Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 5, 2025Journal of Advanced Sciences and Mathematics EducationOpen Access

Misconceptions in bivariate analysis problems: Guidelines for teaching first year undergraduate students

View Full Paper
Ask AI
Bookmark
Share

Authors

EMEva Gavhaza Makwakwa

Discussion

Loading...

Member takes

Overview

Qualitative analysis reveals significant misconceptions in correlation and regression among first-year students, indicating a need for improved teaching strategies.

Key Points

  • Misconceptions were prevalent, with only 41.7% accurately computing correlation coefficients.
  • Manual methods led to errors, with only 36.7% of students fitting regression lines correctly.
  • A qualitative analysis of scripts from 120 students revealed frequent term confusion and formula misuse.
  • Gaps in understanding were observed, suggesting the need for better teaching methods that enhance conceptual clarity.

Cite This Study

Eva Gavhaza Makwakwa (2025) studied this question.

synapsesocial.com/papers/68c23a2cb210217d6477f445https://doi.org/10.58524/jasme.v5i2.709
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Analyzing conceptual and procedural errors in solving routine problems on gradients and straight-line equation among prospective mathematics teachers2025 · 1 citations
  2. 2The identification of misconceptions in visual learners based on the certainty of response index (CRI) in solving numeracy problems in algebra2025
  3. 3Data and Error Analysis for an Undergraduate Experiment2025
  4. 4Improving the teaching of “correlation does not equal causation” in Introductory Psychology2025 · 2 citations
  5. 5Towards understanding the error analysis thinking of prospective mathematics teachers2025 · 1 citations