Computational Modeling and Video Analysis in Kinematics Learning: A Systematic Review of Tracker Software Use in Physics Laboratories
DOI:
https://doi.org/10.47945/create.v1i1.3359Keywords:
Tracker Software, Video Analysis, Computational Modeling, Kinematics, Misconceptions, Inquiry-Based Laboratory, Systematic ReviewAbstract
Tracker, a free video analysis and modeling tool, is widely used in physics laboratories, yet it is unclear what the evidence shows about its effects on kinematics learning and how its video analysis and modeling functions are combined. This systematic review, reported with reference to PRISMA 2020, addressed two questions: (1) how Tracker-based learning designs are used to support conceptual understanding and address misconceptions in kinematics, and what outcomes are reported; and (2) how video analysis is integrated with computational modeling to improve laboratory experimental design. Peer-reviewed journal articles published between 2016 and 2026 were screened, appraised with the Mixed Methods Appraisal Tool, and synthesised thematically. Three of the eight studies listed in the initial draft did not meet the eligibility criteria, and one entry could not be verified. The working corpus comprised twelve studies: seven reporting learner outcomes and five reporting measurement validity or instructional design. Most studies were conducted in Indonesian secondary schools and used one-group or non-equivalent designs. Reported outcomes included gains in science process skills (N-gain = 0.53), graph interpretation (N-gain = 0.68), investigative skills, creative thinking (N-gain = 0.20), and critical thinking. Measurement studies showed that Tracker produced kinematic parameters consistent with theoretical values, such as g = 9.98 m/s². However, only one study examined conceptual understanding with a diagnostic approach, none used standardised instruments such as the Test of Understanding Graphs in Kinematics, and none explicitly reported using Tracker’s dynamic modeling feature. The claims that Tracker remediates misconceptions and that combining video analysis with modeling yields larger gains are therefore plausible, supported by earlier international studies, but not yet established by the 2016–2026 evidence. The review proposes a five-level framework for integrating video analysis and modeling, together with an inquiry-based laboratory design and a research agenda.
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