Research on the Employment Competitiveness of Students in Independent College from the Perspective of Transformation

Students in independent colleges are facing fierce competition in employment. The transformation and development bring both great opportunities and new challenges. Based on the objective understanding of the present situation of students’ employment in independent college, the paper interprets multi-dimensionally the connotation of students’ employment competitiveness, using the EFE Matrix on the evaluation of the independent college students’ employment environment , and the SWOT Matrix on the analysis of advantages and disadvantages of the independent college students’ employment competition, putting forward dynamic ways of effective enhancement of the independent college students’ employment competitiveness under the viewpoint of transformation, moreover, promoting independent college students’ employment in light of the new situation

Multiple Users’ Experiences of an AI-Aided Educational Platform for Teaching and Learning

This chapter aims to provide a better understanding of how AI technology can be used to assist in teaching and learning at schools. The Smart Learning Partner (SLP) educational platform is based on AI technology to provide new possibilities for individualized learning and more educational resources. We used a case study approach to investigate how this AI-aided SLP platform helped to assist in teaching and learning from the multiple users’ perspectives of students, teachers, and the principal at a Chinese school. This chapter starts with a description of AI used in education and learning. The AI-aided SLP educational platform is then presented to illustrate in what ways it works to assist in teaching and learning. Based on the users’ self-reported experience, this platform can support students’ learning by providing students with individualized diagnostic feedback and assessments as well as information about the progress of their learning. In addition, students receive recommendations of micro lectures from the platform to aid improvement based on the students’ assessment results. Additionally, students can also access various micro lectures according to their interests. This platform provides teachers with reports of real-time learning situations and progress at the individual or class level. Accordingly, teachers can better adjust their pedagogical decision and teaching according to the students’ needs. The principal used the information to allocate resources and assist in curriculum planning at school. In conclusion, all users positively stated that this AI-aided SLP platform assisted in teaching and learning at school even though there were still certain challenges. At the end of the chapter, recommendations for the future platform design are offeredPeer reviewe

Teachers’ and Students’ Views of Using an AI-Aided Educational Platform for Supporting Teaching and Learning at Chinese Schools

In Chinese schools in less advanced places, there is an urgent need to improve the quality of education and educational equity. This study aims to investigate how an AI-aided educational platform can be used to provide additional teaching and learning resources to serve this need. The AI-aided educational platform used in this study is called Smart-Learning Partner (SLP), which is based on AI technology to provide new opportunities for personalized learning and more educational resources. A qualitative research method was applied in this study. We interviewed and surveyed 98 students and 32 teachers at 9 Chinese schools located in less developed areas. We used content analysis to interpret the findings based on students’ and teachers’ experiences of using the SLP platform. The data demonstrated that this kind of AI-aided educational platform was viewed by students and teachers as a useful tool in students’ learning and teachers’ work. It provided additional possibilities to students and teachers with its rich assessment tools, personalized and overall student learning analysis reports, plentiful high-quality mini-lecture videos, and recommendations from the platform based on the students’ needs for further enhancement study. However, challenges still exist. Adequate electronic devices for students are needed, especially in schools in less developed areas. Students and teachers called for user-friendly interfaces and features, social interaction aspects, and gamification mechanisms with recent online learning platforms. We conclude that based on the teachers’ and students’ views, AI-aided education platforms are useful tools for supporting teaching and learning in Chinese school

A Disentangled Representation Based Brain Image Fusion via Group Lasso Penalty

Complementary and redundant relationships inherently exist between multi-modal medical images captured from the same brain. Fusion processes conducted on intermingled representations can cause information distortion and the loss of discriminative modality information. To fully exploit the interdependency between source images for better feature representation and improve the fusion accuracy, we present the multi-modal brain medical image fusion method in a disentangled pipeline under the deep learning framework. A three-branch auto-encoder with two complementary branches and a redundant branch is designed to extract the exclusive modality features and common structure features from input images. Especially, to promote the disentanglement of complement and redundancy, a complementary group lasso penalty is proposed to constrain the extracted feature maps. Then, based on the disentangled representations, different fusion strategies are adopted for complementary features and redundant features, respectively. The experiments demonstrate the superior performance of the proposed fusion method in terms of structure preservation, visual quality, and running efficiency