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The use of predictive modeling for assessing college readiness
Ch. 5. P. 83–108.
Chapter 5 introduces software for automating some aspects of developmental education and the use of predictive modeling.
Language:
English
In book
Information Age Publishing Inc., 2022.
Belov A. V., Irina V. Arutyunova, , in: Proceedings of the 2025 INTERNATIONAL CONFERENCE "QUALITY MANAGEMENT, DIGITAL SECURITY, INFORMATION TECHNOLOGIES" (2025 QM&DS&IT).: IEEE, 2025. P. 169–173.
The equipment condition assessment system of the Caspian Pipeline Consortium is purposed to enhance the efficiency of monitoring and to manage the operation of pipeline systems. The primary objective of this initiative is to develop an information system that enables continuous monitoring of pipeline conditions, thereby minimizing maintenance costs and reducing risks associated with potential ...
Added: April 21, 2026
Trofimov S., Ymer 2025 Vol. 24 No. 11 P. 1–18
This paper presents the development of a multi-agent system for managing the technical condition of bus fleets in public transport enterprises. The proposed solution aims to enhance management decision-making processes in vehicle maintenance through the implementation of intelligent agents and data analytics. The system is based on the interaction of two types of agents: "Bus," which collects ...
Added: January 24, 2026
D. Pshychenko, Вестник Воронежского института высоких технологий 2024 Vol. 18 No. 3 Article 14
The article discusses the optimization of business processes using automated control systems based on
artificial intelligence (AI). Modern methods such as machine learning, robotic process automation,
natural language processing, and predictive analytics are examined, which enhance operational
efficiency, improve forecasting accuracy, and minimize errors. The advantages of implementing AI in
various business sectors are analyzed, including the automation of ...
Added: March 10, 2025
Pshichenko D., Инновационная наука 2024 No. 7-2 P. 40–45
This paper evaluates the effectiveness of AI-based Customer Relationship Management (CRM) systems
compared to traditional CRM systems. It examines the impact of AI integration on business operations, focusing
on automation and personalization. A comparative analysis highlights significant advantages of AI-CRM systems
in terms of customer satisfaction and operational efficiency. The study also addresses challenges, including high
implementation costs and ...
Added: March 10, 2025
Bryer J., Andrade H., Cleary T. et al., Educational Technology Research and Development 2025 No. 73 P. 3067–3104
The purpose of this study was to examine the effects and predictive power of the Diagnostic Assessment and Achievement of College Skills (DAACS) on student success. DAACS is an open-source diagnostic assessment tool designed to measure newly enrolled college students’ reading, writing, mathematics, and self-regulated learning skills, and to provide individualized feedback and learning resources ...
Added: February 21, 2025
Yury A. Zelenkov, Angelina S. Suchkova, Business Informatics 2023 Vol. 17 No. 1 P. 7–17
Customer retention is one of the most important tasks of a business, and it is extremely important to allocate retention resources according to the potential profitability of the customer. Most often the problem of predicting customer churn is solved based on the RFM (Recency, Frequency, Monetary) model. This paper proposes a way to extend the ...
Added: April 2, 2023
Information Age Publishing Inc., 2022.
This book introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning. In addition, studies proposing new methods and strategies, technical ...
Added: October 31, 2022
Panvlyuchenko, K., Panfilov, P., , in: MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems.: NY: Association for Computing Machinery (ACM), 2021. P. 167–170.
Many organizations inside FMCG industry tries to improve their business process and make them more effective, by implementing different technologies, one of the is predictive analytics. This technology used in spheres like planning and forecasting product sales. Because market trend is very unstable, company needs to know how much to produce. This work focuses on ...
Added: January 15, 2022
Kharlamov A. A., Pilgun M., , in: XII Международная научно-техническая конференция "Нейроинформатика-2020". Сборник научных трудов". М.: МИФИ, 2020.: М.: [б.и.], 2020.
Predictive analytics of digital conflicts: a neural network approach ...
Added: January 8, 2022
Zair-Bek S. I., Mertsalova T., В кн.: Большие данные в образовании: доказательное развитие образования. Сборник научных статей II Международной конференции, 15 октября 2021 года, Москва.: Издательский дом «Дело» РАНХиГС, 2021. Гл. 4 С. 186–210.
В статье представлены современные подходы к использованию доказательной аналитики при работе с данными для принятия управленческих решений на разных уровнях. Источником стали материалы исследований, проведенных авторами статьи за последние пять лет. Представленные данные и технологии аналитической работы с ними демонстрируют значительную динамику в условиях принятия управленческих решений с использованием результатов аналитических процедур. При этом обращается ...
Added: November 22, 2021
Timofeyev Y., Skidmore M., , in: The Handbook of Security, 3rd ed.: Palgrave Macmillan, 2022. Ch. 12 P. 239–260.
Added: April 24, 2021
Deryabin S., Temkin I., Zykov S. V., , in: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020Vol. 176.: Elsevier, 2020. P. 3210–3216.
The present work is devoted to the problems of Digital Twin development of industrial enterprises in the field of mining. The main goal of this article is to formulate the principles of designing platform solutions for the integration of the most important functional elements that ensure the implementation of technological processes of a full production ...
Added: November 21, 2020
Kofanov Y. N., Sotnikova S., , in: 2020 Moscow Workshop on Electronic and Networking Technologies (MWENT).: IEEE, 2020. P. 1–5.
The authors propose to provide for the use of digital counterparts of physical processes in the electronic equipment of cyber-physical systems in their design for a long duration of active existence, for example, spacecraft in orbit or in a long flight. At the same time, it is proposed to create a database of big data ...
Added: May 9, 2020
Zhukova L., Polyakov K., , in: Actual Problems of Systems and Software Engineering APSSE 2019 (Invited Papers).: Los Alamitos, Washington, Tokyo: IEEE Computer Society, 2019. P. 162–169.
Present research is devoted to the comparative analysis of the quality of classification for some methods of descriptive and predictive analytics in the case when most (or all) of independent variables are measured in quality scale with large amount of levels. In this case, some classification methods or their popular realizations calls for conversion of ...
Added: January 18, 2020
Kychkin A., Deryabin A. I., Vikentyeva O. et al., Вестник Московского государственного строительного университета 2019 Т. 14 № 6 С. 734–747
Introduction. The gained experience in the field of building automation and IoT technologies yields a new approach to the management of engineering subsystems that provides stated parameters of operation quality throughout the entire building lifecycle. This paper explores compensatory and predictive algorithms in the scope of the aforementioned approach to manifest control over building climate ...
Added: September 12, 2019
Dmitry Prokhorenkov, Petr Panfilov, , in: 2018 IEEE 20th Conference on Business Informatics (CBI)Vol. 2: Research-in-Progress Papers and Workshop Papers .: IEEE Computer Society, 2018. P. 148–152.
Companies are increasingly paying close attention to the IP portfolio, which is a key competitive advantage, so patents and patent applications, as well as analysis and identification of future trends, become one of the important and strategic components of a business strategy. We argue that the problems of identifying and predicting trends or entities, as ...
Added: September 11, 2018
Bruskin S., Вестник Российского экономического университета им. Г.В. Плеханова 2017 № 5 (95) С. 135–139
В статье рассматриваются перспективные подходы к построению цифровой корпорации с использованием методов и технологий предиктивной аналитики, а также излагаются принципы трансформации существующих в компаниях информационных систем в цифровые системы корпоративного управления. Проведен анализ основных технологических трендов глобальной цифровизации, а также связанных с ними международных исследований. Предложена новая информационная модель цифровой корпорации, которая, в отличие от ...
Added: July 20, 2018
Pokryshevskaya E. B., Antipov E. A., International Journal of Hospitality Management 2017 Vol. 67 P. 1–10
We develop a set of models for predicting hotel visitor satisfaction and the probability of complaints about various service aspects. Our empirical analysis is based on 3630 reviews from one of the Dubai hotels. We identify profiles of visitors who are likely to be dissatisfied with the hotel service and need special attention, as well ...
Added: September 29, 2017
Makarov I., Bulanov O., Olga Gerasimova et al., , in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected PapersVol. 10716.: Cham: Springer, 2018. P. 404–410.
Modern co-authorship networks contain hidden patterns of researchers interaction and publishing activities. We aim to provide a system for selecting a collaborator for joint research or an expert on a given list of topics. We have improved a recommender system for finding possible collaborator with respect to research interests and predicting quality and quantity of ...
Added: June 25, 2017
Andreeva A. V., Аудит и финансовый анализ 2011 Т. 6 С. 104–108
This article concerns the problem of predicting the size of company's customer base in case of solving the task of managing its clients. The author purposes a new approach to segment-oriented predicting the size of clients based on adopting the Staroverov's employees moving model. Besides the article includes the limitations of using this model and ...
Added: September 19, 2012