Relevant bibliographies by topics / Pre-Learning stress

Contents

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

Academic literature on the topic 'Pre-Learning stress'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Pre-Learning stress"

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Ramalakshmi, K., and Ms M. Poojitha. "Predicting Employees Under Stress for Pre-emptive Remediation Using Machine Learning Algorithms." International Journal of Research Publication and Reviews 6, no. 5 (2025): 11705–8. https://doi.org/10.55248/gengpi.6.0525.18117.

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Zoladz, Phillip R., Chloe N. Cordes, Jordan N. Weiser, et al. "Pre-Learning Stress That Is Temporally Removed from Acquisition Impairs Fear Learning." Biology 12, no. 6 (2023): 775. http://dx.doi.org/10.3390/biology12060775.

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Few studies have examined the time-dependent effects of stress on fear learning. Previously, we found that stress immediately before fear conditioning enhanced fear learning. Here, we aimed to extend these findings by assessing the effects of stress 30 min prior to fear conditioning on fear learning and fear generalization. Two hundred and twenty-one healthy adults underwent stress (socially evaluated cold pressor test) or a control manipulation 30 min before completing differential fear conditioning in a fear-potentiated startle paradigm. One visual stimulus (CS+), but not another (CS−), was
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Zoladz, Phillip R., Alison M. Dailey, Hannah E. Nagle, et al. "FKBP5polymorphisms influence pre-learning stress-induced alterations of learning and memory." European Journal of Neuroscience 45, no. 5 (2017): 648–59. http://dx.doi.org/10.1111/ejn.13514.

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Lin, Mingming, and Yoshihiko Tanno. "The Influence of Stress on Human Memory: Differences among Subjected Timing of Acute Stress." International Journal of Psychological Studies 8, no. 3 (2016): 65. http://dx.doi.org/10.5539/ijps.v8n3p65.

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<p>In this study, we compared the differences in influence of three stress subjection timings on memory using words stimuli with three valences, positive, negative, and neutral. Sixty-three participants were divided into four conditions, pre-learning stress, on-learning stress, post-learning stress, and control condition. Participants in stress conditions were exposed to acute white noise stress. The results showed differences in the delayed recall memory performances among the three stress timing conditions, and definite valence influences. Compared to the non-stressed condition, impair
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Omar, Al Shorman, and Al Shorman Ahmad. "Frontal lobe and long-term memory retrieval analysis during pre-learning stress using EEG signals." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 141–45. https://doi.org/10.11591/eei.v9i1.1335.

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This paper uses the EEG analysis to investigate the relationship between pre-learning stress, frontal lobe and long-term memory in the brain. The stress on learning stage is a challenge, especially in academic life. Stress also on learning stage affects the retrieval or recall from the memory. Nowadays; there are many recent works have discovered the relationship between stress, learning and memory performance based on different techniques. Some of these techniques are biological methods. Moreover, these methods have discovered the effect of stress based on hormones levels such as cortisol, or
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Lommen, Miriam J. J., Iris M. Engelhard, Marit Sijbrandij, Marcel A. van den Hout, and Dirk Hermans. "Pre-trauma individual differences in extinction learning predict posttraumatic stress." Behaviour Research and Therapy 51, no. 2 (2013): 63–67. http://dx.doi.org/10.1016/j.brat.2012.11.004.

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Meyer, Heidi C., Danielle M. Gerhard, Paia A. Amelio, and Francis S. Lee. "Pre-adolescent stress disrupts adult, but not adolescent, safety learning." Behavioural Brain Research 400 (February 2021): 113005. http://dx.doi.org/10.1016/j.bbr.2020.113005.

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AlShorman, Omar Mahmoud, and Ahmad M. Alshorman. "Frontal lobe and long-term memory retrieval analysis during pre-learning stress using EEG signals." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 141–45. http://dx.doi.org/10.11591/eei.v9i1.1335.

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This paper uses the EEG analysis to investigate the relationship between pre-learning stress, frontal lope and long-term memory in the brain. The stress on learning stage is a challenge, especially in academic life. Stress also on learning stage affects the retrieval or recall from the memory. Nowadays; there are many recent works have discovered the relationship between stress, learning and memory performance based on different techniques. Some of these techniques are biological methods. Moreover, these methods have discovered the effect of stress based on hormones levels such as cortisol, or
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Padli, Padli, Yanuar Kiram, Irfan Arifianto, Anton Komaini, Yogi Setiawan, and Martio Mairifendi. "The effect of academic stress and learning motivation of pre-service teachers in aerobics." Cypriot Journal of Educational Sciences 17, no. 4 (2022): 1066–76. http://dx.doi.org/10.18844/cjes.v17i4.7119.

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The purpose of this study was to determine how much influence academic stress had on pre-service teachers’ learning motivation. Mixed methods with a sequential explanatory design were the methods used in the study, while the sample used in this study amounted to 155 pre-service teachers obtained using random sampling from the Department of Sports Coaching Education in 2019-2020 from Padang State University. The instruments in this study include a pre-service teacher motivation questionnaire and academic stress observation sheets and semi-open interviews. The data analysis used was descriptive
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Zaenal Anwar, Muhammad, and Sri Wahyuningsih. "Photovoice in the EFL classroom: Academic stress coping among Indonesian Pre-Service English teachers during online learning." ELT-Lectura 11, no. 1 (2024): 61–72. http://dx.doi.org/10.31849/elt-lectura.v11i1.18811.

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The pandemic impacted people's lives worldwide, affecting the functioning of several sectors, especially in the education sector. The impact of the pandemic has resulted in teachers and students having to work faster and maximize learning from face-to-face to online learning. The impact is that some students or teachers experience difficulties and stress in online learning. This stress is a person's thoughts that were originally (positive) to be irrational/negative. The purpose of this study is to describe experiences dealing with academic stress among pre-service English teachers in Indonesia
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Dissertations / Theses on the topic "Pre-Learning stress"

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CHEN, JUNG HUI, and 陳蓉慧. "The Effects of Mindfulness-based Stress Reduction Self-learning Experiences on Emotion Regulation and Stress Adjustment among Three Pre-school Teachers." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/b98377.

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碩士<br>玄奘大學<br>應用心理學系碩士在職專班<br>106<br>The purpose of this study is to explore the self-learning experiences of three pre-school teachers who participated in this mindfulness-based stress reduction (MBSR) self-learning study. The researcher aimed to analyze the effects of MBSR self-learning on the abilities of emotion regulation and stress management. The researcher used qualitative analysis of individual interviews with each of the participant and the participants’ homework assignments. The findings are as follows. First, mindfulness practice can enhance the abilities of emotional regulation, a
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Stasko, Carly. "A Pedagogy of Holistic Media Literacy: Reflections on Culture Jamming as Transformative Learning and Healing." Thesis, 2009. http://hdl.handle.net/1807/18109.

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This qualitative study uses narrative inquiry (Connelly & Clandinin, 1988, 1990, 2001) and self-study to investigate ways to further understand and facilitate the integration of holistic philosophies of education with media literacy pedagogies. As founder and director of the Youth Media Literacy Project and a self-titled Imagitator (one who agitates imagination), I have spent over 10 years teaching media literacy in various high schools, universities, and community centres across North America. This study will focus on my own personal practical knowledge (Connelly & Clandinin, 1982) as a cult
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Books on the topic "Pre-Learning stress"

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Einstein, Andrew J. Radiation Considerations. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0034.

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Radiation considerations are an integral part of the practice of nuclear cardiac imaging. Concern regarding radiation has increased in recent years, reflected in statements by many professional societies, and likely attributable both to rapid growth in use of nuclear cardiology as well as high doses received by some nuclear cardiology patients. The fundamental principles of medical radiological protection are justification (ensuring that the right test is performed for the right patient at the right time), optimization (ensuring that the test is performed in the right manner), and dose limitat
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Colvin, Molly, Jennifer Linton Reesman, and Tannahill Glen. Neurodevelopment in the Post-Pandemic World. Oxford University PressNew York, NY, 2024. http://dx.doi.org/10.1093/9780197762660.001.0001.

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Abstract The COVID-19 pandemic caused worldwide and sustained educational and psychosocial disruption for children and adolescents. Schools, when they were able to remain open, quickly shifted to adopt untested virtual instruction methods. Youth were exposed to increased stress at home, including adverse childhood experiences, and mental health conditions increased. Young children who needed support for developmental disabilities and learning delays missed critical interventions and/or entered school later. Older adolescents were lost entirely from the educational system. The significant devel
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Book chapters on the topic "Pre-Learning stress"

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AlShorman, Omar, Tariq Ali, and Muhammad Irfan. "EEG Analysis for Pre-learning Stress in the Brain." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6502-6_39.

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Aschi, Massimiliano, Susanna Bonura, Nicola Masi, Domenico Messina, and Davide Profeta. "Cybersecurity and Fraud Detection in Financial Transactions." In Big Data and Artificial Intelligence in Digital Finance. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94590-9_15.

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AbstractFrauds in financial services are an ever-increasing phenomenon, and cybercrime generates multimillion revenues, therefore even a small improvement in fraud detection rates would generate significant savings. This chapter arises from the need to overcome the limitations of the rule-based systems to block potentially fraudulent transactions. After mentioning the limitations of rule-based approach, this chapter explains how machine learning is able to address many of these limitations and, more effectively, identify risky transactions. A novel AI-based fraud detection system – built over
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Naumenko, Maksym, Iryna Hrashchenko, Tetiana Tsalko, Svitlana Nevmerzhytska, Svitlana Krasniuk, and Yurii Kulynych. "Innovative technological modes of data mining and modelling for adaptive project management of food industry competitive enterprises in crisis conditions." In PROJECT MANAGEMENT: INDUSTRY SPECIFICS. TECHNOLOGY CENTER PC, 2024. https://doi.org/10.15587/978-617-8360-03-0.ch2.

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Developed in this research scientific and practical applied project solutions regarding Data Mining for enterprises and companies (on the example of food industry) involve the application of advanced cybernetic computing methods/algorithms, technological modes and scenarios (for integration, pre-processing, machine learning, testing and in-depth comprehensive interpretation of the results) of analysis and analytics of large structured and semi-structured data sets for training high-quality descriptive, predictive and even prescriptive models. The proposed by authors multi-mode adaptive Data Mi
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Baran, Katarzyna. "Fuzzy Ensemble Learning and Lightweight CNN for Stress Classification." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia241072.

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Everyday life problems, armed conflicts, pandemics, and catastrophes – these are situations that are always accompanied by stress. Its chronic form can lead to so-called stress-related illnesses. Despite the development of health prevention, many people still get sick due to stress. Therefore, it is important to seek detective and classificatory solutions for stress, which may influence its reduction or control in the future. The example of this can be the thermographic stress registration presented in this article, combined with classification using lightweight CNN and Choquet fuzzy ensemble
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Heltzel, Lisa, and Judith R. Homberg. "Animal models of post-traumatic stress disorder." In Genes, brain, and emotions. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198793014.003.0022.

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Fear learning and memory allows organisms to respond adaptively to cues and contexts that are associated with danger upon a future encounter. Sometimes fear responses go awry, leading to an intrusive fear memory failing to extinguish, eliciting an intense, distressing, and persisting response. These are core symptoms of post-traumatic stress disorder (PTSD). There are substantial individual differences in fear learning and memory, such that some are resilient and other are vulnerable to PTSD. In this chapter we set-out the methods to measure fear learning and memory in rodents, discuss their t
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Pham, Nhung, Thuong Nguyen, Thinh Tran, Trung T. Nguyen, Huong Ha, and Binh T. Nguyen. "SEED: A Framework for Stress Estimation Using Emotiv Devices." In Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques. IOS Press, 2020. http://dx.doi.org/10.3233/faia200588.

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Nowadays, industrialization and urbanization have led to increasing stress levels in many countries. Primarily, it starts having an impact on vulnerable populations, e.g., college students and physicians. While previous works have reported an alarmingly high rate of stress in students, little is known about whether there are stress-related brain activity changes. This study aims to examine the effects of a realistic stressor (examination) on students’ stress levels and brain activities. We selected a cohort of 16 college students to participate in this study. Each subject was invited to the la
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Selvaraj, Santhi, and S. Selva Nidhyananthan. "Predicting Depression From Social Media Users by Using Lexicons and Machine Learning Algorithms." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8531-6.ch012.

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Depression is one of the most common health issues among individuals. The rate of psychotic treatments is increasing day by day. Depression is created in many ways among the people, especially through work stress, financial burden, unemployment among the adults. Today, the emergence of social media into people's lives makes them expose their feelings and emotions on the social media platforms. The aim of this work is to predict the depressive features from social media users' comments by using machine learning techniques. Multinomial naïve bayes, non-linear support vector machine, and artifici
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Pant, Neha, Belinda Arana, and Patricia Martínez-Álvarez. "Equity in Education Through Culturally Responsive Teaching." In Supporting Cultural Differences Through Literacy Education. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9271-3.ch003.

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When emergent bilinguals (EBs) attend school, they often face curricula that fail to reflect their cultural knowledge and practices. In the U.S., about 10% of EBs, labeled as English language learners, are also identified as having disabilities, typically in areas like speech and language impairment (SLI) or specific learning disabilities (SLD), which relate to culture and language learning. Researchers stress collaboration between general and special education teachers to address the needs of EBs with disabilities. This chapter, guided by expansive learning and the collective Zone of Proximal
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Allee, Karyn A., and Annemarie Bazzo Kaczmarczyk. "Leveraging Literacy Instruction to Support Learners Who Have Experienced Compounded Trauma." In Advances in Early Childhood and K-12 Education. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-5713-9.ch006.

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Children can experience trauma in multiple ways and spaces which can have profound effects on their development and impact student engagement, approaches to learning, and student outcomes. In this chapter, the authors break down various types of trauma, adversity, and stress that can contribute to delays in children's development. Schools can impact children's pre-existing trauma (or cause new trauma), even unintentionally, and children's classroom behaviors can signal that trauma may be affecting them. Teachers can use instructional strategies that both buffer students to potentially mitigate
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Jayaraman, Dr Vishwanathan. "PEDAGOGY BEFORE TECHNOLOGY – 3S MODEL FOR EDUCATION." In Futuristic Trends in Social Sciences Volume 2 Book 2. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2s2ch25.

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When it comes to teaching 21st C children, the teaching framework based on the theoretical edifices of Freudianism and Behaviorism does not work anymore. Teachers and educators are increasingly finding it challenging to engage students in the classroom. In our study, we got to explore important understandings and concepts about the brain and educational neuroscience findings. We could identify some of the most widely accepted neuromyths within the teaching community and debunk false theories that ruled for over decades. Neuroscience is often considered complex and challenging for most teachers
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Conference papers on the topic "Pre-Learning stress"

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Bulao, Suwanna, and Siranee Nuchitprasitchai. "Clustering of Pre-Service Teachers by Stress Levels Using Machine Learning Techniques." In 2024 8th International Conference on Information Technology (InCIT). IEEE, 2024. https://doi.org/10.1109/incit63192.2024.10810542.

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Olsen, Jim Stian, Bård Nyhus, Vigdis Olden, and Roy Johnsen. "Hydrogen Induced Stress Cracking of Ni-Alloy 625 (UNS N06625)." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16616.

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ABSTRACT Limited evidence has been published which indicate that UNS N06625 (Alloy 625) is susceptible to hydrogen embrittlement. In this study we present new industry learning about how the performance of Alloy 625 is affected by hydrogen. Three different Ni-alloy 625 batches from different suppliers, have been examined to evaluate the susceptibility to hydrogen induced stress cracking, and to evaluate if inherent differences have an impact on the material behavior in a hydrogen environment. A rigorous test program was established which included metallurgical and mechanical characterization,
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Kalakan, Kongkan, and Chidchanok Lursinsap. "Stream Image Classification Using Class-wise Incremental Learning and Pre-trained Convolution Neural Network." In 2024 28th International Computer Science and Engineering Conference (ICSEC). IEEE, 2024. https://doi.org/10.1109/icsec62781.2024.10770709.

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Braniff, Austin, Fengqi You, and Yuhe Tian. "Enhanced Reinforcement Learning-driven Process Design via Quantum Machine Learning." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.149501.

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In this work, we introduce a quantum-enhanced reinforcement learning (RL) framework for process design synthesis. RL-driven methods for generating process designs have gained momentum due to their ability to intelligently identify optimal configurations without requiring pre-defined superstructures or flowsheet configurations. This eliminates reliance on prior expert knowledge, offering a comprehensive and robust design strategy. However, navigating the vast combinatorial design space poses computational challenges. To address this, a novel approach integrating RL with quantum machine learning
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Garlapati, Anusha, Doredla Radha Krishna, Kavya Garlapati, and Gayathri Narayanan. "Predicting Employees under Stress for Pre-emptive Remediation using Machine learning Algorithm." In 2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). IEEE, 2020. http://dx.doi.org/10.1109/rteict49044.2020.9315726.

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Valença, Jónatas, André Araújo, and Eduardo Júlio. "Measure the Application of Pre-Stressed CFRP Laminates Using Deep Learning for Computer Vision." In IABSE Congress, Nanjing 2022: Bridges and Structures: Connection, Integration and Harmonisation. International Association for Bridge and Structural Engineering (IABSE), 2022. http://dx.doi.org/10.2749/nanjing.2022.1412.

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&lt;p&gt;Strengthening of reinforced concrete (RC) structures with pre-stressed Carbon Fiber Reinforced Polymer (CFRP) laminates is a well-known application. The development of vision-based approaches for monitoring the strain imposed during the pre-stress application, with the required precision and accuracy, represents an important contribution for the state of the art. A new system, named Strain- Vision, was design and developed tacking into account three main modules: (i) development of a customized high precision strain monitoring CFRP laminates (hpsm-CFRP); (ii) definition of a set-up fo
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Edensor Costille, Kizzi. "Enhancing lexical stress accuracy in L2 Learners: A pilot study using 3D spectrogram visualization in computer-assisted language learning (CALL)." In EuroCALL 2024: CALL for humanity. Universitat Politècnica de València, 2024. https://doi.org/10.4995/eurocall2024.2024.19083.

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This research tackles the ongoing challenge of perceiving and producing prosody, which is vital for the intelligibility of non-native speech. While visual aids are known to enhance speech production, there are few accessible computer-assisted language learning tools. The study introduces Englishville, a 3D spectrogram tool designed to improve lexical stress in non-native English. Six French learners participated in this pilot study. The study had three phases: a pre-test with 30 words recorded, a 10-week training session and a post-test with 60 words (including 30 from the pre-test). The study
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Okazaki, Yuko, Yoshitomo Sakuma, Takumi Kobayashi, Chika Sugimoto, and Ryuji Kohno. "Stress and Comfort Estimation of Patients Listening a Music while Rehabilitation Training by Machine Learning with Pre-processed Electrocardiogram." In 2021 15th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2021. http://dx.doi.org/10.1109/ismict51748.2021.9434921.

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LANGE, ALEXANDER, MAX KÄDING, ROGHUA XU, STEFFEN MARX, and JÖRN OSTERMANN. "SEMI-SUPERVISED LEARNING FOR ACOUSTIC VISION MONITORING OF TENDONS IN PRE-STRESSED CONCRETE BRIDGES." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36855.

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Aging bridge infrastructure appears to become a major challenge in many industrialized countries. Numerous bridges are in bad condition and the current pace of repair and replacement as well as the available financial resources hence demand for a reliable bridge monitoring to facilitate an extended operation period of existing bridges. Nowadays, prestressed concrete bridges are prevalent among other construction types but may suffer from stress corrosion cracking of steel tendons. To detect wire breaks in bridge tendons, recent research suggests the use of acoustic emission analysis. In this w
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Ferreira, F. H., A. M. Borba, P. F. V. Garcia, E. S. R. Santos, and F. O. L. Falcão. "Predicting Strength Properties Applying Machine Learning Techniques for Highly Heterogeneous Microbial Limestones from Brazilian Pre-Salt Reservoirs." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-1066.

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ABSTRACT: Comprehensive knowledge of rock strength and deformability properties holds paramount importance in the E&amp;P activities. This understanding proves critical across a spectrum of designs such as wellbore stability, sanding production, compaction, subsidence, as well as facilitating intricate 3D Geomechanical modeling, and more. This study presents a comprehensive compilation of 525 triaxial and uniaxial tests conducted on samples extracted from a highly heterogeneous limestone formation from the Brazilian pre-salt region over the course of the last 12 years. By incorporating both tr
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Reports on the topic "Pre-Learning stress"

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Semiga, Vlad. PR-214-174517-WEB Sleeve End Fillet Weld Stress Intensity Factor Solutions. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011612.

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Presented Thursday, September 5, 2019 PRESENTER: Vlad Semiga HOST: Rober Lazor, TC Energy MODERATOR: Thomas Marlow, PRCI Expected Benefits/Learning Outcomes: - Attendees will be given an overview of the sleeve end fillet weld stress intensity factors (SIFs) software, which provides a simplified means of estimating the SIFs for a single scenario or for an unlimited number of scenarios defined using a standard batch file format; - the presentation will also include the results of a sensitivity study illustrating the general trends in terms of the SIFs versus the range of inputs used to define an
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Thy, Savrin, Tong Ly, and Sokunthy Ean. Cambodian Upper Secondary School Education amid COVID-19 Pandemic: Challenges and Opportunities. Cambodia Development Resource Institute, 2023. https://doi.org/10.64202/wp.137.202305.

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The outbreak of Coronavirus Disease 2019 (COVID-19) was announced as a pandemic by the World Health Organization (WHO) on 11 March 2020. Its presence has created significant disturbances across society and particularly within education. On 16 March 2020, as a preventative measure against the spread of COVID-19, the Royal Government of Cambodia (RGC) decided to close all educational institutions. However, in an effort to continue providing education services to students, the Ministry of Education, Youth and Sport (MoEYS) alongside relevant stakeholders made significant efforts to adopt distance
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Ng, Ee Lynn. Work-related stress in pre-school teachers and methods of assessing stress: A literature review. National Institute of Education, Nanyang Technological University, Singapore, 2020. https://doi.org/10.32658/10497/22754.

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This study aims to gather information that will contribute to the development of future studies aimed at investigating the impact of preschool teachers’ work-related stress on children’s learning in Singapore. To this end, the study has two objectives: to identify sources of work-related stress that are relevant to preschool teachers in Singapore and to identify measures that could be used to measure teacher stress in the local context.
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