scholarly journals Computational mechanisms of distributed value representations and mixed learning strategies

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Shiva Farashahi ◽  
Alireza Soltani
Keyword(s):  
Learning Strategies ◽  
Learning Strategy ◽  
Learning Task ◽  
Neural Mechanisms ◽  
Inhibitory Neurons ◽  
Probabilistic Learning ◽  
Informative Feature ◽  
Human Participants ◽  
Alternative Solutions ◽  
Combining Estimates

AbstractLearning appropriate representations of the reward environment is challenging in the real world where there are many options, each with multiple attributes or features. Despite existence of alternative solutions for this challenge, neural mechanisms underlying emergence and adoption of value representations and learning strategies remain unknown. To address this, we measure learning and choice during a multi-dimensional probabilistic learning task in humans and trained recurrent neural networks (RNNs) to capture our experimental observations. We find that human participants estimate stimulus-outcome associations by learning and combining estimates of reward probabilities associated with the informative feature followed by those of informative conjunctions. Through analyzing representations, connectivity, and lesioning of the RNNs, we demonstrate this mixed learning strategy relies on a distributed neural code and opponency between excitatory and inhibitory neurons through value-dependent disinhibition. Together, our results suggest computational and neural mechanisms underlying emergence of complex learning strategies in naturalistic settings.

scholarly journals Neural mechanisms of distributed value representations and learning strategies

2021 ◽  
Author(s):  
Shiva Farashahi ◽  
Alireza Soltani
Keyword(s):  
Neural Networks ◽  
Learning Strategies ◽  
Recurrent Neural Networks ◽  
Learning Strategy ◽  
Learning Task ◽  
Neural Mechanisms ◽  
Probabilistic Learning ◽  
Informative Feature ◽  
Alternative Solutions ◽  
Combining Estimates

AbstractLearning appropriate representations of the reward environment is extremely challenging in the real world where there are many options to learn about and these options have many attributes or features. Despite existence of alternative solutions for this challenge, neural mechanisms underlying emergence and adoption of value representations and learning strategies remain unknown. To address this, we measured learning and choice during a novel multi-dimensional probabilistic learning task in humans and trained recurrent neural networks (RNNs) to capture our experimental observations. We found that participants estimate stimulus-outcome associations by learning and combining estimates of reward probabilities associated with the informative feature followed by those of informative conjunctions. Through analyzing representations, connectivity, and lesioning of the RNNs, we demonstrate this mixed learning strategy relies on a distributed neural code and distinct contributions of inhibitory and excitatory neurons. Together, our results reveal neural mechanisms underlying emergence of complex learning strategies in naturalistic settings.

scholarly journals ELT Teachers Attitude towards Language Learning Strategies Used in Southern Punjab, Pakistan

2019 ◽  
Vol IV (I) ◽  
pp. 271-280
Author(s):  
Abdul Khaliq ◽  
Akbar Ali ◽  
Fazal Hanan
Keyword(s):  
Language Learning ◽  
Learning Strategies ◽  
Learning Process ◽  
Teaching Methods ◽  
Learning Strategy ◽  
Learning Task ◽  
Language Learning Strategies ◽  
Learning And Teaching ◽  
Learning Techniques ◽  
Almost All

The present study throws light on language learning strategies, their effect on learning and instructors attitude in this respect .It defines that a learning strategy is a learners approach of understanding and employing particular skills in order to accomplish learning task efficiently. It also stresses that todays learner is smart enough to devise ways and methods to accelerate learning process. Learners use these techniques according to their needs and stage of learning. In parallel, it also explains that these techniques effect the behavior of instructor and his teaching methods as well. The researcher collected data from 110 participants of different schools, colleges and universities of Dera Ghazi (DG) Khan through questionnaire. This study shows that almost all the learners andteachers are inclined to use different learning techniques and improve their performance in this way. The researcher also identified strategies that are commonly used by learners and teachers to facilitate learning and teaching.

scholarly journals Modulation of neural activity in frontopolar cortex drives reward-based motor learning

2021 ◽  
Author(s):  
Maria Herrojo Ruiz ◽  
Tom Maudrich ◽  
Benjamin Kalloch ◽  
Daniela Sammler ◽  
Rouven Kenville ◽  
...  
Keyword(s):  
Motor Learning ◽  
Learning Strategy ◽  
Computational Modelling ◽  
Learning Task ◽  
Motor Sequence ◽  
Healthy Human ◽  
Frontopolar Cortex ◽  
Human Participants ◽  
Efficient Learning ◽  
The Right

Abstract The frontopolar cortex (FPC) contributes to tracking the reward of alternative choices during decision making, as well as their reliability. Whether this FPC function extends to reward gradients associated with continuous movements during motor learning remains unknown. We used anodal transcranial direct current stimulation (tDCS) over the right FPC to investigate its role in reward-based motor learning. Nineteen healthy human participants completed a motor sequence learning task using trialwise reward feedback to discover a hidden goal along a continuous dimension: timing. As additional conditions, we modulated the contralateral motor cortex (left M1) activity, and included a control sham stimulation. Right FPC-tDCS led to faster learning compared to lM1-tDCS and sham through regulation of motor variability. Computational modelling revealed that in all stimulation protocols, an increase in the trialwise expectation of reward was followed by greater exploitation, as shown previously. Yet, this association was weaker in lM1-tDCS suggesting a less efficient learning strategy. The effects of frontopolar stimulation were dissociated from those induced by lM1-tDCS and sham, as motor exploration was more sensitive to inferred changes in the reward tendency (volatility). The findings suggest that rFPC-tDCS increases the sensitivity of motor exploration to updates in reward volatility, accelerating reward-based motor learning.

STRATEGI PEMBELAJARAN DAN MOTIF BERPRESTASI TERHADAP HASIL BELAJAR MATA PELAJARAN MENGGAMBAR TEKNIK

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Timbul Purba ◽  
Harun Sitompul
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Student Learning Outcomes ◽  
High Achievement ◽  
Low Achievement ◽  
Significance Level ◽  
Achievement Motive ◽  
Analysis Technique

Abstrak: Penelitian ini bertujuan: (1) hasil belajar menggambar teknik siswa yang diajar dengan strategi pembelajaran elaborasi lebih tinggi dibandingkan dengan siswa yang diajar dengan strategi pembelajaran ekspositori, (2) hasil belajar menggambar teknik siswa yang memiliki motif berprestasi tinggi lebih tinggi dibandingkan dengan siswa yang memiliki motif berprestasi rendah dan (3) interaksi antara strategi pembelajaran dengan motif berprestasi dalam mempengaruhi hasil belajar menggambar teknik siswa. Metode penelitian menggunakan metode quasi eksperimen dengan desain penelitian faktorial 2x2, sedangkan teknik analisis data menggunakan ANAVA dua jalur pada taraf signifikansi a = 0.05. Hasil penelitian diperoleh: (1) hasil belajar menggambar teknik siswa yang diajar dengan strategi pembelajaran elaborasi lebih tinggi dibandingkan dengan hasil belajar siswa yang diajar dengan strategi pembelajaran ekspositori, (2) hasil belajar menggambar teknik siswa yang memiliki motif berprestasi tinggi lebih tinggi dibandingkan dengan hasil belajar siswa yang memiliki motif berprestasi rendah dan (3) terdapat interaksi antara strategi pembelajaran dengan motif berprestasi dalam mempengaruhi hasil belajar menggambar teknik siswa.   Kata Kunci: strategi pembelajaran elaborasi dan ekspositori, motif berprestasi, hasil belajar menggambar teknik   Abstract: This research was aimed to: (1) the learning outcomes of students who are taught drawing techniques with learning strategy elaboration higher than students taught by expository learning strategy, (2) drawing techniques learning outcomes of students who have high achievement motive higher than students who have low achievement motive, and (3) the interaction between learning strategy and achievement motives in affecting student learning outcomes drawing techniques. The research method used was quasi experiment with 2 x 2 factorial design. The analysis technique used is the two-track analysis of variance ANOVA (2 x 2) with a significance level α = 0.05. The findings of the study indicate: (1) the learning outcomes of students who are taught drawing techniques with learning strategy elaboration higher learning outcomes than students taught by expository learning strategy; (2) drawing techniques learning outcomes of students who have high achievement motive higher than the learning outcomes of students who have low achievement motive; and (3) there is interaction between learning strategy and achievement motives in affecting student learning outcomes drawing techniques. Keywords: elaboration learning strategies and expository, achievement motive, the result of learning drawing techniques

PENGARUH STRATEGI PEMBELAJARAN DAN TIPE KEPRIBADIAN SISWA TERHADAP HASIL BELAJAR EKONOMI

2017 ◽  
Vol 10 (2) ◽  
pp. 151
Author(s):  
Harningsih Fitri Situmorang
Keyword(s):  
Learning Outcomes ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Problem Based Learning ◽  
Personality Type ◽  
Student Learning Outcomes ◽  
Personality Types ◽  
Descriptive Statistics ◽  
Scheffe Test ◽  
Inferential Statistic

Abstrak: Penelitian ini bertujuan :(1) Untuk mengetahui hasil belajar ekonomi siswa yang diajar dengan strategi pembelajaran berbasis masalah lebih tinggi dari siswa yang diajar dengan strategi pembelajaran ekspositori. (2) Untuk mengetahui hasil belajar  ekonomi siswa yang memiliki tipe kepribadian ekstrovert dan siswa yang memiliki kepribadian introvert. (3) Untuk mengetahui interaksi antara strategi pembelajaran dengan tipe kepribadian  terhadap hasil belajar Ekonomi. Metode penelitian yang digunakan adalah kuasi eksperimen dengan desain faktorial 2 x 2. Uji statistik yang digunakan adalah statistik deskriptif untuk menyajikan data dan dilanjutkan dengan statistik inferensial dengan menggunakan ANAVA dua jalur dengan taraf signifikan α = 0,05 yang dilanjutkan dengan uji Scheffe. Hasil penelitian menunjukkan: (1) hasil belajar ekonomi siswa yang diajarkan dengan strategi pembelajaran berbasis masalah lebih tinggi dari pada hasil belajar ekonomi siswa yang diajarkan dengan strategi pembelajaran ekspositori; (2) hasil belajar ekonomi siswa yang memiliki kepribadian ekstrovert lebih tinggi dari pada hasil belajar ekonomi siswa yang memiliki tipe kepribadian introvert; (3) terdapat interaksi antara strategi pembelajaran dengan tipe kepribadian  dalam mempengaruhi hasil belajar siswa. Hipotesis ini menunjukkan bahwa strategi pembelajaran berbasis masalah lebih tepat daripada model pembelajaran ekspositori dalam meningkatkan hasil belajar ekonomi siswa, dan siswa yang memiliki tipe kepribadian ekstrovert akan memperoleh hasil yang lebih baik dari pada siswa yang memiliki tipe kepribadian introvert. Kata Kunci: strategi pembelajaran, tipe kepribadian, hasil belajar ekonomi. Abstract: This study aims: (1) To find out the results of students' economic learning taught by problem-based learning strategy is higher than students who are taught by expository learning strategy. (2) To know the economic learning result of students who have extrovert personality type and students who have introverted personality. (3) To know the interaction between learning strategy with personality type to Economic learning result. The research method used is quasi experiment with 2 x 2 factorial design. Statistical test used is descriptive statistics to present the data and continued with inferential statistic by using two way ANOVA with significant level α = 0,05 followed by Scheffe test. The results showed: (1) the students 'economic learning outcomes taught with problem-based learning strategy is higher than the students' economic learning outcomes taught with expository learning strategies; (2) the students 'economic learning outcomes that have extroverted personality is higher than the students' economic learning outcomes that have introverted personality types; (3) there is interaction between learning strategy with personality type in influencing student learning outcomes. This hypothesis suggests that problem-based learning strategies are more appropriate than expository learning models in improving students' economic learning outcomes, and students with extroverted personality types will achieve better outcomes than students with introverted personality types. Keywords: learning strategy, personality type, economic learning result

MODIFIKASI MODEL PEMBELAJARAN QUANTUM LEARNING DENGAN STRATEGI PEMBELAJARAN TUGAS DAN PAKSA

2019 ◽  
Vol 2 ◽  
Author(s):  
Erna Pebriana ◽  
Bela Mustika Sari ◽  
Yasa Abdurrahman
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Learning Strategies ◽  
Learning Process ◽  
Learning Strategy ◽  
Mathematics Learning ◽  
Learning Approaches ◽  
Quantum Learning ◽  
Task Strategies ◽  
Improve Student Learning

This writing aims to make students more active and disciplined in the learning process and can also increase creativity and learning outcomes. The low mathematics learning outcomes are not only due to difficult mathematics, but are caused by several factors which include students themselves, teachers, learning approaches, and learning environments that are interconnected with each other. To improve the ability and results of learning it is necessary to make modifications to the task learning strategy and force. Quantum learning is a tip, a guide, a strategy and an entire learning process that can sharpen understanding and memory, and make learning a pleasant and useful process. Task and Forced Learning Strategies are strategies that focus on giving assignments and a little coercion so that students complete their tasks on time so that the learning process can run effectively. Therefore, the writer modifies the model of quantum learning with task and forced learning strategies, the results of this modification show that learning with quantum learning models with forced and task strategies can improve the learning process so that students become more disciplined in doing tasks, can motivate student learning, and can improve student learning outcomes.

Model-Based and Model-Free Social Cognition

2019 ◽  
Author(s):  
Leor M Hackel ◽  
Jeffrey Jordan Berg ◽  
Björn Lindström ◽  
David Amodio
Keyword(s):  
Reinforcement Learning ◽  
Social Cognition ◽  
Learning Strategies ◽  
Memory Systems ◽  
Learning Task ◽  
Financial Advisors ◽  
Model Based ◽  
Model Free ◽  
Systems Model ◽  
Task Assessment

Do habits play a role in our social impressions? To investigate the contribution of habits to the formation of social attitudes, we examined the roles of model-free and model-based reinforcement learning in social interactions—computations linked in past work to habit and planning, respectively. Participants in this study learned about novel individuals in a sequential reinforcement learning paradigm, choosing financial advisors who led them to high- or low-paying stocks. Results indicated that participants relied on both model-based and model-free learning, such that each independently predicted choice during the learning task and self-reported liking in a post-task assessment. Specifically, participants liked advisors who could provide large future rewards as well as advisors who had provided them with large rewards in the past. Moreover, participants varied in their use of model-based and model-free learning strategies, and this individual difference influenced the way in which learning related to self-reported attitudes: among participants who relied more on model-free learning, model-free social learning related more to post-task attitudes. We discuss implications for attitudes, trait impressions, and social behavior, as well as the role of habits in a memory systems model of social cognition.

PENGARUH STRATEGI PEMBELAJARAN E-LEARNING DAN MINAT BELAJAR TERHADAP HASIL BELAJAR AKUNTANSI

Akademika ◽  
2019 ◽  
Vol 8 (01) ◽  
pp. 81-100
Author(s):  
Eva Kristiyani ◽  
Iffah Budiningsih
Keyword(s):  
Learning Outcomes ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Sampling Technique ◽  
Student Group ◽  
Design Factor ◽  
Significant Difference ◽  
E Learning ◽  
Learning Interest ◽  
Equivalent Class

The aim of this research is to know the influence of e-learning learning strategy and interest in learning to accounting learning result. This research was conducted at SMK Permata Bangsa Kelurahan Jakasetia, South Bekasi Subdistrict, Bekasi City involving 56 samples taken with random sampling technique to the equivalent class. Instrument used in this research is the accounting test and questionnaire interest in student learning; and the data analysis using two-way ANAVA and Tukey Test. The results of this study obtained: (1) there is a significant difference between the learning outcomes of students who are taught with e-learning learning strategies and expository strategies in which the results of student accounting learning taught by e-learning strategy is higher than the students taught by strategy expository learning. (2) There is an interaction between students who are taught using learning strategies with interest in learning on accounting learning outcomes. (3) This means that the result of group accounting learning which is taught using e-learning learning strategy is significantly higher than that taught using expository learning strategy in students who have high learning interest. (4) While the learning result of student group accounting that is taught using e-learning strategy is same as learning result which is taught using expository learning strategy to students who have low learning interest, influenced by student environment factor and learning design factor in research.

THE EFFECT OF LEARNING STRATEGY ON MATHEMATICS LEARNING OUTCOMES IN CLASS IV STUDENTS AT PRIMARY SCHOOL 09 KABA WETAN

2020 ◽  
Vol 3 (1) ◽  
pp. 67-83
Author(s):  
Ahmad Abdul Rochim ◽  
Siti Bandiah
Keyword(s):  
Learning Outcomes ◽  
Learning Strategies ◽  
Design Research ◽  
Learning Strategy ◽  
Interactive Learning ◽  
Mathematics Learning ◽  
Problem Based Learning ◽  
Sampling Technique ◽  
Analysis Technique ◽  
Class Iv

The accuracy in choosing a learning strategy is a very important part in efforts to improve the achievement of student learning outcomes. Therefore this study aims to determine the effect of learning strategies on mathematics learning outcomes. This study uses a 2x2 factorial design research. Through this design the effects of Interactive learning strategies and problem-based learning will be compared to student mathematics learning outcomes. The population in this study were all students of grade IV SDN 09 Kaba Wetan, totaling 76 students, consisting of 2 classes. To determine the sample class, a random sampling technique is used. The sample classes used were 2 classes totaling 76 students, class IV-A as an Interactive class and class IV-B as a problem-based class. The data analysis technique used is descriptive and inferential statistical techniques. And testing the analysis requirements is the normality test using the Lilifors Test, while the homogeneity requirements are using the F Test and Barlett Test. After testing the analysis requirements, the two-way variance analysis of Analilsis is performed. The results of this study indicate that there is an interaction effect between learning strategies on student mathematics learning outcomes. So that the selection of appropriate learning strategies is influenced by the ability of teachers to understand the characteristics of their students. In the learning strategy applied by the teacher can optimize student mathematics learning outcomes by choosing class strategies namely Interactive learning and problem based learning classes.

scholarly journals Knowledge-guided multiobjective particle swarm optimization with fusion learning strategies

2021 ◽  
Author(s):  
Wei Li ◽  
Xiang Meng ◽  
Ying Huang ◽  
Soroosh Mahmoodi
Keyword(s):  
Particle Swarm Optimization ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Particle Swarm ◽  
Population Diversity ◽  
Selection Strategy ◽  
Rapid Loss ◽  
Solution Quality ◽  
Swarm Optimization ◽  
Multiobjective Particle Swarm Optimization

AbstractMultiobjective particle swarm optimization (MOPSO) algorithm faces the difficulty of prematurity and insufficient diversity due to the selection of inappropriate leaders and inefficient evolution strategies. Therefore, to circumvent the rapid loss of population diversity and premature convergence in MOPSO, this paper proposes a knowledge-guided multiobjective particle swarm optimization using fusion learning strategies (KGMOPSO), in which an improved leadership selection strategy based on knowledge utilization is presented to select the appropriate global leader for improving the convergence ability of the algorithm. Furthermore, the similarity between different individuals is dynamically measured to detect the diversity of the current population, and a diversity-enhanced learning strategy is proposed to prevent the rapid loss of population diversity. Additionally, a maximum and minimum crowding distance strategy is employed to obtain excellent nondominated solutions. The proposed KGMOPSO algorithm is evaluated by comparisons with the existing state-of-the-art multiobjective optimization algorithms on the ZDT and DTLZ test instances. Experimental results illustrate that KGMOPSO is superior to other multiobjective algorithms with regard to solution quality and diversity maintenance.

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