Developing Prediction Skills with Technology

S. Bogolepova

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Developing Prediction Skills with Technology

P. 44–46.

The article deals with different ways of using technology to develop learners' skill of prediction, as one of the metalinguistic skills the recent National Educational Standard puts emphasis on. The use of short videos, Power Point and Wordle word clouds for the purpose is described.

Language: English

Keywords: metalinguistic skills prediction

In book

Rivers of Language, Rivers of Learning. Proceedings of the 18th NATE-Russia Annual Conference. Yaroslavl, May 24-26, 2012

Yaroslavl: Yaroslavl State University, 2012.

Восточная Европа в древности и средневековье. Чтения памяти члена-корреспондента АН СССР В.Т. Пашуто. Выпуск XXXVIII. Будущее в настоящем: предсказания, знамения, видения, сны

М.: ИВИ РАН, 2026.

Выпуск содержит статьи участников XXXVIII Чтений па мяти чл.-корр. АН СССР В.Т. Пашуто, посвященных формам «проявления» будущего в настоящем; месту и роли «будущего в настоящем» в литературном тексте; жанровым особенностям «текстов о будущем»; влиянию предсказаний на реальное бу дущее; социокультурному значению «будущего в настоящем». Эта проблематика раскрывается на материале европейских и азиатских обществ Древности и ...

Added: April 17, 2026

Статус философского предсказания: «Новое Средневековье» Н.А. Бердяева

Morozov D., Философский журнал 2026 Т. 19 № 1 С. 134–146

The article examines the status of philosophical prediction as a distinct type of historiosophical discourse. The specificity of such prediction is analyzed through the case study of N. A. Berdyaev's work “The New Middle Ages”, published in 1924. It presents a substantive vision of an impending era characterized by a revival of a religious worldview. The ...

Added: January 26, 2026

Анализ способов построения математических моделей электрических контактов для исследования процессов образования контактных радиопомех на подвижных объектах

Андреева А. А., Utkin B., Grachev N. N. et al., В кн.: Шарыгинские чтения. Шестая международная научная конференция веду щих научных школ в области радиолокации, радионавигации и радио- электронных систем передачи информации.: Томск: Издательство Томского государственного университета систем управления и радиоэлектроники, 2024. С. 135–140.

A comparison of methods for constructing mathematical models of electrical contacts for studying the formation of contact radio interference is carried out. In particular, three main models of contact resistance control are considered, as well as their analysis and recommendations for their use in solving the problem of predicting contact radio interference are proposed. ...

Added: June 29, 2025

The Role of Arousal and Valence in Predictions of Short Video Virality: A Psychophysiological Perspective

Shelepenkov D., Kosonogov V., Computers in Human Behavior 2026 Vol. 184 Article 109060

In the current digital age, content sharing is widespread, especially on social platforms. Our research explores the intricate relationship between neurophysiological mechanisms, emotions, and information sharing. We involved 28 regular TikTok users, assessing their inclination to share short videos. Alongside participant preferences, we recorded electroencephalographic (EEG) activity and peripheral signals (heart rate, facial muscle activity, ...

Added: June 20, 2025

Insights into the accuracy of social scientists’ forecasts of societal change

Grossmann I., Rotella A., Hutcherson C. et al., Nature Human Behaviour 2023 Vol. 7 No. 4 P. 484–501

How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing the accuracy of predictions of societal change in domains commonly studied in the social sciences: ideological preferences, political polarization, life satisfaction, sentiment on social media, and gender–career and racial bias. After we provided them with historical trend ...

Added: June 7, 2023

TECHNIQUES IN DEVELOPING LISTENING SKILLS WHEN TEACHING INTERPRETERS

Krivoshlykova L., Pushkina A., Ryabkova V., , in: EDULEARN21 Proceedings 13th International Conference on Education and New Learning Technologies July 5th-6th, 2021.: IATED, 2021. P. 1076–1081.

Listening training plays an important role in teaching interpreters. In this regard, educators and psychologists consider the listening stage in the process of translation to be a complex receptive mental and mnemonic activity, which is associated not only with the perception of speech messages, but also with their comprehension and analysis. The aim of the ...

Added: November 14, 2022

Prediction of Wildfires Based on the Spatio-Temporal Variability of Fire Danger Factors

Gizatullin A., Alekseenko N., Geography, Environment, Sustainability 2022 Vol. 15 No. 2 P. 31–37

Most methods in the field of wildfire prevention are based on expert assessment of fire danger factors. However, their weights are usually assumed constant for the entire application area despite the geographical and seasonal changes of factors. This study aimed to develop a wildfire prevention method based on partial and general fire danger ratings taking into account their ...

Added: October 24, 2022

Can Heritage Speakers Predict Lexical and Morphosyntactic Information in Reading?

Parshina O., Lopukhina A., Sekerina I. A., Languages 2022 Vol. 7 No. 1 Article 60

Ample evidence suggests that monolingual adults can successfully generate lexical and morphosyntactic predictions in reading and that correct predictions facilitate sentence comprehension. In this eye-tracking corpus reading study, we investigate whether the same is true for reading in heritage language. Specifically, we ask whether heritage speakers (HSs) of Russian are able to anticipate lexical and/or morphosyntactic information of the ...

Added: March 16, 2022

Implicit auditory perception of local and global irregularities in passive listening condition

Liaukovich K., Ukraintseva Y., Martynova O., Neuropsychologia 2022 Vol. 165 Article 108129

The auditory system detects differences in sounds at an implicit level, but data on this difference might not be sufficient to make explicit discrimination. The biomarkers of implicit auditory memory of ambiguous stimuli could shed light on unconscious auditory processing and implicit auditory learning. Mismatch negativity (MMN) and P3a, components of event-related potentials (ERPs) reflecting stimuli discrimination without direct ...

Added: February 28, 2022

«Всякий, кто мимо идет с лопатою, ныне объект внимания», или к вопросу о когнитивном старении

Falikman M., Петербургский театральный журнал 2021 № 3 С. 14–19

В статье представлен краткий обзор современных исследований так называемого "когнитивного старения": возрастных изменений рабочей памяти, внимания, ментального лексикона, автобиографической памяти личности, а также возможностей компенсации возрастного снижения когнитивных функций. ...

Added: November 4, 2021

Predictions and Algorithmic Statistics for Infinite Sequences

Milovanov A., , in: Computer Science – Theory and Applications: 16th International Computer Science Symposium in Russia, CSR 2021, Sochi, Russia, June 28–July 2, 2021, Proceedings.: Springer, 2021. Ch. 17 P. 283–295.

We combine Solomonoff’s approach to universal prediction with algorithmic statistics and suggest to use the computable measure that provides the best “explanation” for the observed data (in the sense of algorithmic statistics) for prediction. In this way we keep the expected sum of squares of prediction errors bounded (as it was for the Solomonoff’s predictor) ...

Added: August 11, 2021

Predictions of Chalcospinels with Composition ABCX4 (X = S or Se)

Kiselyova N. N., Dudarev V., Ryazanov V. V. et al., Inorganic Materials: Applied Research 2021 Vol. 12 No. 2 P. 328–336

New chalcospinels of the most common compositions were predicted: AIBIIICIVX4 (X = S or Se) and AIIBIIICIIIS4 (A, B, and C are various chemical elements). They are promising for the search for new materials for magneto-optical memory elements, sensors, and anodes in sodium-ion batteries. The parameter “a” values of their crystal lattice are estimated. When predicting, only the ...

Added: April 2, 2021

Estimating educational outcomes from students’ short texts on social media

Smirnov I., EPJ Data Science 2020 Vol. 9 No. 1 P. 27

Digital traces have become an essential source of data in social sciences because they provide new insights into human behavior and allow studies to be conducted on a larger scale. One particular area of interest is the estimation of various users’ characteristics from their texts on social media. Although it has been established that basic ...

Added: October 14, 2020

Прогнозирование психологических характеристик человека на основании его цифровых следов

Латынов В. В., Ovsyannikova V. V., Психология. Журнал Высшей школы экономики 2020 Т. 17 № 1 С. 166–180

The article discusses the prediction of individual psychological characteristics (personality traits, emotional states, values, motives, etc.) based on person’s digital footprints. As studies have shown, such characteristics can be very accurately detected on the basis of various types of digital footprints: texts, images, Internet-surfing features, the nature and duration of phone calls, “likes” (I like), financial transactions, and changes ...

Added: November 23, 2019

Prediction of recurrence and remission within 3 years in patients with Cushing disease after successful transnasal adenomectomy

Nadezhdina E. Y., Rebrova O., Ivaschenko O. V. et al., Pituitary 2019 Vol. 22 No. 6 P. 574–580

Background Some laboratory and clinical features are associated with a probability of recurrence after transnasal adenomectomy for Cushing disease (CD). However, there is no consensus on a set of predictors. Rules for prediction of recurrence were not proposed earlier. Aim To develop prediction model of recurrence/remission after successful neurosurgical treatment for CD. Methods Retrospective single-site comparative study included 349 ...

Added: October 23, 2019

Новые возможности применения методов искусственного интеллекта для моделирования появления и развития заболеваний и оптимизации их профилактики и лечения

Думлер А. А., Черепанов Ф. М., Терапия 2018 № 1(19) С. 109–118

This article is devoted to the methodological issues of the application of artificial intelligence techniques in preventive medicine. We showed a specific example of the neural network application allows not only to diagnose cardiovascular diseases, but also on a quantitative basis to predict their emergence and development in future periods of life. This allows you ...

Added: January 9, 2019

Думлер А. А., Черепанов Ф. М., Терапия 2018 № 1(19) С. 109–118

Added: January 9, 2019

Ensemble method for censored demand prediction

Ozhegov E. M., Teterina D., / Series Computer Science "arxiv.org". 2018. No. arXiv:1810.09166.

Added: October 24, 2018

Математические модели прогнозирования конечного роста и его коэффициента стандартного отклонения у детей с дефицитом гормона роста в российской популяции

Гаврилова А. Е., Нагаева Е. В., Rebrova O. et al., Проблемы эндокринологии 2017 Т. 63 № 5 С. 282–290

Background. Predicting the efficacy of rGH therapy in patients with GH deficiency, based on the final achieved height (FAH) criterion, is an important tool for the clinician. It enables a personalized approach to the treatment of patients with GH deficiency: to recommend careful adherence to the regimen and dosage of the drug, evaluate the efficacy ...

Added: October 2, 2018

Факторы, влияющие на вероятность возникновения рецидива болезни Иценко-Кушинга в течение трех лет после успешного нейрохирургического лечения

Надеждина Е. Ю., Rebrova O., Иващенко О. В. et al., Эндокринная хирургия 2018 Т. 12 № 2 С. 70–80

Background. Cushing's disease (СD) is а severe neuroendocrine disease that can rapidly progress with the development of severe complications of hypercorticism requiring immediate treatment. The main method of treatment is a neurosurgical operation, the effectiveness of which at the present time can reach 80% or more, however, about a quarter of patients after successful neurosurgical ...

Added: October 2, 2018

Methods of Machine Learning for Censored Demand Prediction

Ozhegov E. M., Teterina D., Lecture Notes in Computer Science 2019 Vol. 11331 P. 441–446

In this paper, we analyze a new approach for demand prediction in retail. One of the signicant gaps in demand prediction by machine learning methods is the unaccounted sales data censorship. Econometric approaches to modeling censored demand are used to obtain consistent and unbiased estimates of parameters. These approaches can also be transferred to different ...

Added: October 2, 2018

On Consolidated Predictive Model of the Natural History of Breast Cancer: Primary Tumor and Secondary Metastases in Patients with Lymph Nodes Metastases

Ella Y Tyuryumina, Neznanov A., , in: Proceedings of the 2017 International Conference on Digital Health.: NY: Association for Computing Machinery (ACM), 2017. P. 60–66.

This paper is devoted to mathematical modelling of the progression and stages of breast cancer. The Consolidated mathematical growth Model of primary tumor (PT) and secondary distant metastases (MTS) in patients with lymph nodes MTS (Stage III) (CoM-III) is proposed as a new research tool. The CoM-III rests on an exponential tumor growth model and ...

Added: July 20, 2017

Использование пространственных эконометрических моделей при прогнозе регионального уровня безработицы

Semerikova E. V., Demidova O., Прикладная эконометрика 2016 № 43 С. 29–51

We consider forecasting unemployment in Russian and German region with the help of econometric panel data models. Using regional data from 2005 till 2012 we show that spatial panel data models perform better in terms of forecasting accuracy than other models (on average and at least for some distinct regions) such as non-spatial panel data ...

Added: October 1, 2016

Algorithmic Statistics, Prediction and Machine Learning

Milovanov A., , in: 33rd Symposium on Theoretical Aspects of Computer Science (STACS 2016) Leibniz International Proceedings in Informatics (LIPIcs).: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, 2016. Ch. 54 P. 1–13.

Algorithmic statistics considers the following problem: given a binary string x (e.g., some experimental data), find a “good” explanation of this data. It uses algorithmic information theory to define formally what is a good explanation. In this paper we extend this framework in two directions. First, the explanations are not only interesting in themselves but also used for prediction: we want to ...

Added: June 27, 2016