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Effect of Model Video Viewing
Order on Speaking
Performance in Japanese EFL
Classrooms
Yasuko Okada
(Seisen University, Japan)
Takafumi Sawaumi
(Ryutsu Keizai University, Japan)
Takehiko Ito
(Wako University, Japan)
GLoCALL & PCBET 2017 Joint Conference, 7-9 September 2017 at Universiti Teknologi
Brunei, Brunei Darussalam, Presented at Room 1, 11:00-11:30.
Our interests are…
• To develop students’ public speaking skills
in English
• To make effective use of video-recordings
of student speaking performance as
models, but…
• Not easy to collect student video data due
to various reasons, but it may be possible
to collect such data by conducting a
replication study.
2
Research Questions
1. How does model video observation affect
EFL learners’ speaking performance in
the classroom?
2. Are learners able to benefit more from
viewing speech model videos in less-
proficient to more-proficient model
sequence order or vice versa?
3
Outline
1.Previous studies
2.Method
3.Results
4.Discussion
5.Conclusion
4
Observational learning
• Most human behavior is learned through
observation and modelling (Bandura, 1977).
• Observational learning processes: attention,
retention, reproduction, and motivation.
• In education settings, observational learning
can assist students in recognizing behavioral
patterns and developing cognitive skills.
5
Instructional sequence effect
• Instructional sequence order has
affected foreign language learners’
comprehension/performance,
– Reading comprehension (Shimizu, 2007;
Chen, 2012)
– Listening performance (Winke, Gass &
Syndrenko, 2010)
– Speaking performance (Okada, Sawaumi &
Ito, in press)
6
Okada, Sawaumi & Ito (2014)
• Conducted video-based observational
learning research in the Japanese EFL
context.
• Used more-proficient speaker models in
the two groups (high-and low-level
groups).
• Concluded that the model videos
successfully helped motivate high-level
learners but didn’t help low-level learners.
7
Okada, Sawaumi & Ito (in press)
• Based on our 2014 study, we conducted a further
study.
• Showed more- and less-proficient speaker
models to two groups (equivalent language
proficiency) in different order.
• Both models helped motivate learners and
enhance language skills for different purposes.
• In particular, it was more effective to present less-
proficient model first and more-proficient model
next.
8
Limitation on Okada et al. (in press)
• Insufficient number of participants: N = 27
• Maybe difficult to generalize the findings of
the study
• Thus it will be necessary to replicate
findings of the study, using the same
procedure with different participants.
In this presentation, I will show you how our
replication study was conducted.
9
Outline
1.Previous studies
2.Method
3.Results
4.Discussion
5.Conclusions
10
Participants
• Twenty-four Japanese university students
• Enrolled in English communication in Fall 2015
• Class A (n = 10) and Class B (n = 14)
• Average TOEIC Bridge scores were 130 for
class A and 116 for class B
11
Model videos
• Selected from former Japanese EFL
students’ video recorded performances.
• Eight more-proficient models were from
higher-level English classes.
• Eight less-proficient models were from
lower-level English classes.
12
Data collection procedures
13
Round I
Round III
Round II
ORAL PRESENTATION
SELF- & PEER EVALUATION
ORAL PRESENTATION
ORAL PRESENTATION
SELF- & PEER EVALUATION
SELF- & PEER EVALUATION
CLASS A:
MORE-PROFICIENT MODEL
OBSERVATION
CLASS B:
LESS-PROFICIENTMODEL
OBSERVATION
CLASS B:
MORE-PROFICIENT
MODEL OBSERVATION
CLASS A:
LESS-PROFICIENTMODEL
OBSERVATION
VIDEO-BASED OBSERVATION
REFLECTION
Round 1
ORAL PRESENTATION
SELF- & PEER EVALUATION
CLASS A:
MORE-PROFICIENTMODEL
OBSERVATION
CLASS B:
LESS-PROFICIENTMODEL
OBSERVATION
14
Self & peer
evaluation forms
Round 2
ORAL PRESENTATION
SELF- & PEER EVALUATION
CLASS B:
MORE-PROFICIENT
MODEL OBSERVATION
CLASS A:
LESS-PROFICIENTMODEL
OBSERVATION
15
Self & peer
evaluation forms
1st Reflection
Round 3
ORAL PRESENTATION
SELF- & PEER EVALUATION
VIDEO-BASED OBSERVATION
REFLECTION
16
Self & peer evaluation
forms
2nd Reflection
Final Reflection
Evaluation form
• 11 variables on 4-point scale from 1 (weak) to 4 (great)
• 3 subscales: voice control (1-4), body language (5-8) &
effectiveness (9-11)
17
Outline
1.Previous studies
2.Method
3.Results
4.Discussion
5.Conclusions
18
Data analysis
• Repeated measures ANOVA using SPSS 22
• Class (A vs. B [between-participants factor],
performance round (first vs. second vs. third
[repeated factor], and their interaction with
self/peer evaluation scores
• Reflection papers: text mining using Text
Mining Studio, in addition to qualitative
analysis
19
Summary of statistical analyses
voice
control
body
language
effective
voice
control
body
language
effective
Round * ** ** ** **
Class *
Round x Class ** ** *
*p < .05 **p < .01
Peer evaluationSelf-evaluation
Significant interaction effect
20
Peer evaluated voice control
For Class B, more-proficient models might have helped
improve peer evaluated voice control.
21
Peer evaluated body language
For Class B, both less-proficient and more-proficient models
might have helped improve peer evaluated body language.
22
Peer evaluated effectiveness
For Class B, more-proficient models might have helped
improve peer evaluated effectiveness.
23
1st reflection
• “I learned to imitate the more-proficient
speakers because they looked calm. I
consequently tried not to move my hands
or body during my own performance.”
(Class A)
• “While watching the less-proficient
speaker models, I realized that it was
important to be understood by one’s
listeners, and so I tried to speak clearly at
an appropriate volume...” (Class B)
24
2nd reflection
• “… I rehearsed several times so that I would
not stumble over the words. I was careful not to
move my body or hands, since such behavior
seemed to cause the less-proficient speakers
to lose their concentration.” (Class A)
• “I thought that I would deliver my performance
as before, since the more-proficient speakers
seemed too good to imitate. Nevertheless, I
wanted to improve my performance.” (Class B)
25
Final reflection
• “I clearly understood the weaknesses in each
model. I therefore learned how to improve my
performance by comparing the more- and
less-proficient speakers.” (Class A)
• “Aside from helping me to evaluate my own
performances, I was able to see how well
other students delivered their performances. I
also became aware of my weaknesses, and
[therefore] tried to imitate the more-proficient
speakers. Watching my own and other
students’ videos enabled me to explore ways
to possibly improve my performance.” (Class
B)
26
Outline
1.Previous studies
2.Method
3.Results
4.Discussion
5.Conclusions
27
Discussion (RQ1)
• Video-based observational learning
positively affected learners’ speaking
performances.
• More-proficient models observation helped
participants enhance their English
pronunciation and public speaking skills.
• Viewing models helped to develop greater
awareness of other students as well as
greater self-awareness.
28
Discussion (RQ2)
• Quantitative findings were consistent with
those of the original study (Okada et al., in
press).
• Viewing less-proficient first and more-
proficient next may be effective at improving
peer evaluation on student performance.
• But as the replication was conducted as part
of regular lessons, other factors, e.g.,
watching self and peer video recordings, may
have affected peer evaluation scores.
29
Discussion (cont’d)
• For Class A, the first peer evaluation
scores were already high.
• The ceiling effect may have occurred,
• It was speculated that:
• Class A’s performance was good compared to that of
Class B.
• They were more lenient than those in Class B.
• Class A’s peer evaluation scores may not have
improved in the 2nd round, regardless of viewing
order.
30
Outline
1.Previous studies
2.Method
3.Results
4.Discussion
5.Conclusion
31
Conclusion
• The quantitative results of this study was
consistent with the original study (Okada et al., in
press).
• Qualitative findings suggest that watching video
recordings of model speakers was effective for
different purposes and different reasons.
• It will be necessary to enhance internal validity by
using teacher evaluation in future study, though.
• Viewing non-native speaker models may be
feasible to improve EFL learners’ public speaking
skills not only in Japan but also in other countries
in Asia.
32
Acknowledgements
This work was supported by:
• JSPS Kakenhi Number 15K02730; and
• The Research Institute for Language
Education at Seisen University, Tokyo.
33

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R227 佐口清美・いとう たけひこ (2018) 訪問看護における高齢者の強みの活かした実践に関する研究  マクロ・カウンセリング研究, 11, 2-11.R227 佐口清美・いとう たけひこ (2018) 訪問看護における高齢者の強みの活かした実践に関する研究  マクロ・カウンセリング研究, 11, 2-11.
R227 佐口清美・いとう たけひこ (2018) 訪問看護における高齢者の強みの活かした実践に関する研究  マクロ・カウンセリング研究, 11, 2-11.Takehiko Ito
 
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G310 堀 恭子・いとうたけひこ・安藤孝敏 (2019, 3月). 学校飼育動物作文のテキストマイニング:原文参照による性差の検討 日本発達心理学会第3...G310 堀 恭子・いとうたけひこ・安藤孝敏 (2019, 3月). 学校飼育動物作文のテキストマイニング:原文参照による性差の検討 日本発達心理学会第3...
G310 堀 恭子・いとうたけひこ・安藤孝敏 (2019, 3月). 学校飼育動物作文のテキストマイニング:原文参照による性差の検討 日本発達心理学会第3...Takehiko Ito
 
G308 Ito, T., & Uda, H. (2019, March). The spirituality of family members of ...
G308 Ito, T., & Uda, H. (2019, March). The spirituality of family members of ...G308 Ito, T., & Uda, H. (2019, March). The spirituality of family members of ...
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R229 いとうたけひこ、・宇多仁美 (2019, 3月). 東日本大震災の遺族のスピリチュアリティ: 『私の夢まで、会いに来てくれた』における夢の語りの...
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R229 いとうたけひこ、・宇多仁美 (2019, 3月). 東日本大震災の遺族のスピリチュアリティ: 『私の夢まで、会いに来てくれた』における夢の語りの...Takehiko Ito
 
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R228 Takehiko ITO, Hitomi UDA (2019). The spirituality of family members of t...R228 Takehiko ITO, Hitomi UDA (2019). The spirituality of family members of t...
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G305 井上孝代・いとうたけひこ (2018, 11月) トラウマケアとPTSD予防のためのグループ表現セラピーとコミュニティ構築:スリランカ研修会の...
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G306 松岡康彦・いとうたけひこ (2018, 11月)  海外駐在員のメンタルヘルスマネジメント:ベトナムの職場文化・風土における実態と改善 第25回...Takehiko Ito
 
G309 いとうたけひこ、・宇多仁美 (2019,3月). 東日本大震災の遺族のスピリチュアリティ: 『私の夢まで、会いに来てくれた』における夢の語りのテ...
G309 いとうたけひこ、・宇多仁美 (2019,3月). 東日本大震災の遺族のスピリチュアリティ: 『私の夢まで、会いに来てくれた』における夢の語りのテ...G309 いとうたけひこ、・宇多仁美 (2019,3月). 東日本大震災の遺族のスピリチュアリティ: 『私の夢まで、会いに来てくれた』における夢の語りのテ...
G309 いとうたけひこ、・宇多仁美 (2019,3月). 東日本大震災の遺族のスピリチュアリティ: 『私の夢まで、会いに来てくれた』における夢の語りのテ...Takehiko Ito
 
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G298 いとうたけひこ (2018, 9月). ビジュアル・ナラティヴ教材を用いた心理学教育:「ディペックス・ジャパン:健康と病いの語りデータベース」を...
G298 いとうたけひこ (2018, 9月). ビジュアル・ナラティヴ教材を用いた心理学教育:「ディペックス・ジャパン:健康と病いの語りデータベース」を...G298 いとうたけひこ (2018, 9月). ビジュアル・ナラティヴ教材を用いた心理学教育:「ディペックス・ジャパン:健康と病いの語りデータベース」を...
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G297小平朋江。いとうたけひこ(2018, 9月). 浦河べてるの家におけるビジュアル・ナラティヴ: 当事者研究とべてるまつりにおける多様に外在化された...
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G296加藤恵美・井上孝代・いとうたけひこ(2018, 9月)離婚後の子どもの“荒れ”への保育:<あいまいな喪失>の一事例 日本カウンセリング学会第51回...
G296加藤恵美・井上孝代・いとうたけひこ(2018, 9月)離婚後の子どもの“荒れ”への保育:<あいまいな喪失>の一事例 日本カウンセリング学会第51回...G296加藤恵美・井上孝代・いとうたけひこ(2018, 9月)離婚後の子どもの“荒れ”への保育:<あいまいな喪失>の一事例 日本カウンセリング学会第51回...
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G273 Okada, Y., Sawaumi, T., & Ito, T. (2017, September). Effect of model video viewing order on speaking performances in Japanese EFL classrooms. GLoCALL and PCBET Joint International Conference 2017, Universiti Teknologi Brunei

  • 1. Effect of Model Video Viewing Order on Speaking Performance in Japanese EFL Classrooms Yasuko Okada (Seisen University, Japan) Takafumi Sawaumi (Ryutsu Keizai University, Japan) Takehiko Ito (Wako University, Japan) GLoCALL & PCBET 2017 Joint Conference, 7-9 September 2017 at Universiti Teknologi Brunei, Brunei Darussalam, Presented at Room 1, 11:00-11:30.
  • 2. Our interests are… • To develop students’ public speaking skills in English • To make effective use of video-recordings of student speaking performance as models, but… • Not easy to collect student video data due to various reasons, but it may be possible to collect such data by conducting a replication study. 2
  • 3. Research Questions 1. How does model video observation affect EFL learners’ speaking performance in the classroom? 2. Are learners able to benefit more from viewing speech model videos in less- proficient to more-proficient model sequence order or vice versa? 3
  • 5. Observational learning • Most human behavior is learned through observation and modelling (Bandura, 1977). • Observational learning processes: attention, retention, reproduction, and motivation. • In education settings, observational learning can assist students in recognizing behavioral patterns and developing cognitive skills. 5
  • 6. Instructional sequence effect • Instructional sequence order has affected foreign language learners’ comprehension/performance, – Reading comprehension (Shimizu, 2007; Chen, 2012) – Listening performance (Winke, Gass & Syndrenko, 2010) – Speaking performance (Okada, Sawaumi & Ito, in press) 6
  • 7. Okada, Sawaumi & Ito (2014) • Conducted video-based observational learning research in the Japanese EFL context. • Used more-proficient speaker models in the two groups (high-and low-level groups). • Concluded that the model videos successfully helped motivate high-level learners but didn’t help low-level learners. 7
  • 8. Okada, Sawaumi & Ito (in press) • Based on our 2014 study, we conducted a further study. • Showed more- and less-proficient speaker models to two groups (equivalent language proficiency) in different order. • Both models helped motivate learners and enhance language skills for different purposes. • In particular, it was more effective to present less- proficient model first and more-proficient model next. 8
  • 9. Limitation on Okada et al. (in press) • Insufficient number of participants: N = 27 • Maybe difficult to generalize the findings of the study • Thus it will be necessary to replicate findings of the study, using the same procedure with different participants. In this presentation, I will show you how our replication study was conducted. 9
  • 11. Participants • Twenty-four Japanese university students • Enrolled in English communication in Fall 2015 • Class A (n = 10) and Class B (n = 14) • Average TOEIC Bridge scores were 130 for class A and 116 for class B 11
  • 12. Model videos • Selected from former Japanese EFL students’ video recorded performances. • Eight more-proficient models were from higher-level English classes. • Eight less-proficient models were from lower-level English classes. 12
  • 13. Data collection procedures 13 Round I Round III Round II ORAL PRESENTATION SELF- & PEER EVALUATION ORAL PRESENTATION ORAL PRESENTATION SELF- & PEER EVALUATION SELF- & PEER EVALUATION CLASS A: MORE-PROFICIENT MODEL OBSERVATION CLASS B: LESS-PROFICIENTMODEL OBSERVATION CLASS B: MORE-PROFICIENT MODEL OBSERVATION CLASS A: LESS-PROFICIENTMODEL OBSERVATION VIDEO-BASED OBSERVATION REFLECTION
  • 14. Round 1 ORAL PRESENTATION SELF- & PEER EVALUATION CLASS A: MORE-PROFICIENTMODEL OBSERVATION CLASS B: LESS-PROFICIENTMODEL OBSERVATION 14 Self & peer evaluation forms
  • 15. Round 2 ORAL PRESENTATION SELF- & PEER EVALUATION CLASS B: MORE-PROFICIENT MODEL OBSERVATION CLASS A: LESS-PROFICIENTMODEL OBSERVATION 15 Self & peer evaluation forms 1st Reflection
  • 16. Round 3 ORAL PRESENTATION SELF- & PEER EVALUATION VIDEO-BASED OBSERVATION REFLECTION 16 Self & peer evaluation forms 2nd Reflection Final Reflection
  • 17. Evaluation form • 11 variables on 4-point scale from 1 (weak) to 4 (great) • 3 subscales: voice control (1-4), body language (5-8) & effectiveness (9-11) 17
  • 19. Data analysis • Repeated measures ANOVA using SPSS 22 • Class (A vs. B [between-participants factor], performance round (first vs. second vs. third [repeated factor], and their interaction with self/peer evaluation scores • Reflection papers: text mining using Text Mining Studio, in addition to qualitative analysis 19
  • 20. Summary of statistical analyses voice control body language effective voice control body language effective Round * ** ** ** ** Class * Round x Class ** ** * *p < .05 **p < .01 Peer evaluationSelf-evaluation Significant interaction effect 20
  • 21. Peer evaluated voice control For Class B, more-proficient models might have helped improve peer evaluated voice control. 21
  • 22. Peer evaluated body language For Class B, both less-proficient and more-proficient models might have helped improve peer evaluated body language. 22
  • 23. Peer evaluated effectiveness For Class B, more-proficient models might have helped improve peer evaluated effectiveness. 23
  • 24. 1st reflection • “I learned to imitate the more-proficient speakers because they looked calm. I consequently tried not to move my hands or body during my own performance.” (Class A) • “While watching the less-proficient speaker models, I realized that it was important to be understood by one’s listeners, and so I tried to speak clearly at an appropriate volume...” (Class B) 24
  • 25. 2nd reflection • “… I rehearsed several times so that I would not stumble over the words. I was careful not to move my body or hands, since such behavior seemed to cause the less-proficient speakers to lose their concentration.” (Class A) • “I thought that I would deliver my performance as before, since the more-proficient speakers seemed too good to imitate. Nevertheless, I wanted to improve my performance.” (Class B) 25
  • 26. Final reflection • “I clearly understood the weaknesses in each model. I therefore learned how to improve my performance by comparing the more- and less-proficient speakers.” (Class A) • “Aside from helping me to evaluate my own performances, I was able to see how well other students delivered their performances. I also became aware of my weaknesses, and [therefore] tried to imitate the more-proficient speakers. Watching my own and other students’ videos enabled me to explore ways to possibly improve my performance.” (Class B) 26
  • 28. Discussion (RQ1) • Video-based observational learning positively affected learners’ speaking performances. • More-proficient models observation helped participants enhance their English pronunciation and public speaking skills. • Viewing models helped to develop greater awareness of other students as well as greater self-awareness. 28
  • 29. Discussion (RQ2) • Quantitative findings were consistent with those of the original study (Okada et al., in press). • Viewing less-proficient first and more- proficient next may be effective at improving peer evaluation on student performance. • But as the replication was conducted as part of regular lessons, other factors, e.g., watching self and peer video recordings, may have affected peer evaluation scores. 29
  • 30. Discussion (cont’d) • For Class A, the first peer evaluation scores were already high. • The ceiling effect may have occurred, • It was speculated that: • Class A’s performance was good compared to that of Class B. • They were more lenient than those in Class B. • Class A’s peer evaluation scores may not have improved in the 2nd round, regardless of viewing order. 30
  • 32. Conclusion • The quantitative results of this study was consistent with the original study (Okada et al., in press). • Qualitative findings suggest that watching video recordings of model speakers was effective for different purposes and different reasons. • It will be necessary to enhance internal validity by using teacher evaluation in future study, though. • Viewing non-native speaker models may be feasible to improve EFL learners’ public speaking skills not only in Japan but also in other countries in Asia. 32
  • 33. Acknowledgements This work was supported by: • JSPS Kakenhi Number 15K02730; and • The Research Institute for Language Education at Seisen University, Tokyo. 33