Reviewerly/exHarmony huggingface dataset:
A Breakthrough Approach to Digital Literacy for Primary and Secondary School Students Based on Virtual Technology

Digital technology in the 21st century has brought great convenience to the world, but also brought new challenges.As "digital natives", primary and secondary school students have become the focus of education to adapt to the needs of the digital era and to promote the digital transformation of society through intensive and efficient basic education.This paper compares the current situation of digital literacy in primary and secondary schools at home and abroad, proposes new issues in the cultivation of digital literacy in primary and secondary schools according to the national policy and learning environment of primary and secondary students in China, and constructs a breakthrough path model for the cultivation of digital literacy of students in basic education in China on the basis of virtual technology.
Research on Virtual Display of Characters in “Records of the Grand Historian” Based on Mobile AR Technology

Research the design method of mobile AR to display the culture of Records of the Historian and play a digital inheritance and protection role for the culture of Records of the Historian.Analyze the design principles of AR technology applied to the culture of Records of the Historian, take the highly famous character design as an example, and build the AR situation that is conducive to the learning of Records of the Historian through the 3D model of the character and the interactive design of the interface, combined with the Unity3D engine and Vuforia plug-in.Mobile AR display and virtual interaction enhance the learning interest of visitors, enhance the user's interactive experience, provide new ideas and technical support for traditional culture communication and education under the background of virtual and real interaction technology, and help the public to pay attention to and disseminate traditional history and culture.
Exploration of Multimedia Teaching Mode of Electronic Technology Practice in Smart Classroom

The electronic and electrical experimental course is the most significant part of the engineering teaching of electronic information specialty.Among them, the electronic technology experiment provides a platform for students to transform theory and practice.Responding to the call to stimulate the interest of students and the enthusiasm of teachers in the emerging engineering education, the article explores the model of electrical and electronic practice teaching.The results show that the adoption of smart classroom, an online and offline multimedia teaching mode, combined with open engineering practice teaching cases, can stimulate teachers' teaching enthusiasm, cultivate students' engineering practice ability and innovation spirit, and significantly improve students' ability to solve practical problems and master basic knowledge.
Reform of Teaching Mode of Non-traditional Machining Course Based on Engineering Practice

In order to adapt to the rapid development of modern processing technology, according to the training goal of applied university, this paper puts forward the reform of teaching mode of Non-traditional Machining based on engineering practice, including revising the syllabus, carefully preparing lessons, online and offline mixed teaching for learning-centered, increasing experimental practice, vigorously improving ideological and political education, promoting teaching and learning by competition and extracurricular innovation, and optimizing the curriculum assessment system.Through the above all-round and three-dimensional course teaching mode reform, students' engineering practice and practical application ability can be improved, and lay a solid foundation for follow-up courses and future engineering and technical work.
Research on the Evaluation of College Curriculum Teaching Effect Based on Association Rules

The effect of teaching monitoring and evaluation in colleges and universities is not ideal.External monitoring and internal monitoring indicators are inconsistent, which is unable to achieve the effective use of evaluation data.Part of the evaluation process is more inclined to the evaluation of management and teaching effect and lack of a monitoring index system for the teaching process.Some colleges and universities have carried out network evaluation, which broadens the time and space of evaluation in the form of evaluation.However, they do not make effective use of the large amount of data generated in the evaluation process.Based on the research of data mining algorithms, this paper proposes the effective application of data mining in the internal teaching quality monitoring and evaluation of colleges and universities.It combines with a large number of original data clustering analysis, puts forward a new model construction idea after the weight distribution of the original teaching evaluation model indicators, and applies association rules analysis.The data preparation and data processing are described in detail.The performance of the improved algorithm proposed in this paper is compared by using the same data set and running environment.The effect of this research is proven.By analyzing the results of teaching evaluation, teachers' information, and curriculum characteristics, we can get the ideas and measures to effectively use the results of teaching evaluation and improve teachers' teaching ability.
Feature Extraction and Matching Algorithm Based on Improved SIFT

To solve the problem that the SIFT algorithm used in augmented reality algorithm can not accurately extract matching and the matching efficiency is low, a matching method combining SIFT algorithm, fast explicit diffusion FED and IMU is proposed.Firstly, the input image of the initial matching is processed by a nonlinear filtering operation using FED.Pre-integration is performed by the IMU inertial measurement unit to calculate the pose change of the camera between two frames of images.Then, the SIFT algorithm is adopted for image matching.Finally, the corresponding relationship between the virtual object coordinates registered on the screen and the real space coordinates is determined.With the help of IMU and the nonlinear image fuzzy processing, the proposed method has strong adaptability to images and can obtain the corresponding coordinates of real space in complex environments.
The Construction of a New Normal Classroom for Linear Algebra Under Hybrid Teaching

To address the problems in the traditional classroom of linear algebra, we make full use of self-built MOOC resources and propose a hybrid teaching model that combines online and offline learning suitable for applied undergraduate institutions.This mode of teaching meets students' needs for "fragmented" learning, not only stimulates students' enthusiasm for learning, but also increases students' motivation and initiative.Practice shows that this teaching mode emphasizes the "main" position of students and the "leading" role of teachers, which solves the problem of "difficult interaction" between teachers and students and improves the teaching effect of linear algebra courses.
Recognition of Piano Play Gesture Based on Infrared Sensor Detection Rod

Piano playing gloves are a new intelligent wearable device.The multiinertial sensors in the gloves can sense and analyze the gesture state of piano players in real time, which can make piano learners know whether the playing gestures are standard in real time, thus effectively improving piano learning efficiency and interest, and reducing learning costs.Different from gestures in other application fields, piano playing gestures have the characteristics of diversity, rapidity, great dynamics and strong time-varying.A design scheme of non-contact gesture recognition system is proposed.In this system, infrared and ambient light sensors Si1143 are combined with capacitive touch-sensitive microcontrollers such as C8051F700 and C8051F800 to realize non-contact gesture recognition, which can be used for various actions and gesture detection and distance calibration of target objects.
Development and Application of Teaching Evaluation System in Higher Vocational Colleges Based on BP Neural Network

This paper takes the teaching evaluation of higher vocational colleges as the research object, comprehensively utilizes the functional advantages of network information technology, computer application technology and artificial intelligence technology, completes the construction and training of the teaching evaluation model of higher vocational colleges with the help of class libraries such as Numpy and Matplotlib in Python environment, and uses PyTorch framework as the calling engine to form a method class that can support Web Server calling.At the same time, combined with Django framework, the construction of Web Server is completed under Pycharm tool, and the definition and deployment of functions and data interfaces are improved, so as to generate a Web-based teaching evaluation system in higher vocational colleges.The overall design of the system chooses B/S architecture, which supports users to complete data collection, index selection, weight calculation and evaluation prediction of teaching evaluation with concise and efficient interactive operation.It not only effectively improves the accuracy of teaching evaluation in higher vocational colleges, but also makes a useful attempt to promote the reform of teaching evaluation system in colleges and universities.
Optimization Study of Multimedia Education in the New Era Based on Computer Platform

Web multimedia educational resources refer to multimedia teaching resources that exist in the Internet.With the development of network and multimedia technology, multimedia teaching resources in the Web, especially audio, video and animation, have become increasingly abundant and become an important part of the education field.How to quickly and accurately find multimedia teaching resources on specific topics, so that they can play a full role in informationbased education, is an urgent problem for educational technology workers, but also makes the traditional search engine faces a huge challenge, all kinds of multimedia search engine also came into being and received widespread attention.The search algorithm of the topic searcher, which is the core of the search engine, determines the search efficiency and quality of the search engine.This paper proposes a multimedia topic search algorithm based on URL link rules from the characteristics of topic web pages and web pages containing multimedia distributed in the Web and focuses on the problem of improving the efficiency of multimedia topic search.
Research on Visual Analysis of Popular Science Content Dissemination Hotspots

In this paper, crawler technology is used to obtain data sets, and after automatic classification, visualization technology is used to analyze and study popular science content.The crawler technology uses the Python web crawler library, the automatic classification algorithm is based on Poisson distribution of Bayesian algorithm, and the visualization is realized through tableau.This paper observes and analyzes the data sets within the selected range from a new perspective, text clustering and research the digital dissemination of popular science content by hot spot analysis of the distribution of popular science news, so as to provide decision-making service reference for science popularization workers.
Research and Analysis of Learning Factors Based on the Foundation of Computer Big Data

In the context of big data from computers, this paper explores Chinese students' low engagement behaviors in the UK classroom, supported by a foundation of data mining.In detail, it examines some of the current pedagogical reasons taught by Chinese graduate students about silence at the University of Glasgow through the theory of planned behavior.This exploratory study aims to gain a clearer understanding of what causes Chinese students to be silent in UK classrooms.The study also aims to provide innovative strategies for postgraduate lecturers at the University of Glasgow to deal with the silence of Chinese students, even as others teaching Chinese students in the UK encounter the same situation.In this case, it could give more pointed support to better meet the needs of Chinese students.This issue is important because Chinese students' silence in the classroom is a common phenomenon that has caused some problems for UK educators.This paper applies computerized big data to research that explores factors of student learning, also lays some groundwork for new areas of research with the development of new ways of research.
Research Status and Prospect of Artificial Intelligence Education in Primary and Secondary School

Strengthening the education of artificial intelligence in primary and secondary schools aims at popularizing artificial intelligence and training the citizens to have the intelligence literacy that matches the intelligence era.By distinguishing concepts and connotations related to maker education, STEM education, and artificial intelligence education, at the same time, CiteSpace tool is used to analyze the AI education in primary and secondary schools from the author's volume of papers, writing institutions, keywords, pop-up words and so on, to clarify the current research status and development trend of artificial intelligence education in primary and secondary schools.The result shows that artificial intelligence, intelligence education, robot and programming education are the key points and hotspots of artificial intelligence education in primary and secondary school.
An Analysis of the Application Strategy of Artificial Intelligence Technology in Elementary School English Teaching

In the context of the rise of artificial intelligence, how to realize the deep integration of artificial intelligence technology and subject teaching is a topic of concern for many teaching workers and front-line teachers at present.The application of artificial intelligence technology to elementary school English classroom teaching, so that the advanced artificial intelligence technology in the field of education to obtain a broader application area to achieve greater application value, can make a qualitative leap in the current stage of English classroom teaching.Based on this, this paper mainly analyzes the following points on the effective integration strategy of AI technology and elementary school English teaching.
BIMThermoAR: Visualizing Building Thermal Simulation Using BIM-Based Augmented Reality

The complexity of energy modeling concepts, the number of factors that influence the outcome, and their interconnections and correlations all combine to make building energy simulation a difficult subject to grasp. As a result, the preponderance of the time, the decision makers base their decisions on construction cost. Even if we show decision makers a 2D representation of the simulation outcomes, they will struggle to understand and, more crucially, relate simulation outcomes to the actual physical structure. The goal of this research is to see if augmented reality (AR) technology may be used as a new medium for visualizing the results of energy simulations. The goal of creating an AR mobile app prototype (BIMThermoAR) is to improve audience understanding of building energy simulations and the influence of material properties on interior temperature and annual energy consumption by superimposing the simulation outcomes on the actual physical structure. BIMThermoAR was created using a dynamic interaction between users, Building Information Modeling (BIM), and building materials selection which is based on materials’ construction types and insulation capabilities (e.g., R-value), resulting in a variety of building performance scenarios. The BIM is used by the AR app to present the Energy Plus engine’s simulated energy condition results, and the AR app has access to the BIM’s metadata. AR engagement is performed by changing the properties of building components and viewing how each change impacts interior temperatures and total building energy consumption. The visualization methods of BIMThermoAR are expected to enhance the understanding of building performance simulation by designers, engineers, and students.
Exploration of Computer Software Teaching in Material Science

To meet the needs of training diversified and innovative outstanding engineering talents in the future, a series of computer software teaching in material science have been carried out, which play an important supporting role in improving college students' ability to solve practical problems.Guided by the new development concept, this paper puts forward five teaching modes of computer software teaching in material science and introduces some experience and inspiration for curriculum reform.The progressiveness of innovative teaching means, the integrity of coordinated teaching content, the sustainable development of green teaching resources, the effective management of open teaching process, and the suitability of sharing teaching resources can improve the professional computer software application ability, the comprehensive engineering quality and the practical innovation ability.We look forward to providing a useful reference for the curriculum reform of relevant colleges and universities.
Construction of Teaching Resources Supply Service System for Accounting Major under Big Data Technology

Under the background of deepening education reform and the rapid rise of digital economy, the supply service system of teaching resources for accounting majors in colleges and universities is difficult to meet the needs of accounting professionals training in the new period.In this regard, this paper takes the accounting major in colleges and universities as the research object, and according to the current situation of network teaching mode and digital teaching resources, puts forward the construction scheme of three-dimensional teaching network resource platform, which provides reference for the innovation of teaching ecology of accounting major.The platform takes big data technology as the core, uses Hadoop cluster to complete the distributed storage and management of teaching resources, cooperates with Lucene algorithm tools to complete the design and development of search engines, and integrates Web2.0 technology to form standard network applications.After the completion of the platform construction, the simulation test results show that the platform effectively solves the problems of integration, circulation, application and management of teaching resources, improves the utilization efficiency of teaching resources, and optimizes the teaching process, thus making a beneficial attempt for the construction of smart campus in universities under the big data environment.
The Construction of Innovative Education Module System in Higher Vocational Colleges Based on Big Data

In today's era, big data is given the background of information, can be extracted into the rule of knowledge, with the help of various tools on the basis of analysis to provide the right decision becomes a resource.It is also worth exploring how higher vocational colleges use these information, knowledge and resources to carry out innovation and entrepreneurship education of higher vocational students.The purpose of innovation and entrepreneurship education in higher vocational colleges is not to let every student to start a business, but more importantly to cultivate students' entrepreneurial spirit and entrepreneurial ability, so that higher vocational students will have the ability to grasp entrepreneurial opportunities in the future era of big data and precise entrepreneurship [1].
B/S Architecture of College English Distance Education

In this paper, the college English distance education system under the B/S architecture is designed in detail, the use of Web server and background database to build the English distance education service system, the realization of student registration, score query, examination release and other functions, basically meet the needs of students network learning, has broad application prospects.English teaching is a systematic and continuous teaching work, and students' English learning outside the classroom has a decisive influence on the final learning effect [1].The establishment of college English distance teaching system through computer and Internet technology can help students acquire learning resources more conveniently, so that English learning is no longer limited by time and space, which plays a very important role in improving the efficiency of English teaching [2].This requires in-depth research and development of English distance teaching system and targeted design of system functions, so as to establish a more complete solution for English online students [3].
Research on the Optimization of Intelligent Scoring of Physical and Chemical Experiment Operation Test in Junior Middle School

In order to solve the problem of fairness, time and effort in largescale on-site scoring of physical and chemical experiment operation test in junior high school, this paper proposes a method based on frame adjustment and particle swarm optimization clustering, and makes a comparative application in the Shanghai physical and chemical experiment operation test system in junior high school.The results show that the new optimization method has significantly improved the accuracy and evaluability of intelligent scoring of experimental operation test.The accuracy of intelligent scoring accuracy of designated physical experiments has been improved by 10-20%.With the improvement of subsequent class libraries and the iteration of algorithms, the effect of relevant models and algorithms is expected to be further improved.This method has practical theoretical guiding significance for the improvement of the existing large-scale scoring of the physical and chemical experiment operation test in junior high school, and also has certain reference value for the machine scoring research of other experimental operation tests.
Expanding Performance-Driven Parametric Design Spaces Through Data Streams

There has been recent interest in using sampled datasets of parametric models to create fast, accurate predictions of building performance. This rapid feedback can enhance creative processes in which a designer is exploring potential design options live, compared to waiting for the results of individual simulations for each design possibility. However, basing these predictions on an existing parametric dataset can be limiting, as the original variable structure must be maintained. Drawing from advances in data streams, this paper proposes and evaluates strategies for adding a variable to the parametric design space without needing to re-simulate the entire dataset to update the prediction. Several approaches are tested to expand the design variables for three situations: a daylit room, a massing model for energy prediction, and a stadium geometry. The main strategy, an online updating method, significantly reduces the number of new simulations required with the new variable to achieve reasonably accurate performance prediction, compared to re-simulating the entire dataset with the new variable included. However, in certain cases this approach only slightly outperforms creating a simple linear model with just the new datapoints. Future work can continue to investigate how to best enable the addition of variables to a parametric design space and corresponding performance prediction model.