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Table 1 Overview of significant cognitive predictors for academic achievement in science courses at university or college

From: Assessing prior knowledge types as predictors of academic achievement in the introductory phase of biology and physics study programmes using logistic regression

Subject

Biology or physics in high school

Subject-specific grade in high school

Number of lab courses

Subject-specific tests in biology or physics

Reference

Biology

✓

(Number of AP courses, enrolment in AP biology)

✓

(Science)

✓

–

Loehr et al. (2012)

–

✓

(Science, AP exam score)

–

–

Sadler & Tai (2007)

–

–

–

✓

(CINS, ACORNS)

Lee et al. (2015)

–

–

–

✓

(GCA)

Smith, Wood, & Knight (2008)

Physics

✓ ǂ

(Physics enrolment)

–

–

✓

(Mechanics test)

Halloun & Hestenes (1985)

✓

(Physics enrolment)

–

–

–

Hart & Cottle (1993)

✓

(Physics enrolment)

–

–

–

Alters (1995)

✓

(At least 2 years of physics, enrolment of any physics course)

✓

(Physics)

✓

–

Sadler & Tai (2001)

–

✓

(Science, AP exam score)

–

–

Sadler & Tai (2007)

–

–

–

✓

(FCI)

Docktor & Heller (2008)

–

✗

(Physics)

–

✓

(Physics test)

Sorge, Petersen, & Neumann (2016)

–

–

–

✓

(Physics tests)

Buschhüter, Spoden, & Borowski (2017)

✓

(Time on mechanics and optics)

✓

(Science)

✓

(Microlabs)

–

Hazari, Tai, & Sadler (2007)

  1. CINS Concept Inventory on Natural Selection (Anderson, Fischer, & Norman, 2002), ACORNS Assessment of Contextual Reasoning on Natural Selection (Nehm, Beggrow, Opfer, & Ha, 2012), GCA Genetics Concept Assessment (Smith, Wood & Knight, 2008), FCI Force Concept Inventory (Hestenes, Wells, & Swaghammer, 1992)
  2. Ç‚Variable only significant for the college sample, but not for the university sample
  3. ✗Variable not significant
  4. ✓Variable significant