Motivation for Learning Among Teacher Education Students Test

In 7 minutes, discover what drives a pedagogy student to learn, from getting in to genuine study interest to career goals. With 37 items, it gives clear, trackable insights to spot shifts early and support progress.
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Questions377 minutes
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08:30
October 2, 2025
October 2, 2025
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How the Scales are Structured
example score
13/35
Professional Motives (PM)
Measures the extent to which a student’s learning is driven by externally oriented professional goals and social expectations about their future career.
Low
Moderate
High
716Low1726Moderate2735High
A score of 13 indicates low professional motives, suggesting external career-related expectations are a relatively weak driver of the student’s learning at this time.
example score
14/35
Actual Learning Motives (ALM)
Measures how strongly a student’s learning is driven by external rewards or avoidance of negative consequences.
Low external drive
Moderate external drive
High external drive
716Low external drive1726Moderate external drive2735High external drive
A score of 14 indicates low external motivational pressure, suggesting study behavior is relatively less shaped by rewards or fear of punishment.
example score
76/105
Extrinsic Learning Motivation (ELM)
This scale measures the extent to which a student’s learning is driven by external rewards, approval, grades, or avoidance of negative consequences.
Low external motivation
Moderate external motivation
High external motivation
2149Low external motivation5077Moderate external motivation78105High external motivation
A score of 76 indicates moderately strong reliance on external incentives and feedback to maintain learning effort.
example score
7/25
Professional Motives (PM)
Measures how strongly a student is oriented toward future professional activity and professional self-determination during their studies.
Low
Moderate
High
511Low1218Moderate1925High
A score of 7 indicates low professional motivation, suggesting professional goals currently play a limited role in guiding the student’s learning.
example score
20/25
Actual Learning Motives (ALM)
Measures the degree to which a student’s learning is driven by genuine internal motives such as interest in knowledge, self-improvement, and professional growth.
Low
Moderate
High
511Low1218Moderate1925High
A score of 20 falls in the High range, suggesting strong intrinsic engagement with learning and clear orientation toward personal and professional development.
example score
15/25
Motives for Entering Higher Education (MfEHE)
Measures the strength of a student’s internal reasons for choosing university and the teaching profession, including interest in education and professional intent.
Low
Moderate
High
512Low1318Moderate1925High
A score of 15 falls in the Moderate range, suggesting a balanced mix of internal interest and practical considerations in the decision to apply to university.
example score
46/105
Intrinsic Learning Motivation (ILM)
Measures the degree to which learning is driven by internal interest in the profession, self-development, and enjoyment of mastering challenging material.
Low
Moderate
High
2149Low5077Moderate78105High
A score of 46 falls in the Low range, suggesting intrinsic interest and self-driven engagement in learning are present but not yet a consistent driver of study behavior.
example score
17/35
Motives for Entering University (MfEU)
Measures how strongly a student’s decision to enroll in university is driven by external circumstances and others’ expectations rather than internal academic or professional motives.
Low external admission motive
Moderate external admission motive
High external admission motive
716Low external admission motive1726Moderate external admission motive2735High external admission motive
A score of 17 falls in the Moderate range, suggesting external factors (e.g., circumstances or others’ expectations) play a noticeable but not dominant role in the decision to apply to university.
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DATA-BASED USER COHORTS
Who Usually Takes This Test?
Pedagogical university students
57%OF USERS
Students take it to understand what currently drives their learning—getting a diploma, real interest in studies, or future teaching goals—and how this changes over time.
Teacher educators and mentors
26%OF USERS
Lecturers and curators use it to monitor group motivation, spot early drops in engagement, and adjust support and learning activities.
University psychologists and advisors
17%OF USERS
Student support specialists apply it to identify motivation risks, guide individual counseling, and evaluate the impact of interventions during the semester.
BASED ON AGGREGATED, ANONYMIZED DATA FROM TENS OF THOUSANDS OF FREUDLY USERS.
RESULTS YOU CAN ACTUALLY USE
What You’ll See After You Finish the Test
Scale Results
— Explained Clearly
Your scores across each test scale, translated into plain, usable insights. Not just numbers, but what they actually mean for your daily life, emotional state, and overall well-being.
AI-Powered
Interpretation
A structured, clinically grounded explanation. Our AI analyzes patterns and relationships between scales to provide a coherent interpretation — without alarmist language.
Statistical
Comparison
See how you compare to others. Your scores are placed in a statistical context, showing percentiles and trends based on anonymized platform data to help you understand what`s typical.
Practical
Recommendations
Actionable guidance tailored to your profile. Receive clear, realistic suggestions you can apply immediately — focused on coping, self-regulation, and realistic next steps.
AI-Detected
Insights
Key patterns you might not notice on your own. Surfacing subtle connections in your responses that help you better understand what may be driving your current results.
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an AI Psychologist
Clarify, reflect, and explore right away. Talk through your outcomes, ask questions, and explore meanings in a calm, non-diagnostic dialogue environment.
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Used in 52+ countries
Benchmarking
See How You Compare
Once you finish the test, your results will be compared with real-world data from people in your country.
Below is a preview of the benchmarks we use to place your score in context.
Professional motives (Pm)
Average
14.8
Normal range
10.519
min.
7
max.
35
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Real Motivations Behind Learning (RMBL)
Average
25.7
Normal range
21.829.6
min.
7
max.
35
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
External Motivation for Learning (EMfL)
Average
77.5
Normal range
62.592.5
min.
21
max.
105
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Professional Motivations (PM)
Average
11.8
Normal range
9.114.6
min.
5
max.
25
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Genuinely Effective Motivations for Learning (GEMfL)
Average
13.8
Normal range
11.116.5
min.
5
max.
25
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Motivations for Applying to University (MfAtU)
Average
12.1
Normal range
9.115.2
min.
5
max.
25
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Intrinsic motivation for learning (Imfl)
Average
47.4
Normal range
35.759.1
min.
21
max.
105
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Motivations for Applying to University (MfAtU)
Average
15.7
Normal range
11.120.3
min.
7
max.
35
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
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CLEAR ANSWERS TO COMMON QUESTIONS
Frequently Asked Questions

Any questions left?

What does this questionnaire measure?
It measures primary drivers of learning in pedagogical university students. It covers admission-related motives, day-to-day study motivation, and professional aspirations.
Who is this questionnaire intended for?
It is intended for students enrolled in pedagogical university programs. It may be used for individual review or for monitoring motivation across a cohort.
How long does it take and how many items are included?
Estimated completion time is about 7 minutes. The questionnaire contains 37 items.
How should responses be completed?
Answer each item based on current attitudes and typical behavior rather than an ideal or expected response. Select the option that fits best and avoid leaving items blank.
How are results interpreted over time?
Scores indicate the relative strength of different motives at the time of testing. Repeated administrations can show increases or declines in specific motivational areas.
WHAT THE TEST MEASURES
About This Assessment
Motivation of Pedagogical University Students for Learning Test

Motivation for Learning Among Teacher Education Students Test

This questionnaire assesses motivational orientations related to learning in teacher education students. Motivation for Learning Among Teacher Education Students is intended to help clarify the relative salience of motives associated with entry into training, ongoing engagement in coursework, and professional goal pursuit.

The instrument consists of 37 items and typically requires about 7 minutes to complete. Items are structured to support a brief profile of key motivational factors that may be monitored over time within individuals or groups. Motivation for Learning Among Teacher Education Students was developed by Paul R. Pintrich and John T. Guthrie.

Author: John T. Guthrie, Paul R. Pintrich
Literature: Pintrich, P. R., & De Groot, E. V. Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology. 1990.
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