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1

Urhahne, Detlef. "Learning approaches." Educational Psychology 40, no. 5 (2020): 533–34. http://dx.doi.org/10.1080/01443410.2020.1755503.

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2

Wiltshire, Monica. "Approaches to learning." Early Years Educator 17, no. 11 (2016): 28–30. http://dx.doi.org/10.12968/eyed.2016.17.11.28.

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Shivaleela, Barawade, Ingole Nishikant, Dahiwele Akshay, and Kokati Drakshayini. "A Study of Learning Approaches in Undergraduate Medical Students." International Journal of Toxicological and Pharmacological Research 13, no. 1 (2023): 38–45. https://doi.org/10.5281/zenodo.11301924.

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<strong>Introduction:</strong>&nbsp;One among various methods adopted by students in the process of seeking knowledge is a learning approach. Learning approach of students will be of concern to the teachers and medical education experts.&nbsp;<strong>Methods:</strong>&nbsp;Total 155 second year MBBS students were included for study, out of which&nbsp; 143 students were participated in the study. A preformed proforma was prepared for the study which includes demographic details of the student and a R-SPQ-2F questionnaire. SPSS software was used to analysed the data. Outcome variables were descr
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4

Madeleine, Kapinga-Mutatayi, Mukendi waMpoyi Pierre, and Jan Elen. "Students Approaches to Learning: Towards a Context-specific Learning Approaches Instrument." International Journal of Higher Education 12, no. 3 (2023): 68. http://dx.doi.org/10.5430/ijhe.v12n3p68.

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Students' Approaches to Learning (SAL) are a critical determinant of learning outcomes and have been assessed around the world, from Asia to Africa, using the traditional questionnaires developed in the Western context. However, studies in Asia have challenged the traditional dichotomous view of SAL by supporting the presence of intermediate approaches, suggesting that the current view of SAL may not be universal. In response to the need for a broader understanding of SAL, a new instrument, the Approaches to Learning Questionnaire (ALQ), was developed during a pilot study. This instrument capt
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5

Jain, Migul. "Machine Learning and Deep Learning Approaches for Cybersecurity: A Review." International Journal of Science and Research (IJSR) 12, no. 10 (2023): 1706–10. http://dx.doi.org/10.21275/sr231023115126.

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6

Axatovna, Safina Farida. "LANGUAGE LEARNING AND LANGUAGE TEACHING APPROACHES." American Journal of Philological Sciences 4, no. 3 (2024): 43–45. http://dx.doi.org/10.37547/ajps/volume04issue03-08.

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The evolution of modern language teaching and learning can be traced back to the 20th century, a time when travel by land, sea, and air became more accessible to a larger portion of the population. Initially limited to Europe and North America, travel eventually expanded globally,allowing people from all continents to explore foreign lands. This accessibility marked a departure from the exclusive domain of pilgrims, explorers, and the wealthy, making foreign travel achievable for the majority in developed nations. Additionally, advancements such as the discovery of electricity and wireless com
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7

Franţuzan, Ludmila, Ina Grigor, and Cristina Straistari-Lungu. "Effective school learning: conceptual and methodological approaches." Univers Pedagogic 2, no. 66 (2020): 21–31. https://doi.org/10.5281/zenodo.4090444.

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This article examines and defines the concept of learning. The dimensions of the learning process are presented: the cognitive, emotional and social dimension and the contemporary models of learning are examined: associationist, constructivist, as information processing. It was found that the examined learning models explain the learning process from the perspective of cognitive and partially social dimensions, and the affective dimension is not addressed. So learning is approached as a specific process, only on the cognitive dimension, so it is necessary to make some changes in the educationa
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8

Duff, Angus, and Sam McKinstry. "Students' Approaches to Learning." Issues in Accounting Education 22, no. 2 (2007): 183–214. http://dx.doi.org/10.2308/iace.2007.22.2.183.

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This paper provides an overview of the students' approaches to learning (SAL) literature, including a review of the models, theories, and research instruments. SAL research has developed largely in the United Kingdom and Australasia, where its concepts are widely understood by academics. Yet little research using these ideas has been done in North America. To encourage American accounting educators to redress this imbalance, the paper describes the motivations for undertaking SAL research, describes conceptions of learning, and reviews a number of inventories developed by SAL scholars for appl
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9

Wasson, Barbara, and Paul A. Kirschner. "Learning Design: European Approaches." TechTrends 64, no. 6 (2020): 815–27. http://dx.doi.org/10.1007/s11528-020-00498-0.

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Abstract Research on instructional and learning design is ‘booming’ in Europe, although there has been a move from a focus on content and the way to present it in a formal educational context (i.e., instruction), to a focus on complex learning, learning environments including the workplace, and access to learner data available in these environments. We even see the term ‘learning experience design’ (Neelen and Kirschner 2020) to describe the field. Furthermore, there is an effort to empower teachers (and even students) as designers of learning (including environments and new pedagogies), and t
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10

Albergaria-Almeida, Patrícia, José Joaquim Teixeira-Dias, Mariana Martinho, and Chinthaka Balasooriya. "Kolb’s Learning Styles and Approaches to Learning." International Journal of Knowledge Society Research 1, no. 3 (2010): 1–16. http://dx.doi.org/10.4018/jksr.2010070101.

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The purpose of this study is to investigate if the teaching, learning and assessment strategies conceived and implemented in a higher education chemistry course promote the development of conceptual understanding, as intended. Thus, our aim is to analyse the learning styles and the approaches to learning of chemistry undergraduates with better grades.This study took place during the 1st semester of the school year 2009/2010. This research was carried out in a naturalistic setting, within the context of chemistry classes for 1st year science and engineering courses, at the University of Aveiro,
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11

Hapsari, Shinta Ratna Yudhi, Zhafirah Azzahrawaani, Adisa Siti Nurazizah, et al. "Learning approaches and strategies in online learning." Curricula: Journal of Curriculum Development 2, no. 1 (2023): 113–26. http://dx.doi.org/10.17509/curricula.v2i1.53638.

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12

Cuthbert, Peter F. "The student learning process: Learning styles or learning approaches?" Teaching in Higher Education 10, no. 2 (2005): 235–49. http://dx.doi.org/10.1080/1356251042000337972.

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13

Abdullah, Asmawi Moch., and Samsudin. "INCREASING LEARNING OUTCOMES RHYTMIC GYMNASTICS ACTIVITIES THROUGH ACTIVE LEARNING APPROACHES." International Journal of Engineering Technologies and Management Research 6, no. 10 (2019): 65–70. https://doi.org/10.5281/zenodo.3542259.

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The application of the rhythmic gymnastics learning approach must be in accordance with the characteristics of students, for that it requires an innovative and active learning approach according to all the existing characters. The method used is action research using Kemmis and Mc. Taggart with the design of planning, observation, action and reflection. The results showed an increase in rhythmic gymnastics learning outcomes. This is evidenced by the average in the pre cycle which is 43.2 with a percentage of 42.29%, in the first cycle increased to 63.9 with a percentage of 55.26% and in the se
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14

Sharma, Divesh S. "Accounting students' learning conceptions, approaches to learning, and the influence of the learning–teaching context on approaches to learning." Accounting Education 6, no. 2 (1997): 125–46. http://dx.doi.org/10.1080/096392897331532.

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15

Karimova, Barno Ergashevna. "INNOVATIVE APPROACHES TO CREATIVE PEDAGOGY." TECHNICAL SCIENCE RESEARCH IN UZBEKISTAN 2, no. 6 (2024): 71–75. https://doi.org/10.5281/zenodo.11624022.

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The article discusses various modern methods of creative pedagogy designed to enhance student learning and prepare them for the complexities of the future. It highlights seven innovative approaches: Project-Based Learning (PBL), STEAM Education, Flipped Classroom, Gamification, Maker Education, Inquiry-Based Learning (IBL), and Collaborative Learning.
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16

Rajaratnam, Navin, and SuzanneMaria D′cruz. "Learning styles and learning approaches - Are they different?" Education for Health 29, no. 1 (2016): 59. http://dx.doi.org/10.4103/1357-6283.178924.

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17

Ahamad, Maksud, and Nesar Ahmad. "Machine Learning Approaches to Digital Learning Performance Analysis." International Journal of Computing and Digital Systems 10, no. 1 (2021): 963–71. http://dx.doi.org/10.12785/ijcds/100187.

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18

Battou, Amal, Omar Baz, and Driss Mammass. "Learning Design Approaches for Designing Virtual Learning Environments." Communications on Applied Electronics 5, no. 9 (2016): 31–37. http://dx.doi.org/10.5120/cae2016652369.

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19

Doran, C., and R. J. Cameron. "Learning About Learning: Metacognitive Approaches in the Classroom." Educational Psychology in Practice 11, no. 2 (1995): 15–23. http://dx.doi.org/10.1080/0266736950110203.

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20

Javed, Abqa, Muhammad Awais, Muhammad Shoaib, Khaldoon S. Khurshid, and Mahmoud Othman. "Machine learning and deep learning approaches in IoT." PeerJ Computer Science 9 (February 6, 2023): e1204. http://dx.doi.org/10.7717/peerj-cs.1204.

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The internet is a booming sector for exchanging information because of all the gadgets in today’s world. Attacks on Internet of Things (IoT) devices are alarming as these devices evolve. The two primary areas of the IoT that should be secure in terms of authentication, authorization, and data privacy are the IoMT (Internet of Medical Things) and the IoV (Internet of Vehicles). IoMT and IoV devices monitor real-time healthcare and traffic trends to protect an individual’s life. With the proliferation of these devices comes a rise in security assaults and threats, necessitating the deployment of
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21

Alturayeif, Nouf, and Jameleddine Hassine. "Data leakage detection in machine learning code: transfer learning, active learning, or low-shot prompting?" PeerJ Computer Science 11 (March 5, 2025): e2730. https://doi.org/10.7717/peerj-cs.2730.

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With the increasing reliance on machine learning (ML) across diverse disciplines, ML code has been subject to a number of issues that impact its quality, such as lack of documentation, algorithmic biases, overfitting, lack of reproducibility, inadequate data preprocessing, and potential for data leakage, all of which can significantly affect the performance and reliability of ML models. Data leakage can affect the quality of ML models where sensitive information from the test set inadvertently influences the training process, leading to inflated performance metrics that do not generalize well
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22

Fyrenius, Anna, Staffan Wirell, and Charlotte Silén. "Student approaches to achieving understanding—approaches to learning revisited." Studies in Higher Education 32, no. 2 (2007): 149–65. http://dx.doi.org/10.1080/03075070701267194.

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23

Cochrane, Peter, David W. Kuecker, and Carl H. Smith. "Learning and Geometry: Computational Approaches." Mathematical Gazette 81, no. 490 (1997): 183. http://dx.doi.org/10.2307/3618830.

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24

Bekkar, Mohamed, and Taklit Akrouf Alitouche. "Imbalanced Data Learning Approaches Review." International Journal of Data Mining & Knowledge Management Process 3, no. 4 (2013): 15–33. http://dx.doi.org/10.5121/ijdkp.2013.3402.

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25

Thies, Armin Paul. "Neuropsychological Approaches to Learning Disorders." Review of Research in Education 12 (1985): 91. http://dx.doi.org/10.2307/1167147.

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26

Duroc, Yvan. "Teaching Approaches Encouraging Autonomous Learning." Education 2, no. 4 (2012): 96–100. http://dx.doi.org/10.5923/j.edu.20120204.06.

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27

Glassey, Richard, and Olle Bälter. "Sustainable Approaches for Accelerated Learning." Sustainability 13, no. 21 (2021): 11994. http://dx.doi.org/10.3390/su132111994.

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Sustainable education does not yet have a widely accepted definition in the literature. In this work, we start from the Sustainable Development Goal of Quality Education for All (SDG4) and interpret sustainable education as increasing the quality of learning whilst conserving the resources required to produce and deliver it. From this interpretation, we argue that one path towards realising sustainable education is through the identification of teaching practices that satisfy these conditions of increased quality whilst conserving resources. We present an overview of four case studies, where t
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28

Yu, Yue, Ruobing Wang, and Ruijie D. Teo. "Machine Learning Approaches for Metalloproteins." Molecules 27, no. 4 (2022): 1277. http://dx.doi.org/10.3390/molecules27041277.

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Metalloproteins are a family of proteins characterized by metal ion binding, whereby the presence of these ions confers key catalytic and ligand-binding properties. Due to their ubiquity among biological systems, researchers have made immense efforts to predict the structural and functional roles of metalloproteins. Ultimately, having a comprehensive understanding of metalloproteins will lead to tangible applications, such as designing potent inhibitors in drug discovery. Recently, there has been an acceleration in the number of studies applying machine learning to predict metalloprotein prope
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29

Ahmed, Meraj, Arsheen Neda Siddiqui, and Mohammed Aamir. "NER using machine learning approaches." Global Sci-Tech 11, no. 3 (2019): 135. http://dx.doi.org/10.5958/2455-7110.2019.00019.3.

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30

Pun, Min. "Teaching Learning through Interdisciplinary Approaches." Crossing the Border: International Journal of Interdisciplinary Studies 5, no. 2 (2017): 1–2. http://dx.doi.org/10.3126/ctbijis.v5i2.18432.

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There are many benefits of using interdisciplinary approaches in teaching and learning. One of the goals of teaching and learning is helping students to develop insights, problem solving skills and self-confidence. The teachers can bring them to their classroom is interdisciplinary approaches are used in the teaching learning process. In this way, interdisciplinary approaches help students develop their cognitive abilities such as skills and mental processes, which are necessary to solve the problems.Crossing the Border: International Journal of Interdisciplinary Studies 5(2) 2017: 1-2
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31

Biggs, J. B. "Assessing student approaches to learning." Australian Psychologist 23, no. 2 (1988): 197–206. http://dx.doi.org/10.1080/00050068808255604.

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32

Akl, Ahmad, Ahmed Moustafa, and Ibrahim El-Henawy. "Deep Learning: Approaches and Challenges." International Journal of Engineering Trends and Technology 65, no. 1 (2018): 9–16. http://dx.doi.org/10.14445/22315381/ijett-v65p203.

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33

Hammer, David. "Two approaches to learning physics." Physics Teacher 27, no. 9 (1989): 664–70. http://dx.doi.org/10.1119/1.2342910.

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34

Yang, Shanshan, and Mike Joy. "Approaches for Learning Prolog Programming." Innovation in Teaching and Learning in Information and Computer Sciences 6, no. 4 (2007): 88–107. http://dx.doi.org/10.11120/ital.2007.06040088.

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35

Monostori, L., A. Markus, H. Van Brussel, and E. Westkämpfer. "Machine Learning Approaches to Manufacturing." CIRP Annals 45, no. 2 (1996): 675–712. http://dx.doi.org/10.1016/s0007-8506(18)30216-6.

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36

Jacobs, Robert A. "Integrated Approaches to Perceptual Learning." Topics in Cognitive Science 2, no. 2 (2010): 182–88. http://dx.doi.org/10.1111/j.1756-8765.2009.01079.x.

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37

Brodhagen, Barbara L. "Varied Teaching and Learning Approaches." Middle School Journal 29, no. 3 (1998): 49–52. http://dx.doi.org/10.1080/00940771.1998.11494507.

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38

Langley, Pat. "Approaches to learning and representation." Behavioral and Brain Sciences 13, no. 3 (1990): 500–501. http://dx.doi.org/10.1017/s0140525x00079875.

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39

Khan, Ameer Hamid, Sagar Kulkarni, Taha Mahmood, and Ameena Khan. "Evidence-based approaches to learning." Advances in Medical Education and Practice Volume 9 (August 2018): 581–82. http://dx.doi.org/10.2147/amep.s171499.

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40

Stockwell, Glenn. "Online Approaches to Learning Vocabulary." International Journal of Computer-Assisted Language Learning and Teaching 1, no. 1 (2011): 33–44. http://dx.doi.org/10.4018/ijcallt.2011010103.

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Examples of learning vocabulary through the computer are appearing with increasing regularity in the recent CALL literature. Much of this learning, however, tends to be teacher-centred in that learners often rely on teachers to select the vocabulary items that they are to study. In the current study, pre-intermediate learners of English studying at a university in Japan were divided into two groups: a teacher-centred (TC) group where the learners were provided with online vocabulary learning activities composed of items selected by the teacher and a learner-centred (LC) group where the learner
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41

Butrous, Nasir. "Business Students’ Approaches to Learning." International Journal of Learning: Annual Review 17, no. 2 (2010): 81–94. http://dx.doi.org/10.18848/1447-9494/cgp/v17i02/46856.

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42

Munro, Marth. "Principles for embodied learning approaches." South African Theatre Journal 31, no. 1 (2018): 5–14. http://dx.doi.org/10.1080/10137548.2017.1404435.

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43

Soffi Puteh, Mohd, Nurul Ezhawati Abdul Latif, Nooriha Mansor, Yusnaliza Hamid, Sunarti Halid, and Zulkifli Ghazali. "Learning Approaches and Academic Performance." Journal of Social Sciences Research, SPI6 (December 25, 2018): 746–52. http://dx.doi.org/10.32861/jssr.spi6.746.752.

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Since Graduate on Time (GOT) being introduced as one of their key performance indicators (KPIs), certain higher education institutions are facing with situation where students are unable to complete their studies within the specified time frame. Various learning approaches have been adopted by educators in their effort to enhance students’ examination results so as to assist them to graduate on time. Studies by Tan and Laswad (2015) and Davidson (2002) have proven that learning approaches do significantly give an impact to academic performances, while Djajadikerta et al. (2008) and Chan (2011)
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44

Slavin, Robert E. "Comprehensive approaches to cooperative learning." Theory Into Practice 38, no. 2 (1999): 74–79. http://dx.doi.org/10.1080/00405849909543835.

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45

Kyndt, Eva, Elisabeth Raes, Filip Dochy, and Els Janssens. "Approaches to Learning at Work." Journal of Career Development 40, no. 4 (2012): 271–91. http://dx.doi.org/10.1177/0894845312450776.

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46

Ahmed, Alhassan Ali, Mohamed Abouzid, and Elżbieta Kaczmarek. "Deep Learning Approaches in Histopathology." Cancers 14, no. 21 (2022): 5264. http://dx.doi.org/10.3390/cancers14215264.

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The revolution of artificial intelligence and its impacts on our daily life has led to tremendous interest in the field and its related subtypes: machine learning and deep learning. Scientists and developers have designed machine learning- and deep learning-based algorithms to perform various tasks related to tumor pathologies, such as tumor detection, classification, grading with variant stages, diagnostic forecasting, recognition of pathological attributes, pathogenesis, and genomic mutations. Pathologists are interested in artificial intelligence to improve the diagnosis precision impartial
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47

Shavelson, Richard J., and Tina Seidel. "Approaches in measuring learning environments." Learning Environments Research 9, no. 3 (2007): 195–97. http://dx.doi.org/10.1007/s10984-006-9010-z.

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48

Kunigami, Masaaki. "Interdisciplinary Approaches to Learning Informatics." Journal of Systemics, Cybernetics and Informatics 21, no. 4 (2023): 18–22. http://dx.doi.org/10.54808/jsci.21.04.18.

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This paper discusses new challenges in learning informatics from an interdisciplinary perspective. As topics of learning informatics must cover very wide ranges, this paper will provide an overview with a combination of several ideas and applications. From a methodological point of view, the challenges include the concepts of 'knowledge networks', 'learner personas', and 'visualization of the experience'. From the viewpoints of educational applications, they contain the concepts of 'class design', 'peer review' and 'case learning'. The introduction of various concepts from fields such as compu
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49

Md Boktiar Hossain and Khandoker Hoque. "Machine Learning approaches in IDS." International Journal of Science and Research Archive 7, no. 2 (2022): 706–15. https://doi.org/10.30574/ijsra.2022.7.2.0303.

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With the rapid expansion of digital infrastructures, cybersecurity threats have become increasingly sophisticated, necessitating advanced protection mechanisms. Traditional security solutions, such as firewalls and rule-based intrusion detection systems (IDS), often fail to detect evolving attack patterns. Machine Learning (ML) has emerged as promising approaches for enhancing IDS capabilities by identifying anomalies and predicting cyber threats with higher accuracy. This paper provides a comprehensive review of ML methodologies applied to intrusion detection systems, focusing on their effect
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50

Esanova, Nafosat Fakhriddinovna, Yodgor Behzodovich Suyarkulov, and Gulmira Sayfiddin kizi Akhatova. "DIFFERENT APPROACHES TO LEARNING MATHEMATICS." Educational Research in Universal Sciences 4, no. 2 (2025): 154–57. https://doi.org/10.5281/zenodo.14833927.

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<em>Mathematics is a fundamental subject that plays a crucial role in various fields, including science, engineering, economics, and technology. Developing strong mathematical skills is essential for logical reasoning, problem-solving, and analytical thinking. However, different learners have different needs and preferences, which is why multiple approaches to learning mathematics exist. This document explores various methods used to teach and learn mathematics, their benefits, challenges, and how they can be combined for optimal learning outcomes.</em>
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