Reviewerly/exHarmony huggingface dataset:
A Study on the Timeliness of College English Teaching in the Context of Fuzzy Numerical Analysis

Abstract The purpose of analyzing the subjective and objective factors affecting the timeliness of college English teaching is to develop corresponding strategies to enhance the timeliness of College English teaching. In this paper, an evaluation index system for the timeliness of college English teaching is constructed, and the basic process of fuzzy comprehensive evaluation method using fuzzy numerical analysis is designed. The optimal solution is found by comparing the corresponding objective function values after the bat position is updated, and the weights of the evaluation indexes are selected adaptively to ensure the objectivity of the index weights. In order to be able to more intuitively analyze the relevant factors affecting the timeliness of College English teaching, the questionnaire was used to obtain the evaluation index data, and numerical analysis was conducted for relevant and fuzzy comprehensive evaluation. The results show that the adaptive selection of indicator weights using the BA algorithm reaches the optimal convergence value of 0.504 after 10 iterations, and the weight of the evaluation indicators obtained at this point best reflects the distribution of English teaching effectiveness variables. The comprehensive evaluation score of the fuzzy numerical analysis carried out in College A is 2.1534, and the rating is in the middle, so its teaching content and methods need further improvement. The use of a fuzzy numerical combined evaluation index system can deeply excavate the relevant influencing factors of college English teaching timeliness, help college English teachers to innovate more effective teaching methods, and finally improve the timeliness of college English teaching.
Changes in Music Curriculum Education in Colleges and Universities Based on Cloud Classroom Assistive Technology

Abstract With the rapid development of science and technology, cloud classroom teaching has gradually become a trend. The cloud-based music teaching aid training system designed in this paper learns to map rhythmic and pitch features through music sequence generation technology. The onset detection algorithm of spectral flux detects the onset of the note. The Bezier curve is introduced into the melodic line feature generation algorithm to construct a polynomial function for interpolation between the first and the last endpoints, and the emotion is utilized to guide fractal music creation. Finally, the effectiveness of this auxiliary teaching system in college music teaching has been verified. The results show that the optimal Hamming distance of the system is 0.353 in the music melody generation experiment, which indicates that the system can quickly generate melody lines for students in music teaching and improve their learning efficiency. The system can significantly improve the rationality and efficiency of music skill training, which is worth promoting.
A Thematic Microgrid Teaching Model for Physical Education Based on SSA Optimization Algorithm

Abstract As an innovative design, microgrid teaching has great application prospects in teaching practical skills in sports. In this paper, we constructed a knowledge graph based on sport-themed microgrid teaching and updated the knowledge graph with a bottom-up model. In the inference model of the knowledge graph, a gated loop unit is used to make modifications on GNN and unfold a fixed number T of recursions, while time backpropagation is used to compute the gradient to evaluate the students’ sports intensity under the theme-based microgrid teaching. The SSA algorithm improved the ontology rule inference of the core parameters by including sport intensity in the core parameter constraints for the generation of physical education microgram instruction. The RMSE mean of the recommendation algorithm in the optimized optimal sports instruction search was 0.43257 with a standard deviation of 0.05531 and a 95% confidence interval of [0.44149,0.42364]. The use of SSA was able to obtain lower RMSE values under the same model of sports and physical activity similarity calculation. By obtaining the optimal sports instruction program, the sports thematic microgrid teaching model was scientifically guided.
Personalized teaching of college psychology based on information fusion technology

Abstract This paper explores the cognitive attention mechanism in mental activities, analyzes the learning emotion contained therein as well as the information of thinking activity that carries out the whole cognitive process of mental learning, and obtains the information construction data of the three-dimensional interest model after the estimation of the learner’s head gesture and the recognition of dynamic expression. A conditional random forest model is built using multimodal information fusion technology, and a natural smile detection method is proposed based on it. After training, it realizes the information estimation of the learner’s head pose data, generates the smiley face classifier based on conditional random forest, and determines the teaching decision boundary using K-Means clustering. To analyze the psychological personalized teaching results of the model, an empirical study is conducted through a controlled experiment. The experimental results show that the learning efficiency of the model on the CelebA dataset and SMILEsmileD dataset is improved, the accuracy rate is stabilized at 95% after the number of iterations 10, and the model’s performance is superior. The majority of the students in the experiment have a mastery of psychological knowledge that is around 0.85, and there is a significant positive correlation, and personalized teaching has a more significant effect.
A comprehensive review of augmented reality in education and medical fields

Augmented Reality (AR) is a technology that superimposes digital information on the real world. This information can be visual, auditory, or haptic in nature. In education, AR can be used to create interactive and immersive learning experiences that help students learn more effectively. AR can be used to improve surgical procedures, train medical professionals, and educate patients. This study provides a comprehensive review of the state-of-the-art in AR research and development in the educational and medical fields, along with the basic principles of AR and its potential applications. It also discusses the challenges and opportunities associated with the adoption of AR in these fields.
Synthetic audio and video generation for language translation using GANs

Language barriers create a digital divide that prevents people from benefiting from the vast amount of content produced worldwide. In addition, content creators face challenges in producing content in multiple languages to reach a wider audience. To address this problem, this study proposed a solution through a survey that utilized Generative Adversarial Networks (GAN), Natural Language Processing (NPL), and Computer Vision. A Generative Adversarial Network (GAN) is a Machine Learning (ML) model in which two neural networks compete with each other by using deep learning methods to obtain more accurate predictions. The solution provided in this study can generate synthesized videos that are close to reality, ultimately bridging the language barrier and providing access to content.
Robot artist and XY plotter for the generation of modern art

The interactive nature of coding has led to its increasing use in the field of art, where it is used to create interactive, generative, and immersive artwork. The use of XY plotters has the potential to revolutionize the way modern art is created and distributed. XY plotters are computer-controlled drawing machines that use a pen or marker to create images or designs based on a digital input. It is relatively inexpensive and easy to use, making it accessible to artists. By using XY plotters, the cost and time required to produce and distribute art, making it more accessible and sustainable for artists and collectors can be reduced. This study explores the use of AI, robotics, and XY plotters, in the creation of modern art, examining the benefits and challenges of this technology and considering its potential impact on the art world. The concept of stippling, which is particularly effective at clearly representing smooth, rounded objects without sharp edges are also discussed.
Intelligent personal assistants: A brief overview

Intelligent Personal Assistants (IPA), also known as virtual or digital assistants, are software programs that utilize Artificial Intelligence (AI) and Natural Language Processing (NLP) to perform a wide range of tasks and services for users. This study provides an overview of Intelligent Personal Assistants, their capabilities, and their impact on human life. IPAs can be accessed through various devices such as smartphones, smart speakers, and smart displays, and can be activated through voice commands or graphical interfaces. The key advantage of intelligent personal assistants is their ability to understand and respond to natural language, enabling users to interact with them in a more natural and intuitive manner. In addition to executing tasks, IPAs can offer personalized information and recommendations based on user preferences and past interactions. The concept of smart advisors, which specializes in providing subject-specific advice and recommendations, was introduced. Overall, this study aims to shed light on intelligent personal assistants and address any skepticism surrounding this new age of technology, highlighting their potential to enhance and improve human lives.
Мetacognitive thinking as a way of increasing personal effectiveness

Metacognitive thinking involves cognitive processes (e.g., idea generation); monitor and regulate cognition adaptively (e.g., evaluation of ideas and task performance, or development and selection of task strategies. Although metacognition is vital for effective human activity, the theoretical conceptualization of creative metacognition as a way to increase personal effectiveness has not yet been disclosed. This paper aims to trace the impact of metacognition on increasing personal effectiveness. Thus, this article proposes a systematic structure of metacognitive thinking based on the latest results in the theory of metacognition and expanding them taking into account the specifics of metacognitive thinking. Historical and theoretical understanding of the term ―metacognition‖ is taken into account and the relationship between ―metacognitive thinking‖ and ―personal effectiveness‖ is stressed in the article. The authors stated proposals for using person’s metacognitive potential in educational environment of technical university and professional activities. To meet the purpose of the study, the following scientific research methods were used: deductive, analyses, dialectical and historical.
Edukasi Penggunaan Sistem Informasi Geografis (SIG) sebagai Upaya Pencegahan Penyakit pada Puskesmas Rampal Celaket

Education on the use of Geographic Information Systems (GIS) is training that aims to increase the knowledge of puskesmas employees regarding the use of geographic information systems as an effort to prevent disease at the Rampal Celaket Health Center. This education uses lecture and discussion methods as well as assistance to participants through direct practice using the GIS application. After the training, participants' understanding increased with indicators of map layouts that were made quite well and fulfilled cartographical rules. The response of the participants was very responsive and enthusiastic in participating in the training from start to finish. This can be a consideration for carrying out further education so that the abilities and skills of participants can improve even better.
A Critical Discourse Analysis of Education ODA Policy Narrative in South Korea’s Knowledge Sharing Program

This study examines how education ODA policy narrative has been delivered in the form of policy transfer through the Knowledge Sharing Program (KSP) from South Korea to partner countries and further explores what kind of education policy discourse is being formed in the process. To this end, a critical discourse analysis was conducted on 33 policy advisory reports of KSP projects in the education sector from 2005 to 2021. The results can be divided mainly into three dimensions. In terms of textual practice, the KSP reports deliver a tacit message that Korea's education policies and systems are superior to those of partner countries by repeatedly using specific vocabulary or reinforcing contrasting metaphors when describing the current educational state of Korea and partner countries. At the level of discursive practice, the forms of description tended to be particularly bureaucratic and stereotyped, simply listing information according to a consistent structure. Moreover, the content of the reports, in general, was characterized by lacking consideration of the different social contexts of the partner countries. In terms of socio-cultural practice, it was confirmed that the situational context in which the report was planned and written ─ as well as the political stance of the Korean government had a significant influence on the formation of the policy narrative. This study examined the trends, characteristics, problems, and limitations of Korean education ODA analyzed in previous studies from a new perspective of discourse formation and dissemination through critical discourse analysis of policy narratives. On that basis, this study suggests considerations essential for Korean education ODA to create a narrative with its own originality and expertise.
The Application of CIPP Model in the Evaluation of Teaching Quality of College Education in the Context of New Era

Abstract The flaws in the conventional teaching quality evaluation system that have always existed have not been fixed since the start of the new century. This study suggests a teaching assessment model for college education that utilizes the CIPP model since there is a pressing need for a model that can satisfy the demands of the modern educational environment. The investigation examines the relevance of both approaches to teaching quality evaluation in educational institutions by combining the advantages of CIPP and BP neural networks. The artificial neural network’s working mechanism is described, the weights within the BP learning algorithm are modified, and the first version of the teaching assessment model is inferred based on an analysis of the structure and function of neurons. The conceptual model of teaching quality assessment in higher education is intended to be completed by the model’s algorithm and framework. Investigate and analyze the teaching quality of S colleges and universities using the empirical analysis approach. The results of the empirical investigation show that the correlation coefficients of the 4 dimensions of teaching evaluation are above 0.6, with control between 0.3-0.8, and they have a strong correlation. The Cronbach’s alpha coefficients of the survey are all above 0.7, with very good reliability.
Exploration of an Innovative Model of Higher Education Management and Student Training Mechanism Based on Cognitive Mapping

Abstract In this paper, we use cognitive mapping for four-parameter Logistics model fitting computation and obtain personalized learning resource paths incorporating learners’ fuzzy cognitive mapping after eliminating the influence of blunders and guessing factors on learners’ cognitive assessment. After calculating peer similarity based on the cognitive map, the cognitive change trajectory is tracked, and learning resources are recommended iteratively until students become proficient. Based on the cognitive objective function and knowledge relevance, the cognitive mapping of education management of college students is constructed. The research on the mechanism of higher education management and student cultivation is analyzed from the goal of talent cultivation in colleges and universities. Statistical analysis is utilized to analyze the research on the mechanism of higher education management and student cultivation. The results show that the t-value of the regression results are all greater than 2, the regression results are significant, and its regression coefficient is 0.87, which means that all dimensions of the cultivation mechanism of colleges and universities have a positive impact on external employability. In terms of academic attitude, moral cultivation and academic norms, the supervisor has a greater role in influencing postgraduates, and its percentage values are 49.2%, 52.1% and 46.5%, respectively, and the mean values of the three dimensions are above 4.1, while the standard deviation values are above 1.0. This study provides basic references and effective suggestions to promote the continuous improvement of graduate student training quality and is of great significance to the innovation of educational management and student training mechanisms.
The Application of Big Data Technology in English Teaching Mode Innovation and Effect Analysis

Abstract Big data technology provides a detailed development of English language teaching, which is targeted through the assessment of cognitive level. In this paper, ConvSLSTM is used to describe the problem of learners’ knowledge level and build a cognitive framework. With the support of the framework, “recall rate” was introduced to quantify the English vocabulary test results, PSTM ability was adopted to reflect the acquisition of syntactic variants, and attention control was borrowed to evaluate pronunciation characteristics. Based on the initial quantification mentioned above, a hierarchical-level calculation was accomplished by combining fuzzy logic. Meanwhile, based on the estimation of different sides, a rule space model was created, and some corrections were made to achieve the cognitive diagnosis of the group level. In terms of the syntactic developmental trajectory of the girl learners, the maximum value of the range of syntactic variation of the subjects appeared in the middle and late stages. During the early stages of development, the variation range is between 10-35, and the bandwidth is 25, with very little variation. However, in the middle stage of development, it basically starts to oscillate significantly between 10-85, at which time the bandwidth increases to 75. Big data technology has created a comprehensive measurement framework for learners’ English proficiency.
Digital innovations in higher education management and mechanisms for high-quality training of students

Abstract With the rapid development of modern information technology, the management mode and cultivation path of higher education have undergone great changes, and this paper explores this change from digital innovation. First of all, this paper analyzes the mechanism of education management and student training in higher education and puts forward the digital innovation path of higher education management and student training in combination with education big data. Then, on the basis of the traditional Apriori algorithm, the AHP-DEMATEL method is introduced for empowerment, and weighted ordered directed constraint Apriori algorithm is proposed for data mining, and the PSO-LS-SVM prediction model is proposed for data prediction by combining particle swarm algorithm for optimization under least squares support vector machine algorithm. Finally, the data on educational management and the effects of student cultivation and innovation on students are mined and predicted, and the relationship between the two is explored. The results show that the improved Apriori algorithm ends up with the number of rules around 20 when the support degree is 0.22, the confidence degree is 0.50, and the interest degree is 0.80, and the relative errors of the prediction are all under the level of 0.03, and the average relative error of the data of the experimental results is 78, and the innovation scores are all above 80. Higher education management and the digital innovation of students’ high-quality training mechanisms show a positive correlation, which can promote the overall development of students.
On Integrated Optimal Task and Motion Planning for a Tractor-Trailer Rearrangement Problem

In this work, a combined task and motion planner for a tractor and a set of trailers is proposed and it is shown that it is resolution complete and resolution optimal. The proposed planner consists of a task planner and a motion planner that are both based on heuristically guided graph-search. As a step towards tighter integration of task and motion planning, we use the same heuristic that is used by the motion planner in the task planner as well. We further propose to use the motion planner heuristic to give an initial underestimate of the motion costs that are used as costs during the task planning search, and increase this estimate gradually by using the motion planner to verify the cost and feasibility of actions along paths of interest. To limit the time spent in the motion planner, the use of time and cost limits to pause or prematurely abort the motion planner is proposed, which does not affect the resolution completeness or resolution optimality. The planner is evaluated on numerical examples and the results show that the proposed planner can significantly reduce the execution time compared to a baseline resolution optimal task and motion planner.
Foreign Open Access Journals in the Field of Librarianship: Opportunities for Publishing Research Results

Open access journals are widespread, including the field of library science. The purpose of the article is, basing on the results of the analysis of foreign journals on library science topics, to prepare a list of journals for potential publishing Russian scientists’ articles in them.The selection of journals was carried out on the platforms Directory of Open Access Journals (DOAJ), Dimensions, Lens.org and Scimago Journal &amp; Country Rank. Non-thematic journals were eliminated from the initial sample of journals; the remained ones were analyzed according to the following parameters: reflection of journal data on major world open access resources, indexing in international databases (Web of Science and Scopus), quartile (Q1 и Q2 from Scimago Journal &amp; Country Rank), as well as open access models, price policy and availability of an open license.In addition, the studied journals were checked for presence/absence in the “black” lists of journals. Based on these data, the general “portrait” of library open access journals was compiled and the list of recommended foreign open access journals for publishing the Russian scientists’ results of research was marked out.The study embraced 220 open access journals.The results indicated the Directory of Open Access Journals (57, 7 %) as the main platform for journal selection. About 64 % of journals were free of charge for authors with publishers (universities or associations) covering the costs of publishing articles themselves. “Diamond” (about 63.5% of journals) and “Green” (about 43, 5 % of journals) were identified as the dominant open access models, indexed in Web of Science and Scopus – about 60 % of open access journals.The study also revealed the problem of correct reflection of open access journals on the platforms (discrepancy of topic, type of the document, etc.). The list of 12 highly rated journals that library scientists could use when searching for information and publishing their research results in the open information space was compiled, and analyzed for publications of Russian authors in them over the past 5 years (2018–2023).