Study on effectiveness of Hana game application on cognitive problem solving skill, attention and academic achievement linguistics and mathematics on first grade student

Author(s):  
Zeinab Sadat Jahromi Sarvehana
Author(s):  
Atma Murni ◽  
Rini Dian Anggraini ◽  
Sakur

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penerapan Strategi Pemecahan Masalah dalam pembelajaran kooperatif pendekatan struktural Think Pair Share (TPS) terhadap hasil belajar matematika siswa kelas VIII SMP Negeri 14 Pekanbaru. Penelitian ini menggunakan desain penelitian pra eksperimental menggunakan desain penelitian perbandingan kelompok statis. Instrumen pengumpulan data meliputi tes keterampilan mahematika awal dan tes hasil belajar matematika. Data dianalisis menggunakan uji t. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh strategi pemecahan masalah dalam pembelajaran kooperatif pendekatan struktural Think Pair Share (TPS) terhadap hasil belajar matematika siswa kelas VIII SMP Negeri 14 Pekanbaru.   The aim of this study was to know the influence of Problem Solving Strategy implementation in cooperative learning of structural approach Think Pair Share (TPS) to mathematics learning outcome of VIII class students of SMP Negeri 14 Pekanbaru. This study use pre experimental research design using The static group comparison research design. The instruments of  data collection include early mahematics skills test and mathematics learning outcome test. Data were analyzed using t test. The result of this study showed that there is influence of problem solving strategy in cooperative learning of structural approach Think Pair Share (TPS)  to mathematics learning outcome  of  VIII class students of SMP Negeri 14 Pekanbaru


2020 ◽  
Vol 42 (3) ◽  
pp. 70-77
Author(s):  
Dinar Dinangsit ◽  
Tatang Muhtar ◽  
Yogi Akin

A continual pressure within the educational system in Indonesia to focus on high levels of academic achievement is a major barrier to implementing an effective physical education curriculum in Indonesia. The conflict between the implementation of a movement based approach (MBA) and a sport based approach (SBA) presents another continuing problem. The current approach leads more to an orientation towards the acquisition of sport skills rather than the attainment of objectives of cognitive development. This study is aimed to reveal the association between the physical fitness and academic achievement of children in Sumedang, West Java. Four physical fitness test items and a specially constructed mathematics test were administered to 265 children from grades four and five. The ability of performance on the physical fitness tests to predict performance in mathematics was calculated by linear multipleregression analysis. The findings revealed that there was a significant association, although low, between the physical fitness components and mathematics achievement. Sit ups and squat jumps showed low partial correlations and the relationships for push ups and the 400 metre run were negative Limitations in the ability of the children to perform the tests were suggested as an explanation for the mixed results. It was argued that this weakness served to emphasise the importance of giving greater priority to physical education and the quality of its teaching within the school curriculum.


Author(s):  
Alberto Quílez-Robres ◽  
Nieves Moyano ◽  
Alejandra Cortés-Pascual

Academic achievement has been linked to executive functions. However, it is necessary to clarify the different predictive role that executive functions have on general and specific academic achievement and to determine the most predictive executive factor of this academic achievement. The relationship and predictive role between executive functions and their components (initiative, working memory, task monitoring, organization of materials, flexibility, emotional control, inhibition, self-monitoring) with academic achievement are analyzed in this study, both globally and specifically in the areas of Language Arts and Mathematics, in 133 students from 6 to 9 years of age. The relationship obtained in Pearson’s correlation analysis does not differ substantially between overall achievement (r = 0.392) and specific achievement (r = 0.361, r = 0.361), but task monitoring (r = 0.531, r = 0.455, r = 0.446) and working memory (r = 0.512, r = 0.475, r = 0.505) had a greater relationship with general and specific achievement. Finally, regression analyses based on correlation results indicate that executive functions predict general academic performance (14.7%) and specific performance (12.3%, 12.2%) for Language Arts and Mathematics, respectively. Furthermore, working memory and task supervision represent 32.5% of general academic performance, 25.5% of performance in Language Arts, and 27.1% of performance in Mathematics. In conclusion, this study yielded exploratory data on the possible executive functions (task supervision and working memory) responsible for good general academic achievements and specific academic achievements in Mathematics and Language Arts.


2020 ◽  
Vol 32 (4) ◽  
pp. 1055-1072 ◽  
Author(s):  
Tamara van Gog ◽  
Vincent Hoogerheide ◽  
Milou van Harsel

Abstract Problem-solving tasks form the backbone of STEM (science, technology, engineering, and mathematics) curricula. Yet, how to improve self-monitoring and self-regulation when learning to solve problems has received relatively little attention in the self-regulated learning literature (as compared with, for instance, learning lists of items or learning from expository texts). Here, we review research on fostering self-regulated learning of problem-solving tasks, in which mental effort plays an important role. First, we review research showing that having students engage in effortful, generative learning activities while learning to solve problems can provide them with cues that help them improve self-monitoring and self-regulation at an item level (i.e., determining whether or not a certain type of problem needs further study/practice). Second, we turn to self-monitoring and self-regulation at the task sequence level (i.e., determining what an appropriate next problem-solving task would be given the current level of understanding/performance). We review research showing that teaching students to regulate their learning process by taking into account not only their performance but also their invested mental effort on a prior task when selecting a new task improves self-regulated learning outcomes (i.e., performance on a knowledge test in the domain of the study). Important directions for future research on the role of mental effort in (improving) self-monitoring and self-regulation at the item and task selection levels are discussed after the respective sections.


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