Design Goals Research Articles

An entrepreneurial education game for effectively Tracing the knowledge structure of college students - based on adaptive algorithms

The application of games in the field of education has brought new developments and updated educational needs to games. To maintain and improve students' learning motivation and interest, and more effectively carry out personalized teaching capabilities, research focuses on students' personalized knowledge structure. Starting from tracking the differences in knowledge structures among different learners, a game model based on entrepreneurial education theory has been designed. Through modeling learner knowledge using Bayesian network, the research constructs a game framework of entrepreneurial education for adaptive learning. On this basis, a new feature crossover method is proposed to construct a deep knowledge tracking model based on feature embedding and attention mechanism. It was combined with adaptive learning technology to ultimately construct an entrepreneurial education game model that integrates adaptive learning and improved deep knowledge tracking. A total of 379 students participated in the experiment. The experimental results on the ASSISTments09 open data set show that the area value under the receptivity curve of this model is 0.913, which is 8.8% to 26.6% higher than that of advanced models of the same type. The performance of the research model is optimal on different training scale data. Students' adaptability to entrepreneurship education games is higher than classroom teaching, with a difference between 2% and 11%. The experimental data demonstrates the high applicability of this research method and also achieves the goal of game design, which has certain practical teaching application value.

Targeting zero energy increment for an onboard CO2 capture system: 4E analyses and multi-objective optimization

In this paper, a novel zero energy increment onboard carbon capture (ZEIOCC) system was proposed. With LNG cold energy and waste heat recovery, the ZEIOCC system integrated organic Rankine cycle (ORC), CO2 liquification, and CO2 capture unit. The ZEIOCC system performances were evaluated via energy, exergy, economic, and environmental (4E) analyses. Parametric studies were performed to investigate the effects of the flue gas mass flow rate (mfg), liquid to gas ratio (L/G), and the pinch point temperature difference at the outlet of the ORC condenser (Tpin) on the system performance indicators. Furthermore, multi-optimization was conducted with the product of energy-exergy efficiencies (ηen,sys*ηex,sys), the total capital investment cost (CI,tot), and the carbon reduction capacity (ξ) as objective functions. Two decision methods TOPSIS and LINMAP were introduced to find the most optimal point from the Pareto front. Under the basic condition, the proposed system proved its advantages of high efficiency, diversified energy output, fast return on investment, and efficient CO2 capture capacity. The results of optimization showed that the system performances meet all the requirement of the design goal. The optimal energy-exergy efficiencies is 10.06 %, the carbon reduction capacity is 28.01 %, and the total capital investment cost is 7.06 × 106 $. Under the optimal condition, the system net output power (Wnet), energy efficiency, and exergy efficiency are 12 kW, 20.53 %, and 49.02 %, respectively. Meanwhile, the payoff period (POP) and the CO2 capture cost (CCC) are 12.0 year and 99.9 $/tonCO2, respectively.

Designing a blended delivery foundation mathematics course: Targeting self-efficacy, skill development and social connectedness

Foundation mathematics courses play a crucial role in allowing students who have not achieved the pre-requisite mathematics credits for tertiary studies to re-engage with STEM studies. This paper describes how targeting self-efficacy, skill development and social connectedness have influenced the design of a foundation mathematics course at a New Zealand university. These design goals are grounded in education literature, and the paper outlines how focusing on these goals has resulted in the design of a course that incorporates novel approaches to learning and assessment, including online and face-to-face components. These approaches include the use of large, automatically graded weekly quizzes; adaptive learning quizzes for essential skills such as fraction arithmetic; and an emphasis on face-to-face learning and connection through tutorials and collaborative problem-solving workshops. The paper concludes with reflections on the success of the course so far and raising questions for future investigation.

A számítógép segítette tervezési módszerek hatása a műszaki tervezésben

The goal of technical design is that the method used and the process followed produce a tangible result that provides an optimal solution to a specific technical problem. With the help of computer technology tools, various planning support procedures can be created, which, in addition to the methods of classical design methodologies, make the work of design engineers easier.

СУТНІСТЬ ОРГАНІЗАЦІЙНОГО ПРОЄКТУВАННЯ ТА ЙОГО МІСЦЕ В СТРАТЕГІЧНОМУ УПРАВЛІННІ ПІДПРИЄМСТВОМ

The article examines the interpretation of the concept of «organizational design». The study found that when interpreting it, scholars mainly adhere to two approaches: static and dynamic. Supporters of the former tend to view organizational design as the construction of organizational structures (organizational structure and management structure). In our opinion, in a changing external environment, it is more appropriate to consider organizational design from the standpoint of a dynamic approach as a constant process of large and small changes that occur in the management of an organization and its structure. Recently, «organizational design» has been used as an identical concept to «organizational design». It is proposed to consider organizational design (or organizational design) as a process of building or improving a formal organization in the course of finding a match between the key elements of the organization (organizational structure and management structure, personnel, tasks, decisionmaking and incentive systems, informal organization and organizational culture) and its strategy, taking into account environmental factors. The goal of organisational design is to develop a structure that best meets the organisation's strategic goals and objectives, taking into account the internal and external factors that affect it. The object of organisational design is the organisation itself. Organisational design is an important part of effective strategic management and cannot be a one-off event for a number of reasons. First, the growth of organizations necessitates the decentralization of power in order to create organizational prerequisites for delegating decision-making authority to locations closer to problem areas. Secondly, different types of work require different units, and since work is constantly changing, these changes are reflected in the units. Third, the organizational structure must be consistent with the chosen strategy. When an organization's strategy changes, the chances of success of the new strategy are enhanced with the support of organizational design. Fourth, since technology is an important part of any organization, as the organization's technology changes, information changes are required. Technology-related changes necessitate adequate changes in structure. The organization must adapt its structure (internal organization) and management processes to all these changes, and since such changes are constant and not always predictable, they require further post-implementation research.

Uncovering the behaviour of facility layout problem solutions in relation to factory design applications

The facility layout problem (FLP) significantly affects factory productivity and economy, but most layout design processes are still manual. Bridging the gap between automated layout design and its practical application in factory design is a significant challenge. To address this challenge, we present an approach in this paper that analyzes whether automated layout design processes can achieve the expected impact on layout design. Our approach involves a sensitivity analysis that is based on mathematically defined factors and variables to meet the relevant goals of factory design. We apply this approach to a test use case scenario.

Design and optimization of intelligent ventilation system in coal mine

With the continuous development of the coal industry, coal mine safety and environmental protection have gradually become the focus of important attention. The design and optimization of mine ventilation systems is a key factor in ensuring air quality and safety in the working area. In order to improve the application level of automation and intelligent equipment of mine ventilation system, under the existing conditions of mine, the design significance and goal of mine intelligent ventilation system are taken as the starting point, and the design and application effects are analyzed. By optimizing the layout of ventilation routes, increasing the number of sensors, building an intelligent ventilation system, optimizing the ventilation scheme in the main production scenarios such as coal face, driving face and opening up main roadway in the daily production process of the mine, realizing rapid wind regulation and wind counteraction when disasters occur, and using air flow short circuit to form protective measures, effectively avoiding the expansion of disasters and accidents. At the same time, remote automatic control of ventilation facilities and equipment is carried out to effectively improve the optimal utilization of air supply, avoid the phenomenon of insufficient air supply and waste of air volume, and improve the intelligent level of mine ventilation system.

InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers of Science and Technology.

Science has long been viewed as a key driver of economic growth and rising standards of living. Knowledge about how scientific advances support marketplace inventions is therefore essential for understanding the role of science in propelling real-world applications and technological progress. The increasing availability of large-scale datasets tracing scientific publications and patented inventions and the complex interactions among them offers us new opportunities to explore the evolving dual frontiers of science and technology at an unprecedented level of scale and detail. However, we lack suitable visual analytics approaches to analyze such complex interactions effectively. Here we introduce InnovationInsights, an interactive visual analysis system for researchers, research institutions, and policymakers to explore the complex linkages between science and technology, and to identify critical innovations, inventors, and potential partners. The system first identifies important associations between scientific papers and patented inventions through a set of statistical measures introduced by our experts from the field of the Science of Science. A series of visualization views are then used to present these associations in the data context. In particular, we introduce the Interplay Graph to visualize patterns and insights derived from the data, helping users effectively navigate citation relationships between papers and patents. This visualization thereby helps them identify the origins of technical inventions and the impact of scientific research. We evaluate the system through two case studies with experts followed by expert interviews. We further engage a premier research institution to test-run the system, helping its institution leaders to extract new insights for innovation. Through both the case studies and the engagement project, we find that our system not only meets our original goals of design, allowing users to better identify the sources of technical inventions and to understand the broad impact of scientific research; it also goes beyond these purposes to enable an array of new applications for researchers and research institutions, ranging from identifying untapped innovation potential within an institution to forging new collaboration opportunities between science and industry.

Building a Network Design and Implementation Framework of a Campus Area Network for the Mariano Marcos State University

A framework for network design and implementation is imperative to ensure value in the delivery of network services. Frameworks serve as guides in identifying value propositions to address the changing demands of the organization’s stakeholders. Frameworks prescribe efficient methods and appropriate tools that can be used to ensure that the implementation of a technological innovation addresses the demands, regardless of the changing IT landscape. The demand to deliver an efficient network service requires that the network have optimized levels of scalability, availability, performance, security, and other desirable network goals. These goals have to be prioritized depending on the goals of the organization. A framework for identifying priority service delivery components must be in place in order for the governing body and IT managers of the organization to objectively prescribe appropriate technological solutions to employ. The development of the proposed framework is patterned on Plan Design Implement Operate Optimize network life cycle, anchored on the principles of the service value chain of ITIL and the principles of IT governance using the goals cascade of COBIT. A review of existing studies was carried out to determine the prevailing technical goals and technology enablers that are peculiar to IT service management in a campus environment, specifically the delivery of computer network service. A framework was drawn to serve as a guide to achieving network design goals that are aligned with business goals, compliant with standards, and provide value to customers of state universities and colleges like Mariano Marcos State University.

An improved impedance space for extended hybrid continuous mode power amplifiers

AbstractExtended hybrid continuous mode expands the design bandwidth of the power amplifier (PA) by sacrificing drain efficiency. To balance the performance of drain efficiency and bandwidth, this letter limits the range of relevant parameters of its impedance space through theoretical analysis. An improved high‐efficiency load impedance space is proposed. Through the improved high‐efficiency impedance space, a PA operating at 0.8–2.2 GHz is designed, with a drain efficiency of more than 55% and an output power of more than 38.2 dBm, which verifies the design goals of broadband and high efficiency.

Design of broadband gradient resistive film metamaterial absorber based on genetic algorithm

In recent years, electromagnetic (EM) wave absorbing devices based on metamaterials have attracted widespread attention, due to their advantages such as broadband, easy preparation, and flexibility to tailor EM waves. Nevertheless, a review of the existing research reveals that the inherent sub-wavelength characteristics of metamaterials and metasurfaces impose certain constraints on their applications in low-frequency ranges. In order to achieve low detectability that takes into account both low-frequency and broadband absorbing performance, this work, presents a metamaterial absorber based on 5-layer gradient resistance film and dielectric composite structure, as shown in <xref ref-type="fig" rid="FigureAbstract">Fig. (a)</xref>. To begin with, we introduce the structural design of the initial element, and based on this, the transmission line theory and impedance matching principle are used to analyze the strong wave absorption conditions of the absorber element. In terms of the element structure optimization, the genetic algorithm is adopted to globally search for the optimal solution in the multi-variable domain, resulting in the rapid determination of metamaterial elements’ configurations and resistance parameters that meet the design goals. In the simulation, the wave absorption performance and mechanism of the designed absorbing element are also investigated in an in-depth manner. Simulation results show that the designed metamaterial absorber can achieve more than 90% EM wave absorption in a frequency range of 1.62–19.16 GHz (with a relative bandwidth of 168.8%) under normal incidence of linearly polarized plane waves, which effectively expands the absorption bandwidth to the L band and K band. In addition, the simulations for oblique incidence at different polarizations provide strong evidence for the device’s insensitivity to both polarization and angle. The radar cross section (RCS) curves obtained by the time domain (TD) simulation illustrate that the novel structure can achieve more than 10 dB RCS reduction in a frequency range of 1.7–20 GHz. In the device's performance verification process, a metamaterial absorber with 20 × 20 elements and dimensions of 1.566<inline-formula><tex-math id="M1">\begin{document}$ {\lambda }_{l} $\end{document}</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="7-20231781_M1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="7-20231781_M1.png"/></alternatives></inline-formula>×1.566<inline-formula><tex-math id="M2">\begin{document}$ {\lambda }_{l} $\end{document}</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="7-20231781_M2.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="7-20231781_M2.png"/></alternatives></inline-formula>× 0.113<inline-formula><tex-math id="M3">\begin{document}$ {\lambda }_{l} $\end{document}</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="7-20231781_M3.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="7-20231781_M3.png"/></alternatives></inline-formula> is fabricated and tested by using the bow method reflectivity test system. The absorptivity curves under 5° oblique incidence of different polarizations, show that the proposed metamaterial absorber can realize more than 80% EM absorption in an entire frequency range from 2 to 18 GHz, the test results of different polarizations are basically consistent. The test results at oblique incidence (<i>θ</i> ≥ 30°) show that although the measured and simulated curves exhibit discrepancies in certain frequency bands due to human error or material dispersion characteristics, the overall experimental results are consistent with our expectations, which fully proves that the designed metamaterial absorber has potential application value in the field of low-frequency and broadband EM absorption.

Integrated high performance microfluidic organic analysis instrument for planetary and space exploration.

The exploration of our solar system to characterize the molecular organic inventory will enable the identification of potentially habitable regions and initiate the search for biosignatures of extraterrestrial life. However, it is challenging to perform the required high-resolution, high-sensitivity chemical analyses in space and in planetary environments. To address this challenge, we have developed a microfluidic organic analyzer (MOA) instrument that consists of a multilayer programmable microfluidic analyzer (PMA) for fluidic processing at the microliter scale coupled with a microfabricated glass capillary electrophoresis (CE) wafer for separation and analysis of the sample components. Organic analytes are labeled with a functional group-specific (e.g. amine, organic acid, aldehyde) fluorescent dye, separated according to charge and hydrodynamic size by capillary electrophoresis (CE), and detected with picomolar limit of detection (LOD) using laser-induced fluorescence (LIF). Our goal is a sensitive automated instrument and autonomous process that enables sample-in to data-out performance in a flight capable format. We present here the design, fabrication, and operation of a technology development unit (TDU) that meets these design goals with a core mass of 3 kg and a volume of <5 L. MOA has a demonstrated resolution of 2 × 105 theoretical plates for relevant amino acids using a 15 cm long CE channel and 467 V cm-1. The LOD of LIF surpasses 100 pM (0.01 ppb), enabling biosignature detection in harsh environments on Earth. MOA is ideally suited for probing biosignatures in potentially habitable destinations on icy moons such as Europa and Enceladus, and on Mars.

Бұйымдарды жобалау кезіндегі сапаны басқару әдістерін талдау

At the present stage of the development of the economy of the Republic of Kazakhstan, enterprises in the machine-building complex are focusing on addressing customer requirements to ensure product competitiveness. This is reflected in the development of product technical characteristics. The article analyzes the existing methods of quality management in the design of products. The competitiveness of a product depends on the quality of the design process: on the accuracy of the design goals set and the level of their achievement in terms of meeting consumer requirements for this product. According to research data, defects detected during the production and operation of products account for 70% of all defects. This is attributed to the suboptimal quality of the planning, design, and production preparation processes. The earlier the quality parameters are determined and fixed, the fewer resources, time and financial resources will be required to obtain the final product with the necessary quality characteristics. The research carried out in terms of analyzing quality management methods at the product design stage allowed us to identify a method for deploying the quality function (QF), which has the following advantages: reducing the cost of a defect, increasing competitiveness by providing or expanding the consumer market by maximizing their needs. The disadvantages of the method include the unregulated procedure for making intermediate and final expert decisions.

Graph characterization of higher-order structure in atmospheric chemical reaction mechanisms

Abstract Atmospheric chemical reactions play an important role in air quality and climate change. While the structure and dynamics of individual chemical reactions are fairly well understood, the emergent properties of the entire atmospheric chemical system, which can involve many different species that participate in many different reactions, are not well described. In this work, we leverage graph-theoretic techniques to characterize patterns of interaction (“motifs”) in three different representations of gas-phase atmospheric chemistry, termed “chemical mechanisms.” These widely used mechanisms, the master chemical mechanism, the GEOS-Chem mechanism, and the Super-Fast mechanism, vary dramatically in scale and application, but they all generally aim to simulate the abundance and variability of chemical species in the atmosphere. This motif analysis quantifies the fundamental patterns of interaction within the mechanisms, which are directly related to their construction. For example, the gas-phase chemistry in the very small Super-Fast mechanism is entirely composed of bimolecular reactions, and its motif distribution matches that of an individual bimolecular reaction well. The larger and more complex mechanisms show emergent motif distributions that differ strongly from any specific reaction type, consistent with their complexity. The proposed motif analysis demonstrates that while these mechanisms all have a similar design goal, their higher-order structure of interactions differs strongly and thus provides a novel set of tools for exploring differences across chemical mechanisms.

Building a Flexible and Resource-Light Monitoring Platform for a WLCG-Tier2

Software development projects at Edinburgh identified a desire to build and manage our own monitoring platform. This better allows us to support the developing and varied physics and computing interests of our Experimental Particle Physics group. This production platform enables oversight of international experimental data management, local software development projects and active monitoring of lab facilities within our research group. Larger sites such as CERN have access to many resources to support generalpurpose centralised monitoring solutions such as MONIT. At a WLCG Tier2 we only have access to a fraction of these resources and manpower. Recycling nodes from grid storage and borrowed capacity from our Tier2 Hypervisors has enabled us to build a reliable monitoring infrastructure. This also contributes back to our Tier2 management improving our operational and security monitoring. Shared experiences from larger sites gave us a head-start in building our own service monitoring (FluentD) and multi-protocol (AMQP/STOMP/UDP datagram) messaging frameworks atop both our Elasticsearch and OpenSearch clusters. This has been built with minimal hardware and software complexity, maximising maintainability, and reducing manpower costs. A secondary design goal has also been the ability to migrate and upgrade individual components with minimal service interruption. To achieve this, we made heavy use of different layers of containerisation (Podman/Docker), virtualization and NGINX web proxies. This presentation details our experiences in developing this platform from scratch with a focus on minimal resource use. This includes lessons learnt in deploying and comparing both an Elasticsearch and OpenSearch clusters, as well as designing various levels of automation and resiliency for our monitoring framework. This has culminated in us effectively indexing, parsing and storing &gt;200GB of logging and monitoring data per day.

수학, 과학 교육용 저작 도구를 활용한 수업 설계 및 실행에서 교사들이 경험한 어려움 분석

Objectives In this study, we explored and discussed the difficulties experienced by teachers in designing and implementing instruction using authoring tools for mathematics and science education from the perspective of TPACK.&#x0D; Methods For this purpose, 23 elementary and secondary school teachers were recruited, and 15 teams were organized according to the level and subject of interest to participate in instruction design and implementation using authoring tools for mathematics and science education. Thematic analysis was conducted from the results of reflection journals and interviews to derive the difficulties experienced by teachers, and related TPACK components were coded.&#x0D; Results Teachers experienced difficulties in ‘using the block coding function of the authoring tool’, ‘efficient time management’, ‘meta-cognitive shift phenomena’, ‘use of curriculum materials and setting learning goals’, ‘anticipation of learners' thinking and responses’, and ‘designing interactive feedback’.&#x0D; Conclusions It is necessary to find a support plan for strengthening mathematics and science teachers’ TPACK expertise such as TK related to understanding the block coding environment and using it appropriately for instruction design, TPK related to efficiently managing time and overcoming extreme didactic phenomena such as metacognitive shift in instructional design and implementation using authoring tools, TCK related to using curriculum materials and clearly setting learning goals in instructional design and implementation, TPACK related to designing interactive feedback and anticipating learner’s thinking and reaction.&#x0D;

Investigation of temperature effects in RC-Steel composite industrial building model with FEM

Today, composite structure design has become very popular. The most important goal in composite structure design is to create the most efficient structural system under load by using materials that respond positively to different cross-section effects. Industrial type buildings, on the other hand, consist of very wide openings. In addition, industrial buildings are required to be designed to be constructed quickly and simply. For all these reasons, there has been an increase in the construction of industrial buildings in the form of reinforced concrete-steel composite structures. The effect of temperature in buildings is a parameter that should be considered both in design and use. It is a scientific fact that the expansion and contraction coefficients of reinforced concrete and steel are different. The temperature effect has an even more important place in composite construction systems where both are used together. For all these reasons, in this study, a reinforced concrete-steel composite industrial building model was created and its responses at -50°C and 50°C were examined. As a result of the findings obtained, the effect of temperature in reinforced concrete-steel composite industrial structures should definitely be taken into account both in the design and in the use and maintenance stages.

Misconception tendency of differentiated instruction in publicly shared teaching and learning videos on youtube: A mixed-methods exploration study

Differentiated instruction is a pedagogical approach in which teachers fulfill students' needs based on their interests and learning profiles. This paradigm is new to the Indonesian educational sector as the government of Indonesia introduced the Merdeka curriculum in 2022, which offers a new style of teaching and learning in Indonesia through differentiation in the classroom. As an unfamiliar approach, the recent practice of differentiated instruction may lead to a misconception, particularly in its implementation. This paper focuses on witnessing teachers' misconceptions regarding differentiated instruction in three major aspects: teacher-student relations, teacher-learning design, and teacher-learning goals, using a mixed method with an explanatory sequential design. The first phase includes video observation for qualitative data collection to build variables and obtain quantitative results. This research used a purposive sampling technique with a total of seventy-seven teaching and learning in Indonesian high school videos from YouTube with particular keywords related to differentiation. All the videos were uploaded on YouTube in 2022, ranging from January 2022 to December 2022, and were from various origins and subjects. The final result and interpretation show that the score of differentiated instruction implementation through the observation checklist was 0.4722, considered satisfactory. Furthermore, this study identifies three aspects of differentiation that need to be strengthened, including learning pace settings, giving oral feedback to students based on their needs, and responding proactively to diverse students. The recommendations for tackling misconceptions regarding differentiated instruction are given for better future implementation.

Topological Optimization of Bi-Directional Progressive Structures with Dynamic Stress Constraints under Aperiodic Load

The topology optimization of dynamic stress constraints is highly nonlinear and singular and has been little studied. Dynamic stress based on progressive structural optimization is only available by applying the modal iteration method, but due to the nonlinear limitations of the modal superposition method, there is an urgent need to develop a progressive structural optimization method based on dynamic stress sensitivity under direct integration. This method is for the dynamic stresses under non-periodic loading with iterative cycle updating variations. This article proposes a topological optimization method of continuum structures with stress constraints under an aperiodic load based on the Bi-directional Evolutionary Structural Optimization Method (BESO). First, the P-norm condensation function was used to obtain the global stress to approximate maximum stress. By introducing the Lagrange multiplier, the design goal was to increase the P-norm stress on the basis of the smallest volume. After that, based on the dynamic finite element theory, the sensitivity of each cell formula of the objective function and the constraint conditions of the design variables were strictly derived. Then, the performance evaluation index was put forward based on volume and stress, and the convergence criterion based on the performance evaluation index was defined. This method solves the topology optimization problem of stress constraints under a non-periodic load and the topology optimization problem of stress constraints under a periodic load, such as a simple harmonic load.

Construction of Online Interactive Teaching Platform for College English Based on Multilayer Perceptual Machine Modeling

Abstract Most of the existing English online teaching platforms are just digital replicas of offline teaching, which cannot fully utilize the advantages of information technology. Based on the learning theory of constructivism, this paper builds the functional architecture of a personalized English interactive teaching platform and completes the design of the main functional modules. According to the quantitative results of the platform’s user proposition requirements, a matrix description method for English test papers is proposed, and an algorithm is designed to realize the automatic generation of test papers. Meanwhile, the resource recommendation mechanism of the English platform is optimized using a multilayer perceptual machine. Unstructured English learning resources are processed based on the word vector representation method, and for the problem of insufficient processing of nonlinear data in the DN-CBR model, multilayer training is carried out using the MLP to improve the perceptual degree of this part of the data, and the design goals are verified through the test of the teaching platform. The correlation coefficient between self-assessment difficulty and topic difficulty is 0.368, and the correlation coefficient between self-assessment difficulty and positive error is 0.163, indicating that there is a moderate correlation between learners’ self-assessment difficulty and the difficulty of the system topics and between learners’ self-assessment difficulty and positive error. The MLP-based pushed questions’ difficulty is adapted to the learner’s personalization level by dynamically revising it based on their learning process data.