Students in a technology-enhanced modeling physics class learned significantly more than students in an otherwise identical no-technology class¶

Claim · All claims
Evidence · 1 study · causal r1 · q3 · i3 large
Currency · newest study 2007 · not yet checked against its sources · not reviewed by a person
Evidence quality · No study behind this claim is a peer-reviewed article with a DOI: it rests on a preprint that has not been peer reviewed. It is kept because a design page cites it; treat it as a lead to check, not an established finding.

Subclaims¶

q3 i3 The 2005 technology-enhanced class scored significantly higher on FCI posttest (t(87) = 2.80, p < .01, d = 2.13) and Hake gain (t(87) = 2.90, p < .01, d = 4.06) than the 2004 no-technology class. → Brewe 2007

Evidence¶

Brewe 2007¶

Brewe, E., Sawtelle, V., and Pamela, P. (2007). Impacts of real-time data collection on introductory algebra-based physics. https://doi.org/10.48550/arxiv.0709.2738

q3 · i3 · causal · r1

Quasi-experimental comparison of two intact Fall sections (2004 no-tech, 2005 tech) of the same algebra-based mechanics course with the same instructor. The article reports "the two classes differed significantly on Posttest score t(87) = 2.80, p < .01" with effect sizes d = 2.13 (post) and d = 4.06 (Hake gain).

Note (2026-10-15): both d values are printed by the source (arXiv 0709.2738, results section), so the i3 stands on them. They are not consistent with the printed tests, though: with t(87) = 2.80 and t(87) = 2.90 across two classes of 89 students in all, d is roughly 0.6, a medium effect. Read the i3 with that in mind.

"the two classes differed significantly on Posttest score t(87) = 2.80, p < .01 and Hake gain t(87) = 2.90, p < .01."

Discussion¶

Related Claims¶

• The two compared classes started with equivalent understanding of Newtonian mechanics — related
• FCI change-score versus pretest-score data from three classes show linear relations at high pretest scores and curving-down at low scores, diagnosable as α- versus γ-process dominance — related
• Real-time data collection made the momentum lab substantially more efficient, cutting lab duration from two hours to one — related
• CLASP students achieved an average normalized FCI gain of 0.39, above the traditional-course range and in the middle of the interactive-engagement range, despite only about a third of one quarter on mechanics — related
• High-ability students' learning behaves as a dominant α-process even at low pretest scores, while average-ability students show more γ-process behavior — related
• Students who experienced the technology-enhanced class were far more favorable toward technology (76.0%) than no-technology students (20.4%) — related
• A tablet-based AR app displaying real-time measurement data above circuit components aided conceptual knowledge acquisition more effectively than traditional physics lab lessons — related
• In Harvard's introductory physics course, average FCI posttest scores and normalized gain rose sharply in the year it switched from traditional lectures to Peer Instruction — related
• Active Learning Improves Exam Performance — a broader claim this one bears on
• Hake's survey found interactive-engagement courses achieved average normalized gains about two standard deviations greater than traditional courses, with overall gain–pretest correlation of +0.02 — a broader claim this one bears on