Relevant bibliographies by topics / Learning and innovations

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Learning and innovations'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Learning and innovations"

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van Acker, Wouter, and Geert Bouckaert. "What makes public sector innovations survive? An exploratory study of the influence of feedback, accountability and learning." International Review of Administrative Sciences 84, no. 2 (2017): 249–68. http://dx.doi.org/10.1177/0020852317700481.

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The question whether public sector innovations last, and what determines their chances of survival, remains a gap in the public management literature. This exploratory study focuses on the winners and nominees of public sector innovation awards in Belgium, France, the Netherlands, Romania, Slovakia and the UK. Through a survey covering 220 cases, it examines whether feedback loops, accountability mechanisms and learning processes (FAL) can explain the survival of public sector innovations. The conclusion is that a culture of feedback, accountability and learning seems to be positively linked w
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Collinson, Vivienne, and Tanya F. Cook. "Organizational Learning: Leading Innovations." International Journal of Educational Leadership and Management 1, no. 1 (2013): 69–98. http://dx.doi.org/10.4471/ijelm.2013.03.

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This article examines the interplay among the environment, learning, leaders, and innovations in school systems.Six conditions that, together, have potential to shape an environment that supports organizational learning are illustrated with data from two leaders of innovation: one in an environment that resisted change; the other in a supportive environment.In one case, the environment limited what a leader of innovation could accomplish.In the other case, a supportive environment allowed the leader to influence widespread change, including a situation where one school’s loss of good principal
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Hubackova, Sarka. "learning innovations." Procedia - Social and Behavioral Sciences 15 (2011): 2232–36. http://dx.doi.org/10.1016/j.sbspro.2011.04.085.

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Gryskiewicz, Stanley, Kathleen Holt, Anne Faber, and Sharon Sensabaugh. "Innovations. Action learning in an innovation intervention." Leadership in Action 5, no. 3 (2007): 8–9. http://dx.doi.org/10.1002/lia.4070050302.

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Kim, Tohyun, and Mooweon Rhee. "Innovating More Each Day and Every Day: A Confucian Learning Approach to Innovation in the Case of Astronomical Innovations in Fifteenth-Century Korea." Korean Academy of Management 31, no. 1 (2023): 103–33. http://dx.doi.org/10.26856/kjom.2023.31.1.103.

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Although the question of whether Confucianism impedes or facilitates innovation has long been debated, the mechanisms through which Confucian values influence innovation have been less frequently examined. Given that many East Asian firms today still operate under the influence of Confucian values, understanding these mechanisms can help them foster innovation more effectively. In this paper, we investigate the astronomical innovations made in fifteenth-century Korea under King Sejong, to understand how Confucian values promoted by the Zhongyong can foster organizational learning and innovatio
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Susanto, Andri Mardi, Nike Norma Epriliyana, and Hanif Hadinata Utama. "Implementation of Learning Innovations in Society 5.0 to Stimulate Creative Thinking Skills at Higher Education." Jurnal Dimensi Pendidikan dan Pembelajaran 12, no. 1 (2024): 25–36. http://dx.doi.org/10.24269/dpp.v12i1.8282.

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The high need for the internet for reference is increasingly changing student learning patterns. In the era of Society 5.0, learning models need innovation to keep up with technological developments. This study aims to describe the influence between Society 5.0 learning innovations on creative thinking skills in higher education. Respondents in this study amounted to 50 students from the Accounting, Management and Economic Education Study Programs who took the Introduction of Management course. The data collection technique used an e-questionnaire. Data analysis using multiple linear regressio
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Abdullayeva, Gulhayat. "DIGITAL LEARNING INNOVATIONS." SCIENTIFIC WORK 18, no. 7 (2024): 44–48. http://dx.doi.org/10.36719/2663-4619/104/44-48.

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Henry, Adam Douglas. "Learning sustainability innovations." Nature Sustainability 1, no. 4 (2018): 164–65. http://dx.doi.org/10.1038/s41893-018-0053-9.

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Hidayah, Nurul, Romelah Romelah, and Hikmatulloh Hikmatulloh. "Islamic Religious Education Learning Innovation Based on Student Centered Learning: A Study on Learning Fiqh Nisa'." Fitrah: Journal of Islamic Education 15, no. 2 (2024): 114–27. https://doi.org/10.53802/fitrah.v15i2.919.

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The challenges of globalization and modernization can blur students' Islamic identity, especially in learning fiqh nisa', due to the influence of outside cultures that are often contrary to Islamic values. Therefore, learning innovations are needed that encourage active student involvement and provide direct experience from the reality of everyday life. Among the forms of learning innovation is combining Student Centered Learning (SCL) and Experiential Learning (EL) in learning fiqh nisa'. This research analyzes the innovation with a focus on the form, contribution, and constraints of innovati
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Daar, Gabriel Fredi. "Indonesian Higher Education of Innovation In Learning English In The Pandemic And New Normal Period." Journal of English Education 6, no. 2 (2021): 115–21. http://dx.doi.org/10.31327/jee.v6i2.1577.

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Innovation of learning activities in universities is a necessity because they are considered as actors of innovation itself. This paper aims to explore higher education innovations in Indonesia during the pandemic and post-pandemic that can be utilized in English learning activities. This research is a literature study by utilizing data obtained from online journals, books, and government regulations as analysis material. Higher education innovations can be seen in the government's new concepts and policies that are relevant to the COVID-19 pandemic. Furthermore, the innovation of learning pla
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Dissertations / Theses on the topic "Learning and innovations"

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Riis, Jonathan. "Learning about innovations: learning styles and characteristics." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-32965.

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Purpose - The purpose of this paper is to explore what people think is the best way to learn about innovations by different learning styles and characteristics. The paper will give answers to which learning style that people think is the best way to use when learning about innovation. Methodology - The data for this study were collected via online-surveys and through paper surveys. A total of 224 usable responses were obtained. The method will consist of primary data, which will be collected through surveys. Secondary research will be presented in the empire which will be retrieved from databa
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Dovgopol, H. A. "Innovations in English language teaching and learning." Thesis, Київський національний університет технологій та дизайну, 2018. https://er.knutd.edu.ua/handle/123456789/10500.

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Balasubramanian, Natarajan. "Essays on learning and innovation." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1432783731&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Ounsley, James, Kevin Laland, and Graeme Ruxton. "Investigating the relationship between social learning efficiency and the diffusion of innovations: Investigating the relationship between social learning efficiency and thediffusion of innovations." Diffusion fundamentals 24 (2015) 37, S. 1, 2015. https://ul.qucosa.de/id/qucosa%3A14554.

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Auerswald, Philip E. "Organizational learning, intrafirm externalities and industry evolution /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/7487.

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Cai, Xiongcai Computer Science &amp Engineering Faculty of Engineering UNSW. "Learning Level Sets and Level Learning Sets: innovations in variational methods for data partitioning." Awarded by:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41532.

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This dissertation proposes a novel theoretical framework for the data partitioning problem in computer vision and machine learning. The framework is based on level set methods that are derived from variational calculus and involve a curve-based objective function which integrates both boundary and region based information in a generic form. The proposed approaches within the framework provide original solutions to two important problems in variational methods, namely parameter tuning and information fusion, collectively termed Learning Level Sets in this thesis. Moreover, a novel pattern class
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Beyerlein, Ranae. "Creating hopeful learning environments collisions in practice /." Diss., Connect to online resource - MSU authorized users, 2008.

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Thesis (Ph. D.)--Michigan State University. Dept. of K-12 Educational Administration, 2008.<br>Title from PDF t.p. (viewed on March 31, 2009) Includes bibliographical references (p. 273-285). Also issued in print.
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Yang, Hongyan. "The relevant knowledge pool : learning from what others have learned from you /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/8757.

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Theodorakopoulou, Irini. "National innovation systems as analytical frameworks for knowledge transfer and learning in plant biotechnology : a comparative study /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9946303.

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Baldwin, Beth Williams. "Conversations computer mediated dialogue, multilogue, and learning /." Access online version, 1996. http://wac.colostate.edu/rhetnet/baldwin.htm.

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Books on the topic "Learning and innovations"

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Holmes, Dawn E., and Lakhmi C. Jain, eds. Innovations in Machine Learning. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33486-6.

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Holmes, Dawn, and Lakhmi Jain, eds. Innovations in Machine Learning. Springer-Verlag, 2006. http://dx.doi.org/10.1007/10985687.

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Popescu, Elvira, Kinshuk, Mohamed Koutheair Khribi, et al., eds. Innovations in Smart Learning. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2419-1.

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Taplin, Sue. Innovations in Practice Learning. Routledge, 2025. https://doi.org/10.4324/9781041055846.

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J, Hall Andrew, Great Britain. Dept. for International Development. Crop Post-Harvest Programme. South Asia., International Crops Research Institute for the Semi-arid Tropics., and National Centre for Agricultural Economics and Policy Research (India), eds. Innovations in innovation: Reflections on partnership, institutions, and learning. CPHP South Asia, 2004.

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1950-, Martin Paul, and Segal Rachel, eds. Learning from innovations: Reflections on the Innovations initiative. Open University, 2004.

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Idrees, Sheikh Mohammad, Roshan Jameel, and Mariusz Nowostawski, eds. Blockchain and Machine Learning Innovations. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88095-7.

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Centre for Educational Research and Innovation and Instituto de Desarrollo Regional (Andalusia, Spain), eds. Learning to innovate: Learning regions. Anfora, Grupo de Marketing y Comunicación, 2001.

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J, Hall A., Great Britain. Dept. for International Development. Crop Post-Harvest Programme. South Asia., and Natural Resources International Limited, eds. Post-harvest innovations in innovation: Reflections on partnership and learning. Crop Post Harvest Progamme, South Asia, 2003.

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Jones, William G. Issues and innovations in distance learning. Association of Research Libraries, Office of Leadership and Management Services, 1998.

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Book chapters on the topic "Learning and innovations"

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Kanagachidambaresan, G. R., and N. Bharathi. "Reinforcement Learning." In Maker Innovations Series. Apress, 2024. https://doi.org/10.1007/979-8-8688-0530-1_5.

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Salerno, Simone. "Tiny Machine Learning." In Maker Innovations Series. Apress, 2025. https://doi.org/10.1007/979-8-8688-1294-1_1.

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Migliaccio, Alessandro, Giovanni Iannone, and Mark Sage. "Learning from Experience." In Maker Innovations Series. Apress, 2025. https://doi.org/10.1007/979-8-8688-1172-2_7.

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Kowch, Eugene. "Leading Transformation with Digital Innovations in Schools and Universities: Beyond Adoption." In Digital Transformation of Learning Organizations. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55878-9_9.

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AbstractDigital innovations in schools and universities matter. New leadership approaches and new organization knowledge are necessary for leaders to realize long-term school and university transformations afforded by important digital innovation experiments. This chapter takes a hard look at leadership and organization theory and practice, along with a critical look at innovation adoption to help digital school and university innovation teams find more sustainable, impactful innovations. First, we examine research and theory on formal leadership and organization to argue that classical, forma
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Catts, Ralph, Ian Falk, and Ruth Wallace. "Introduction: Innovations in Theory and Practice." In Vocational Learning. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1539-4_1.

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Kanagachidambaresan, G. R., and N. Bharathi. "Introduction to Learning Algorithms." In Maker Innovations Series. Apress, 2024. https://doi.org/10.1007/979-8-8688-0530-1_1.

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Simonova, Ivana, and Petra Poulova. "Innovations in Enterprise Informatics Subjects." In Interactive Collaborative Learning. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50337-0_56.

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Kanagachidambaresan, G. R., and N. Bharathi. "Python Packages for Learning Algorithms." In Maker Innovations Series. Apress, 2024. https://doi.org/10.1007/979-8-8688-0530-1_2.

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Miglino, Enrico. "Machine Learning with a Drone." In Maker Innovations Series. Apress, 2024. https://doi.org/10.1007/979-8-8688-0080-1_4.

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Póczos, Barnabás, Bálint Takács, and András Lőrincz. "Independent Subspace Analysis on Innovations." In Machine Learning: ECML 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564096_71.

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Conference papers on the topic "Learning and innovations"

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Sangeetha, M., F. Mary Harin Fernandez, A. Ganesh Ramachandran, S. K. Saravanan, and M. Bhanumathi. "Algorithmic Innovations in Machine Learning for Drug Discovery and Pharmaceutical Innovations." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545218.

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Kapalia, Megha, Amapreet Kaur, and Neha Sharma. "Harnessing Deep Learning: Innovations and Practical Applications." In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON). IEEE, 2024. https://doi.org/10.1109/delcon64804.2024.10866474.

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Demas, Jeffrey, Mathilde Hary, Goëry Genty, and Siddharth Ramachandran. "Machine-Learning-Optimized OAM Excitation in Optical Fibers." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sm2e.7.

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We develop a machine learning algorithm for in situ control and optimization of OAM excitation in optical fibers, ensuring high-purity and low-loss coupling. The algorithm can correct intentional misalignments, as well as compensate alignment drift.
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Hernandez, Andres Correa, and Claire F. Gmachl. "Machine Learning for Quantum Cascade Laser Design and Optimization." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sw3h.3.

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A machine learning framework is used to predict the laser performance of 109 quantum cascade laser designs in 8 hours. The algorithm demonstrates how to optimize the layer structure, yielding a 2-fold increase in performance.
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Grova, Carmelo, Charles S. Bevis, Nicola Giani, Daniel E. Adams, Giulia F. Mancini, and Giovanni Pellegrini. "Towards Real-Time Ultrafast Ptychography with Unsupervised Deep Learning." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sm2h.3.

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We couple an untrained neural network to a complete physical model that describes Ptychography-like image formation process. We demonstrate robustness, high fidelity, full-field image reconstruction and fast convergence with smart weight initialization.
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Chen, Siyun, Dan Wang, Qiang Du, et al. "Deep Learning for Modeling Dynamic Gain and Nonlinearities in Ultrafast Fiber Amplifiers." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sth3j.3.

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We introduce a deep-learning method for modeling dynamic gain and nonlinearities in ultrafast fiber a mplifiers, overcoming limitations of physics-based models. Trained and tested with experiments, the algorithm can predict accurately, adaptable to varying amplifier conditions.
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Stein, Martin M., Tatsuhiro Onodera, Benjamin A. Ash, et al. "A Fully Programmable On-Chip Planar Waveguide for Machine Learning." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sf2m.1.

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Muizniece, Katrina, Jovita Pilecka-Ulcugaceva, Kristaps Siltumens, Dace Butenaite, and Inga Grinfelde. "THE TRANSFORMATION OF EDUCATIONAL MODELS AS THE KEY FACTOR OF ECO-INNOVATIONS." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s22.92.

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Eco-innovation is a crucial factor in the drive towards sustainable development, albeit a knowledge-intensive process that requires a fundamental transformation of the education system. The focus should be on sustainable education, characterized by holistic approaches, strategic planning and transformative change. Key elements are learning experience systems that include cognitive understanding, practical skills, social cohesion and emotional intelligence. As UNESCO points out, eight key competences - systemic thinking, forecasting, regulatory and strategic approaches, cooperation, critical th
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Wang, Qingyang. "Advancements in Gesture Recognition: From Traditional Machine Learning to Deep Learning Innovations." In International Conference on Modern Logistics and Supply Chain Management. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013332100004558.

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Guardalben, M. J., J. Wang, A. Mathur, R. Yadav, and L. N. Goduguluri. "Prediction of Laser Beam Spatial Profiles in a Multipass, High-Energy Laser Facility Using Deep Learning." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sth4i.4.

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Deep-learning models based on the U-Net architecture have been characterized for accuracy and speed to support real-time laser performance prediction in multipass, high-energy laser facilities, providing a prediction time of 1.3 ms.
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Reports on the topic "Learning and innovations"

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Sarvi, Jouko, and Hitendra Pillay. Innovations in Knowledge and Learning:. Asian Development Bank, 2017. http://dx.doi.org/10.22617/tcs179037-2.

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Leong, Yew Hoong, Eng Guan Tay, Khiok Seng Quek, Sook Fwe Yap, and Karen Wei Yeng Toh. NA: Improvement of Learning, Innovations in Teaching (NA:ILIT). National Institute of Education, Nanyang Technological University, Singapore, 2024. https://doi.org/10.32658/10497/27390.

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Although there is an acknowledged need to attend to the learning needs of low achievers in mathematics, there is relatively scant research in this area locally. This proposed project aims to contribute to this sub-field within mathematics education. In particular, this study will focus on helping Normal Academic (NA) students make improvements in their learning of Mathematics.
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Voutilainen, M. Mariah, and Crystal Green. Spotlight on Child-Centred Learning. HundrED, 2025. https://doi.org/10.58261/ibtc3632.

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This Spotlight highlights fourteen education innovations that champion Child-Centred Learning. Solutions selected to the Spotlight innovatively interpret the five main Montessori principles, which play a crucial role in overcoming barriers and expanding the scope of child-centred practices. The report addresses the distinction between child-centred schooling and child-centred learning, emphasising the importance of the relationship between learner and educator while acknowledging the fluidity of their roles in a truly learner-centred environment. The selected innovations focus on learners and
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Petrie, Christopher, Katija Aladin, and Ryan Rydzewski. Learning Forerunners Across America. HundrED, 2020. http://dx.doi.org/10.58261/dkxx4294.

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In partnership with Remake Learning and The Grable Foundation, this Learning Forerunners Across America report identifies and highlights 16 innovations that power the most promising learning ecosystems throughout the United States. This release coincides with the national launch of Remake Learning Days Across America in 16 cities, a yearlong festival kicks off on October 13, 2020. The innovations presented here focus on big-picture, system-level, impactful solutions at scale that are operating across multiple schools and/or institutions. You’ll see there are many inspiring examples: from conne
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Noakes, Sierra, Alison Shell, Parker Van Nostrand, Alexis M. Murillo, Pati Ruiz, and Babe Liberman. AI-Powered Innovations in Mathematics Teaching & Learning: Initial Findings. Digital Promise, 2024. http://dx.doi.org/10.51388/20.500.12265/229.

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This report discusses findings based on responses to a request for information (RFI) led by the Bill &amp; Melinda Gates Foundation and Digital Promise, which received nearly 200 responses that described a variety of innovative approaches to leveraging artificial intelligence (AI) for mathematics teaching and learning. As AI becomes increasingly prevalent in education, three key questions often drive conversations around this emerging technology: What does AI in education look like today; what are the risks to leveraging AI in education and how might those risks be mitigated; and, what should
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Caeiro, Rute Martins. From Learning to Doing: Diffusion of Agricultural Innovations in Guinea-Bissau. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26065.

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Aston, Tom, and Alix Wadeson. Process Tracing Innovations in Practice: Finding the Middle Path. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/ids.2023.012.

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Evaluation practitioners in the international development sector have given considerable attention in recent years to process tracing as a method for evaluating impact, including discussion of how to assess the relative importance of causal factors. Despite the increasing interest, there is a relative dearth of examples of practical learning and evidence of applying process tracing in practice. This CDI Practice Paper draws on comparative learning from applying three different types of process tracing in international development initiatives. It argues in favour of a ‘middle path’ of applying
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Browne, Daniel. Scaling Up, Staying True: A Wallace Conference Report on Spreading Innovations in Expanded Learning. The Wallace Foundation, 2014. http://dx.doi.org/10.59656/yd-g3588.001.

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Green, Crystal, Clara Garcia-Millan, and Alicia Lucendo-Noriega. Formative Assessment: Improving Learning for Every Child. HundrED, 2022. http://dx.doi.org/10.58261/qfyv1635.

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Formative assessment is a powerful way to enhance student learning. All types of assessments form important aspects of the learning process. However, formative assessment provides a particular way of evaluating student learning as part of the learning process. The aim of formative assessment is to evaluate students’ learning in a way that promotes the developmental aspects of learning and teaching. In this report we take a look at the research behind formative assessment and highlight 14 innovations working to promote it globally.
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Guerrero, Isabel, and Johanan Rivera. Scaling, Innovations in Development: The Experience of IDB Lab. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004847.

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The approach to scaling up innovations in development is broken due to insufficient skills and funding for intermediation. Intermediation involves the essential technical assistance required by organizations and projects to achieve scale, such as strategic planning, convening, and coordinating stakeholders, and investment packaging. This report derives lessons on how to effectively scale innovations in development through an analysis of 39 IDB Lab projects and approximately 100 interviews. It proposes adhering to four principles for enhancement: establishing a consistent and systematic definit
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