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1

Shin, Joonseok, Kyoung-hwan Kim, and Jiyoung Kim. "Structural relationships between learning motivation, transfer design, learning transfer and learning persistence: Focusing on learners of KIRD research ethics education." Korean Association For Learner-Centered Curriculum And Instruction 24, no. 23 (2024): 310–23. https://doi.org/10.22251/jlcci.2024.24.23.310.

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Objectives This study aims to empirically analyze the relationship between learning motivation, transfer design, learning transfer, learning persistence. Methods An empirical analysis was conducted by a survey with 309 graduates of the Cyber Research Ethics Education program, verified the model fit, relationships among latent variables, and mediation effects using SPSS and MPlus software within the framework of structural equation modeling (SEM). Results The following results were derived: First, the study found that learning motivation and transfer design had a positive impact on learning tra
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Mutlu, Gülçin, and Ali Yıldırım. "Learning Environment Perceptions and Student Background Variables as Determinants of Persistence in EFL Learning." SAGE Open 9, no. 4 (2019): 215824401989880. http://dx.doi.org/10.1177/2158244019898805.

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This study attempted to investigate the ability of English as a Foreign Language (EFL) classroom learning environment and student background characteristics to predict student persistence in EFL learning. The study also aimed to investigate whether the associations between learning environment characteristics and persistence varied by several student demographics. The sample for the study included 1,365 tertiary English preparatory program students in Turkey. Regression analyses showed that learning environment characteristics were significantly related to persistence with materials environmen
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Israel-Fishelson, Rotem, and Arnon Hershkovitz. "Persistence in a Game-Based Learning Environment: The Case of Elementary School Students Learning Computational Thinking." Journal of Educational Computing Research 58, no. 5 (2019): 891–918. http://dx.doi.org/10.1177/0735633119887187.

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Persistence has proven to be a great challenge in online learning environments. Gaming and interactivity have been suggested as essential features in reducing dropout and increasing persistence in online learning. Yet in interactive game-based learning environments, persistence in moving forward in the game may come at the expense of investing in each of the game’s levels. That is, the motivation to complete the game may have a deleterious effect on learning at specific levels and hence on learning from the game in general. Therefore, we have chosen to focus on microlevel persistence (i.e., pe
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Brigstocke, Phillipa. "ENs learning that persistence pays." Nursing Standard 6, no. 24 (1992): 41. http://dx.doi.org/10.7748/ns.6.24.41.s44.

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5

McGivney*, Veronica. "Understanding persistence in adult learning." Open Learning: The Journal of Open, Distance and e-Learning 19, no. 1 (2004): 33–46. http://dx.doi.org/10.1080/0268051042000177836.

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Milani, Fabio. "Expectations, learning and macroeconomic persistence." Journal of Monetary Economics 54, no. 7 (2007): 2065–82. http://dx.doi.org/10.1016/j.jmoneco.2006.11.007.

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Harber, Philip, Jing Su, and Cheng Cheng Hu. "Persistence of Respirator Use Learning." Journal of Occupational and Environmental Hygiene 11, no. 12 (2014): 826–32. http://dx.doi.org/10.1080/15459624.2014.925115.

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Mukhoiyaroh, Mukhoiyaroh, and Yahya Aziz. "Learning Persistence from an Islamic Perspective; Instrument Development Study and Its Correlation with Learning Outcomes." QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama 15, no. 2 (2023): 1019–38. http://dx.doi.org/10.37680/qalamuna.v15i2.3590.

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Persistence is important for students to form a personality with tough character in facing difficulties based on faith in Allah SWT. This study aims to develop an Islamic Perspective Learning Persistence instrument and find its correlation with learning outcomes. This research approach is quantitative research using exploratory factor analysis (EFA). The development of the Islamic Perspective Learning Persistence instrument is then carried out to study the effect of Islamic perspective learning persistence on learning outcomes with multiple linear regression tests. Respondents are students at
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Samputri, Salma, and Hamidah Suryani. "The Using Effect of Blended Learning on Students’ Persistence and Learning Outcomes." Jurnal Penelitian Pendidikan IPA 10, no. 8 (2024): 5961–67. http://dx.doi.org/10.29303/jppipa.v10i8.8437.

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This study aims to determine how the using effect of blended learning on students’ persistence and learning outcomes. This type of research is experiment. The independent variable is blended learning while the dependent variables are students’ persistence and learning outcomes. The population is all year seven students of SMPN 1 Kalukku Maumuju Regency of West Sulawesi province which is consists of 146 students divided into five study groups. The sampling technique is random sampling technique to get two study groups where one of them was choosen as the control class and the other class as the
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Jang, Han-byeol, and Jin-mo Kim. "The Structural Relationship Between Professor's Support, Academic Self-Efficacy, Learning Engagement, Major Satisfaction and Academic Persistence Intention of Junior College Freshmen." Korean Society for the Study of Vocational Education 42, no. 6 (2023): 25–51. http://dx.doi.org/10.37210/jver.2023.42.6.25.

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The purpose of this study was to identify the structural relationship between professor's support, academic self-efficacy, learning engagement, major satisfaction and academic persistence intention of junior college freshmen. The survey instruments used were those developed in previous studies, with confirmed reliability and validity, and 476 questionnaires were used for analysis. Data analysis included reliability analysis, descriptive statistics analysis, correlation analysis, normality analysis, and multicollinearity analysis using IBM SPSS 23.0. Confirmatory factor analysis and structural
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Zhong, Qiuju, Ying Wang, Wu Lv, Jie Xu, and Yichun Zhang. "Self-Regulation, Teaching Presence, and Social Presence: Predictors of Students’ Learning Engagement and Persistence in Blended Synchronous Learning." Sustainability 14, no. 9 (2022): 5619. http://dx.doi.org/10.3390/su14095619.

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Blended synchronous learning (BSL) is becoming increasingly widely implemented in many higher education institutions due to its accessibility and flexibility. However, little research has been conducted to explore students’ engagement and persistence and their possible predictors in such a learning mode. The purpose of this study was to investigate how to facilitate students’ engagement and persistence in BSL. In detail, this study used structural equation modeling to explore the relationships among specific predictors (self-regulation, teaching presence, and social presence), learning engagem
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Mardhiyah, Ai, Iyus Yosep, Henny Suzana Mediani, Windy Rakhmawati, and Sri Hendrawati. "OVERVIEW OF PERSISTENCE DURING ONLINE LEARNING ON NURSING STUDENTS." Journal of Nursing Culture and Technology 1, no. 1 (2024): 23–29. https://doi.org/10.70049/jnctech.v1i1.6.

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Background: Persistence is a key factor in determining the academic success of nursing students. The impact of persistence on students is improved academic performance, development of study skills, professional readiness, mental well-being, and engagement in academic and extracurricular activities. Nursing students' perceptions and practices of persistence are important to understand in the context of higher education. Objectives: This study aims to describe the level of persistence in Padjadjaran University Nursing students. Methods: The research method used is quantitative using the Self-Reg
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Ali, Maryam Abdulsalam, Noraidah Sahari Ashaari, Siti Fadzilah Mat Noor, and Suhaila Zainudin. "Identifying Students' Learning Patterns in Online Learning Environments: A Literature Review." International Journal of Emerging Technologies in Learning (iJET) 17, no. 08 (2022): 189–205. http://dx.doi.org/10.3991/ijet.v17i08.29811.

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Digital learning environments have offered new opportunities to stream educational materials such as courses, educational videos, forums and provide outcomes of the students, grades, engagement details, and learning patterns. These valuable educational data has emerged with the latest technologies and software tools to provide researchers and decision-makers with a better understanding of students' behaviours. These virtual learning environments can professionally aid struggling students by observing, learning, and identifying different learning patterns. Many researchers have discussed that e
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Ali, Maryam Abdulsalam, Noraidah Sahari Ashaari, Siti Fadzilah Mat Noor, and Suhaila Zainudin. "Identifying Students' Learning Patterns in Online Learning Environments: A Literature Review." International Journal of Emerging Technologies in Learning (iJET) 17, no. 08 (2022): 189–205. http://dx.doi.org/10.3991/ijet.v17i08.29811.

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Digital learning environments have offered new opportunities to stream educational materials such as courses, educational videos, forums and provide outcomes of the students, grades, engagement details, and learning patterns. These valuable educational data has emerged with the latest technologies and software tools to provide researchers and decision-makers with a better understanding of students' behaviours. These virtual learning environments can professionally aid struggling students by observing, learning, and identifying different learning patterns. Many researchers have discussed that e
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Sabbioni, Luca, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, and Marcello Restelli. "Simultaneously Updating All Persistence Values in Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9668–76. http://dx.doi.org/10.1609/aaai.v37i8.26156.

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In Reinforcement Learning, the performance of learning agents is highly sensitive to the choice of time discretization. Agents acting at high frequencies have the best control opportunities, along with some drawbacks, such as possible inefficient exploration and vanishing of the action advantages. The repetition of the actions, i.e., action persistence, comes into help, as it allows the agent to visit wider regions of the state space and improve the estimation of the action effects. In this work, we derive a novel operator, the All-Persistence Bellman Operator, which allows an effective use of
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Yu, Jianhui, Changqin Huang, Zhongmei Han, Tao He, and Ming Li. "Investigating the Influence of Interaction on Learning Persistence in Online Settings: Moderation or Mediation of Academic Emotions?" International Journal of Environmental Research and Public Health 17, no. 7 (2020): 2320. http://dx.doi.org/10.3390/ijerph17072320.

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Learning persistence is a critical element for successful online learning. The evidence provided by psychologists and educators has shown that students’ interaction (student-student (SS) interaction, student-instructor (SI) interaction, and student-content (SC) interaction) significantly affects their learning persistence, which is also related to their academic emotions. However, few studies explore the relations among students’ interaction, academic emotions and learning persistence in online learning environments. Furthermore, no research has focused on multi-dimensional students’ interacti
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Banat, Azizatul, and Mariska Febrianti. "Learning Persistence in Online Learning Assisted by English Module Media." Scope : Journal of English Language Teaching 8, no. 1 (2023): 27. http://dx.doi.org/10.30998/scope.v8i1.19128.

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<p>This research aims to determine the learning persistence in online learning assisted by English module media for English general course (MKU) students after the spread of the Corona virus and entering an endemic period. The population in this research was 1<sup>st</sup> semester students of Physical Education Study Program, Faculty of Teacher Training and Education, the University of Dehasen Bengkulu, in Academic Year of 2022/2023. Sampling used was random sampling with a sample of 90 people who were students of class A1, A2, A3. Data collection techniques employed triangu
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Moreno-Marcos, Pedro Manuel, Pedro J. Muñoz-Merino, Carlos Alario-Hoyos, and Carlos Delgado Kloos. "Re-Defining, Analyzing and Predicting Persistence Using Student Events in Online Learning." Applied Sciences 10, no. 5 (2020): 1722. http://dx.doi.org/10.3390/app10051722.

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In education, several studies have tried to track student persistence (i.e., students’ ability to keep on working on the assigned tasks) using different definitions and self-reported data. However, self-reported metrics may be limited, and currently, online courses allow collecting many low-level events to analyze student behaviors based on logs and using learning analytics. These analyses can be used to provide personalized and adaptative feedback in Smart Learning Environments. In this line, this work proposes the analysis and measurement of two types of persistence based on students’ intera
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Setiawan, Yayan Eryk, Ahmad Sufyan Zauri, Rr Ettie Rukmigarsari, Syaifuddin Syaifuddin, and Yuli Ismi Nahdiyati Ilmi. "Disposition of Students Learning Independence to Support Learning Success During the COVID-19 Pandemic." Jurnal Pendidikan dan Pengajaran 55, no. 1 (2022): 105–14. http://dx.doi.org/10.23887/jpp.v55i1.44686.

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Nowadays online learning causes a decrease in student understanding. One of the factors that influence this decrease is the student's thinking disposition. Thus, it is important to identify the dispositions needed by students to support their success in online learning. The purpose of this study was to identify the disposition of learning independence that is used as a supporter of successful online learning. The method of this research is quantitative research with a survey approach. The sample of this study consisted of 138 students in the mathematics education study program. The data collec
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20

Nurjanah, Mila, T. Sri Suwarti, and Rr Festi Himatu Karima. "Persistency in Nationalism Found in Rudy Habibie Movie by Hanung Bramantyo." Allure Journal 3, no. 1 (2022): 1–13. http://dx.doi.org/10.26877/allure.v3i1.11954.

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This research was written to describe the characterization of Rudy and find the conflicts that exist in the movie so that the writer can find the main points of research that show the persistence in nationalism found in Rudy’s struggle in the Rudy Habibie movie. The research focused in persistency in nationalism in Rudy Habibie movie. To analyze this research was made with qualitative and descriptive methods. The writer used the subtitle of the Rudy Habibie movie as the object of research. The results of this research found 3 characterizations that resulted in 8 characters, 3 internal conflict
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Jacob, Brian A., Lars Lefgren, and David P. Sims. "The Persistence of Teacher-Induced Learning." Journal of Human Resources 45, no. 4 (2010): 915–43. http://dx.doi.org/10.3368/jhr.45.4.915.

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Loiseaux, David, and Hannah Schreiber. "multipers: Multiparameter Persistence for Machine Learning." Journal of Open Source Software 9, no. 103 (2024): 6773. http://dx.doi.org/10.21105/joss.06773.

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Jacob, Brian A., Lars Lefgren, and David P. Sims. "The Persistence of Teacher-Induced Learning." Journal of Human Resources 45, no. 4 (2010): 915–43. http://dx.doi.org/10.1353/jhr.2010.0029.

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So, Suk, and Bokyeong Kim. "The Relationship between Interactions of Class Members’ and Learning Persistence in Asynchronous Online Instructions: Sequential Mediating Effects of Online Self-Regulated Learning and Negative Emotions." Korea Association of Yeolin Education 32, no. 4 (2024): 1–21. http://dx.doi.org/10.18230/tjye.2024.32.4.1.

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This study is an empirical study to confirm the influence of online self-regulated learning and negative emotions in the relationship between class members’ interactions and learning persistence in asynchronous online instruction. To this end, data was collected and analyzed for 447 college students. The results are as follows. First, the mediating effects of online self-regulated learning were positively significant and negative emotions were negatively significant in the relationship between class members’ interaction and learning persistence. Second, the sequential mediating effects of onli
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YAMAMOTO, RYUICHI. "WHAT CAUSES PERSISTENCE OF STOCK RETURN VOLATILITY? ONE POSSIBLE EXPLANATION WITH AN ARTIFICIAL STOCK MARKET." New Mathematics and Natural Computation 02, no. 03 (2006): 261–70. http://dx.doi.org/10.1142/s1793005706000555.

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This paper explores a possible cause of persistence in stock return volatility. Artificial stock markets are examined with different learning mechanisms, i.e. imitative and experiential learning. The simulation result shows that an economy with imitative learning gives rise to persistence of return volatility while an experiential learning economy does not. We find that volatility becomes persistent as investors learn through imitating the prediction methods of others. Imitation is crucial to producing the persistence in stock return volatility.
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Andrabi, Tahir, Jishnu Das, Asim Ijaz Khwaja, and Tristan Zajonc. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics." American Economic Journal: Applied Economics 3, no. 3 (2011): 29–54. http://dx.doi.org/10.1257/app.3.3.29.

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This paper illustrates the central role of persistence in estimating and interpreting value-added models of learning. Using data from Pakistani public and private schools, we apply dynamic panel methods that address three key empirical challenges: imperfect persistence, unobserved heterogeneity, and measurement error. Our estimates suggest that only one-fifth to one-half of learning persists between grades and that private schools increase average achievement by 0.25 standard deviations each year. In contrast, value-added models that assume perfect persistence yield severely downward estimates
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Кузнєцов, Марат, Оксана Галата, Наталія Діомідова, Тарас Жванія, and Ольга Довженко. "THE SYSTEM OF PSYCHOLOGICAL PREDICTORS OF PERSISTENCE OF SUCCESSFUL AND UNSUCCESSFUL STUDENTS IN EDUCATIONAL ACTIVITIES." Вісник ХНПУ імені Г. С. Сковороди "Психология", no. 63 (2020): 54–81. http://dx.doi.org/10.34142/23129387.2020.63.04.

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The relevance of research. The analysis of students' persistence in learning is a promising and insufficiently studied direction of volitional regulation of educational activity. The search for psychological (cognitive, emotional-volitional, motivational and personal) predictors of persistence is especially relevant (Magdalena Marszał-Wiśniewska, Ewa Jarczewska-Gerc, 2015). The formation of persistence in studies as a volitional quality of a person and a mechanism for self-regulation of activity can be considered as the goal of the efforts of counseling psychologists, psychological support wor
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Chen, Yuzhou, Jose Frias, and Yulia R. Gel. "TopoGCL: Topological Graph Contrastive Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (2024): 11453–61. http://dx.doi.org/10.1609/aaai.v38i10.29026.

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Graph contrastive learning (GCL) has recently emerged as a new concept which allows for capitalizing on the strengths of graph neural networks (GNNs) to learn rich representations in a wide variety of applications which involve abundant unlabeled information. However, existing GCL approaches largely tend to overlook the important latent information on higher-order graph substructures. We address this limitation by introducing the concepts of topological invariance and extended persistence on graphs to GCL. In particular, we propose a new contrastive mode which targets topological representatio
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Park, Ju Young. "The Effect of Self-directed Learning Strategies on e-Learning Pre-learning of Nursing Students: Focusing on the Flow Experience." Journal of Korean Academy of Fundamentals of Nursing 27, no. 1 (2020): 52–63. http://dx.doi.org/10.7739/jkafn.2020.27.1.52.

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Purpose: The purpose of this study was to investigate the effect of self-directed learning strategies on e-learning pre-learning focusing on the flow experience.Methods: A structured self-report questionnaire was used to measure learning outcome achievement, pre-learning satisfaction, learning persistence, flow experience, and self-directed learning strategies. Data were collected from September 3~7, 2018. Participants were 150 nursing students studying at a university in D city. Data were analyzed using t-test, one-way ANOVA, Pearson correlation coefficients, and hierarchical multiple linear
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Yuntari, Yustina Hilda, and Syukrul Hamdi. "Efektivitas Pembelajaran berbasis Infographic Project ditinjau dari Statistical Reasoning dan Learning Persistence." PYTHAGORAS Jurnal Pendidikan Matematika 19, no. 1 (2024): 77–91. https://doi.org/10.21831/pythagoras.v19i1.76174.

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Penelitian ini bertujuan untuk mendeskripsikan efektivitas pembelajaran berbasis infographic project ditinjau dari statistical reasoning dan learning persistence siswa SMA pada materi Penyajian Data Statistika. Penelitian ini adalah penelitian kuasi eksperimen dengan model pretest-posttest control group design sehingga terdapat kelas eksperimen dan kelas kontrol. Kelas eksperimen menggunakan model pembelajaran berbasis infographic project, sedangkan kelas kontrol menggunakan model pembelajaran ekspositori. Populasi penelitian adalah siswa kelas X di SMA Angkasa Adisutjipto Yogyakarta dengan cl
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Bergomi, Mattia G., Massimo Ferri, Alessandro Mella, and Pietro Vertechi. "Generalized Persistence for Equivariant Operators in Machine Learning." Machine Learning and Knowledge Extraction 5, no. 2 (2023): 346–58. http://dx.doi.org/10.3390/make5020021.

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Artificial neural networks can learn complex, salient data features to achieve a given task. On the opposite end of the spectrum, mathematically grounded methods such as topological data analysis allow users to design analysis pipelines fully aware of data constraints and symmetries. We introduce an original class of neural network layers based on a generalization of topological persistence. The proposed persistence-based layers allow the users to encode specific data properties (e.g., equivariance) easily. Additionally, these layers can be trained through standard optimization procedures (bac
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Coqueret, Guillaume. "Persistence in factor-based supervised learning models." Journal of Finance and Data Science 8 (November 2022): 12–34. http://dx.doi.org/10.1016/j.jfds.2021.10.002.

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Kasai, Haruo, Tatsuya Hayama, Motoko Ishikawa, Satoshi Watanabe, Sho Yagishita, and Jun Noguchi. "Learning rules and persistence of dendritic spines." European Journal of Neuroscience 32, no. 2 (2010): 241–49. http://dx.doi.org/10.1111/j.1460-9568.2010.07344.x.

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Medalia, Alice. "EXPECTANCY THEORY AND LEARNING PERSISTENCE IN SCHIZOPHRENIA." Schizophrenia Research 117, no. 2-3 (2010): 277. http://dx.doi.org/10.1016/j.schres.2010.02.447.

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Gaspar, Vitor, Frank Smets, and David Vestin. "Adaptive Learning, Persistence, and Optimal Monetary Policy." Journal of the European Economic Association 4, no. 2-3 (2006): 376–85. http://dx.doi.org/10.1162/jeea.2006.4.2-3.376.

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Gloviczki, Peter Joseph. "Learning Persistence Through Sports: Three Autoethnographic Sketches." Journal of Loss and Trauma 21, no. 5 (2015): 447–50. http://dx.doi.org/10.1080/15325024.2015.1075794.

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Obayashi, Ippei, Yasuaki Hiraoka, and Masao Kimura. "Persistence diagrams with linear machine learning models." Journal of Applied and Computational Topology 1, no. 3-4 (2018): 421–49. http://dx.doi.org/10.1007/s41468-018-0013-5.

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Kamid, Dwi Agus Kurniawan, Rahmat Perdana, et al. "The Persistence Character and Math Processing Skills of Elementary School Students in Thematic Learning." Jurnal Ilmiah Sekolah Dasar 7, no. 2 (2023): 363–73. http://dx.doi.org/10.23887/jisd.v7i2.55094.

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Mathematical process skills and study persistence are indicators of student learning success. Lack of persistence and mathematical process skills can hinder the distribution of knowledge in the learning process to students. So, it is important to conduct this research to measure the effect of mathematical process skills on students' persistence character. The survey method uses a mixed method with a sequential explanatory design. A simple random sampling technique was used as the sampling method in this study. In this study, hypothesis testing with a t-test and simple linear regression test is
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Maryani, Ika, Hana Selvi Dwi Cahyani, and Amaliyah Ulfah. "Self-Efficacy, Anxiety Level, and their Effects on Students’ Self-Persistence in Learning Science." Journal of Education Technology 8, no. 4 (2024): 585–94. https://doi.org/10.23887/jet.v8i4.46835.

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The current problem is that many prospective teachers have not been able to complete their studies at university. This is due to obstacles from within themselves or from the surrounding environment. This study analyzes self-efficacy, anxiety, self-persistence, and the relationship between self-efficacy and anxiety levels toward students' self-persistence in science learning. The research explores how self-efficacy and anxiety levels affect students' self-persistence to complete learning in all science courses to produce professional graduates. The study uses a quantitative approach, using the
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Kai, Shimin, Victoria Almeda, Ryan S. Baker, Cristina Heffernan, and Neil Heffernan. "Decision Tree Modeling of Wheel- Spinning and Productive Persistence in Skill Builders." Journal of Educational Data Mining 10, no. 1 (2018): 36–71. https://doi.org/10.5281/zenodo.3344873.

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Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning. For this reason, it becomes increasingly pertinent to identify the key differences between unproductive and productive persistence toward informing interventions in computer-based learning environments. In this study, we use a classification model to
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Kim, Yu-Rin, Mi-Gyung Seong, and Hyun-Kyung Kang. "The Effects of Academic-Related Characteristics and ASE Model Factors on Learning Persistence of Dental Hygiene Students." Korean Society of Oral Health Science 10, no. 3 (2022): 104–11. http://dx.doi.org/10.33615/jkohs.2022.10.3.104.

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Objectives: The purpose of this study was to determine the effect of academic-related characteristics and ASE Model factors on learning persistence of dental hygiene students.
 Methods: This study was conducted through an online questionnaire from April to May 2022 among 229 college students enrolled in the department of Dental Hygiene in Busan and Gyeongnam.
 Results: Learning persistence was higher for 4-year students compared to 3-year students. The higher the participation in the department study group, the more the department mentoring program, the more major club activities, an
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Onyishi, Charity Neejide. "Developing Task Persistence Skills in College Students with Hard of Hearing Using Strategic Content Learning." Studies in Learning and Teaching 4, no. 1 (2023): 1–12. http://dx.doi.org/10.46627/silet.v3i2.187.

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Poor task persistence is a major inhibitor of effective learning among students with hearing impairment. This study investigated the effect of strategic content learning (SCL) on poor task persistence of students with hearing loss in Nigeria. The study adopted a pretest-posttest control group design. A total of 117 participants from four special schools for hearing impaired in South-East Nigeria completed a task persistence scale at pre-treatment, post-treatment, and follow-up. Intervention was carried out for nine weeks using strategic content learning program manual. Data collected were anal
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Onyishi, Charity Neejide. "Developing Task Persistence Skills in College Students with Hard of Hearing Using Strategic Content Learning." Studies in Learning and Teaching 4, no. 1 (2023): 1–12. http://dx.doi.org/10.46627/silet.v4i1.187.

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Poor task persistence is a major inhibitor of effective learning among students with hearing impairment. This study investigated the effect of strategic content learning (SCL) on poor task persistence of students with hearing loss in Nigeria. The study adopted a pretest-posttest control group design. A total of 117 participants from four special schools for hearing impaired in South-East Nigeria completed a task persistence scale at pre-treatment, post-treatment, and follow-up. Intervention was carried out for nine weeks using strategic content learning program manual. Data collected were anal
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Akhmad Harum. "Profile of Student Learning Persistence in South Sulawesi: Analysis of Age, Education Level, and Grade Level." JCOSE Jurnal Bimbingan dan Konseling 6, no. 2 (2024): 1–6. http://dx.doi.org/10.24905/jcose.v6i2.159.

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This study aims to identify the academic persistence of students in South Sulawesi based on aspects of Age, Education Level and Grade level. This research uses Descriptive Quantitative research method. The subjects of the study were students from various schools in South Sulawesi at the junior high, high school and vocational levels totaling 1230 students. The research instruments are: The academic Persistence Scale refers to (Constantin, Holman, &; Hojbotǎ, 2012) 12 items and developed by (Talib, Paramitha Hanafi, Fahmi Aufar, Irbah, &; S, 2018) which divides into three aspects of per
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Conti, Francesco, Davide Moroni, and Maria Antonietta Pascali. "A Topological Machine Learning Pipeline for Classification." Mathematics 10, no. 17 (2022): 3086. http://dx.doi.org/10.3390/math10173086.

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In this work, we develop a pipeline that associates Persistence Diagrams to digital data via the most appropriate filtration for the type of data considered. Using a grid search approach, this pipeline determines optimal representation methods and parameters. The development of such a topological pipeline for Machine Learning involves two crucial steps that strongly affect its performance: firstly, digital data must be represented as an algebraic object with a proper associated filtration in order to compute its topological summary, the Persistence Diagram. Secondly, the persistence diagram mu
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Lee, EunBin, DaeYeong Lee, and Min-Ho Joo. "The Effects of Instructor’s Facilitation and Learning Flow on University Students’ Learning Satisfaction and Learning Persistence in Non-Face-to -Face Learning Environment due to Covid-19." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 15 (2022): 115–30. http://dx.doi.org/10.22251/jlcci.2022.22.15.115.

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Objectives The purpose of this study is to present strategies for effective non-face-to-face instruction through examination of the impact of instructors’ facilitation and learning flow on university students' learning satisfaction and persistence in a remote learning environment due to Covid-19.
 Methods A survey regarding instructors’ facilitation, learning flow, learning satisfaction and learning persistence was conducted among 262 university students nationwide for two weeks. The results went through data coding and cleaning as well as series of reliability and validity tests. Further
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Septiana, Dwi, Mieke Miarsyah, and Ratna Komala. "THE EFFECT OF RECIPROCAL TEACHING LEARNING MODEL INTEGRATED MIND MAP AND PERSISTENCE ON STUDENT RETENTION OF KINGDOM ANIMALIA CONCEPT." BIOSFER: JURNAL PENDIDIKAN BIOLOGI 10, no. 2 (2017): 35–41. http://dx.doi.org/10.21009/biosferjpb.10-2.5.

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The low score of students learning outcome on Kingdom Animalia concept indicate that there must an improvement of students retention. The aim of this study is to know the effect of reciprocal teaching learning model that integrated with mind map and persistence on students retention. The method that used in this research is quasi experiment with 2 x 2 factorial design. The instruments that used in this research are learning outcome test and persistence questionnaire. The subject of this study is students of X IPA 1 and 2 from SMAN 49 Jakarta totalling 72 students. Samples were taken using simp
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Jaravata, Venus Jhenica, Vince Joshua Silva, Angeles Rovic Delos, Jeremich Serafica, and Noralyn Muria. "Self-Determination and Academic Persistence among Alternative Learning System Students: Implications for Program Enrichment." Psychology and Education: A Multidisciplinary Journal 20, no. 10 (2024): 1344–56. https://doi.org/10.5281/zenodo.12007772.

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Education is a critical determinant of student success; however, numerous factors hinder degree completion among some Filipinos. In this context, 'non-traditional students' encompass out-of-school children, youth, and adults. This demographic exhibits an elevated dropout risk compared to other students. Specifically, in Lipa City, only 89.42% of non-traditional students complete their programs, with a dropout rate of 10.58%, which prompted the conduct of the present study. Using a correlational research design, this study investigates the correlation between self-determination and academic per
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Arsisari, Ayen. "PENERAPAN PENDEKATAN PROBLEM CENTERED LEARNING UNTUK MENINGKATKAN PERSISTENCE (KEGIGIHAN) MATEMATIS SISWA DI SMP." Lentera Sriwijaya : Jurnal Ilmiah Pendidikan Matematika 1, no. 2 (2019): 34–45. http://dx.doi.org/10.36706/jls.v1i2.9848.

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Penelitian ini didasarkan pada permasalahan rendahnya kegigihan (persistence) matematis siswa SMP dalam pelajaran matematika.Penelitian ini bertujuan untuk mengetahui peningkatan kegigihan (persistence) matematis antara siswa yang memperoleh pendekatan PCL (Problem Centered Learning) dan pembelajaran konvensional.Penelitian ini merupakan penelitian kuasi eksperimen dengan desain kelompok control non-equivalent design menggunakan teknik purposive sampling dengan mengambil subjek penelitian adalah siswa salah satu SMP Negeri di Kota Bandung.Sedangkan sampel penelitiannya adalah siswa kelas eskpe
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Siti Badriah and Surawan Surawan. "Peran Self-Determination dalam Meningkatkan Ketekunan Belajar Mahasiswa di Era Digital." Observasi : Jurnal Publikasi Ilmu Psikologi 3, no. 3 (2025): 409–23. https://doi.org/10.61132/observasi.v3i3.1506.

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This study aims to examine the role of Self-Determination in improving students' learning persistence in the digital era. Self-Determination Theory explains that long-lasting learning motivation arises from within the individual, which is influenced by the fulfillment of three basic psychological needs: autonomy, competence, and relatedness. Amidst the challenges of the digital era, such as social media distractions, students are required to have internal motivation to remain diligent in learning. Through a qualitative approach, the researcher interviewed five students in depth. The results sh
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