Compare the results of the pre-assessment(attached) to the results of the summative assessment(attached) such as, the class as a whole, a student who demonstrated growth, and a student who did not demonstrate growth.

Understanding Business
12th Edition
ISBN:9781259929434
Author:William Nickels
Publisher:William Nickels
Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment
Section: Chapter Questions
Problem 1CE
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Compare the results of the pre-assessment(attached) to the results of the summative assessment(attached) such as, the class as a whole, a student who demonstrated growth, and a student who did not demonstrate growth.

Task 2: Evaluating Learning and Instruction
Pre-Assessment: Student Results
Prior to teaching the lesson to the class, the teacher created and administered a pre-assessment to students to evaluate
students' proficiency in prerequisite skills (key/signal words) and the problem skills and solution skills to be taught during
the lesson. The following table shows the student results from this assessment:
Student
1
2 (EL)
3
4 (SD)
5
6
7
8 (EL)
9
10
11
12 (SD)
13 (SD)
14
15
16
17 (EL)
18
19
20
Correct per
Question
% Proficient
per Question
Type
Key/Signal
Words
MC MC MC
X
X
X
X
75%
X
X
X
X
X
X
X
X
X
X
85% 90% 55%
Problem
MC
35%
X
X
X
X
X
X
X
X
CR
X
X
****
X
X
X
X
X
X
X
FITB MC
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X X
X
X
X X
X
X
60% 40% 25%
X
40% 25%
35%
Solution
MC CR
X
X
X
X
X
X
Assessing Impact on Student Learning Scenario
X
X
X
X
X
PAGE 6
FITB
X
X
X
X
X
X
X
X
X
X
X
X X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
50% 55% 20% 25%
X
X
X
20% 25%
Overall
Score
60%
50%
70%
40%
60%
40%
50%
80%
60%
50%
70%
20%
50%
40%
40%
50%
20%
50%
80%
30%
X
W WESTERN GOVERNORS UNIVERSITY.
WU
MC = Multiple choice
CR
FITB = Fill in the blank
Key
= Question answered correctly
= Question answered incorrectly
=
Looking at each question, teachers can determine how many students are proficient on each individual question. For
example, the first Key/Signal Words MC column, 17 out of 20 students answered it correctly, so 85% were proficient on
question 1. The % Proficient are in the last row of the table above.
"Overall Score" Proficiency Scale: 0-49% = Not Proficient; 50-69% = Approaching Proficiency; 70-100% = Proficient
Constructed response
Transcribed Image Text:Task 2: Evaluating Learning and Instruction Pre-Assessment: Student Results Prior to teaching the lesson to the class, the teacher created and administered a pre-assessment to students to evaluate students' proficiency in prerequisite skills (key/signal words) and the problem skills and solution skills to be taught during the lesson. The following table shows the student results from this assessment: Student 1 2 (EL) 3 4 (SD) 5 6 7 8 (EL) 9 10 11 12 (SD) 13 (SD) 14 15 16 17 (EL) 18 19 20 Correct per Question % Proficient per Question Type Key/Signal Words MC MC MC X X X X 75% X X X X X X X X X X 85% 90% 55% Problem MC 35% X X X X X X X X CR X X **** X X X X X X X FITB MC X X X X X X X X X X X X X X X X X X X X X X X X 60% 40% 25% X 40% 25% 35% Solution MC CR X X X X X X Assessing Impact on Student Learning Scenario X X X X X PAGE 6 FITB X X X X X X X X X X X X X X X X X X X X X X X X X X X 50% 55% 20% 25% X X X 20% 25% Overall Score 60% 50% 70% 40% 60% 40% 50% 80% 60% 50% 70% 20% 50% 40% 40% 50% 20% 50% 80% 30% X W WESTERN GOVERNORS UNIVERSITY. WU MC = Multiple choice CR FITB = Fill in the blank Key = Question answered correctly = Question answered incorrectly = Looking at each question, teachers can determine how many students are proficient on each individual question. For example, the first Key/Signal Words MC column, 17 out of 20 students answered it correctly, so 85% were proficient on question 1. The % Proficient are in the last row of the table above. "Overall Score" Proficiency Scale: 0-49% = Not Proficient; 50-69% = Approaching Proficiency; 70-100% = Proficient Constructed response
Summative Assessment: Student Proficiency.
After giving and grading the summative assessment, the teacher analyzes the data by creating the same tables as was done for the
pre-assessment. The first table lists each skill (i.e., key/signal words, problem, and solution) and how many students were proficient in
those skills based on item type. The second table lists the students by subset (i.e., all students, English learners, and students with
disabilities) and how many students were proficient in each skill. The final table created lists the student subsets and how many
students from each subset were nonproficient, approaching proficiency, and proficient on the overall assessment.
For example, in the Summative Assessment: Skill Proficiency by Item Type table below, the number and percent of students is
determined using the Summative Assessment: Student Results table above. Proficiency is set at 70-100%. The Key/Signal Words, MC
columns (first four on the above table), indicate that 18 out of 20 students answered t least 70% correctly. So, 18, or 90% of students
were proficient when looking at all the MC questions.
Summative Assessment: Skill Proficiency by Item Type
# (%) Students
Item Type
Multiple Choice
Constructed Response
Fill in the Blank
Students
All Students
EL Only
SD Only
# (%) Students
Proficient -
Key/Signal Words
18 (90%)
N/A
N/A
Students
All Students
EL Only
SD Only
# (%) Students
Proficient -
Problem
Summative Assessment: Skill Proficiency by Student Subset
# (%) Students
Proficient-
Key/Signal Words
18 (90%)
# (%) Students
Proficient -
Problem
# (%) Students
Proficient -
Solution
3 (100%)
3 (100%)
11 (55%)
12 (60%)
14 (70%)
# (%) Students
Not Proficient
3 (15%)
0 (0%)
1 (33%)
Proficient -
Solution
13 (65%)
2 (67%)
1 (33%)
10 (50%)
7 (35%)
11 (55%)
Summative Assessment: Overall Proficiency by Student Subset
# (%) Students
Approaching
1 (5%)
1 (33%)
0 (0%)
8 (40%)
0 (0%)
1 (33%)
# (%) Students
Proficient
16 (80%)
2 (67%)
2 (67%)
Transcribed Image Text:Summative Assessment: Student Proficiency. After giving and grading the summative assessment, the teacher analyzes the data by creating the same tables as was done for the pre-assessment. The first table lists each skill (i.e., key/signal words, problem, and solution) and how many students were proficient in those skills based on item type. The second table lists the students by subset (i.e., all students, English learners, and students with disabilities) and how many students were proficient in each skill. The final table created lists the student subsets and how many students from each subset were nonproficient, approaching proficiency, and proficient on the overall assessment. For example, in the Summative Assessment: Skill Proficiency by Item Type table below, the number and percent of students is determined using the Summative Assessment: Student Results table above. Proficiency is set at 70-100%. The Key/Signal Words, MC columns (first four on the above table), indicate that 18 out of 20 students answered t least 70% correctly. So, 18, or 90% of students were proficient when looking at all the MC questions. Summative Assessment: Skill Proficiency by Item Type # (%) Students Item Type Multiple Choice Constructed Response Fill in the Blank Students All Students EL Only SD Only # (%) Students Proficient - Key/Signal Words 18 (90%) N/A N/A Students All Students EL Only SD Only # (%) Students Proficient - Problem Summative Assessment: Skill Proficiency by Student Subset # (%) Students Proficient- Key/Signal Words 18 (90%) # (%) Students Proficient - Problem # (%) Students Proficient - Solution 3 (100%) 3 (100%) 11 (55%) 12 (60%) 14 (70%) # (%) Students Not Proficient 3 (15%) 0 (0%) 1 (33%) Proficient - Solution 13 (65%) 2 (67%) 1 (33%) 10 (50%) 7 (35%) 11 (55%) Summative Assessment: Overall Proficiency by Student Subset # (%) Students Approaching 1 (5%) 1 (33%) 0 (0%) 8 (40%) 0 (0%) 1 (33%) # (%) Students Proficient 16 (80%) 2 (67%) 2 (67%)
Expert Solution
Step 1: Introduce Assessing the Impact of Instructional Methods

Assessing the impact of instructional methods on student learning is a fundamental component of effective teaching and educational evaluation. In this analysis, we delve into the results of a pre-assessment and a summative assessment to evaluate the progress and proficiency of a class as a whole, individual students who demonstrated growth, and those who did not exhibit significant improvement. These assessments are essential tools for educators to gauge the effectiveness of their teaching strategies and identify areas that require further attention and refinement. By examining the data from these assessments, we gain insights into how teaching interventions can lead to enhanced learning outcomes, benefiting a diverse group of students, including English learners and those with disabilities. This exploration underscores the importance of data-driven instruction and the continuous pursuit of academic excellence for all students.

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