A systematic review of the use of bloom's taxonomy in computer science education

S Masapanta-Carrión… - Proceedings of the 49th …, 2018 - dl.acm.org
Bloom's taxonomy is a model that allows characterizing students' learning achievements. It
is frequently used in computer science education (CSE), but its use is not straightforward …

12 novice programmers and introductory programming

AV Robins - The Cambridge handbook of computing education …, 2019 - books.google.com
One of the central topics in computing education research (CEDR) is the exploration of how
a person learns their first programming language, also described in terms such as …

Automated analysis of exam questions according to Bloom's taxonomy

N Omar, SS Haris, R Hassan, H Arshad… - Procedia-Social and …, 2012 - Elsevier
Bloom's Taxonomy is a classification of learning objectives within education that educators
set for students. The cognitive domain within this taxonomy is designed to verify a student's …

[PDF][PDF] Computing education: An overview of research in the field

T Crick - London: Royal Society, 2017 - core.ac.uk
Background In May 2016 the Royal Society announced it was commissioning a study1,
funded by Google and Microsoft, to understand the challenges faced by educators delivering …

[PDF][PDF] Bloom's taxonomy to improve teaching-learning in introduction to programming

SR Sobral - 2021 - ijiet.org
Students in computer science courses entering higher education begin with computer
thinking and programming languages in a curricular unit (CU) that can be referred to in …

Probing internal assumptions of the revised Bloom's taxonomy

TM Larsen, BH Endo, AT Yee, T Do… - CBE—Life Sciences …, 2022 - Am Soc Cell Biol
Bloom's taxonomy is a classification of learning objectives originally developed for general
educational purposes. The taxonomy was revised to expand beyond cognitive processes …

Comparing strategies for modeling students learning styles through reinforcement learning in adaptive and intelligent educational systems: An experimental analysis

FA Dorça, LV Lima, MA Fernandes… - Expert Systems with …, 2013 - Elsevier
A huge number of studies attest that learning is facilitated if teaching strategies are in
accordance with students learning styles, making the learning process more effective and …

What is hard about teaching machine learning to non-majors? Insights from classifying instructors' learning goals

E Sulmont, E Patitsas, JR Cooperstock - ACM Transactions on …, 2019 - dl.acm.org
Given its societal impacts and applications to numerous fields, machine learning (ML) is an
important topic to understand for many students outside of computer science and statistics …

Simulation-based learning via cisco packet tracer to enhance the teaching of computer networks

J Allison - Proceedings of the 27th ACM Conference on on …, 2022 - dl.acm.org
Teaching and learning computer networks is a crucial part of a computing undergraduates
education. However, it is an abstract topic with theory that can be challenging for students to …

Interactive learning of signal processing through music: making fourier analysis concrete for students

M Müller, B McFee, K Kinnaird - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
In this artaicle, we illustrate how music may serve as a vehicle to support education in signal
processing. Using Fourier analysis as a concrete example, we demonstrate how the music …