Enforcing STEM-Driven CS Education Through Personalisation

Author:

Štuikys Vytautas,Burbaitė Renata

Publisher

Springer Nature Switzerland

Reference72 articles.

1. Arshavsky N, Edmunds J, Mooney K, Thrift B, Wynn L, Center S, Samonte K, Janda L (2014) Race to the top STEM affinity network, 2014, http://cerenc.org/wp-content/uploads/2014/12/FINAL-STEM-final-report-12-4-14.pdf, Accessed 6 February 2019

2. Anderson LW, Krathwohl DR, Airasian P, Cruikshank K, Mayer R, Pintrich P, et al. (2001) A taxonomy for learning, teaching and assessing: A revision of Bloom’s taxonomy, New York, Longman Publishing

3. Atmatzidou S, Demetriadis S (2016) Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences, Robotics and Autonomous Systems, vol. 75, pp. 661–670

4. Aeiad E, Meziane F (2019) An adaptable and personalised E-learning system applied to computer science Programmes design. Education and Information Technologies (2019) 24:1485–1509

5. Ardies J, De Maeyer S, Gijbels D, van Keulen H (2015) Students attitudes towards technology, International Journal Technology Design Education, 25(1), pp. 43–65

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