Developing a Computer Science Content Knowledge Test for 10th Grade Students

被引:2
作者
Bahr, Tobias [1 ]
机构
[1] Univ Stuttgart, Stuttgart, Germany
来源
PROCEEDINGS OF THE 18TH WIPSCE CONFERENCE IN PRIMARY AND SECONDARY COMPUTING EDUCATION RESEARCH, WIPSCE 2023 | 2023年
关键词
Computer Science; Competency; Content Knowledge; Expert Rating;
D O I
10.1145/3605468.3609778
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Computer Science competencies are becoming increasingly important in our current digitised society. To foster students in Computer Science, different countries have introduced subjects with new educational plans based on Computer Science frameworks, such as the K-12 CS Framework and the Informatics Reference Framework for Schools. Those include, in one way or another, four content areas: data and coding (including data structures and their applications), algorithms (involving variables, loops, and software projects), computers and networks (emphasizing the role of computers in a network and data transmission) and information society and data security (covering topics like asymmetric encryption and personal data protection). Various tests have been developed in the field of Computer Science Education for different age groups, primarily at university level for introductory Computer Science courses, and some for upper secondary school level and below, particularly for Computational Thinking. Given the research context, the objective of this study is to develop a set of items that measures the content knowledge in the four aforementioned areas. Specifically, the study focuses on the educational plan of the Computer Science subject called IMP, which is taught from the 8th to the 10th grade in secondary schools in Baden-Wurttemberg, Germany. In total, 155 items were evaluated by experts, resulting in a test consisting of 68 items. This poster abstract presents the ongoing progress of the test development.
引用
收藏
页数:2
相关论文
共 17 条
[1]   How Challenging are Bebras Tasks? An IRT analysis based on the performance of Italian students [J].
Bellettini, Carlo ;
Lonati, Violetta ;
Malchiodi, Dario ;
Monga, Mattia ;
Morpurgo, Anna ;
Torelli, Mauro .
ITICSE'15: PROCEEDINGS OF THE 2015 ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, 2015, :27-32
[2]   Validation of the Placement Skill Inventory: A CS0/CS1 Placement Exam [J].
Bockmon, Ryan ;
Bourke, Chris .
PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023, 2023, :39-45
[3]  
Caspersen M. E., 2022, INFORM REFERENCE FRA
[4]  
Elliott S., 2017, [No title captured], DOI [DOI 10.1787/9789264284395-EN, https://doi.org/10.1787/9789264284395-en]
[5]  
k12CS. org, K- 12 Computer Science Framework
[6]   Beyond Programming: A Computer-Based Assessment of Computational Thinking Competency [J].
Lai, Rina P. Y. .
ACM TRANSACTIONS ON COMPUTING EDUCATION, 2022, 22 (02)
[7]  
Lilley M, 2009, LECT NOTES COMPUT SC, V5613, P140, DOI 10.1007/978-3-642-02583-9_16
[8]  
Ministerium fur Kultus Jugend und Sport Baden Wurttemberg, 2018, Bildungsplan zum Profilfach Informatik, Mathematik, Physik (IMP)
[9]   Measuring student competences in german upper secondary computer science education [J].
Neugebauer, Jonas ;
Hubwieser, Peter ;
Magenheim, Johannes ;
Ohrndorf, Laura ;
Schaper, Niclas ;
Schubert, Sigrid .
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8730 :100-111
[10]  
Parker Miranda C., 2021, Uses, Revisions, and the Future of Validated Assessments in Computing Education: A Case Study of the FCS1 and SCS1, DOI [10.1145/3446871.3469744, DOI 10.1145/3446871.3469744]