Using Metacognitive Strategies to Improve Reading Comprehension and Solve a Word Problem

This article describes briefly the theories of metacognition and the impacts of metacognitive skills on learning. The differences between cognitive strategy and metacognitive strategy were mentioned. Some strategies to improve students' meta cognition skills in the classroom explored as well. Based on the theories, two models of metacognitive strategies instruction for deeply understanding in reading textbook and for finding a solution of words physics problem solving were developed. These models will enable students to be independent and strategic learners

Penerapan Model Pembelajaran Novick Untuk Meremediasi Miskonsepsi Siswa Pada Hukum Archimedes Di SMP

The purpose of this research was to know the effectiveness of Novick learning model in remedied student\u27s misconception about Archimedes Law in VIII Grade of SMPN 2 Segedong Kabupaten Mempawah. The research method used the pre-experiment design with One Group Pretest-Posttest Design. 24 students of VIII-B Grade had followed this research activity until finished. There were 3 results was founded: the average of percentage decrease of student\u27s misconception is 32,95%; the conceptual change occured based on Mc Nemar Test (= 57.65, dk = 1, α = 5%); and the remediaton effectiveness level is middle (the average of ΔS = 0,36). Based on the result, the implementation of Novick learning model was effective on remedied student\u27s misconception. Hopefully, it can become an alternative of learning model in physics instruction

Kemampuan Pemecahan Masalah Siswa pada Materi Bangun Datar di SMP

: This research aims to describe the problem solving ability of students on the material about plane in grade VII SMP Negeri 3 Teluk Keramat. The method used is descriptive method with the survey of the research. The sample of research is 34 the students of graude VIII SMP Negeri 3 Teluk Keramat. Data collection tools that used are a essay test and unstructured interview guides. The result data analysis showed that the students\u27 ability to understand the problems classified is the middle with the percentage of 45.8% ; students\u27 ability to prepare planing for the problems is low with the percentage of 31.6% ; students\u27 ability to resolve the planing in accordancing is low with the percentage of 18.2%; and students\u27 ability to re-examine the procedures and results of the completion is low with the percentage of 16.4%

An Equilibrium for Frustrated Quantum Spin Systems in the Stochastic State Selection Method

We develop a new method to calculate eigenvalues in frustrated quantum spin models. It is based on the stochastic state selection (SSS) method, which is an unconventional Monte Carlo technique we have investigated in recent years. We observe that a kind of equilibrium is realized under some conditions when we repeatedly operate a Hamiltonian and a random choice operator, which is defined by stochastic variables in the SSS method, to a trial state. In this equilibrium, which we call the SSS equilibrium, we can evaluate the lowest eigenvalue of the Hamiltonian using the statistical average of the normalization factor of the generated state. The SSS equilibrium itself has been already observed in un-frustrated models. Our study in this paper shows that we can also see the equilibrium in frustrated models, with some restriction on values of a parameter introduced in the SSS method. As a concrete example, we employ the spin-1/2 frustrated J1-J2 Heisenberg model on the square lattice. We present numerical results on the 20-, 32-, 36-site systems, which demonstrate that statistical averages of the normalization factors reproduce the known exact eigenvalue in good precision. Finally we apply the method to the 40-site system. Then we obtain the value of the lowest energy eigenvalue with an error less than 0.2%.Comment: 15 pages, 12 figure

A constrained stochastic state selection method applied to quantum spin systems

We describe a further development of the stochastic state selection method, which is a kind of Monte Carlo method we have proposed in order to numerically study large quantum spin systems. In the stochastic state selection method we make a sampling which is simultaneous for many states. This feature enables us to modify the method so that a number of given constraints are satisfied in each sampling. In this paper we discuss this modified stochastic state selection method that will be called the constrained stochastic state selection method in distinction from the previously proposed one (the conventional stochastic state selection method) in this paper. We argue that in virtue of the constrained sampling some quantities obtained in each sampling become more reliable, i.e. their statistical fluctuations are less than those from the conventional stochastic state selection method. In numerical calculations of the spin-1/2 quantum Heisenberg antiferromagnet on a 36-site triangular lattice we explicitly show that data errors in our estimation of the ground state energy are reduced. Then we successfully evaluate several low-lying energy eigenvalues of the model on a 48-site lattice. Our results support that this system can be described by the theory based on the spontaneous symmetry breaking in the semiclassical Neel ordered antiferromagnet.Comment: 15 pgaes, 5 figure

Relaxing Constraints on Inflation Models with Curvaton

We consider the effects of the curvaton, late-decaying scalar condensation, to observational constraints on inflation models. From current observations of cosmic density fluctuations, severe constraints on some class of inflation models are obtained, in particular, on the chaotic inflation with higher-power monomials, the natural inflation, and the new inflation. We study how the curvaton scenario changes (and relaxes) the constraints on these models.Comment: 18 pages, 6 figure

The Stochastic State Selection Method Combined with the Lanczos Approach to Eigenvalues in Quantum Spin Systems

We describe a further development of the stochastic state selection method, a new Monte Carlo method we have proposed recently to make numerical calculations in large quantum spin systems. Making recursive use of the stochastic state selection technique in the Lanczos approach, we estimate the ground state energy of the spin-1/2 quantum Heisenberg antiferromagnet on a 48-site triangular lattice. Our result for the upper bound of the ground state energy is -0.1833 +/- 0.0003 per bond. This value, being compatible with values from other work, indicates that our method is efficient in calculating energy eigenvalues of frustrated quantum spin systems on large lattices.Comment: 11 page

Remediasi Miskonsepsi Menggunakan Concept Attainment Berbantuan Mind Map Pada Rangkaian Listrik Arus Searah

This research aims to know effectiveness remediation using Concept Attainment instruction model assisted Mind Map. The research method that used is a pre-experimental with one group pretest posttest design. This research involve 9 students grade X SMA Santun Untan Pontianak that choosed at random used intact group technique. Instrument that used were test and non test. Test in the form of pretest and posttest multiple choice with three answer choice that enclosed with reason while non test in the form interview. Statistic test that used is Wilcoxon test, obtained Tkhitung(0,0)<Ttabel(6) so that occur significant misconception difference. The average reduction misconception of student is 40,5%. Calculation effect size use Gene Glasss formula, obtained in the amount of 3,22 and its amount more than 0,7 so that its effectiveness is high. Students response obtained from interview. Student give positive response on an average Concept Attainment instruction model assisted Mind Map

Meningkatkan Hasil Belajar Fisika Menggunakan Strategi Question Student Have Berbantuan Animasi di SMP

This research aims to improve student learning outcomes using Question Student Have strategy with animation media on light reflection in class VIII of MTS Al-Islamiya Rahaudatul Peniti Luar. There are 27 students involved in the study of this classroom action research. Based on data analysis concluded that the used of Question Student Have strategies with animation media can improve student learning outcomes in light reflection. Before the research was conducted, the average of student learning outcomes reached KKM (Criteria Complete Minimal) of 65.5. The number of students who reached KKM were 10 people with a percentage of 36.7%. After being given the action I, the average result of learning was 66.67. The number of students who reached KKM were 17 people with a percentage of 63%. The percentage of students who reached KKM increased by 26.3%. After being given a second action, the average learning outcomes was 73.3. The number of students who reached KKM for 21 people with a percentage of 77.8%. The percentage of students who reached KKM increased by 14.8%