Course Syllabus
Intensive Algebra 1A Pacing Guide
2506 / 2508 Intensive Algebra 1A
Instructor: E. Opena
Online
Instructor Elizabeth Opena
Email eopena@cwcharter.org
Office Hours: Thursday, 9:00 am - 10:00 AM by Appointment only.
(Please email me to save the date).
Class Information
Class Time
Synchronous Sessions:CP 2506: Monday, Tuesday, Wednesday 9:00 am - 10:00 amCP 2508: Monday, Tuesday, Wednesday 10:00 am - 11:00 am |
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Semester 1 - First Synchronous Class Meeting Monday, August 14, 2022
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Last Day to Add or Drop is 9/1/23 (Students will be charged the full price of the course if dropping the class after this deadline.)
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Semester 2 - First Synchronous Class Meeting Monday, January 8, 2023
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Last Day to Add or Drop is 1/19/24 (Students will be charged the full price of the course if dropping the class after this deadline.)
Course Overview
This Algebra course was developed as part of the CWCS High School Intensive (HSI) Program. The course meets three times a week online, with an additional two hours of one-on-one online tutoring built into the course. This year-long course (Algebra 1A) covers the first half of Algebra 1. Students will earn 5 credits each semester. Students must also complete Algebra 1B to fulfill the Algebra Graduation Requirement.
As an Intensive course, there are several specific scaffolds and supports in place to help students successfully master the Algebra 1 standards:
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Students will receive two hours per week of one-on-one tutoring in addition to three hours of instruction
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Content is spread out over two years
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Students will use individualized interventions to close learning gaps
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These supports are built into the course, are part of the student’s grade, and are not optional.
Prerequisites
Successful completion of Math 8 or Pre-Algebra.
Curriculum
This course will be based on Units 1A - 2B (Modules 1 - 11) of the following text:
Algebra 1 Analyze, Connect, Explore, Houghton Mifflin Harcourt, 9780544206991
Materials
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- Working external headset with mic (computer speakers do not work successfully with the Canvas setup). Plug-in headsets (rather than Bluetooth) work best with Jigsaw. After the third week of class and no headset, students may begin to lose participation points for the class. Class is much more engaging if all students can talk in class using their mic. Suggested: Office Depot Logitech Clear-Chat
- Binder Paper
- 1" Binder
- Pencils & Erasers
- Index Cards (Any Size)
- Composition Notebook
- Low Odor Dry Erase Markers (for in-class whiteboard practice)
- Scientific Calculator (no specific calculator is needed; a cell phone or computer calculator will be sufficient)
- Graphing Calculator required (www.desmos.com - no handheld graphing calculator will be needed)
- Graph Paper and Notebook Paper
- Ruler
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Requirements
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Class textbook/workbook
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School Google Account - you will use this to log in to various learning platforms such as Jigsaw, Desmos and Khan Academy, and to complete Google Apps for Education-based assignments
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Reliable Internet access
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Canvas Login link: https://cwcs.instructure.com/login/canvas
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Math Department Webpage
Grading
The EE will determine the overall course grade and enter it in SIS by the report card deadline. The overall grade will be determined according to these categories and weights:
Class Attendance and Participation. 10%
Tutoring Attendance and Participation. 10%
Unit Tests and/or Module Quizzes. 30%
Final Exam. 10%
RtI Intervention Usage. 20%
Homework/Classwork 20%
Grading Scale:
90-100% A
80-89% B
70-89% C
60-69% D
0-59% F
Class Attendance and Participation (10%):
The class will meet three times per week online via the BigBlueButton. The link can be found on the class Canvas website.
Attendance is required. The Truancy Policy applies to Canvas courses. An unexcused absence may be counted as a truancy. Full attendance credit will not be given for unexcused absences.
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Excused Absence is defined as:
The parent shall notify the teacher by phone of the absence at least 24 hours* prior to the time the class meets. -
Unexcused Absence is defined as:
An absence that does not accompany a parent phone call to the instructor at least 24 hours* prior to the time the class meets.
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*If there are extenuating circumstances that do not allow for at least 24 hours, then the teacher must still be notified prior to the start of class; allowances may be made depending on the circumstances. Examples of extenuating circumstances: car accident, sudden illness, etc. Students should arrange a "back up plan" in case of unexpected computer problems the day of the class (i.e. make pre-arrangements to go to a neighbor, friend, relative, library, etc.)
Not only will the students receive instruction during these sessions, but they will participate in answering questions and working out problems. Students may be asked to enter a response to an “Attendance Quiz” or other attendance activities to earn attendance credit for that day’s class. This gives the instructor an opportunity to identify strengths and weaknesses of the students and identify concepts that need more instruction. Points will be earned for each class session, depending on promptness and participation in the class session.
Making Up a Missed Class
Attendance credit for excused absences will be granted by the instructor based on the quality of the make-up work. To make up for a missed class session, the student must view the recording of the session (which will be posted as a link on the Canvas website shortly after the session ends) and complete a make-up attendance assignment as posted on Canvas. The student must then email the instructor with responses to the following:
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Write a summary of what was discussed during this session.
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Write a paragraph explaining one concept that was discussed in the session.
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What section are you currently working on in the textbook?
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List any questions you have regarding this week’s lessons
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Submit your response to the above 4 points via the class CANVAS inbox within 1 week of the missed class session.
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Attendance credit will not be given for unexcused absences.
Tutoring Attendance and Participation (10%):
Tutoring sessions will be held two times per week online via FEV’s online meeting platform. The link can be found on the class Canvas website. Attendance is required. Not only will the students receive targeted instruction during these sessions, but they will participate in answering questions and working out problems. Points will be earned for each class session, based on the tutor’s regular progress report of the student’s promptness and participation in the tutoring session.
Making up a Missed Tutoring Session:
Missed tutoring sessions must be rescheduled and made up within 48 hours.
Module Quizzes (30%)
Quizzes will be given at the end of each Module. The quizzes will be posted in Canvas for the students to download or will be assigned online. Specific instructions for the quizzes and tests will be given in class, including procedures for submission and due dates. Due dates will be posted for each test on the Canvas assignment page. Late submissions will not be accepted without a request for extension BEFORE the due date. For test scores less than 70%, students may retake tests to earn a grade up to 70%.
Final Exam (10%)
Students will take a final exam each semester that will be proctored by their instructor during an online class session.
RTI Intervention Usage (20%)
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Option 1: Student will work in the iReady adaptive support program for a minimum of 45 minutes per week in the corresponding subject until the student is at or above level. The grade will be based on the percentage of the required time that the student completed.
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Option 2: Student will enroll in corresponding Developmental Class targeting specific skills and standards based on student’s iReady diagnostic assessment. The Developmental Class instructor will complete a progress report for the student quarterly.
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Homework/Classwork (20%)
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The ES does not need to submit a Quarterly Progress Report.
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This grade reflects the daily homework and learning activities that the student is completing according to the assignments posted on Canvas.
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Homework activities include assignments on my.hrw.com and other instructional activities posted on Canvas or given in live class sessions.
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Running homework grade will be updated from my.hrw.com onto Canvas at the end of each Module.
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Late Work
Math Department classes will not accept late work after the close date of the assignment. Late work will NOT be given full credit. A late penalty of up to 10% per week will be deducted from the student’s score.
Intensive Algebra 1A 2023-2024 Pacing Guide
Fall 2023 Tentative Pacing Guide
(daily assignments subject to change - check Canvas regularly)
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Week |
Lessons, Topics & Standards |
Instructional Activities |
Week 1 |
Module 1: Relationships Between Quantities Lesson 1.1: Precision and Significant Digits (N.Q.3) Lesson 1.2: Dimensional Analysis (N.Q.1) |
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Week 2 |
Review Module 1 |
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Week 3 |
Module 2: Exponents and Real Numbers Lesson 2.1: Radicals and Rational Expressions (N.RN.2) Lesson 2.2: Real Numbers (N.RN.3) |
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Week 4 |
Module 3: Expressions Part 1 Lesson 3.1: Evaluating Expressions (A.SSE.1) Lesson 3.2: Simplifying Expressions (A.SSE.1) |
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Week 5 |
Module 3: Expressions Part 2 Lesson 3.3: Writing Expressions (A.SSE.2) Review Module 3 |
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Week 6 |
Module 4: Equations and Inequalities in One Variable Part 1 Lesson 4.1: Equations in One Variable (A.REI.3) Lesson 4.2: Inequalities in One Variable (A.REI.3) |
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Week 7 |
Module 4: Equations and Inequalities in One Variable Part 2 Lesson 4.3: Solving for a Variable (A.CED.4) |
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Week 8 |
Review Module 4 |
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Week 9 |
Module 5: Equations in Two Variables and Functions Part 1 Lesson 5.1: Equations in Two Variables (A.REI.10) |
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Week 10 |
Module 5: Equations in Two Variables and Functions Part 2 Lesson 5.2: Representing Functions (F.IF.1) Lesson 5.3: Sequences (F.IF.3) |
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Week 11 |
Review Module 5 |
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Week 12 |
Module 6: Linear Functions Part 1 Lesson 6.1: Linear Functions (F.IF.7a) Lesson 6.2: Using Intercepts (F.IF.7a) |
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Week 13 |
Module 6: Linear Functions Part 2 Lesson 6.3: Using Slope (F.IF.6) Lesson 6.4: Slope-Intercept Form (F.IF.4) |
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Week 14 |
Module 6: Linear Functions Part 3 Lesson 6.5: Comparing Linear Functions (F.IF.9) Lesson 6.6: Transforming Linear Functions (F.BF.3) |
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Week 15 |
Module 6: Linear Functions Part 4 Lesson 6.7: Writing Linear Functions (F.LE.2) Review Module 6 |
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Week 16 |
Semester Review & Final |
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2506.2 / 2508.2 Intensive Algebra 1A
Instructor: E. Opena
Online
Spring 2023 Tentative Pacing Guide
(daily assignments subject to change - check Canvas regularly)
LP |
Week |
Lessons, Topics & Standards |
Instructional Activities |
Week 1 |
Module 7: Building Linear Functions Part 1 Lesson 7.1: Arithmetic Sequences (F.BF.2) Lesson 7.2: Operations with Linear Functions (F.BF.1b) |
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Week 2 |
Module 7: Building Linear Functions Part 2 Lesson 7.3: Linear Functions and Their Inverses (F.BF.4a) Lesson 7.4: Linear Inequalities in Two Variables (A.REI.12) |
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Week 3 |
Review Module 7 |
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Week 4 |
Module 8: Modeling with Linear Functions Part 1 Lesson 8.1: Correlation (S.ID.6) |
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Week 5 |
Module 8: Modeling with Linear Functions Part 2 Lesson 8.2: Fitting Lines to Data (S.ID.6c) Lesson 8.3: Linear Regression (S.ID.6b) |
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Week 6 |
Review Module 8 |
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Week 7 |
Module 9: Systems of Equations and Inequalities Part 1 Lesson 9.1: Solving Linear Systems by Graphing (A.REI.6) Lesson 9.2: Solving Linear Systems by Substitution (A.REI.6) |
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Week 8 |
Module 9: Systems of Equations and Inequalities Part 2 Lesson 9.3: Solving Linear Systems by Adding or Subtracting (A.REI.6) Lesson 9.4: Solving Linear Systems by Multiplying (A.REI.5) |
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Week 9 |
Module 9: Systems of Equations and Inequalities Part 3 Lesson 9.5: Solving Systems of Linear Inequalities (A.REI.12) |
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Week 10 |
Review Module 9 |
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Week 11 |
Module 10: Exponential Functions and Equations Part 1 Lesson 10.1: Exponential Functions (F.LE.2) Lesson 10.2: Exponential Growth and Decay (F.LE.2) |
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Week 12 |
Module 10: Exponential Functions and Equations Part 2 Lesson 10.3: Geometric Sequences (F.LE.2) Lesson 10.4: Transforming Exponential Functions (F.BF.3) |
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Week 13 |
Module 10: Exponential Functions and Equations Part 3 Lesson 10.5: Equations Involving Exponents (A.CED.1) Review Module 10 |
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Week 14 |
Module 11: Modeling with Exponential Functions Lesson 11.1: Exponential Regression (S.ID.6b) Lesson 11.2: Comparing Linear and Exponential Models (F.LE.1) |
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Week 15 |
Review Module 11 |
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Week 16 |
Semester Review & Final |
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Course Summary:
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