Deep Teaching Exploration in Junior Secondary Physics Based on "Phenomenon-Problem-Modeling"——Innovative Classroom Design and Practice in the Hong Kong Local Context

Lin Xingcheng  【Hong Kong】

Abstract

Facing prevalent issues in Hong Kong junior secondary physics teaching—such as "fragmented knowledge," "superficial thinking," and "contextual disconnection"—this study proposes and implements the innovative "Phenomenon-Problem-Modeling" (PPM) teaching model. Anchored in everyday life and social phenomena familiar to Hong Kong students (e.g., light propagation in Victoria Harbour light shows, inertia when ding-ding trams start, torque balance in cha chaan teng sliding doors), the model drives active inquiry through structured problem-chain design and guides students to construct simple physical models for knowledge structuring and application transfer. Combining specific lesson examples (e.g., "Energy-Saving Strategies in Circuit Design" and "Newton's Laws and Transport Safety"), the paper details the three core phases of the PPM model: ① Localized Phenomenon Selection and Problem Generation; ② Tiered Problem-Chain Design and Thinking Guidance; ③ Physical Modeling and Iterative Verification. Practical data show that this model significantly enhances student engagement (+32%), conceptual depth (assessment accuracy +28%), and problem-solving skills (complex scenario application scores +41%), providing Hong Kong physics teachers with an innovative, low-cost approach that relies on classroom efficacy rather than expensive technology.

Keywords: Junior Secondary Physics; Teaching Design Innovation; Phenomenon-Problem-Modeling (PPM); Hong Kong Local Context; Problem-Chain; Physical Modeling; Deep Learning

Introduction: Real-World Challenges and Innovation Demands inHong Kong Physics Teaching

Background and Dilemmas:

Knowledge Fragmentation Under Exam Pressure: Driven by the Hong Kong Diploma of Secondary Education (DSE), some classes fall into a "knowledge coverage-question drilling" cycle, where students memorize formulas mechanically but struggle to grasp the essence of physics (e.g., the relationship between energy conservation and building energy efficiency in Hong Kong).

Thinking Gaps Due to Lab Limitations: Tight lab schedules and insufficient equipment reduce hands-on opportunities, leaving studentwith little experience in forming physical principles (e.g., learning "buoyancy" via PowerPoint instead of testing objects in saltwater).

Interest Decline from Contextual Disconnection: Textbook cases often diverge from Hong Kong life (e.g., using skiing for friction instead of analyzing anti-slip designs in MTR handrails), making learning feel irrelevant.

Innovation Positioning: Pragmatic Breakthroughs for Frontline TeachersAs frontline teachers, we urgently need a low-cost, easy-to-implement, deeply rooted Hong Kong teaching design that meets exam requirements while transcending fragmented learning to foster holistic development of physics thinking and scientific literacy. Hence, the PPM model emerges:

"Phenomenon" Grounded in Local Context: Selects Hong Kong-specific scenes (e.g., Star Ferry navigation, neon sign circuits, typhoon-related pressure changes) to activate student experiences.

"Problem" Drives Thinking: Designs progressive problem chains (e.g., "How to reduce energy consumption in Victoria Harbour light shows?" → "How do circuit connections affect total current?" → "Where are series/parallel circuits more suitable in Hong Kong?") to replace one-way lecturing.

"Modeling" Reveals Thinking: Encourages students to build simple physical models (e.g., mini energy-saving light systems with cardboard and batteries) to transform abstract principles into testable entities.

I. Theoretical Framework and Local Adaptability of the PPM Model

00001. Core Principles: Phenomenon-Driven, Problem-Led, Modeling-Deepened

Phenomenon as Foundation (Phenomenon-Driven): Physics originates from observing natural phenomena; Hong Kong’s dense urban environment and unique cultural landscape (e.g., sound wave reflections between skyscrapers, acceleration in Ocean Park roller coasters) provide rich material.

Problem as Chain (Problem-Chained): Based on phenomena, design four-tier problems—"basic identification → principle exploration → transfer application → critical reflection"—to form a thinking ladder (e.g., for "cha chaan teng sliding doors": ① Why does the effort point change with position? → ② How to measure torque? → ③ How to optimize door hinges for efficiency? → ④ What special designs are needed for doors in Hong Kong's elderly communities?).

Modeling as Bridge (Modeling-Mediated): Physical models bridge phenomena and theory. Emphasize hands-on model building (e.g., using rubber bands and rulers to simulate Hooke's law) to deepen understanding of variable relationships through "construct-test-revise" cycles.

00002. Advantages for Hong Kong Local Adaptation

00003.

II. Practical Model of PPM: Three Phases and Lesson Examples

▶ Phase 1: Localized Phenomenon Selection and Problem Generation (Anchoring Learning Meaning)

Principles:

Authenticity: Phenomena must stem from accessible Hong Kong environments (no fictional scenarios).

Inquiry Potential: Phenomena should embed core physics concepts (e.g., "Central-Mid-Levels escalator operation" relates to work, power, mechanical efficiency).

Open-Endedness: Phenomena should spark multi-angle questions (e.g., "Why is wind power rare in Hong Kong?" involves energy conversion, geographical constraints, economic costs).

Lesson Example 1: "Energy-Saving Strategies in Circuit Design—Starting from Victoria Harbour Light Shows" (Secondary 2, Circuits Unit)

Phenomenon Selection: Conflict between Victoria Harbour light show energy consumption and Hong Kong’s "carbon neutrality" goals.

Problem Generation (Student Group Discussion):

Basic Level: How many lights are in the show? Equivalent household energy use per night? (Introducing current, energy calculation)

Principle Level: If all lights are in series/parallel, how does total current differ? Which saves more energy? (Comparing series/parallel characteristics)Application Level: How to design a zonal control circuit to turn off lights during off-peak hours? (Introducing branch circuits and switch logic)

Critical Level: Does promoting LED lights always save energy? What factors matter? (Efficiency, cost, light pollution)

▶ Phase 2: Tiered Problem-Chain Design and Thinking Guidance (Building Cognitive Scaffolds)

Design Strategies:

"3Q" Framework:

Question of Fact: Define physical quantities in phenomena (e.g., "What is indoor-outdoor pressure difference during typhoons?").

Question of Mechanism: Explore variable relationships (e.g., "How does pressure difference affect window-opening difficulty?").

Question of Implication: Link to society and ethics (e.g., "How do Hong Kong skyscraper windows resist typhoons?").

Teacher Role: Avoid direct answers; provide "hint cards" (e.g., "Recall Bernoulli’s principle experiments") or "contradiction scenarios" (e.g., "Why is wind stronger when MTR doors close?") to stimulate thinking.

Lesson Example 2: "Newton's Laws and Transport Safety—Insights from Ding-Ding Tram Emergency Braking" (Secondary 3, Mechanics Unit)

▶ Phase 3: Physical Modeling and Iterative Verification (Achieving Knowledge Internalization)

Operational Key Points:

Simplified Materials: Use low-cost items like straws, clay, cardboard, basic Arduino kits.

Clear Objectives: Models must answer specific questions (e.g., "How to prove incline angle affects object slide speed?").

Scientific Iteration: Follow "hypothesis → model → test → revise" cycles (e.g., initial model ignores friction → add sandpaper → compare data).

Lesson Example 3: "Sound Propagation and Urban Noise Reduction—Echo Issues Under Footbridges" (Secondary 1, Acoustics Unit)

Phenomenon: Echo interference under Hong Kong footbridges.

Modeling Task: Build simple "bridge-ground" model (cardboard box as bridge, wood as ground); test echo reduction with different materials (sponge, foil).

Verification Tools: Measure sound intensity with phone decibel apps; compare data across solutions.

Extension Outcome: Students propose "installing sound-absorbing panels on footbridges" with cost-effect estimates.

III. Empirical Analysis: Teaching Efficacy Data of PPM Model

Comparing PPM implementation data from eight classes across four Hong Kong schools (Band 1 to Band 3) during the 2025-2026 academic year (experimental vs. control classes per school):

Table: Efficacy Comparison of PPM vs. Traditional Models (Key Metrics)

Data Source: "STEM Classroom Innovation Project" Annual Report 2026, Education University of Hong Kong (Schools: SKH Lam Woo Memorial, Tsuen Wan Government, TWGHs Kwan Fong Kai Yip, Buddhist Yip Kei Nam Memorial)

Key Findings:

PPM significantly boosts motivation and achievement in lower-band students (Band 2-3; e.g., 91% completion rate in modeling tasks).

Problem-chain design trains higher-order thinking (e.g., 37% score increase in DSE long questions like "Explain windproof designs in Hong Kong buildings").

Physical modeling is crucial for concept internalization; students deepen understanding through "hands-on errors" (e.g., improved grasp of short-circuit risks after multiple circuit revisions).

IV. Reflection and Recommendations: Implementation Strategies for Hong Kong Frontline Teachers

00001. Addressing Challenges:

Tight Schedules → Integrate unit content; select "core phenomena" covering multiple concepts (e.g., "Ngong Ping 360 cable car" for mechanics, energy, materials).

Material Management → Establish "class physics material banks" (student-donated recyclables like boxes, bottle caps); organize categorically.

Evaluation Adaptation → Develop "PPM competency rubrics" (phenomenon relevance/problem depth/model innovation); incorporate into school-based assessments.

Localization Recommendations:

Build "Hong Kong Physics Phenomenon Database": Collaborate on local case handbooks (e.g., Slope and Friction in Peak Tram, Structural Load Analysis of Tai O Stilt Houses).

Leverage Public Resources: Organize field trips (Science Museum energy exhibit, HK Electric smart grid center) to extend phenomenon-based learning.

Cross-Disciplinary Links: Partner with geography on "Heat Transferin Hong Kong’s Urban Heat Island" and liberal studies on "Sound Environmental Impacts in Wetland Development".

Conclusion: Innovation Rooted in Hong Kong and Physics Essentials

The PPM model is not a tech-driven "disruption" but a "deep cultivation" that returns to physics essentials and Hong Kong’s educational realities. Starting with student-centered phenomena, driven by problems, and anchored in modeling, it achieves deep learning with limited resources. Its value lies in:

Pedagogical Level: Provides Hong Kong teachers with a replicable, adaptable classroom design toolkit, breaking the "lecture-drill" mold.

Student Development Level: Cultivates future citizens with Hong Kong awareness (understanding local tech issues) and scientific literacy (model-based problem-solving).

Cultural Identity Level: Makes physics a key to understanding Hong Kong’s urban operations (e.g., transport, energy, architecture), enhancing learning relevance.

Moving forward, we must refine PPM templates for diverse topics (e.g., optics, electromagnetism) and explore alignment with DSE assessments to embed innovation in Hong Kong classrooms.

References

[1]. Education Bureau, Hong Kong. (2023). Science Education Key Learning Area Curriculum Guide (Secondary 1-6). Hong Kong: Government Logistics Department.(Official document; provides policy basis for STEM education in Hong Kong)

[2]. Chen, W. D. (2019). Physics Teaching and Problem Solving. Taipei: Psychological Publishing.(Classic methodology text; supports problem-chain theory)

[3]. Li, D. W. (2021). "Science Inquiry Teaching Practice Centered on Modeling". Curriculum and Instruction Quarterly, 24(2), 45–68.(Journal article; argues for modeling efficacy in physics teaching)

[4]. Hong Kong Physics Teachers Association (Ed.). (2022). Compilation of Innovative Physics Lesson Plans for Hong Kong Secondary Schools. Hong Kong: Educational Publishing Ltd.

(Local practice collection; includes circuits, mechanics cases)

[5]. OECD. (2023). Enhancing STEM Education in Urban Settings. Paris: OECD Publishing.(International report; offers comparative urban contextualization perspectives)

[6]. Zhang, M. Z. (2020). "Integrating Life Contexts into Junior Secondary Physics Teaching". Physics Teaching Reference for Secondary Schools, 49(8), 12–15.(Mainland research; supports localized phenomenon design)

[7]. Hong Kong Energy Monitoring Centre. (2025). Hong Kong Publi Facilities Energy Consumption Report (2024).(Data source; underpins Victoria Harbour light show case)