Inquiry Practice Capability and Students’ Learning Effectiveness Evaluation in Strategies of Integrating Virtual Reality into Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice: A Case Study
Abstract
:1. Introduction
2. Literature Review
2.1. General Guidelines of Curriculum Guidelines of 12-Year Basic Education and Core Competencies
2.2. The Era of Competence-Oriented Instruction and Assessment
2.3. Zone of Proximal Development (ZPD) and Scaffolding Theory
2.4. Virtual Reality (VR)
2.5. VR Practical Curriculum Integrating into Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice
2.6. The Investigation and Practical Skills of Scaffold-Assisted Virtual Reality Integrating into Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice
2.6.1. Inquiry and Practice Instruction
2.6.2. Inquiry Practice Capability Integrated into Vygotsky’s Scaffolding Theories
2.6.3. Learning Effectiveness in Practice Capability Instruction Units
- Entry Level: In “Unit 1—Get Familiar with Practice Factory Environment and Maintenance Tools Operating Procedure”, virtual reality assisted students with the vehicle maintenance plant environment to become familiar with the tool equipment, operating line and safety and hygienic knowledge simulation practice. Then, the investigation of students’ learning effectiveness in knowing basic tools and operation processes and knowing the vehicle maintenance plant environment was conducted through their practical skills evaluation, which is shown in Figure 4.
- Basic Level: In “Unit 2—Disassembly and Functional Testing of the Automotive Alternator Starting Motor”, virtual reality assisted students with becoming familiar with disassembly processes and tools and equipment usage. Then, the investigation of students’ learning effectiveness was conducted through their practical skills evaluation, which is shown in Figure 5.
- Advanced Level: In “Functional Testing and Troubleshooting of the Automotive Alternator Starting Motor”, virtual reality assisted students with observing abstract failed components to explore the troubleshooting strategy and then investigate and clear the fault causes, in which students’ practical skills helped them quickly understand the fault causes and reach the target of their learning effectiveness in functional testing and troubleshooting by using the maintenance manual and applying diagnostic tools, which is shown in Figure 6.
3. Methodology
3.1. System Architecture
3.2. System Function and Design
3.3. Research Purpose
- To develop curriculum design that integrates with interdisciplinary/cross-region instructional strategies as well as digitalization-oriented virtual reality technique design in the Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice curriculum in the Dept. of Auto Mechanics of a skills-based senior high school.
- To develop interdisciplinary/cross-region instruction learning assessment for the Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice curriculum in the Dept. of Auto Mechanics of a skills-based senior high school.
- To investigate students’ inquiry practice learning effectiveness after integrating VR simulation game curriculum into the Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice curriculum in the Dept. of Auto Mechanics of a skills-based senior high school.
3.4. Participants
3.5. Research Design
3.6. Instructional Material Development
- In the first period, the virtual reality-assisted building system was considered as the goal in which the curriculum instruction was conducted at the entry level in “Unit 1—Get Familiar With Practice Factory Environment and Maintenance Tools Operating Procedure” with the issues of factory environment safety and hygienic knowledge. In the second period, the testing of practical evidence and students’ learning effectiveness in maintenance and repair were considered as the goal in order to verify and test students’ practical learning effectiveness in basic tools and equipment and their operation processes in vehicle maintenance plants.
- At the basic level, the virtual reality-assisted building system was considered as the goal in which the curriculum instruction was conducted in the first period in “Unit 2—Disassembly and Functional Testing of the Automotive Alternator and Starting Motor”. The curriculum was designed for students to become familiar with virtual reality components disassembly processes and choosing tools and equipment. In the second period, the testing of practical evidence and students’ learning effectiveness in maintenance and repair were considered as the goal in order to verify and test students’ application in familiarity with testing and diagnostic tools and their learning effectiveness in vehicle maintenance and the disassembly of an automotive alternator and starting motor.
- At an advanced level, the virtual reality-assisted building system was considered as the goal in which the curriculum instruction was conducted in “Unit 3—Functional Testing and Troubleshooting of the Automotive Alternator and Starting Motor” in order to help students’ observations of abstract failed components and explore students’ troubleshooting strategies and investigation in fault clearing. In the second period, the testing of practical evidence and students’ learning effectiveness in maintenance and repair were considered as the goal in order to verify and test students’ operation capabilities in fault causes and troubleshooting, to evaluate students’ application process in looking up maintenance manuals and eventually to verify their learning effectiveness in automatic maintenance and fault clearing.
- Contextual issues: guide students to observe the classification in vehicle industry, vehicle types, vehicle driver’s driving and operative behavior and then determine the differences between different vehicle types and operative behaviors.
- Phenomenon occurs: the induction and analysis were conducted from the phenomenon results in the situations. Example: What is the relationship between the vehicle’s starting system and the starting motor? What is the difference between motor’s types and specifications, and are there any alternatives?
- Diagnostic problem definition: help students define the range and distinguish problems fields from the fault phenomenon. For example, how do students solve problems when the starting motors cannot work which causes the vehicles to not be able to start, or in the situation of abnormal noise when the starting system works?
- Interdisciplinary/cross-region thinking: To seek related instructional materials and investigate interdisciplinary/cross-region problems. For example, electric fire switch and brake switch signals are required to start the motor, but if the detection signal is changed to magnetic induction, what would happen to the sensoring condition?
- Problem-solving strategies: to plan circuit prospecting, diagnostic equipment operation, and dynamic and static detection from the content of the “Problem Definition” section.
- Implementation troubleshooting: to implement the process of system troubleshooting and plan fault clearing strategies to conduct the practical operation according to the diagnosed problems.
- Integration and reflection: to organize and classify the problems students encountered in the practical and judging process during the automatic fault cases in order to avoid making the same mistakes.
3.7. Research Tools
3.7.1. Learning Assessment Testing Method
3.7.2. Evaluation Rubric Scale Developed in This Study
4. Results and Discussion
4.1. Results
4.1.1. Prior Knowledge Analysis of Students’ Learning Effectiveness in Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice under Different Instructional Strategies
4.1.2. Variance Analysis in Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice under Different Instructional Strategies
4.1.3. Variance Analysis in Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice under Different Instructional Strategies
4.1.4. Inductive Analysis of Qualitative Data in Instructional Strategies Implementation
4.2. Discussion
4.2.1. The Impact of Integrating VR Simulation Games into ZPD Instructional Strategies Implementation on Students’ Learning Effectiveness
4.2.2. VR Qualitative Data Evaluation of VR Simulation Games Integrated into ZPD Instructional Strategies
5. Conclusions and Suggestions
5.1. Conclusions
5.1.1. Completion of Investigation between Students’ Practical Capabilities and Learning Relationship in the Construction of the ZPD Virtual Reality Integrated into Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice
5.1.2. Students’ Learning Effectiveness by Adopting ZPD Virtual Reality Integrating into Vehicle Charging and Starting System
5.1.3. Students’ Learning Effectiveness in Maintenance Equipment Operation Procedures Corresponding to ZPD Virtual Reality Integrating into Being Familiar with the Practice Factory Environment
5.1.4. Students’ Learning Effectiveness in VR Simulation Game of the Disassembly and Function Inspection of the Car Charging and Starting System
5.1.5. The Implementation of Integrating VR Simulation Games into ZPD Instructional Strategies Has a Positive Impact on Students’ Overall Inquiry and Practical Learning
5.1.6. VR Instructional Activities Need to Be Modified According to the Students’ Learning Situation during the Implementation Process of the Virtual Reality Simulation Game Integrating into ZPD Instructional Strategies
5.2. Suggestions
5.2.1. Suggestions for the Implementation of Virtual Reality Simulation Games Integrating into ZPD Instructional Strategies
5.2.2. Suggestions for Future Research
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Professional Practice Curriculum Content | Specific Connotation |
---|---|
Vehicle skills field:
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| |
| |
|
Instruction Period | Grouping Method | Pretest | Experimental Treatment | Post-Test |
---|---|---|---|---|
Experimental group | Heterogeneous grouping | O1 | X1 | O2 |
Control group | Heterogeneous grouping | O3 | X2 | O4 |
Level | Excellent 100–81 | Very Good 80–61 | Good 60–41 | Fair 40–21 | Poor 20–0 | |
---|---|---|---|---|---|---|
Performance | ||||||
Knowledge (33%) | Industrial safety and hygienic knowledge | Be excellent in industrial safety and hygienic knowledge | Be very good in industrial safety and hygienic knowledge | Be good in industrial safety and hygienic knowledge | Be fair in industrial safety and hygienic knowledge | Be poor in industrial safety and hygienic knowledge |
Fault diagnosis and problem definition | Be excellent in fault diagnosis and problem definition | Be very good in fault diagnosis and problem definition | Be excellent in fault diagnosis and problem definition | Be very good in fault diagnosis and problem definition | Be excellent in fault diagnosis and problem definition | |
Technical terms and application of tools and instruments | Be excellent in technical terms and application of tools and instruments | Be very good in technical terms and application of tools and instruments | Be good in technical terms and application of tools and instruments | Be fair in technical terms and application of tools and instruments | Be poor in technical terms and application of tools and instruments | |
Skills (34%) | Tools assembly and position planning | Be excellent in tools assembly and position planning (meet the situational requirements: more than 4 items) and comply with the standard of the maintenance manual | Be very good in tools assembly and position planning (meet the situational requirements: 3 items) and comply with the standard of the maintenance manual | Be good in tools assembly and position planning (meet the situational requirements: 2 items) and comply with the standard of the maintenance manual | Be fair in tools assembly and position planning (meet the situational requirements: 1 item) or partially comply with the standard of the maintenance manual | Be poor in tools assembly and position planning (fail to meet the situational requirements: 0 items) and fail to comply with the standard of the maintenance manual |
Diagnostic instrumental operation | Be able to complete the diagnostic trouble shooting progress alone before the deadline | Be able to complete the diagnostic trouble shooting progress alone on the deadline | Be able to complete the diagnostic trouble shooting progress alone after the deadline | Be able to complete part of the diagnostic trouble shooting progress alone after the deadline | Fail to complete the diagnostic trouble shooting progress alone after the deadline | |
Operation after VR assist | Be able to complete the breakdown maintenance and explain the solutions before the deadline | Be able to complete the breakdown maintenance and explain the solutions on the deadline | Be able to complete the breakdown maintenance and explain the solutions after the deadline | Be able to complete part of the breakdown maintenance and explain the solutions after the deadline | Fail to complete the breakdown maintenance and explain the solutions after the deadline | |
Attitude (33%) | Tools using and materials application performance during practical process | Circuit measurement, computer diagnosis, VR assist learning and disassembly & assembly inappropriate (0–3 items) | Circuit measurement, computer diagnosis, VR assist learning and disassembly & assembly inappropriate (3–5 items) | Circuit measurement, computer diagnosis, VR assist learning and disassembly & assembly inappropriate (6–8 items) | Circuit measurement, computer diagnosis, VR assist learning and disassembly & assembly inappropriate (9–11 items) | Circuit measurement, computer diagnosis, VR assist learning and disassembly & assembly inappropriate (include and over 12 items) |
Group sharing during practical process and performance of problem-solving capability | Be able to instruct most of the classmates who are far behind (4 persons) | Be able to instruct most of the classmates who are far behind (3–2 persons) | Be able to instruct most of the classmates who are far behind (1 person) | Be not able to instruct most of the classmates who are far behind | Need other classmates’ support to complete the practical process | |
Site preparation performance after practical process | Be excellent in site preparation after practical process wire or element left: 0–3 items | Be very good in site preparation after practical process wire or element left: 4–6 items | Be good in site preparation after practical process wire or element left: 7–9 items | Be fair in site preparation after practical process wire or element left: 10–12 items | Be poor in site preparation after practical process |
Item | Group | Number of Students | Average Value | Standard Deviation | t Value |
---|---|---|---|---|---|
Academic performance in Electrical Engineering and Electronics Practice | Experimental group | 43 | 57.44 | 19.89 | −0.014 |
Control group | 36 | 57.50 | 16.41 |
Item | Group | Number of Students | Average Value | Standard Deviation | t-Value |
---|---|---|---|---|---|
Knowledge | Experimental group | 43 | 17.02 | 9.80 | −0.883 |
Control group | 36 | 19.00 | 10.04 | ||
Skills | Experimental group | 43 | 23.34 | 8.50 | 2.245 |
Control group | 36 | 19.11 | 8.17 | ||
Attitude | Experimental group | 43 | 17.30 | 7.89 | −1.118 |
Control group | 36 | 19.55 | 10.01 |
Item | Group | Number of Students | Average Value | Standard Deviation | t Value |
---|---|---|---|---|---|
The first assessment of learning effectiveness | Experimental group | 43 | 66.13 | 15.21 | −1.257 |
Control group | 36 | 70.88 | 18.36 | ||
The second assessment of learning effectiveness | Experimental group | 43 | 86.23 | 8.74 | 3.603 *** |
Control group | 36 | 75.72 | 15.56 | ||
The third assessment of learning effectiveness | Experimental group | 43 | 90.79 | 6.26 | 3.599 *** |
Control group | 36 | 84.00 | 9.76 |
Item | Group | Number of Students | Average Value | Standard Deviation | t Value |
---|---|---|---|---|---|
The first assessment of learning effectiveness | Experimental group | 43 | 25.76 | 9.97 | −1.427 |
Control group | 36 | 29.00 | 10.09 | ||
The second assessment of learning effectiveness | Experimental group | 43 | 37.02 | 4.19 | 0.860 *** |
Control group | 36 | 35.94 | 6.83 | ||
The third assessment of learning effectiveness | Experimental group | 43 | 38.04 | 2.36 | 1.707 *** |
Control group | 36 | 36.50 | 5.35 |
Item | Group | Number of Students | Average Value | Standard Deviation | t Value |
---|---|---|---|---|---|
The first assessment of learning effectiveness | Experimental group | 43 | 33.48 | 8.49 | 0.514 *** |
Control group | 36 | 34.77 | 12.88 | ||
The second assessment of learning effectiveness | Experimental group | 43 | 39.06 | 6.75 | 2.182 *** |
Control group | 36 | 33.33 | 15.59 | ||
The third assessment of learning effectiveness | Experimental group | 43 | 41.95 | 9.33 | 1.734 ** |
Control group | 36 | 39.00 | 5.61 |
Item | Group | Number of Students | Average Value | Standard Deviation | t Value |
---|---|---|---|---|---|
The first assessment of learning effectiveness | Experimental group | 43 | 6.88 | 3.06 | −0.649 |
Control group | 36 | 7.11 | 3.04 | ||
The second assessment of learning effectiveness | Experimental group | 43 | 10.13 | 2.52 | 6.174 |
Control group | 36 | 6.44 | 2.75 | ||
The third assessment of learning effectiveness | Experimental group | 43 | 10.79 | 2.05 | 3.253 *** |
Control group | 36 | 8.50 | 4.03 |
Resource | Type III Sum of Squares | df | Mean Square | F | p |
---|---|---|---|---|---|
Different instruction strategies * academic performance in Electrical Engineering and Electronics Practice | 336.810 | 1 | 336.810 | 2.420 | 0.124 |
Source of Variation | SS | df | MS | F | p |
---|---|---|---|---|---|
Academic performance in Electrical Engineering and Electronics Practice | 1020.362 | 1 | 1020.362 | 7.1966 *** | 0.009 |
Instructional strategies | 2484.476 | 1 | 2484.476 | 17.522 *** | 0.000 |
Deviation | 10,776.295 | 76 | 141.793 | ||
Total | 410,625.000 | 79 |
Group | Number of Students | Average Value | Standard Deviation | Average Value after Adjustment |
---|---|---|---|---|
Experimental group | 43 | 76.04 | 1.81 | 75.95 |
Control group | 36 | 65.58 | 1.98 | 64.69 |
Resource | Type III Sum of Squares | df | Mean Square | F | p |
---|---|---|---|---|---|
Different instruction strategies * academic performance in Electrical Engineering and Electronics Practice—knowledge component | 86.929 | 1 | 86.929 | 2.199 | 0.142 |
Source of Variation | SS | df | MS | F | p |
---|---|---|---|---|---|
Academic performance in Electrical Engineering and Electronics Practice—knowledge component | 631.776 | 1 | 631.766 | 15.732 *** | 0.000 |
Instructional strategies | 638.150 | 1 | 638.150 | 15.891 *** | 0.000 |
Deviation | 3050.035 | 76 | 40.158 | ||
Total | 36,150.000 | 79 |
Group | Number of Students | Average Value | Standard Deviation | Average Value after Adjustment |
---|---|---|---|---|
Experimental group | 43 | 21.86 | 5.69 | 23.05 |
Control group | 36 | 18.19 | 8.14 | 16.76 |
Resource | Type III Sum of Squares | df | Mean Square | F | p |
---|---|---|---|---|---|
Different instruction strategies * academic performance in Electrical Engineering and Electronics Practice—skill component | 104.335 | 1 | 104.335 | 1.583 | 0.212 |
Source of Variation | SS | df | MS | F | p |
---|---|---|---|---|---|
Academic performance in Electrical Engineering and Electronics Practice—skill component | 437.209 | 1 | 437.209 | 6.584 *** | 0.012 |
Instructional strategies | 590.586 | 1 | 590.586 | 8.893 *** | 0.004 |
Deviation | 5046.932 | 76 | 66.407 | ||
Total | 69,256.250 | 79 |
Group | Number of Students | Average Value | Standard Deviation | Average Value after Adjustment |
---|---|---|---|---|
Experimental group | 43 | 32.38 | 6.54 | 30.98 |
Control group | 36 | 22.77 | 10.26 | 24.44 |
Resource | Type III Sum of Squares | df | Mean Square | F | p |
---|---|---|---|---|---|
Different instruction strategies * academic performance in Electrical Engineering and Electronics Practice—attitude component | 4.041 | 1 | 4.041 | 0.106 | 0.745 |
Source of Variation | SS | df | MS | F | p |
---|---|---|---|---|---|
Academic performance in Electrical Engineering and Electronics Practice—attitude component | 1031.083 | 1 | 1031.083 | 27.407 *** | 0.000 |
Instructional strategies | 302.384 | 1 | 302.384 | 8.038 *** | 0.000 |
Deviation | 2859.179 | 76 | 37.621 | ||
Total | 36,768.750 | 79 |
Group | Number of Students | Average Value | Standard Deviation | Average Value after Adjustment |
---|---|---|---|---|
Experimental group | 43 | 21.68 | 5.84 | 22.15 |
Control group | 36 | 18.75 | 8.37 | 18.18 |
Motif-Item | Sub-Item | Teacher (A) | Teacher (B) | Student (C) | Times |
---|---|---|---|---|---|
Learning atmosphere | A1. Is there a safe learning environment? | 3 | 2 | 3 | 8 |
A2. Is there a warm learning atmosphere? | 3 | 3 | 3 | 9 | |
A3. Do students focus on learning contextual connections or not? | 3 | 3 | 3 | 9 | |
Teacher–student interaction | B1. Does the teacher encourage students to speak? | 3 | 3 | 3 | 9 |
B2. Does the teacher respond to the students’ responses? | 2 | 1 | 3 | 6 | |
B3. Are there rewards for the exceptional performance of students? | 3 | 3 | 3 | 9 | |
Individual learning | C1. Do students assist each other, discuss and dialogue, and integrate interdisciplinary/cross-region issues? | 3 | 2 | 3 | 8 |
C2. Do the students actively respond to the teacher’s questions? | 2 | 3 | 3 | 8 | |
C3. Do students ask questions? | 2 | 3 | 3 | 8 | |
Learning effectiveness | D1. Do students focus on individual or group exercises? | 2 | 3 | 2 | 7 |
D2. Are students learning effectively? | 3 | 3 | 3 | 9 | |
D3. Does the student have learning difficulties? | 2 | 1 | 2 | 5 | |
D4. Has the student’s thinking level been deepened? | 2 | 3 | 3 | 8 | |
D5. Are students interested in learning? | 3 | 3 | 3 | 9 |
Motif-Item | Sub-Item | A Teacher | B Teacher | Experimental Group Students | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Agree | Neutral | Disagree | Agree | Neutral | Disagree | Agree | Neutral | Disagree | ||
Learning atmosphere | A1. Is there a safe learning environment? | 3/9 | 0/9 | 0/9 | 2/9 | 1/9 | 0/9 | 3/9 | 0/9 | 0/9 |
A2. Is there a warm learning atmosphere? | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | |
A3. Do students focus on learning contextual connections or not? | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | |
Teacher–student interaction | B1. Does the teacher encourage students to speak? | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 |
B2. Does the teacher respond to the students’ responses? | 2/9 | 0/9 | 1/9 | 1/9 | 1/9 | 1/9 | 3/9 | 0/9 | 0/9 | |
B3. Are there rewards for the exceptional performance of students? | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | |
Individual learning | C1. Do students assist each other, discuss and dialogue, and integrate interdisciplinary/cross-region issues? | 3/9 | 0/9 | 0/9 | 2/9 | 1/9 | 0/9 | 3/9 | 0/9 | 0/9 |
C2. Do the students actively respond to the teacher’s questions? | 2/9 | 1/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | |
C3. Do students ask questions? | 2/9 | 1/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | |
Learning effective-ness | D1. Do students focus on individual or group exercises? | 2/9 | 1/9 | 0/9 | 3/9 | 0/9 | 0/9 | 2/9 | 1/9 | 0/9 |
D2. Are students learning effectively? | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | |
D3. Does the student have learning difficulties? | 2/9 | 1/9 | 0/9 | 1/9 | 1/9 | 1/9 | 2/9 | 1/9 | 0/9 | |
D4. Has the student’s thinking level been deepened? | 2/9 | 1/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | |
D5. Are students interested in learning? | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 | 3/9 | 0/9 | 0/9 |
Mo-Tif-Item | Sub-Item | Average Coefficient of Agreement | Total Amount of 3 Observers’ Opinions | |||||
---|---|---|---|---|---|---|---|---|
Coefficient of Agreement | Coefficient of Neutralization | Coefficient of Disagreement | ||||||
Learning atmosphere | A1. Is there a safe learning environment? | 0.96 | 8 | 0.89 | 1 | 0.11 | 0 | 0.00 |
A2. Is there a warm learning atmosphere? | 9 | 1.00 | 0 | 0.00 | 0 | 0.00 | ||
A3. Do students focus on learning contextual connections or not? | 9 | 1.00 | 0 | 0.00 | 0 | 0.00 | ||
Teacher–student interaction | B1. Does the teacher encourage students to speak? | 0.89 | 6 | 0.67 | 0 | 0.00 | 0 | 0.00 |
B2. Does the teacher respond to the student’s responses? | 9 | 1.00 | 1 | 0.11 | 2 | 0.22 | ||
B3. Are there rewards for the exceptional performance of students? | 9 | 1.00 | 0 | 0.00 | 0 | 0.00 | ||
Individual learning | C1. Do students assist each other, discuss and dialogue, and integrate interdisciplinary/cross-region issues? | 0.89 | 8 | 0.89 | 0 | 0.00 | 0 | 0.00 |
C2. Do the students actively respond to the teacher’s questions? | 8 | 0.89 | 1 | 0.11 | 0 | 0.00 | ||
C3. Do students ask questions? | 8 | 0.89 | 1 | 0.11 | 0 | 0.00 | ||
Learning effectiveness | D1. Do students focus on individual or group exercises? | 0.91 | 8 | 0.89 | 2 | 0.22 | 0 | 0.00 |
D2. Are students learning effectively? | 7 | 0.78 | 0 | 0.00 | 0 | 0.00 | ||
D3. Does the student have learning difficulties? | 9 | 1.00 | 3 | 0.33 | 1 | 0.11 | ||
D4. Has the student’s thinking level been deepened? | 8 | 0.89 | 1 | 0.11 | 0 | 0.00 | ||
D5. Are students interested in learning? | 9 | 1.00 | 0 | 0.00 | 0 | 0.00 |
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Liao, C.-W.; Liao, H.-K.; Chen, B.-S.; Tseng, Y.-J.; Liao, Y.-H.; Wang, I.-C.; Ho, W.-S.; Ko, Y.-Y. Inquiry Practice Capability and Students’ Learning Effectiveness Evaluation in Strategies of Integrating Virtual Reality into Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice: A Case Study. Electronics 2023, 12, 2576. https://doi.org/10.3390/electronics12122576
Liao C-W, Liao H-K, Chen B-S, Tseng Y-J, Liao Y-H, Wang I-C, Ho W-S, Ko Y-Y. Inquiry Practice Capability and Students’ Learning Effectiveness Evaluation in Strategies of Integrating Virtual Reality into Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice: A Case Study. Electronics. 2023; 12(12):2576. https://doi.org/10.3390/electronics12122576
Chicago/Turabian StyleLiao, Chin-Wen, Hsin-Kuo Liao, Bo-Siang Chen, Ying-Ju Tseng, Yu-Hsiang Liao, I-Chi Wang, Wei-Sho Ho, and Yu-Yuan Ko. 2023. "Inquiry Practice Capability and Students’ Learning Effectiveness Evaluation in Strategies of Integrating Virtual Reality into Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice: A Case Study" Electronics 12, no. 12: 2576. https://doi.org/10.3390/electronics12122576
APA StyleLiao, C. -W., Liao, H. -K., Chen, B. -S., Tseng, Y. -J., Liao, Y. -H., Wang, I. -C., Ho, W. -S., & Ko, Y. -Y. (2023). Inquiry Practice Capability and Students’ Learning Effectiveness Evaluation in Strategies of Integrating Virtual Reality into Vehicle Body Electrical System Comprehensive Maintenance and Repair Services Practice: A Case Study. Electronics, 12(12), 2576. https://doi.org/10.3390/electronics12122576