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Psychology · Studypool

make desion

Overview

Instructional Decision Making

Objective

Students will apply Douglas Greer’s instructional decision-making model (read pgs. 64-81 in Greer book and listen to Module 5 lecture) to real or simulated data sets to determine whether to continue, modify, determine next steps or discontinue an instructional program for a learner.

Please watch the Module 5 lecture BEFORE you begin the assignment.

Assignment Instructions

GRAPH AND SUGGEST DECISION

  1. Construct Graphs with Data Paths
    You’ll be provided with DATA representing:
  • 2.DATA FOR STUDENTS TO PLOT (BY HAND)
  • Decision Report
    Write a 1–2 page rationale:
    • Describe each session number where the decision should have been made and what the decision should have been.
    • Justify your decision using Greer’s guidelines (e.g., “After 3 sessions with no ascending trend, modification warranted.”).
    • For each program and graph you drew, reflect on the following:
      • If the data trend was not desirable and/or variability was high, what decision did you consider as a behavior analyst? THIS ENTIRELY HYPOTHETICAL. Examples of decisions:
        • conduct direct observation of the program implementation to make sure that staff is implementing the program with fidelity
        • identify missing prerequisite skills
        • change prompt level
        • change Sd
        • evaluate reinforcers
        • evaluate correction procedures

SKILL 1- Listening Responding by feature function class

Session #

# Trials Correct out of 20 opportunities

1

3

2

5

3

4

4

2

5

4

6

8

7

7

8

5

9

4

10

5

11

2

SKILL 2- Tacting Objects

Session #

# Trials Correct out of 20 opportunities

1

1

2

1

3

3

4

5

5

3

6

2

7

4

8

6

9

8

10

7

11

6

12

5

13

3

SKILL 3- Manding for Missing Information

Session #

# Trials Correct out of 20 opportunities

1

4

2

10

3

13

4

16

5

20

6

20

7

20

8

16

9

12

10

10

  1. Analyze Trends

REFER TO THE LECTURE FOR DECISION MAKING RULES

  1. Submission
    Include:
    • Three graphs
    • Data interpretation and specification of decisions you made along the way
    • Written decision rationale

Grading Rubric

Total: 180Points

Criterion

Excellent (Full Credit)

Proficient (Partial Credit)

Developing (Limited Credit)

Points

1. Graph Construction & Accuracy (10 points)

Graphs are clearly labeled (axes, title, data points, phase lines). Data paths accurately reflect provided data. Three distinct graphs are presented with correct Y-axis (% correct out of 20) and session numbers.

Most graphs are correct but may have missing labels, minor plotting errors, or unclear phase lines.

Graphs are incomplete, mislabeled, or do not correspond accurately to provided data.

/20

2. Application of Greer’s Decision Rules (50 points)

Accurately identifies correct session number for each decision based on Greer’s model (three-path and five-path rules). Properly applies decision criteria (continue, modify, discontinue).

Some decisions correctly identified; partial understanding of Greer’s criteria shown but minor misapplications.

Decisions are incorrect or inconsistent with Greer’s model; shows limited understanding of decision rules.

/50

3. Written Decision Rationale (50 points)

Provides a clear, evidence-based rationale for each decision. Integrates Greer’s terminology (data paths, phase lines, LTO/STO). Cites specific trends (ascending, descending, no trend) and supports with textbook examples.

Rationale mostly clear but may lack depth or specific references to Greer’s decision criteria.

Rationale vague or incomplete; fails to connect to data trends or Greer’s framework.

/50

4. Suggested Modifications/Next Steps (70 points)

Thoughtful, hypothetical modifications proposed when data trends are undesirable. Demonstrates critical analysis (e.g., checking implementation fidelity, adjusting prompts, reinforcers, SDs). Scenario is creative and realistic.

Some modifications provided but lack detailed reasoning or alignment with observed trends.

Modifications are missing, unrealistic, or too generic (e.g., only “observe fidelity”).

/70