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Self-study in learning foreign language: 190 To conclude, research can be fun, interesting and fascinating. A feeling of accomplishment, satisfaction, and pride can be the result of contributing to the ―greater cause‖ of our ―way of knowing.‖ Research is a complex, exacting, and complex process that yields the ultimate reward of truth or at least a path leading to it [Bailey, D. M.: 1997]. Using innovative ways of doing research is one to achieve a great goal. REFERENCES: 1. Çaparlar CÖ, Dönmez A. What is Scientific Research and How Ca

Ренессанс в парадигме новаций образования и технологий в XXI веке, 2022-05 (1), p.191-193

2022

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Machine Learning: ECML-98: 10th European Conference on Machine Learning Chemnitz, Germany, April 21–23, 1998 Proceedings

1998

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Imitation Learning: A Survey of Learning Methods

ACM computing surveys, 2018-06, Vol.50 (2), p.1-35

2018

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Machine Learning: ECML-95: 8th European Conference on Machine Learning Heraclion, Crete, Greece, April 25–27, 1995 Proceedings

1995

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CX3CR1 + monocytes modulate learning and learning-dependent dendritic spine remodeling via TNF-α

Nature medicine, 2017-06, Vol.23 (6), p.714-722

2017

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Chatbots for language learning—Are they really useful? A systematic review of chatbot‐supported language learning

Journal of computer assisted learning, 2022-02, Vol.38 (1), p.237-257

2022

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Adaptive gamification in e-learning based on students' learning styles

Interactive learning environments, 2021-05, Vol.29 (4), p.545-565

2021

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Benefits and drawbacks of distance learning in teaching language: Global dunyoda ilm-fan va ta‘limdagi innovatsion rivojlanishning zamonaviy trendlari 15 dekabr, 2022 yil. 372 Abstract: This article illustrates current trends in online teaching a language. However, the article discusses advantages and disadvantages of distance teaching. For the time be-ing new innovative technologies, allow an opportunity to learn and teach target language without any awkwardness. Keywords: innovations, electronic technologies, global pandemic, distance learning, ac- cessible

Современные тенденции инновационного развития науки и образования в глобальном мире, 2023-03, Vol.1 (3), p.372-375

Nizomova, Iroda

2023

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Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

International journal of production research, 2021-06, Vol.59 (11), p.3360-3377

2021

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Learning SO

International journal of computer vision, 2020-03, Vol.128 (3), p.588

2020

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Machine Learning: ECML-94: European Conference on Machine Learning Catania, Italy, April 6–8, 1994 Proceedings

1994

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Machine Learning: ECML-97: 9th European Conference on Machine Learning Prague, Czech Republic, April 23–25, 1997 Proceedings

1997

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Unpacking the learning-work nexus: 'priming' as lever for high-quality learning outcomes in work-integrated learning curricula

Studies in higher education (Dorchester-on-Thames), 2015-01, Vol.40 (1), p.22-42

2015

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Deep learning

Nature (London), 2015-05, Vol.521 (7553), p.436-444

2015

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Algorithmic Learning Theory: 4th International Workshop on Analogical and Inductive Inference, AII '94 5th International Workshop on Algorithmic Learning Theory, ALT '94 Reinhardsbrunn Castle, Germany October 10–15, 1994 Proceedings

1994

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Deep learning

Nature methods, 2016-01, Vol.13 (1), p.35-35

Rusk, Nicole

2016

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Pedagogy and innovative teaching methods in the xxi century: 210 same time it is a reflection of the manifestation of the will or internal acceptance of the value of the task [ Ryan R.M., Deci E.L. ] Motives and motivation are the driving force behind the learning process. It is motivation that is the main means that will make it possible to increase the level of students' interest in the educational process. Therefore, the education system as a whole and teachers, as the most important subjects of this system, should always pay great attention to the pri

Ренессанс в парадигме новаций образования и технологий в XXI веке, 2022-05 (1), p.211-213

2022

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Machine learning and deep learning

Electronic markets, 2021-09, Vol.31 (3), p.685-695

2021

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Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning

Educational Technology ＆ Society, 2017-07, Vol.20 (3), p.158-169

2017

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The Effectiveness of the Flipped Classroom on Students' Learning Achievement and Learning Motivation: A Meta-Analysis

Educational Technology ＆ Society, 2020-01, Vol.23 (1), p.1-15

2020

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Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children’s learning and emotive engagement

Computers and education, 2020-06, Vol.150, p.103836, Article 103836

2020

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Federated Learning

Synthesis lectures on artificial intelligence and machine learning, 2020, Vol.13 (3), p.1-207

2020

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Increased fear learning, spatial learning as well as neophobia in Rgs2−/− mice

Genes, brain and behavior, 2018-04, Vol.17 (4), p.e12420-n/a

2018

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Effects of Feedback in a Computer-Based Learning Environment on Students' Learning Outcomes: A Meta-Analysis

Review of educational research, 2015-12, Vol.85 (4), p.475-511

2015

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Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

Expert systems, 2022-03, Vol.39 (3), p.e12759-n/a

2022

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Machine Learning: ECML-98: 10th European Conference on Machine Learning Chemnitz, Germany, April 21–23, 1998 Proceedings

Imitation Learning: A Survey of Learning Methods

Machine Learning: ECML-95: 8th European Conference on Machine Learning Heraclion, Crete, Greece, April 25–27, 1995 Proceedings

CX3CR1 + monocytes modulate learning and learning-dependent dendritic spine remodeling via TNF-α

Chatbots for language learning—Are they really useful? A systematic review of chatbot‐supported language learning

Adaptive gamification in e-learning based on students' learning styles

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

Learning SO

Machine Learning: ECML-94: European Conference on Machine Learning Catania, Italy, April 6–8, 1994 Proceedings

Machine Learning: ECML-97: 9th European Conference on Machine Learning Prague, Czech Republic, April 23–25, 1997 Proceedings

Unpacking the learning-work nexus: 'priming' as lever for high-quality learning outcomes in work-integrated learning curricula

Deep learning

Algorithmic Learning Theory: 4th International Workshop on Analogical and Inductive Inference, AII '94 5th International Workshop on Algorithmic Learning Theory, ALT '94 Reinhardsbrunn Castle, Germany October 10–15, 1994 Proceedings

Deep learning

Machine learning and deep learning

Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning

The Effectiveness of the Flipped Classroom on Students' Learning Achievement and Learning Motivation: A Meta-Analysis

Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children’s learning and emotive engagement

Federated Learning

Increased fear learning, spatial learning as well as neophobia in Rgs2−/− mice

Effects of Feedback in a Computer-Based Learning Environment on Students' Learning Outcomes: A Meta-Analysis

Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

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