Approaches to Assess Computational Thinking Competences Based on Code Analysis in K-12 Education: A Systematic Mapping Study
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| Pubblicato in: | Informatics in Education vol. 18, no. 1 (2019), p. 17 |
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| Autore principale: | |
| Altri autori: | , |
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Institute of Mathematics and Informatics
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| Accesso online: | Citation/Abstract Full Text - PDF |
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| 022 | |a 1648-5831 | ||
| 022 | |a 2335-8971 | ||
| 024 | 7 | |a 10.15388/infedu.2019.02 |2 doi | |
| 035 | |a 2225786833 | ||
| 045 | 2 | |b d20190101 |b d20190630 | |
| 084 | |a 122627 |2 nlm | ||
| 100 | 1 | |a Nathalia Da Cruz Alves | |
| 245 | 1 | |a Approaches to Assess Computational Thinking Competences Based on Code Analysis in K-12 Education: A Systematic Mapping Study | |
| 260 | |b Institute of Mathematics and Informatics |c 2019 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a As computing has become an integral part of our world, demand for teaching computational thinking in K-12 has increased. One of its basic competences is programming, often taught by learning activities without a predefined solution using block-based visual programming languages. Automatic assessment tools can support teachers with their assessment and grading as well as guide students throughout their learning process. Although being already widely used in higher education, it remains unclear if such approaches exist for K-12 computing education. Thus, in order to obtain an overview, we performed a systematic mapping study. We identified 14 approaches, focusing on the analysis of the code created by the students inferring computational thinking competencies related to algorithms and programming. However, an evident lack of consensus on the assessment criteria and instructional feedback indicates the need for further research to support a wide application of computing education in K-12 schools. | |
| 653 | |a Mapping | ||
| 653 | |a Algorithms | ||
| 653 | |a Computation | ||
| 653 | |a Computer programming | ||
| 653 | |a Learning | ||
| 653 | |a Visual programming languages | ||
| 653 | |a BASIC (programming language) | ||
| 653 | |a Education | ||
| 653 | |a Programming languages | ||
| 653 | |a Students | ||
| 653 | |a Higher education | ||
| 653 | |a Teaching | ||
| 653 | |a Teachers | ||
| 653 | |a Languages | ||
| 653 | |a Evaluation | ||
| 653 | |a Educational systems | ||
| 653 | |a Feedback | ||
| 653 | |a Educational activities | ||
| 653 | |a Learning Activities | ||
| 653 | |a World Problems | ||
| 653 | |a Competence | ||
| 653 | |a Information Science | ||
| 653 | |a Learning Processes | ||
| 653 | |a Educational Technology | ||
| 653 | |a Grading | ||
| 653 | |a Computer Science | ||
| 653 | |a Electronic Learning | ||
| 653 | |a Educational Assessment | ||
| 653 | |a Elementary Secondary Education | ||
| 653 | |a Summative Evaluation | ||
| 653 | |a Outcomes of Education | ||
| 653 | |a Course Content | ||
| 653 | |a Computer Software | ||
| 653 | |a Performance Based Assessment | ||
| 653 | |a Educational Facilities Improvement | ||
| 700 | 1 | |a Christiane Gresse Von Wangenheim | |
| 700 | 1 | |a Hauck, Jean CR | |
| 773 | 0 | |t Informatics in Education |g vol. 18, no. 1 (2019), p. 17 | |
| 786 | 0 | |d ProQuest |t Library Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2225786833/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2225786833/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |