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self-esteem

Learning Interest and Academic Self-Esteem Test

Take the online Learning Interest and Academic Self-Esteem Test - AI psychologist FreudlyYou can take Learning Interest and Academic Self-Esteem Test here. Online version of a simple and accurate psychological test with interpretation.en
With 24 questions completed in about five minutes, the Learning Interest and Academic Self-Esteem Test explores your motivation across school subjects, learning engagement, and confidence in your academic abilities. Its results offer a personal profile that can support self-reflection about interests, strengths, and areas where study feels less rewarding.
Questions: 245 minutes
Learning Interest and Academic: test ticket with numbers
October 2, 2025October 2, 2025Material has been updatedOctober 2, 2025Material has been published
25,115 views
2,496 completions
2,160 likes
Daniel HallPsychologist · Test reviewer
2,160 likes
Scale Explorer

How the Scales are Structured

Motivation for Physical EducationMfPE
Measures the child’s motivation and positive attitude toward engaging in physical exercise.
example score24/30
24/30High motivationexample score
6 – 14Low motivation
15 – 22Moderate motivation
23 – 30High motivation
A score of 24 falls in the High motivation range, suggesting strong interest and a generally positive attitude toward physical activity.
Motivation to Study Natural SciencesMtSNS
Assesses the student’s motivation and interest in studying natural science subjects.
example score15/30
15/30Moderate motivationexample score
6 – 14Low motivation
15 – 22Moderate motivation
23 – 30High motivation
A score of 15 falls in the Moderate motivation range, suggesting a situational or uneven interest in natural science subjects rather than strong sustained engagement.
Motivation to Learn the Russian LanguageMtLtRL
Measures the child’s motivation and positive attitude toward learning the Russian language.
example score20/30
20/30Moderate motivationexample score
6 – 13Low motivation
14 – 22Moderate motivation
23 – 30High motivation
A score of 20 indicates moderate motivation, suggesting generally positive engagement with Russian language learning with some variability in interest or perceived ease.
Motivation to Study MathematicsMtSM
Measures a student's motivation and positive attitude toward studying mathematics.
example score13/30
13/30Lowexample score
6 – 13Low
14 – 22Moderate
23 – 30High
A score of 13 falls in the Low range, suggesting reduced interest and engagement with mathematics compared with higher scores on this scale.
Academic Self-EsteemASE
Measures how confidently a student perceives their academic abilities and achievements.
example score19/60
19/60Lowexample score
12 – 27Low
28 – 43Moderate
44 – 60High
A score of 19 falls in the Low range, suggesting the student may underestimate their academic abilities and feel less confident about their achievements.
Learning InterestLI
Measures a child’s intrinsic motivation and engagement in learning across school subjects.
example score48/60
48/60Highexample score
12 – 27Low
28 – 43Moderate
44 – 60High
A score of 48 falls in the High range, suggesting strong academic interest and active engagement in learning activities.
just completed the test
DATA-BASED USER COHORTS

Who Usually Takes This Test?

School Psychologist Screening
44%OF USERS
School psychologists use it to quickly spot students who are losing interest in subjects or have low confidence in their abilities.
Teachers Tracking Motivation
33%OF USERS
Teachers and class advisors take it to monitor how students feel about key subjects and whether changes in teaching improve engagement.
Parents Seeking Insight
23%OF USERS
Parents use it to understand why a child avoids certain subjects and where support could boost self-esteem and effort.
BASED ON AGGREGATED, ANONYMIZED DATA FROM TENS OF THOUSANDS OF FREUDLY USERS.
Benchmarking

See How You Compare

Once you complete the test, your results are compared with real-world data from people in your country.
Below is a preview of how scores are typically distributed across each scale.
Shaded area — where most people score
Dot — the average
You — your score lands on each curve after the test— your score, after the test
motivation to engage in physical exercisemteipe
You?
Average23.7
Typical rangeTypical19.7 – 27.7
Possible6 – 30
motivation for studying natural science subjectsmfsnss
You?
Average23
Typical rangeTypical19.2 – 26.7
Possible6 – 30
motivation for learning the Russian languagemfltRl
You?
Average18.6
Typical rangeTypical15.2 – 22
Possible6 – 30
motivation to study mathematicsmtsm
You?
Average18.2
Typical rangeTypical15.1 – 21.4
Possible6 – 30
Academic Self-EsteemAS
You?
Average30.1
Typical rangeTypical21.3 – 38.8
Possible12 – 60
Academic InterestAI
You?
Average36.1
Typical rangeTypical28.7 – 43.6
Possible12 – 60
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SAMPLE QUESTIONS

Example Questions From the Test

    • Do not like at all
    • Do not like
    • Neither like nor dislike
    • Like
    • Like very much
    • Do not like it at all
    • Do not like it
    • Neither like nor dislike
    • Like it
    • Like it very much
    • I do not like it at all
    • I do not like it
    • Somewhat
    • I like it
    • I like it very much
WHAT THE TEST MEASURES

Learning Interest and Academic Self-Esteem Test - Description and methodology of the test

self-esteem
academic motivation

People reflecting on their own learning may use the Learning Interest and Academic Self-Esteem Test to examine a practical question: which school experiences feel inviting, and where might perceived difficulty or low confidence be shaping participation. Its learning motivation test format organizes those reflections across familiar academic and activity contexts, helping respondents notice patterns worth considering when choosing study strategies.

What This Assessment Explores

Perceived academic ability meets motivation in the academic self-esteem test.

Six dimensions separate enjoyment from performance; higher means interest or confidence, lower means less:

  • Motivation for Physical Education (6-30) reflects interest. Low motivation 6-14; Moderate motivation 15-22; High motivation 23-30.
  • Motivation to Study Natural Sciences (6-30) reflects subject interest. Low motivation 6-14; Moderate motivation 15-22; High motivation 23-30.
  • Motivation to Learn the Russian Language (6-30) reflects subject interest. Low motivation 6-13; Moderate motivation 14-22; High motivation 23-30.
  • Motivation to Study Mathematics (6-30) reflects subject interest. Low 6-13; Moderate 14-22; High 23-30.
  • Academic Self-Esteem (12-60) reflects appraisal. Low 12-27; Moderate 28-43; High 44-60.
  • Learning Interest (12-60) reflects motivation. Low 12-27; Moderate 28-43; High 44-60.

Methodology and Scientific Basis

Five ordered options move from lower to higher liking or self-rated ability; wording varies by item. Early items ask about liking mathematics, reading and writing, science, language, team games, competitions, and physical education; later items ask how well respondents think they perform in matching areas.

Spinath and colleagues (2006) discuss self-perceived ability and intrinsic value; Kovas and colleagues (2015) describe subject variation in learning motivation. This questionnaire is conceptually consistent with those distinctions, not an adaptation of either study.

The six displayed scales use descriptive bands: higher results indicate more favorable interest, motivation, or confidence, but do not explain its cause. The learning interest assessment is best used to compare personal tendencies.

These bands have no established normative interpretation for this online questionnaire. Mood, classroom experiences, and self-awareness can influence answers, so results are snapshots of present attitudes, not fixed measures of ability or achievement.

Author: John L. Holland, Morris Rosenberg
Literature:
  • Twins Early Development Study. (2003-2004). 9 Year Study Measures. TEDS Data Dictionary.
  • Spinath, B., Spinath, F. M., Harlaar, N., & Plomin, R. (2006). Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value. Intelligence, 34(4), 363-374. 10.1016/j.intell.2005.11.004
  • Kovas, Y., Garon-Carrier, G., Boivin, M., Petrill, S. A., Plomin, R., Malykh, S. B., et al. (2015). Why children differ in motivation to learn: Insights from over 13,000 twins from 6 countries. Personality and Individual Differences, 80, 51-63. 10.1016/j.paid.2015.02.006

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