Graph similarity is highest between successful and passing students (0.997) and lowest between successful and failing students (0.954)¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Similarity ordering: successful-passing (0.997) > passing-failing (0.973) > successful-failing (0.954), with all similarities above 0.95. → Jakub Kuzilek 2023

Evidence¶

Jakub Kuzilek 2023¶

Jakub Kuzilek, Zdenek Zdrahal, Jonas Vaclavek, Viktor Fuglik, Jan Skocilas, Annika Wolff. (2023). First-Year Engineering Students' Strategies for Taking Exams. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00303-4

q2 · i? · associational · r2

Shortest-path kernel comparison of the three groups' Markov chains, reported in Table 6 with normalized similarities "0.997", "0.973" and "0.954"; the authors note all computed similarities are quite high (> 0.95).

"The similarity between successful and passing students is higher than between successful and failing students. The similarity between passing and failing students is higher than the similarity between successful and failing and lower than between successful and passing."

Discussion¶

Related Claims¶

• About half the cohort completes all first-year requirements, 20.3% pass minimally, and 30.5% fail and are de-registered — related
• Successful students' exam-period Markov chains show the lowest graph complexity, with failing students' chains the highest — related
• The six clusters differ substantially in academic performance: Final Grade ANOVA η² = 0.770, with C0 exceeding C1 by 40.17 exam-score points — related