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WGU D293 – Assessment and Learning Analytics (Objective Assessment) | Verified Questions and Answers – Complete A+ Guide

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This document provides the full set of verified questions and answers for the WGU D293: Assessment and Learning Analytics Objective Assessment (OA). It covers key topics such as formative and summative assessments, Bloom’s taxonomy, Universal Design for Learning (UDL), data analytics types (descriptive, diagnostic, predictive, prescriptive), and fairness in testing. The content is organized as a complete question bank designed to help students prepare for and pass the D293 exam with confidence.

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WGU D293
WGU D293 – Assessment and Learning Analytics (Objective

Assessment) | Verified Questions and Answers – Complete

A+ Guide

Gradegurus


















,Complete Practice Quiz: Assessment & Learning
Analytics

Questions 1–92



Question 1

Which type of assessment compares a learner's current performance to their past
performance?

A) Criterion-referenced

B) Norm-referenced

C) Ipsative

D) Summative

Answer: C) Ipsative
Explanation: Ipsative assessment measures improvement by comparing current
work to previous work.




Question 2

A teacher analyzes assessment data to understand why students struggled on a
test. Which type of analytics is this?

, A) Descriptive

B) Diagnostic

C) Predictive

D) Prescriptive

Answer: B) Diagnostic
Explanation: Diagnostic analytics answers "Why did it happen?"




Question 3

Which feedback statement would be most meaningful for a student testing a
hypothesis about bean seed growth?

A) "Write about your favorite experience in the snow."

B) "List the steps you can take to test your hypothesis."

C) "Plan how to achieve an 80% passing rate."

D) "Determine how to increase graduation rates."

Answer: B) "List the steps you can take to test your hypothesis."
Explanation: This provides actionable guidance aligned with scientific inquiry.




Question 4

A university updates faculty support policies based on data showing students
need more support. This is an example of:

A) Descriptive analytics

B) Predictive analytics

C) Prescriptive analytics

D) Diagnostic analytics

Answer: C) Prescriptive analytics
Explanation: Prescriptive analytics recommends actions to achieve goals.

, Question 5

What type of data would best help identify why a student struggles with multidigit
subtraction?

A) Time spent on each question

B) Number of hints received

C) Patterns of incorrect answers

D) Overall grade average

Answer: C) Patterns of incorrect answers
Explanation: Error patterns reveal specific misconceptions.




Question 6

A history teacher familiar with students' work habits may be at risk for which
scoring bias?

A) Socioeconomic bias

B) Prior knowledge bias

C) Cultural bias

D) Accessibility bias

Answer: B) Prior knowledge bias
Explanation: The teacher may score based on past performance expectations
rather than the work itself.




Question 7

Which cognitive level of Bloom's revised taxonomy involves using content in a
way the learner understands?

A) Remember

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