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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">infojournal</journal-id><journal-title-group><journal-title xml:lang="ru">Информатика и образование</journal-title><trans-title-group xml:lang="en"><trans-title>Informatics and education</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0234-0453</issn><issn pub-type="epub">2658-7769</issn><publisher><publisher-name>Publishing House Education and Informatics</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32517/0234-0453-2021-36-5-35-45</article-id><article-id custom-type="elpub" pub-id-type="custom">infojournal-690</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ИНФОРМАТИЗАЦИЯ ОБРАЗОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATIZATION OF EDUCATION</subject></subj-group></article-categories><title-group><article-title>Разработка модуля расчета индивидуального графика освоения материалов учебной дисциплины</article-title><trans-title-group xml:lang="en"><trans-title>Development of a module for calculating an individual schedule for mastering the materials of an academic discipline</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8155-5902</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Аникьева</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Anikieva</surname><given-names>M. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Аникьева Марина Анатольевна, старший преподаватель кафедры систем искусственного интеллекта, Институт космических и информационных технологий, 660041, Россия, г. Красноярск, Свободный пр-т, д. 79</p></bio><bio xml:lang="en"><p>Marina A. Anikieva, Senior Lecturer at the Department of Artificial Intelligence Systems, Institute of Space and Information Technologies, 660041, Russia, Krasnoyarsk, Svobodny prospect, 79</p></bio><email xlink:type="simple">MAnikieva@sfu-kras.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Сибирский федеральный университет<country>Россия</country></aff><aff xml:lang="en">Siberian Federal University<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>16</day><month>07</month><year>2021</year></pub-date><volume>0</volume><issue>5</issue><fpage>35</fpage><lpage>45</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Аникьева М.А., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Аникьева М.А.</copyright-holder><copyright-holder xml:lang="en">Anikieva M.A.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://info.infojournal.ru/jour/article/view/690">https://info.infojournal.ru/jour/article/view/690</self-uri><abstract><p>В статье представлена практическая реализация модуля расчета индивидуального графика освоения обучающимся материалов учебной дисциплины. Целью исследования было рассчитать трудоемкость усвоения обучающимся понятий изучаемой предметной области, соотнести расчетные данные с фактическими и установить применимость предлагаемой методики расчета индивидуального графика освоения учебных материалов для планирования учебного процесса. Генерация суммы понятий для освоения производилась на основе дерева понятий предметной области. Трудоемкость освоения учебной дисциплины рассматривается как сумма трудоемкостей каждого понятия. Расчет трудоемкости понятия производился с учетом времени восприятия информации обучающимся, сложности понятия и с учетом вида деятельности. В результате была выполнена программная реализация алгоритма формирования индивидуального графика освоения материалов учебной дисциплины, рассчитана трудоемкость освоения каждого понятия и получена суммарная трудоемкость освоения учебной дисциплины. При сравнении расчетной трудоемкости с фактической установлено, что разница составляет не более 10 %. Сгенерированная последовательность понятий для изучения достаточна для достижения целей обучения студентов по направлению «Информационные системы и технологии». Представленные результаты имеют непосредственное практическое значение и могут применяться для планирования учебного курса и для построения динамически изменяющегося индивидуального графика освоения материалов учебной дисциплины с учетом когнитивных и физических особенностей обучающихся, а также с учетом особенностей организации процесса обучения. </p></abstract><trans-abstract xml:lang="en"><p>The article presents the practical implementation of the module for calculating the individual schedule for mastering the materials of an academic discipline by students. The aim of the study was to calculate the complexity of the learner’s assimilation of the concepts of the studied subject area, correlate the calculated data with the actual ones and establish the applicability of the proposed methodology for calculating an individual schedule for mastering educational materials for planning the educational process. The generation of the sum of concepts for mastering was carried out on the basis of the concept tree of the subject area. The labor intensity of mastering an academic discipline is considered as the sum of the complexity of each concept. The calculation of the labour intensity of the concept was carried out taking into account the time of perception of information by students, the complexity of the concept and taking into account the type of activity. As a result, a program implementation of the algorithm for forming an individual schedule for mastering the materials of an academic discipline was made, the labor intensity of mastering each concept was calculated and the total labor intensity of mastering an academic discipline was obtained. When comparing the estimated labor intensity with the actual one, it was established that the difference is not more than 10 %. The generated sequence of concepts for study is sufficient to achieve the goals of training students in the direction of “Information systems and technologies”. The presented results are of direct practical importance and can be used to plan a training course and to build a dynamically changing individual schedule for mastering the materials of an academic discipline, taking into account the cognitive and physical characteristics of students, as well as taking into account the peculiarities of the organization of the learning process. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>индивидуальный график</kwd><kwd>персонализированное обучение</kwd><kwd>трудоемкость обучения</kwd></kwd-group><kwd-group xml:lang="en"><kwd>individual schedule</kwd><kwd>personalized training</kwd><kwd>labor intensity of training</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Grigoriev S. G., Mishota I. Yu. Digital University: An actual paradigm of the education informatization // Modern management trends and the digital economy: from regional development to global economic growth. Proc. 1st Int. Scientific Conf. Ekaterinburg: Atlantis Press, 2019. P. 634–637. DOI: 10.2991/mtde-19.2019.128</mixed-citation><mixed-citation xml:lang="en">Grigoriev S. G., Mishota I. Yu. Digital University: An actual paradigm of the education informatization. Modern management trends and the digital economy: From regional development to global economic growth. Proc. 1st Int. Scientific Conf. Ekaterinburg, Atlantis Press, 2019, p. 634–637. DOI: 10.2991/mtde-19.2019.128</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Deschênes M. Recommender systems to support learners’ Agency in a Learning Context: a systematic review // International Journal of Educational Technology in Higher Education. 2020. Vol. 17. No. 50. DOI: 10.1186/s41239-020-00219-w</mixed-citation><mixed-citation xml:lang="en">Deschênes M. Recommender systems to support learners’ Agency in a Learning Context: a systematic review. International Journal of Educational Technology in Higher Education, 2020, vol. 17, no. 50. DOI: 10.1186/s41239-020-00219-w</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Chen C.-M. Ontology-based concept map for planning a personalised learning path // British Journal of Educational Technology. 2009. Vol. 40. Is. 6. P. 1028–1058. DOI: 10.1111/j.1467-8535.2008.00892.x</mixed-citation><mixed-citation xml:lang="en">Chen C.-M. Ontology-based concept map for planning a personalised learning path. British Journal of Educational Technology, 2009, vol. 40, is. 6, p. 1028–1058. DOI: 10.1111/j.1467-8535.2008.00892.x</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Khamparia A., Pandey B. SVM and PCA based learning feature classification approaches for E-learning system // International Journal of Web-Based Learning and Teaching Technologies. 2018. Vol. 13. Is. 2. Article 3. P. 32–45. DOI: 10.4018/IJWLTT.2018040103</mixed-citation><mixed-citation xml:lang="en">Khamparia A., Pandey B. SVM and PCA based learning feature classification approaches for E-learning system. International Journal of Web-Based Learning and Teaching Technologies, 2018, vol. 13, is. 2, article 3, p. 32–45. DOI: 10.4018/IJWLTT.2018040103</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Klašnja-Milićević A., Ivanović M., Nanopoulos A. Recommender systems in e-learning environments: A survey of the state-of-the-art and possible extensions // Artificial Intelligence Review. 2015. Vol. 44. Is. 4. P. 571–604. DOI: 10.1007/s10462-015-9440-z</mixed-citation><mixed-citation xml:lang="en">Klašnja-Milićević A., Ivanović M., Nanopoulos A. Recommender systems in e-learning environments: A survey of the state-of-the-art and possible extensions. Artificial Intelligence Review, 2015, vol. 44, is. 4, p. 571–604. DOI: 10.1007/s10462-015-9440-z</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Khenissi M. A., Essalmi F., Jemni M., Kinshuk, Chang T.-W., Chen N.-S. Unobtrusive monitoring of learners’ interactions with educational games for measuring their working memory capacity // British Journal of Educational Technology. 2017. Vol. 48. Is. 2. P. 224–245. DOI: 10.1111/bjet.12445</mixed-citation><mixed-citation xml:lang="en">Khenissi M. A., Essalmi F., Jemni M., Kinshuk, Chang T.-W., Chen N.-S. Unobtrusive monitoring of learners’ interactions with educational games for measuring their working memory capacity. British Journal of Educational Technology, 2017, vol. 48, is. 2, p. 224–245. DOI: 10.1111/bjet.12445</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Essalmi F., Ayed L. J. B., Jemni M., Kinshuk, Graf S. A fully personalization strategy of E-learning scenarios // Computers in Human Behavior. 2010. Vol. 26. Is. 4. P. 581–591. DOI: 10.1016/j.chb.2009.12.010</mixed-citation><mixed-citation xml:lang="en">Essalmi F., Ayed L. J. B., Jemni M., Kinshuk, Graf S. A fully personalization strategy of E-learning scenarios. Computers in Human Behavior, 2010, vol. 26, is. 4, p. 581–591. DOI: 10.1016/j.chb.2009.12.010</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Tsortanidou X., Karagiannidis C., Koumpis A. Adaptive educational hypermedia systems based on learning styles: the case of adaptation rules // International Journal of Emerging Technologies in Learning. 2017. Vol. 12. No. 5. P. 150–168. DOI: 10.3991/ijet.v12i05.6967</mixed-citation><mixed-citation xml:lang="en">Tsortanidou X., Karagiannidis C., Koumpis A. Adaptive educational hypermedia systems based on learning styles: the case of adaptation rules. International Journal of Emerging Technologies in Learning, 2017, vol. 12, no. 5, p. 150–168. DOI: 10.3991/ijet.v12i05.6967</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Аникьева М. А. Методика расчета времени для освоения учебного материала // International Journal of Advanced Studies. 2018. Т. 8. № 2. С. 74–90. DOI: 10.12731/2227-930X-2018-2-74-90</mixed-citation><mixed-citation xml:lang="en">Anikieva M. A. Metodika rascheta vremeni dlya osvoeniya uchebnogo materiala [Methods of time calculation for learning the educational material]. International Journal of Advanced Studies, 2018, vol. 8, no. 2, p. 74–90. (In Russian.) DOI: 10.12731/2227-930X-2018-2-74-90</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Атанов Г. А., Пустынникова И. Н. Обучение и искусственный интеллект, или Основы современной дидактики высшей школы. Донецк: ДОУ, 2002. 504 c.</mixed-citation><mixed-citation xml:lang="en">Atanov G. A., Pustynnikova I. N. Obuchenie i iskusstvennyj intellekt, ili Osnovy sovremennoj didaktiki vysshej shkoly [Training and artificial intelligence, or the basics of modern higher school didactics]. Donetsk: DOW, 2002. 504 p. (In Russian.)</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Шадриков В. Д. Психология деятельности человека. М.: Институт психологии РАН, 2013. 464 c. https://elibrary.ru/item.asp?id=23734352</mixed-citation><mixed-citation xml:lang="en">Shadrikov V. D. Psikhologiya deyatel’nosti cheloveka [Psychology of human being activity]. Moscow, Institut psikhologii RАN, 2013. 464 p. (In Russian.)</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Wikhamn B. R. Challenges of adopting constructive alignment in action learning education // Action Learning: Research and Practice. 2017. Vol. 14. Is. 1. P. 18–28. DOI: 10.1080/14767333.2016.1251880</mixed-citation><mixed-citation xml:lang="en">Wikhamn B. R. Challenges of adopting constructive alignment in action learning education. Action Learning: Research and Practice, 2017, vol. 14, is. 1, p. 18–28. DOI: 10.1080/14767333.2016.1251880</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Аникьева М. А. Структурирование понятий предметной области по дисциплине «Допечатные процессы» // Информатизация образования и методика электронного обучения. Материалы I международной научной конференции в рамках IV международного научно-образовательного форума «Человек, семья и общество: история и перспективы развития». Красноярск: СФУ, 2016. С. 162–166.</mixed-citation><mixed-citation xml:lang="en">Anikieva M. A. Strukturirovanie ponyatij predmetnoj oblasti po distsipline “Dopechatnye protsessy” [Structuring the concepts of the subject area in the discipline “Prepress processes”]. Informatizatsiya obrazovaniya i metodika ehlektronnogo obucheniya. Materialy I mezhdunarodnoj nauchnoj konferentsii v ramkakh IV mezhdunarodnogo nauchno-obrazovatel’nogo foruma “Chelovek, sem’ya i obshhestvo: istoriya i perspektivy razvitiya” [Informatization of education and e-learning methodology. Proc. I int. scientific conf. in the framework of the IV int. scientific and educational forum “Man, family and society: history and development prospects”]. Krasnoyarsk, SFU, 2016, p. 162–166. (In Russian.)</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Новиков А. И. Семантика текста и ее формализация. М.: Наука, 1983. 216 c.</mixed-citation><mixed-citation xml:lang="en">Novikov A. I. Semantika teksta i ee formalizatsiya [Semantics of the text and its formalization]. Moscow, Nauka, 1983. 216 p. (In Russian.)</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Красных В. В. Основы психолингвистики и теории коммуникации. М.: Гнозис, 2001. 270 c.</mixed-citation><mixed-citation xml:lang="en">Krasnykh V. V. Osnovy psikholingvistiki i teorii kommunikatsii [Fundamentals of psycholinguistics and communication theory]. Moscow, Gnosis, 2001. 270 p. (In Russian.)</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Мизинцев В. П., Моисеев В. В. «Зачетная единица» и проблема ГОС // Вестник ФГОУ ВПО МГАУ. 2009. № 6. С. 28–33. https://elibrary.ru/item.asp?id=13039686</mixed-citation><mixed-citation xml:lang="en">Mizintsev V. P., Moiseev V. V. “Zachetnaya edinitsa” i problema GOS [“Test unit” and a problem of the state educational standard]. Vestnik FGOU VPO MGАU — Bulletin of FGOU VPO MGAU, 2009, no. 6, p. 28-33. (In Russian.)</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Карпенко М. П. Проблема измерения знаний и образовательные технологии // Труды СГУ. 1999. Т. 10. С. 14–19. https://www.elibrary.ru/item.asp?id=41859415</mixed-citation><mixed-citation xml:lang="en">Karpenko M. P. Problema izmereniya znanij i obrazovatel’nye tekhnologii [The problem of measuring knowledge and educational technologies]. Trudy SGU — SSU Proceedings, 1999, vol. 10. p. 14–19. (In Russian.)</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Тазетдинов А. Д. Технология структурирования и визуализации учебной информации в репетиторских системах // Информационно-управляющие системы. 2009. № 1. С. 60–65. http://www.i-us.ru/index.php/ius/article/view/14817</mixed-citation><mixed-citation xml:lang="en">Tazetdinov A. D. Tekhnologiya strukturirovaniya i vizualizatsii uchebnoj informatsii v repetitorskikh sistemakh [Technology of structuring and visualization of educational information in tutoring systems]. Informatsionno-upravlyayushhie sistemy — Information and Control Systems, 2009, no. 1, p. 60–65. (In Russian.) Available at: http://www.i-us.ru/index.php/ius/article/view/14817</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Paramythis A., Loidl-Reisinger S. Adaptive learning environments and e-Learning standards // Electronic Journal of e-Learning. 2004. Vol. 2. No. 1. P. 181–194. https://eric.ed.gov/?id=EJ1099144</mixed-citation><mixed-citation xml:lang="en">Paramythis A., Loidl-Reisinger S. Adaptive learning environments and e-Learning standards. Electronic Journal of e-Learning, 2004, vol. 2, no. 1, p. 181–194. https://eric.ed.gov/?id=EJ1099144</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Виленский М. Я., Образцов П. И., Уман А. И. Технологии профессионально-ориентированного обучения в высшей школе. М.: Педагогическое общество России, 2005. 192 c. https://www.elibrary.ru/item.asp?id=23114028</mixed-citation><mixed-citation xml:lang="en">Vilensky M. Ya., Obraztsov P. I., Uman A. I. Tekhnologii professional’no-orientirovannogo obucheniya v vysshej shkole [Technology for vocational education in higher education]. Moscow, Pedagogical Society of Russia, 2005. 192 p. (In Russian.)</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Норман Д. А. Память и научение. М.: Мир, 1985. 160 c.</mixed-citation><mixed-citation xml:lang="en">Norman D. A. Pamyat’ i nauchenie [Memory and learning]. Moscow, Mir, 1985. 160 p. (In Russian.)</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
