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This paper presents a case study: a collaboration between an artist, a senior lecturer in engineering, and two faculty members from teaching and learning. It showcases how we, as a consortium are 1) using origami in university STEM teaching as a way of enhancing and promoting arts-based STEAM learning within the contexts of creativity, play, exploration, and learning from failure and 2) charting these processes within a broader interdisciplinary contribution to teaching and learning. As a result of our collaboration, we suggest a new shorthand of 'makerlearning' which captures both the physical maker elements underscored with a carefully considered pedagogy. The process of applied making provides a space where the "gap between disciplines...can be bridged" (Troxler, 2017, p. 13). We are striving for a reframing of invention and innovation within and beyond educational context and contend that "individuals are not creative, ideas are creative" (Clapp, 2016, p. 3). Although our case study focuses on the discipline of engineering, we argue that makerlearning and artistic approaches to understanding complex concepts can be applied across disciplines and extend beyond the classroom into community and industry settings. [ABSTRACT FROM AUTHOR]

The European Higher Education Area has ushered in a significant shift in university teaching, aiming to engage students more actively in classes. Professors have leveraged virtual platforms and external tools to introduce interactive tasks. With the proliferation of technology, educators face a challenge in choosing the most suitable approach. This paper presents SMART (Selection Model for Assessment Resources and Techniques), a methodology that determines the optimal assessment activities for university-level education. The methodology employs multicriteria decision-making techniques, specifically AHP and TOPSIS methods, to optimize activities based on various subject-, lecturer-, activity-, and student-related criteria. According to SMART, the top five assessment tasks are group and individual report submissions, workshops, complex H5P activities, and questionnaires. Therefore, it is advisable to prioritize these activities based on the methodology's results, emphasizing their importance over other assessment methods. [ABSTRACT FROM AUTHOR]

Having teaching staff with didactic qualifications in university teaching leads to a measurable improvement in academic skills among students. Previous recommendations on the type and scope of medical didactic qualification measures primarily apply to teaching staff at university and in-patient settings. The situation of primary care medicine, which often employs external lecturers and whose teaching takes place to a considerable extent in decentralized training facilities (teaching practices) is not adequately addressed. Taking into account a survey on the status quo at higher education institutions for General Practice in Germany, recommendations for min- imum standards are made, based on national and international recom- mendations on the content and scope of medical didactic qualification measures. These recommendations include preliminary work by the Personnel and Organizational Development in Teaching (POiL) Committee of the Society for Medical Education (GMA), the MedicalTeachingNetwork (MDN), the Society of University Teaching Staff in General Medicine (GHA) as well as the experiences of the committee members, who hail from the field of general medicine, internal medicine and pediatrics amongst others. [ABSTRACT FROM AUTHOR]

Copyright of VLC Arquitectura is the property of VLC Arquitectura and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Teachers have used many different techniques in efforts to augment engagement given the strong engagement-learning link. Teacher-student contact is one of the most effective tools for fostering engagement; however, some teachers find it hard to initiate contact in a way that seems natural. I present one method of initiating student-teacher contact: replying individually by e-mail to students' concerns raised in one-minute papers. I argue that, although this technique may require a greater time-commitment, the effort is worthwhile; it allows teachers to gauge and address students' misunderstandings effectively, and, at the same time, it can help teachers to establish contact with students in large classes or with quieter students and even help uncertain teachers to establish contact in a natural way. [ABSTRACT FROM AUTHOR]

Announces 1994 congresses and conventions on teaching history, literature and culture in colleges. Calls for submission of articles and proposals on various topics related to teaching; The Carolinas Symposium on British Studies; Young Rhetoricians' Conference; Society for Utopian Studies conference; Membership to the National Council of Teachers of English (NCTE) Committee on Grading of Student Writing; More.

In order to improve the safety of college physical education resources recommendation and reduce the test overlap rate and resource exposure rate, a personalized recommendation method of college P.E. teaching resources based on cognitive diagnosis model is proposed. A cognitive diagnosis model based on multi-level attribute score is designed to model students' resource mastery level according to existing answers and the relevance of knowledge points. The knowledge mastery attribute model of the tested students is used for probability matrix decomposition to predict the students' answers, and make corresponding resource recommendations according to the score prediction and resource difficulty. Experiments show that resource exposure value of the method in this paper is lower than 1, and its security is high. Regarding the experiment of overlapping indicators, the value of the test overlap rate of the method in this paper is always lower than 0.01, and the recommended resources are more accurate. The F1 value of the method in this paper is up to 0.98, and the deviation of resource recommendation is small. And the real-time performance is high after the method is applied, and the phenomenon of cold start will not occur. [ABSTRACT FROM AUTHOR]

Networked education represents a development direction of educational reform, has become a feature of modern education, and has formed a new impetus to the development of education. The change from paper-and-pencil examinations to computer network-based machine examinations is not only a reform of the content and form of the University English Level 4 and 6 examinations, but also a reflection of the reform of the comprehensive assessment system and teaching philosophy of University English teaching. Promoting the development and construction of online college English examination systems in universities, applying machine examinations to various types of tests and formal examinations for college English teaching, and updating the college English question bank through continuous accumulation of professional teachers will have very high research value and practical value in improving the quality of examinations and promoting the standardization of college English examinations. In order to show the individualized chemistry report simultaneously, it is necessary to further ask relevant subject experts, educational measurement experts, and front-line teachers to expand the question attributes; that is, the question attributes extend to module specific knowledge points, cognitive levels, and information literacy ability levels, while most of the pages are combined with Ajax technology to reduce hardware resource dependency and optimize software performance. The paper analyzes the requirements analysis and overall design of the online college English examination system, including the design objectives, design principles, functional design, core algorithm design, architecture design, database design, and security design. The main functions of the online college English examination system, such as personal information management, question bank information management, test paper grouping management, online examination management, paper marking management, and system setting management, are discussed in detail. The main functions of the system, such as personal information management, question bank information management, test paper grouping management, online test management, mark and approve management, and system setting management, are discussed in detail, and the performance test and some function test of the system are also briefly discussed. The whole research process involves the identification of test questions and their attributes in the construction of the question bank, the construction of the adaptive test system, the comprehensive analysis of the mock test results, and the thinking about the application of the high school adaptive academic level test. [ABSTRACT FROM AUTHOR]

How can learning situations build on students' lived experiences? Two techniques, the experience paper and the dialogue paper; enable students to connect their experiences with an organizational behavior course. In the experience paper; students write about their experiences of leading, being motivated, working in groups, being empowered, and acting in situations of power and change. The effects of the technique on the professor; the students, and the dynamics of the class learning are detailed. In the dialogue paper; students use relevant theorists to illuminate their experience. The two techniques build on each other Adaptations for use with large classes are described. [ABSTRACT FROM AUTHOR]

This paper illustrates how unbundling has progressed from university-controlled approaches to incorporating partnership organisations into the delivery of university functions, specifically teaching. In this paper, we limit the scope of unbundling to the management of online teachers using three Australian case studies. In the first section, we review the literature for reasons that support unbundling the teaching approach, the effectiveness of this approach, and criticisms posed. Then we use aspects of the literature to present an unbundled teaching hierarchy. We use three examples from the hierarchy in the context of three Australian case studies that are illustrative of how online teachers are managed in Australian higher education. As discussed in this paper, the opportunities and challenges associated with unbundling university teaching have implications for the quality of the student experience, teacher experience, and cost effectiveness for institutions. [ABSTRACT FROM AUTHOR]

To establish a student-centered teaching quality assurance system in English teaching in universities, it is necessary to establish an educational philosophy of survival based on quality, achieve student-centered learning, optimize the allocation of English teaching resources, and reform evaluation standards; To address the problems in English teaching, we need to raise awareness of the construction of a "student-centered" teaching quality assurance system, carry out "student-centered" teacher training activities, and improve teachers' professional skills; At the same time, we will establish a student-centered English curriculum system, promote the reform and innovation of teaching models, establish a diversified English teaching evaluation system, and ensure the high efficiency and quality of English teaching in universities. The college English teaching quality evaluation is the MAGDM. Recently, the TODIM and MABAC technique has been employed to manage MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are employed as a useful tool for portraying uncertain information during the college English teaching quality evaluation. In this paper, the interval-valued intuitionistic fuzzy TODIM-MABAC (IVIF-TODIM-MABAC) technique is built to manage the MAGDM under IVIFSs. At last, the numerical example for college English teaching quality evaluation is employed to show the IVIF-TODIM-MABAC decision technique. The main contribution of this paper is outlined: (1) the TODIM technique based on MABAC has been extended to IVIFSs based on Entropy technique; (2) the Entropy technique is employed to manage weight based on score values under IVIFSs. (3) the IVIF-TODIM-MABAC technique is founded to manage the MAGDM under IVIFSs; (4) a numerical example for college English teaching quality evaluation and some comparative analysis is supplied to verify the proposed technique. [ABSTRACT FROM AUTHOR]

Under the background of national fitness, aerobics has become a popular sport. Aerobics has a good fitness effect and is one of the compulsory courses of physical education. But it also puts forward higher requirements for College Aerobics Teaching. The traditional teaching method is no longer applicable. In order to improve the teaching effect of aerobics, this paper puts forward the research of College Aerobics Teaching Method. In this paper, the traditional Aerobics Teaching Methods and the current popular information teaching mode are analyzed in detail. Through the comparison, the traditional aerobics teaching process is too boring to stimulate students' interest. But after the use of information technology teaching, students' self-learning ability has been improved. In the study of the effect of traditional teaching mode and information-based teaching mode, this paper makes relevant experimental investigation. The physical fitness of the experimental group was P > 0.05. There were significant differences in basic physical qualities such as push-ups, rope skipping, and flexibility between the two groups (P < 0.05).The experimental data show that the use of information-based teaching mode is more conducive to students' accurate grasp of action points, and because of the retrospectivity, students can consolidate knowledge and practice themselves more conveniently. The research of this paper promotes the innovation of traditional education, complements and promotes each other with traditional education, and creates greater learning and exploration space for students, in order to contribute to the construction of aerobics courses in colleges and universities. [ABSTRACT FROM AUTHOR]

At the heart of the neoliberal university, affective energies linked to roles, responsibilities, expectations, policies, and bodies impact the atmosphere of university life. Associate professors report the highest levels of dissatisfaction among all ranks, as they find themselves entangled in affective knots. To understand these knots in associate professor lifeworlds, we solicit their accounts and reveal affective pain points in the neoliberal university. In this paper, we illuminate the affective knots of melancholy, stasis, and death, giving voice, feeling, and texture to associate professors' dissatisfaction within the neoliberal institution. However invisible, these affective knots threaten the university's teaching, learning, scholarship, and social transformation. [ABSTRACT FROM AUTHOR]

Student evaluations of college teaching have been endorsed and criticized for as long as they have been used as part of important decision-making practices in higher education. With the growth of distance education, the need for alternative approaches for these assessments has increased. We were interested in the extent to which outcomes were comparable across in-class and on-line course evaluations. We conducted a randomized controlled trial across 7 colleges, 25 departments, and 41 instructors at a large urban research university in the southeastern part of the United States. The distribution of ratings across demographic and comparison groups was similar. Response rates were lower for students participating online; however, none of the scale score differences between groups exceeded an effect size .21 and the estimated benefits were large. We discuss the advantages and disadvantages of alternative approaches for evaluating instruction in the context of past, current, and future research and practice. [ABSTRACT FROM AUTHOR]

The fastest development of technologies encourages computer multimedia-oriented education. Nowadays, information technologies create human basic abilities. College English teaching mode reform based on computer multimedia is the aim of the paper. Generally, computer multimedia technologies oriented college English education merging pictures, videos, audio, vocabulary, and animation. We described the development of multimedia in English teaching mode, applications of college English teaching, a novel model of foreign language teaching in the classroom and a computer, computerized English language teaching method TPACK design, and the latest architecture of college English language teaching based on computers in this paper. We are discussing face-to-face teaching, language lab autonomous learning room, network teaching area in multimedia, and network teaching circumstances in this paper. This paper evaluated wireless communication's range, challenges facing college English teaching, comparative analysis of attitude, comparative analysis of curriculum, and comparative analysis of technology. We express that, from the year 2000 to the present, the technologies in wireless communications with computer multimedia are developing in the range of wireless communication. [ABSTRACT FROM AUTHOR]

In order to improve the advanced nature of teaching management mode in colleges and universities, this paper analyzes the teaching management process in colleges and universities combined with intelligent speech recognition technology. For the dataset of linear teaching speech information distribution, in the case of overlapping of various datasets, this paper finds the overlapping points of various datasets through an algorithm. Moreover, this paper makes full use of the known information to find a vector that can equivalently represent the linear teaching speech information where each data point is located. After that, this paper takes it as the feature vector of each data point and then performs clustering through spectral clustering to obtain the clustering result. The experimental research results show that the model in this paper has a good effect on speech recognition in college teaching, and the model in this paper has a good role in promoting teaching management in colleges and universities. [ABSTRACT FROM AUTHOR]

At the same time that my country has shifted from high-speed development to high-quality development, my country has also put forward new requirements for education development. Due to the limited study time during college, each student's study habits and learning process are also different, and the degree of connection between tennis lessons is high, so there will be polarization when learning tennis. With the development of science and technology, more and more technological innovations are integrated into the classroom, and traditional teaching methods can no longer keep up with the pace of the times. Tennis teaching is a subject of equal proportion between theory and practice. The traditional teaching method simplifies the theory, which makes students to have some bad phenomena when they practice. Aiming at this series of problems, this paper uses algorithms such as softmax function and threshold function to construct an application model of virtual image technology based on the artificial neural network in tennis teaching. The research results of the article show that: (1) the average accuracy rate of the method in this paper is 97.22%, and the highest accuracy rate is 99.17%. The average accuracy rate also tends to increase with the increase of sample size; the recall rate is the highest, and the highest recall rate is 99.36%. The average recall rate is 96.77%; the highest correct rate is close to 100% and is significantly higher than the other three methods; the average correct rate reaches 98.8%; the response time is the shortest; the average response time is 33 ms; and the response time increases with the increase of the sample size. (2) After using this model, tennis skills have been improved, with an average of 12 in situ flips, an average of 7 in situ rackets, an average of 5 in situ forehand draws, and an average of 3 in situ backhand draws. (3) The average forehand and backhand scores of the class after the experiment were 90 and 86; the average forehand and backhand stability were 8 and 7; and the average forehand and backhand accuracy were 31 and 29, respectively. The average depth of forehand and backhand is 36 and 32. (4) Most of the students are satisfied with this model, and they all choose to strongly agree and relatively agree, and the percentage of very agree that helps stimulate learning has reached 60.52%, and no students choose to disagree very much. [ABSTRACT FROM AUTHOR]

Smart classroom is based on information technology, and its operation, upgrading, and development need technical support. At present, most of the smart classroom teaching adopts traditional architecture, highlighting the characteristics of disciplines, insufficient data processing, and narrow application fields. Based on this, this paper studies and analyzes the application of Internet of things architecture in college smart classroom teaching analysis. Based on the simple analysis of the development of intelligent algorithms and smart classrooms of the Internet of things, this paper constructs a smart classroom system based on the architecture of the Internet of things, transfers it to information-based teaching, introduces an intelligent service platform, and uses intelligent algorithms to mine and cluster data. The core algorithm is improved based on K-means algorithm and grid algorithm to improve the pertinence and effectiveness of the algorithm. Through the simulation results, the improved clustering analysis algorithm can shorten the running time and improve the clustering effect. At the same time, the application test results of the algorithm also show the superiority of the clustering results, which can provide more strategies for later teaching. [ABSTRACT FROM AUTHOR]

Though late in breaking into the predominantly male profession of university teaching, women are entering university faculties in greater numbers every year. Because they come into higher education teaching with newly-minted Ph.D.'s, females enter the system at the Assistant Professor level, and—like their male colleagues—are expected to become adept at the tripartite tasks of teaching, scholarship and service within the first seven years of employment in order to be recommended for tenure and/or promotion. However, both overt guidelines for promotion and tacit expectations in almost all colleges and universities place highest value on faculty ‘proving their worth’ through publication of scholarly work in high status or at least refereed journals, books and professional periodicals. Even tenured faculty must climb higher on the scholarship ladder if they wish to be considered for promotion. The popular admonition, ‘Publish or perish,’ is evidenced in denied applications for tenure and promotion or termination of employment. Though women can and do contribute world-class scholarship in published formats, the disproportionately higher numbers of males who attain the full professor rank compared with females in that rank still points to an imbalance in the gender/scholarship equation. This paper explores the reasons why many women on the faculty may choose to expend more energy on teaching and service, impinging on their time to do significant research outside of the daily hours they devote to teaching and service to their colleges. It compares definitions of university level scholarship and explores why many important women's contributions to change agency are devalued as ‘service’ because they do not fit the strictest interpretation of scholarship as professionally and publicly validated work. [ABSTRACT FROM AUTHOR]

Lists books and other related resources on college teaching, which appeared in the September 2004 issue of "Critical Inquiry."

The development of music teaching mode in colleges and universities needs to take music as the main body and carrier to spread and inherit the music theory system. With the continuous innovation and development of science and technology, the teaching mode and teaching system have also ushered in new changes. How to let students understand the process of music teaching and better appreciate the charm of music is the main problem faced by educators. Faced with the above situation, starting from the theory of multiple intelligences, this paper studies the innovation and discrete dynamic modeling of music teaching mode in colleges and universities. Firstly, this paper discusses the application effect of this method in music teaching based on the theory of multiple intelligences. This paper investigates the actual development of multiple intelligences theory in college music teaching. Combined with the characteristics of multiple intelligences theory, modeling and analysis of students' interest changes in the intelligent music education model represented by the space vector model are carried out. Finally, this paper studies the discrete dynamic modeling of students' learning effect after the optimization and innovation of music teaching mode in colleges and universities under the theory of multiple intelligences. The results show that in the innovation of music teaching mode, personalized learning services should be provided based on students' interests. The theory of multiple intelligences can help teachers to effectively analyze the diversity characteristics and changes of students in teaching activities, and it is of great help to improve students' musical performance. [ABSTRACT FROM AUTHOR]

There are many disadvantages in traditional English teaching. In order to solve these problems, multimodal teaching mode is applied to college English teaching. This paper combines the similarity model with English multimodal teaching and puts forward corresponding teaching methods based on the current situation of students' English learning. This paper studies the multimodal similarity learning method, defines different relation vectors according to different physical or semantic meanings contained in sample data, and transforms the calculation of single-modal similarity between samples into the calculation of multimodal similarity between samples under different relations. Based on the multimodal discourse analysis theory, this paper explores the influence of multimodal teaching mode on students' English achievement and attitude by combining quantitative research with qualitative research, so as to verify the effectiveness of this teaching mode. The results show that this method is effective and feasible. The application of multimodal teaching mode in English classroom can have an important influence and has far-reaching research significance. The research in this paper has certain reference value for innovating English teaching mode and improving students' English achievement. [ABSTRACT FROM AUTHOR]

Connotative development of higher education is of great significance in China. To promote this endeavor, this paper has established a connotative teaching system based on the Kano model and has applied it in the teaching of statistics. Guided by the fundamental demands of students, this system is built from the four perspectives, including students, third-party evaluation institutions, schools, and morality and law. It also takes the advantages of the Kano model, featuring the three dimensions of essential demand quality, expected demand quality, and charismatic demand quality. The paper also describes a two-year experiment to test the effect of the Kano-model-based connotative teaching system. It has collected more than 200 effective samples and compared the performance of students in private colleges. The results are as follows: the connotative teaching of statistics guided by the Kano model can meet the demands of students in private colleges and improve their comprehensive scores. This model shows remarkable performance and will promote the reform on connotative teaching. [ABSTRACT FROM AUTHOR]

Copyright of Educación XX1 is the property of Editorial UNED and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigaciones Geograficas is the property of Universidad de Alicante, Instituto Universitario de Geografia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Scholarship of teaching and learning (SoTL) is central to improving teaching, enhancing students’ learning experiences and ensuring practice is evidence-based. This study explores the insights gained by applying an academic literacies lens to the results of professional development initiatives (programmes, schemes) designed to enhance features of faculty colleagues’ SoTL skills. A scoping review was conducted on Journal of University Teaching and Learning Practice (JUTLP) papers published from 2004-2023. Developing teaching practice is a central theme of JUTLP and the papers published across this timeframe provide a rich source from which to explore initial insights as a first step to potentially deeper explorations. The review identified four themes emerging from the qualitative data captured across the review sample: meaning-making together; journey of becoming; flattening of power; and context-specific identities. The analysis points to reasons why collaborative meaning-making opportunities are so valued within professional development initiatives. The academic literacies lens highlights issues of discourse, power, epistemology and identity, and consequently illuminates these collaborative moments as spaces that provide a knowledge and identity-based anchor for colleagues. This lens also stresses the destabilising and emotive nature of ‘becoming’ a pedagogic scholar. Implications of the findings are considered from an academic development perspective. Discussion centres particularly on how academic developers may work to support rather than jeopardise colleagues’ future SoTL trajectories. [ABSTRACT FROM AUTHOR]

An essay is presented focusing on the 39th annual Standing Conference on University Teaching and Research on the Education of Adults, which was held at the Downing College of Cambridge, between July 7-9, 2009. Information about several papers discussed at the conference are also presented. It comments that the success of the conference is often determined by how well the papers that are paired lead to effective discussion.

The Internet of Things (IoT) and artificial intelligence (AI) have promoted teaching reform while improving people's lives. Under the new teaching environment, the position of physical education (PE) teaching in the teaching work has become increasingly prominent. At present, there are some problems in the PE teaching mode of most colleges and universities, such as poor teaching environment, unstable teaching data, and lack of technical support for the teaching system. This also leads to the low quality of PE teaching and unsatisfactory teaching results. In this paper, IoT and AI are combined to study the application mode of innovative practical teaching in college PE. This paper first constructs a physical education teaching system based on the Internet of Things, then summarizes the necessity of artificial intelligence technology participating in the reform of physical education classroom teaching, and gives a specific teaching application model. Finally, based on the golden sine algorithm-optimization neural network, the application model of college physical education in this paper is evaluated. Through experiments and investigations, the new teaching mode improves the teaching efficiency by 14.7%, improves the teaching quality, and provides reference for the next development of IoT and AI in teaching. [ABSTRACT FROM AUTHOR]

This paper is product of a hermeneutic-documentary exploration, which aims to specify the work of the university and university teaching in the current context. To achieve this end, the historical-conceptual origins of the university are indicated, marked by ecclesiastical influences, but which, with their development, gave space to increasingly broader knowledge, gaining the legitimacy of society, manifesting an autonomous structure, independent of the power of the State, the church and private enterprise. However, in recent times, the constraints of global society have distanced the university from its relationship with the community, locating it in utilitarian dimensions, for which it is required to rescue its primary sense, of a university focused on the progress of science and in the resolution of social conflicts. However, this is only possible to achieve with effective university teaching, challenging, promoting critical thinking, democratic and committed to citizen education. [ABSTRACT FROM AUTHOR]

Improved SVM algorithm improves the efficiency of College English teaching effect evaluation and meets the requirements of College English teaching evaluation. Based on the relevant theories, this paper constructs the evaluation index system with teachers and students as the main body and takes the questionnaire survey results as the input samples of the LSSVM algorithm. Compared with the evaluation accuracy of an optimized BP neural network and the category weighted gray target decision-making method, the results show that the evaluation accuracy of optimized LSSVM algorithm is 96.26%. Taking SIT as an example, this paper uses the optimized LSSVM algorithm to evaluate its teaching effect and obtains that teachers' literature and teaching contents are important factors to improve the effect of English teaching. Therefore, this paper introduces the intelligent voice system to optimize the English teaching design of SIT. The teaching design is optimized from the dimensions of teaching objectives, learning situation, teaching content, teaching media and curriculum materials, and teaching procedures. [ABSTRACT FROM AUTHOR]

Due to increasingly global cultural exchanges, people are more conscious about the importance of mastering a foreign language. Language translation and helping students in the colleges with their learning abilities to master one or more languages using computer-aided translation and training system has become an important research. Intelligibility is one of the most important indicators for translation evaluation of Chinese language spoken by English learners, but there is a big gap between the automatic translation intelligibility score and the human expert score. Based on this concept, this paper addresses the existing challenges faced by translation detection software to analyze their limitations and characteristics, especially related to learners' Chinese translation experience. To enhance translation recognition accuracy, we employ a data mining approach to identify imaging factors associated with incorrect translation by college students. First, we develop a data mining recognition and detection method, leading to improved accuracy in translation recognition by utilizing association specification and classification. The classifier is then utilized to distinguish various types of translation errors, while also incorporating a translation intelligibility evaluation to provide error correction feedback to learners. The proposed model outperforms standard translation methods and alternative approaches, achieving impressive identification accuracy (94.58%), efficiency (88.12%), and a low missed detection rate (5.32%). Moreover, it significantly reduces the translation mistakes, including grammatical (5.21%), semantic (3.45%), and contextual (2.18%) errors. The support vector machine (SVM) classifier outshines artificial neural network (ANN) classification in error detection, and the suggested scoring system demonstrates its superiority with the highest average correlation coefficient (0.822) compared to expert scoring. Experimental results confirm the improved accuracy and effectiveness of the proposed translation recognition and detection method. [ABSTRACT FROM AUTHOR]

Copyright of REICE. Ibero-American Journal on Quality, Effectiveness & Change in Education / REICE. Revista Iberoamericana Sobre Calidad, Eficacia y Cambio en Educación is the property of Red Iberoamericana de Investigacion sobre Cambio y Eficacia en Educacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: This study aims to evaluate the current state of sustainability education and research capacity at engineering faculties. More specifically, this research is intended to provide new and much-needed information about sustainability knowledge, teaching and research activities. Design/methodology/approach: The first method used is a questionnaire survey completed by teachers and researchers about their activities dealing with sustainability and the second is based on a systematic literature review at the SCOPUS database for scientific publications on sustainability by Palestinian universities in the Palestinian context, and the number of publications in fields related to sustainability in Scopus indexed journals. Findings: Some institutions include more sustainability topics in their teaching courses and research activities than others. The number of courses per teaching staff and department and the sustainability contents vary among the selected universities. Teaching activities focus on environmental sustainability, especially on energy, thermal and water efficiency. The number of Scopus indexed publications in fields related to sustainability in the past 20 years is low. The highest number of published papers was those focused on environmental sustainability. Practical implications: This study has implications for university researchers and educators by identifying the gaps between the teaching and research conducted and the UN Sustainable Development Goals for 2030. For policymakers, the study shows that the status of sustainability in higher education, mainly at engineering schools, is still in great need for universities' and government's support, for example, to increase the number of published papers, number of courses and master programmes addressing sustainability. Originality/value: This paper provides a current status for integrating sustainability education and research at engineering schools. The output of this study can be useful for future research to analyse higher education institutions' impacts on sustainable development. [ABSTRACT FROM AUTHOR]

With the continuous development of internationalization and the task of cultivating graduates with high comprehensive quality for the society, the importance of English teaching in comprehensive universities has been increasing. In this paper, based on the analysis of the evaluation subjects of university English teaching quality, 16 evaluation indexes are constructed from five aspects: teaching content, teaching method, teaching process, teaching literacy, and teaching effect, and the Particle Swarm Optimization-Least Squares Support Vector Machine (PSO-LSSVM) algorithm is used to comprehensively evaluate the teaching quality, and finally English teaching in universities is selected as the object of empirical research. The research results show that PSO-LSSVM algorithm has high applicability in evaluating ECCU and can provide over reference for universities to improve teaching quality and develop reform programs. Due to the lack of training data, although the evaluation index system in this paper is scientific and feasible, it still needs to be further adjusted and optimized according to the specific practice situation. [ABSTRACT FROM AUTHOR]

This article provides an overview of issues involved with traditional paper versus online course evaluations. Data were gathered from university faculty, who transitioned from traditional paper to online course evaluations. Faculty preferred traditional course evaluations versus online course evaluations by a small margin. However, faculty overwhelmingly believed that traditional course evaluations result in higher response rates from students. Incentives were also believed by faculty to increase student response rates. Suggestions from faculty on how to improve student response rates are also provided in this article. [ABSTRACT FROM PUBLISHER]

A well-designed educational programming dataset is a valuable asset for students and educators. Such a dataset enables students to improve their programming performances continuously, provides researchers with significant data sources to identify students' learning behaviours and enhance the quality of programming education. Several existing datasets for programming education are either limited by a small number of participating students or a short span of learning records, bringing great challenges to investigate students' learning patterns in programming. We present a graph-based large-scale dataset specialized in programming learning on Online Judge (OJ) platform. The dataset, named ACcoding, was built by a university teaching group. As of the submission date of the initial manuscript of this paper (May 6, 2022), the dataset contains 4,046,652 task-solving records submitted by 27,444 students on 4,559 programming tasks over a span of 6 years. The large size of the dataset, combined with rich functional features, empowers educators to trace students' programming progress and choose appropriate programming tasks for specific training purposes. We also presents examples of applications used by the dataset. [ABSTRACT FROM AUTHOR]

In recent decades, there has been growing concern about teacher preparation at university and the link to educational quality. As a result, higher education institutions have designed programmes to help faculty teachers further their development in their professional careers. However, the literature pinpoints a lack of empirical evidence on professional development (PD) policies at university level due to the limited tradition of research and evaluation at this educational stage. The aim of this research is to provide an overview of the actions and programmes for the professional learning of new academics at university institutions. To this end, we conducted a systematic review of the international literature, based on 262 papers from three international databases, of which a total of 18 were analysed in depth. This study examines the types of programme, content and learning outcomes. The findings show that most programmes deploy mentoring versus other modalities, although duration and content are heterogeneous. In addition, mentor selection and training is revealed as a key element for programme success. Finally, we present a number of lessons learned that may be useful for university induction programme design. [ABSTRACT FROM AUTHOR]

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Society is in urgent need of English talents with high comprehensive English application ability and strong independent learning ability. Task-based language teaching has always been an effective way to improve English talents, but the shortcomings of traditional task-based language teaching in teaching practice are beginning to emerge, such as insufficient classroom time, lack of real-time monitoring, and scientific evaluation mechanisms. Therefore, the traditional task-based language teaching cannot meet the new requirements of society for the cultivation of English talents. Random matrix theory uses the principles of statistical mechanics to model the interaction of complex systems in multiple mathematical domains to improve the teaching effectiveness. Random matrix theory has been widely used in theoretical neuroscience and optimal control. This paper is based on teaching task-based language and analyzing the data from the teaching process with big data so as to give timely feedback and suggestions to teachers. This paper constructs a model of college English teaching based on random matrix theory using a task-based teaching model. Since the teaching model of college English is a typical high-dimensional nonlinear function problem, a network model of deep confidence network is used to determine the implicit relationship between input and output. To verify the effectiveness of the model, this paper conducts a practical study of the constructed model. The study shows that the task-based teaching model of college English based on random matrix theory improves college students' English expertise and English language usage ability and also greatly enhances students' enthusiasm for learning English. [ABSTRACT FROM AUTHOR]

With the development of teaching evaluation program, colleges and universities have reformed according to the actual situation of the school. With the development of evaluation activities, many universities are eager to establish their own teaching quality evaluation system, so as to pre-evaluate the teaching quality of schools. SVM is one of the most widely used machine learning algorithms that enables efficient statistical learning with a very limited number of samples. Considering the excellent learning performance of SVM, it is very suitable for the teaching quality evaluation system. In this paper, we optimize the existing multiple classification algorithm for binary trees and propose a new method. Learning the popular teaching quality evaluation system in colleges and universities, the binary tree support vector machine classification algorithm, and design comparison experiment, the experimental results show that the evaluation model proposed in this paper has strong generalization ability and higher classification accuracy and better classification efficiency. [ABSTRACT FROM AUTHOR]

College English teaching aims at students with different foundations and characteristics. Also, it is necessary to grasp the mental state of students in time during the teaching process. Based on the bimodal information of facial expressions and speech of classroom students, this paper designs a mental state assessment method based on deep learning. For bimodal emotion recognition of facial expressions and speech, a feature fusion method based on sparse canonical correlation analysis (SCCA) is proposed in this paper. First, the emotional features of the facial expression and speech are extracted, respectively. Then, SCCA is used to fuse the emotional features of the two modalities. Finally, the sparse representation-based classification (SRC) is used as the classifier for emotional prediction. Based on the prediction results, the mental state of different students can be grasped, so as to adjust the teaching strategy in a targeted manner. Experiments are carried out based on public datasets. First, the proposed method achieves the average classification accuracy of 92.4%, which is higher than those from the present methods for comparison. Second, under the condition of noise corruption, the proposed method keeps the superior robustness over the comparison methods. The results show that the proposed bimodal emotion recognition method based on SCCA and SRC can achieve higher recognition rates than some present methods. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to explore the differences between science, technology, engineering and mathematics (STEM) and non-STEM disciplines in terms of the changes to teaching and research practices caused by the COVID-19 pandemic. Design/methodology/approach: The paper analyses survey responses collected between July and November 2020 from 241 academics (excluding library staff) from the five oldest state universities in Sri Lanka. The analysis focuses on the differences between STEM and non-STEM faculty using multiple linear regression to control for demographic characteristics such as age, gender and designation as well as university-specific factors. Findings: The paper finds significant differences in the teaching practices of STEM and non-STEM academics, both in terms of preparation time for teaching and tools used for online delivery. Significant differences are also observed in research practices, with STEM faculty being significantly more likely to engage in research collaborations, obtain research funding and be involved in more research projects. The authors do not find any evidence of the pandemic having differential impacts on research productivity between the broad disciplines. Originality/value: This research provides insights into the differences between STEM and non-STEM disciplines in online teaching and research practices adopted since the onset of the pandemic, which are important for formulating appropriate policy responses to mitigate the impact of the pandemic on both students and staff. The contribution is particularly significant for developing countries where the creation of a skilled workforce is a key driver of the development process. [ABSTRACT FROM AUTHOR]

Virtual image refers to the unreal image projected by projector, mobile phone, and other projection equipment. Through virtual images, we can explore some scenes that are difficult to observe directly with the naked eye or express fictional images in our minds. At present, the technology is widely used in construction industry, tourism industry, and medical system. At present, after the development of efficient physical education in China, schools generally do not pay attention to the specific application of virtual image technology in badminton teaching in colleges and universities in China. This paper analyzes the representative badminton events in China's physical education, improves the traditional algorithm, optimizes the effective segmentation and recognition algorithm of virtual image technology in motion capture, combines the improved virtual image technology with virtual reality glasses, and compares the accuracy of the virtual image technology proposed in this paper with that of the traditional image technology. The accuracy of the virtual image technology proposed in this paper always remains the first. The practical application in badminton teaching in colleges and universities has achieved good results. [ABSTRACT FROM AUTHOR]

With the importance of sports to the all-round development of people, especially with the rapid development of higher education and the gradual deepening of reform and opening up in recent years, physical education, as an important part of college education, involves many factors and is the physical foundation of the people's revolution, playing a very important role in talent training. The physical education evaluation system is an intuitive result of the physical education process and physical education effect. Based on information technology to promote various industries to upgrade the core of formal Industry 4.0, the current Internet big data has gradually become a hot spot of social development, and it has been widely used in various industries and achieved good results. This paper firstly clarifies the importance of college physical education evaluation and studies the evaluation level and evaluation system construction principles of college physical education. Finally, the significance of the construction of the evaluation system of physical education in colleges and universities under the background of big data and the characteristics of evaluation theory are given, and the active construction strategy is planned, and the evaluation system of physical education in colleges and universities in the future is prospected. This paper is a combined research on the application of big data to the construction of contemporary physical education teaching evaluation system, to help the construction of physical education evaluation system in my country's colleges and universities and to explore a feasible path for the application of big data technology to existing fields. [ABSTRACT FROM AUTHOR]

The current ideological and political (IAP) teaching has some disadvantages, such as emphasizing theoretical form over practical teaching, students' differences in personality and cognition, and lack of interaction between teachers and students. Therefore, this paper first analyzes IAP teaching based on VR communication and summarizes the disadvantages of current IAP teaching and the application advantages of VR technology. Based on the principles of interactivity, practicality, and richness, the IAP teaching system is constructed based on the double-center teaching mode, and the teaching content are designed. In addition, in order to provide a carrier for VR IAP teaching, this paper designs the functional module, development process, and framework of the development of VR venues with red theme, combining with red historical events. The IAP education system proposed in this paper can help to explore the potential and advantages of VR technology that applied to IAP education in colleges and realize the modernization of IAP education. [ABSTRACT FROM AUTHOR]

In today's society, the rapid development of information technology has had a profound impact on human work and life as well as on education. In recent years, the rapid development of the Internet and information technology has laid a solid foundation for the digital transmission of information, which has changed the mode of information transmission and improved the efficiency of information dissemination. As an important part of network information dissemination, blended teaching is rapidly developing from an on-demand learning platform to an interactive learning platform and has now become a blended teaching platform in China. The main problem of the current blended teaching model is that the effect of improving performance is not good. In order to solve this problem, this paper introduces automation technology, which can significantly improve the extraction accuracy of information extraction methods in specific fields by using rich domain knowledge and features and complete the extraction tasks at multiple levels. The automation method based on automation technology has great advantages in this regard and effectively improves the English performance. Two groups of voluntary college students were randomly selected to conduct a one-semester blended teaching model designed in this paper to investigate the 'students' English scores. The average grades of students were 95.2, 96.7, 96.8, and 97.2, respectively, which is a big improvement over the existing system. [ABSTRACT FROM AUTHOR]

In the context of rapid social development, education has also faced many challenges in the market. As an important part of higher education, music courses have important value and effect on the cultivation of students' healthy psychological quality. Correct and effective music teaching can effectively guide students' music theory knowledge and aesthetic awareness and promote students' personal future development. However, the learning of theoretical knowledge in music courses is often abstract and boring. In the actual teaching process, problems such as unsatisfactory teaching effect of teachers and low learning interest and enthusiasm of students are often caused by the single teaching mode. Based on numerical analysis and scientific computing, this paper studies the new ideas of college music teaching mode. Under the guidance of scientific educational theory, numerical analysis and scientific calculation are integrated into the teaching of music curriculum theory, and abstract music theory knowledge is concretized to guide students to learn knowledge in a more intuitive way. In the practice of college music teaching mode based on numerical analysis and scientific computing, the method proposed in this paper can effectively improve students' learning effect and learning enthusiasm. And through the questionnaire survey, it is found that more than 80% of the students are satisfied with this teaching mode, and 62.5% of the students hope to continue to use this teaching mode in the learning process. It is feasible to apply it in practical teaching. [ABSTRACT FROM AUTHOR]

With the rapid development of wireless sensor and network technology, learners can learn anytime and anywhere through various intelligent terminals. For this reason, this paper is research on education and teaching reform in universities that use cloud computing and big data. Teaching practice has proved that the teaching reform based on popular technology not only combines theory with practice, can improve students' interest, and achieve good teaching effect but also is a beneficial exploration for students' comprehensive training. Aiming at the existing problems of distributed teaching system, this paper proposes to teach the theoretical knowledge points of distributed system under the framework of cloud computing and at the same time cooperate with related teaching reform of comprehensive design. [ABSTRACT FROM AUTHOR]

Blended teaching is a kind of teaching that combines online teaching with traditional teaching, which is defined as "online and offline". Through the organic combination of these two teaching forms, students' learning can be from shallow to deep. Therefore, based on the data mining algorithm, this paper designs the method of College English online and offline blended teaching effect. First, it collects the College English blended teaching resources, then builds the College English online and offline teaching support, debugs the College English teaching environment, and finally designs the College English blended teaching model based on the data mining algorithm, so as to realize the College English online and offline blended teaching, The experiment shows that the method designed in this paper can effectively improve the reading ability of College English, and has certain application value. [ABSTRACT FROM AUTHOR]