84 results on '"Semenikhina, Olena"'
Search Results
2. Using Bloom’s Taxonomy to Assess Information Hygiene Skills
- Author
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Rudenko, Yuliia, primary, Proshkin, Volodymyr, additional, Naboka, Olha, additional, Yurchenko, Artem, additional, and Semenikhina, Olena, additional
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- 2023
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- View/download PDF
3. Gender Differences in Mathematics Anxiety across Cultures: A Univariate Analysis of Variance among Samples from Twelve Countries
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Sarfo, Jacob Owusu, García-Santillán, Arturo, Adusei, Henry, Molchanova, Violetta S., Drushlyak, Marina, Semenikhina, Olena, Donyeh, Philip Soyiri, Zand, Somayeh, Najafi, Reza, Enea, Violeta, Malik, Sadia, Ashraf, Farzana, Malik, Najma Iqbal, Ansah, Edward Wilson, Wongcharee, Hattaphan, Egara, Felix O., Tipandjan, Arun, Cudjoe, Josephine, Azam, Uzma, Hassan, Mohammed Salah, Helmy, Mai, and Vally, Zahir
- Abstract
Mathematics anxiety (MA) has a debilitating impact on learning, achievement, mental health, and the future career life of students. Though MA is a popular research theme, there is little agreement among researchers regarding the cross-cultural effect of gender. The purpose of this paper was to explore the perceived MA differences among males and females across cultures using the Anxiety Towards Math Scale (ATMS; Muñoz and Mato, 2007). Data were collected between October 2019 and September 2020) from students (N = 4,340) in 12 countries. Using univariate analysis of variance, the results indicate that gender has a significant main effect on MA with females recording higher mean scores than males, [71.816 > 68.118]. Examining the interaction effect of gender and location, significant differences in MA scores exist between males and females across all locations except for Egypt, Malaysia, and Nigeria (Enugu State). Conversely, females reported significantly higher MA scores than males in the rest of the locations, except Iran (Tehran and Qom) and Pakistan (Faisalabad). Gender-based ranking of the top-three locations with high MA scores indicates that females, starting from Malaysia, Thailand (Bangkok), and Nigeria (Enugu State) ranked the highest. Similarly, males beginning from Malaysia, Nigeria (Enugu State), and Thailand (Bangkok) ranked the top-three in MA. The implications are that mathematics teachers need to adopt different culturally-appropriate and gender-focused interventions to support students with MA challenges. Though interpreting the results from this survey need to de done with caution due to the smaller community and national online samples, the role of cross-cultural gender differences in MA cannot be overlooked.
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- 2020
4. Special Course on Information Hygiene as a Tool for Developing Youth’s Ability to Resist Informational Influences
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Rudenko, Yuliia, primary, Drushlyak, Marina, additional, Naboka, Olha, additional, Proshkin, Volodymyr, additional, and Semenikhina, Olena, additional
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- 2022
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5. ChatGPT-Based Simulation Helps to Develop the Pre-Service Mathematics Teachers' Critical Thinking.
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Drushlyak, Marina, Lukashova, Tetiana, Shamonia, Volodymyr, and Semenikhina, Olena
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MATHEMATICS teachers ,ARTIFICIAL intelligence ,CHATGPT ,MATHEMATICS education ,EDUCATIONAL sociology - Abstract
The development of IT affects society in general and the education sector in particular. The emergence of AI (in particular ChatGPT), which is constantly being improved, already causes specific problems in the organization and administration of the educational process. Still, the peculiarities of its functioning make it possible to perceive ChatGPT as learning means in the pre-service mathematics teachers' training. The article presents the results of a study that answers the following questions: (1) "Can ChatGPT be a digital platform that generates pupils' answers (secondary school)? - Yes"; (2) "Are students (preservice mathematics teachers) prepared to check answers that ChatGPT generates? - Yes"; (3) "Does checking answers that ChatGPT generates affect the development of students' critical thinking? - Yes". The study involved a pedagogical experiment in which authors described how ChatGPT generates solutions to math problems and what mistakes it makes. We ensured that students sometimes find mathematical mistakes in the answers generated by ChatGPT, but repeated use of ChatGPT shows its positive impact on the development of preservice mathematics teachers' critical thinking. [ABSTRACT FROM AUTHOR]
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- 2025
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6. On the Use of Social Networks in Teachers’ Career Guidance Activities
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Ostroha, Mariia, primary, Drushlyak, Marina, additional, Shyshenko, Inna, additional, Naboka, Olha, additional, Proshkin, Volodymyr, additional, and Semenikhina, Olena, additional
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- 2021
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7. CLOUD TECHNOLOGIES IN EDUCATION: THE BIBLIOGRAPHIC REVIEW
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Yurchenko, Artem, primary, Rozumenko, Anzhela, additional, Rozumenko, Anatolii, additional, Momot, Roman, additional, and Semenikhina, Olena, additional
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- 2023
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8. DIAGNOSTIC APPARATUS OF RESEARCHING THE RESULTS OF PREPARING TEACHERS TO USE VIRTUAL VISIBILITY TOOLS IN PROFESSIONAL ACTIVITIES
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Mulesa, Pavlo, primary, Semenikhina, Olena, additional, and Yurchenko, Artem, additional
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- 2023
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9. RESULTS OF TRAINING FUTURE MANAGERS FOR THE USE OF ELECTRONIC DOCUMENT MANAGEMENT IN THE DIMENSIONS OF KNOWLEDGE AND SKILLS
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Udovychenko, Olha, primary, Udovychenko, Ihor, additional, and Semenikhina, Olena, additional
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- 2023
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10. Tools For The Development of Emotional Intelligence: Cognitive Native Language Teaching.
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Hrona, Nataliia, Khomych, Tetiana, Semenog, Olena, Kharchenko, Inna, Yurchenko, Artem, and Semenikhina, Olena
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EMOTIONAL intelligence ,NATIVE language ,STATISTICAL significance ,COGNITIVE learning ,COLLEGE students ,EMOTIONS ,EMOTIONAL experience - Abstract
The study is devoted to the establishment of connections between teaching the native language and the emotional intelligence of students. It proved a statistically significant positive effect of the cognitive native (Ukrainian) language teaching on students' emotional awareness, managing one's emotions, self-motivation, empathy, and recognizing other people's emotions. The study describes the method of cognitive native (Ukrainian) language teaching that is based on integrating college students' mental and communicative activities. The participants of the pedagogical experiment were 312 students and 16 teachers from various educational institutions in Ukraine. Hall's method assessed the impact of the cognitive native (Ukrainian) language teaching on students' emotional intelligence. Empirical data were analyzed statistically (significance level 0.05): the Pearson test for confirming the normality of group distributions and the Student's criterion for estimating averages. Statistical analysis showed statistical uniformity of EG and CG at the beginning of the experiment; the significance of changes for the scales "emotional awareness," "self-motivation," and "empathy" in the middle of the study; and the statistical significance of changes for all scales after the experiment. [ABSTRACT FROM AUTHOR]
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- 2024
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11. MODELING THE CHOICE OF AN ONLINE COURSE FOR INFORMATION HYGIENE SKILLS USING THE SAATY METHOD.
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Rudenko, Yuliia, Ahadzhanov-Honsales, Karen, Ahadzhanova, Svitlana, Batalova, Alla, Bieliaieva, Olena, Yurchenko, Artem, and Semenikhina, Olena
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ONLINE education ,INFORMATION skills ,UKRAINIANS ,DIGITAL technology ,CONSUMERS ,HYGIENE ,MULTIPLE criteria decision making - Abstract
Copyright of Informatics Control Measurement in Economy & Environment Protection / Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska is the property of Lublin University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2024
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- View/download PDF
12. Methodology of formation of modeling skills based on a constructive approach (on the example of GeoGebra)
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Drushlyak, Marina G., primary, Semenikhina, Olena V., additional, Proshkin, Volodymyr V., additional, Kharchenko, Serhii Ya., additional, and Lukashova, Tetyana D., additional
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- 2021
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13. Data from an international multi-centre study of statistics and mathematics anxieties and related variables in university students (the SMARVUS Dataset)
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Terry, Jenny, Ross, Robert M., Nagy, Tamás, Salgado, Mauricio, Garrido-Vásquez, Patricia, Sarfo, Jacob O., Cooper, Susan, Buttner, Anke C., Lima, Tiago J. S., Öztürk, İbrahim, Akay, Nazli, Santos, Flavia H., Artemenko, Christina, Copping, Lee T., Elsherif, Mahmoud M., Milovanović, Ilija, Cribbie, Robert A., Drushlyak, Marina G., Swainston, Katherine, Shou, Yiyun, Leongómez, Juan D., Palena, Nicola, Abidin, Fitri A., Reyes-Rodríguez, Maria F., He, Yunfeng, Abraham, Juneman, Vatakis, Argiro, Jankowsky, Kristin, Schmidt, Stephanie N. L., Grimm, Elise, González, Desirée, Schmid, Philipp, Ferreira, Roberto A., Rozgonjuk, Dmitri, Özhan, Neslihan, O'Connor, Patrick A., Zsido, Andras N., Stiglic, Gregor, Rhodes, Darren, Rodríguez, Cristina, Ropovik, Ivan, Enea, Violeta, Nurwanti, Ratri, Estudillo, Alejandro J., Beribisky, Nataly, Himawan, Karel K., Geven, Linda M., van Hoogmoed, Anne H., Bret, Amélie, Chapman, Jodie E., Alter, Udi, Flack, Zoe M., Hanna, Donncha, Soltanlou, Mojtaba, Banik, Gabriel, Adamkovič, Matúš, van der Ven, Sanne H. G., Mosbacher, Jochen A., Şen, Hilal H., Anderson, Joel R., Batashvili, Michael, de Groot, Kristel, Parker, Matthew O., Helmy, Mai, Ostroha, Mariia M., Gilligan-Lee, Katie A., Egara, Felix O., Barwood, Martin J., Thomas, Karuna, McMahon, Grace, Griffin, Siobhán M., Nuerk, Hans-Christoph, Counsell, Alyssa, Lindemann, Oliver, Van Rooy, Dirk, Wege, Theresa E., Lewis, Joanna E., Aczel, Balazs, Monaghan, Conal, Al-Hoorie, Ali H., Huber, Julia F., Yapan, Saadet, Garrido Vásquez, Mauricio E., Callea, Antonino, Ergiyen, Tolga, Clay, James M., Mertens, Gaetan, Topçu, Feyza, Tutlu, Merve G., Täht, Karin, Mikkor, Kristel, Caso, Letizia, Karner, Alexander, Storm, Maxine M. C., Daroczy, Gabriella, Zein, Rizqy A., Greco, Andrea, Buchanan, Erin M., Schmid, Katharina, Hunt, Thomas E., De keersmaecker, Jonas, Branney, Peter E., Randell, Jordan, Clark, Oliver J., Steltenpohl, Crystal N., Malu, Bhasker, Tekeş, Burcu, Ramis, TamilSelvan, Agrigoroaei, Stefan, Badcock, Nicholas A., McAloney-Kocaman, Kareena, Semenikhina, Olena V., Graf, Erich W., Lea, Charlie, Ogba, Kalu T. U., Guppy, Fergus M., Warhurst, Amy C., Lindsay, Shane, Khateeb, Ahmed A., Scharnowski, Frank, de Kwaadsteniet, Leontien, Francis, Kathryn B., Lecompte, Mariah, Webster, Lisa A. D., Morsanyi, Kinga, Forwood, Suzanna E., Walters, Elizabeth R., Tip, Linda K., Wagge, Jordan R., Lai, Ho Y., Crossland, Deborah S., Darda, Kohinoor M., Flack, Tessa R., Leviston, Zoe, Brolly, Matthew, Hills, Samuel P., Collins, Elizabeth, Roberts, Andrew J., Cheung, Wing-Yee, Leonard, Sophie, Verschuere, Bruno, Stanley, Samantha K., Xenidou-Dervou, Iro, Ghasemi, Omid, Liew, Timothy, Ansari, Daniel, Guilaran, Johnrev, Penny, Samuel G., Bahnmueller, Julia, Hand, Christopher J., Rahajeng, Unita W., Peterburg, Dar, Takacs, Zsofia K., Platow, Michael J., Field, Andy P., Terry, Jenny, Ross, Robert M., Nagy, Tamás, Salgado, Mauricio, Garrido-Vásquez, Patricia, Sarfo, Jacob O., Cooper, Susan, Buttner, Anke C., Lima, Tiago J. S., Öztürk, İbrahim, Akay, Nazli, Santos, Flavia H., Artemenko, Christina, Copping, Lee T., Elsherif, Mahmoud M., Milovanović, Ilija, Cribbie, Robert A., Drushlyak, Marina G., Swainston, Katherine, Shou, Yiyun, Leongómez, Juan D., Palena, Nicola, Abidin, Fitri A., Reyes-Rodríguez, Maria F., He, Yunfeng, Abraham, Juneman, Vatakis, Argiro, Jankowsky, Kristin, Schmidt, Stephanie N. L., Grimm, Elise, González, Desirée, Schmid, Philipp, Ferreira, Roberto A., Rozgonjuk, Dmitri, Özhan, Neslihan, O'Connor, Patrick A., Zsido, Andras N., Stiglic, Gregor, Rhodes, Darren, Rodríguez, Cristina, Ropovik, Ivan, Enea, Violeta, Nurwanti, Ratri, Estudillo, Alejandro J., Beribisky, Nataly, Himawan, Karel K., Geven, Linda M., van Hoogmoed, Anne H., Bret, Amélie, Chapman, Jodie E., Alter, Udi, Flack, Zoe M., Hanna, Donncha, Soltanlou, Mojtaba, Banik, Gabriel, Adamkovič, Matúš, van der Ven, Sanne H. G., Mosbacher, Jochen A., Şen, Hilal H., Anderson, Joel R., Batashvili, Michael, de Groot, Kristel, Parker, Matthew O., Helmy, Mai, Ostroha, Mariia M., Gilligan-Lee, Katie A., Egara, Felix O., Barwood, Martin J., Thomas, Karuna, McMahon, Grace, Griffin, Siobhán M., Nuerk, Hans-Christoph, Counsell, Alyssa, Lindemann, Oliver, Van Rooy, Dirk, Wege, Theresa E., Lewis, Joanna E., Aczel, Balazs, Monaghan, Conal, Al-Hoorie, Ali H., Huber, Julia F., Yapan, Saadet, Garrido Vásquez, Mauricio E., Callea, Antonino, Ergiyen, Tolga, Clay, James M., Mertens, Gaetan, Topçu, Feyza, Tutlu, Merve G., Täht, Karin, Mikkor, Kristel, Caso, Letizia, Karner, Alexander, Storm, Maxine M. C., Daroczy, Gabriella, Zein, Rizqy A., Greco, Andrea, Buchanan, Erin M., Schmid, Katharina, Hunt, Thomas E., De keersmaecker, Jonas, Branney, Peter E., Randell, Jordan, Clark, Oliver J., Steltenpohl, Crystal N., Malu, Bhasker, Tekeş, Burcu, Ramis, TamilSelvan, Agrigoroaei, Stefan, Badcock, Nicholas A., McAloney-Kocaman, Kareena, Semenikhina, Olena V., Graf, Erich W., Lea, Charlie, Ogba, Kalu T. U., Guppy, Fergus M., Warhurst, Amy C., Lindsay, Shane, Khateeb, Ahmed A., Scharnowski, Frank, de Kwaadsteniet, Leontien, Francis, Kathryn B., Lecompte, Mariah, Webster, Lisa A. D., Morsanyi, Kinga, Forwood, Suzanna E., Walters, Elizabeth R., Tip, Linda K., Wagge, Jordan R., Lai, Ho Y., Crossland, Deborah S., Darda, Kohinoor M., Flack, Tessa R., Leviston, Zoe, Brolly, Matthew, Hills, Samuel P., Collins, Elizabeth, Roberts, Andrew J., Cheung, Wing-Yee, Leonard, Sophie, Verschuere, Bruno, Stanley, Samantha K., Xenidou-Dervou, Iro, Ghasemi, Omid, Liew, Timothy, Ansari, Daniel, Guilaran, Johnrev, Penny, Samuel G., Bahnmueller, Julia, Hand, Christopher J., Rahajeng, Unita W., Peterburg, Dar, Takacs, Zsofia K., Platow, Michael J., and Field, Andy P.
- Abstract
This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts.
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- 2023
14. Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)
- Author
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Terry, Jenny, primary, Ross, Robert M., additional, Nagy, Tamás, additional, Salgado, Mauricio, additional, Garrido-Vásquez, Patricia, additional, Sarfo, Jacob O., additional, Cooper, Susan, additional, Buttner, Anke C., additional, Lima, Tiago J. S., additional, Öztürk, İbrahim, additional, Akay, Nazlı, additional, Santos, Flavia H., additional, Artemenko, Christina, additional, Copping, Lee T., additional, Elsherif, Mahmoud M., additional, Milovanović, Ilija, additional, Cribbie, Robert A., additional, Drushlyak, Marina G., additional, Swainston, Katherine, additional, Shou, Yiyun, additional, Leongómez, Juan David, additional, Palena, Nicola, additional, Abidin, Fitri A., additional, Reyes-Rodríguez, Maria F., additional, He, Yunfeng, additional, Abraham, Juneman, additional, Vatakis, Argiro, additional, Jankowsky, Kristin, additional, Schmidt, Stephanie N. L., additional, Grimm, Elise, additional, González, Desirée, additional, Schmid, Philipp, additional, Ferreira, Roberto A., additional, Rozgonjuk, Dmitri, additional, Özhan, Neslihan, additional, O’Connor, Patrick A., additional, Zsido, Andras N., additional, Stiglic, Gregor, additional, Rhodes, Darren, additional, Rodríguez, Cristina, additional, Ropovik, Ivan, additional, Enea, Violeta, additional, Nurwanti, Ratri, additional, Estudillo, Alejandro J., additional, Beribisky, Nataly, additional, Himawan, Karel K., additional, Geven, Linda M., additional, Van Hoogmoed, Anne H., additional, Bret, Amélie, additional, Chapman, Jodie E., additional, Alter, Udi, additional, Flack, Zoe M., additional, Hanna, Donncha, additional, Soltanlou, Mojtaba, additional, Banik, Gabriel, additional, Adamkovič, Matúš, additional, Van der Ven, Sanne H. G., additional, Mosbacher, Jochen A., additional, Şen, Hilal H., additional, Anderson, Joel R., additional, Batashvili, Michael, additional, De Groot, Kristel, additional, Parker, Matthew O., additional, Helmy, Mai, additional, Ostroha, Mariia M., additional, Gilligan-Lee, Katie A., additional, Egara, Felix O., additional, Barwood, Martin J., additional, Thomas, Karuna, additional, McMahon, Grace, additional, Griffin, Siobhán M., additional, Nuerk, Hans-Christoph, additional, Counsell, Alyssa, additional, Lindemann, Oliver, additional, Van Rooy, Dirk, additional, Wege, Theresa E., additional, Lewis, Joanna E., additional, Aczel, Balazs, additional, Monaghan, Conal, additional, Al-Hoorie, Ali H., additional, Huber, Julia F., additional, Yapan, Saadet, additional, Garrido Vásquez, Mauricio E., additional, Callea, Antonino, additional, Ergiyen, Tolga, additional, Clay, James M., additional, Mertens, Gaetan, additional, Topçu, Feyza, additional, Tutlu, Merve G., additional, Täht, Karin, additional, Mikkor, Kristel, additional, Caso, Letizia, additional, Karner, Alexander, additional, Storm, Maxine M. C., additional, Daroczy, Gabriella, additional, Zein, Rizqy A., additional, Greco, Andrea, additional, Buchanan, Erin M., additional, Schmid, Katharina, additional, Hunt, Thomas E., additional, De keersmaecker, Jonas, additional, Branney, Peter E., additional, Randell, Jordan, additional, Clark, Oliver J., additional, Steltenpohl, Crystal N., additional, Malu, Bhasker, additional, Tekeş, Burcu, additional, Ramis, TamilSelvan, additional, Agrigoroaei, Stefan, additional, Badcock, Nicholas A., additional, McAloney-Kocaman, Kareena, additional, Semenikhina, Olena V., additional, Graf, Erich W., additional, Lea, Charlie, additional, Ogba, Kalu T. U., additional, Guppy, Fergus M., additional, Warhurst, Amy C., additional, Lindsay, Shane, additional, Al Khateeb, Ahmed, additional, Scharnowski, Frank, additional, De Kwaadsteniet, Leontien, additional, Francis, Kathryn B., additional, Lecompte, Mariah, additional, Webster, Lisa A. D., additional, Morsanyi, Kinga, additional, Forwood, Suzanna E., additional, Walters, Elizabeth R., additional, Tip, Linda K., additional, Wagge, Jordan R., additional, Lai, Ho Yan, additional, Crossland, Deborah S., additional, Darda, Kohinoor M., additional, Flack, Tessa R., additional, Leviston, Zoe, additional, Brolly, Matthew, additional, Hills, Samuel P., additional, Collins, Elizabeth, additional, Roberts, Andrew J., additional, Cheung, Wing-Yee, additional, Leonard, Sophie, additional, Verschuere, Bruno, additional, Stanley, Samantha K., additional, Xenidou-Dervou, Iro, additional, Ghasemi, Omid, additional, Liew, Timothy, additional, Ansari, Daniel, additional, Guilaran, Johnrev, additional, Penny, Samuel G., additional, Bahnmueller, Julia, additional, Hand, Christopher J., additional, Rahajeng, Unita W., additional, Peterburg, Dar, additional, Takacs, Zsofia K., additional, Platow, Michael J., additional, and Field, Andy P., additional
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- 2023
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15. Using the Proteus virtual environment to train future IT professionals
- Author
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Shamonia, Volodymyr H., primary, Semenikhina, Olena V., additional, Proshkin, Volodymyr V., additional, Lebid, Olha V., additional, Kharchenko, Serhii Ya., additional, and Lytvyn, Oksana S., additional
- Published
- 2020
- Full Text
- View/download PDF
16. Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)
- Author
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Terry, Jenny, primary, Ross, Robert M, additional, Nagy, Tamas, additional, Salgado, Mauricio, additional, Garrido-Vásquez, Patricia, additional, Sarfo, Jacob Owusu, additional, Cooper, Susan, additional, Buttner, Anke, additional, Lima, Tiago Jessé Souza, additional, Ozturk, Ibrahim, additional, Akay, Nazlı, additional, Santos, Flávia H., additional, Artemenko, Christina, additional, Copping, Lee, additional, Elsherif, Mahmoud Medhat, additional, Milovanović, Ilija, additional, Cribbie, Rob, additional, Drushlyak, Marina, additional, Swainston, Katherine, additional, Shou, Yiyun, additional, Leongómez, Juan David, additional, Palena, Nicola, additional, Abidin, Fitri Ariyanti, additional, Reyes-Rodriguez, Maria F, additional, He, Yunfeng, additional, Abraham, Juneman, additional, Vatakis, Argiro, additional, Jankowsky, Kristin, additional, Schmidt, Stephanie Nicole Lyn, additional, Grimm, Elise, additional, González, Desirée, additional, Schmid, Philipp, additional, Ferreira, Roberto, additional, Rozgonjuk, Dmitri, additional, Özhan, Neslihan, additional, O'Connor, Patrick Aaron, additional, Zsido, Andras N., additional, Stiglic, Gregor, additional, Rhodes, Darren, additional, Rodríguez, Cristina, additional, Ropovik, Ivan, additional, Enea, Violeta, additional, Nurwanti, Ratri, additional, Estudillo, Alejandro, additional, Beribisky, Nataly, additional, Himawan, Karel Karsten, additional, Geven, Linda, additional, van Hoogmoed, Anne, additional, Bret, Amélie, additional, Chapman, Jodie, additional, Alter, Udi, additional, Flack, Tessa R., additional, hanna, donncha, additional, Soltanlou, Mojtaba, additional, Baník, Gabriel, additional, Adamkovic, Matus, additional, van der Ven, Sanne, additional, Mosbacher, Jochen A., additional, Sen, Hilal H., additional, Anderson, Joel, additional, Batashvili, Michael, additional, de Groot, Kristel, additional, Parker, Matthew O, additional, Helmy, Mai, additional, Ostroha, Mariia M., additional, Gilligan-Lee, Katie Anne, additional, Egara, Felix O., additional, Barwood, Martin J., additional, Thomas, Karuna S, additional, McMahon, Grace, additional, Griffin, Siobhán M, additional, Nuerk, Hans-Christoph, additional, Counsell, Alyssa, additional, Lindemann, Oliver, additional, Van Rooy, Dirk, additional, Wege, Theresa Elise, additional, Lewis, Joanna E., additional, Aczel, Balazs, additional, Monaghan, Conal, additional, Al-Hoorie, Ali H., additional, Huber, Julia, additional, Yapan, Saadet, additional, Garrido, Mauricio, additional, Callea, Antonino, additional, Ergiyen, Tolga, additional, Clay, James M, additional, Mertens, Gaëtan, additional, Topçu, Feyza, additional, Tutlu, Merve G., additional, Täht, Karin, additional, Mikkor, Kristel, additional, Caso, Letizia, additional, Karner, Alexander, additional, Storm, Maxine M. C., additional, Daroczy, Gabriella, additional, Zein, Rizqy Amelia, additional, Greco, Andrea, additional, Buchanan, Erin Michelle, additional, Schmid, Katharina, additional, Hunt, Thomas, additional, De keersmaecker, Jonas, additional, Branney, Peter, additional, Randell, Jordan, additional, Clark, Oliver James, additional, Steltenpohl, Crystal Nicole, additional, Malu, Bhasker, additional, Tekeş, Burcu, additional, Ramis, TamilSelvan, additional, Agrigoroaei, Stefan, additional, Badcock, Nicholas A, additional, McAloney-Kocaman, Kareena, additional, Semenikhina, Olena V., additional, Graf, Erich, additional, Lea, Charlie, additional, Ogba, Kalu Timothy Uyor, additional, Guppy, Fergus Michael, additional, Warhurst, Amy, additional, Lindsay, Shane, additional, Khateeb, Ahmed Al, additional, Scharnowski, Frank, additional, de Kwaadsteniet, Leontien, additional, Francis, Kathryn B., additional, Lab, Cognitive Aging, additional, Webster, Lisa A. D., additional, Morsanyi, Kinga, additional, Forwood, Suzanna, additional, Walters, Elizabeth, additional, Tip, Linda K., additional, Wagge, Jordan Rose, additional, Lai, Ho Yan, additional, Crossland, Deborah, additional, Darda, Kohinoor Monish, additional, Flack, Zoe, additional, Leviston, Zoe, additional, Brolly, Matthew, additional, Hills, Samuel P., additional, Collins, Elizabeth, additional, Roberts, Andrew, additional, Cheung, Yee, additional, Leonard, Sophie, additional, Verschuere, Bruno, additional, Stanley, Samantha, additional, Xenidou-Dervou, Iro, additional, Ghasemi, Omid, additional, Liew, Timothy, additional, Ansari, Daniel, additional, Guilaran, Johnrev, additional, Penny, Samuel G., additional, Bahnmueller, Julia, additional, Hand, Christopher, additional, Rahajeng, Unita Werdi, additional, Peterburg, Dar, additional, Takacs, Zsofia K., additional, Platow, Michael J., additional, and Field, Andy Peter, additional
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- 2022
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17. STEM PROJECT AS A MEANS OF LEARNING MODELING FOR PRE-SERVICE MATHEMATICS AND COMPUTER SCIENCE TEACHERS
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Semenikhina, Olena V., primary, Drushlyak, Marina G., additional, and Shishenko, Inna V., additional
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- 2022
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18. The Use of Digital Technologies in Education: The Case of Physics Learning.
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Yurchenko, Artem, Proshkin, Volodymyr, Naboka, Olha, Shamonia, Volodymyr, and Semenikhina, Olena
- Subjects
ONLINE education ,EDUCATIONAL technology ,STEM education ,ARTIFICIAL intelligence in education ,DIGITIZATION - Abstract
Copyright of International Journal of Research in E-Learning is the property of Wydawnictwo Uniwersytetu Slaskiego and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
19. 9th Workshop on Cloud Technologies in Education: Report
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Kiv, Arnold E., Semerikov, Serhiy O., Shyshkina, Mariya P., Striuk, Andrii M., Striuk, Mykola I., Yechkalo, Yuliia V., Mintii, Iryna S., Nechypurenko, Pavlo P., Kalinichenko, Olga O., Kolgatina, Larisa S., Vlasenko, Kateryna V., Amelina, Svitlana M., Semenikhina, Olena V., Kiv, Arnold E., Semerikov, Serhiy O., Shyshkina, Mariya P., Striuk, Andrii M., Striuk, Mykola I., Yechkalo, Yuliia V., Mintii, Iryna S., Nechypurenko, Pavlo P., Kalinichenko, Olga O., Kolgatina, Larisa S., Vlasenko, Kateryna V., Amelina, Svitlana M., and Semenikhina, Olena V.
- Abstract
This is an introductory text to a collection of selected papers from the 9th Workshop on Cloud Technologies in Education (CTE 2021) which held in Kryvyi Rih, Ukraine, on the December 17, 2021. It consists of short introduction, papers' review and some observations about the event and its future.
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- 2022
20. 9th Workshop on Cloud Technologies in Education: Report
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Kiv, Arnold, Semerikov, Serhiy, Shyshkina, Mariya, Striuk, Andrii, Striuk, Mykola, Yechkalo, Yuliia, Mintii, Iryna, Nechypurenko, Pavlo, Kalinichenko, Olga, Kolgatina, Larisa, Vlasenko, Kateryna, Amelina, Svitlana, Semenikhina, Olena, Kiv, Arnold, Semerikov, Serhiy, Shyshkina, Mariya, Striuk, Andrii, Striuk, Mykola, Yechkalo, Yuliia, Mintii, Iryna, Nechypurenko, Pavlo, Kalinichenko, Olga, Kolgatina, Larisa, Vlasenko, Kateryna, Amelina, Svitlana, and Semenikhina, Olena
- Abstract
This is an introductory text to a collection of selected papers from the 9th Workshop on Cloud Technologies in Education (CTE 2021) which held in Kryvyi Rih, Ukraine, on the December 17, 2021. It consists of short introduction, papers’ review and some observations about the event and its future.
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- 2022
21. 9th Workshop on Cloud Technologies in Education: Report
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Kiv, Arnold E., primary, Semerikov, Serhiy O., additional, Shyshkina, Mariya P., additional, Striuk, Andrii M., additional, Striuk, Mykola I., additional, Yechkalo, Yuliia V., additional, Mintii, Iryna S., additional, Nechypurenko, Pavlo P., additional, Kalinichenko, Olga O., additional, Kolgatina, Larisa S., additional, Vlasenko, Kateryna V., additional, Amelina, Svitlana M., additional, and Semenikhina, Olena V., additional
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- 2022
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22. PEDAGOGICAL CONDITIONS OF FORMATION OF READINESS OF FUTURE SPECIALISTS OF PHYSICAL CULTURE TO USE OF INNOVATIVE TYPES OF MOTOR ACTIVITY IN PROFESSIONAL ACTIVITY
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Atamanyuk, Svitlana, Semenikhina, Olena, and Shyshenko, Inna
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education - Abstract
We have identified the pedagogical conditions for training future specialists of physical culture and sports to use innovative types of motor activity in professional activities in three dimensions: 1) as factors of formal education – the introduction into the educational process of educational and methodological support for the training of future specialists of physical culture and sports to use innovative types of motor activity in professional activities; 2) as factors of non-formal education: initiation of sections on innovative types of physical activity in a higher education institution for students of non-physical education specialties; organization of competitive activities on innovative types of physical activity in higher education; 3) as factors of informal education – the use of digital visualization technologies in the process of forming the readiness of future specialists of physical culture and sports to use innovative types of motor activity in professional activities.Keywords: professional training; future specialists of physical culture and sports; pedagogical conditions; innovative types of motor activity.
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- 2021
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23. POSSIBILITIES OF INFORMATION TECHNOLOGIES IN TRAINING OF SPECIALISTS OF PHYSICAL CULTURE AND SPORT FOR THE USE OF INNOVATIVE TYPES OF MOTOR ACTIVITY
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Atamanyuk, Svitlana, Semenikhina, Olena, and Shyshenko, Inna
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ComputingMilieux_THECOMPUTINGPROFESSION - Abstract
Today, the modernization of professional training of specialists in physical culture and sports in higher education institutions in the direction of mastering by students a set of innovative knowledge, skills and abilities in the field of physical culture and sports is becoming important. This involves the organization of training as an active process of acquiring knowledge. Only with a sufficient level of technological training, information competence, digital literacy, a young specialist in physical culture and sports is able to act adequately in the world, navigate in problematic situations, find rational ways to solve professional problems and be competitive in the labor market. Key words: professional training, future specialists of physical culture and sports, information technologies, lecture-visualization, innovative activity.
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- 2021
24. EFFECTIVE FORMS OF IN-SERVICE TEACHER TRAINING
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Drushlyak, Marina, Yurchenko, Artem, Rozumenko, Anatolii, Rozumenko, Anzhela, and Semenikhina, Olena
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ComputingMilieux_COMPUTERSANDEDUCATION ,вчитель ,підвищення кваліфікації вчителів ,організаційні форми підвищення кваліфікації ,види підвищення кваліфікації ,тренінг ,майстер-клас ,навчання протягом життя ,комп’ютерна анімація ,teacher ,in-service teacher training ,forms of in-service training ,types of in-service training ,training ,master class ,lifelong learning ,computer animation - Abstract
Recently, when choosing types of in-service teacher training, the emphasis has shifted towards increasing the activity of participants in the educational process. Therefore, more effective are those types that are based on active interaction and intensive communication, based on unique life and professional experience and willingness to share it. Among such types of in-service teacher training, the authors distinguish participation in trainings, during which attention is paid to the practical development of skills through their own educational experience, and master classes, during which attention is paid to practical demonstration of creative solutions to a problem, new methodology, technology, author's model. The Department of Computer Science of Makarenko Sumy State Pedagogical University developed short courses of in-service teacher (computer science, physics, mathematics) training of Sumy region, which are focused on the formation / development of skills to create computer animations to support the educational process which was organized as trainings and master classes. The pedagogical experiment consisted in a comparative study of the effectiveness of selected learning forms (training or master class) for heterogeneous groups (groups of teachers with different experience). In addition, the following things were determined: degree of use of IT in professional activities, willingness to use computer animation at lessons, self-assessment of skills to develop computer animations for the learning purpose. According to the results of the experiment, it was found that the master class was more effective for teachers with less than 10 years of experience, and training – for teachers with more than 10 years of experience., Останнім часом при виборі видів підвищення кваліфікації вчителів акцент зміщується у бік підвищення активності учасників освітнього процесу. Тому більш ефективними визнаються ті види, в основі яких лежить активна взаємодія та інтенсивне спілкування, що базується на унікальному життєвому і професійному досвіді та готовності ним поділитися. Серед таких видів підвищення кваліфікації вчителів автори виокремлюють участь у тренінгах, під час яких увага приділяється практичному відпрацюванню умінь через власний набутий освітній досвід, і майстер-класах, під час яких увага приділяється практичній демонстрації творчого вирішення певного завдання, нової методики, технології, авторської моделі. Кафедрою інформатики Сумського державного педагогічного університету імені А.С.Макаренка розроблено короткі курси підвищення кваліфікації вчителів (інформатики, фізики, математики) Сумської області, які орієнтовані на формування\ розвиток умінь створювати комп’ютерні анімації для підтримки освітнього процесу і які було організовано як тренінги та майстер-класи. Педагогічний експеримент полягав у порівняльному дослідженні ефективності обраних організаційних форм (тренінг чи майстер-клас) для гетерогенних груп (групи вчителів з різним досвідом роботи). Поряд із цим визначалися: ступінь використання ІТ у професійній діяльності, бажання використовувати комп’ютерну анімацію на уроках, самооцінка вмінь розробляти комп’ютерні анімації з начальною метою. За результатами експерименту встановлено, що майстер-клас виявився більш ефективним для вчителів з досвідом роботи менше 10років, а тренінг – для вчителів із досвідом роботи більше10років.
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- 2021
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25. Formation Of Skills To Visualize Of Future Physics Teacher: Results Of The Pedagogical Experiment
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Semenikhina, Olena, primary, Yurchenko, Artem, additional, Udovychenko, Olga, additional, Petruk, Vira, additional, Borozenets, Nataliia, additional, and Nekyslykh, Kateryna, additional
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- 2021
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26. CONCEPTUAL AND TERMINOLOGICAL APPARATUS OF PROBLEM RESEARCH OF INNOVATIVE CULTURE DEVELOPMENT OF THE FUTURE MANAGER OF THE GENERAL SECONDARY EDUCATIONAL INSTITUTION IN THE MASTER’S TRAINING PROCESS
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Semenikhina, Olena, primary, Kozlov, Dmytro, additional, and Kozlova, Olena, additional
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- 2021
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27. Methodology of formation of modeling skills based on a constructive approach (on the example of GeoGebra)
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Drushlyak, Marina G., Semenikhina, Olena V., Proshkin, Volodymyr V., Kharchenko, Serhii Ya., Lukashova, Tetyana D., Drushlyak, Marina G., Semenikhina, Olena V., Proshkin, Volodymyr V., Kharchenko, Serhii Ya., and Lukashova, Tetyana D.
- Abstract
Author’s methodology of forming modeling skills involves 4 steps: Step 1 – the teacher step by step constructs the curve by means of cloud based service GeoGebra; Step 2 – the teacher offers a description-definition of the curve and provides a ready-made algorithm by which students model the curve independently in GeoGebra; Step 3 – the teacher offers an algorithm for constructing a curve model, and students need to characterize the properties of the curve or give its definition based on the results, Step 4 – students are offered definitions of curves that they have to model in GeoGebra). An example of realization of the author’s methodology is given, the pedagogical experiment on proof of its effectiveness is described.
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- 2021
28. Analysis of e-resources for the specialist's rhetorical culture development
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Budianskii, Dmytro, Drushlyak, Marina, Semenikhina, Olena, Budianskii, Dmytro, Drushlyak, Marina, and Semenikhina, Olena
- Abstract
The interpretation of the category "rhetorical culture" as an integrative personality characterictic, which includes knowledge of history, theory and methods of public speaking (stages of speech preparation, rhetorical paths and figures, methods of activating audience attention, etc.), intellectual, speech, ethical, aesthetic and artistic-performing qualities, which are expressed in the form of an original product of mental-speech activity, is given in the article. The typology of e-resources in the specialist's rhetorical culture development is characterized. Among them video content (speeches of outstanding speakers of the past and present, movies fragments, theater performances, television programs, speeches of masters of the artistic word, lectures by national and foreign teachers, reports of famous scientists, fragments of lessons and educational activities), audio content (podcasts, audiobooks), rhetoric courses on educational platforms (Udemy, EDUGET, TED), specialized resources on rhetoric, specialized software in the field of rhetoric (Speaker Coach, Ummo, Public Speaking for Beginners, Black Rhetoric, Govorillo), social communities for on-line communication (Facebook, Instagram, Telegram). Descriptive characteristics of each type are briefly provided and relevant examples with Internet links to typical Internet content are given.
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- 2021
29. Online Learning with the Eyes of Teachers and Students in Educational Institutions of Ukraine
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Rudenko, Yuliia, primary, Naboka, Olha, additional, Korolova, Larysa, additional, Kozhukhova, Khana, additional, Kazakevych, Olena, additional, and Semenikhina, Olena, additional
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- 2021
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30. Analysis of e-resources for the specialist's rhetorical culture development
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Budianskii, Dmytro, primary, Drushlyak, Marina, additional, and Semenikhina, Olena, additional
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- 2021
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31. World Practices of STEM Education Implementation: Current Problems and Results.
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Yurchenko, Artem, Yurchenko, Kateryna, Proshkin, Volodymyr, and Semenikhina, Olena
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STEM education ,INTERDISCIPLINARY education ,INCLUSIVE education ,PROJECT method in teaching ,SCIENTOMETRICS - Abstract
Copyright of International Journal of Research in E-Learning is the property of Wydawnictwo Uniwersytetu Slaskiego and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2022
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32. Pre-Service Teachers’ Preparation for Students’ Computer Modeling Skills Formation (on the Example of GeoGebra)
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Semenikhina, Olena, primary, Drushlyak, Marina, additional, Proshkin, Volodymyr, additional, and Mulesa, Pavlo, additional
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- 2021
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33. Mnemonic Techniques and Formation of Teachers’ Ability to Use Them
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Drushlyak, Marina, primary, Semenikhina, Olena, additional, Proshkin, Volodymyr, additional, Puchno, Svitlana, additional, and Yurchenko, Artem, additional
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- 2021
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34. Theoretical and practical aspects of the use of mathematical methods and information technology in education and science
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Abramov, Vadym, primary, Astafieva, Mariia, additional, Boiko, Mariia, additional, Bodnenko, Dmytro, additional, Bushma, Aleksandr, additional, Vember, Viktoriia, additional, Hlushak, Oksana, additional, Zhyltsov, Oleksii, additional, Ilich, Liudmyla, additional, Kobets, Nataliya, additional, Kovaliuk, Tetiana, additional, Kuchakovska, Halyna, additional, Lytvyn, Oksana, additional, Lytvyn, Peter, additional, Mashkina, Irina, additional, Morze, Nataliia, additional, Nosenko, Tetiana, additional, Proshkin, Volodymyr, additional, Radchenko, Serhii, additional, Sablina, Milana, additional, Semenikhina, Olena, additional, Semeniaka, Svitlana, additional, Skorobreshchuk, Halyna, additional, Khoruzha, Liudmyla, additional, and Yaskevych, Vladyslav, additional
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- 2021
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35. Application of Computer Mathematical Tools in University Training of Computer Science and Mathematics Pre-service Teachers
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Semenikhina, Olena, primary, Proshkin, Volodymyr, primary, and Naboka, Olha, primary
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- 2020
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36. The Formation of Skills to Visualize by the Tools of Computer Visualization
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Semenikhina, Olena, primary, Kudrina, Olga, additional, Koriakin, Oleksii, additional, Ponomarenko, Lyudmila, additional, Korinna, Hanna, additional, and Krasilov, Andrii, additional
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- 2020
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37. Conceptual aspects of modern innovation policy
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Omelyanenko, Vitaliy, primary, Kudrina, Olga, additional, Semenikhina, Olena, additional, Zihunov, Vasily, additional, Danilova, Olena, additional, and Liskovetska, Tetiana, additional
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- 2020
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38. Industrial Enterprise Tax Transaction Costs Planning Using Digital Tools
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Kudrina, Olga, primary, Shpileva, Vira, additional, Klius, Yuliia, additional, Lavrova, Olena, additional, Esmanov, Oleksiy, additional, and Semenikhina, Olena, additional
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- 2020
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39. 'E-learning' 12. Innovative Educational Technologies, Tools and Methods for E-learning: Use of Specialized Software for the Development of Visual Thinking of Students and Pupils
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Drushlyak, Marina, Semenikhina, Olena, Proshkin, Volodymyr, and Naboka, Olha
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- 2020
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40. Using the Proteus virtual environment to train future IT professionals
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Shamonia, Volodymyr H., Semenikhina, Olena V., Proshkin, Volodymyr V., Lebid, Olha V., Kharchenko, Serhii Ya., Lytvyn, Oksana S., Shamonia, Volodymyr H., Semenikhina, Olena V., Proshkin, Volodymyr V., Lebid, Olha V., Kharchenko, Serhii Ya., and Lytvyn, Oksana S.
- Abstract
Based on literature review it was established that the use of augmented reality as an innovative technology of student training occurs in following directions: 3D image rendering; recognition and marking of real objects; interaction of a virtual object with a person in real time. The main advantages of using AR and VR in the educational process are highlighted: clarity, ability to simulate processes and phenomena, integration of educational disciplines, building an open education system, increasing motivation for learning, etc. It has been found that in the field of physical process modelling the Proteus Physics Laboratory is a popular example of augmented reality. Using the Proteus environment allows to visualize the functioning of the functional nodes of the computing system at the micro level. This is especially important for programming systems with limited resources, such as microcontrollers in the process of training future IT professionals. Experiment took place at Borys Grinchenko Kyiv University and Sumy State Pedagogical University named after A. S. Makarenko with students majoring in Computer Science (field of knowledge is Secondary Education (Informatics)). It was found that computer modelling has a positive effect on mastering the basics of microelectronics. The ways of further scientific researches for grounding, development and experimental verification of forms, methods and augmented reality, and can be used in the professional training of future IT specialists are outlined in the article., На основі огляду літератури було встановлено, що використання доповненої реальності як інноваційної технології навчання студентів відбувається у таких напрямках: 3D-рендерінг зображень; розпізнавання та маркування реальних об'єктів; взаємодія віртуального об’єкта з людиною в режимі реального часу. Висвітлено основні переваги використання АР та ВР у навчальному процесі: чіткість, вміння моделювати процеси та явища, інтеграція навчальних дисциплін, побудова відкритої системи освіти, підвищення мотивації до навчання тощо. Виявлено, що в цій галузі фізичного моделювання процесів лабораторія фізики протея є популярним прикладом доповненої реальності. Використання середовища Proteus дозволяє візуалізувати функціонування функціональних вузлів обчислювальної системи на мікрорівні. Це особливо важливо для систем програмування з обмеженими ресурсами, наприклад мікроконтролерів у процесі підготовки майбутніх ІТ-фахівців. Експеримент відбувся у Київському університеті імені Бориса Грінченка та Сумському державному педагогічному університеті імені А. С. Макаренка зі студентами спеціальності "Інформатика" (сфера знань - середня освіта (інформатика)). Було встановлено, що комп'ютерне моделювання позитивно впливає на оволодіння основами мікроелектроніки. У статті окреслено шляхи подальших наукових досліджень щодо обґрунтування, розробки та експериментальної перевірки форм, методів та доповненої реальності, які можуть бути використані у професійній підготовці майбутніх ІТ-фахівців.
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- 2020
41. 'E-learning' 11. E-learning and STEM Education: Automation of Mathematical Knowledge Control Within Dynamic Mathematics Programs
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Semenikhina, Olena, Proshkin, Volodymyr, and Drushlyak, Marina
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- 2019
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42. THE DIGITAL TEСHNOLOGY IN IT-EDUCATION: THE VIEW OF UKRAINIAN UNIVERSITY
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Yurchenko, Artem O., primary, Semenikhina, Olena V., additional, Rudenko, Yuliya O., additional, and Shamonia, Volodymyr G., additional
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- 2020
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43. USING FUZZY LOGIC ELEMENTS IN HUMANITIES
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Rudenko, Yuliya O., primary, Degtyareva, Nelya V., additional, Yurchenko, Artem O., additional, and Semenikhina, Olena V., additional
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- 2020
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44. METHODOLOGY OF SOLVING FUZZY MULTICRITERIAL PROBLEMS OF OPTIONS SELECTION
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Degtyareva, Nelya V., primary, Rudenko, Yuliya O., additional, Shamonia, Volodymyr H., additional, and Semenikhina, Olena V., additional
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- 2020
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45. APPLICATION OF COMPUTER MATHEMATICAL TOOLS IN PROFESSIONAL PREPARATION OF FUTURE TEACHERS OF MATHEMATICS
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Semenikhina, Olena and Proshkin, Volodymyr
- Subjects
професійна підготовка ,information technology ,mathematics ,computer mathematical tools ,майбутній учитель ,MathematicsofComputing_GENERAL ,professional training ,математика ,комп’ютерні математичні інструментарії ,future teacher ,інформаційні технології - Abstract
The article deals with the problem of improving the quality of the future teacher of mathematics by means of information technologies. There are two classes of software tools of mathematical direction such as 1) systems of computer mathematics which use traditional notation and methods of writing formulas (Maple, MatLab, Maxima, etc.), these systems are particularly effective in solving various applications, primarily mathematical modeling tasks in science and technology; 2) programs of dynamic mathematics which provide the possibility of dynamic changes of the original mathematical design, the study of the set of its numerical characteristics or their relations in dynamics (GeoGebra, Cabri, Mathkit, and the like). It is established that under the programs of dynamic mathematics it is necessary to understand the means of computer visualization of mathematical knowledge, which provide dynamic operation of various mathematical objects and the possibility of operative obtaining information about their properties. The term "computer mathematical tool" is specified as a virtual mechanism or algorithm of a computer program, or the program itself, which is used to create or study mathematical objects or their components through the numerical and geometric characteristics of the objects themselves. The methodical features of the use of computer mathematical tools have been distinguished: the possibility of dynamic changes in the drawing and observation of the trajectories of individual points opens the way for organizing the experimental and creative activity of all participants in the educational process; the ability to pre-install the tools or to expand the toolkit that simplifies the process of building or limiting tools; the computer frees the teacher from a debilitating check of the construction, and so on. The results of the experiment related to the study of the influence of the programs of dynamic mathematics on the level of academic students’ achievements have been presented. The positive influence of the use of dynamic mathematics programs and the corresponding mathematical tools on the level of mathematical preparation of schoolchildren has been proved. The necessity of preparing the future teacher of mathematics for using this tool in the process of professional activity has been indicated. The requirements of the standard of pedagogical education, the needs of school maths in the main school and the distribution of computer tools within the framework of training a modern mathematics teacher have been specified., У статті розглянуто проблему підвищення якості підготовки майбутнього вчителя математики засобами інформаційних технологій. Виділено два класи програмних засобів математичного спрямування: 1) системи комп’ютерної математики, в яких використовуються традиційні позначення та способи написання формул (Maple, MatLab, Maxima тощо), ці системи особливо ефективні при розв’язуванні різних прикладних проблем, зокрема задач математичного моделювання в науці, освіті, техніці; 2) програми динамічної математики, у яких передбачено можливість динамічних змін вихідної математичної конструкції, вивчення набору її числових характеристик чи їх відношень у динаміці (GeoGebra, Математический конструктор, Живая математика і подібні до них). Установлено, що під програмами динамічної математики варто розуміти засоби комп’ютерної візуалізації математичних знань, які передбачають динамічне оперування різними математичними об’єктами та можливість оперативного одержання відомостей про їх властивості. Уточнено термін «комп’ютерний математичний інструмент» як віртуальний механізм (алгоритм) комп’ютерної програми (сама програма), що використовується для розроблення, вивчення математичних об’єктів та їх складників через числові й геометричні характеристики зазначених об’єктів. Виділено методичні особливості використання комп’ютерних математичних інструментів: наявність динамічних змін рисунка і спостереження за траєкторіями окремих точок надає напрямки для організації експериментальної та творчої діяльності всіх учасників навчального процесу; можливість попереднього встановлення використовуваних інструментів або розширення набору інструментів, що спрощує процес побудови або обмеження інструментарію; комп’ютер звільняє вчителя від виснажливої перевірки побудов тощо. Подано результати експерименту, пов'язаного із вивченням впливу програм динамічної математики на рівень навчальних досягнень учнів. Доведено позитивний вплив використання програм динамічної математики та відповідного математичного інструментарію на рівень математичної підготовки школярів. Указано на необхідності підготовки майбутнього вчителя математики до використання зазначеного інструментарію у процесі професійної діяльності. Конкретизовано вимоги стандарту педагогічної освіти, потреби навчання шкільної математики основної школи та поширення комп’ютерні інструменти у межах підготовки сучасного вчителя математики.
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- 2018
46. Using the Proteus virtual environment to train future IT professionals
- Author
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Shamonia, Volodymyr H., primary, Semenikhina, Olena V., additional, Proshkin, Volodymyr V., additional, Lebid, Olha V., additional, Kharchenko, Serhii Ya., additional, and Lytvyn, Oksana S., additional
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- 2019
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47. ВИКОРИСТАННЯ ХМАРНОГО СЕРВІСУ GEOGEBRA У НАВЧАННІ МАЙБУТНІХ УЧИТЕЛІВ ПРИРОДНИЧО-МАТЕМАТИЧНИХ ДИСЦИПЛІН
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Semenikhina, Olena V., primary, Drushliak, Maryna G., additional, and Khvorostina, Yurii V., additional
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- 2019
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48. Using the Proteus virtual environment to train future IT professionals
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Shamonia, Volodymyr H., Semenikhina, Olena V., Proshkin, Volodymyr V., Lebid, Olha V., Kharchenko, Serhii Ya., Lytvyn, Oksana S., Shamonia, Volodymyr H., Semenikhina, Olena V., Proshkin, Volodymyr V., Lebid, Olha V., Kharchenko, Serhii Ya., and Lytvyn, Oksana S.
- Abstract
Based on literature review it was established that the use of augmented reality as an innovative technology of student training occurs in following directions: 3D image rendering; recognition and marking of real objects; interaction of a virtual object with a person in real time. The main advantages of using AR and VR in the educational process are highlighted: clarity, ability to simulate processes and phenomena, integration of educational disciplines, building an open education system, increasing motivation for learning, etc. It has been found that in the field of physical process modelling the Proteus Physics Laboratory is a popular example of augmented reality. Using the Proteus environment allows to visualize the functioning of the functional nodes of the computing system at the micro level. This is especially important for programming systems with limited resources, such as microcontrollers in the process of training future IT professionals. Experiment took place at Borys Grinchenko Kyiv University and Sumy State Pedagogical University named after A. S. Makarenko with students majoring in Computer Science (field of knowledge is Secondary Education (Informatics)). It was found that computer modelling has a positive effect on mastering the basics of microelectronics. The ways of further scientific researches for grounding, development and experimental verification of forms, methods and augmented reality, and can be used in the professional training of future IT specialists are outlined in the article.
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- 2019
49. Formation of Media Educational Skills of a Future Teacher in the Professional Training.
- Author
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SEMENOG, Olena, SEMENIKHINA, Olena, OLESHKO, Petro, PRIMA, Raisa, VARAVA, Olena, and PYKALIUK, Roman
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TEACHING aids , *TEACHER training , *VOCATIONAL education , *COMPLICATED grief , *CREATIVE ability , *MEDIA literacy , *EXPERIMENTAL groups - Abstract
The article deals with the solution of the problem of media education skills formation of the future teacher in the process of vocational training. The concept of “media education skills of the future teacher†is interpreted as a set of intellectual and practical actions that provide the ability of the individual to perform actions in search consciously, selection, processing, analysis, creation of media texts of different styles and genres, projecting and preparation of the results of media education activities. The groups of media-educational skills of the future teacher-dictionary are distinguished: languagecommunicative, analytical-interpretative, text-genre skills, information-technological, projecting. The model of media and educational skills formation of future language-teachers in the process of vocational training is developed and implemented. The model covers theoretical and methodological, substantive-procedural and diagnosticresultant blocks, and is based on personal, competence, praxeological, cultural, text-centric approaches, involves taking into account didactic principles of interdisciplinary integration and aesthetics value of media texts. The effectiveness of the selected forms, methods and means, the result of which are formed by the ability to perceive, critically read, analyze, interpret, create media texts of different styles and genres through the creative application of professional theoretical knowledge, practical skills and techniques of media analysis, has been empirically confirmed. The sample size comprised the experimental group (EG) – 132 students and the control group (CG) – 124 students. Exclusive author’s tests were developed to confirm the validity of the results, which were processed according to Pearson’s criterion. [ABSTRACT FROM AUTHOR]
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- 2020
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50. ФОРМУВАННЯ У МАЙБУТНІХ УЧИТЕЛІВ УМІНЬ РАЦІОНАЛЬНО ОБИРАТИ ПРОГРАМНИЙ ЗАСІБ: ПРАКСЕОЛОГІЧНИЙ ПІДХІД
- Author
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Semenikhina, Olena V., primary, Semenog, Olena M., additional, and Drushliak, Maryna H., additional
- Published
- 2018
- Full Text
- View/download PDF
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