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Статті в журналах з теми "Learning, Psychology of"
Chin, G. J. "PSYCHOLOGY: Statistical Learning." Science 291, no. 5503 (January 19, 2001): 401a—401. http://dx.doi.org/10.1126/science.291.5503.401a.
Повний текст джерелаDogra, Ambalika, and Sunil Dutt. "Effect of Online Learning in Psychology course on Undergraduate students’ Engagement in Learning." Issues and Ideas in Education 4, no. 1 (March 7, 2016): 21–28. http://dx.doi.org/10.15415/iie.2016.41002.
Повний текст джерелаA, Rangaswamy, Balasubramanian P, and Sweety Nirmala R. "The Psychology of Learning." i-manager’s Journal on Educational Psychology 1, no. 1 (July 15, 2007): 19–22. http://dx.doi.org/10.26634/jpsy.1.1.454.
Повний текст джерелаPetitpas, Albert J. "Learning Sport Psychology Skills." Athletic Therapy Today 4, no. 1 (January 1999): 61–62. http://dx.doi.org/10.1123/att.4.1.61.
Повний текст джерелаLakoff, R. "PSYCHOLOGY: Learning from Words." Science 318, no. 5855 (November 30, 2007): 1384–85. http://dx.doi.org/10.1126/science.1150869.
Повний текст джерелаKOBAYASHI, Keiichi. "Learning About Psychology From Service Experiences: Service-Learning in Undergraduate Psychology Education." Annual Report of Educational Psychology in Japan 46 (2007): 149–55. http://dx.doi.org/10.5926/arepj1962.46.0_149.
Повний текст джерелаSzokolszky, Agnes, Catherine Read, Zsolt Palatinus, and Kinga Palatinus. "Ecological approaches to perceptual learning: learning to perceive and perceiving as learning." Adaptive Behavior 27, no. 6 (June 13, 2019): 363–88. http://dx.doi.org/10.1177/1059712319854687.
Повний текст джерелаBOTTERILL, GEORGE. "Learning from Error: Karl Popper's Psychology of Learning." Philosophical Books 27, no. 2 (February 12, 2009): 98–100. http://dx.doi.org/10.1111/j.1468-0149.1986.tb01158.x.
Повний текст джерелаLAOR, NATHANIEL. "Learning From Error: Karl Popper's Psychology of Learning." American Journal of Psychiatry 142, no. 10 (October 1985): 1214. http://dx.doi.org/10.1176/ajp.142.10.1214.
Повний текст джерелаWinarso, Widodo, and Onwardono Rit Riyanto. "Treatment of Learning Anxiety: A Bibliometric Review in Islamic Psychology." QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama 15, no. 2 (October 20, 2023): 871–86. http://dx.doi.org/10.37680/qalamuna.v15i2.3098.
Повний текст джерелаДисертації з теми "Learning, Psychology of"
Gudkova, N. "The psychology of learning a foreign language." Thesis, Київський національний університет технологій та дизайну, 2019. https://er.knutd.edu.ua/handle/123456789/13057.
Повний текст джерелаSmith, Tamarah. "Factors Related to Undergraduate Psychology Majors Learning Statistics." Diss., Temple University Libraries, 2013. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/216603.
Повний текст джерелаPh.D.
Factors Related to Undergraduate Psychology Majors Learning Statistics Tamarah Faye Smith Doctor of Philosophy: Educational Psychology Major Advisor: Dr. Frank Farley The American Psychological Association (APA) has outlined goals for psychology undergraduates. These goals are aimed at several objectives including the need to build skills for interpreting and conducting psychological research (APA, 2007). These skills allow psychologists to conduct research that is covered in the media (Farley et al. 2009) and influences policy and law (Fischer, Stein & Heikkinen, 2009; Steinberg, Cauffman, Woolard, Graham & Banich, 2009a; Steinberg, Cauffman, Woolard, Graham & Banich, 2009b). One of the fundamental courses required for building these skills is statistics, a course that begins at the undergraduate level. Research has suggested that performance after completing statistics courses is weak for many students (Garfield, 2003; Hirsch & O'Donnell, 2001; Konold et al. 1993; Mulhern & Wylie, 2005; Schau & Mattern, 1997). The current study examined factors that may be related to performance on a statistical test. A sample of 231 students enrolled in or having already completed a statistics course for psychology majors completed a statistical skill questionnaire, built by the author, to measure performance with four APA outlined goals. To measure student attitudes the Survey of Attitudes Toward Statistics (SATS-36; Schau, 2003) was completed with adapted questions to measure perceived attitudes of peers and faculty toward statistics. Finally, questions pertaining to classroom techniques and content areas covered were assessed. Building off of social cognitive theory (SCT; Bandura, 1986) and expectancy-value theory (Eccles & Wigfield, 2002), it was expected that lower attitudes, such as low value and low interest, among the students and those perceived to be held by faculty and peers would be related to lower performance on the statistical test. A series of linear regressions were conducted and revealed no significant relationship between perceived faculty attitudes and performance. Students' own liking and positive affect ratings were positive predictors of performance indicating a gain of 3-4% on the statistical test. However, an interesting negative relationship emerged with respect to students' value of statistics and peer interest scores where performance on the statistical test decreased as value and peer interest increased. This may be demonstrating issues pertaining to the SATS-36 validity when measuring students' value as well as issues with the items created to measure perceived peer interest. The results of a factor analysis on perceived attitude measures for peers and faculty suggest that the need for more items is necessary, particularly for faculty attitudes. Finally, this study provides a first look at the performance of a sample of psychology students with APA goals for quantitative reasoning. Results showed that students performed best at reading basic descriptive statistics (M=74.5%), and worst when choosing statistical tests for a given research hypothesis (M=30%). Performance on questions pertaining to confidence intervals (M=38%) and discriminating between statistical and practical significance (M=39%) was also low. Future research can address limitations of this study by expanding the sample to include a broader range of psychology undergraduates and including additional items for measuring perceived attitudes. Other methodological approaches, such as experimental design and directly measuring faculty attitudes, should also be considered. Finally, further research and replication are necessary to determine if scores on the statistical test will continue to be low with other samples and varying question formats. These results can then be used to generate conversation about why and how students are, or are not, learning the appropriate quantitative skills.
Temple University--Theses
O'Donohue, Michael G. "The teaching and learning of statistics in psychology." Thesis, Queen's University Belfast, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286861.
Повний текст джерелаStachenfeld, Kimberly. "Learning Neural Representations that Support Efficient Reinforcement Learning." Thesis, Princeton University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10824319.
Повний текст джерелаRL has been transformative for neuroscience by providing a normative anchor for interpreting neural and behavioral data. End-to-end RL methods have scored impressive victories with minimal compromises in autonomy, hand-engineering, and generality. The cost of this minimalism in practice is that model-free RL methods are slow to learn and generalize poorly. Humans and animals exhibit substantially improved flexibility and generalize learned information rapidly to new environment by learning invariants of the environment and features of the environment that support fast learning rapid transfer in new environments. An important question for both neuroscience and machine learning is what kind of ``representational objectives'' encourage humans and other animals to encode structure about the world. This can be formalized as ``representation feature learning,'' in which the animal or agent learns to form representations with information potentially relevant to the downstream RL process. We will overview different representational objectives that have received attention in neuroscience and in machine learning. The focus of this overview will be to first highlight conditions under which these seemingly unrelated objectives are actually mathematically equivalent. We will use this to motivate a breakdown of properties of different learned representations that are meaningfully different and can be used to inform contrasting hypotheses for neuroscience. We then use this perspective to motivate our model of the hippocampus. A cognitive map has long been the dominant metaphor for hippocampal function, embracing the idea that place cells encode a geometric representation of space. However, evidence for predictive coding, reward sensitivity, and policy dependence in place cells suggests that the representation is not purely spatial. We approach the problem of understanding hippocampal representations from a reinforcement learning perspective, focusing on what kind of spatial representation is most useful for maximizing future reward. We show that the answer takes the form of a predictive representation. This representation captures many aspects of place cell responses that fall outside the traditional view of a cognitive map. We go on to argue that entorhinal grid cells encode a low-dimensional basis set for the predictive representation, useful for suppressing noise in predictions and extracting multiscale structure for hierarchical planning.
Dickerhoof, Alison M. "Associative Learning versus Rule-Learning: A Computer Model of Pattern Phrasing Effects." Kent State University Honors College / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1335706258.
Повний текст джерелаStratton, Nick. "Analytical psychology and learning theory towards the development of a unified model of learning." Thesis, University of Essex, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.517284.
Повний текст джерелаBalleine, Bernard Walter. "Incentive learning." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240892.
Повний текст джерелаGriffin, Gerard Francis. "Aspects of the psychology of second language vocabulary list learning." Thesis, University of Warwick, 1992. http://wrap.warwick.ac.uk/36070/.
Повний текст джерелаLiew, Kong Meng. "Applications of Machine Learning in Exploratory Approaches to Cultural Psychology." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263732.
Повний текст джерела新制・課程博士
博士(人間・環境学)
甲第23271号
人博第986号
京都大学大学院人間・環境学研究科共生人間学専攻
(主査)教授 内田 由紀子, 教授 齋木 潤, 教授 月浦 崇
学位規則第4条第1項該当
Doctor of Human and Environmental Studies
Kyoto University
DGAM
Hawkins, P. "Living the learning : An exploration of learning processes in primary learning communities and the development of a learning perspective to inform team development." Thesis, University of Bath, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376325.
Повний текст джерелаКниги з теми "Learning, Psychology of"
Hammonds, Barbara L., ed. Psychology and learning. Washington: American Psychological Association, 1985. http://dx.doi.org/10.1037/10053-000.
Повний текст джерелаShanks, David. Psychology of Learning. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2009. http://dx.doi.org/10.4135/9781446263075.
Повний текст джерелаLimone, Pierpaolo, Raffaele Di Fuccio, and Giusi Antonia Toto, eds. Psychology, Learning, Technology. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15845-2.
Повний текст джерелаA, Kimble Gregory, and Hammonds Barbara L. 1943-, eds. Psychology and learning. Washington, D.C: American Psychological Association, 1985.
Знайти повний текст джерелаTennant, Mark. Psychology and adult learning. London: Routledge, 1988.
Знайти повний текст джерелаTennant, Mark. Psychology and adult learning. 2nd ed. London: Routledge, 1997.
Знайти повний текст джерелаTennant, Mark. Psychology and adult learning. London: Routledge, 1988.
Знайти повний текст джерелаMercer, Sarah, Stephen Ryan, and Marion Williams, eds. Psychology for Language Learning. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137032829.
Повний текст джерелаMcInerney, D. M. Educational psychology: Constructing learning. 5th ed. Frenchs Forest, N.S.W: Pearson Australia, 2010.
Знайти повний текст джерелаValentina, McInerney, ed. Educational psychology: Constructing learning. 5th ed. Frenchs Forest, N.S.W: Pearson Australia, 2010.
Знайти повний текст джерелаЧастини книг з теми "Learning, Psychology of"
Schacter, Daniel, Daniel Gilbert, Daniel Wegner, and Bruce Hood. "Learning." In Psychology, 226–65. London: Macmillan Education UK, 2016. http://dx.doi.org/10.1007/978-1-137-40673-6_6.
Повний текст джерелаPoling, Alan, Henry Schlinger, Stephen Starin, and Elbert Blakely. "Learning." In Psychology, 127–56. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4615-7694-5_6.
Повний текст джерелаGrocott, Lisa. "Cognitive Psychology." In Design for Transformative Learning, 145–61. London: Routledge, 2022. http://dx.doi.org/10.4324/9780429429743-13.
Повний текст джерелаGrocott, Lisa. "Social Psychology." In Design for Transformative Learning, 129–44. London: Routledge, 2022. http://dx.doi.org/10.4324/9780429429743-12.
Повний текст джерелаDavies, Roger, and Peter Houghton. "Animal learning." In Mastering Psychology, 196–212. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13553-0_12.
Повний текст джерелаLudlow, Amanda, and Roberto Gutierrez. "Social Learning." In Developmental Psychology, 126–38. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32501-3_9.
Повний текст джерелаFontana, David. "Learning." In Psychology for Teachers, 141–83. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-24139-2_7.
Повний текст джерелаFontana, David. "Learning." In Psychology for Teachers, 125–64. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-19213-7_7.
Повний текст джерелаDuplass, James A. "Psychology of Learning." In The Essence of Teaching Social Studies, 38–43. New York, NY : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003095682-6.
Повний текст джерелаXinchun, Wu. "Psychology of Learning." In The ECPH Encyclopedia of Psychology, 1–2. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_1132-1.
Повний текст джерелаТези доповідей конференцій з теми "Learning, Psychology of"
Sampath, Sanish, Duncan Coulter, and Elizabeth Ehlers. "Symbiosis and Psychology Influenced Learning." In Annual International Conference on Computer Games Multimedia and Allied Technologies (CGAT 2017). Global Science & Technology Forum (GSTF), 2017. http://dx.doi.org/10.5176/2251-1679_cgat17.9.
Повний текст джерелаStefanescumihaila, Ramona olivia. "ADVERTISING PSYCHOLOGY VERSUS LIFELONG LEARNING." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-130.
Повний текст джерелаDc, Shubhangi, BasavarajGadgay, Nuzhat Fatima, and M. A. Waheed. "Machine Learning Based Revealing Psychology Destabilization." In 2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS). IEEE, 2022. http://dx.doi.org/10.1109/icetems56252.2022.10093279.
Повний текст джерелаLiu, Hui. "Learning Optimization Algorithm Combined with Psychology." In 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON). IEEE, 2023. http://dx.doi.org/10.1109/indiscon58499.2023.10270588.
Повний текст джерелаBoubert, Laura, and Donna Taylor. "AN INTEGRATED PSYCHOLOGY VIRTUAL RESEARCH ETHICS COMMITTEE." In International Conference on Education and New Learning Technologies. IATED, 2016. http://dx.doi.org/10.21125/edulearn.2016.1731.
Повний текст джерелаMoore, David S., Lisa M. Oakes, Victoria L. Romero, and Koleen C. McCrink. "Leveraging Developmental Psychology to Evaluate Artificial Intelligence." In 2022 IEEE International Conference on Development and Learning (ICDL). IEEE, 2022. http://dx.doi.org/10.1109/icdl53763.2022.9962183.
Повний текст джерелаErova, Dilyara Raisovna, and Ilnur Abdullovich Abdullin. "“Psychology of success” for future engineers." In 2013 International Conference on Interactive Collaborative Learning (ICL). IEEE, 2013. http://dx.doi.org/10.1109/icl.2013.6644554.
Повний текст джерелаSantos, Vanda, Daniela Pedrosa, and Anabela Pereira. "HEALTH PSYCHOLOGY STUDENT’S PERCEPTION OF USING COLLABORATIVE WORK." In 13th International Conference on Education and New Learning Technologies. IATED, 2021. http://dx.doi.org/10.21125/edulearn.2021.1562.
Повний текст джерелаZainuddin, Zahir, and Indah Purwitasari Ihsan. "Modelling of child psychology tests based game learning." In 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE). IEEE, 2013. http://dx.doi.org/10.1109/tale.2013.6654530.
Повний текст джерелаLimniou, Maria, and Rosie Mansfield. "Traditional learning approach versus gamification: an example from psychology." In Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.7912.
Повний текст джерелаЗвіти організацій з теми "Learning, Psychology of"
Näslund-Hadley, Emma. Acceleration of Education and Learning. Inter-American Development Bank, August 2023. http://dx.doi.org/10.18235/0005072.
Повний текст джерелаDinarte, Lelys, Pablo Egaña del Sol, and Claudia Martínez. When Emotion Regulation Matters: The Efficacy of Socio-Emotional Learning to Address School-Based Violence in Central America. Inter-American Development Bank, March 2024. http://dx.doi.org/10.18235/0012854.
Повний текст джерелаKriegel, Francesco. Learning General Concept Inclusions in Probabilistic Description Logics. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.220.
Повний текст джерелаKriegel, Francesco. Learning description logic axioms from discrete probability distributions over description graphs (Extended Version). Technische Universität Dresden, 2018. http://dx.doi.org/10.25368/2022.247.
Повний текст джерелаKoomar, Saalim. What is 'Nudging' and How Does it Change Behaviour in Education? EdTech Hub, January 2024. http://dx.doi.org/10.53832/edtechhub.1011.
Повний текст джерелаRollo, Greta, and Kellie Picker. Unpacking the science of reading research. Australian Council for Educational Research, June 2024. http://dx.doi.org/10.37517/978-1-74286-742-7.
Повний текст джерелаOsadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olha V. Kovalova, Valentyna V. Voloshyna, Oleksii V. Sysoiev, and Mariya P. Shyshkina. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, July 2020. http://dx.doi.org/10.31812/123456789/4633.
Повний текст джерелаBurnett, Cathy. Scoping the field of literacy research: how might a range of research be valuable to primary teachers? Sheffield Hallam University, 2022. http://dx.doi.org/10.7190/shu-working-papers/2201.
Повний текст джерелаCan population registry data predict which children with ADHD are at risk of later substance use disorders? ACAMH, July 2020. http://dx.doi.org/10.13056/acamh.12430.
Повний текст джерела