Immediate Own Motion was the largest class of embodied learning environments, with motion sensor technology used in 30 of its 34 environments¶

Claim · All claims
Evidence · 1 study (2 entries) · review r2–r3 · q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Class I — Immediate Own Motion was the largest of the four classes, containing 34 of the 62 learning environments, while Class III — Non-immediate Own Motion was the smallest with 4. → Carolien Duijzer 2019 q2 i? In 30 of the 34 Class I learning environments, motion sensor technology was used, allowing immediate representation of a student's motion as a graph. → Carolien Duijzer 2019 (2)

Evidence¶

Carolien Duijzer 2019¶

Carolien Duijzer, Marja Van den Heuvel-Panhuizen, Michiel Veldhuis, Michiel Doorman, & Paul Leseman. (2019). Embodied Learning Environments for Graphing Motion: a Systematic Literature Review. Educational Psychology Review. https://doi.org/10.1007/s10648-019-09471-7

q2 · i? · review · r2

Classification of the 62 learning environments on bodily involvement and immediacy shows "Class I — Immediate Own Motion was the largest (34 learning environments)"; the review further reports Class III was smallest with 4, and the other two classes contained 12 environments each.

"Class I — Immediate Own Motion was the largest (34 learning environments)."

Carolien Duijzer 2019 (2)¶

Carolien Duijzer, Marja Van den Heuvel-Panhuizen, Michiel Veldhuis, Michiel Doorman, & Paul Leseman. (2019). Embodied Learning Environments for Graphing Motion: a Systematic Literature Review. Educational Psychology Review. https://doi.org/10.1007/s10648-019-09471-7

q2 · i? · review · r3

Descriptive analysis of Class I environments found that in "30 out of the 34" motion sensor technology was used, allowing immediate representation of a student's motion as a graph, for example walking in front of a motion sensor with the graph shown on a graphing calculator screen.

"In 30 out of the 34 learning environments that belonged to Class I — Immediate Own Motion, motion sensor technology was used"

Discussion¶

Related Claims¶

• Review analysis uncovered eight mediating factors for students' understanding of graphing motion, mentioned in 127 instances across the 62 learning environments — related
• Embodied learning environments using students' own motion immediately linked to its graphical representation are most effective in terms of learning outcomes for graphing motion — related
• PDE studies embodying the four design principles most strongly were associated with the strongest PDE outcomes — related