The effectiveness of math learning based on multiple intelligence: Implications at MTs Darul Ma’wa

Lestari, Fitria; Dalman,; Noprisa,; Efendi, Deni; Ariyanti, Iin; Anggara, Benny; Misbah, Misbah

doi:10.1063/5.0071296

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Based on testing on two populations that have been proven to be normally distributed, the next step is to test the homogeneity of the variance of the two samples [3]. It is obtained that Fhit < Fdaf for α = 0.10 and α = 0.02 obtained at the level of = 0.10 obtained 1.19 < 1.71 while for the level of = 0.02 obtained 1.19 < 2.142 so that both samples have the same variance.…”

Section: Homogeneity Testmentioning

confidence: 99%

“…[1] All aspects that exist in a situation or a math problem so that students can compete actively [2]. Critical thinking skills performed by students require the presentation of problems that contain elements of problem solving and high-level mathematical thinking processes, logical, analytical, systematic and creative thinking skills [2], [3].…”

Section: Introductionmentioning

confidence: 99%

“…Calculate the theoretical function will be determined first[3][4][6]. 1. specifies the class boundary (Xi) ; 2. calculate Z for class boundaries with the formula ; 3. calculate the area of the interval class by looking at table f ; 4. calculating the expected area of the class (Ei) by involving the area of each class with the amount of data, namely Ei = Li.…”

mentioning

confidence: 99%

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Collaborative Learning on Mathematical Critical Thinking Skills

Wahyudi

Noerhasmalina

Desmayanasari

et al. 2022

HJRME

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This research is quasi experiment with research design "Posttest Only Control Group Design" which aims to determine the application influence of collaborative learning models on the critical thinking ability students i.e. case study on grade VIII even semester SMP 1 Kelumbayan Barat Tanggamus. Sampling techniques using Cluster Random sampling. The research sample consists of two classes, namely one class experiment class i.e. grade VIII B as many as 39 students and one class control class VIII A as many as 40 students. Data collection techniques are obtained through mathematical critical thinking tests, observations, and interviews. Based on the results of the analysis obtained that tcount = 3.39. Distribution table, at the level of 5% obtained tdaf = 1,667 and at the level of 1% tdaf = 2,382. Proven tcount > ttable. It can be concluded that the collaborative learning model affects the ability of mathematical critical thinking students. The average mathematical critical thinking ability of students who use the collaborative learning model is higher than the average mathematical critical thinking ability of students who use the conventional learning model.

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Section: Homogeneity Testmentioning

confidence: 99%