scholarly journals Reactivating Memories from a Mathematical Task over a Period of Sleep

2021 ◽  
Author(s):  
Adrianna M Bassard ◽  
Ken A Paller
Keyword(s):  
Problem Solving ◽  
Response Time ◽  
Slow Wave Sleep ◽  
Mathematical Problem ◽  
Skill Learning ◽  
Final Test ◽  
Memory Reactivation ◽  
Multiplication Problem ◽  
Fact Learning ◽  
Do So

Sleep, especially slow-wave sleep (SWS), has been found to facilitate memory consolidation for many types of learning. Mathematical learning, however, has seldom been examined in this context. Solving multiplication problems involves multiple steps before problems can be mastered or answers memorized, and thus it can depend on both skill learning and fact learning. Here we aimed to test the hypothesis that memory reactivation during sleep contributes to multiplication learning. To do so, we used a technique known as targeted memory reactivation (TMR), or the pairing of newly learned information with specific stimuli that are later presented during sleep. With TMR, specific memories can be reactivated over a period of sleep without disrupting ongoing sleep. We applied TMR during an afternoon nap to reactivate half of the multiplication problems that had previously been practiced. Results showed no effect of TMR on response time or accuracy of multiplication problem solving. Because these results were unexpected, we also used a variation of this paradigm to examine results in subjects who remained awake. Comparisons between the wake and sleep groups showed no difference in response time or accuracy in either the initial test or the final test. Although neither TMR nor sleep differentially influenced multiplication performance, correlational analysis provided some clues about mathematical problem solving and sleep. On the basis of these findings, even though they did not provide convincing support for our hypotheses, we suggest future experiments that could help produce a better understanding of the relevance of sleep and memory reactivation for this type of learning.

scholarly journals Sleep Facilitates Problem Solving With No Additional Gain Through Targeted Memory Reactivation

2021 ◽  
Vol 15 ◽  
Author(s):  
Felipe Beijamini ◽  
Anthony Valentin ◽  
Roland Jäger ◽  
Jan Born ◽  
Susanne Diekelmann
Keyword(s):  
Problem Solving ◽  
Video Game ◽  
Rem Sleep ◽  
Slow Wave Sleep ◽  
Active Systems ◽  
Memory Reactivation ◽  
Systems Consolidation ◽  
Insight Into ◽  
Problem Solving Task ◽  
Qualitative Changes

According to the active systems consolidation theory, memories undergo reactivation during sleep that can give rise to qualitative changes of the representations. These changes may generate new knowledge such as gaining insight into solutions for problem solving. targeted memory reactivation (TMR) uses learning-associated cues, such as sounds or odors, which have been shown to improve memory consolidation when re-applied during sleep. Here we tested whether TMR during slow wave sleep (SWS) and/or rapid eye movement (REM) sleep increases problem solving. Young healthy volunteers participated in one of two experiments. Experiment 1 tested the effect of natural sleep on problem solving. Subjects were trained in a video game-based problem solving task until being presented with a non-solved challenge. Followed by a ~10-h incubation interval filled with nocturnal sleep or daytime wakefulness, subjects were tested on the problem solving challenge again. Experiment 2 tested the effect of TMR on problem solving, with subjects receiving auditory TMR either during SWS (SWSstim), REM sleep (REMstim), or wakefulness (Wakestim). In Experiment 1, sleep improved problem solving, with 62% of subjects from the Sleep group solving the problem compared to 24% of the Wake group. Subjects with higher amounts of SWS in the Sleep group had a higher chance to solve the problem. In Experiment 2, TMR did not change the sleep effect on problem solving: 56 and 58% of subjects from the SWSstim and REMstim groups solved the problem compared to 57% from the Wakestim group. These findings indicate that sleep, and particularly SWS, facilitates problem solving, whereas this effect is not further increased by TMR.

scholarly journals Students’ Mathematical Problem-Solving Abilities Through The Application of Learning Models Problem Based Learning

2018 ◽  
Author(s):  
Minora Longgom Nasution
Keyword(s):  
Problem Solving ◽  
Mathematical Problem ◽  
Problem Based Learning ◽  
Learning Activities ◽  
Mathematical Problem Solving ◽  
Learning Models ◽  
Final Test ◽  
Group Design ◽  
Static Group ◽  
Better Than

One of the purpose mathematic learning is to develop problem solving abilities. Problem solving is obtained through experience in questioning non-routine. Improving students’ mathematical problem-solving abilities required an appropriate strategy in learning activities one of them is models problem based learning (PBL). Thus, the purpose of this research is to determine whether the problem solving abilities of mathematical students’ who learn to use PBL better than on the ability of students’ mathematical problem solving by applying conventional learning. This research included quasi experiment with static group design and population is students class XI MIA SMAN 1 Lubuk Alung. Class experiment in the class XI MIA 5 and class control in the class XI MIA 6. The instrument of final test students’ mathematical problem solving used essay form. The result of data final test in analyzed with t- test. The result is students’ mathematical problem solving abilities with PBL better then on the ability of students’ mathematical problem solving by applying conventional learning. It’s seen from the high percentage achieved by the group of students who learn to use PBL for each indicator of students’ mathematical problem solving.

PENGEMBANGAN BAHAN AJAR PROBLEM BASED LEARNING KEMAMPUAN PEMECAHAN MASALAH MATERI SPLTV

2019 ◽  
Vol 3 (1) ◽  
pp. 70-80
Author(s):  
Sri Ayu Harani Tanjung ◽  
Yuli Amalia
Keyword(s):  
Problem Solving ◽  
Mathematical Problem ◽  
Problem Based Learning ◽  
Student Response ◽  
Design Development ◽  
Research Subjects ◽  
Teaching Materials ◽  
Problem Solving Skills ◽  
Ability Tests ◽  
Analysis Design

Bahan ajar dikembangkan berdasarkan karakteristik siswa, sehingga kompetensi yang ditetapkan dapat dicapai. Secara umum kemampuan pemecahan masalah siswa masih sangat rendah, siswa belum bisa memahami soal, sehingga terkendala dalam menentukan model penyelesaian soal matematika. Penelitian ini bertujuan untuk mendeskripsikan kevalidan, keefektifan, dan respon siswa terhadap bahan ajar berbasis Problem Based Learning berkemampuan pemecahan masalah yang dikembangkan. Penelitian ini merupakan penelitian pengembangan dengan menggunakan model ADDIE yaitu Analysis, Design, Development, Implementation, dan Evaluation. Subjek Penelitan dalam penelitian ini adalah siswa SMA Negeri 1 Meureubo kelas X Mia2 sebanyak 23 siswa. Instrumen penelitian berupa lembar validasi, angket respon siswa, dan tes. Dari hasil uji coba, pada uji coba I dan II diperoleh bahan ajar berbasis Problem Based Learning yang dikembangkan efektif ditinjau dari 70% siswa yang mengikuti tes kemampuan pemecahan masalah memperoleh nilai minimal 75 dan tercapainya ketuntasan belajar tes kemampuan pemecahan masalah  75% dan respon positif siswa terhadap bahan ajar berbasis Problem Based Learning untuk kemampuan pemecahan masalah yang dikembangkan. Teaching materials are developed based on the characteristics of students, so that the specified competencies can be achieved. In general, students' problem solving abilities are still very low, students have not been able to understand the problem, so it is constrained in determining the mathematical problem solving model. This study aims to describe the validity, effectiveness, and response of students to Problem Based Learning-based teaching materials that are problem-solving skills developed. This research is a development research using ADDIE models namely Analysis, Design, Development, Implementation, and Evaluation. The research subjects in this study were 23 students of Meureubo High School 1 in class Mia2 as many as 23 students. The research instruments were validation sheets, student response questionnaires, and tests. From the results of the trials, in the first and second trials obtained teaching materials based on Problem Based Learning that were developed effectively in terms of 70% of students taking the test of problem solving skills obtained a minimum score of 75 and achievement of learning completeness 75% problem solving ability tests and positive responses for Problem Based Learning based teaching materials for problem solving abilities developed.

Pembelajaran Matematika dengan Model Search, Solve, Create and Share (SSCS) di MAN 1 Muara Labuh

2017 ◽  
Vol 1 (2) ◽  
pp. 200-210
Author(s):  
Rivdya Eliza ◽  
Fitri Aulia
Keyword(s):  
Problem Solving ◽  
Hypothesis Test ◽  
Mathematical Problem ◽  
Learning Model ◽  
Learning Activity ◽  
Control Group ◽  
Learning Models ◽  
Problem Solving Skills ◽  
Model Search ◽  
Quasi Experimental

The purpose of this research are: 1) to know the learning activity of learners mathematics which is taught by Search, Solve, Create, and Share (SSCS), and 2) model to know the ability of problem solving of mathematics learners who taught by SSCS learning model in the class XI MIA MAN 1 Muara Labuh academic year 2016/2017. This research belongs to a kind of quasi-experimental research with randomized control group only design. In this study design, a group of subjects taken from a particular population were randomly assigned into two groups, the experimental group and the control group. After analyzing the data, it is known that the learning activity of the students after applying the SSCS learning model has improved towards the better from the first meeting to the fifth meeting, ie 35%, 45%, 55%, 68%, 77%. Based on the hypothesis test obtained ttable = 1.645 and tcount = 2.598 so obtained (2.598> 1.645) at 95% confidence interval. Because tcount > ttable then hypothesis in this research accepted. Thus, students 'math-problem-solving skills taught by SSCS learning models are higher than the students' uneducated mathematical problem-solving skills with SSCS learning modelsKeywords: Problem solving abilities, search, solve, sreate and share (SSCS) learning models

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