MIDAS

Explorations in Data Science: youcubed Adaptable Curriculum

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Core Code Alignment

Mathematics
Statistics
07060000010: Statistics (10-12)

Recommendation

Recommended Primary

Evaluation

Provides a solid course in basic statistics, probability, and even some computer programming through the use of algorithms. Materials are well-designed and integrated into a coherent course that uses student projects and class discussions and journals to advance student learning.

Educators Using These Materials

No educators found.

Rubric : Mathematics 2025

Compliance with State Law (Required)

Item	3 - Extensive	2 - Adequate	1 - Inadequate	0 - None
Sensitive Materials and Prohibited Submission 53G-10-103, R277-628	This item has not been graded.

Prohibited discriminatory practices 53G-2-103-5, 53B-1-118 and 67-27-107	This item has not been graded.

Maintaining constitutional freedom in the public schools. 53G-10-202	This item has not been graded.

Free from advertising, e-commerce, or political interest	This item has not been graded.

Focus and Coherence: Non-Negotiable

Item	3 - Extensive	2 - Adequate	1 - Inadequate	0 - None
Non-negotiable materials must focus coherently on the Major Work of the grade in a way that is consistent with the progressions in the standards.	Student and teachers using the materials as designed devote the majority of time to the Major Work of the grade.	Supporting Work enhances focus and coherence simultaneously by also engaging students in the Major Work of the grade.	Materials follow the grade-by-grade progressions in the Standards. Content from previous or future grades does not unduly interfere.	Lessons that only include mathematics from previous grades are clearly identified.
Extensive focus on Data Science. Utah does not have standards for Data Science Math core though.

Rigor and Balance

Item	3 - Extensive	2 - Adequate	1 - Inadequate	0 - None
The materials support the development of students’ conceptual understanding of key mathematical concepts, especially where called for in specific standards or cluster headings.	Meets	Partially meets	N/A	Does not meet
All materials support the conceptual understanding of Data Science key concepts. Students will gather, analyze, and model data in various ways. In addition, they will learn about machine learning algorithms.
The materials are designed so that students attain the fluencies and procedural skills required by the Standards.	Meets	Partially meets	N/A	Does not meet
Materials seem to be project-based with hands-on and real-world applications.
The materials are designed so that teachers and students spend sufficient time working with applications, without losing focus on the Major Work of each grade. (Are there single and multi-step contextual problems that develop the mathematics of the grade, afford opportunities for practice, and engage students in problem solving?)	Meets	Partially meets	N/A	Does not meet
Materials seem to be project-based with hands-on and real-world applications. During the final project, students will have an opportunity to work through the full cycle of data science.

Standards for Mathematical Practice

Item	3 - Extensive	2 - Adequate	1 - Inadequate	0 - None
Materials address the practice standards in such a way as to enrich the Major Work of the grade; practice standards strengthen the focus on Major Work instead of detracting from it, in both teacher and student materials.	Meets	Partially meets	N/A	Does not meet
Materials enrich and strengthen the focus of a Data Scientist.
Tasks and assessments of student learning are designed to provide evidence of students’ proficiency in the Standards of Mathematical Practice.	Meets	Partially meets	N/A	Does not meet
Student proficiency is measured primarily through student tasks and group activities and projects.
Materials support the Standards’ emphasis on mathematical reasoning.	Meets	Partially meets	N/A	Does not meet
Project-based learning puts the focus on student reasoning.

Access to the Standards for All Students

Item	3 - Extensive	2 - Adequate	1 - Inadequate	0 - None
Support for English Language learners and other special populations is thoughtful (evidence-based) and helps those students meet the same Standards (and rigor) as all other students. The language in which problems are posed is carefully considered.	Meets	Partially meets	N/A	Does not meet
Students could be able to communicate their understanding in a language that is accessible to them. These lessons use a lot of visuals and group work which would also support ELLs.
Materials provide scaffolding, differentiation, intervention, and support for a broad range of learners with gradual removal of supports, when needed, to allow students to demonstrated their mathematical understanding independently.	Meets	Partially meets	N/A	Does not meet
Materials used include rubrics and provide example work. Differentiation is apparent when students are able study their own lie experiences through data. Students make portfolios of thier work as well as concept organizers.
Design of lessons incorporates strategies such as using multiple representations, deconstructing/reconstructing the language of problems, providing suggestions for addressing common student difficulties, etc. to ensure grade-level progress for all learners.	Meets	Partially meets	N/A	Does not meet
Data Science is extensive in the use of multiple representations as well as identifying, deconstructing and reconstructing problems.
Ethnic Studies- (Ethnic studies in core standards and curriculum should be a narrowly tailored incorporation of age-appropriate opportunities that naturally arise through education without pretextual effort in courses, programs, or activities where ethnic studies is not a primary focus. The material should incorporate a curriculum of people and cultures that reflect the state’s various demographics without commentary that seeks to violate the neutrality standard established in codes: 53B-1-118, 53G-2-103, 53G-2-104, 53G-2-105, 67-27-107,	This item has not been graded.

Shared Values and Character Traits	This item has not been graded.

Assessment

Item	3 - Extensive	2 - Adequate	1 - Inadequate	0 - None
Multiple measurements of individual student progress occur at regular intervals ensuring success of all students.	Meets	Partially meets	N/A	Does not meet
Each student is required to keep a portfolio as well as make presentations. Rubrics are provided and are expected to be used periodically throughout the course.
Assessments measure what students understand and can do through well designed mathematical tasks and applications.	Meets	Partially meets	N/A	Does not meet
Individual and group projects are the main methods of advancing student learning. These application tasks introduce new ideas and provide opportunities to practice and build fluency.

UTAH STATE BOARD OF EDUCATION

250 East 500 South

Salt Lake City, UT 84111-3204

Phone: 801.538.7807