Reviewerly/exHarmony huggingface dataset:
Emotion Recognition in Complex Classroom Scenes based on Improved Convolutional Block Attention Module Algorithm

This study provides a deep learning-based intelligent recognition technology for student facial expressions in the classroom. This technology realizes the recognition of students’ facial expressions and provides a practical approach for classroom assessment and teacher improvement of teaching methods toward achieving smart education. An improved hybrid attention mechanism is designed for the student classroom. The facial expression recognition model addresses issues of instability in the recognition process of student facial expressions in the classroom, the high redundancy of parameters in traditional convolutional neural networks, and the long training time and slow convergence prone to overfitting. In the image modality data, this study proposes a hybrid attention mechanism in the deep neural network model before feature fusion to extract network features with stronger representational capability, enhance the prediction performance of deep neural networks, and improve the interpretability of the model. The improved hybrid attention mechanism is introduced into the deep neural network by modifying the convolutional block attention module with shortcut connections, deepening the network depth of the attention module and enabling it to learn the weight information among feature channels and spatial regions effectively. The proposed student facial expression recognition model achieves an accuracy of 88.71% on the publicly available RAF-DB dataset and an accuracy of 86.14% on the self-collected real classroom teaching video dataset. The proposed technology can be applied in the education field to evaluate student engagement automatically, provide personalized teaching guidance and learning analytics for teachers, and promote the development of intelligent education.
Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes

Self-supervised multi-frame depth estimation outperforms single-frame approaches by utilizing not only appearance information, but also geometric information. A common practice for multi-frame methods is to employ feature-metric bundle adjustment (FBA) to refine depth map initialized from the single-frame prior. However, FBA cannot always provide effective residual updates due to unreliable matching costs, which are corrupted by thin texture, occlusion, and especially object motion. To tackle this problem, we propose a context-aware transformer (CAT) to refine the corrupted matching costs by leveraging the spatial context information. Specifically, the CAT adaptively aggregates matching costs according to the spatial affinity inferred from local appearance context, and produces reliable contextual costs for FBA. Moreover, we design a motion-aware regularization loss to provide supervision for regions with moving objects, making CAT competent for dynamic scenes. Extensive experiments and analyses on the KITTI and Cityscapes datasets demonstrate the effectiveness and superior generalization capability of our approach.
Smoothing Outlier Scores is All You Need to Improve Outlier Detectors

We hypothesize that <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">similar objects should have similar outlier scores</i> . To the best of our knowledge, all existing outlier detectors calculate the outlier score for each object independently regardless of the outlier scores of the other objects. Therefore, they do not guarantee that similar objects have similar outlier scores. To verify our proposed hypothesis, we propose an outlier score post-processing technique for outlier detectors, called neighborhood averaging (NA) for neighborhood smoothing in outlier score space. It pays attention to objects and their neighbors and guarantees them to have more similar outlier scores than their original scores. Given an object and its outlier score from any outlier detector, NA modifies its outlier score by combining it with its <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula> nearest neighbors' scores. We demonstrate the effectivity of NA by using the well-known <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula> nearest neighbors ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula> -NN). Experimental results show that NA improves all 10 tested baseline detectors by 13% on average relative to the original results (from 0.70 to 0.79 AUC) evaluated on nine real-world datasets. Moreover, deep-learning-based detectors and even outlier detectors that are already based on <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula> -NN are also improved. The experiments also show that in some applications, the choice of detector is no more significant when detectors are jointly used with NA. This may pose a challenge to the generally considered idea that the data model is the most important factor. We open our code on www.outlierNet.com for reproducibility.
Multilingualism in cyberspace: a practical reality?

&#x0D; &#x0D; &#x0D; The loss of a language is often phrased in catastrophic terms despite the evolution of languages being a quite natural process. Here we discuss language loss and language use in the digital domain. We note that while English still dominates cyberspace, other languages are growing rapidly, so it seems likely that the future will not be monolingual but multilingual. We show that efforts to mandate the use of minority languages are unlikely to be successful and can backfire. The question therefore arises of how best to handle minority languages in the digital domain. This article argues that the best, and maybe the only, solution is high-quality machine translation.&#x0D; &#x0D; &#x0D;
Concept Mapping Analysis of Early Childhood Teachers' Experiences with Preservice Teacher Educational Practice

The purpose of this study was to explore the phenomenon and concept of teaching practice through the experiences of preschool teachers in supporting preservice teachers, to identify the potential structure of the concept and the degree of agreement, and to draw implications for teaching practice systems. Participants were 24 teachers with experience as practicum supervisors, working in public or private preschools in three metropolitan areas and one rural area. Teachers were interviewed in three groups to share their experiences of supporting teaching practice, and 50 statements were derived from the interviews and expert review. Multidimensional scale analysis and cluster analysis were conducted based on the participants' categorization of similarity and assessment of their level of agreement with the statements. The results were as follows. First, the conceptual map of kindergarten teachers' experiences of educational practice support was set to be two-dimensional, with the x-axis interpreted as 'relational growth and systemic limiting factors' and the y-axis as 'conflict and performance factors'. Second, the statements were organized into four clusters, which were named cluster 1, “Change together through reflection”, cluster 2, “Difficulties related to preservice teachers”, cluster 3, “Support for preservice teachers' pedagogical practice”, and cluster 4, “Needs for a support system for teaching practice. Third, teachers expressed higher agreement with statements in clusters 1 and 3 and lower agreement with statements in clusters 2 and 4. Teachers perceived difficulties in supporting preservice teachers and the need to improve the practice system, but they were more likely to agree that it was a positive experience in which they made a difference with preservice teachers through reflection and practice. This study found that teachers noticed the changes and growth that occurred in their experiences with support for teaching practice, focused on the support for teaching practice, and created concepts that encompassed dilemmas, challenges, and support systems. It also discussed implications for creating a vibrant teaching practice ecosystem that includes diverse actors in teaching practice.
Research on Ideological Teaching Practice of College English Listening and Speaking Course under the Optimized Teaching Model

College English Listening and Speaking Course is an important part of English undergraduate education in colleges and universities. It also undertakes the task of cultivating people’s morality. College students' English listening and speaking ability is one of the key abilities to be tested in the national CET-4 and CET-6 examinations. In the era of continuous development of information technology, it is necessary to reasonably use multiple foreign language learning platforms and explore new teaching ideas and high-quality teaching models of College English Listening and Speaking. Aiming at handling the problems in the teaching of listening and speaking, this paper aims to explore more optimized solutions in College English Listening and Speaking Teaching based on SPICM teaching mode and various foreign language learning platforms, so as to improve college students' English listening and speaking ability and improve their correct values and outlook on life.
Editorial of ARIS2 - Advanced Research on Information Systems Security, an International Journal

In the dynamic landscape of contemporary cybersecurity, an arena perpetually shaped by rapid technological advancements and an ever-expanding threat landscape, the significance of staying abreast of the latest research and innovative ideas cannot be overstated. In this era of constant change and evolving challenges, ARIS2 - Advanced Research on Information Systems Security stands resolute as a beacon, guiding scholars, practitioners, and enthusiasts through the intricate maze of cyber defenses and digital fortifications.
A Study on the Evaluation of Learning Performance of Teachers' Vocational Education

The ultimate aim of teacher's vocational education is to carry out the policy of setting up a moral tree and promoting the improvement of students' ability.In order to achieve comprehensive, real, scientific and effective performance evaluation, the design method of evaluation indicators can not be single, it must be diversified and multi-perspective.This paper analyzes the present situation of teacher's vocational education learning performance evaluation from three aspects: the purpose of performance evaluation, the subject of evaluation and the way of evaluation, and studies the performance evaluation mode from these three aspects.At the same time, it puts forward the way of mixed evaluation on line and on line, and designs the performance evaluation model by setting up the grading evaluation index and combining the conception of the cumulative item index.
Analysis of the Connotation of Digital Literacy and Related Literacy

With the ever-increasing advancements in digital technologies such as big data and artificial intelligence, the digital literacy of individuals has emerged as a crucial criterion for gauging international competitiveness and national soft power. Enhancing people's digital literacy not only stands as a strategic imperative to meet the demands of the digital era and elevate individuals' overall capabilities but also represents a pivotal approach to bridging the digital divide and fostering inclusive prosperity. In this context, this study delves into the essence of media literacy, computer literacy, information literacy, data literacy, network literacy, digital literacy, and AI literacy. Through a comparative analysis encompassing their origins, historical backgrounds, and defining characteristics, this research aims to achieve a comprehensive and profound understanding of digital literacy, laying a solid foundation for advancing its development.
Case Study for Improving the Operation of University Convergence Liberal Aarts Education

The purpose of this study is to explore ways to improve the operation of university convergence liberal arts education based on a case study of convergence liberal arts education at University A. A research method of in-depth interviews with professors who run convergence liberal arts courses was used, and experiences and opinions on convergence liberal arts education were collected and analyzed. Through this, we sought to develop more progressive convergence liberal arts subjects and explore ways to improve and support convergence liberal arts education. The study analyzed the characteristics and operating system of University A's convergence liberal arts education, the operating method and teaching methods of convergence subjects, and interactions with students, and sought ways to revitalize convergence liberal arts education. In conclusion, the need for a database of convergence materials and cases for instructors, a convergence education program for instructors, a regular opinion listening system for educational support, and efficient collaboration among instructors who discuss textbooks and teaching methods and participate in subject development together is presented.
A Case Study of Learning Facilitator Operations in Learner-Centered Instruction Using Innovative Teaching Methods: Focusing on the Case of Learning Facilitator Support Program at University A

This study aims to propose strategies for effective implementation and dissemination of learner-centered innovative teaching methods, as well as efficiency and quality management in large-scale instruction. To achieve this, we analyzed the case of A University's Learning Facilitator Support Program, and the findings are as follows: The Learning Facilitator Support Program has proven to be effective in facilitating the operation of classes with a large number of students. And, it has demonstrated a positive impact on academic performance. Therefore, it is concluded that strategies are needed to enhance the program's effectiveness in managing and improving the quality of instruction. These strategies should include institutional improvements at the school level, enhancements to the learning environment, improvements in operational methods and sharing strategies at the CTL level.
Analysis of Research Trends for Convergence Class in the Korean Language Education

The purpose of this study is to examine the current status and research result by analyzing the trends of convergence research in Korean language education and to suggest future research directions. To achieve this, 72 articles were analyzed among the papers published until June 2023. The convergence types of Korean language education and other areas was analyzed in terms of 1) the degree of level and core elements 2) teaching methods 3) learners. As a result of the analysis, 38 articles(52.8%) of Korean language education and literature were integrated, 20 articles(27.8%) of convergence with cultural areas and 14 articles(19.4%) of convergence with content areas. In the case of convergence level, there were 57 interdisciplinary convergence(79.2%), only 15 multidisciplinary convergence(20.8%), and there were no transdisciplinary convergence. And the analysis of teaching methods, it was found that research on interdisciplinary convergence was more than multidisciplinary convergence, and more research was conducted on language functions than experiencecentered teaching methods. Lastly an analysis of teaching and learning subjects, it was confirmed that research was largely conducted with foreign learners, major students, language school learners, multiculturalism, and overseas Koreans.
Case Study of AI Interview System Experience: Focusing on the Competency Evaluation between AI interview Systems

The purpose of this study is to present an AI interview education plan by comparing and analyzing the competency analysis method and its pattern between AI interview systems. To this end, three college students preparing for employment were asked to experience the AI interview system to analyze the competency results and conduct interviews and surveys after the experience. Three AI interview systems were selected that can be easily accessed by learners for free, are not complicated to subscribe and use, and can directly check the analysis results. The characteristics, strengths, and weaknesses of each system were presented, and the method of presenting competency evaluation between systems was analyzed. Participants learned the importance of using professional vocabulary and competency vocabulary in AI interviews. They answered that their anxiety and fear of AI interviews decreased through experience, and suggested the need for practical education such as AI interview system experience education and specific feedback.
A Study on the Experience of Pre-service Teachers‘ Research Activity Participation: Focusing on the Case of K University’s Educational Research Support Project

The purpose of this study is to explore pre-service teachers’ participation experience in research activities and identify how such research participation has enhanced the level of their teacher competency. A total of nine students who participated in the K University‘ s educational research support project were interviewed and qualitative analysis was conducted, and the main results are as follows. Pre-service teachers experienced cultivation of communication skills, cooperation skills, and problem-solving skills through research activities. In cultivating communication skills, role distribution through dialogue and compromise, topic selection through listening and persuasion, and fierce adjustment of opinions in the content revision stage were confirmed. Moreover, Experiences of collaboration include sharing common purposes, narrowing the gap in thoughts through exchange of opinions, and interaction with advisors through question-and-answer. In addition, Experiences of cultivating problem-solving skills include facing difficulties during the research process, overcoming difficulties during the research process, and generating power to overcome difficulties during the research process.&#x0D; Based on these research results, it was suggested to conduct further research on investigating the motivation for participating in educational research support projects, reorganize the target capabilities of educational research support projects, and prepare an alternative curriculum that can utilize the advantages of research activities.
List of Reviewers for this Special Issue

Journal of Management StudiesVolume 61, Issue 1 p. 269-271 List of Reviewers List of Reviewers for this Special Issue First published: 07 December 2023 https://doi.org/10.1111/joms.13030Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume61, Issue1Special Issue: Organizational Goals, Firm Outcomes and the Assessment of Performance: Reconceptualizing Success in Management StudiesJanuary 2024Pages 269-271 RelatedInformation
The reliability and validity test of moral opportunity identification and creation ability of primary school teachers

Taking the ability of moral education opportunity identification and moral education opportunity creation as the first-level indicators; "parallel identification", "teaching identification", "environment identification", "explicit identification", "school driven situation" and "teacher guided situation" as the secondary indexes, the reliability and validity of the scale of 24 questionnaire questions in six second-level indicators are tested. The reliability test was carried out by SPSS software, and Klonbach coefficient of the whole questionnaire was obtained. On this basis, with AMOS, the software tested the structure validity, aggregation validity, and differentiation validity, and obtained the average variance extraction of each dimension and RMSEA, GFI, AGFI, CFI, IFI, and TLI of the model. The analysis results show that the six dimensions have good reliability and validity, which can be used as a reference to test the ability of primary school teachers' moral education opportunities.
Research on Education Reform and Teaching Practice Innovation in Application-Oriented Universities

This article discusses the importance of teaching practice innovation by analyzing the current status and problems of applied university education reform. It points out challenges such as the disconnect between knowledge and practice, and the mismatch between curriculum content and industry demands. In the section on the importance of teaching practice innovation, it explores ways to enhance students' practical skills and adaptability through practical projects, internships, and social practice. In the section on measures for teaching practice innovation, it proposes feasible measures such as collaborative programs and interdisciplinary teaching organization. The conclusion looks forward to future development directions and challenges, emphasizing the need to strengthen efforts from all parties to promote the development of applied university education. This article aims to provide reference and inspiration for applied university education reform and teaching practice innovation.
Innovative Methods and Applications of Chemical Education Based on Modern Science and Technology

With the rapid development of science and technology, the traditional ways and methods of chemical education are facing challenges. The purpose of this paper is to explore the innovative methods and applications of chemistry education based on modern science and technology, and to analyze its impact on students' learning effectiveness and interest. Through literature review and empirical research, we find that the use of virtual experiments, interactive simulation software, remote experiments and other modern scientific and technological means can stimulate students' interest, enhance the learning effect, and cultivate students' experimental skills and innovative thinking. This paper also puts forward the implementation strategies of the innovative methods of chemistry education, including the role change of teachers, the optimal design of teaching materials, and the updating of curriculum content. Finally, we verify the effectiveness of these methods through teaching practice cases, and explore the future development direction of chemistry education innovation.
A Study of Instructor Perceptions on the Evaluation of Korean Language Learners in University General Education Classes

The purpose of this paper is to investigate and analyze instructors’ perceptions of learner evaluation in university Korean language class as a general education course and derive implications. To this end, an interview survey was conducted with five instructors. According to the results of analyzing the instructors’ perceptions, first, it was revealed that in terms of setting the examination by the instructors on their own, they say that making the listening test is a great burden on them. In addition, the instructors were not sure about the difficulty and validity of the tests they presented. And the feedback is not properly given after the completion of the comprehensive evaluation at the end of the semester. Furthermore, it was found that the evaluation needs to reflect the characteristics of Korean for academic purposes. In conclusion, for the evaluation, it is necessary for the instructors to interact actively, and it is needed to discuss the results of the survey on their perceptions in detail afterwards.