Applied Instructional Design Case Study

Learning Experience Design cycle diagram: Empathize, Define, Ideate, Prototype, Test, Iterate

This case study shows how a lesson was designed, evaluated, and refined using learner data and assessment evidence. It highlights four instructional design competencies: Problem Framing & Needs Analysis, Learner-Centered UX Design, Assessment & Evaluation Logic, and Data-Informed Iteration & Improvements.

Table of Contents

Problem Framing & Needs Analysis
Empathize / Define

Problem Framing

Empathy mapping informed how the 

instructional problem was framed.

Instructional Problem:

Learners can perform main-idea and 

supporting details identification with 

guidance but struggle to do it independently.

 

Empathy Map:

Empathy mapping captured learner 

context, motivations, and barriers 

that guided the module’s support decisions.

 

Learner empathy map summarizing context, motivations, skills, behaviors, and barriers for the target audience

Needs Analysis

Needs Analysis linked classroom 

evidence to the performance gap.

 

Audience

Foundational-level adult ESL learners working toward high-school readiness

 

Current Performance

Can perform with modeling and guidance

 

Desired Performance

Independently identify main ideas and

supporting details in informational text

 

Evidence Used

Classroom observation and recurring

learner performance patterns

 

Design Focus

Sequencing, Scaffolding, Accessibility Supports

Learner Centered UX Design
Ideate

Design decisions targeted the instructional problem by sequencing instruction, 

scaffolding practice and feedback, and providing multimodal accessibility support.

Sequencing

Video overview: sequencing, scaffolding, and accessibility supports

Evidence: Capstone Project, p. 24 - "Organizing
instructional content in a clear, linear sequence"

Summary

Instructional sequencing including explicit instruction,

guided practice, formative assessment and independent application

targets consistent independent performance, not only guided success.

Scaffolding

Video overview: scaffolding supports (instruction, modeling, feedback)

Evidence: Capstone Project, p. 24 - "short
scaffolded steps with repeated modeling"

Summary

Scaffolded instruction, repeated modeling during practice, 

and scaffolded feedback explaining errors 

and correct reasoning reduces cognitive load and builds confidence.

Learner-Centered UX Implementation

Video overview: accessibility supports (visual organizers plus audio and text options) 

Evidence: Capstone Project, p. 24 - "combine
visuals, audio, and text”

Summary

UDL was implemented using built-in 

Canvas supports through alt text for 

visuals, text-to-speech for text, and 

captions and transcripts as text alternatives 

for audio and video,  increasing access to 

key ideas through multiple pathways.

Tools & Methods

Primary Skills

Empathy Mapping

Persona Development

Gap Analysis

Needs Analysis

Learning Objectives

Alignment

Methodology

Observation

Classroom Observation

Learner Analysis

Pre-Post Assessment

Formative Assessment

Summative Assessment

Design Approaches

Problem Statement

Structured Practice

Scaffolding

Modeling

Accessibility / Multimodal Supports

Assessment & Evaluation Logic - Prototype / Test

Learning objectives and instruction were intentionally aligned with pre- and post- assessments to evaluate learners’ ability to independently identify main ideas and supporting details.

Canvas Learning Objectives page screenshot showing the learning goal and objectives for the module
Evidence: Canvas module “Learning Objectives”
page (screenshot).

Performance Results

Assessment results were analyzed and adjusted to ensure 

valid interpretation of learning outcomes.

Unadjusted Class Averages 

Bar chart of class average pretest vs posttest scores for main idea and supporting detail, with change values shown

Evidence: Capstone Project, p. 42

Adjusted Class Averages 

(Posttest Q1 removed for clarity)

Adjusted class average pretest vs posttest scores for main idea and supporting detail, shown as percentages with change values

Evidence: Capstone Project, p. 43

Summary table of pre, post, 

and adjusted class averages.

Table comparing class average main idea and supporting detail scores across pretest, posttest (all questions), and adjusted posttest

Evidence: Capstone Project, p. 94

Learner Experience Feedback

Learner perception data and coded reflections provided insight into how instructional supports influenced learning strategies, informing data-informed improvements.

Learner perception survey summary (Likert).

Bar chart summarizing student Likert survey responses on feedback impact across three questions, showing counts by agreement level
Evidence: Capstone Project, p. 44

Coded reflection themes, frequency counts.

Table of coded student feedback themes with descriptions and total mention counts
Evidence: Capstone Project, p. 94

Data-Informed Iteration &
Improvements - Iterate

Performance results and learner experience feedback informed assessment and instructional improvements 

to strengthen the validity of learning outcome measures and the clarity of learner comprehension supports.

Performance Results →
Assessment validity

Posttest results led to revisions of main-idea assessment items to improve the validity of learning 

outcome data by minimizing the influence of ambiguous question wording.

Iteration notes summarizing assessment validity improvements based on performance results
Evidence - Capstone - Proposed Iteration(s) of
E-Learning Solution section: p. 48-49

Learner Experience Feedback → Instructional support

Learner experience feedback guided changes to scaffolded feedback explanations and module 

orientation to improve learner understanding of strategies assessed during independent practice.

Iteration notes describing instructional support improvements based on learner experience feedback
Evidence - Capstone - Proposed Iteration(s) of
E-Learning Solution section: p. 49-50