126 research outputs found
Evaluation of topic-based adaptation and student modeling in QuizGuide
This paper presents an in-depth analysis of a nonconventional topic-based personalization approach for adaptive educational systems (AES) that we have explored for a number of years in the context of university programming courses. With this approach both student modeling and adaptation are based on coarse-grained knowledge units that we called topics. Our motivation for the topic-based personalization was to enhance AES transparency for both teachers and students by utilizing typical topic-based course structures as the foundation for designing all aspects of an AES from the domain model to the end-user interface. We illustrate the details of the topic-based personalization technology, with the help of the Web-based educational service QuizGuideβthe first system to implement it. QuizGuide applies the topic-based personalization to guide students to the right learning material in the context of an undergraduate C programming course. While having a number of architectural and practical advantages, the suggested coarse-grained personalization approach deviates from the common practices toward knowledge modeling in AES. Therefore, we believe that several aspects of QuizGuide required a detailed evaluationβfrom modeling accuracy to the effectiveness of adaptation. The paper discusses how this new student modeling approach can be evaluated, and presents our attempts to evaluate it from multiple different prospects. The evaluation of QuizGuide across several consecutive semesters demonstrates that, although topics do not always support precise user modeling, they can provide a basis for successful personalization in AESs
Coherence maps application for InSAR data accuracy improving
Π ΡΠ°Π±ΠΎΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΊΠ°ΡΡ ΠΊΠΎΠ³Π΅ΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ Π΄Π»Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°Ρ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΎΡΠΎΠ² Ρ ΡΠΈΠ½ΡΠ΅Π·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π°ΠΏΠ΅ΡΡΡΡΠΎΠΉ (Π Π‘Π). ΠΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΡΠ°Π·ΠΌΠ΅ΡΡ ΠΎΠΊΠΎΠ½ ΡΡΡΠ΅Π΄Π½Π΅Π½ΠΈΠΉ, Π΄ΠΎΠΏΡΡΡΠΈΠΌΡΡ
Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π΄Π°Ρ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠ΅Π»ΡΠ΅ΡΠ° ΠΈ ΠΊΠ°ΡΡ ΠΏΠΎΠ΄Π²ΠΈΠΆΠ΅ΠΊ ΡΠ΅Π»ΡΠ΅ΡΠ°, ΠΏΠΎΠ»ΡΡΠ°Π΅ΠΌΡΡ
ΠΏΡΠΈ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅ΠΌΠΊΠ΅, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΊΠ°ΡΡΡ ΠΊΠΎΠ³Π΅ΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΊΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΎΠΉ.The paper presents the analysis of coherence maps application methods for the interferometric SAR images processing. The interferometric coherence is an important indicator of the reliability of the interferograms obtained by the interferometric synthetic aperture radar (InSAR), since the areas with low coherence values are unsuitable for processing the interferometric data. In addition, the coherence is used as a parameter of adaptive phase noise filters, and it can also be used for surface segmentation. The sizes of the averaging windows suitable for the solution of practical problems are experimentally determined. The method of accuracy increasing for the digital elevation maps and displacement maps obtained by InSAR systems based on masking the coherence map is presented. The DEM accuracy improvement in comparison with the classical estimation method is presented
Phase noise suppression in interferometric radar data using goldstein noise filtration
The article is devoted the coherence maps utilization for the phase noise filtration using the Goldstein filter for interferometric synthesized aperture radar (InSAR) images. For the ALOS PALSAR data (FBS imaging mode), four coherence estimation techniques (classical, difference slope compensation, Fourier slope compensation, and Β«peak-FourierΒ») were researched as the Goldstein filter parameter. The filtered interferograms were compared with the reference ground control points reprojected into the radar coordinate system. It is shown that the coherence estimation method affects the quality of the phase noise suppression. Β© 2020 American Institute of Physics Inc.. All rights reserved.This work was supported by the Center of Excellence "Geoinformation technologies and geophysical data complex interpretation" of the Ural Federal University Program (Act 211 Government of the Russian Federation, contract N 02.A03.21.0006)
Enriching Intelligent Textbooks with Interactivity: When Smart Content Allocation Goes Wrong
One of the main directions of increasing the educational value of a digital textbook is its enrichment with interactive content. Such content can come from outside the textbooks - from multiple existing repositories of educational resources. However, finding the right place for such external resources is not always a trivial task. There exist multiple sources of potential problems: from mismatching metadata to mutually contradicting prerequisite-outcome structures of underlying resources, from differences in granularity and coverage to ontological conflicts. In this paper, we make an attempt to categorize these problems and give examples from our recent experiment on automated assignment of smart interactive learning content to the chapters of an intelligent textbook in a programming domain
The problem of quality assessing for the methods of coherence maps calculation in InSAR remote sensing of the Earth data processing
Interferometric coherence is an important indicator of the quality of interferograms obtained by synthetic aperture interferometric radars (InSAR), because the areas with low coherence are not suitable for interferometric data processing. The coherence value is used as a parameter for adaptive phase noise suppression algorithms. It can also be used for surface classification tasks. The paper investigates the problem of the coherence estimate reducing under the influence of the topographic phase slope and considers ways to reduce the impact of the slope on the estimate value. The paper presents a comparative efficiency analysis of four methods for coherence maps calculation used for the phase noise suppression on the interferograms by a spectral adaptive filter in interferometric data processing for the Earth's remote sensing space radar ALOS PALSAR. Β© Published under licence by IOP Publishing Ltd
Editorial:a message from the editorial team and an introduction to the January-March 2016 issue
ΠΠ·Π»ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΌ Π²ΠΎΠ»Π½ΠΎΠ²ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° Π² ΡΠΎΠΎΡΠ½ΡΠ΅ Ρ Π½ΠΈΠΌ ΠΊΠΎΠ½ΡΡΠ½ΡΠ΅ ΠΏΠΎΠ»ΡΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°
Introduction. The present stage of development of hydroacoustic equipment is characterized by a constant improvement of an element base and by an increase in computing power. However, in solving of applied problems one is increasingly faced with a restriction on the realized bandwidth of electroacoustic transducers and antennas. The most of well-known methods of bandwidth expansion do not provide a linear character of the phase-frequency characteristic (PFC) of radiation in the working frequency band, which is of primary importance for the effective formation of relatively short, frequency-tunable, and complex acoustic signals. From this position, the use of a transducer of waveguide type (TWT) is preferential. Its construction and electrical excitation method provides a close to linear phase response of radiation.Aim. The development of a generalized computational model. It has to include particular cases of TWT radiation into cylindrical waveguides coaxial with it and into half-spaces, and also to take into account the influence of waves reflected from the boundaries of the TWT on its field characteristics.Materials and methods. The TWT was presented by a coaxial set of identical water filled piezocylinders with amplitude-phase excitation, provided a mode of broadband radiation in the form of traveling waves. The usage of the method of partial regions allowed one to obtain a solution of the problem of TWT radiation through water filled apertures into the conical adjacent half-spaces, variable in angle.Results. Frequency characteristics of TWT sound pressure results calculated in accordance with the solution of the synthesis problem in the frontal and rear directions for different angles of cone opening were presented and analyzed. Using the proposed computational model of TWT, the possibility of obtaining a bandwidth of the order of 3 octaves was demonstrated. An influence of the thickness of the passive flanges, which are used to link the TWT in the antennas was estimated. The possibility of radiation in the working frequency band of TWT of ultrashort ultra-short single-period pulses for different angles of cone opening was considered. A comparative assessment of the result of calculation with other particular solutions (the radiation by TWT in coaxial water-filled waveguides and also β in half-spaces) was presentedConclusion. An expedient to use a generalized computational model for a more accurate description of the acoustic fields of real antenna models made up of TWT was concluded.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. Π‘ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΉ ΡΡΠ°ΠΏ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π³ΠΈΠ΄ΡΠΎΠ°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Ρ
Π½ΠΈΠΊΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΠΌ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΠΎΠΉ Π±Π°Π·Ρ ΠΈ ΡΠΎΡΡΠΎΠΌ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΌΠΎΡΠ½ΠΎΡΡΠ΅ΠΉ. ΠΠ° ΡΡΠΎΠΌ ΡΡΠ°ΠΏΠ΅ ΠΏΡΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
Π·Π°Π΄Π°Ρ Π²ΡΠ΅ ΡΠ°ΡΠ΅ ΡΡΠ°Π»ΠΊΠΈΠ²Π°ΡΡΡΡ Ρ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΠΈΠ½Ρ ΠΏΠΎΠ»ΠΎΡΡ ΠΏΡΠΎΠΏΡΡΠΊΠ°Π½ΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΠ°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ ΠΈ Π°Π½ΡΠ΅Π½Π½. ΠΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²ΠΎ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΡ ΠΏΠΎΠ»ΠΎΡΡ ΠΏΡΠΎΠΏΡΡΠΊΠ°Π½ΠΈΡ Π½Π΅ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΡΡΡ ΡΠ°Π·ΠΎΡΠ°ΡΡΠΎΡΠ½ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ (Π€Π§Π₯) ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ Π² ΡΠ°Π±ΠΎΡΠ΅ΠΉ ΠΏΠΎΠ»ΠΎΡΠ΅ ΡΠ°ΡΡΠΎΡ, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΈΠΌΠ΅Π΅Ρ ΠΏΠ΅ΡΠ²ΠΎΠΎΡΠ΅ΡΠ΅Π΄Π½ΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π΄Π»Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊΠΎΡΠΎΡΠΊΠΈΡ
, ΠΏΠ΅ΡΠ΅ΡΡΡΠ°ΠΈΠ²Π°Π΅ΠΌΡΡ
ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅ ΠΈ ΡΠ»ΠΎΠΆΠ½ΡΡ
ΠΏΠΎ ΡΡΡΡΠΊΡΡΡΠ΅ Π°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ². Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»Ρ Π²ΠΎΠ»Π½ΠΎΠ²ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° (ΠΠΠ’), ΡΠΏΠΎΡΠΎΠ± ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ·Π±ΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ Π±Π»ΠΈΠ·ΠΊΡΡ ΠΊ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ Π€Π§Π₯ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ.Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΠΎΠΉ ΡΠ°ΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ Π²ΠΊΠ»ΡΡΠ°Π΅Ρ Π² ΡΠ΅Π±Ρ ΡΠ°ΡΡΠ½ΡΠ΅ ΡΠ»ΡΡΠ°ΠΈ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ ΠΠΠ’ Π² ΡΠΎΠΎΡΠ½ΡΠ΅ Ρ Π½ΠΈΠΌ ΡΠΈΠ»ΠΈΠ½Π΄ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²ΠΎΠ»Π½ΠΎΠ²ΠΎΠ΄Ρ ΠΈ Π² ΠΏΠΎΠ»ΡΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΠΈΡΡΠ²Π°Π΅Ρ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π²ΠΎΠ»Π½, ΠΎΡΡΠ°ΠΆΠ΅Π½Π½ΡΡ
ΠΎΡ Π³ΡΠ°Π½ΠΈΡ ΠΠΠ’, Π½Π° Π΅Π³ΠΎ ΠΏΠΎΠ»Π΅Π²ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠΠ’ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΡΠΎΠΎΡΠ½ΡΠΌ Π½Π°Π±ΠΎΡΠΎΠΌ ΠΈΠ΄Π΅Π½ΡΠΈΡΠ½ΡΡ
Π²ΠΎΠ΄ΠΎΠ·Π°ΠΏΠΎΠ»Π½Π΅Π½Π½ΡΡ
ΠΏΡΠ΅Π·ΠΎΡΠΈΠ»ΠΈΠ½Π΄ΡΠΎΠ² Ρ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΠΎ-ΡΠ°Π·ΠΎΠ²ΡΠΌ Π²ΠΎΠ·Π±ΡΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠΈΠΌ ΡΠ΅ΠΆΠΈΠΌ ΡΠΈΡΠΎΠΊΠΎΠΏΠΎΠ»ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎ ΡΠΈΠΏΡ Π±Π΅Π³ΡΡΠ΅ΠΉ Π²ΠΎΠ»Π½Ρ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠ°ΡΡΠΈΡΠ½ΡΡ
ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ΅ΡΠΈΡΡ Π·Π°Π΄Π°ΡΡ ΠΎΠ± ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΠΈ ΠΠΠ’ ΡΠ΅ΡΠ΅Π· Π²ΠΎΠ΄ΠΎΠ·Π°ΠΏΠΎΠ»Π½Π΅Π½Π½ΡΠ΅ Π°ΠΏΠ΅ΡΡΡΡΡ Π² Π³ΡΠ°Π½ΠΈΡΠ°ΡΠΈΠ΅ Ρ Π½ΠΈΠΌΠΈ ΠΊΠΎΠ½ΡΡΠ½ΡΠ΅ ΠΏΠΎΠ»ΡΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° Ρ ΠΈΠ·ΠΌΠ΅Π½ΡΠ΅ΠΌΡΠΌ ΡΠ³Π»ΠΎΠΌ ΡΠ°ΡΠΊΡΡΠ²Π°.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΡΠ°ΡΡΠΎΡΠ½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π·Π²ΡΠΊΠΎΠ²ΠΎΠ³ΠΎ Π΄Π°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΈ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΠΈ ΠΠΠ’, Π²ΠΎΠ·Π±ΡΠΆΠ΄Π°Π΅ΠΌΡΡ
Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ Π·Π°Π΄Π°ΡΠΈ ΡΠΈΠ½ΡΠ΅Π·Π°, Π²ΠΎ ΡΡΠΎΠ½ΡΠ°Π»ΡΠ½ΠΎΠΌ ΠΈ ΡΡΠ»ΡΠ½ΠΎΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΡ
Π΄Π»Ρ ΡΠ°Π·Π½ΡΡ
ΡΠ³Π»ΠΎΠ² ΡΠ°ΡΠΊΡΡΠ²Π° ΠΊΠΎΠ½ΡΡΠΎΠ². Π‘ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΡΠ°ΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΠΠ’ ΠΏΠΎΠΊΠ°Π·Π°Π½Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎΠ»ΠΎΡΡ ΠΏΡΠΎΠΏΡΡΠΊΠ°Π½ΠΈΡ ΠΏΠΎΡΡΠ΄ΠΊΠ° ΡΡΠ΅Ρ
ΠΎΠΊΡΠ°Π². ΠΡΠ΅Π½ΠΈΠ²Π°Π΅ΡΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΎΠ»ΡΠΈΠ½Ρ ΠΏΠ°ΡΡΠΈΠ²Π½ΡΡ
ΡΠ»Π°Π½ΡΠ΅Π², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ Π΄Π»Ρ ΠΊΠΎΠΌΠΏΠΎΠ½ΠΎΠ²ΠΊΠΈ ΠΠΠ’ Π² Π°Π½ΡΠ΅Π½Π½Π°Ρ
. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ Π² ΡΠ°Π±ΠΎΡΠ΅ΠΉ ΠΏΠΎΠ»ΠΎΡΠ΅ ΡΠ°ΡΡΠΎΡ ΠΠΠ’ ΠΏΠ΅ΡΠ΅ΡΡΡΠ°ΠΈΠ²Π°Π΅ΠΌΡΡ
ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅ ΡΠ»ΡΡΡΠ°ΠΊΠΎΡΠΎΡΠΊΠΈΡ
ΠΎΠ΄Π½ΠΎΠΏΠ΅ΡΠΈΠΎΠ΄Π½ΡΡ
ΠΈΠΌΠΏΡΠ»ΡΡΠΎΠ² Π΄Π»Ρ ΡΠ°Π·Π½ΡΡ
ΡΠ³Π»ΠΎΠ² ΡΠ°ΡΠΊΡΡΠ²Π° ΠΊΠΎΠ½ΡΡΠΎΠ². ΠΠ°Π΅ΡΡΡ ΡΠΎΠΏΠΎΡΡΠ°Π²ΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΡΠ°ΡΡΠ΅ΡΠ° Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΡΠ°ΡΡΠ½ΡΠΌΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡΠΌΠΈ: ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΠ΅ ΠΠΠ’ Π² ΡΠΎΠΎΡΠ½ΡΠ΅ Π²ΠΎΠ΄ΠΎΠ·Π°ΠΏΠΎΠ»Π½Π΅Π½Π½ΡΠ΅ Π²ΠΎΠ»Π½ΠΎΠ²ΠΎΠ΄Ρ, Π° ΡΠ°ΠΊΠΆΠ΅ β Π² ΠΏΠΎΠ»ΡΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΠΎΠΉ ΡΠ°ΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π΄Π»Ρ Π±ΠΎΠ»Π΅Π΅ ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ Π°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ»Π΅ΠΉ ΡΠ΅Π°Π»ΡΠ½ΡΡ
ΠΌΠ°ΠΊΠ΅ΡΠΎΠ² Π°Π½ΡΠ΅Π½Π½, ΡΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
ΠΈΠ· ΠΠΠ’
From Interactive Open Learner Modelling to Intelligent Mentoring: STyLE-OLM and Beyond
STyLE-OLM (Dimitrova 2003 International Journal of Artificial Intelligence in Education, 13, 35β78) presented a framework for interactive open learner modelling which entails the development of the means by which learners can inspect, discuss and alter the learner model that has been jointly constructed by themselves and the system. This paper outlines the STyLE-OLM framework and reflects on the key challenges it addressed: (a) the design of an appropriate communication medium; this was addressed by proposing a structured language using diagrammatic presentations of conceptual graphs; (b) the management of the interaction with the learner; this was addressed by designing a framework for interactive open learner modelling dialogue utilising dialogue games; (c) the accommodation of different beliefs about the learnerβs domain model; this was addressed with a mechanism for maintaining different views about the learner beliefs which adapted belief modal logic operators; and (d) the assessment of any resulting improvements in learner model accuracy and learner reflection; this was addressed in a user study with an instantiation of STyLE-OLM for diagnosing a learnerβs knowledge of finance concept, as part of a larger project that developed an intelligent system to assist with learning domain terminology in a foreign language. Reviewing follow on work, we refer to projects by the authorsβ students and colleagues leading to further extension and adoption of STyLE-OLM, as well as relevant approaches in open learner modelling which have cited the STyLE-OLM framework. The paper points at outstanding research challenges and outlines future a research direction to extend interactive open learner modelling towards mentor-like intelligent learning systems
Π€ΠΈΠ·ΠΈΠΊΠΎ-Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΡΡ ΡΠΈΡΠ½ΠΎΠ²ΠΎ-Π»Π΅Π΄ΡΠ½ΡΡ ΠΌΠ°ΡΡΠΈΠ²ΠΎΠ²
The paper presents results of analysis of diurnal and potentially possible efficiency of water freezing aimed at construction of artificial infiltration (firn-ice) masses on the Russiaβs territory. A method of jet ice-formation (winter sprinkling) developed in Institute of Geography of the Russian Academy of Sciences is used for freezing of the artificial firn-ice masses. The method applies far-reaching (long-distance) sprinkler installations for spraying of water and formation of thick (more than 7 m for a day) masses of artificial firn. In winter the sprinkler allows freezing of both the monolithic ice and artificial firn. A practical implementation of this method is licensed and realized for construction of ice passages, bridges, and winter automobile roads. Testing of the method demonstrated that the artificial firn can be used for desalination and purification of polluted salt waters with high efficiency. That is stipulated by both, the high productivity of the method (about 1500 tons of artificial firn for a day at the air temperature of β20Β°Π‘, and low mineralization of the firn relative to initial salt water.Β Winter sprinkling is carried out when mean daily air temperature drops below β5 βΠ‘. Estimating of productivity of the artificial firn and monolithic ice under present-day climatic conditions was made over the Russiaβs territory. Analysis of the climate conditions for periods 2001β2010 and 1961β2000 have shown that reduction of the firn productivity changed from 5-10% in Siberia up to 20β40% in central and southern regions of the European Russia. At the present time, a potentially possible volume of the artificial firn freezing being produced in cold seasons changes from 500 thousand tons in northern areas of Yakutia down to 10 thousand in center of European Russia. Productivity of the monolithic ice freezing by a method of thin-layer water pouring is twice lower in central areas of Yakutia than on the Arctic seashores that is explained by differences in wind speeds. Potentially possible monolithic ice productivity made by means of thin-layer water pouring changes from 56 m of ice thickness in Northern Siberia down to 10 m in center of European Russia. The Northern Yakutia and the River Obβ mouth are two areas of maximal productivity of this method.ΠΠΎΡΡΡΠΎΠ΅Π½Ρ ΠΊΠ°ΡΡΡ ΡΡΡΠΎΡΠ½ΠΎΠΉ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π½Π°ΠΌΠΎΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΈΡΠ½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π·ΠΈΠΌΠ½Π΅Π³ΠΎ Π΄ΠΎΠΆΠ΄Π΅Π²Π°Π½ΠΈΡ Π΄Π»Ρ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΌΠ΅ΡΡΡΠ° Ρ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠΎΠΉ Π²ΠΎΠ·Π΄ΡΡ
Π° Π½ΠΈΠΆΠ΅ β5 Β°Π‘ Π½Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ Π ΠΎΡΡΠΈΠΈ. ΠΡΠ΅Π½Π΅Π½Π° ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Π°Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π½Π°ΠΌΠΎΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ Π»Π΅Π΄ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ Π·ΠΈΠΌΠ½Π΅Π³ΠΎ Π΄ΠΎΠΆΠ΄Π΅Π²Π°Π½ΠΈΡ ΠΈ ΡΠΎΠ½ΠΊΠΎΡΠ»ΠΎΠΉΠ½ΡΠΌ Π½Π°Π»ΠΈΠ²ΠΎΠΌ Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΊΠ»ΠΈΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΡΠΎΠ»Ρ ΠΊΠ»ΠΈΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π½Π°ΠΌΠΎΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ Π² ΡΠ°Π·Π½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π ΠΎΡΡΠΈΠΈ. ΠΠ½Π°Π»ΠΈΠ· ΠΊΠ»ΠΈΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΠΉ Π² 1961β2000 ΠΈ 2001β2010 Π³Π³. ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ Π½Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ Π ΠΎΡΡΠΈΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π½Π°ΠΌΠΎΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΈΡΠ½Π° ΡΠ½ΠΈΠ·ΠΈΠ»Π°ΡΡ Ρ 5β10% Π² Π‘ΠΈΠ±ΠΈΡΠΈ Π΄ΠΎ 20β40% Π² ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΡΡ
ΠΈ ΡΠΆΠ½ΡΡ
ΡΠ°ΠΉΠΎΠ½Π°Ρ
ΠΠ²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠΉ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ Π ΠΎΡΡΠΈΠΈ
- β¦