Use of a Graphic Organiser as a Pedagogical Instrument for the Sustainable Development of EFL Learners’ English Reading Comprehension
Abstract
:1. Introduction
2. Literature Review
2.1. Graphic Organisers
2.2. Application of Graphic Organisers in Teaching Reading
3. The Study
3.1. Research Questions and Context
- What is the effect of Graphic Organisers implemented in English reading on EFL learners’ sustainable development in English reading comprehension? Is it positive?
- How do Graphic Organisers affect various EFL learners’ sustainable development in English reading comprehension?
3.2. Research Instruments
3.2.1. Pre-Test
3.2.2. Observation Form
- AET, such as answering a teacher’s question
- PET, such as reading an assigned passage
- OFT-M, such as tapping a pen
- OFT-V, such as talking to a classmate
- OFT-P, such as staring at the door
3.2.3. Post-Test
3.2.4. Interview Protocol
3.2.5. Treatment of Graphic Organisers
- (1)
- Text analysis:
- (2)
- Graphic Organiser design:
- (3)
- Teaching objectives:By the end of this lesson, students will be able to:
- (A)
- Know and use some useful words and phrases for the topic (dare, private, background, interview, Asia, Asian, guard) and acquire the ability to use ‘used to’ to express a state or action in the past;
- (B)
- Exercise the skill of retelling the whole reading text in general, based on Graphic Organisers finished by the teacher and the class in the passage after reading;
- (C)
- Experience the challenges of success by sharing the famous singer’s story and developing motivation to work hard for their success in the future.
- (4)
- Teaching focus:
- (A)
- Master the new words and phrases in this part to achieve the goal of proficiency and learn to use ‘used to’ to express a state or action in the past;
- (B)
- Exercise the skill of retelling the whole reading text in general, based on Graphic Organisers finished by the teacher and the class in the passage after reading.
- (5)
- Possible learning difficulties:
- (1)
- Warming up:
- Who’s the pretty girl? She’s the famous singer Candy Wang.
- Could you describe what kind of person she was as a child?
- Have you ever heard about her story? Do you want to know more about her?
- (2)
- Fast reading:
- ____ how Candy’s life has changed
- ____ Candy’s advice to young people
- ____ Candy’s background
- (3)
- Careful reading:
- (A)
- Students will read the first paragraph and answer the following questions:
- How old is Candy?
- What kind of person did she used to be?
- Why did she want to be a singer?
- Did she change a lot? What is she like now?
Next, they need to check their answers with their partners.- (B)
- Later, students will read the whole passage paragraph by paragraph and complete Graphic Organisers together under the guidance of the teacher.
- (4)
- Post-reading:
- (1)
- Homework: refine the Graphic Organisers for this text.
- (2)
- Reflection: list the pros and cons of the whole process of teaching.
3.3. Research Procedure
4. Results
4.1. Results of the Pre- and Post-Tests
4.2. The Results of Observation
5. Discussion
5.1. The Overall Effect of Graphic Organisers
5.2. The Impact of Graphic Organisers on Learners with Diverse Reading Abilities
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Groups | Control Class | Experimental Class |
---|---|---|
Class | Class 5 | Class 6 |
Grade | Junior 3 | Junior 3 |
Average | 12.75 | 12.3 |
Number of subjects | 50 | 50 |
Male | 27 | 28 |
Female | 23 | 22 |
Teaching method | Without Graphic Organisers | With Graphic Organisers |
Group | N | Mean | Std. Deviation | Std. Error Mean | |
---|---|---|---|---|---|
Grade | CC | 50 | 78.1600 | 21.30666 | 3.01322 |
EC | 50 | 79.2000 | 21.12451 | 2.98746 |
Levene’s Test for Equality of Variances | t-Test for Equality of Means | ||||||||
---|---|---|---|---|---|---|---|---|---|
F | Sig. | T | df | Sig. (2-Tailed) | MD | Std. Error Difference | 95% Confidence Interval of the Difference | ||
Lower | Upper | ||||||||
Equal variances assumed | 0.042 | 0.837 | −0.245 | 98 | 0.807 | −1.04000 | 4.24316 | −9.46041 | 7.38041 |
Equal variances not assumed | −0.245 | 97.993 | 0.807 | −1.04000 | 4.24316 | −9.46041 | 7.38041 |
Class | Class 5 | Class 6 | |
---|---|---|---|
Group | |||
Reading-high | 1217, 1221, 1224, 1202, 1203, 1204, 1235, 1236, 1234, 1207, 1211, 1219, 1243, 1228, 1232, 1242, 1222, 1226, 1201, 1225, 1238, 1248 | 1254, 1264, 1291, 1296, 1258, 1267, 1281, 1283, 1286, 1294, 1298, 1269, 1273, 1288, 1295, 1259, 1270, 1250, 1272, 1274, 1278, 1262, 1282, 1290 | |
Reading-mid | 1247, 1229, 1233, 1241, 1227, 1240, 1209, 1223, 1231, 1239, 1246, 1214, 1208, 1237, 1244, 1220 | 1261, 1284, 1287, 1260, 1268, 1280, 1289, 1299, 1266, 1252, 1253, 1292, 1256 | |
Reading-low | 1249, 1230, 1200, 1213, 1210, 1215, 1216, 1206, 1205, 1212, 1218, 1245 | 1276, 1297, 1263, 1279, 1293, 1251, 1265, 1277, 1271, 1255, 1285, 1275, 1257 |
n | Minimum | Maximum | Mean | Std. Deviation | |
---|---|---|---|---|---|
Pre-test CC | 50 | 20.00 | 98.00 | 78.1600 | 21.30666 |
Post-test CC | 50 | 19.00 | 97.00 | 75.7600 | 21.01366 |
n | Minimum | Maximum | Mean | Std. Deviation | |
---|---|---|---|---|---|
Pre-test EC | 50 | 20.00 | 96.00 | 79.2000 | 21.12451 |
Post-test EC | 50 | 42.00 | 100.00 | 83.8800 | 17.74725 |
Mean | N | Std. Deviation | Std. Error Mean | ||
---|---|---|---|---|---|
Pair 1 | Pre-test CC | 78.1600 | 50 | 21.30666 | 3.01322 |
Post-test CC | 75.7600 | 50 | 21.01366 | 2.97178 | |
Pair 2 | Pre-test EC | 79.2000 | 50 | 21.12451 | 2.98746 |
Post-test EC | 83.8800 | 50 | 17.74725 | 2.50984 |
Mean | N | Std. Deviation | ||
---|---|---|---|---|
Pair 1 | Pre-test CC and Post-test CC | 50 | 0.968 | 0.000 |
Pair 2 | Pre-test EC and Post-test EC | 50 | 0.970 | 0.000 |
Mean | Std. Deviation | Std. Error Mean | 95% Confidence Interval of the Difference | t | df | Sig. (2-Tailed) | |||
---|---|---|---|---|---|---|---|---|---|
Lower | Upper | ||||||||
Pair 1 | Pre-test CC Post-test CC | 2.40 | 5.38706 | 0.76185 | 0.86901 | 3.93099 | 3.150 | 49 | 0.003 |
Pair 2 | Pre-test EC Post-test EC | −4.68 | 5.79740 | 0.81988 | −6.32760 | −3.03240 | −5.708 | 49 | 0.000 |
Group | N | Mean | Std. Deviation | Std. Error Mean | |
---|---|---|---|---|---|
Grade | CC | 50 | 75.7600 | 21.01366 | 2.97178 |
EC | 50 | 83.8800 | 17.74725 | 2.50984 |
Levene’s Test for Equality of Variances | t-Test for Equality of Means | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
F | Sig. | t | df | Sig. (2-Tailed) | MD | Std. Error Difference | 95% Confidence Interval of the Difference | |||
Lower | Upper | |||||||||
Grade | Equal variances assumed | 0.482 | 0.489 | −2.060 | 98 | 0.042 | −7.8900 | 3.83045 | −15.49141 | −0.28859 |
Equal variances not assumed | −2.060 | 96.093 | 0.042 | −7.8900 | 3.83045 | −15.49330 | −0.28670 |
Mean | N | Std. Deviation | Std. Error Mean | ||
---|---|---|---|---|---|
Pair 1 | Reading-high (Pre) | 93.5417 | 24 | 2.12601 | 0.43397 |
Reading-high (Post) | 94.5000 | 24 | 2.57074 | 0.52475 | |
Pair 2 | Reading-mid (Pre) | 83.6923 | 13 | 5.31326 | 1.47363 |
Reading-mid (Post) | 92.0769 | 13 | 3.86138 | 1.07095 | |
Pair 3 | Reading-low (Pre) | 48.2308 | 13 | 17.69253 | 4.90703 |
Reading-low (Post) | 56.0769 | 13 | 11.07897 | 3.07275 |
N | Correlation | Sig. | ||
---|---|---|---|---|
Pair 1 | Reading-high (Pre and Post) | 24 | 0.807 | 0.000 |
Pair 2 | Reading-mid (Pre and Post) | 13 | 0.716 | 0.006 |
Pair 3 | Reading-low (Pre and Post) | 13 | 0.944 | 0.000 |
Mean | Std. Deviation | Std. Error Mean | 95% Confidence Interval of the Difference | t | df | Sig. (2-Tailed) | |||
---|---|---|---|---|---|---|---|---|---|
Lower | Upper | ||||||||
Pair 1 | Reading-high (Pre) Reading-high (Post) | −0.95833 | 1.51741 | 0.30974 | −1.59908 | −0.31759 | −3.094 | 23 | 0.005 |
Pair 2 | Reading-mid (Pre) Reading-mid (Post) | −8.38462 | 3.70896 | 1.02868 | −10.62592 | −6.14331 | −8.151 | 12 | 0.000 |
Pair 3 | Reading-low (Pre) Reading-low (Post) | −7.84615 | 8.10191 | 2.24707 | −12.74209 | −2.95022 | −3.492 | 12 | 0.004 |
N | Mean | Std. Deviation | Std. Error Mean | 95% Confidence Interval of the Difference | Minimum | Maximum | ||
---|---|---|---|---|---|---|---|---|
Lower | Upper | |||||||
Reading-high | 24 | 93.5417 | 2.12601 | 0.43397 | 92.6439 | 94.4394 | 90.00 | 96.00 |
Reading-mid | 13 | 83.6923 | 5.31326 | 1.47363 | 80.4815 | 86.9031 | 73.00 | 89.00 |
Reading-low | 13 | 48.2308 | 17.69253 | 4.90703 | 37.5393 | 58.9223 | 20.00 | 69.00 |
Total | 50 | 79.2000 | 21.12451 | 2.98746 | 73.1965 | 85.2035 | 20.00 | 96.00 |
Sum of Squares | df | Mean Square | F | Sig. | |
---|---|---|---|---|---|
Between groups | 17,666.965 | 2 | 8833.482 | 98.874 | 0.000 |
Within groups | 4199.035 | 47 | 89.341 | ||
Total | 21,866.000 | 49 |
Groups | Groups | Mean Difference | Std. Error | Sig. | 95% Confidence Interval of the Difference | |
---|---|---|---|---|---|---|
Lower | Upper | |||||
Reading-high | Reading-mid | 9.84936 * | 3.25499 | 0.004 | 3.3012 | 16.3976 |
Reading-low | 45.31090 * | 3.25499 | 0.000 | 38.7627 | 51.8591 | |
Reading-mid | Reading-high | −9.84936 * | 3.25499 | 0.004 | −16.3976 | −3.3012 |
Reading-low | 35.46154 * | 3.70740 | 0.000 | 28.0032 | 42.9199 | |
Reading-low | Reading-high | −45.31090 * | 3.25499 | 0.000 | −51.8591 | −38.7627 |
Reading-mid | −35.46154 * | 3.70740 | 0.000 | −42.9199 | −28.0032 |
N | Mean | Std. Deviation | Std. Error Mean | 95% Confidence Interval of the Difference | Minimum | Maximum | ||
---|---|---|---|---|---|---|---|---|
Lower | Upper | |||||||
Reading-high | 24 | 94.5000 | 2.57074 | 0.52475 | 93.4145 | 95.5855 | 90.00 | 99.00 |
Reading-mid | 13 | 92.0769 | 3.86138 | 1.07095 | 89.7435 | 94.4103 | 85.00 | 100.00 |
Reading-low | 13 | 56.0769 | 11.07897 | 3.07275 | 49.3820 | 62.7719 | 42.00 | 70.00 |
Total | 50 | 83.8800 | 17.74725 | 2.50984 | 78.8363 | 88.9237 | 42.00 | 100.00 |
Sum of Squares | df | Mean Square | F | Sig. | |
---|---|---|---|---|---|
Between groups | 13,629.434 | 2 | 6814.717 | 177.560 | 0.000 |
Within groups | 1803.846 | 47 | 38.380 | ||
Total | 15,433.280 | 49 |
Groups | Groups | Mean Difference | Std. Error | Sig. | 95% Confidence Interval of the Difference | |
---|---|---|---|---|---|---|
Lower | Upper | |||||
Reading-high | Reading-mid | 2.42308 | 2.13341 | 0.262 | −1.8688 | 6.7149 |
Reading-low | 38.42308 * | 2.13341 | 0.000 | 34.1312 | 42.7149 | |
Reading-mid | Reading-high | −2.42308 | 2.13341 | 0.262 | −6.7149 | 1.8688 |
Reading-low | 36.00000 * | 2.42993 | 0.000 | 31.1116 | 40.8884 | |
Reading-low | Reading-high | −38.42308 * | 2.13341 | 0.000 | −42.7149 | −34.1312 |
Reading-mid | −36.00000 * | 2.42993 | 0.000 | −40.8884 | −31.1116 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 0 | 0 | 3 | 37 |
PET | 3 | 9 | 1 | 12 |
OFT-M | 13 | 40 | 1 | 12 |
OFT-V | 10 | 31 | 1 | 12 |
OFT-P | 9 | 28 | 2 | 25 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 1 | 3 | 3 | 37 |
PET | 14 | 43 | 3 | 37 |
OFT-M | 8 | 25 | 1 | 12 |
OFT-V | 7 | 21 | 0 | 0 |
OFT-P | 3 | 9 | 3 | 37 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 4 | 12 | 2 | 25 |
PET | 15 | 46 | 3 | 37 |
OFT-M | 2 | 6 | 0 | 0 |
OFT-V | 8 | 25 | 3 | 37 |
OFT-P | 2 | 6 | 0 | 0 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 5 | 15 | 2 | 25 |
PET | 15 | 46 | 2 | 25 |
OFT-M | 0 | 0 | 0 | 0 |
OFT-V | 8 | 25 | 2 | 25 |
OFT-P | 6 | 18 | 1 | 12 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 5 | 15 | 2 | 25 |
PET | 17 | 53 | 3 | 37 |
OFT-M | 1 | 3 | 0 | 0 |
OFT-V | 6 | 18 | 1 | 12 |
OFT-P | 6 | 18 | 2 | 25 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 11 | 34 | 2 | 25 |
PET | 18 | 56 | 5 | 62 |
OFT-M | 0 | 0 | 0 | 0 |
OFT-V | 1 | 3 | 1 | 12 |
OFT-P | 2 | 6 | 0 | 0 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 15 | 46 | 1 | 12 |
PET | 16 | 50 | 4 | 50 |
OFT-M | 0 | 0 | 0 | 0 |
OFT-V | 0 | 0 | 1 | 12 |
OFT-P | 2 | 6 | 2 | 25 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 24 | 75 | 4 | 50 |
PET | 8 | 25 | 4 | 50 |
OFT-M | 0 | 0 | 0 | 0 |
OFT-V | 0 | 0 | 0 | 0 |
OFT-P | 0 | 0 | 0 | 0 |
Target Students | Random Peer | |||
---|---|---|---|---|
Count | Percentage | Count | Percentage | |
AET | 25 | 78 | 5 | 62 |
PET | 7 | 21 | 3 | 37 |
OFT-M | 0 | 0 | 0 | 0 |
OFT-V | 0 | 0 | 0 | 0 |
OFT-P | 0 | 0 | 0 | 0 |
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Qi, W.; Jiang, Y. Use of a Graphic Organiser as a Pedagogical Instrument for the Sustainable Development of EFL Learners’ English Reading Comprehension. Sustainability 2021, 13, 13748. https://doi.org/10.3390/su132413748
Qi W, Jiang Y. Use of a Graphic Organiser as a Pedagogical Instrument for the Sustainable Development of EFL Learners’ English Reading Comprehension. Sustainability. 2021; 13(24):13748. https://doi.org/10.3390/su132413748
Chicago/Turabian StyleQi, Wenjuan, and Yuhong Jiang. 2021. "Use of a Graphic Organiser as a Pedagogical Instrument for the Sustainable Development of EFL Learners’ English Reading Comprehension" Sustainability 13, no. 24: 13748. https://doi.org/10.3390/su132413748
APA StyleQi, W., & Jiang, Y. (2021). Use of a Graphic Organiser as a Pedagogical Instrument for the Sustainable Development of EFL Learners’ English Reading Comprehension. Sustainability, 13(24), 13748. https://doi.org/10.3390/su132413748