Data-Driven Education Quiz

Data-Driven Education Quiz

Assessment

Interactive Video

Instructional Technology

11th Grade - University

Hard

Created by

Jennifer Brown

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the speaker's main argument about the role of data in education?

Data can enhance educational outcomes when used correctly.

Data should replace traditional teaching methods.

Data should be used exclusively for student assessments.

Data is only useful for administrative purposes.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the speaker describe the current state of educational technology?

It is outdated and needs replacement.

It is only beneficial for primary education.

It is a bit chaotic but full of innovation.

It is perfectly organized and efficient.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the main challenges in analyzing educational data?

Data is only available for online courses.

Data is always complete and accurate.

Data is often fragmented and noisy.

Data is too simple to provide insights.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the result of adding coaching feedback to an online learning activity?

It slowed down the learning process.

It doubled the speed of concept understanding.

It had no impact on learning outcomes.

It confused the learners.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What technique was used to predict student success based on behavior?

Linear regression analysis

Fractal analysis

Simple averaging

Random sampling

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key recommendation for starting data analysis in education?

Focus on the educational question first.

Ignore small data insights.

Begin with the data itself.

Rely solely on machine learning algorithms.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why should averages be avoided in data analysis according to the speaker?

Averages are only useful for large datasets.

Averages are always inaccurate.

Averages hide important distribution insights.

Averages are too complex to calculate.

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