The Effects of Integrating Language Learning Strategy into EFL Instruction for Non-English Major Students in Vocational Technical Colleges

Language learning strategies play an important role in language learning. Students in vocational technical colleges have been regarded as low English proficiency learners due to their weak foundation in learning English. To explore the solution, the present study employed a specific survey of language learning strategy use and tried to conduct a one-semester language learning strategy training, aiming to investigate the effects of integrating language learning strategy into EFL instruction for non-English major students in vocational technical colleges. We found after the instruction, the difference in the frequency of overall strategy use between the experimental group and the control group was significant indicating that the students could be trained with language learning strategies to enhance the frequency of their strategy use. After language learning strategy instruction, the experimental group didn＇t perform significantly better than the control group in terms of their English language proficiency. However, the results of this present study still supported this viewpoint that the strategy instruction had positive impacts to some extent if properly conducted, for it had positive effects on enhancing students＇ language learning strategy use.

DeepMal:maliciousness-Preserving adversarial instruction learning against static malware detection

Outside the explosive successful applications of deep learning(DL)in natural language processing,computer vision,and information retrieval,there have been numerous Deep Neural Networks(DNNs)based alternatives for common security-related scenarios with malware detection among more popular.Recently,adversarial learning has gained much focus.However,unlike computer vision applications,malware adversarial attack is expected to guarantee malwares’original maliciousness semantics.This paper proposes a novel adversarial instruction learning technique,DeepMal,based on an adversarial instruction learning approach for static malware detection.So far as we know,DeepMal is the first practical and systematical adversarial learning method,which could directly produce adversarial samples and effectively bypass static malware detectors powered by DL and machine learning(ML)models while preserving attack functionality in the real world.Moreover,our method conducts small-scale attacks,which could evade typical malware variants analysis(e.g.,duplication check).We evaluate DeepMal on two real-world datasets,six typical DL models,and three typical ML models.Experimental results demonstrate that,on both datasets,DeepMal can attack typical malware detectors with the mean F1-score and F1-score decreasing maximal 93.94%and 82.86%respectively.Besides,three typical types of malware samples(Trojan horses,Backdoors,Ransomware)prove to preserve original attack functionality,and the mean duplication check ratio of malware adversarial samples is below 2.0%.Besides,DeepMal can evade dynamic detectors and be easily enhanced by learning more dynamic features with specific constraints.

A Model for Conducting Strategy Training

Effective learning is not merely a matter of an individual having a high IQ. What appears to be important is the learners＇ ability to respond to the particular learning situation and to manage their learning in an appropriate way. Studies of successful and unsuccessful learners show that people who succeed in learning have developed a range of strategies from which they are able to select those that are most appropriate for a particular problem, to adapt them flexibly for the needs of the specific situation, and to monitor their level of success. Based on the assumption that integrating strategies into foreign language teaching is both valuable and achievable and that their accomplishment can enhance independent foreign language learning, this paper offered a model of strategy-based instruction, which includes both explicit and implicit integration of strategies into classroom instruction.

Speech at the Meeting Commemorating the 50th Anniversary of Chairman MAO Ze-dong's Important Instruction on Western Medicine Doctors Learning Traditional Chinese Medicine

Respected leaders,distinguished guests,venerable seniors and comrades, Today,the Meeting Commemorating the 50th Anniversary of Chairman MAO Ze-dong’s Important Instructions on Western Medicine Doctors Learning Traditional Chinese Medicine was inaugurated by the Chinese Association of Integrative Medicine, and it is also an important occasion to review the past and look forward to the future.

COMPUTER ASSISTED INSTRUCTION AND ITS APPLICATION IN ENGLISH LEARNING

This paper briefly describes the development of computer assisted instruction(CAI) abroad and in China, lists the advantages of CAI and deals with its application in English learning. Some suggestions about how to make better use of CAI in ELT are also given.