, Y.J., Bong, M., Choi, H.J.: Self-efficacy for self-regulated learning, academic self-efficacy, and internet self-efficacy in web-based instruction. Educ. Technol. Res. Develop. 48(2), 5–17 (2000)
Seman, L.O., Hausmann, R., Bezerra, E.A.: On the students’ perceptions of the knowledge formation when submitted to a Project-Based Learning environment using web applications. Comput. Educ. 117, 16–30 (2018). ISSN 0360-1315
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Popescu, D.A., Nijloveanu, D., Bold, N. (2019). Generator of Tests for Learning Check in Case of Courses that Use Learning Blocks. In: Di Mascio, T., et al. Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference. MIS4TEL 2018. Advances in Intelligent Systems and Computing, vol 804. Springer, Cham. https://doi.org/10.1007/978-3-319-98872-6_28
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DOI: https://doi.org/10.1007/978-3-319-98872-6_28
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