Research on the Influencing Factors of College Students' Deep and Meaningful Learning in Blended Learning Mode

This study explores the influencing factors of deep and meaningful learning in blended learning modes and their interrelationships. The sample comprises 397 college students from a university in Sichuan Province, selected through random sampling. Data collection utilized a questionnaire based on Bandura's ternary interaction theory, covering dimensions such as learners, helpers, environment, and interaction. Hypotheses were formulated based on literature research, and a survey was developed using established scales. Quantitative analysis was conducted using SPSS and AMOS software. The mean, standard deviation, variance, skewness, and kurtosis values were within reasonable ranges. The latent variables of the model exhibited sound convergent validity, with SFL ranging from 0.807 to 0.965, AVE from 0.697 to 0.946, and CR from 0.919 to 0.946. Model fit indices indicated acceptable fit (CMIN/DF: 2.303, NFI: 0.966, CFI: 0.980, RMSEA: 0.58, RMR: 0.008, PNFI: 0.789). Through path analysis, the study optimized the model, resulting in the final structural equation model (SEM). The findings suggest that (1) learner, environmental, and interaction factors positively influence deep and meaningful learning, while helper factors show a negative correlation; (2) learner, interaction, and helper factors mediate the environment's impact on deep and meaningful learning; and (3) environmental factors have the most significant influence on helper factors, followed by interaction and learner factors. Helpers play a significant role in enhancing deep understanding for learners. These insights guide effective strategies in promoting deep and meaningful learning in blended learning environments

Development of P-TMDRE Blended Teaching Mode on E-Commerce Foundation Course in Secondary Vocational School

This research originates from the challenges faced in the teaching of depth, systematization, and coherence in the current blended teaching mode, which is based on an innovatively constructed P-TMDRE blended teaching mode of the “E-commerce foundation course” in secondary vocational schools, which is belived to improve students’ grades, due to its emphasis of in-depth systemic learning. The sample uses the method of target sampling to select 17 experts; the course practice is aimed at 80 sophomores majoring in e-commerce, divided into 40 participants in the experimental group and 40 participants in the control group. Four rounds of expert review using the Delphi method: first round: brainstorming; second round: expert opinion review stage; third round: re-evaluation stage based on the previous round of evaluation opinions; fourth round: identify, resolve, and report Workable ideas. Through the pre-test and post-test of the quasi-experimental method, the student’s grades and deep system learning ability are tested, and the effectiveness of the P-TMDRE blended teaching mode is further confirmed. Using Delphi technology to build five modules of the P-TMDRE blended teaching mode of the “E-commerce foundation course” course. After the teaching application, the average post-test scores of the control group and the experimental group were 64.765 and 75.252, with a difference of 10.487 points, indicating that the learners’ academic performance has been significantly improved. On the motivation dimension of deep systems learning, the pre-test and post-test averages are 2.91 and 4.14. In terms of learning engagement, the mean values of the pre-test and post-test were 2.93 and 4.15. In terms of deep system learning strategies, the mean values of the pre-test and post-test of the learners in the experimental group were 2.96 and 4.17, indicating that the deep system learning ability of the learners has been significantly improved

Developing Translation Competence of Undergraduate Translation Students under Computer-aided Translation Technology

College students who major in translation often face psychological and physiological challenges that affect their learning experience. They have a particular interest in learning translation, but their level is not high; their enthusiasm for translation learning is not high, and they lack confidence. This paper divided them into control and experimental groups comprising 50 students. Before introducing computer-aided translation (CAT), students in both groups were given the same basic training, including language, translation theory, and professional knowledge, thus ensuring that both groups had similar essential competencies. The experimental group introduced CAT and provided them with the necessary training and guidance to ensure their complete understanding and familiarity with CAT technology. Regular translation tests were conducted on two groups of students, mainly examining their performance in vocabulary translation, grammar translation, and discourse cohesion. Meanwhile, feedback and discussion with the experimental group of students can help them improve the quality of their translations. Before the introduction of CAT technology, 25% of vocabulary omissions occurred, while after the introduction of CAT technology, 7% of vocabulary omissions occurred. This article contributed to the cultivation of translation competencies of undergraduate translation students

Characterisation of microstructure, defect and high-cycle-fatigue behaviour in a stainless steel joint processed by brazing

We report the characterisation of microstructures and high-cycle-fatigue (HCF) properties of Type 304 stainless steel joints processed by brazing. Pure copper was applied as the filler metal for brazing at 1120 °C. A two-phase microstructure was obtained within the joint region: the star-shaped precipitates and copper matrix. The precipitates with an average size of 0.43 μm were rich in iron and chromium. A fixed orientation relationship was found between the precipitates and copper matrix. The joint exhibited much higher tensile strength and HCF life when compared to pure copper. The strength enhancement can be attributed to the presence of precipitates. Furthermore, the effect of joint interface roughness as well as defects was critically investigated. The joint interface roughness showed little influence on the HCF lives. Post-examinations revealed that fatigue crack initiation and propagation occurred entirely within the joint region, hence being consistent with the similar HCF lives regardless of the pre-defined interface roughness conditions. In addition, it was found that the HCF lives decreased exponentially with the increase of initial defect area. Fractography analysis revealed that fatigue striation spacings near the crack initiation zone increased with the increase of defect area, suggesting that the larger defects result in higher crack growth rate, hence shorten the overall fatigue life.</div

Kinome reprogramming is a targetable vulnerability in ESR1 fusion-driven breast cancer

UNLABELLED: Transcriptionally active ESR1 fusions (ESR1-TAF) are a potent cause of breast cancer endocrine therapy (ET) resistance. ESR1-TAFs are not directly druggable because the C-terminal estrogen/anti-estrogen-binding domain is replaced with translocated in-frame partner gene sequences that confer constitutive transactivation. To discover alternative treatments, a mass spectrometry (MS)-based kinase inhibitor pulldown assay (KIPA) was deployed to identify druggable kinases that are upregulated by diverse ESR1-TAFs. Subsequent explorations of drug sensitivity validated RET kinase as a common therapeutic vulnerability despite remarkable ESR1-TAF C-terminal sequence and structural diversity. Organoids and xenografts from a pan-ET-resistant patient-derived xenograft model that harbors the ESR1-e6\u3eYAP1 TAF were concordantly inhibited by the selective RET inhibitor pralsetinib to a similar extent as the CDK4/6 inhibitor palbociclib. Together, these findings provide preclinical rationale for clinical evaluation of RET inhibition for the treatment of ESR1-TAF-driven ET-resistant breast cancer. SIGNIFICANCE: Kinome analysis of ESR1 translocated and mutated breast tumors using drug bead-based mass spectrometry followed by drug-sensitivity studies nominates RET as a therapeutic target. See related commentary by Wu and Subbiah, p. 3159