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Journal articles on the topic 'Endogenous learning'

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1

Erutku, Can. "Endogenous Merger with Learning." B.E. Journal of Economic Analysis & Policy 14, no. 3 (2014): 1169–84. http://dx.doi.org/10.1515/bejeap-2013-0101.

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Abstract We look at a concentrated market structure to determine the more likely merger when firms are initially asymmetric. A feature of the analysis is that a high cost firm participating in a merger can learn from the low cost participant. The determination of the equilibrium ownership structure (EOS) rests on the size of the cost asymmetries and learning abilities. Using an endogenous merger model, we find that the EOS always involves a merger between the two most efficient firms. This result holds whether firms adopt a decentralized or centralized structure post-merger and whether learnin
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2

Easley, David, and Nicholas M. Kiefer. "Optimal Learning with Endogenous Data." International Economic Review 30, no. 4 (1989): 963. http://dx.doi.org/10.2307/2526761.

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3

Sturzenegger, Federico. "Endogenous learning and trade policy." Economics Letters 49, no. 4 (1995): 429–33. http://dx.doi.org/10.1016/0165-1765(95)00714-q.

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4

Song, Yangbo. "Social learning with endogenous observation." Journal of Economic Theory 166 (November 2016): 324–33. http://dx.doi.org/10.1016/j.jet.2016.09.005.

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5

Creane, Anthony. "Endogenous Learning, Learning by Doing and Information Sharing." International Economic Review 36, no. 4 (1995): 985. http://dx.doi.org/10.2307/2527269.

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6

Fudenberg, Drew, Giacomo Lanzani, and Philipp Strack. "Limit Points of Endogenous Misspecified Learning." Econometrica 89, no. 3 (2021): 1065–98. http://dx.doi.org/10.3982/ecta18508.

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We study how an agent learns from endogenous data when their prior belief is misspecified. We show that only uniform Berk–Nash equilibria can be long‐run outcomes, and that all uniformly strict Berk–Nash equilibria have an arbitrarily high probability of being the long‐run outcome for some initial beliefs. When the agent believes the outcome distribution is exogenous, every uniformly strict Berk–Nash equilibrium has positive probability of being the long‐run outcome for any initial belief. We generalize these results to settings where the agent observes a signal before acting.
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7

van Marrewijk, C. "Capital accumulation, learning, and endogenous growth." Oxford Economic Papers 51, no. 3 (1999): 453–75. http://dx.doi.org/10.1093/oep/51.3.453.

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8

CHO, IN-KOO, and KENNETH KASA. "LEARNING DYNAMICS AND ENDOGENOUS CURRENCY CRISES." Macroeconomic Dynamics 12, no. 2 (2008): 257–85. http://dx.doi.org/10.1017/s1365100507070046.

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This paper introduces adaptive learning into the third-generation currency crisis model of Aghion, Bacchetta, and Banerjee (2001, Currency crises and monetary policy in an economy with credit constraints,European Economic Review45, 1121–1150). Adaptive learning might reflect, for example, uncertainty about the economy's exposure to adverse balance sheet effects. Even when equilibrium is unique, we show that the learning algorithm's escape dynamics can produce the same kind of Markov-switching exchange rate behavior that is typically attributed to sunspots or herds. An advantage of our learning
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9

Börgers, Tilman, and Rajiv Sarin. "Naive Reinforcement Learning With Endogenous Aspirations." International Economic Review 41, no. 4 (2000): 921–50. http://dx.doi.org/10.1111/1468-2354.00090.

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10

Mandyam, Sridhar, and Usha Sridhar. "Endogenous control of DeGroot belief learning." Social Network Analysis and Mining 3, no. 4 (2013): 803–12. http://dx.doi.org/10.1007/s13278-013-0094-z.

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11

Song, Sangcheol. "Uncertainty and Learning in International Joint Ventures." Journal of International Business and Economy 13, no. 1 (2012): 82–96. http://dx.doi.org/10.51240/jibe.2012.1.4.

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This study deals with the potential interplays between two uncertainty types (endogenous vs. exogenous uncertainty) and the role of learning in joint ventures (JVs) from the real options perspective. Regarding the role of learning under different types of uncertainty in JVs, one stream of real options research argues that learning has nothing to do with investment decision, while the other stream of research argues that investment decision is endogenous to learning. Considering that investment decisions embedded in JVs are affected by endogenous uncertainty (e.g., partner uncertainty) and exog
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12

Habgood, M. P. J., S. E. Ainsworth, and S. Benford. "Endogenous fantasy and learning in digital games." Simulation & Gaming 36, no. 4 (2005): 483–98. http://dx.doi.org/10.1177/1046878105282276.

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13

Malunga, Chiku, and Susan H. Holcombe. "Endogenous development going forward: learning and action." Development in Practice 24, no. 5-6 (2014): 777–81. http://dx.doi.org/10.1080/09614524.2014.938617.

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14

Bahn, Olivier, and Socrates Kypreos. "Incorporating different endogenous learning formulations in MERGE." International Journal of Global Energy Issues 19, no. 4 (2003): 333. http://dx.doi.org/10.1504/ijgei.2003.003199.

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15

Guse, Eran A. "Adaptive learning, endogenous uncertainty, and asymmetric dynamics." Journal of Economic Dynamics and Control 40 (March 2014): 355–73. http://dx.doi.org/10.1016/j.jedc.2014.01.020.

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16

Gomes, Orlando. "Stability under learning: The endogenous growth problem." Economic Modelling 26, no. 5 (2009): 807–16. http://dx.doi.org/10.1016/j.econmod.2009.01.018.

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17

Gomes, Orlando. "LEARNING TO GROW: A LEARNING-BASED MULTI-AGENT ENDOGENOUS GROWTH MODEL." ASIAN JOURNAL OF ECONOMICS AND FINANCE 4, no. 4 (2022): 381–409. http://dx.doi.org/10.47509/ajef.2022.v04i04.03.

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To explain economic growth, economists typically resort to a simple and stylized optimal control problem. This problem is solved by a representative agent, who plans, at a prespecified initial date, how to allocate resources over time, between consumption and savings, with the objective of maximizing intertemporal utility. It is assumed that the agent is rational, well informed, and capable of planning over long horizons (eventually an infinite horizon). In this study, the benchmark economic growth model is revisited and reinterpreted after relaxing some of its key assumptions. In particular,
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18

Ouassou, Jabir Ali, Julian Straus, Marte Fodstad, Gunhild Reigstad, and Ove Wolfgang. "Applying Endogenous Learning Models in Energy System Optimization." Energies 14, no. 16 (2021): 4819. http://dx.doi.org/10.3390/en14164819.

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Conventional energy production based on fossil fuels causes emissions that contribute to global warming. Accurate energy system models are required for a cost-optimal transition to a zero-emission energy system, which is an endeavor that requires a methodical modeling of cost reductions due to technological learning effects. In this review, we summarize common methodologies for modeling technological learning and associated cost reductions via learning curves. This is followed by a literature survey to uncover learning rates for relevant low-carbon technologies required to model future energy
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19

Trefler, Daniel. "The Ignorant Monopolist: Optimal Learning with Endogenous Information." International Economic Review 34, no. 3 (1993): 565. http://dx.doi.org/10.2307/2527182.

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20

Brezzi, Monica, and Tze Leung Lai. "Incomplete Learning from Endogenous Data in Dynamic Allocation." Econometrica 68, no. 6 (2000): 1511–16. http://dx.doi.org/10.1111/1468-0262.00170.

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21

Haaker, J., J. Yi, P. Petrovic, and A. Olsson. "Endogenous opioids scale social threat learning in humans." European Neuropsychopharmacology 27 (October 2017): S659—S660. http://dx.doi.org/10.1016/s0924-977x(17)31233-6.

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22

Greiner, Alfred. "Endogenous growth cycles—Arrow's learning by doing reconsidered." Journal of Macroeconomics 18, no. 4 (1996): 587–604. http://dx.doi.org/10.1016/s0164-0704(96)80053-x.

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23

Bouché, Stéphane. "Learning by doing, endogenous discounting and economic development." Journal of Mathematical Economics 73 (December 2017): 34–43. http://dx.doi.org/10.1016/j.jmateco.2017.08.004.

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24

d'Autume, Antoine, and Philippe Michel. "Endogenous growth in Arrow's Learning by Doing model." European Economic Review 37, no. 6 (1993): 1175–84. http://dx.doi.org/10.1016/0014-2921(93)90128-w.

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25

Çelen, Boğaçhan, and Kyle Hyndman. "Social Learning Through Endogenous Information Acquisition: An Experiment." Management Science 58, no. 8 (2012): 1525–48. http://dx.doi.org/10.1287/mnsc.1110.1506.

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26

Çelen, Boğaçhan, and Kyle Hyndman. "An experiment of social learning with endogenous timing." Review of Economic Design 16, no. 2-3 (2012): 251–68. http://dx.doi.org/10.1007/s10058-012-0127-5.

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27

Depino, Amaicha M., Mariana Alonso, Carina Ferrari, et al. "Learning modulation by endogenous hippocampal IL-1: Blockade of endogenous IL-1 facilitates memory formation." Hippocampus 14, no. 4 (2004): 526–35. http://dx.doi.org/10.1002/hipo.10164.

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28

Esclares, Decy, and Marilou Limpot. "Learning Attitudes, Motivation, and Learning Environment: A Structural Model for Filipino Language Learning." Research Frontiers: International Journal of Social Science and Technology 1, no. 1 (2025): 24–41. https://doi.org/10.55990/20250004.

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This study was conducted to identify the learning attitudes s, motivation, learning environment, and Filipino language learning of students. It also includes identifying the significant relationship between exogenous and endogenous variables in learning, as well as determining the most appropriate model for analyzing Filipino language learning among students. The respondents consisted of 400 selected students from public secondary schools in Region XI who are currently in the eighth grade. The descriptive-predictive design was used for the study, and mean, Pearson product moment correlation, m
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29

Christensen, Michael, and Thorbjørn Knudsen. "Division of roles and endogenous specialization." Industrial and Corporate Change 29, no. 1 (2019): 105–24. http://dx.doi.org/10.1093/icc/dtz071.

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Abstract We extend a core idea in James G. March’s work, that an ecology of experiential learners may generate endogenous specialization. Although prior work has studied how division of labor, in the form of task assignments, drives experience effects, we are interested in understanding how division of roles endogenously drives a process of task division, which in turn drives experience effects. The insights from a case study in a bank allow us to capture joint learning among employees who screen loan applications. Organizational roles provide constraints on the way learners interact, and ther
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30

Cutajar, M. C., and T. M. Edwards. "Evidence for the Role of Endogenous Carbon Monoxide in Memory Processing." Journal of Cognitive Neuroscience 19, no. 4 (2007): 557–62. http://dx.doi.org/10.1162/jocn.2007.19.4.557.

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For a decade and a half, nitric oxide (NO) has been implicated in memory processing across a wide variety of tasks and species. Comparatively, endogenously produced carbon monoxide (CO) has lagged behind as a target for research into the pharmacological processes underlying memory formation. This is surprising given that CO is formed in memory-associated brain regions, is structurally similar to NO, and along with NO can activate guanylate cyclase, which is an enzyme well characterized in memory processing. Nevertheless, a limited number of electrophysiological investigations have concluded th
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31

Mihályi, Péter. "Is Learning a Wonder Weapon of Endogenous Economic Growth?" Financial and Economic Review 18, no. 2 (2019): 117–39. http://dx.doi.org/10.33893/fer.18.2.117139.

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32

Fu, Wentao, and Antoine Le Riche. "Endogenous growth model with Bayesian learning and technology selection." Mathematical Social Sciences 114 (November 2021): 58–71. http://dx.doi.org/10.1016/j.mathsocsci.2021.10.003.

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33

Donovan, Ian, and Marisa Carrasco. "Endogenous spatial attention during perceptual learning facilitates location transfer." Journal of Vision 18, no. 11 (2018): 7. http://dx.doi.org/10.1167/18.11.7.

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34

MAHANI, REZA, and DAN BERNHARDT. "Financial Speculators' Underperformance: Learning, Self-Selection, and Endogenous Liquidity." Journal of Finance 62, no. 3 (2007): 1313–40. http://dx.doi.org/10.1111/j.1540-6261.2007.01237.x.

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35

Borland, Jeff. "CAREER CONCERNS: INCENTIVES AND ENDOGENOUS LEARNING IN LABOUR MARKETS." Journal of Economic Surveys 6, no. 3 (1992): 251–70. http://dx.doi.org/10.1111/j.1467-6419.1992.tb00152.x.

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36

Rauh, Michael T., and Giulio Seccia. "ANXIETY AND PERFORMANCE: AN ENDOGENOUS LEARNING-BY-DOING MODEL*." International Economic Review 47, no. 2 (2006): 583–609. http://dx.doi.org/10.1111/j.1468-2354.2006.00390.x.

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37

Seifritz, W. "An endogenous technological learning formulation for fossil fuel resources." International Journal of Hydrogen Energy 28, no. 11 (2003): 1293–98. http://dx.doi.org/10.1016/s0360-3199(02)00287-2.

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38

Heuberger, Clara F., Edward S. Rubin, Iain Staffell, Nilay Shah, and Niall Mac Dowell. "Power capacity expansion planning considering endogenous technology cost learning." Applied Energy 204 (October 2017): 831–45. http://dx.doi.org/10.1016/j.apenergy.2017.07.075.

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39

Chalioti, Evangelia. "Team production, endogenous learning about abilities and career concerns." European Economic Review 85 (June 2016): 229–44. http://dx.doi.org/10.1016/j.euroecorev.2016.01.007.

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40

L’Huillier, Jean-Paul. "Consumer Imperfect Information and Endogenous Price Rigidity." American Economic Journal: Macroeconomics 12, no. 2 (2020): 94–123. http://dx.doi.org/10.1257/mac.20170203.

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This paper studies the propagation of monetary shocks in an economy featuring a strategic microfoundation for price rigidities. Following an aggregate shock to money, most consumers are initially uninformed. The market for goods is decentralized. Firms are better off delaying the adjustment of prices until enough consumers learn. At the same time, consumers learn from firms that have adjusted prices. The implied endogenous information diffusion follows a Bernoulli differential equation, implying a nonlinear path of learning. Nonlinear learning implies hump-shaped dynamics of output and inflati
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41

Naimzada, Ahmad K., and Fabio Tramontana. "Endogenous Reactivity in a Dynamic Model of Consumer’s Choice." Discrete Dynamics in Nature and Society 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/908451.

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We move from a boundedly rational consumer model (Naimzada and Tramontana, 2008, 2010) characterized by a gradient-like decisional process in which, under particular parameters conditions, the asymptotical convergence to the optimal choice does not happen but it does under a least squared learning mechanism. In the present paper, we prove that even a less sophisticated learning mechanism leads to convergence to the rational choice and also prove that convergence is ensured when both learning mechanisms are available. The stability results that we obtain give more strength to the rational behav
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42

Grigorieva, Natalia N., Dmitry I. Kravtsov, and Evgeniya V. Popechets. "ENDOGENOUS MODELS OF ECONOMIC GROWTH WITH LIMITED RATIONALITY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2/15, no. 155 (2025): 122–28. https://doi.org/10.36871/ek.up.p.r.2025.02.15.014.

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This article presents a modification of the classical endogenous model of economic growth based on the inclusion of bounded rationality of agents through adaptive learning procedures and heuristic decision-making rules. In contrast to the traditional approach, which assumes full awareness and optimal behavior, within the framework of the developed framework, economic entities form expectations based on stochastic algorithms with a constant learning rate (constant gain learning), which allows simulating behavior under cognitive and information limitations. The theoretical model is built on a mo
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43

Saadati, Taraneh, and Burak Barutcu. "Optimized Solar Energy Forecasting for Sustainable Development Using Machine Learning, Deep Learning, and Chaotic Models." International Journal of Energy Economics and Policy 15, no. 1 (2024): 110–20. https://doi.org/10.32479/ijeep.17766.

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This study applies four forecasting approaches—Ensemble Learning (EL), Deep Learning (DL), Machine Learning (ML), and Chaotic modeling— to predict energy production from the Konya Eregli solar power plant in Turkey. Using Python, it incorporates ambient temperature and solar cell temperature as exogenous variables alongside endogenous energy data. A year’s worth of 10-min interval data is trained, with two subsequent months forecasted by each model. The False Nearest Neighbors algorithm optimizes the embedding dimension for the chaotic analysis, and an optimized Echo State Network, achieving a
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44

Beng, Tan Sooi, Kees Epskamp, Ad Boeren, and Kees Epskamp. "Learning by Performing Arts: From Indigenous to Endogenous Cultural Development." Asian Folklore Studies 54, no. 1 (1995): 134. http://dx.doi.org/10.2307/1178225.

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45

Forsythe, James, and Kees Epskamp. "Learning by Performing Arts: From Indigenous to Endogenous Cultural Development." Canadian Journal of African Studies / Revue Canadienne des Études Africaines 28, no. 3 (1994): 530. http://dx.doi.org/10.2307/485350.

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46

Donovan, Ian, and Marisa Carrasco. "Endogenous spatial attention facilitates transfer of learning to untrained locations." Journal of Vision 18, no. 10 (2018): 7. http://dx.doi.org/10.1167/18.10.7.

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47

Jiang, Yuhong V., Khena M. Swallow, and Gail M. Rosenbaum. "Guidance of spatial attention by incidental learning and endogenous cuing." Journal of Experimental Psychology: Human Perception and Performance 39, no. 1 (2013): 285–97. http://dx.doi.org/10.1037/a0028022.

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48

Bethune, Robert, and Kees Epskamp. "Learning by Performing Arts: From Indigenous to Endogenous Cultural Development." Asian Theatre Journal 12, no. 1 (1995): 209. http://dx.doi.org/10.2307/1124483.

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49

Shvartzman, Boaz, and Yoav Ram. "Self-replicating artificial neural networks give rise to universal evolutionary dynamics." PLOS Computational Biology 20, no. 3 (2024): e1012004. http://dx.doi.org/10.1371/journal.pcbi.1012004.

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In evolutionary models, mutations are exogenously introduced by the modeler, rather than endogenously introduced by the replicator itself. We present a new deep-learning based computational model, the self-replicating artificial neural network (SeRANN). We train it to (i) copy its own genotype, like a biological organism, which introduces endogenous spontaneous mutations; and (ii) simultaneously perform a classification task that determines its fertility. Evolving 1,000 SeRANNs for 6,000 generations, we observed various evolutionary phenomena such as adaptation, clonal interference, epistasis,
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50

Yu, Fenglong, Qian Chen, and Bing Hou. "Endogenesis and Externalization: Configurational Influence of Learning Engagement Among Chinese University Students Majoring in Tourism." Behavioral Sciences 15, no. 2 (2025): 111. https://doi.org/10.3390/bs15020111.

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Learning engagement among university students is a critical predictor of academic success. This study, drawing on responses from 333 questionnaires completed by Chinese tourism students, employs the fsQCA method to construct a configurational impact model of learning engagement, exploring the paths and mechanisms of its influence. The study finds that learning engagement among tourism students is shaped by the combined influence of internal and external factors, with internal factors—such as professional cognition, professional evaluations, professional emotions, and academic self-efficacy—pla
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