The Effect of Inquiry-Based Learning Strategy on EFL Tenth-Grade Students’ Reading Comprehension

This study examined the potential effect of Inquiry-Based Learning Strategy(IBL)on the tenth-grade students’reading comprehension.Two groups and a quasi-experimental design were used.Two complete sections of grade 10 students from a public Secondary School for Girls in Irbid was randomly assigned by the researcher.The experimental group of 30 students was chosen first,and then the control group of 30 students.A pre-post reading comprehension test was designed before and after the study in order to fulfill its goals.Additionally,the experimental group was taught using the IBL strategy,whereas the control group was taught using the traditional teaching methods recommended in the tenth-grade Teacher’s Book.According to the findings,there were significant statistical differences favoring the experimental group over the control group.In light of the findings,the researcher recommended employing the IBL strategy to students with various levels and EFL skills.

Using Cooperative Learning Strategy to Teach Speaking among Chinese College EFL Students

Chinese English speaking class faces lots of problems,such as lack of motivation,the big class size,the gap between stu⁃dents from urban and rural areas,etc.In order to solve these problems,the cooperative learning strategy is introduced and analyzed in this article.This article defines the cooperative learning strategy and then introduces the benefits of it and at last suggests how to using it in English teaching,especially in speaking.

Anderson's Cognitive Theory and Learning Strategy Studies in Second Language Acquisition

Second language acquisition can not be understood without addressing the interaction between language and cognition. Cognitive theory can extend to describe learning strategies as complex cognitive skills. Theoretical developments in Anderson’s production systems cover a broader range of behavior than other theories, including comprehension and production of oral and written texts as well as comprehension, problem solving, and verbal learning.Thus Anderson’s cognitive theory can be served as a rationale for learning strategy studies in second language acquisition.

An Investigation and Analysis in English Learning Strategy of SFLS Students

There is a close relationship between English learning strategy and language proficiency. This study is aimed to investigate how frequently students in our school use different English learning strategies. With the detailed analysis of the questionnaire data, it is hoped that strategy awareness can be gradually cultivated in students' mind.

Learning Strategy Training in Foreign Language Teaching

A great many recent studies have shown that making good use of learning strategies can contribute much to students' foreign language learning. This paper deals with some important issues about strategy training based on O'Malley and Chamot's theory, including the concept, value and goals of strategy training and approaches to such training.

Exploration on Learning Strategy in Second Language Acquisition

Learning strategies can be seen as particular techniques used by learners to have a good mastery of a second language.This articles aims to summarize the different opinions about learning strategies from different scholars in the hope of inspiring peo⁃ple to seek for more efficient strategies to be successful learners.

How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles

Typically, relationship between well logs and lithofacies is complex, which leads to low accuracy of lithofacies identification. Machine learning (ML) methods are often applied to identify lithofacies using logs labelled by rock cores. However, these methods have accuracy limits to some extent. To further improve their accuracies, practical and novel ensemble learning strategy and principles are proposed in this work, which allows geologists not familiar with ML to establish a good ML lithofacies identification model and help geologists familiar with ML further improve accuracy of lithofacies identification. The ensemble learning strategy combines ML methods as sub-classifiers to generate a comprehensive lithofacies identification model, which aims to reduce the variance errors in prediction. Each sub-classifier is trained by randomly sampled labelled data with random features. The novelty of this work lies in the ensemble principles making sub-classifiers just overfitting by algorithm parameter setting and sub-dataset sampling. The principles can help reduce the bias errors in the prediction. Two issues are discussed, videlicet (1) whether only a relatively simple single-classifier method can be as sub-classifiers and how to select proper ML methods as sub-classifiers;(2) whether different kinds of ML methods can be combined as sub-classifiers. If yes, how to determine a proper combination. In order to test the effectiveness of the ensemble strategy and principles for lithofacies identification, different kinds of machine learning algorithms are selected as sub-classifiers, including regular classifiers (LDA, NB, KNN, ID3 tree and CART), kernel method (SVM), and ensemble learning algorithms (RF, AdaBoost, XGBoost and LightGBM). In this work, the experiments used a published dataset of lithofacies from Daniudi gas field (DGF) in Ordes Basin, China. Based on a series of comparisons between ML algorithms and their corresponding ensemble models using the ensemble strategy and principles, conclusions are drawn: (1) not only decision tree but also other single-classifiers and ensemble-learning-classifiers can be used as sub-classifiers of homogeneous ensemble learning and the ensemble can improve the accuracy of the original classifiers;(2) the ensemble principles for the introduced homogeneous and heterogeneous ensemble strategy are effective in promoting ML in lithofacies identification;(3) in practice, heterogeneous ensemble is more suitable for building a more powerful lithofacies identification model, though it is complex.

Performance releaser with smart anchor learning for arbitrary‐oriented object detection

Arbitrary‐oriented object detection is widely used in aerial image applications because of its efficient object representation.However,the use of oriented bounding box aggravates the imbalance between positive and negative samples when using one‐stage object detectors,which seriously decreases the detection accuracy.We believe that it is the anchor learning strategy(ALS)used by such detectors that needs to take the responsibility.In this study,three perspectives on ALS design were summarised and ALS—Performance Releaser with Smart Anchor Learning(PRSAL)was proposed.Performance Releaser with Smart Anchor Learning is a dynamic ALS that utilises anchor classification ability as an equivalent indicator to anchor box regression ability,this allows anchors with high detection potential to be filtered out in a more reasonable way.At the same time,PRSAL focuses more on anchor potential and it is able to automatically select a number of positive samples that far exceed that of other methods by activating anchors that previously had a low spatial overlap,thereby releasing the detection performance.We validate the PRSAL using three remote sensing datasets—HRSC2016,DOTA and UCAS‐AOD as well as one scene text dataset—ICDAR 2013.The experimental results show that the proposed method gives substantially better results than existing models.

Relationships Between Chinese EFL Learners’IELTS Band Score and Motivated Strategies for Learning

EFL learners,who study English as a foreign language,often use different learning strategies in the learning process,with positive and negative results in their academic performance.Whether these learning strategies are effective or not are questions to be explored.So,the author examined the relationship between Chinese EFL learners’test results and the use of motivated strategies for learning in English learning.Participants are students who have taken a high-stake standardized English proficiency test:IELTS(International English Language Testing System)with band score obtained.The results show that students’performance on high-stakes assessment is significantly associated with the use of motivated learning strategies like internal value in sharp contrast to test anxiety,which bears no relevance.Interviews are then implemented to candidates with different levels of English proficiency to figure out other related factors contributing to the test results.

A Brief Study of Second Language Learning Strategies From the Perspective of Error Analysis

Language teaching is not a one-way process.It interacts with language learning in an extremely intricate way.To improve language teaching,we need to take the process of language learning into account.This paper tries to explore and understand what strategies the second language learners consciously or subconsciously adopt during their language learning process through the analyses of the linguistic errors they commit,so as to provide some insights into language teaching practice.

Learning Strategies in Chinese EFL Learners' Reading Comprehension

According to schema theory resulting from the psycholinguistic model of reading,comprehending a text is an interactive process between the reader background knowledge and the text. This article first views the psycholinguistic model of reading and research in learning strategies, then discusses the application of socioaffective,cognitive, metacognitive learning strategies in Chinese EFL learners’ reading comprehension.

An Industrial Intrusion Detection Method Based on Hybrid Convolutional Neural Networks with Improved TCN

Network intrusion detection systems(NIDS)based on deep learning have continued to make significant advances.However,the following challenges remain:on the one hand,simply applying only Temporal Convolutional Networks(TCNs)can lead to models that ignore the impact of network traffic features at different scales on the detection performance.On the other hand,some intrusion detection methods considermulti-scale information of traffic data,but considering only forward network traffic information can lead to deficiencies in capturing multi-scale temporal features.To address both of these issues,we propose a hybrid Convolutional Neural Network that supports a multi-output strategy(BONUS)for industrial internet intrusion detection.First,we create a multiscale Temporal Convolutional Network by stacking TCN of different scales to capture the multiscale information of network traffic.Meanwhile,we propose a bi-directional structure and dynamically set the weights to fuse the forward and backward contextual information of network traffic at each scale to enhance the model’s performance in capturing the multi-scale temporal features of network traffic.In addition,we introduce a gated network for each of the two branches in the proposed method to assist the model in learning the feature representation of each branch.Extensive experiments reveal the effectiveness of the proposed approach on two publicly available traffic intrusion detection datasets named UNSW-NB15 and NSL-KDD with F1 score of 85.03% and 99.31%,respectively,which also validates the effectiveness of enhancing the model’s ability to capture multi-scale temporal features of traffic data on detection performance.

A Synthesis of the Studies on Vocabulary Learning Strategies in ESL and EFL Learning

Vocabulary is the core of language learning.The efficiency of vocabulary learning may influence language learning outcome.Vocabulary learning strategies can help the learners to learn vocabulary more efficiently,and they are very useful and beneficial for language learners.This paper synthesizes the research on vocabulary learning strategies in ESL and EFL learning,including the studies on the definitions of vocabulary learning strategies,classifications of vocabulary learning strategies and previous main research areas.The previous research areas mainly involve in the following aspects:patterns and taxonomies of vocabulary learning strategies,gender difference and vocabulary learning strategies,language proficiency and vocabulary learning strategies,major or disciplinary difference and vocabulary learning strategies,vocabulary learning strategies used frequently and effectively,vocabulary learning strategies and learning outcomes,and vocabulary learning strategy training.

An Investigation on Vocabulary Learning Strategies of Business English Majors

The vocabulary learning strategies are very common in English learning. Basing on O'Malley & Chamot's classification framework of vocabulary learning strategies, the present study conducts research by the questionnaires and interviews of junior Business English Majors to know the current real situation of business English vocabulary learning strategies used by business English Majors. After analyzing and discussing the problems which are reflected in the questionnaire and interview, the researcher puts forward some suggestions on vocabulary learning and teaching in Business English. The researcher hopes it is helpful for Business English Majors to learn Business English vocabulary.

Incorporation of Learning Strategies into Web-based Autonomous Listening

The thesis introduces a comparative study of students'autonomous listening practice in a web-based autonomous learning center and the traditional teacher-dominated listening practice in a traditional language lab.The purpose of the study is to find how students'listening strategies differ in these two approaches and thereby to find which one better facilitates students'listening proficiency.

An Empirical Study of Depth of Vocabulary Knowledge and Vocabulary Learning Metacognitive Strategies of Non-English Majors

This paper concentrates on the depth of vocabulary knowledge and vocabulary learning metacognitive strategies used by Chinese non-English majors in an independent college.Results show the depth of vocabulary knowledge of the subjects only reaches the passing level.And metacognitive strategies are correlated significantly with the depth of vocabulary knowledge.

Academic Stress Assessment Using Virtual Reality as an Educational Tool in Spine Surgery

Introduction: The evaluation of academic stress in medical students and residents is a topic of significant interest, given the considerable challenges they face during their learning process with traditional teaching methods. The use of technologies like virtual reality presents an opportunity to enhance their skills through simulations and training. The main objective of this study is to qualitatively assess the stress levels experienced by medical students and residents by integrating virtual reality into their current learning methods, aiming to improve their ability to manage stressors in their practice. Material and Methods: A questionnaire was conducted with 12 medical students and 12 Traumatology and orthopedics residents. The purpose of the questionnaire was to evaluate the levels of academic stress using the SISCO inventory. The stress levels were calculated by transforming average values into percentages, and the following criteria were assigned: 0 to 33% for Mild Stress, 34 to 66% for Moderate Stress, and 67 to 100% for Deep Stress. Then, a virtual reality class focused on spine surgery was provided. Both medical students and residents were trained using the Non Nocere SharpSurgeon software platform and Oculus Quest 2 virtual reality glasses. At the end of the session, a second questionnaire related to the practice with virtual reality was conducted with the same evaluation criteria and a comparative analysis was carried out. Results: 12 undergraduate students from Hospital Angeles Mexico, CDMX and 12 traumatology and orthopedics residents at Hospital Santa Fe, Bogota were evaluated. The students in CDMX reported an average qualitative stress of 28.50% during habitual practices, which decreased to an average of 14.67% after virtual reality practice. Residents in Bogotá experienced an average qualitative stress of 30.50% with their current learning methods but this reduced to an average of 13.92% after using virtual reality. These findings indicate that the use of virtual reality has a positive impact on reducing stress levels qualitatively. Conclusions: The use of virtual reality as a learning method for medical students and residents qualitatively improves stress levels. Further studies are required to define the potential uses of Virtual Reality to improve learning methods and emotional state in medical students and residents and for a quantitative assessment to validate the training as certified learning methods.

Correlation between Learning Characteristics and Ability of Art and Design Students in Vocational Colleges

This paper introduced the current situation and development background of art and design vocational education in China, especially the relationship between learning characteristics and ability of art and design students in vocational colleges. The approaches of overcoming the inclination to utilitarianism and aesthetic deficiency in art and design education of Chinese higher vocational colleges should be explored from the perspective of learning motivation, strategy and ability, so as to propose countermeasures to improve learning ability of art and design students in vocational colleges.

A Critical Review on Language Learning Strategies and Implications for College English Teaching

This paper reviews the current developments of language learning strategy researches in the world, both approval and critical voices on the issue of strategy instruction. Then it summarizes the current developments of learning strategy instruction in China. It indicates college English teachers should model learning strategy and make the instruction explicit. Students are advised to be active in seeking for strategies suitable for themselves through their own exploration and reflection.

Formative assessment of language learning strategies

This article attempts to integrate language learning strategies into the theory and practice of formative assessment. It is argued that learners’ current language problems might have been a result of their strategic learning problems. As such, diagnosing the potential problems in language learning strategies and providing support in strategic learning(the ‘how’ of learning) will not only help locate the possible causes of language deficiencies but also help learners close the linguistic gap(the ‘what’ of learning). The article also illustrates how language learning strategies can be assessed formatively. Next, two implementation issues, the teacher’s pedagogical content knowledge and student engagement after assessment feedback, are highlighted for discussion.