Wanru Song

As blended learning becomes a new norm in higher education, students' learning behaviours in this context have drawn great concern. To accurately assess these behaviours, this TAM‐based mixed‐method study first developed a semi‐structured interview protocol via literature review, interviewed 10 university students with blended learning experience to preliminarily construct a 3‐dimensional framework (behavioural intention, process, feedback), then 297 students from a university in China who have participated in blended learning are randomly selected as the research objects. Exploratory factor analysis, confirmatory factor analysis and reliability tests showed good model fit and scale reliability/validity, indicating the scale has application value and provides ideas for universities to enhance students' positive learning behaviours in blended learning.

This study explored the efficacy of a career group counseling intervention for students with low career maturity for their improved career maturity, self-efficacy, and mental health. Participants included two groups: 548 Chinese college students survey study (female = 31.93%, mean age = 20.836, SD = 1.215 years), and 30 college students with low career maturity for the intervention study (female = 50.00%) selected from the first group. The participants completed surveys on career maturity, self-efficacy, and mental health. Results from Hayes regression-based PROCESS with Amos 26.0 for structural equation modeling revealed that career maturity is associated with high self-efficacy, mental health, and self-efficacy. The intervention group results indicated efficacy of the group counselling after 6 weeks of (1 h/week), and significantly higher post-test scores in career maturity, self-efficacy, and mental compared to random case control group from the total study participants. These findings provide the evidence for theory based on group counseling applying a social cognitive career theory–driven modular intervention approach that integrates career maturity development, self-efficacy enhancement, and mental health promotion within a structured six-week group program. The current study validates the applicability of social cognitive career theory in explaining how career maturity promotes mental health through self-efficacy, thereby strengthening theoretical pathways linking career development to psychological well-being. Based on these findings, a structured career group counseling approach that targets career concern, curiosity, and confidence can effectively improve college students’ career maturity, self-efficacy, and mental health.

Face images hold exceptional significance in contemporary society, serving as direct identifiers due to their rich personal attributes, enhancing daily life and work efficiency. However, advancements in deep learning and image processing have led to the proliferation of sophisticated face forgery software, rendering detection increasingly challenging. We propose a novel face tampering detection method utilizing a spatial attention-enhanced bidirectional convolutional neural network to address this. This approach synergizes the strengths of dense convolutional and depthwise separable networks for superior image feature extraction, thereby improving the accuracy of authentic and manipulated face detection. Furthermore, the network is trained to initially localize tampered regions within face images by integrating a spatial channel-based attention module as supervisory input. On three widely used public face forgery datasets, our method achieves an AUC of no less than 96.45%. The experimental results validate the effectiveness of our method in accurately detecting and initially localizing face tampering.