A Look at the Processes of Developing Math Activities: Pre-service Primary Teachers

Activities, which are defined as activities that support students’ mathematical learning and increase their levels of mathematic learning, enable the individual to be active by mentally and physically engaging in an action, to establish a cause-effect relationship, and to satisfy his/her curiosity. In this respect, activities have an important effect on the attitude towards mathematics. For this reason, it was aimed to examine the math activity preparation processes of pre-school primary teachers in the current study. To this end, the study was designed in accordance with the case study design, one of the qualitative research methods. In the analysis of the collected data, content analysis was employed. As a result of the study, it was found that the pre-service teachers prepared the activities themselves, they used books and the internet during the development process, and they prepared the activities for the introduction and ending sections of the lesson. In addition, it was observed that while preparing the activity, they considered its suitability for the level of the students and for the purpose of the lesson, they did not take into account individual differences while preparing the activities, and they made use of daily life examples in the activities. The pre-service teachers stated that they had difficulties in preparing activities suitable for the level of the students and stated that they did not consider themselves adequate in preparing activities. Therefore, more emphasis should be placed on improving the skills of developing activities suitable for primary school mathematics lessons in teacher training faculties.

A Look at the Processes of Developing Math Activities: Pre-service Primary Teachers

Activities, which are defined as activities that support students’ mathematical learning and increase their levels of mathematic learning, enable the individual to be active by mentally and physically engaging in an action, to establish a cause-effect relationship, and to satisfy his/her curiosity. In this respect, activities have an important effect on the attitude towards mathematics. For this reason, it was aimed to examine the math activity preparation processes of pre-school primary teachers in the current study. To this end, the study was designed in accordance with the case study design, one of the qualitative research methods. In the analysis of the collected data, content analysis was employed. As a result of the study, it was found that the pre-service teachers prepared the activities themselves, they used books and the internet during the development process, and they prepared the activities for the introduction and ending sections of the lesson. In addition, it was observed that while preparing the activity, they considered its suitability for the level of the students and for the purpose of the lesson, they did not take into account individual differences while preparing the activities, and they made use of daily life examples in the activities. The pre-service teachers stated that they had difficulties in preparing activities suitable for the level of the students and stated that they did not consider themselves adequate in preparing activities. Therefore, more emphasis should be placed on improving the skills of developing activities suitable for primary school mathematics lessons in teacher training faculties.

Design of 8-Bit ALU Design using GDI Techniques with Less Power and Delay

Arithmetic Logic Unit (ALU) is a substantial fragment of microchip. Cutting-edge computerized processors, legitimate and math activity accomplishes making use of ALU. This paper depicts an 8-Bit ALU operating with a lowest power 11-Transistor Full Adder (11-T FA) and Gate dispersion input (GDI) centered MUX. All structures were simulated using Tanner EDA software version-15 with 32 nanometer BSIM4 innovation. Execution examinations were furnished as for voltage, power, postponement and power delay item. In this paper 8-bit ALU operated in subthreshold region, selected 0.7 VDD for maintain the both power as well as delay. In 8-bit ALU of GDI proposed model, less than 82% power consumption reduced as compare with CMOS 8-Bit ALU due to voltage level improvement.

UPAYA MENINGKATKAN PEMAHAMAN KONSEP DAN DISPOSISI MATEMATIS MENGGUNAKAN MODEL PEMBELAJARAN TREFFINGER DI SMA NEGERI 1 ANGKOLA BARAT

his type of research is Class Action Research. Where the subject of the research is the grade X5 SMA Negeri 1 Angkola West which consists of 38 students. While the techniques and tools to capture data that is now, tests and observations. The percentage of students on mathematical disposition now cycle I was 50.26% to 81.57% in cycle II. With the amount of the percentage increase in students ' mathematical disposition of 31.31%. Understanding of the mathematical concepts of students increases, it is retrieved from the percentage of the cycle I 52.63% become 81.39% in cycle II, students and the amount of the percentage rose 28.94%. Students learn math activity increases; it is retrieved from 63.98% percentage of the cycle I and 63.98% in cycle II. With the amount of the percentage increase in the activity of students of 22.94%. The ability of the teacher to manage learning percentage amounted to 64.00% in cycle I and cycle II 83.00%, with an increase of 19.00%. The results of this study showed that the learning model Treffinger might improve the understanding of mathematical concepts and disposition of the students of class X5 SMA Negeri 1 Angkola West.Keywords: The Learning Model Treffinger, understanding Mathematical concepts, Dispositions, SPLDV.

Brainwaves feature classification by applying K-Means clustering using single-sensor EEG

The use of brainwave signal is a step in the introduction of the individual identity using biometric technology based on characteristics of the body. Brainwave signal has unique characteristics and different on each individual because the brainwave cannot be read or copied by people so it is not possible to have a similarity of one person with another person. To be able to process the identification of individual characteristics, which obtained from the signal brainwave, required a pattern of brain activity that is prominent and constant. Cognitive activity testing using a single-sensor EEG (Electroencephalogram) divided into two categories, called the activity of cognitive involving the ability of the right brain (creativity, imagination, holistic thinking, intuition, arts, rhythms, nonverbal, feelings, visualization, tune of songs, daydreaming) and the left brain (logic, analysis, sequences, linear, mathematics, language, facts, think in words, word of songs, computation) give a different cluster based on two times the test on mathematical activities (no cluster slices of experiment 1 and experiment 2). The result showed that cognitive activity based on math activity can provide a signal characteristic that can be used as the basis for a brain-computer interface applications development by utilizing EEG single-sensor.