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Predicting course achievement of university students based on their procrastination behaviour on Moodle.

, , , , , и . Soft Comput., 24 (24): 18777-18793 (2020)

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BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text., , , , , , и . WAT@ACL/IJCNLP, стр. 106-116. Association for Computational Linguistics, (2021)A Computational Korean Lexical Access Model Using Artificial Neural Network., , , и . ICIC (3), том 4115 из Lecture Notes in Computer Science, стр. 693-701. Springer, (2006)A semantic-based video scene segmentation using a deep neural network., , , и . J. Inf. Sci., (2019)Neural spelling correction: translating incorrect sentences to correct sentences for multimedia., , , , и . Multim. Tools Appl., 80 (26): 34591-34608 (2021)Uncovering the Risks and Drawbacks Associated With the Use of Synthetic Data for Grammatical Error Correction., , , , , , и . IEEE Access, (2023)GRASP: Guiding model with RelAtional Semantics using Prompt., , , и . CoRR, (2022)Predicting course achievement of university students based on their procrastination behaviour on Moodle., , , , , и . Soft Comput., 24 (24): 18777-18793 (2020)A data-driven procedural-content-generation approach for educational games., , , и . J. Comput. Assist. Learn., 34 (6): 731-739 (2018)PU-GEN: Enhancing generative commonsense reasoning for language models with human-centered knowledge., , , , , , , и . Knowl. Based Syst., (2022)An adaptive educational computer game: Effects on students' knowledge and learning attitude in computational thinking., , , , , и . Comput. Hum. Behav., (2021)