Technology In Education Journal Articles – The background, the influence of technological integration into the theory in increasing student engagement relates to how this integration technology can be good in theory. In the integration of technology in theory, which will be the real impact on students, and students in the use of technology, then the impact of student activities and creativity.
Research purposes: This research was conducted with the intention of finding how much the integration of the impact technology is in increasing the student battle. In addition, which also tends to explain how important technology is in the teaching process today.
Technology In Education Journal Articles
The method, the method used in this research is quantitative met. This method is a way to collect numeric information that can be proven. Data collected by distributing the students questionnaire. Furthermore, the data is collected from the results of the questionnaire distribution will be available in Excel form, which the SPS will not process.
Analysis Of The Challenges Faced By Mathematics Education Students In Distance Learning During The Covid-19 Pandemic
Results: Results results can be said that the impact of technological integration in theory can really have power to improve the student battle. Because basically, today students are more interested in using technology. However, as a teacher you must monitor your students in class when using this technology. It tends to actually use learning technology.
The conclusion of this research may be concluded that the impact of technological integration into classes is very important in the student battle. When technology, students may deliver in how to learn, increase students’ science in the use of technology, such as students more enthusiastic in learning and make students less likely to study.
Alla, Z. & Jones, DS (2020). Koronavirus (COVID-19), as well as the city network: universal data exchange standards together with artificial intelligence (AI) to be used in city health and management. Health, 8 (1), 46.https: //doi.org/10.3390/healtcare8010046
Bijyh, Z., Joboeh, B. and Karaman, R. (2020). The resistance of grams, negative bacteria to start antibacterial funds and goes to resolve it. Moleculis, XXV (6), 1340.htpsps: //doi.org/10.3390/molucules25061340
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Buddha, M., Maki, A. and Mazurowski, M. A. (2018). Systematic research of the type of imbalance in convoy neural networks. Neural networks, 106, 249-259.htps: //doi.org/10.1016/J.Neunet.2018.07.011
Evening, F. and Redecker, C. (2019). The chief competence of CompEpEWorks in 21. century challenges: in the case of European digital competence for teachers (DigCcomped). European Education, 54 (3), 356-369.htps: //doi.org/10.1111/Ejed.12345
Casaló, LV, Flaviaán, C., & Ibanez, Sanchez, S. (2021). Creative my friend! ISED users in Instagram promoting positive emotions. Business research, 130, 416-425.https: //doi.org/10.1016/J.jBusreSres.2020.02.014
Chan, D.C. (2020). Mitochondrial dynamics and his participation in the disease. Annual overview of pathology: disease mechanisms, 15 (1), 235-259.htps: //doi.org/10.1146/annureVi-pathmechdis–12419-032711
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Chinazzi, M., Davis, J.T, Ajelli, M., Gioannini, C., Lithuania, M., A., K., Hercules, C., M., K., I., Vesplnani, A. (2020). Result Restrictions on traveling in the expansion of the novel 2019. Coronavirus (Covenant 19) Tumult. Nauka, 368 (6489), 395-400.htps //doi.org/10.1126/Science.aba9757
Demery, A.-J.C., Burns, K.J., & Cicero, N.A. (2021). Account Size: The account form and body size limit the evolution of the bird song in a macrosevalum scale. Ornithology, 138 (2), UKA011.htps: //doi.org/10.1093/Ornitithology/UKAB011
Duval, D., Palmer, J.C., Pendgy, I., Pearce-Smith, N., O’Connell, E., Bennett, A. & Clark, R. (2022). Long distance exchange office Gearbox SARS-COV-2: Rapid systematic examination. BMJ, e068743.htps: //doi.org/10.1136/BMJ-2021-068743
Galperin, my wolf, Yi, Makarova, KS, Vera Alvarez, R., Landsman, D. and Koonin, EV (2021). Database database update: Focus on the variety of microbial diversity, modeling organisms and widely pathogens. Nucleic Acidis Research, 49 (D27), D274-D281.HTTPS: //doi.org/10.1093/NAR/GKAA1018
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Gao, Yi, J., Zhu, J., Minkes, AM, Monian, P., Thompson, C. I Jiang, X. (2019). Parts of mitochondria in pheroptosis. Molecular cell, 73 (2), 354-363.Ehttps: //doi.org/10.1016/J.Molcel.2018.10.042
Garcia, Alonso, L., Holland, C.H., Ibrahim, MM, Turei, D. and Saz-Rodriguez, J. (2019). Resources for testing and integration to assess the activity of human transcription factors. Genme Research, XXIX (8), 1363-1375.htps: //doi.org/10.1101/gr.240663.118
Capilla, J. and Alamer, A. (2012). Modeling of particles of small squares of modeling structural equation (PLS-salad) in another language and research of education: guidelines that apply for example. Research methods in Lingvistics, 1 (3), 100027.https: //doi.org/10.1016/J.MARL.2022.1027
Han, 10, Xue, J., Peng, S., Zhang, H. (2019). An interesting phenomenon in oxidation C. C. COECES in Zry-4 subjects in deep steam temperature. Korozio nauka, 156, 117-124.htpsss: //doi.org/10.1016/J.Corsci.2019.05.017
Vol. 1 No. 4 (2023)
Kellogg, K.C., Valentine, MA, & Christin, A. (2020). Algorithms at work, new controlled fields. Academy of Anal Management, XIV (1), 366-410.htps: //doi.org/10.5465/annals.2018.0174
Kraft, A., Blazar, D., & Hogan, D. (2018). Influence of undergraduate teachers below and achievement: Meta-analysis of causal evidence. Overview of Educational Research, 88 (4), 547-588.htps: //doi.org/10.3102/0034654318759268
Krantz, P., Kjaergeard, M., Yan, F., Orlando, T.P., Gustavsson, S. A. А. W.Д. (2019). As an engineering guide for the superconductivity of care. Sign in for physical reviews, 6 (2), (21) 318. Https://doi.org/10.1063/1.5089550
51, H., OTA, K., & Dong, M. (2018). IET doctrine in the edge: Highly learning to the Internet with this mother with the mouth of the calculation. IEEE network, 32 (1), 96-1101.htps: //doi.org/10.1109/Mnet.2018.1700202
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51, St. Chen, H., Wang, M., Heidari, A. A. & Mirjalili, S. (2020). Slime form of algorithm: a new method for stochastic optimization. Future generation computer systems, 111, 300-323. https://doi.org/10.1016/J.Future.2020.03.055
Pan, L., Wang, C., GUO, H. Hao, H., Wang, S., Wu, Lin, Wei, S. & Wu, T., Wei, S. & Wu, Lin, Wei, S. and Wu, T. (2020). Association of State Health Media with CARDS-19 epidemiology smokes in Wuhan, China. Jama, 323 (19), 1915.https: //doi.org/10.1001/jama.2020.6130
Ray, Molemans, B., Schoonen, W.M., GIOVAS, JJ, JJ, JW, JJ, JJ, JW, J., JJ, Kwner, S., Iversen, HK, Maher, V. Masana, L, … (2021). EU-WI Cross-section Al solved 5 on Ion Al Studio Lorem used to modify lipids with each 100 Ondary and PR 1 Mary Care: Yes Vinci studies. European De Preventive Cardiology, 28 (11), 1279-1289.htps: //doi.org/10.1093/EURJPC/ZWAA047
Richardson, JS, Narasimhan, M., McGinn, T., Davidson, DP, JD, Cohen, SL, Coppa, K., Difenbach, Falzius, L., Gitlin, J., Haiuszadeh, N., … Entry, TP (2020). Presidential characters, comoresty and results between 5000 700 patients hospitalized with the city 19 in New York. Jama, 323 (20), 2052.htps: //doi.org/10.1001/jama.2020.6775
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Sakhavi, S., Guan, C. & Yan, S. (2018). Temporary temporary data on the brain, computer interfaces, convolutionary neural networks. IEEE transactions in Netural Networks and teaching systems, 29 (11), 5619-5629.htps /tnls.org/10.1109/Tnls.org/10.1109/Tnls.2018.2789927
Sarwar, MS, Niazi, MBK, Jahan, Z., Ahmad, T., & Hussain, A. (2018). Preparation of PVA / Nanocellulose / AG nanocomososososomive films on antimicrobial packaging. Carbohydrate polymers, 184, 453-464.htps: //doi.org/10.1016/J.CARBPOL.2017.12.068
Shao, S., McAleer, S., Yan, R. & Baldi, P. (2019). The most accurate diagnosis of machinery errors in deep learning translation. IEEE transactions in industrial informatics, 15 (4), 2446-2455.HTPS: //doi.org/10.1109/TII.2018.2864759
Succi, C. I Canvi, M. (2020). Soft skills for improving graduate employment: Comparison of students and employers’ perceptions. Studies in Higher Education, XLV (9), 1834-1847.htps: //doi.org/1085420
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Thangaramya, K. Kulothungan, K., Logambigai, R., Selvi, M., Ganapathy, S. & Kannan, A. (2019). Energy conscious cluster and neuro-vague in the routing algorithm for wireless sensor networks in IUT. Computer networks, 151, 211-222.https: //doi.org/10.1016/J.CONET.2019.0101.024
, C., Witwer, KW, Aikawa, E., Anderson, JD, AndrianTsitoohaina, R., A., Bach, J., Balav, L., Baldacchino, S., Bauer, AA, … Dental? Surma, e.k. (2018). Minimum information for extracellular linders 2018 (MISEV2018): The position called the International Company with the latest links and updates the MISEV2014 guidelines. Extracellular Vesicle 7 (1), 1535750.https: //doi.org/10.1080/20013078.2018.1535750
Tomasello, M. (2018). As children understand false beliefs: the communication intention. Acta National Academy of Sciences, 115 (34), 8491-8498.htps: //doi.org/10.1073/Pnas.1804761115
Toropova, A., Myrberg, E., Johansson, S. (2021). Teacher satisfaction: the importance of school conditions and teachers’ characters. Education Review, 73 (1), 71-97.htps: //doi.org/10.1080/00131911.2019.705247
It Technologies In Foreign Language Teaching, Distance Learning, E-digital Education
VU, Goowald, M., VRS, M., Gehermn, T. Stenelow, B., Eberhard, C., J., Cardinal, Groenewald, J., J. M., V., J., G. J. M. (2019). The production of large proportions and analysis of filamentous fungal DNA Barcodes increases the coverage for the kingdom of fungi and reveals threshold for fungal species and higher taxon delimat. Studies in Mycology, 92 (1), 135-154.htps: //doi.org/10.1016/J.Simyco.2018.05.001
Wessel, P., Luis, J.F., Uieda, L., Scharroo, R., Wobbe, F. Smith, WHF, & Tian, D. (2019). Type of mapping tools Version 6. Geochemistry, geophysist, geosystems, 20 (11), 5556-5564.htps: //doi.org/10.1029/2019GC008515
Yang, Question: Liu, Y., Chen, T., & Tong, Y. (2019). Federative machine learning: concepts and applications. ACM transactions in intelligent systems and technology, x (2), 1-19.https: //doi.org/10.1145/3298981
Yao, X. Ti F., Zhang, M., C., C. Huang, B., Niu, P., Liu, 51, H., Tan I Liu, D. (2020). Antiviral activity and projections vitro optimized Dosing design of hydroxylorulin on the treatment of serious acute respiratory syndrome Coronavirus 2 (SARS, COV- 2). C. Soccer Infectious, 71 (15), 732-739.htps: //doi.org/10.1093/CID/CIAA237
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Yun, E.-T., Lee, J. H., Kim, J., Park, H.-D., & Lee, J. (2018). Unknown unadallic mechanism in the process of activation of peroxymonosulphates: single oxygenation compared to the mediated electronic serator. Invalid Science and Technology, 52 (12), 7032-7042.http: //doi.org/10.1021/ACS.Sear.8b00959
Mufron A., Maharjan, K., Mark, E. and Xavier, E. (2024). Integration of learning impact technology improves the engagement of students. In the continuation of technologies in education, 2 (3), 254-266. Https://doi.org/10.70177/jete.v2i3.107017/jete.v2i3i3i107017i3i3i107017ecrol and its technology fully affiliated with our souls. Now information technology is important in every walk in your life. No doubt, computer and data technology is a large impact in the education system. Various technologies are used to improve learning or learning process. Information
