Learning Process Research Articles

An Intelligent Framework for English Teaching through Deep Learning and Reinforcement Learning with Interactive Mobile Technology

As globalization deepens, the significance of English teaching in the educational landscape has become more prominent. Traditional teaching methods are increasingly inadequate for providing personalized and efficient learning experiences. This gap is being addressed by the rapid advancements in artificial intelligence, especially through deep and reinforcement learning. These technologies provide a framework for intelligent English teaching systems by mimicking human learning processes to customize personalized learning experiences, optimize learning paths, and enhance efficiency. However, challenges remain in fine-tuning teaching strategies to meet the varying needs of individual learners and dynamically adapting to their evolving interests in the short term. This study introduces a novel framework for an intelligent English teaching system that leverages the potential of interactive mobile technology alongside a deep Q-network (DQN) algorithm to dynamically adjust English teaching strategies. This approach enables real-time personalization of teaching strategies to create optimal learning paths for individual learners. Moreover, it incorporates a model based on neural collaborative filtering to capture and adapt to learners’ short-term dynamic interests, thereby recommending relevant learning content in real-time. This framework enhances learning efficiency and personalizes content delivery, demonstrating considerable theoretical and practical value for the future of educational technology.

Problematics of Arabic Learning through e-Learning and Its Solution at Senior High School

The objectives of this study are: 1. To explain the problems of learning Arabic through E-learning for class XI IPA at MAN 1 Sragen, Central Java, Academic Year: 1441-1442 H, 2. To explain about solving these problems. This type of research is a qualitative descriptive study. In collecting the data, the researcher used three methods, namely: the interview method, the observation method, and the documentation method. Researchers used Miles and Huberman's analysis with three steps: data collection, data presentation, and conclusion. The results of the data analysis stated that: 1) Arabic learning problems through E-learning for class XI IPA consists of several aspects: a) Problems in terms of teachers: The teacher leaves several steps contained in the language learning method Arabic through E-learning, b) Problems in terms of students: Lack of student interest in learning Arabic through E-learning, c) Problems in terms of E-learning media include: E-learning media is a learning application that requires supporting tools, such as Android, Computers, and Internet Signals, 2) Problem-solving in the learning problem consists of several aspects: a) Problem-solving from the teacher's point of view. The teacher must use the Arabic teaching method through E-learning properly and correctly. b) The solutions to students' problems are the teachers must increase student motivation in learning Arabic through E-learning, c) Completion in terms of E-learning media. Teachers and students must prepare supporting tools in the Arabic learning process through E-learning.

Adaptation of the Learning Process for Students in the Post New Normal Era: Learning Management System (LMS) Innovation Efforts in Indonesia

This study aims to explore the condition of Arabic learning at UIN Syarif Hidayatullah Jakarta after the New Normal Era and the response of the academic community of UIN Syarif Hidayatullah Jakarta to the post-New Normal situation through the development of a Learning Management System (LMS). The descriptive method is used by utilizing qualitative data from interviews and quantitative data from surveys using questionnaires. The findings show that students' response to adaptation after the COVID-19 pandemic has increased, especially in motivation to learn Arabic. The use of LMS elicits a positive response from students and faculty, enabling variety in teaching, increasing learning motivation, and facilitating assessment. Nonetheless, challenges related to access and conventional learning preferences must be overcome. The majority of lecturers see benefits in using LMS, but differences of opinion regarding the need for a face-to-face approach emphasize the importance of adapting and integrating learning technology with traditional approaches to improve the effectiveness of Arabic language learning. These findings support Gerald Gleason's concept of Educational Technology and John Dewey's The Philosophy of Education. Overall, the study highlights the importance of adaptation in Arabic language learning in the post-pandemic era, with the majority of students and lecturers responding positively to the use of learning technologies such as LMS despite the need for adjustments and improvements to improve overall learning effectiveness.

Comparison of Two Methods, Gradient Boosting and Extreme Gradient Boosting to Pre- dict Survival in Covid-19 Data

Introduction: The present study discusses the importance of having a predictive method to determine the prognosis of patients with diseases like Covid-19. This method can assist physicians in making treatment decisions that improve survival rates and avoid unnecessary treatments. This research also highlights the importance of calibration, which is often overlooked in model evaluation. Without proper calibration, incorrect decisions can be made in disease treatment and preventive care. Therefore, the current study compares two highly accurate machine learning algorithms, Gradient boosting and Extreme gradient boosting, not only in terms of prediction accuracy but also in terms of model calibration and speed. Methods: This study involved analyzing data from Covid-19 patients who were admitted to two hospitals in Mashhad city, Razavi Khorasan province, over a span of 18 months. The k-fold cross-validation method was employed on the training dataset (K=5) to conduct the study. The accuracy and calibration of two methods (Gradient boosting and Extreme gradient boosting) in predicting survival were compared using the Concordance Index and calibration. Results: The Concordance Index values obtained for gradient boosting and Extreme gradient boosting models were 0.734 and 0.736, in the imbalanced and In the balanced data, the Concordance Index values were 0.893 for gradient boosting and 0.894 for Extreme gradient boosting. The surv.calib_beta index, the gradient boosting model had an estimated value of 0.59 in the imbalanced data and 0.66 in the balanced data. The Extreme gradient boosting model had an estimated value of 0.86 in the balanced data and 0.853 in the imbalanced data. The Extreme gradient boosting model was faster in the learning process compared to the gradient boosting model. Conclusion: The Gradient boosting and Extreme gradient boosting models exhibited similar prediction accuracy and discrimination power, but the Extreme gradient boosting model demonstrated relatively good calibration compare to Gradient boosting model.

A Typology of Social Media Use by Human Service Nonprofits: Mixed Methods Study.

Nonprofit organizations are increasingly using social media to improve their communication strategies with the broader population. However, within the domain of human service nonprofits, there is hesitancy to fully use social media tools, and there is limited scope among organizational personnel in applying their potential beyond self-promotion and service advertisement. There is a pressing need for greater conceptual clarity to support education and training on the varied reasons for using social media to increase organizational outcomes. This study leverages the potential of Twitter (subsequently rebranded as X [X Corp]) to examine the online communication content within a sample (n=133) of nonprofit sexual assault (SA) centers in Canada. To achieve this, we developed a typology using a qualitative and supervised machine learning model for the automatic classification of tweets posted by these centers. Using a mixed methods approach that combines machine learning and qualitative analysis, we manually coded 10,809 tweets from 133 SA centers in Canada, spanning the period from March 2009 to March 2023. These manually labeled tweets were used as the training data set for the supervised machine learning process, which allowed us to classify 286,551 organizational tweets. The classification model based on supervised machine learning yielded satisfactory results, prompting the use of unsupervised machine learning to classify the topics within each thematic category and identify latent topics. The qualitative thematic analysis, in combination with topic modeling, provided a contextual understanding of each theme. Sentiment analysis was conducted to reveal the emotions conveyed in the tweets. We conducted validation of the model with 2 independent data sets. Manual annotation of 10,809 tweets identified seven thematic categories: (1) community engagement, (2) organization administration, (3) public awareness, (4) political advocacy, (5) support for others, (6) partnerships, and (7) appreciation. Organization administration was the most frequent segment, and political advocacy and partnerships were the smallest segments. The supervised machine learning model achieved an accuracy of 63.4% in classifying tweets. The sentiment analysis revealed a prevalence of neutral sentiment across all categories. The emotion analysis indicated that fear was predominant, whereas joy was associated with the partnership and appreciation tweets. Topic modeling identified distinct themes within each category, providing valuable insights into the prevalent discussions surrounding SA and related issues. This research contributes an original theoretical model that sheds light on how human service nonprofits use social media to achieve their online organizational communication objectives across 7 thematic categories. The study advances our comprehension of social media use by nonprofits, presenting a comprehensive typology that captures the diverse communication objectives and contents of these organizations, which provide content to expand training and education for nonprofit leaders to connect and engage with the public, policy experts, other organizations, and potential service users.

Effects on and consequences of responses to errors: Results from two experimental studies.

Interest in the potential of learning from errors to benefit innovation and organizational and personal growth is currently increasing. In practice, individuals frequently do not appear to learn spontaneously from errors and setbacks without support. Based on prior work, this paper considers antecedents and consequences of adaptive responses to errors. Two experiments with undergraduate students aimed to identify the causal link between beliefs and maintained motivation and the adaptation of actions to the end of analysing and effectively correcting errors. In Study 1 (N = 195, 72% female, M = 20.7 years, SD = 3.0), we experimentally manipulated learners' beliefs around the importance of errors to learning, after which they completed a 50-min learning session on research methods and statistics. In Study 2 (N = 67, 58% female, M = 21.8 years, SD = 3.99), we intertwined the manipulation more closely with the actual learning process by using prompts about adaptive responses to errors immediately after error feedback. In Study 1, those to whom we stressed the negative effects of errors showed significantly fewer adaptive action-related responses to errors, less persistence, and less use of metacognitive strategies after errors. In Study 2, we found significant positive effects on the learners' persistence, their metacognitive control, and effort investment. Our results support and expand previous, mostly correlational, research findings on individuals' adaptive responses to errors.

Locating Subalternity in Tribal Politics in India with Special Reference to Uttar Pradesh

The study of tribal politics in India has broadly followed two patterns. The first is the preoccupation of scholars with the question of integration of tribals into the 'mainstream' or the 'real political process' which is almost coterminous with the imaginary of what can commonly be referred to as the 'learning process' of 'nationalist politics'. (1) The second approach is an offshoot of the first and scholars have been preoccupied with the question of the impossibility of resolving the issues faced by tribals within the first framework. Accordingly, this framework tries to take out the discourse of tribal politics from what is perceived as a 'narrow and partial' approach to study the contribution made by the 'people on their own' as Ranajit Guha puts it. The subaltern Studies Collective started by Guha in the 1980s provided a trenchant critique of nationalist politics. With tribal communities getting increasingly embroiled in political action with development induced displacement in post Independent India, such an approach has gained further traction. (2) The paper makes a limited attempt to study the interaction of tribal politics in one of India's largest states, Uttar Pradesh, vis a vis, attempts to incorporate them into the 'mainstream' through various practices that lie at the intersection of the 'public' and 'private' by placing religion at the centre of identity formation. Historically tribal zones in India have remained under the influence of Christian missionaries and Naxalites. Hindu organisations started work among tribals from the 1990s and their activities can be seen as a countervailing influence against the Christian missionary activities. One of the most popular tropes used by Hindu organisations was that of a creation of a ‘national identity’ among the tribals which was quintessentially a political process. Although anthropologists have long studied the process of Hinduisation' among tribal communities. The paper will show the changing nature of state practices in India vis a vis the tribals who are identified as 'subalterns' and thus be useful for comparative studies across states.

Reform and Innovation of College English Teaching Under the Background of Mobile Internet and Big Data

The rapid development of mobile Internet has brought new development opportunities to college education and teaching. Taking university English teaching as the research object, this paper analyses the characteristics of mobile Internet in the classroom, WeChat platform, English learning app and other forms of teaching, the changes and influence of mobile Internet on English teaching, and its application in university English teaching. According to the actual teaching situation, a comprehensive evaluation system based on the learning process and results was established. The results show that the university English teaching model based on mobile Internet and the innovative evaluation and examination system can effectively improve the teaching efficiency and students' independent and sustainable learning ability. Through the reform of university English teaching, students' academic performance and learning ability have been improved. The research results are of great practical significance for promoting the reform and innovative practice of university English teaching.

GELT: A graph embeddings based lite-transformer for knowledge tracing.

The development of intelligent education has led to the emergence of knowledge tracing as a fundamental task in the learning process. Traditionally, the knowledge state of each student has been determined by assessing their performance in previous learning activities. In recent years, Deep Learning approaches have shown promising results in capturing complex representations of human learning activities. However, the interpretability of these models is often compromised due to the end-to-end training strategy they employ. To address this challenge, we draw inspiration from advancements in graph neural networks and propose a novel model called GELT (Graph Embeddings based Lite-Transformer). The purpose of this model is to uncover and understand the relationships between skills and questions. Additionally, we introduce an energy-saving attention mechanism for predicting knowledge states that is both simple and effective. This approach maintains high prediction accuracy while significantly reducing computational costs compared to conventional attention mechanisms. Extensive experimental results demonstrate the superior performance of our proposed model compared to other state-of-the-art baselines on three publicly available real-world datasets for knowledge tracking.

Revitalizing Religious Learning in Madrasah Through the Use of Technology

In today's digital age, the use of information technology (IT) has become commonplace in many aspects of life, including in education. This study deals with the use of IT as a tool for revitalizing religious learning in madrasah with the aim of improving the effectiveness and quality of teaching learning processes. In the context of the madrasah, religious learning is often considered monotonous and less attractive, so the use of IT is expected to enrich teaching methods and expand students' access to diverse learning resources. This research uses literary methods by searching for references in accordance with the context of the research. Research results show that IT has great potential in supporting more interactive and enjoyable learning. Some examples of successful IT implementations include the use of interactive learning applications, social media for learning discussions, the creation of digital content such as educational videos and podcasts, and the implementation of Learning Management System (LMS) to facilitate student progress tracking. However, the study also identified barriers, such as infrastructure constraints, lack of training for teachers, and resistance to change on some sides. To overcome these obstacles, joint efforts between educational institutions, governments, and communities are needed to improve the availability of facilities, as well as conduct a comprehensive teacher training programme in the use of IT. Therefore, with adequate support and mature planning, IT can be a powerful tool in revitalizing religious learning in the madrasah, thereby producing a more dynamic, interactive, and adapted learning process

Emotional impact and performance in serious games: investigating computational thinking in inclusive education

Serious games have the potential to improve teaching and learning processes by attracting, inspiring and motivating students’ interest. By using educational games, students can develop skills that encompass the computational thinking, enabling students to solve real problems. Given the importance of the development of computational thinking for all students, including those with disabilities, this article aims to evaluate the impact of the insertion of serious games on teaching and learning basic computational thinking concepts in inclusive education. We analyze and correlate the emotional and performance aspects, in order to emotional and performance aspects can contribute to better interactions among students in inclusive education and interaction barriers can impact negativelly on task performance and playability. For this purpose, we selected two serious games and recruited nineteen students with special needs to perform a set of tasks in each game. We measured the emotional and performance aspects through the Geneva Emotions and performance wheel. The results indicate a strong correlation between positive students’ emotions and good students’ performance, significantly impacting the accomplishment of tasks and playability of games.

Improving Elementary School Students’ Wudu Ablution Skills With The Use of Images and Audio-Visual Props

This research aims to evaluate the ablution proficiency of second-grade students at 24 Biaro State Elementary School during the academic year 2023/2024 and to explore the effectiveness of using visual and audio-visual media in enhancing this skill. Previously, ablution instruction at this school primarily relied on lecture-based methods that often failed to actively engage students, resulting in suboptimal learning outcomes. However, with the introduction of visual and audio-visual aids as a new innovation in ablution instruction, the learning environment has become more stimulating and interactive. The use of these media provides students with the opportunity to actively participate in the learning process. They can clearly observe the correct sequence and techniques for performing ablution, both in physical movements and in reciting relevant verses. The importance of accurate pronunciation in ablution recitations is also emphasized, prompting the researcher to adopt a method of reciting the verses aloud to swiftly detect and correct pronunciation errors. Data collected from this study were analyzed using descriptive statistical techniques. The results indicate a significant improvement in ablution proficiency when visual and audio-visual media are employed in instruction. Comparisons of students' practical test results from pre-cycle to cycle II show consistent improvement, with the highest scores achieved in cycle II. This confirms the hypothesis that the use of visual and audio-visual aids can enhance ablution proficiency among second-grade students at 24 Biaro State Elementary School.

Problematika Akhlak Peserta Didik dalam Mengikuti Proses Pembelajaran Pendidikan Agama Islam

The morals of students can be influenced by the surrounding environment. Local culture can also play an important role in shaping children's behavior and morals. Because a person's morals can be influenced by local cultural, environmental, and educational factors. It is important to understand and appreciate this diversity in an effort to improve character education throughout the region. In some areas such as the Pagar Alam area as we know the people in this area are very known for their friendliness even though the tone of speech in the Sumatra area is known for a speech style that sounds harsh if heard by others but in fact it is not. The purpose of this study is to know the moral problems of students when participating in the learning process and to know solutions in overcoming the moral problems of students in following the learning process of Islamic Religious Education. This kind of research. Qualitative research The approach used by researchers is a qualitative descriptive approach Data collection techniques used and to support the author's research data using interview guidelines, observation guidelines and documentation. There are students who do not want to be reprimanded or given directions, so the teacher will not force the child but the teacher there will still do or give punishment if the student violates the rules.

The Impact of Positivity in Multi Business Model Innovation in a World of VUCA – How Can Positive Emotions Stimulate the MBMI Process?

The importance of right speed, effectiveness, efficiency and learning in Multi Business Model Innovation (MBMI) is vital to meet today’s Volatile, Uncertainty, Complex and Ambiguous (VUCA) challenges to survive as a Business in Business Model EcosystemS (BMES). Coronavirus pandemic, war in Ukraine, volatile global material and resource prices and deliveries, cyberattacks make big external VUCA events to Businesses. VUCA can also come from the inside of the Business as management style change, interventions or a burn down of the Business. How can Businesses under these VUCA conditions still do high quality MBMI? How can MBMI participants and teams in these processes increase their MBMI output? This paper investigates the impact of positive emotions, relatedness and creativity on the outcome of three different MBMI processes in three different Business Model Ecosystems influenced by VUCA. Positivity, relatedness and creativity are hypothesized as components to strengthen the individuals’ search for meaning in VUCA and for their motivation to act in MBMI processes influenced by VUCA. The study is conducted as a mix method research project in the view of MBMI and psychological theory – particularly the concept of positive emotions and relatedness as mental states for learning and knowledge creation. Interviews and observations show that individuals in networks and teams with a mood of positivity strengthen MBMI and the MBMI learning and creation process. Thus, our intention for further research is twofold: Training in positivity in teams can stimulate the courage to make disruptive solutions sufficient for VUCA. Secondly, in searching for the MBMI mindset psychological traits will be studied by the Big Five profile test. This opens for recruitment of participants to optimizing MBMI teams. Main contributions are: • Positive emotions and relatedness strengthen the urge to learn and to create in VUCA – searching for meaning and motivation to act is related to this concept. • Learning and creative processes increase, since the basis of positivity and relatedness in individuals, teams and networks are strengthened. • Innovative outcome seems of a higher quality when based on positive emotions. Research in positive emotions in Business Model Innovation is rare. • Positive emotion is the core concept and by training of positivity, it may strengthen the MBMI processes and the VUCA competences. • The outcomes and solution of the MBMI processes in the case study show mainly incremental and radical MBMI – only one is disruptive.

The Speed of Injury and Its Concussion Among Some Basic Skills for Youth Football

The current research aimed to identify the speed of motor response to some basic skills in youth soccer players, and to identify the relationship between some basic skills and the speed of motor response in youth soccer players. The descriptive method was used by the researcher in the form of correlations to fit the research question. The research community was represented by young football players of the Border Sports Club in football, and the number of players (26) players were selected by the random method, and the researcher chose the research sample by random method and consisted of (18) players, the goalkeepers were excluded from the lottery and their number (3) and the sample was excluded from the exploratory experiment and their number (5). The speed of reaction test and the basic skills test were determined after being presented to a group of experts and specialists who considered it one of the most important basic skills in the game of football, as most scientific sources emphasize that it is the basis of the learning and training process in the game of football. And because mastering this skill will quickly help improve the performance of other skills. The researcher relied on the statistical package (SPSS) version (25). The researcher concluded from her study that young soccer players are characterized by fast motor response, and that the speed of motor response has an effective role in the accuracy of some special skills, including the skill of handling, rolling and shooting for young soccer players.

Comparison of Sentiment Analysis Methods Used to Investigate the Quality of Teaching Aids Based on Virtual Simulators of Embedded Systems

Virtual simulators of embedded systems and analyses of student surveys regarding their use at the early stage of the process of learning embedded systems, are presented in this article. The questionnaires were prepared in the Polish language, and the answers were automatically translated into English using two publicly available translators. The results of users’ experiences and feelings related to the use of virtual simulators are shown on the basis of detected sentiment using three chosen analysis methods: the Flair NLP library, the Pattern library, and the BERT NLP model. The results of the selected sentiment detection methods were compared and related to users reference answers, which gives information about the methods quality of the methods and their possible use in the automated review analysis process. This paper comprises detailed sentiment analysis results with a broader statistical approach for each question. Based on the students feedback and sentiment analysis, a new version of the TMSLAB v.2 virtual simulator was created.

Stripe-Assisted Global Transformer and Spatial–Temporal Enhancement for Vehicle Re-Identification

As a core technology in intelligent transportation systems, vehicle re-identification has attracted growing attention. Most existing methods use CNNs to extract global and local features from vehicle images and roughly integrate them for identifying vehicles, addressing intra-class similarity and inter-class difference. However, a significant challenge arises from redundant information between global and local features and possible misalignment among local features, resulting in suboptimal efficiency when combined. To further improve vehicle re-identification, we propose a stripe-assisted global transformer (SaGT) method, which leverages a dual-branch network based on transformers to learn a discriminative whole representation for each vehicle image. Specifically, one branch exploits a standard transformer layer to extract a global feature, while the other branch employs a stripe feature module (SFM) to construct stripe-based features. To further facilitate the effective incorporation of local information into the learning process of the global feature, we introduce a novel stripe-assisted global loss (SaGL), which combines ID losses to optimize the model. Considering redundancy, we only use the global feature for inference, as we enhance the whole representation with stripe-specific details. Finally, we introduce a spatial-temporal probability (STPro) to provide a complementary metric for robust vehicle re-identification. Extensive and comprehensive evaluations on two public datasets validate the effectiveness and superiority of our proposed method.

Promote Innovation In Madrasah Through The Use Of Educational Technology

The research aims to explore and evaluate the application of educational technology in promoting learning innovation in the madrasah. With the increasing importance of technology integration in the world of education, madrasas also need to adapt teaching methods by integrating relevant digital tools and resources. The research digs into a range of strategies that can be applied by the matrasah to integrate educational technology effectively, including teacher training, developing technological infrastructure, revising curricula, and applying project-based learning using technology. The study uses a qualitative approach through literary research methods, by reviewing and analyzing previous studies, reports, and data on similar topics. Research results show that the use of educational technology in the madrasah has significant potential to drive innovation in the teaching learning process. The training and professional development of teachers is identified as a key factor in the successful implementation of technology, with adequate technological infrastructure as an essential prerequisite. The integration of curricula with digital resources and the implementation of technology-supported project-based learning strategies has proven to enhance student engagement and deepen their understanding of the subject matter. However, challenges such as limited access to technological resources, lack of effective teacher training, and resistance to change in traditional learning practices are also identified as obstacles to be overcome.

Enhancing Students' Vocabulary through Interactive Word Wall Learning at SMP Yanbu'ul Hikmah

Possessing a sufficient vocabulary in English might motivate someone to write and converse in the language. Therefore, it is thought that vocabulary mastering is crucial for both the process of learning a language and the growth of a person's ability to learn a language. The number and quality of a person's vocabulary determine the level of their language abilities. Action research is the desired and appropriate research design for this study. The findings indicate that the efforts made by the researchers and their partners to use word wall learning materials to help third-grade SMP YANBUUL HIKMAH better understand English vocabulary has increased. Third-grade students agreed that using word wall media to study English will help them become more proficient in the vocabulary learning process is considered successful when there is a positive change in the student's overall self, or at least in part, 75% of the time. This is demonstrated by the learning outcomes. Therefore, it can be said that class III pupils'' mastery of the English vocabulary can be enhanced by using word wall media.

Acute Stress Effects on Statistical Learning and Episodic Memory.

Stress is widely considered to negatively impact hippocampal function, thus impairing episodic memory. However, the hippocampus is not merely the seat of episodic memory. Rather, it also (via distinct circuitry) supports statistical learning. On the basis of rodent work suggesting that stress may impair the hippocampal pathway involved in episodic memory while sparing or enhancing the pathway involved in statistical learning, we developed a behavioral experiment to investigate the effects of acute stress on both episodic memory and statistical learning in humans. Participants were randomly assigned to one of three conditions: stress (socially evaluated cold pressor) immediately before learning, stress ∼15 min before learning, or no stress. In the learning task, participants viewed a series of trial-unique scenes (allowing for episodic encoding of each image) in which certain scene categories reliably followed one another (allowing for statistical learning of associations between paired categories). Memory was assessed 24 hr later to isolate stress effects on encoding/learning rather than retrieval. We found modest support for our hypothesis that acute stress can amplify statistical learning: Only participants stressed ∼15 min in advance exhibited reliable evidence of learning across multiple measures. Furthermore, stress-induced cortisol levels predicted statistical learning retention 24 hr later. In contrast, episodic memory did not differ by stress condition, although we did find preliminary evidence that acute stress promoted memory for statistically predictable information and attenuated competition between statistical and episodic encoding. Together, these findings provide initial insights into how stress may differentially modulate learning processes within the hippocampus.