Datasets·Education·rmp_difficulty

RateMyProfessor — difficulty DV

RMP: Course difficulty . PsyProxy quantitative evaluation. The texts reflect a diverse range of experiences with university professors, highlighting themes of teaching styles , student engagement , and course difficulty . Many excerpts emphasize the importance of attendance and participation, suggesting that success in these classes often hinges on being present and actively involved. The tone varies widely, from enthusiastic endorsements of caring and supportive educators to harsh criticisms of disorganized or unhelpful instructors. Recurring topics include the balance between humor and rigor in teaching, the impact of grading practices on student morale, and the overall effectiveness of communication in the classroom. Overall, these reflections provide insight into the complex dynamics between students and professors within the academic environment. [Summary on 50 random texts by ChatGPT 4o Mini].

Distribution of Course difficulty
1
2
3
4
5
179,375 at floor972,984 at ceiling
1,623,759
items
324,752
holdout n
Course difficulty
target
Continuous
kind
4
systems compared
Criterion validity

Reported holdout systems from the verified card

Continuous regression uses as the task-primary metric. Secondary columns keep the companion metrics visible so binary, ordinal, regression, and multiclass cards are not compared through one flattened score.

Model-family mix
PsyProxy · 4
SystemFamilyVariantRMSEMAEPrimary scale
psyproxyPsyProxy — Technology Lens v0.5 · 800d
PsyProxypermissive0.6140.850.65
psyproxyPsyProxy — Sociology Lens v0.5 · 1000d
PsyProxypermissive0.5840.890.67
psyproxyPsyProxy — Behavioral Sciences Lens v0.5 · 1000d
PsyProxypermissive0.5440.930.71
psyproxyPsyProxy — Health Lens v0.9 · 1100d
PsyProxypermissive0.5180.950.74