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A current guide to the 3-hour Praxis Computer Science 5652 exam, including 100 selected-response questions, impacts of computing, algorithms, programming, data, systems, networks, and national CS education standards.
Praxis Computer Science 5652 measures the computer science knowledge and competencies needed by beginning secondary teachers. Preparation should reflect the current five-domain ETS blueprint and build fluency with computational thinking, code reasoning, data, systems, networks, and social impacts.
Use these current ETS structure points to organize Computer Science 5652 preparation around the five-domain blueprint.
ETS currently lists 3 hours for Praxis Computer Science 5652.
The test includes 100 selected-response questions, including items where candidates may select one or more answer choices.
Programming is the largest content category at about 30% of the exam, followed by Algorithms and Computational Thinking at about 25%.
ETS says the test is consistent with the K-12 Computer Science Framework, CSTA standards, and ISTE Computational Thinking Competencies.
The current Computer Science 5652 blueprint assigns about 15% to Impacts of Computing, 25% to Algorithms and Computational Thinking, 30% to Programming, 15% to Data, and 15% to Computing Systems and Networks. HiraEdu plans weight programming and algorithms heavily while keeping data, systems, networks, and social impact topics active.
The two largest categories require candidates to reason through program behavior, algorithm design, computational thinking, abstraction, efficiency, correctness, testing, debugging, and data structures. Candidates should practice tracing logic, interpreting code, evaluating algorithm choices, and explaining why a solution works.
ETS frames the test around secondary computer science competencies, including computing systems, networks, data manipulation, code, algorithms, computational thinking, and impacts of computing. Prep should connect content knowledge with the national CS education frameworks referenced by ETS.
Use this Praxis Computer Science (5652) exam help page for exam-specific context, then compare the broader online exam help services page or contact HiraEdu if you need a direct handoff. This page stays focused on Praxis Computer Science (5652) while the linked service pages cover broader exam support options.
Praxis Computer Science 5652 measures the knowledge beginning secondary computer science teachers need. The current ETS Study Companion lists a 3-hour computer-delivered test with 100 selected-response questions. ETS says the test is consistent with recommendations from the K-12 Computer Science Framework, CSTA K-12 Computer Science Standards, and ISTE Computational Thinking Competencies, and that some questions may not count toward the score.
HiraEdu prepares candidates around the five ETS content categories: Impacts of Computing, Algorithms and Computational Thinking, Programming, Data, and Computing Systems and Networks. Prep emphasizes programming and algorithms while also covering data representation and analysis, computing systems, networks, cybersecurity, ethical and social impacts, abstraction, correctness, efficiency, and classroom-ready computational thinking.
The current ETS Study Companion lists 3 hours for Praxis Computer Science 5652.
ETS lists 100 selected-response questions.
The current ETS categories are Impacts of Computing, Algorithms and Computational Thinking, Programming, Data, and Computing Systems and Networks.
Programming is the largest listed category at about 30% of the exam.
ETS says the test is consistent with the K-12 Computer Science Framework, CSTA K-12 Computer Science Standards, and ISTE Computational Thinking Competencies.
Check the candidate's state or program requirement before scheduling because Praxis passing scores and accepted tests vary by jurisdiction.
Build the study calendar around the current ETS weights: 15% impacts, 25% algorithms, 30% programming, 15% data, and 15% systems and networks.
Practice tracing loops, conditionals, functions, variables, data structures, searching, sorting, abstraction, testing, debugging, correctness, and efficiency.
Combine data, cybersecurity, ethics, networks, hardware, software, computing impacts, and standards-aligned computational thinking into mixed timed sets.
Use the guide to self-serve, or talk to a coordinator if you need help mapping timelines, official requirements, or troubleshooting day-of logistics.
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