Developing Online Educational Videos Based on Student Preferences: An Exploratory Practice in a General Education English Class
This paper describes an exploratory practice that is aimed at developing preferred online educational videos on grammar explanations and reading comprehension techniques for a university-level online English course. Under the conditions caused by COVID-19 in AY 2020, the authors and their team of co...
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| Published in | ARELE: Annual Review of English Language Education in Japan Vol. 32; pp. 145 - 160 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | Japanese |
| Published |
The Japan Society of English Language Education
31.03.2021
全国英語教育学会 |
| Online Access | Get full text |
| ISSN | 1344-8560 2432-0412 |
| DOI | 10.20581/arele.32.0_145 |
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| Abstract | This paper describes an exploratory practice that is aimed at developing preferred online educational videos on grammar explanations and reading comprehension techniques for a university-level online English course. Under the conditions caused by COVID-19 in AY 2020, the authors and their team of colleagues have begun operating a large-scale, fully online English class, which had long been based on blended instruction. The new online course is designed to include multiple online tests, web-based training materials, and online videos, with the last occupying almost one third of the lesson time. However, designing and developing online videos, especially based on student preferences, were difficult because of the lack of active feedback. Thus, a rating experiment was conducted, and a conjoint analysis was performed to estimate partial utility and its inter-learner variance for each of the following attributes: (a) text display, (b) visual emphasis, (c) dialog or monologue style, (d) teacher's face display, (e) background music, (f) length of the video, and (g) speech rate. The data from students' rating data (N = 401) clearly showed that text display, visual emphasis, dialog style, and time span are the critical factors influencing preferences of videos. Hence, the online videos were to be developed based on the specifications derived from the analysis. |
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| AbstractList | This paper describes an exploratory practice that is aimed at developing preferred online educational videos on grammar explanations and reading comprehension techniques for a university-level online English course. Under the conditions caused by COVID-19 in AY 2020, the authors and their team of colleagues have begun operating a large-scale, fully online English class, which had long been based on blended instruction. The new online course is designed to include multiple online tests, web-based training materials, and online videos, with the last occupying almost one third of the lesson time. However, designing and developing online videos, especially based on student preferences, were difficult because of the lack of active feedback. Thus, a rating experiment was conducted, and a conjoint analysis was performed to estimate partial utility and its inter-learner variance for each of the following attributes: (a) text display, (b) visual emphasis, (c) dialog or monologue style, (d) teacher's face display, (e) background music, (f) length of the video, and (g) speech rate. The data from students' rating data (N = 401) clearly showed that text display, visual emphasis, dialog style, and time span are the critical factors influencing preferences of videos. Hence, the online videos were to be developed based on the specifications derived from the analysis. |
| Author | KUSANAGI, Kunihiro ENOKIDA, Kazumichi |
| Author_FL | 草薙 邦広 榎田 一路 |
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| DocumentTitleAlternate | より選好されるオンライン解説動画の作成を巡って： 教養教育英語科目における探索的実践 |
| DocumentTitle_FL | より選好されるオンライン解説動画の作成を巡って： 教養教育英語科目における探索的実践 |
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| Publisher | The Japan Society of English Language Education 全国英語教育学会 |
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| References | [4] 鬼田崇作・榎田一路・上西幸治・草薙邦広・阪上辰也・田北冬子・達川奎三・森田光宏・吉川りさ（2018）. 「eポートフォリオシステムMaharaを用いた「広島大学英語Can-Doリスト」の活用」『広島外国語教育研究』第21号, 121-135. http://doi.org/10.15027/45305 [6] 草薙邦広・榎田一路・天野修一・鬼田崇作・阪上辰也・高橋有加・中川篤・森田光宏（2020）「広島大 学教養教育英語科目におけるLMSを使用した振り返り活動の実践」Annual Review of English Language Education in Japan, 31, 303-318. [11] Green, P. E., & Rao, V. R. (1971). Conjoint measurement for quantifying judgmental data. Journal of Marketing Research, 8(3), 355-363. https://doi.org/10.2307/3149575 [14] Keddie, J. (2014). Bringing Online Video into the Classroom. Oxford University Press. [19] Shoufan, A. (2019). What motivates university students to like or dislike an educational online video? A sentimental framework. Computers & Education, 134, 132-144. https://doi.org/10.1016/j.compedu.2019.02.008 [8] 星野敦子・北原俊一・安達一寿・綿井雅康・牟田博光（2004）.「大学における授業評価と授業改善の連携：コンジョイント分析を活用して」『日本教育情報学会年会論文集』第20号, 138-141. [18] R Development Core Team. (2016). R: A Language and Environment for Statistical Computing (Ver. 3.3.1). R Foundation for Statistical Computing. http://www.R-project.org. [10] Alm, A. (2006). CALL for autonomy, competence and relatedness: Motivating language learning environments in Web 2.0. The JALT CALL Journal, 2(3), 29-38. https://doi.org/10.29140/jaltcall.v2n3.30 [16] Louviere, J. J. (1988). Analyzing Decision Making: Metric Conjoint Analysis. Sage Publications. [9] 森田光宏・榎田一路・鬼田崇作・阪上辰也・草薙邦広・吉川りさ（2017）.「声掛けメールによるWBT自学自習の促進」『中国地区英語教育学会研究紀要』第47号, 63-72. https://doi.org/10.18983/casele.47.0_63 [1] 榎田一路（2020）.「Podcast 開発経験を生かしたオンデマンド型教材の作成」『FLExICT（外国語教育 xICT）Expo 2020 緊急シンポジウム発表概要集』, 14. http://ptix.at/NmT5XX [13] Green, P. E., & Srinivasan, V. (1990). Conjoint analysis in marketing: New developments with implications for research and practice. Journal of Marketing, 54(4), 3-19. https://doi.org/10.2307/1251756 [17] Luce, R. D., & Tukey, J. W. (1964). Simultaneous conjoint measurement: A new type of fundamental measurement. Journal of Mathematical Psychology, 1(1), 1-27. https://doi.org/10.1016/0022-2496(64)90015-X [3] 榎田一路・森田光宏・阪上辰也・鬼田崇作（2018）.「広大スタンダード6000語彙リスト (HiroTan) の 開発と活用」『広島外国語教育研究』第21号, 111-120. http://doi.org/10.15027/45304 [5] 草薙邦広（2014）.「外国語教育研究と直交表を用いた実験計画―実験計画の効率化を求めて―」『外国 語教育メディア学会（LET）関西支部メソドロジー研究部会報告論集』第4号, 24-33. https://www.mizumot.com/method/04-03_Kusanagi.pdf [22] Wittink, D. R., Vriens, M., & Burhenne, W. (1994). Commercial use of conjoint analysis in Europe: Results and critical reflections. International Journal of Research in Marketing, 11(1), 41-52. https://doi.org/10.1016/0167-8116(94)90033-7 [2] 榎田一路・草薙邦広（2019）.「グループワークを活用した外部検定対策授業」『広島外国語教育研究』 第22号, 13-28. http://doi.org/10.15027/47080 [21] Wittink, D. R., & Cattin, P. (1989). Commercial use of conjoint analysis: An update. Journal of Marketing, 53(3), 91-96. https://doi.org/10.2307/1251345 [7] 長井克己（2004）.「コンジョイント分析の外国語教育への応用」『ことばの科学研究』第5号, 37-44. [20] Stan Development Team. (2018). Stan Modeling Language Users Guide and Reference Manual, Version 2.18.0. http://mc-stan.org [12] Green, P. E., & Srinivasan, V. (1978). Conjoint analysis in consumer research: issues and outlook. Journal of Consumer Research, 5(2), 103-123. [15] Lenk, P. J., DeSarbo, W. S., Green, P. E., & Young, M. R. (1996). Hierarchical Bayes conjoint analysis: Recovery of partworth heterogeneity from reduced experimental designs. Marketing Science, 15(2), 173-191. https://doi.org/10.1287/mksc.15.2.173 |
| References_xml | – reference: [5] 草薙邦広（2014）.「外国語教育研究と直交表を用いた実験計画―実験計画の効率化を求めて―」『外国 語教育メディア学会（LET）関西支部メソドロジー研究部会報告論集』第4号, 24-33. https://www.mizumot.com/method/04-03_Kusanagi.pdf – reference: [7] 長井克己（2004）.「コンジョイント分析の外国語教育への応用」『ことばの科学研究』第5号, 37-44. – reference: [19] Shoufan, A. (2019). What motivates university students to like or dislike an educational online video? A sentimental framework. Computers & Education, 134, 132-144. https://doi.org/10.1016/j.compedu.2019.02.008 – reference: [13] Green, P. E., & Srinivasan, V. (1990). Conjoint analysis in marketing: New developments with implications for research and practice. Journal of Marketing, 54(4), 3-19. https://doi.org/10.2307/1251756 – reference: [14] Keddie, J. (2014). Bringing Online Video into the Classroom. Oxford University Press. – reference: [6] 草薙邦広・榎田一路・天野修一・鬼田崇作・阪上辰也・高橋有加・中川篤・森田光宏（2020）「広島大 学教養教育英語科目におけるLMSを使用した振り返り活動の実践」Annual Review of English Language Education in Japan, 31, 303-318. – reference: [11] Green, P. E., & Rao, V. R. (1971). Conjoint measurement for quantifying judgmental data. Journal of Marketing Research, 8(3), 355-363. https://doi.org/10.2307/3149575 – reference: [4] 鬼田崇作・榎田一路・上西幸治・草薙邦広・阪上辰也・田北冬子・達川奎三・森田光宏・吉川りさ（2018）. 「eポートフォリオシステムMaharaを用いた「広島大学英語Can-Doリスト」の活用」『広島外国語教育研究』第21号, 121-135. http://doi.org/10.15027/45305 – reference: [18] R Development Core Team. (2016). R: A Language and Environment for Statistical Computing (Ver. 3.3.1). R Foundation for Statistical Computing. http://www.R-project.org. – reference: [10] Alm, A. (2006). CALL for autonomy, competence and relatedness: Motivating language learning environments in Web 2.0. The JALT CALL Journal, 2(3), 29-38. https://doi.org/10.29140/jaltcall.v2n3.30 – reference: [16] Louviere, J. J. (1988). Analyzing Decision Making: Metric Conjoint Analysis. Sage Publications. – reference: [9] 森田光宏・榎田一路・鬼田崇作・阪上辰也・草薙邦広・吉川りさ（2017）.「声掛けメールによるWBT自学自習の促進」『中国地区英語教育学会研究紀要』第47号, 63-72. https://doi.org/10.18983/casele.47.0_63 – reference: [15] Lenk, P. J., DeSarbo, W. S., Green, P. E., & Young, M. R. (1996). Hierarchical Bayes conjoint analysis: Recovery of partworth heterogeneity from reduced experimental designs. Marketing Science, 15(2), 173-191. https://doi.org/10.1287/mksc.15.2.173 – reference: [12] Green, P. E., & Srinivasan, V. (1978). Conjoint analysis in consumer research: issues and outlook. Journal of Consumer Research, 5(2), 103-123. – reference: [1] 榎田一路（2020）.「Podcast 開発経験を生かしたオンデマンド型教材の作成」『FLExICT（外国語教育 xICT）Expo 2020 緊急シンポジウム発表概要集』, 14. http://ptix.at/NmT5XX – reference: [8] 星野敦子・北原俊一・安達一寿・綿井雅康・牟田博光（2004）.「大学における授業評価と授業改善の連携：コンジョイント分析を活用して」『日本教育情報学会年会論文集』第20号, 138-141. – reference: [21] Wittink, D. R., & Cattin, P. (1989). Commercial use of conjoint analysis: An update. Journal of Marketing, 53(3), 91-96. https://doi.org/10.2307/1251345 – reference: [20] Stan Development Team. (2018). Stan Modeling Language Users Guide and Reference Manual, Version 2.18.0. http://mc-stan.org – reference: [17] Luce, R. D., & Tukey, J. W. (1964). Simultaneous conjoint measurement: A new type of fundamental measurement. Journal of Mathematical Psychology, 1(1), 1-27. https://doi.org/10.1016/0022-2496(64)90015-X – reference: [22] Wittink, D. R., Vriens, M., & Burhenne, W. (1994). Commercial use of conjoint analysis in Europe: Results and critical reflections. International Journal of Research in Marketing, 11(1), 41-52. https://doi.org/10.1016/0167-8116(94)90033-7 – reference: [2] 榎田一路・草薙邦広（2019）.「グループワークを活用した外部検定対策授業」『広島外国語教育研究』 第22号, 13-28. http://doi.org/10.15027/47080 – reference: [3] 榎田一路・森田光宏・阪上辰也・鬼田崇作（2018）.「広大スタンダード6000語彙リスト (HiroTan) の 開発と活用」『広島外国語教育研究』第21号, 111-120. http://doi.org/10.15027/45304 |
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