2018
DOI: 10.1016/j.chb.2017.09.030
|View full text |Cite
|
Sign up to set email alerts
|

Extending the nomological network of computational thinking with non-cognitive factors

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

9
54
2
4

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
2
1

Relationship

1
7

Authors

Journals

citations
Cited by 105 publications
(69 citation statements)
references
References 61 publications
9
54
2
4
Order By: Relevance
“…In addition, part of the present study is based on the research shown in [15], where an analysis of the non-cognitive and cognitive abilities that may be developed by CT teaching is carried out. In the conclusions of this study, the personality profile of high and low level computational thinkers is outlined.…”
Section: Methodology: Theoretical Foundationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, part of the present study is based on the research shown in [15], where an analysis of the non-cognitive and cognitive abilities that may be developed by CT teaching is carried out. In the conclusions of this study, the personality profile of high and low level computational thinkers is outlined.…”
Section: Methodology: Theoretical Foundationsmentioning
confidence: 99%
“…The contributions of the present work are fourfold: (i) to develop a methodology to teach robotics and Computational Thinking to students in compulsory secondary education; (ii) to show the application of the methodology and its results for a group of students with high level of apathy and demotivation, and analyse the advantages and drawbacks of the methodology proposed; (iii) to motivate the students with the use of tools to acquire the CT in a friendly and efficient way given their age; and (iv) to analyse the answer to the question "What are the personality profiles of top and low computational thinkers?" proposed in [15], given the real application of the methodology proposed. As far as the authors know, there are no studies about the teaching of robotics and CT dealing with similar student conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Some of the classical modulating variables are gender, age, programming experience, teacher experience, etc. In addition, it would be extremely relevant to include students and teachers' perceptions and attitudes as complementary modulating variables, since it is becoming more evident that noncognitive aspects influence the progression and the results of CT interventions (Román-González et al, 2018). Thus, perceptions and attitudes scales should be incorporated in this kind of RD.…”
Section: A Comprehensive Evaluation Of Computational Thinking Intervementioning
confidence: 99%
“…In other words, CT has made possible to imagine a computational approach for any of the subjects of the curriculum. Finally, CT term has gathered not only cognitive skills, such as decomposition, pattern recognition, abstraction, and algorithmic design, but also noncognitive variables (Román-González, Pérez-González, Moreno-León, & Robles, 2018) and related soft skills such as persistence, self-confidence, tolerance to ambiguity, creativity, and teamwork, among others. In summary, CT term has served as a response to a global phenomenon in which it has become evident that our lives, increasingly mediated by algorithms, need a new set of skills to relate properly with the ubiquitous machines (Rushkoff, 2010;Sadin, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Students' learning initiative, Exam Cram cram, which is not conducive to fully and accurately check the quality of student learning, is not conducive to the basic computer teaching to cultivate the ability of Computational Thinking as the core task [5]. The examination of the programming course should focus on examining the thinking mode and the basic method of the program design of the students using computer to solve the problem, rather than the programming language itself.…”
Section: The Current Situation Of Programming Coursementioning
confidence: 99%