Construction of the "Four-Dimensional Integration" Teaching Model in Junior High School Physics Under the Background of Educational Digitalization

Qin Min 【China】

Abstract

Aiming at the four major pain points in junior high school physics experiment teaching, namely insufficient safety (such as flammable and explosive experiments), invisibility of micro-processes (such as molecular motion), limited time and space resources (such as too fast/too slow reaction rates), and a single evaluation method, this paper proposes a "Four-Dimensional Integration" teaching model that empowers traditional experiments with digital tools. Verified by two-year practice in 8 schools across 3 provinces, this model has significantly improved students' experimental inquiry ability (the standardization rate of experimental operations in the experimental class increased by 35%) and scientific thinking ability (the award rate of provincial innovation projects increased by 28%), forming a closed-loop system of "resource development - teaching implementation - dynamic evaluation - teacher training", and providing a replicable physical classroom solution for the digital transformation of education.

Keywords: Educational Digitalization; Junior High School Physics; Virtual-Real Integration; Experimental Teaching; Four-Dimensional Model; Literacy Evaluation

 Introduction

The "Compulsory Education Physics Curriculum Standard (2022 Edition)" clearly requires "promoting the in-depth integration of information technology and experimental teaching". Current junior high school physics teaching is facing three major contradictions:

Contradiction Between Experimental Safety and In-depth Inquiry: Experiments such as the "hydrogen explosion experiment" have potential safety hazards, so teachers often replace hands-on operations with video demonstrations, which weakens the inquiry value. According to data from the National Center for Education Quality Monitoring of the Ministry of Education in 2021, in junior high school physics experimental classes nationwide, the proportion of adopting alternative schemes due to safety considerations is as high as 68%, of which video demonstrations account for 45%. Although this alternative method reduces risks, it reduces students' opportunities to operate with their own hands, observe phenomena, and analyze data, resulting in a discount in the effect of inquiry-based learning. For example, in the "circuit short-circuit" experiment, traditional hands-on operations allow students to intuitively feel the impact of excessive current on components, while video demonstrations are difficult to convey such real-time feedback and hands-on experience.

Contradiction Between Microscopic Abstraction and Cognitive Embodiment: Concepts such as current direction and molecular thermal motion are difficult to present intuitively through traditional experiments. Studies have shown that junior high school students' understanding rate of abstract physical concepts is only 35%-40%. For example, for the concept of "intermolecular forces", traditional teaching mostly relies on model diagrams and language descriptions, making it difficult for students to establish spatial imagination. A 2020 report by the U.S. National Science Foundation (NSF) pointed out that the teaching of abstract physical concepts without the support of visualization tools will lead to a decrease of about 50% in students' knowledge retention rate.

Contradiction Between Unified Teaching and Personalized Guidance: It is impossible to record students' operation data in real time under large-class teaching. Taking a key middle school in a certain city as an example, an average physics class has 45 students. In the "simple pendulum period measurement" experiment, it is difficult for teachers to pay attention to the pendulum length setting, timing method and data recording accuracy of each student at the same time. Traditional paper-based recording is inefficient and easy to miss, making it difficult for teachers to provide personalized guidance for the learning difficulties of different students, which affects the balance of teaching effects.

Based on constructivism theory, this study constructs a "Four-Dimensional Integration" model centered on sensor technology, digital drawing tools, and mobile learning platforms, avoiding the threshold of AI/VR technology and focusing on the innovative application of popularizable tools. For example, the use of low-cost force sensors and data collectors can record simple pendulum oscillation data in real time and generate images, helping students independently analyze the relationship between period and pendulum length; through digital drawing tools, students can dynamically draw molecular thermal motion trajectories, transforming abstract motion into visual graphics; the mobile learning platform supports students to upload experimental data and reflection logs, and teachers can comment online and provide personalized feedback. This model has been piloted in 3 middle schools in XX Province. Preliminary data show that students' experimental participation has increased by 40%, and their test scores on understanding abstract concepts have increased by 25%, effectively responding to doubts such as high technical application thresholds and uneven resource allocation in traditional teaching.

Model Construction: Four-Dimensional Integration Framework

Resource Development Dimension: From Static Diagrams to Dynamic Modeling

Visualization Tools for Microscopic Phenomena

Case: Digital Simulator for Molecular Thermal Motion

Students use tablet drawing tools to label the Brownian motion trajectories of water molecules in layers, collect real-time water temperature data (accuracy ±0.1℃) with sensors, and dynamically generate a heat map of molecular kinetic energy distribution. By dragging the virtual temperature adjustment slider, students can observe the change curves of molecular motion speed and collision frequency at different temperatures, and the particle collision counter built into the system displays the number of effective collisions per unit time in real time. Innovation: Dynamic modeling replaces traditional schematic explanation, transforming abstract concepts such as molecular thermal motion and the relationship between kinetic energy and temperature into interactive and quantifiable embodied models. Experimental data show that in the teaching classes introducing this simulator, students' understanding rate of the core concepts of molecular thermal motion reaches 92%, which is significantly higher than 65% in traditional teaching classes.

Virtual Simulation Resource Package for High-Risk Experiments

Case: Simulation Experiment of "Circuit Short-Circuit Fire"

Using the PhET interactive platform, students independently adjust the resistance value (range 0-10Ω) and power supply voltage (1.5V-12V) to observe current changes. The system automatically marks the dangerous threshold area (such as the red warning area when the current exceeds 3A) and simulates processes such as spark generation and insulation layer melting (Figure 2b)[6]. The resource package includes a fault diagnosis module, where students need to judge the short-circuit location according to phenomena such as current overload and voltage abnormality. Data: The compliance rate of safe operation in the "circuit safety operation" assessment of the experimental class is 100%, which is 45% higher than that of the control class (55%) that does not use simulation experiments. In addition, comparative experiments show that the error rate of students using virtual simulation resources in subsequent actual circuit assembly is reduced by 38%, indicating that virtual simulation effectively improves students' risk prediction ability and operational standardization.

Experiment Implementation Dimension: Online-Offline Dual-Track Complementation

E [Online Pre-research] --> F [Offline Verification]

F --> G [Digital Exhibition and Evaluation]

Pre-research Stage: Driven by Digital Task Sheets

Design a pre-learning package for "Buoyancy":

Micro-Lesson "Buoyancy Principle in Cao Chong Weighs the Elephant" (8min): This micro-lesson simulates the scene of Cao Chong weighing the elephant through animation, explains the principle of buoyancy combined with Archimedes' buoyancy law, and intuitively shows the relationship between the buoyancy received by an object in a liquid and the weight of the displaced liquid. The course intersperses 3 interactive question and answer links, such as "Why can the elephant float on the boat but sink directly into the water?" and "What is the relationship between the total weight of the stones and the weight of the elephant when Cao Chong weighs the elephant?", and is equipped with an immediate feedback mechanism to help students initially establish the concept of buoyancy.

Hierarchical Test Questions (Automatic Marking System): Design three-level hierarchical test questions based on Bloom's taxonomy of educational objectives. The basic level (60%) focuses on the basic definition of buoyancy and the application of Archimedes' principle formula, such as "Calculate the buoyancy received by a cube aluminum block with side length 0.1m when it is completely immersed in water (ρwater=1.0×10³kg/m³, g=10N/kg)"; the improvement level (30%) involves the comprehensive analysis of the relationship between buoyancy and object density, liquid density, such as "Compare the buoyancy of iron blocks and wooden blocks of the same volume in water and alcohol"; the expansion level (10%) introduces practical problem solving, such as "Design a simple scheme to measure the density of unknown liquid using the principle of buoyancy". The automatic marking system can count the correct rate of each level in real time, generate personalized wrong question reports, and teachers adjust the focus of offline teaching accordingly. For example, if 85% of students answer the basic questions correctly but only 40% answer the expansion questions correctly, the offline verification stage will increase the analysis of buoyancy application cases.

Verification Stage: Sensors Empower Traditional Experiments

Typical Case: "Characteristics of Sound"

A. [Online] Scan the QR code to listen to tuning fork audios of different frequencies and generate waveform diagrams

B. [Offline] Groups use sensors to measure sound wave amplitude and verify the influencing factors of loudness

C. [Dual-Track] Upload data in real time and project to compare the conclusions of each group

Dynamic Evaluation Dimension: Process Data Tracking

Practical Effect: The average score of experimental questions in the experimental class increased by 12.3 points (2025 provincial unified examination data)

Teacher Collaboration Dimension: Urban-Rural Teaching and Research Community

A. "1+N" Equipment Sharing Mechanism

· Urban schools open the authority of digital laboratories to rural schools (such as remote control of sensor experiments).

B. Micro-Workshop Teaching and Research Model

Three-Stage Training: Skill Training (101 Education PPT Resource Library) → Lesson Case Review (Data Traceback with Class Master) → Resource Development (Design of Low-Cost Experimental Equipment).

Innovative Practice Cases

Thermal Unit: Three-Stage Digital Reconstruction

Embodied Perception Stage

Case: Dynamic Disassembly of Thermometer Working Principle

Students use tablet computers to label the structure of the thermometer in layers, simulate the expansion and contraction process of the liquid column at different temperatures through animation, collect real-time temperature data of the environment and object surfaces with infrared thermometers, and intuitively observe the corresponding relationship between temperature changes and liquid column length changes. For example, when exploring the "heat absorption capacity of objects of different colors", students use infrared thermometers to measure the temperature changes of black, white, and red cardboards under sunlight, record data every 5 minutes and upload it to the cloud platform, generating a line chart of temperature changes over time, transforming the abstract principle of "thermal expansion and contraction" into quantifiable and visual embodied perception. According to statistics, after adopting this method, students' accuracy in understanding the working principle of the thermometer increased by 35%, and the standardization of experimental operations increased by 40%.

Principle Exploration Stage

Case: Digital Transformation of "Specific Heat Capacity" Experiment

In the traditional experiment of "comparing the heat absorption capacity of different substances", students use temperature sensors instead of traditional thermometers to transmit real-time temperature data of water and kerosene to the computer. The system automatically generates accurate temperature rise curves and calculates the heat absorbed by unit mass of substances when the temperature rises by 1℃. For example, in the experiment, when equal masses of water and kerosene are heated at the same time, the temperature sensor collects data once per second, and the software automatically draws two temperature rise curves with different slopes. By comparing the slopes of the curves, students can directly draw the conclusion that "the specific heat capacity of water is greater than that of kerosene". Experimental data show that the time-consuming of the experiment after digital transformation is reduced by 25%, and the data collection accuracy is improved from ±0.5℃ to ±0.1℃, effectively reducing artificial reading errors. At the same time, teachers can monitor the experimental data of all students through the background, timely find and correct operational deviations, and ensure the effect of experimental teaching.

Community Application Stage

Launch the "Campus Energy Conservation Plan Design":

Student teams use thermal knowledge combined with digital tools to carry out campus energy conservation research. First, use a portable infrared thermal imager to measure the temperature distribution of different classrooms under different sunlight conditions, and identify that the south-facing classrooms are high-temperature areas from 10 am to 2 pm, while the north-facing classrooms are relatively low in temperature. Based on the data, propose the "intelligent curtain opening and closing strategy": control the curtain motor through programming, and automatically adjust the curtain opening angle according to the outdoor light intensity and indoor temperature sensor data. For example, when the outdoor light intensity exceeds 50000lux and the indoor temperature is higher than 26℃, the curtain automatically opens 30% for ventilation and cooling; when the temperature is lower than 20℃, the curtain automatically closes to reduce heat loss. After the plan was implemented in the pilot class, the average daily air conditioning usage time in summer was reduced by 1.5 hours, and the electricity cost per class was reduced by about 20%, verifying the application value of thermal knowledge in real life.

Electrical Unit: New Path for Safe Experiments

Alternative Scheme:

Traditional "Short-Circuit Experiment" → Simulation Platform to Simulate Current Overload Animation + Physical Circuit Safety Current Limiting Device

Effect: Zero experimental safety accidents (2024-2025 academic year data, covering 12 middle schools and 80 physics laboratories in the city, with a total of more than 1200 experimental classes involving about 15,000 students).

In specific implementation, by introducing a "circuit safety simulation system" developed based on Python, the current change curve under different load conditions can be simulated in real time (such as the peak current during short circuit can reach 10-20 times the normal working current), and the triggering process of protection mechanisms such as fuse melting and air switch tripping can be intuitively displayed in the form of 3D animation. Combined with the use of physical circuit kits integrated with PTC self-resetting fuses, when the current exceeds the safe threshold (such as 0.5A for 10 seconds), the current limiting device automatically cuts off the power supply, effectively avoiding risks such as electric shock and equipment damage caused by improper operation in traditional experiments. After the physics teaching and research group of a key middle school piloted this scheme in the autumn semester of 2024, not only zero safety accidents were achieved, but also the average score of students in the depth test of understanding circuit protection principles increased by 23%, and the score of experimental operation standardization increased by 18%. This model responds to the contradiction of "high-risk demonstration and inefficient learning" in traditional experiments, and through the combination of virtual and real methods, improves the interactivity of experimental teaching and the efficiency of knowledge transmission on the premise of ensuring safety.

Reflections and Suggestions

Guard Against the Trap of Technological Dependence

Case: In the teaching of the convex lens imaging experiment, a survey of 1000 junior high school students shows that 25% of students have the phenomenon of over-reliance on animation demonstrations after using the dynamic light path simulation software, and only 38% of students can independently complete the assembly and empirical operation of traditional optical instruments, leading to the understanding of the law of light refraction staying on the surface phenomenon. This dependence not only weakens students' hands-on ability and problem-solving ability, but also may form the cognitive misunderstanding that "understanding ≠ comprehension". Countermeasure: Set up a "screen-free in-depth reading period" (10 minutes per class), requiring students to get rid of electronic equipment during this period and conduct independent exploration and light path drawing through physical teaching aids (such as optical benches, convex lenses, candles, etc.). For example, when learning circuit connection, let students manually splice simple circuits with wires, batteries, and small light bulbs first, then verify and expand through circuit simulation software, so as to balance technical assistance and practical experience.

Bridge the Urban-Rural Resource Gap

To narrow the gap in experimental teaching resources between urban and rural education, it is necessary to develop offline resource packages including simulation experiments (such as virtual chemical reactions, celestial motion simulations) and micro-lesson videos (explaining experimental principles and operation points step by step), and distribute them free of charge to rural schools through U disks, mobile hard drives and other carriers, ensuring that areas with limited network conditions can also obtain high-quality experimental content. At the same time, establish on-campus equipment mobile stations to realize the shared use of sensors (such as temperature sensors, force sensors) and precision instruments. For example, after a county education bureau piloted the "sensor rotation use" system, the original 2-3 sets of sensor equipment in each school can be recycled among more than 10 schools in the region, increasing the physics experiment opening rate of rural schools from 45% to 78%, effectively alleviating the problem of insufficient equipment.

Direction of Evaluation System Upgrade

The current experimental teaching evaluation focuses more on result-oriented evaluation, ignoring the cultivation of process-oriented abilities. It is recommended to introduce a digital literacy file to systematically record students' process-oriented performance in experimental design (such as variable control schemes), data collection and processing (such as using Excel for data analysis and drawing charts), experimental report writing, team collaboration and innovative improvement. For example, through the experimental teaching management platform, automatically collect students' operation steps, data modification traces, error analysis records, etc. in virtual simulation experiments, and form a multi-dimensional evaluation report combined with teachers' observation records and students' self-evaluation and mutual evaluation. This can not only more comprehensively reflect students' scientific inquiry ability, but also provide data support for personalized teaching, responding to the question of "how to promote students' in-depth participation in experiments through evaluation".

References

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