MTEL Digital Literacy and Computer Science (71) Practice Tests
Prepare for the MTEL Digital Literacy and Computer Science (71): 100 multiple-choice questions, 2 open-response items in 4 hours, covering 5 content areas: Computing and Society (22%), Digital Tools and Collaboration (15%), Computing Systems (14%), Computational Thinking (29%) and Integration of Knowledge and Understanding (20%).
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MTEL Digital Literacy and Computer Science (71): Test at a Glance
Facts as published by the official test program.
The MTEL Digital Literacy and Computer Science (71) test (field 71) has 100 multiple-choice questions, 2 open-response items and 4 hours of testing time, not including the 15-minute tutorial. The passing score is 240.
Its subareas are Computing and Society (22%), Digital Tools and Collaboration (15%), Computing Systems (14%), Computational Thinking (29%), Integration of Knowledge and Understanding (20%). The official study guide lists 13 objectives across them.
Open-response items are written (or, in the world languages, spoken) responses that are scored against the rubrics in the study guide, separately from the multiple-choice items. The percentages in the study guide include them, so a weak open response costs real points.
In round numbers, the subarea weights mean roughly this many of the 102 items: Computing and Society (about 22), Digital Tools and Collaboration (about 15), Computing Systems (about 14), Computational Thinking (about 30), Integration of Knowledge and Understanding (about 20). The study guide calls the percentages approximate, so treat them as a planning guide rather than an exact count.
Passing score: A scaled score of 240 (scale 100 to 300).
MTEL Digital Literacy and Computer Science (71): Exam Blueprint
Content categories and approximate weighting from the official test framework.
1. Computing and Society
22%Objectives 01–03 make up about 22% of the test. They ask you to apply knowledge of safety and security concepts and appropriate digital interactions; apply knowledge of the responsible, ethical, and legal use of technology resources and digital content; apply knowledge of the impacts of technology on society.
- Objective 0001: Apply knowledge of safety and security concepts and appropriate digital interactions. Skills tested: Identify health and safety risks related to using computer devices (e.g., repetitive motion injuries, eye strain); Demonstrate knowledge of threats to the security of devices and networks (e.g., viruses, intrusions, vandalism, phishing); Apply knowledge of practices to prevent and respond appropriately to threats; Demonstrate knowledge of issues related to data privacy, personal privacy and safety, and an informed online identity; Demonstrate knowledge of the effects of and strategies for preventing and managing cyberbullying, online harassment, and negative peer pressure in digital environments.
- Objective 0002: Apply knowledge of the responsible, ethical, and legal use of technology resources and digital content. Skills tested: Demonstrate knowledge of the responsible use of technology and the ethical and legal implications of malicious hacking and software piracy; Demonstrate knowledge of laws (e.g., CIPA, COPPA, FERPA) related to digital tools and resources and their impact on digital privacy, security, intellectual property, network access, and contracts; Demonstrate knowledge of safe and appropriate practices for using technology (e.g., avoiding potential risks/dangers associated with forms of online communication, issues associated with cyberbullying); Apply knowledge of laws related to intellectual property (e.g., pertaining to copyright, fair use, open-source content, Creative Commons®); Apply knowledge of open-source licensing, licensing agreements, and application permissions.
- Objective 0003: Apply knowledge of the impacts of technology on society. Skills tested: Demonstrate knowledge of the digital divide (e.g., geographic, political, socioeconomic), impacts of the digital divide, and ways to create greater equity in access and skills related to technology; Demonstrate knowledge of the impact of computing technology on society (e.g., business and commerce, health care, engineering, the arts and sciences); Demonstrate knowledge of characteristics, functions, and uses of assistive technology designed to meet the needs of diverse learners; Analyze the beneficial and harmful effects of computing innovations and major trends in technology (e.g., social networking, global access to information, delivery of news and other public media, intercultural communication); Demonstrate knowledge of values, points of view, bias, distortion, and misrepresentation in information sources and strategies for evaluating online content.
2. Digital Tools and Collaboration
15%Objectives 04–05 make up about 15% of the test. They ask you to apply knowledge of the use of digital tools and resources to create content, communicate, and collaborate; apply knowledge of digital tools and techniques for conducting research.
- Objective 0004: Apply knowledge of the use of digital tools and resources to create content, communicate, and collaborate. Skills tested: Demonstrate knowledge of tools and resources that facilitate communication and collaboration; Demonstrate knowledge of the characteristics, functions, and uses of a variety of digital devices; Apply knowledge of the characteristics, functions, and uses of productivity software (e.g., word processing, spreadsheet, database); Apply knowledge of the characteristics, functions, and uses of a variety of file types (e.g., image, video, text, PDF, executable); Apply knowledge of the characteristics, functions, and uses of tools for creating online content (e.g., digital portfolios, multimedia presentations, blogs, Web pages, simulations, surveys); Demonstrate knowledge of appropriate and responsible practices when participating and collaborating in online communities using digital tools.
- Objective 0005: Apply knowledge of digital tools and techniques for conducting research. Skills tested: Demonstrate knowledge of advanced search techniques to locate information using a variety of digital sources and data-collection approaches to gather original data (e.g., qualitative interviews, surveys, simulations); Demonstrate knowledge of digital tools and techniques for evaluating and prioritizing research questions, organizing and analyzing information (e.g., quoting, paraphrasing, summarizing), and communicating results and conclusions; Apply knowledge of concepts related to reliability, relevancy, authority, accuracy, point of view, and purpose to digital information; Apply knowledge of the proper use and citation of text and nontext sources (e.g., images, audio, video).
3. Computing Systems
14%Objectives 06–07 make up about 14% of the test. They ask you to apply knowledge of characteristics, functions, and uses of computing devices and components; apply knowledge of characteristics, functions, and uses of networks and services.
- Objective 0006: Apply knowledge of characteristics, functions, and uses of computing devices and components. Skills tested: Demonstrate knowledge of the functions, characteristics, and uses of operating system software and utility programs to manage and allocate shared resources (e.g., memory, resource allocation, defragmentation); Demonstrate understanding of the characteristics and functions of the main hardware of a basic computing device; Apply knowledge of strategies for identifying and solving routine hardware and software problems that occur in everyday life (e.g., basic troubleshooting, updating software, virus scanning); Demonstrate knowledge of the characteristics, functions, and uses of a variety of computing devices used to accomplish real-world tasks (e.g., probe, sensor, Global Positioning System [GPS], robots); Demonstrate knowledge of the historical rate of change in computing devices (e.g., with regard to power/energy, computation capacity, speed, size, ease of use) and the implications of this change for the future of society; Demonstrate knowledge of how specialized computing devices can be used for problem solving, decision making, and promoting creativity in all subject areas; Demonstrate knowledge of how humans and machines interact to solve problems.
- Objective 0007: Apply knowledge of characteristics, functions, and uses of networks and services. Skills tested: Demonstrate knowledge of concepts and terminology related to networks, including the Internet, and issues that affect network functionality (e.g., latency, bandwidth, firewalls, server capability); Demonstrate knowledge of common network vulnerabilities (e.g., cyberattacks, identity theft, privacy) and strategies for responding to these threats; Demonstrate understanding of characteristics and functions of physical (wired), local and wide area, wireless, and mobile networks; Demonstrate knowledge of network topologies and protocols for data transmission and how digital information is transferred across a network; Demonstrate knowledge of the characteristics and functions of networks and network components (e.g., devices, routers, switches, cables, wires, transponders); Demonstrate knowledge of services related to computing devices (e.g., cloud data storage, subscription services, location services, data mining) and of concepts related to quality of service (e.g., security, availability, performance) for service providers.
4. Computational Thinking
29%Objectives 08–11 make up about 29% of the test. They ask you to apply concepts related to abstraction and algorithms; apply concepts related to data representation, modeling, and simulation; apply concepts related to computer programming, and more.
- Objective 0008: Apply concepts related to abstraction and algorithms. Skills tested: Demonstrate knowledge of the concepts of abstraction and the creation of new representations through generalization and decomposition in problem-solving contexts (e.g., algorithmic abstraction, data abstraction); Demonstrate knowledge of concepts related to iterative and recursive algorithms (e.g., sequence, selection, iteration, modularization, reusability); Apply knowledge of how to represent algorithms in a variety of ways (e.g., flowcharts, pseudocode), realizing that there are some problems that cannot be computationally solved; Analyze algorithms represented in a variety of formats to predict outcomes and to identify and correct errors; Select an appropriate algorithm to perform a given task; Demonstrate knowledge of methods to determine how well an algorithm performs a given task.
- Objective 0009: Apply concepts related to data representation, modeling, and simulation. Skills tested: Demonstrate knowledge of how numbers, text, and data can be represented in a variety of ways (e.g., binary, hexadecimal, ASCII); Demonstrate knowledge of concepts related to file types (e.g., .txt, .jpg, .wav) and of file storage and sharing (e.g., compression, cloud storage, synchronization); Apply knowledge of databases (e.g., relational, multidimensional) to organize, search, analyze, and display data; Apply knowledge of data technologies (e.g., probes, geographic mapping, artificial intelligence, data mining) and how they are used to collect, organize, analyze, and report findings; Demonstrate knowledge of the creation and use of models and simulations in real-world and problem-solving contexts.
- Objective 0010: Apply concepts related to computer programming. Skills tested: Apply knowledge of variables and data types (e.g., integer, real, string) for representing information; Apply knowledge of expressions (e.g., arithmetic, Boolean, string), operators (e.g., assignment, concatenation, comparison), and operator precedence; Apply knowledge of conditional structures (e.g., if-then, if-then-else) to control the flow of a program; Apply knowledge of looping structures (e.g., for, while, recursion); Apply knowledge of functions (e.g., parameters, values); Demonstrate knowledge of the characteristics and uses of data structures (e.g., records, lists, multidimensional data structures).
- Objective 0011: Apply concepts related to program development and testing. Skills tested: Demonstrate knowledge of programming concepts (e.g., event-driven functions, modularization, global and local variables, high- versus low-level programming languages, apps for devices); Demonstrate knowledge of concepts related to object-oriented programming (e.g., classes, objects, encapsulation, inheritance); Demonstrate knowledge of the iterative design process and of trade-offs among multiple approaches to solving a given problem (e.g., space/time performance, maintainability, correctness, elegance); Apply knowledge of code reuse, libraries and application programming interfaces (APIs), version control systems, and integrated development environments (IDEs); Demonstrate knowledge of issues related to program correctness, efficiency, portability, and scalability; Demonstrate knowledge of testing and debugging methods; Demonstrate knowledge of program documentation.
5. Integration of Knowledge and Understanding
20%Objectives 12, 13 make up about 20% of the test. They ask you to prepare an organized, developed analysis on a topic related to the use of digital tools to create an artifact; prepare an organized, developed analysis on a topic related to computer science. Digital Tools 10%; Computer Science 10%.
- Objective 0012: Prepare an organized, developed analysis on a topic related to the use of digital tools to create an artifact. Skills tested: Write a brief plan describing the steps needed for creating a digital artifact to meet a given set of project requirements; Describe the computational tools and skills needed to implement the steps for creating the artifact; Describe issues related to the safe and ethical use of technology in the creation of this digital artifact.
- Objective 0013: Prepare an organized, developed analysis on a topic related to computer science. Skills tested: Given a computational problem, apply knowledge of computational thinking and the program development process to create a plan for solving the problem; Develop an algorithm for a program in pseudocode that involves data types and data structures, conditional and looping structures, functions, and/or libraries, as appropriate; Describe how the program should be documented and identify a method for testing and debugging the program.
Study Guide by Content Category
Use this section to plan your study time. Each topic comes from the official content categories for MTEL Digital Literacy and Computer Science (71).
Category 1 · Computing and Society
About 22% of the exam- Apply knowledge of safety and security concepts and appropriate digital interactions. Review Identify health and safety risks related to using computer devices (e.g., repetitive motion injuries, eye strain); Demonstrate knowledge of threats to the security of devices and networks (e.g., viruses, intrusions, vandalism, phishing); Apply knowledge of practices to prevent and respond appropriately to threats; Demonstrate knowledge of issues related to data privacy, personal privacy and safety, and an informed online identity; Demonstrate knowledge of the effects of and strategies for preventing and managing cyberbullying, online harassment, and negative peer pressure in digital environments.
- Apply knowledge of the responsible, ethical, and legal use of technology resources and digital content. Review Demonstrate knowledge of the responsible use of technology and the ethical and legal implications of malicious hacking and software piracy; Demonstrate knowledge of laws (e.g., CIPA, COPPA, FERPA) related to digital tools and resources and their impact on digital privacy, security, intellectual property, network access, and contracts; Demonstrate knowledge of safe and appropriate practices for using technology (e.g., avoiding potential risks/dangers associated with forms of online communication, issues associated with cyberbullying); Apply knowledge of laws related to intellectual property (e.g., pertaining to copyright, fair use, open-source content, Creative Commons®); Apply knowledge of open-source licensing, licensing agreements, and application permissions.
- Apply knowledge of the impacts of technology on society. Review Demonstrate knowledge of the digital divide (e.g., geographic, political, socioeconomic), impacts of the digital divide, and ways to create greater equity in access and skills related to technology; Demonstrate knowledge of the impact of computing technology on society (e.g., business and commerce, health care, engineering, the arts and sciences); Demonstrate knowledge of characteristics, functions, and uses of assistive technology designed to meet the needs of diverse learners; Analyze the beneficial and harmful effects of computing innovations and major trends in technology (e.g., social networking, global access to information, delivery of news and other public media, intercultural communication); Demonstrate knowledge of values, points of view, bias, distortion, and misrepresentation in information sources and strategies for evaluating online content.
Category 2 · Digital Tools and Collaboration
About 15% of the exam- Apply knowledge of the use of digital tools and resources to create content, communicate, and collaborate. Review Demonstrate knowledge of tools and resources that facilitate communication and collaboration; Demonstrate knowledge of the characteristics, functions, and uses of a variety of digital devices; Apply knowledge of the characteristics, functions, and uses of productivity software (e.g., word processing, spreadsheet, database).
- apply knowledge of the use of digital tools and resources to create content, communicate, and collaborate, continued. Also review Apply knowledge of the characteristics, functions, and uses of a variety of file types (e.g., image, video, text, PDF, executable); Apply knowledge of the characteristics, functions, and uses of tools for creating online content (e.g., digital portfolios, multimedia presentations, blogs, Web pages, simulations, surveys); Demonstrate knowledge of appropriate and responsible practices when participating and collaborating in online communities using digital tools.
- Apply knowledge of digital tools and techniques for conducting research. Review Demonstrate knowledge of advanced search techniques to locate information using a variety of digital sources and data-collection approaches to gather original data (e.g., qualitative interviews, surveys, simulations); Demonstrate knowledge of digital tools and techniques for evaluating and prioritizing research questions, organizing and analyzing information (e.g., quoting, paraphrasing, summarizing), and communicating results and conclusions; Apply knowledge of concepts related to reliability, relevancy, authority, accuracy, point of view, and purpose to digital information.
- apply knowledge of digital tools and techniques for conducting research, continued. Also review Apply knowledge of the proper use and citation of text and nontext sources (e.g., images, audio, video).
Category 3 · Computing Systems
About 14% of the exam- Apply knowledge of characteristics, functions, and uses of computing devices and components. Review Demonstrate knowledge of the functions, characteristics, and uses of operating system software and utility programs to manage and allocate shared resources (e.g., memory, resource allocation, defragmentation); Demonstrate understanding of the characteristics and functions of the main hardware of a basic computing device; Apply knowledge of strategies for identifying and solving routine hardware and software problems that occur in everyday life (e.g., basic troubleshooting, updating software, virus scanning); Demonstrate knowledge of the characteristics, functions, and uses of a variety of computing devices used to accomplish real-world tasks (e.g., probe, sensor, Global Positioning System [GPS], robots); Demonstrate knowledge of the historical rate of change in computing devices (e.g., with regard to power/energy, computation capacity, speed, size, ease of use) and the implications of this change for the future of society; Demonstrate knowledge of how specialized computing devices can be used for problem solving, decision making, and promoting creativity in all subject areas.
- More on apply knowledge of characteristics, functions, and uses of computing devices and components. Also review Demonstrate knowledge of how humans and machines interact to solve problems.
- Apply knowledge of characteristics, functions, and uses of networks and services. Review Demonstrate knowledge of concepts and terminology related to networks, including the Internet, and issues that affect network functionality (e.g., latency, bandwidth, firewalls, server capability); Demonstrate knowledge of common network vulnerabilities (e.g., cyberattacks, identity theft, privacy) and strategies for responding to these threats; Demonstrate understanding of characteristics and functions of physical (wired), local and wide area, wireless, and mobile networks; Demonstrate knowledge of network topologies and protocols for data transmission and how digital information is transferred across a network; Demonstrate knowledge of the characteristics and functions of networks and network components (e.g., devices, routers, switches, cables, wires, transponders); Demonstrate knowledge of services related to computing devices (e.g., cloud data storage, subscription services, location services, data mining) and of concepts related to quality of service (e.g., security, availability, performance) for service providers.
Category 4 · Computational Thinking
About 29% of the exam- Apply concepts related to abstraction and algorithms. Review Demonstrate knowledge of the concepts of abstraction and the creation of new representations through generalization and decomposition in problem-solving contexts (e.g., algorithmic abstraction, data abstraction); Demonstrate knowledge of concepts related to iterative and recursive algorithms (e.g., sequence, selection, iteration, modularization, reusability); Apply knowledge of how to represent algorithms in a variety of ways (e.g., flowcharts, pseudocode), realizing that there are some problems that cannot be computationally solved; Analyze algorithms represented in a variety of formats to predict outcomes and to identify and correct errors; Select an appropriate algorithm to perform a given task; Demonstrate knowledge of methods to determine how well an algorithm performs a given task.
- Apply concepts related to data representation, modeling, and simulation. Review Demonstrate knowledge of how numbers, text, and data can be represented in a variety of ways (e.g., binary, hexadecimal, ASCII); Demonstrate knowledge of concepts related to file types (e.g., .txt, .jpg, .wav) and of file storage and sharing (e.g., compression, cloud storage, synchronization); Apply knowledge of databases (e.g., relational, multidimensional) to organize, search, analyze, and display data; Apply knowledge of data technologies (e.g., probes, geographic mapping, artificial intelligence, data mining) and how they are used to collect, organize, analyze, and report findings; Demonstrate knowledge of the creation and use of models and simulations in real-world and problem-solving contexts.
- Apply concepts related to computer programming. Review Apply knowledge of variables and data types (e.g., integer, real, string) for representing information; Apply knowledge of expressions (e.g., arithmetic, Boolean, string), operators (e.g., assignment, concatenation, comparison), and operator precedence; Apply knowledge of conditional structures (e.g., if-then, if-then-else) to control the flow of a program; Apply knowledge of looping structures (e.g., for, while, recursion); Apply knowledge of functions (e.g., parameters, values); Demonstrate knowledge of the characteristics and uses of data structures (e.g., records, lists, multidimensional data structures).
- Apply concepts related to program development and testing. Review Demonstrate knowledge of programming concepts (e.g., event-driven functions, modularization, global and local variables, high- versus low-level programming languages, apps for devices); Demonstrate knowledge of concepts related to object-oriented programming (e.g., classes, objects, encapsulation, inheritance); Demonstrate knowledge of the iterative design process and of trade-offs among multiple approaches to solving a given problem (e.g., space/time performance, maintainability, correctness, elegance); Apply knowledge of code reuse, libraries and application programming interfaces (APIs), version control systems, and integrated development environments (IDEs); Demonstrate knowledge of issues related to program correctness, efficiency, portability, and scalability; Demonstrate knowledge of testing and debugging methods.
- More on apply concepts related to program development and testing. Also review Demonstrate knowledge of program documentation.
Category 5 · Integration of Knowledge and Understanding
About 20% of the exam- Prepare an organized, developed analysis on a topic related to the use of digital tools to create an artifact. Review Write a brief plan describing the steps needed for creating a digital artifact to meet a given set of project requirements; Describe the computational tools and skills needed to implement the steps for creating the artifact; Describe issues related to the safe and ethical use of technology in the creation of this digital artifact.
- Prepare an organized, developed analysis on a topic related to computer science. Review Given a computational problem, apply knowledge of computational thinking and the program development process to create a plan for solving the problem; Develop an algorithm for a program in pseudocode that involves data types and data structures, conditional and looping structures, functions, and/or libraries, as appropriate; Describe how the program should be documented and identify a method for testing and debugging the program.
Registration, Test Day and Scoring
- Test options
- Test center or online proctoring
- Passing score
- 240 on each test or subtest (scale 100-300)
How to Register
- 1Confirm which test you need
The Massachusetts Department of Elementary and Secondary Education sets licensure requirements. Check the requirements for your license with the Department or your preparation program.
- 2Register on the MTEL site
Create an account at mtel.nesinc.com, choose the test and an appointment, and pay when you register.
- 3Prepare with the official guide
The test information guide lists every objective and weight and includes sample questions and open-response prompts.
Fees
The fee is not listed on this page, so confirm the amount on the official registration page. Fees can change, so confirm the amount on the MTEL site when you register.
Test day
MTEL tests are computer-based and are offered at test centers and, for many fields, by online proctoring. Register and schedule on the MTEL site (mtel.nesinc.com), run by Pearson for the Massachusetts Department of Elementary and Secondary Education.
The testing time covers one or both subtests of a field when you take them in the same session. The 15-minute computer-based test tutorial is not included in that time.
Read the MTEL testing policies for arrival, identification and online proctoring requirements before your appointment.
Scoring
MTEL scores are reported on a scale of 100 to 300. The passing score is 240 for each test or subtest.
Multiple-choice questions are machine scored. Open-response and writing items are scored by trained Massachusetts educators.
Who Takes MTEL Digital Literacy and Computer Science (71)?
Candidates seeking a Massachusetts educator license in this field. Confirm with the Massachusetts Department of Elementary and Secondary Education or your preparation program that field 71 applies to your license.
Teacher candidates preparing in Digital Literacy and Computer Science. Use the 13 objectives as a checklist of what to review before test day.
How to Prepare for MTEL Digital Literacy and Computer Science (71)
- 1Start with the official preparation materials
Read the official MTEL test information guide for field 71. It lists each objective and includes sample questions.
- 2Study by weight
Give the most time to Computational Thinking (about 29%), but cover every category.
- 3Practice at the exam pace
You have about 2 minutes 21 seconds per item on average (4 hours for 102 items). Practice at that pace so time does not decide your result.
- 4Weights guide your review
The largest subarea is Computational Thinking, at 29% of the test. Spend review time in proportion to the weights, but cover every subarea.
- 5Use the objectives as a checklist
The study guide lists 13 objectives. For each one, check whether you can explain it without notes and start with the ones you cannot.
- 6Read the verb in each objective
11 of the 13 objectives begin with a verb such as Apply, Analyze, Evaluate or Demonstrate. Those signal items that ask you to use a concept in a scenario, so practice with worked examples and not only definitions.
- 7Practice the open responses
Write timed responses to the sample open-response items, then score them against the rubric in the study guide. Organization and support count as much as being right.
- 8Use the official practice materials
The MTEL site offers a practice test and the study guide includes sample items for this field. Work through them to learn the item style before you test.
- 9Check the current test list
MTEL fields are updated from time to time, so confirm the field number you need on the MTEL site before you register.
MTEL Digital Literacy and Computer Science (71): Frequently Asked Questions
What is the passing score for MTEL Digital Literacy and Computer Science (71)?+
A scaled score of 240 (scale 100 to 300).
What is on MTEL Digital Literacy and Computer Science (71)?+
100 multiple-choice questions, 2 open-response items, in 4 hours.
How many items are on MTEL Digital Literacy and Computer Science (71) and how long is it?+
100 multiple-choice questions, 2 open-response items, with 4 hours of testing time plus a 15-minute tutorial.
Which subarea carries the most weight on field 71?+
Computational Thinking, at about 29% of the test.
How many objectives are on field 71?+
The official study guide lists 13 objectives, from 0001 to 0013.
What are the open-response items on field 71?+
The test has 100 multiple-choice questions, 2 open-response items. Open responses are scored separately from the multiple-choice items against published rubrics, and the study guide describes each assignment.
What does the Computing and Society subarea cover on MTEL Digital Literacy and Computer Science (71)?+
It makes up about 22% of the test and covers objectives 01–03: Apply knowledge of safety and security concepts and appropriate digital interactions; Apply knowledge of the responsible, ethical, and legal use of technology resources and digital content; Apply knowledge of the impacts of technology on society.
What does the Digital Tools and Collaboration subarea cover on MTEL Digital Literacy and Computer Science (71)?+
It makes up about 15% of the test and covers objectives 04–05: Apply knowledge of the use of digital tools and resources to create content, communicate, and collaborate; Apply knowledge of digital tools and techniques for conducting research.
What does the Computational Thinking subarea cover on MTEL Digital Literacy and Computer Science (71)?+
It makes up about 29% of the test and covers objectives 08–11: Apply concepts related to abstraction and algorithms; Apply concepts related to data representation, modeling, and simulation; Apply concepts related to computer programming; Apply concepts related to program development and testing.
What does the Integration of Knowledge and Understanding subarea cover on MTEL Digital Literacy and Computer Science (71)?+
It makes up about 20% of the test and covers objectives 12, 13: Prepare an organized, developed analysis on a topic related to the use of digital tools to create an artifact; Prepare an organized, developed analysis on a topic related to computer science.
What score do I need to pass an MTEL test?+
You need a scaled score of 240 on each test or subtest. Scores are reported on a scale of 100 to 300.
Do the MTEL tests include written responses?+
Most of the tests in this series do. The Writing subtest, General Curriculum and Foundations of Reading include open-response or writing items, while the Reading subtest is all multiple choice.
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Start Practice Free →Sources: MTEL Digital Literacy and Computer Science (71) study guide (objectives); MTEL Communication and Literacy Skills test information guide; MTEL General Curriculum test information guide; MTEL Foundations of Reading test information guide. Always confirm current requirements, fees and passing scores with the official program before you register.
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