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日本の英語教育研究が行ってきたこと、こなかったこと:方法論から考える
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日本の英語教育研究が行ってきたこと、こなかったこと:方法論から考える
JACET北海道支部2018年度第1回支部研究会
@天使大学
Ken Urano
November 18, 2018
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Transcript
ຊͷӳޠڭҭݚڀ͕ߦ͖ͬͯͨ͜ͱɺ ͜ͳ͔ͬͨ͜ͱ: ํ๏͔Βߟ͑Δ Ӝ ݚʢւֶԂେֶʣ email:
[email protected]
JACETւಓࢧ෦2018ୈ1ճࢧ෦ݚڀձ ఱେֶ ɹɹ2018.11.18.
http://www.urano-ken.com/research/jacethokkaido2018
͡Ίʹ ʮݚڀʯͱԿ͔
ݚڀʢresearchʣͱ Research is a systematic process of inquiry consisting of
three elements or components: a. a question, problem, or hypothesis b. data, and c. analysis and interpretation of data (Nunan, 1992, p. 3) question data interpretation
question data interpretation → → ݚڀʢresearchʣͱ systematic
ݚڀ՝ σʔλ ղऍ → → ݚڀʢresearchʣͱ ϧʔϧʢํ๏ʣ
ݚڀʢresearchʣͱ • ݚڀͱɺݚڀ՝ʢ͍ʣΛઃఆ͠ɺ ࠜڌͱͳΔσʔλΛूΊɺͦͷ͑Λ ಋ͖ग़͢ӦΈ • ্هͷ̏ཁૉͦΕͧΕʹ͍ͭͯҰఆͷ ଋ͝ͱ͕͋Δ
ݚڀͷతʢgoalʣ • ݚڀՌΛͲ͜ʹؐݩ͢Δ͔ • ڭࢣʢݚڀऀʣݸਓ • ӳޠڭҭʢݚڀʣશମ
ݚڀͷతʢgoalʣ • ڭࢣݸਓͷؐݩΛࢦ͢ • ࣮ફͱͯ͠ͷݚڀ ʢpractitioner researchʣ • શମͷؐݩΛࢦ͢ •
ֶज़తͳݚڀ ʢacademic researchʣ
ݚڀͷతʢgoalʣ • ࣮ફͱͯ͠ͷݚڀͷత • ࣗͷੜెͨͪʹ͍ͭͯͷཧղΛ ਂΊɺ࣮ફ্ͷΛղܾ͢Δ • ڭࢣͱͯ͠ͷ
ݚڀͷతʢgoalʣ • ྫɿ • ࢼߦࡨޡͷ݁Ռɺࣗͷतۀ͕ ͏·͍͘͘Α͏ʹͳͬͨ • ੜె͕ΔؾΛݟͤΔΑ͏ʹͳͬͨ • ࣗͷ୲Ϋϥεͷ্͕͕ͬͨ
ݚڀͷతʢgoalʣ • ֶज़తͳݚڀͷత • ӳޠڭҭʢݚڀʣશମΛҰา લʹਐΊΔͨΊͷߩݙ • ࣗͷΫϥεҎ֎Ͱཱͭݟ • ଞͷจ຺Ͱͯ·Δݟ
ݚڀͷతʢgoalʣ • ࣮ફͱͯ͠ͷݚڀͱֶज़తͳݚڀ • ༏ྼͳ͍ • త͕ҟͳΓɺํ๏͕ҟͳΔ
࣮ફͱͯ͠ͷݚڀ • ϦϑϨΫςΟϒͳӳޠڭҭΛ ࢦͯ͠ɿڭࢣͷޠΓ͕͘ तۀݚڀʢͻͭ͡ॻʣ • ࣮ફͱͯ͠ͷݚڀͷํ๏ ࣄྫΛऩ ݚڀ
࣮ફͱͯ͠ͷݚڀ • ΑΓΑ͍࣮ફݚڀΛߦ͏ͨΊ ͷ10ͷϙΠϯτʢ౻ా, 2016ʣ • ࣮ફݚڀΛߦ͏ͨΊͷϙΠϯ τͷཧͱࣄྫͷհ https://drive.google.com/file/d/0B-OpnEJKrYAdQzNRb1pDY0pQaUE/view ݚڀ
ֶज़తͳݚڀ ݚڀ • ݚڀՌΛશମʹؐݩ͢ΔͨΊʹ • ࣗͷݚڀͱଞͷݚڀʢઌߦݚڀʣ ͱͷؔΛ໌֬ʹࣔ͢ • ݚڀ݁Ռ͕ଞͷจ຺ʹస༻ʢԠ༻ʣ ՄೳʹͳΔͨΊͷखଓ͖Λ౿Ή
ݚڀͷ̏ཁૉ ݚڀ՝ σʔλ ղऍʢ͑ʣ
ݚڀ՝ͷઃఆํ๏ 1. ͓ΑͦͷݚڀςʔϚΛܾΊΔ 2. ڵຯɾؔ৺ɺݚڀՁɺ࣮ߦՄೳੑΛ ݕ౼͢Δ 3. ؔ࿈͢ΔݚڀʢઌߦݚڀʣΛूΊɺ ಡΈɺ·ͱΊΔ ݚڀ՝
ݚڀ՝ͷઃఆํ๏ 1. ͓ΑͦͷݚڀςʔϚΛܾΊΔ 2. ڵຯɾؔ৺ɺݚڀՁɺ࣮ߦՄೳੑΛ ݕ౼͢Δ 3. ؔ࿈͢ΔݚڀʢઌߦݚڀʣΛूΊɺ ಡΈɺ·ͱΊΔ ݚڀ՝
ݚڀ՝ͷઃఆํ๏ • ڵຯɾؔ৺ • Γ͍ͨ͜ͱ • ݚڀՁ • Δ͖͜ͱɺٻΊΒΕ͍ͯΔ͜ͱ •
࣮ߦՄೳੑ • ΕΔ͜ͱ
ݚڀ՝ͷઃఆํ๏ • ઌߦݚڀͷ·ͱΊ 1. ݚڀςʔϚ͕ͲͷΑ͏ͳΓޱͰ ѻΘΕ͖͔ͯͨ 2. Կ͕ௐࠪ͞ΕɺԿ͕໌͠ɺ Կ͕Θ͔͍ͬͯͳ͍͔ 3.
ཧతܽؕɺํ๏తͳ͍͔
ݚڀ՝ͷઃఆํ๏ • Α͍ݚڀ՝ • ઌߦݚڀͰॏཁͩͱࢦఠ͞Ε͍ͯΔ ͷʹेௐࠪ͞Ε͍ͯͳ͍ͷ • ઌߦݚڀʹ͕͋ΓɺͦΕΛ ղܾ͢Δͷ
ݚڀͷछྨ छྨ Ξϓϩʔν త ୳ࡧʗݕূ จݙݚڀ 1. ઌߦݚڀΛཧ͠༰Λݕ౼͢Δ ࣮ূݚڀ ࣭తݚڀ
1. จ຺Λߟྀͯ͠ࣄΛଊ͑Δ ୳ࡧܕ ݕূܕ 2. จ຺Λߟྀͯ͠ࢀՃऀͷม༰Λଊ͑Δ 3. ࢀՃऀͷܦݧೝࣝΛଊ͑Δ 4. ઌߦݚڀͷର֎ͷࣄΛ໌Β͔ʹ͢Δ 5. ݚڀͷ৴ጪੑΛߴΊΔ ྔతݚڀ 1. ࣄͷಛΛྔతʹهड़͢Δ 2. ࣄͷؔ࿈ੑΛଊ͑Δ 3. ࣄͷࠩҟҼՌؔΛଊ͑Δ Ӝଞʢ2016, p. 8ʣ
୳ࡧͱݕূ • ୳ࡧܕͷݚڀ • ઌߦݚڀ͕ੵ͞Ε͍ͯͳ͍ςʔϚ • ؍ฉ͖औΓͳͲʹΑΓஸೡʹ σʔλΛऩू͠ɺͦͷத͔ΒԿΒ͔ ͷํੑΛݟग़͢͜ͱΛࢦ͢
୳ࡧͱݕূ • ݕূܕͷݚڀ • ઌߦݚڀ͕ੵ͞Εɺ݁Ռʹ͍ͭͯ ͋Δఔ༧ଌͷཱͯΒΕΔςʔϚ • ʮԾઆʯΛઃఆͯͦ͠ΕΛݕূ͢Δ
ݚڀ՝ͷϨϕϧ ݚڀ՝ͷϨϕϧ ݚڀ՝ͷܗࣜ ݚڀ՝ͷछྨ Ϩϕϧ̍ɿ ɹʮԿʯΛ͏՝ ̋̋ͱԿ͔ʁ ୳ࡧܕ Ϩϕϧ̎ɿ ɹؔ࿈ੑΛ͏՝
AͱBʹؔ࿈͕͋Δ͔ʁ ୳ࡧܕɾݕূܕ Ϩϕϧ̏ɿ ɹҼՌؔΛ͏՝ AΛߦ͏ͱB͕ੜ͡Δ͔ʁ ݕূܕ Ӝଞʢ2016, p. 67ʣ
σʔλͱղऍ • ݚڀ՝ʹ߹ͬͨσʔλΛूΊΔ • σʔλͷछྨʹ߹ͬͨੳɾղऍΛ ߦ͏
σʔλऩू๏ • ࣄྫݚڀʢcase studyʣ • ؍ฉ͖औΓʹΑΓਂ͘ௐࠪ͢Δ • ௐࠪݚڀʢsurvey studyʣ •
հೖΛߦΘͣʹσʔλΛऩू͢Δ • ࣮ݧݚڀʢexperimental studyʣ • հೖΛߦ͍ͳ͕ΒσʔλΛऩू͢Δ
ੳɾղऍ • σʔλੳͱɺूΊͨσʔλΛ ղऍՄೳͳܗʹཁ͢Δ͜ͱ • σʔλͷछྨʹΑͬͯཁํ๏͕ ҟͳΔ
σʔλͷछྨ • ࣭తσʔλ • ϑΟʔϧυɾϊʔπΠϯλϏϡʔͷ จࣈى͜͠ͳͲɺԽΛΘͳ͍ ʢݴޠʣσʔλ • ྔతσʔλ •
ௐࠪରΛʹΑͬͯදͨ͠ σʔλ
σʔλͷཁ • ࣭తΞϓϩʔν • ࣭తσʔλΛҙຯతʹཁ͢Δ • ྔతΞϓϩʔν • ྔతσʔλΛ౷ܭతʹཁ͢Δ
࣭తΞϓϩʔν • σʔλੳͱղऍ • ੳͱղऍΛߦ͖དྷ͢Δ • ίʔσΟϯάͱΧςΰϦʔԽ • จ຺ͷॏࢹͱް͍هड़ ʢthick
descriptionʣ • స༻Մೳੑʢtransferabilityʣ
࣭తΞϓϩʔν • σʔλऩू๏ɺੳ๏ͱʹଟ༷ • ํ๏ͷཧղʹɺ࣮ࡍͷݚڀʹ ଟ͘৮ΕΔ͜ͱ͕ඞཁ • Ӝଞʢ2016ʣͷୈ5ষΛࢀর ʢݚڀࣄྫؚΊͨղઆ͕͋Δʣ
ྔతΞϓϩʔν • σʔλੳ • هड़౷ܭͱਪଌ౷ܭ • ແ࡞ҝநग़ɺແ࡞ҝׂͷॏཁੑ
• ͷલͷσʔλʢඪຊʣ͔ΒΑΓେ͖ͳจ຺ ʢूஂʣΛਪఆ͢Δ • ඪຊͰ؍͞ΕΔࠩɾ͕ؔɺूஂ͔Βͷ ඪຊநग़࣌ͷޡࠩͰੜ͡Δ֬ʢp ʣΛ ܭࢉ͢Δ • p
͕ج४ʢྟքʣҎԼͰ͋Εʮ༗ҙʯ Ͱ͋ΔʢޡࠩͰͳ͍ʣͱஅ͢Δ ਪଌ౷ܭʢ༗ҙੑݕఆʣ
• ૬ؔੳͷ߹ɺඪຊͰݟΒΕΔ૬͕ؔແ૬ ؔʢ૬ؔθϩʣͷूஂ͔Βͷඪຊநग़࣌ͷ ޡࠩͰੜ͡Δ֬ʢp ʣΛܭࢉ͢Δ ਪଌ౷ܭʢ༗ҙੑݕఆʣ
ूஂ ඪɹຊ ਪఆ σʔλղੳ Σ, F, t, p... ूஂͱඪຊ
• ͋ΔඪຊͰಘΒΕͨදʢe.g., ฏۉʣ ͱूஂͷදͱͷࠩ ඪຊޡࠩ
ूஂ μ = 15.3 ඪຊA M = 14.7 ඪຊB M
= 15.9 ඪຊC M = 15.2 ඪຊD M = 15.4 ඪຊE M = 15.1
ूஂ μ = 14.7 ඪຊA M = 14.7 ࣮ࡍ M
= μ ͱͯ͠ਪఆ
• ඪຊͷαΠζ͕େ͖͚Εେ͖͍΄Ͳɺ ඪຊޡࠩখ͘͞ͳΔ • ͭ·Γਪఆͷਫ਼͕ߴ͘ͳΔ ඪຊޡࠩ
• ແ࡞ҝநग़ʢrandom samplingʣ • ඪຊ͔ΒूஂΛਪଌ͢Δ͜ͱ͕Մೳͳͷ ɺແ࡞ҝநग़ͷ͓͔͛ • ແ࡞ҝׂʢrandom assignmentʣ •
ෳͷάϧʔϓΛ࡞Δͱ͖ɺແ࡞ҝׂʹΑͬ ͯάϧʔϓؒͷ࣭ੑΛ୲อ͢Δ ແ࡞ҝநग़ɾແ࡞ҝׂ
• • ӳޠڭҭʹ͓͚Δྔతݚڀͷେɺ ແ࡞ҝநग़Λߦ͍ͬͯͳ͍ • ࣮ࡍͷΫϥεΛ͏४࣮ݧݚڀͰɺ ແ࡞ҝׂߦΘΕͳ͍ ແ࡞ҝநग़ɾແ࡞ҝׂ
• ݚڀ݁ՌͷҰൠԽՄೳੑʢgeneralizabilityʣ ͕୲อ͞Ε͍ͯͳ͍ • ݚڀ݁ՌΛଞͷจ຺ʹస༻ʢԠ༻ʣՄೳʹ ͢Δͱ͍͏ɺֶज़తͳݚڀͷେલఏ͕ ຬͨ͞Ε͍ͯͳ͍ ແ࡞ҝநग़ɾແ࡞ҝׂ
͜͜·Ͱͷ·ͱΊ
͜͜·Ͱͷ·ͱΊ • ݚڀՌͷݸਓͷؐݩΛతͱͨ͠ ࣮ફͱͯ͠ͷݚڀ • ݚڀՌͷҰൠԽΛతͱͨ͠ ֶज़తͳݚڀ
͜͜·Ͱͷ·ͱΊ • ֶज़తͳݚڀͷ̎ͭͷύϥμΠϜ • ྔతΞϓϩʔνʢ͘ຬวͳ͘୳Δʣ • ౷ܭతཁɿҰൠԽՄೳੑ • ࣭తΞϓϩʔνʢਂ͘ࡉີʹ୳Δʣ •
ҙຯతཁɿస༻Մೳੑ
ຊ
ຊͷӳޠڭҭݚڀ ͜Ε·ͰԿΛߦ͖͔ͬͯͨ ຊ
શࠃӳޠڭҭֶձʢJASELEʣͷ߹ Mizumoto, Urano, and Maeda (2014) ຊ
Mizumoto et al. (2014) • શࠃӳޠڭҭֶձلཁ ARELE ͷୈ1ʙ24߸ʹ ऩ͞Εͨશจ473ຊͷ͏ͪΦϯϥΠϯͰ ެ։͞Ε͍ͯΔ450ຊΛੳ
Mizumoto et al. (2014) • ӳޠλΠτϧͱཁࢫͷΩʔϫʔυੳ • ૯ޠ79,143ɺҟޠ5,152 • ߹ܭස্Ґ300ޠΛରʹΫϥελʔੳ
• લ12߸ͱޙ12߸ʹ͖Ε͍ʹ͔ΕΔ
Mizumoto et al. (2014) • લ12߸ͱޙ12߸Λൺֱ • ςʔϚͱτϐοΫ • ݚڀख๏
• ޮՌྔͱݕఆྗ
Mizumoto et al. (2014) • લ12߸ͱޙ12߸Λൺֱ • ςʔϚͱτϐοΫ • ݚڀख๏
• ޮՌྔͱݕఆྗ
Mizumoto et al. (2014) • ݚڀͷछྨʢ࣮ূɾௐࠪɾ࣮ફɾཧʣ • ݚڀͷతʢ୳ࡧɾݕূʣ • Ξϓϩʔνʢྔɾ࣭ɾࠞ߹ʣ
• հೖʢ༗ɾແʣ
ཧݚڀ ࣮ફใࠂ ௐࠪใࠂ ࣮ূݚڀ ࢉ
߸ ߸
ͦͷଞ ݕূ ୳ࡧ ࢉʢཧݚڀຊҎ֎ܭຊʣ ߸
߸
ͦͷଞ ϛοΫε ࣭ ྔ ࢉʢཧݚڀຊҎ֎ܭຊʣ
߸ ߸
հೖͳ͠ հೖ͋Γ ܝࡌຊ ߸
߸
Mizumoto et al. (2014) • ·ͱΊ • ࣮ફใࠂ͕গͳ͍ • ୳ࡧܕ͕ଟ͍ʢ͔͠૿͍͑ͯΔʣ
• ࣭తΞϓϩʔν͕ͱͯগͳ͍ • հೖݚڀগͳ͍͕૿͍͑ͯΔ
த෦۠ӳޠڭҭֶձʢCELESʣͷ߹ Ӝଞ (2012) ຊ
Ӝଞ (2012) • த෦۠ӳޠڭҭֶձلཁୈ36ʙ41߸ʹऩ ͞Εͨશจͷ͏࣮ͪূݚڀ151ຊΛੳ
Ӝଞ (2012) • ݚڀͷతʢ୳ࡧɾݕূʣ • σʔλʢྔɾ࣭ʣ • ݚڀͷ݁ʢ୳ࡧɾݕূʣ
" ཧݚڀɺจݙݚڀର͔Β֎ͨ͠ " ʻ࣮ફใࠂʼʹ͍ͭͯผ్ੳͨ͠ ํ๏ ! ҎԼͷྨදʹج͍ͮͯݸʑͷจΛྨͨ͠ ! શମͷΛѲ͢Δ͜ͱ͕తͷͨΊɺΫϩενΣοΫͷ࡞ۀলུͨ͠ λΠϓ
త σʔλ ݁ ಛྫ A ୳ࡧ ྔ ୳ࡧ Ξϯέʔτςετʹجͮ͘ύΠϩοτతݚڀ B ୳ࡧ ྔ ݕূ ֓೦ͷߏతɾૢ࡞తఆ͕ٛෆेʀԾઆ͕ෆ໌ྎͳ ͷʹྔతσʔλͰݕূΛͯ͠͠·͍ͬͯΔ C ୳ࡧ ࣭ ୳ࡧ ΠϯλϏϡʔ؍ʹجͮ͘ɺهड़తݚڀ D ୳ࡧ ࣭ ݕূ ͕݁ඈ༂͠ա͗ͷλΠϓͷݚڀ E ݕূ ྔ ୳ࡧ ݕূͷͨΊͷσʔλ͕ෆे͔ɺ ՝ͷߜΓࠐΈૢ ࡞తఆ͕ٛेͰͳͯ͘ɺ୳ࡧʹऴΘͬͨλΠϓ F ݕূ ྔ ݕূ యܕతͳԾઆݕূܕͷ࣮ূݚڀ G ݕূ ࣭ ୳ࡧ E ͱಉ༷Ͱɺ࣭తσʔλΛओͱ͢Δݚڀ H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚڀ ݁Ռ 64 70
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚ ɽ݁Ռ (%) 42.4 6.6 11.3
1.3 2.0 27.2 1.3 0.0 7.9 64 10 17 2 3 41 2 0 12 0 10 20 30 40 50 60 70 A B C D E F G H ͦͷଞ
" ཧݚڀɺจݙݚڀର͔Β֎ͨ͠ " ʻ࣮ફใࠂʼʹ͍ͭͯผ్ੳͨ͠ ํ๏ ! ҎԼͷྨදʹج͍ͮͯݸʑͷจΛྨͨ͠ ! શମͷΛѲ͢Δ͜ͱ͕తͷͨΊɺΫϩενΣοΫͷ࡞ۀলུͨ͠ λΠϓ
త σʔλ ݁ ಛྫ A ୳ࡧ ྔ ୳ࡧ Ξϯέʔτςετʹجͮ͘ύΠϩοτతݚڀ B ୳ࡧ ྔ ݕূ ֓೦ͷߏతɾૢ࡞తఆ͕ٛෆेʀԾઆ͕ෆ໌ྎͳ ͷʹྔతσʔλͰݕূΛͯ͠͠·͍ͬͯΔ C ୳ࡧ ࣭ ୳ࡧ ΠϯλϏϡʔ؍ʹجͮ͘ɺهड़తݚڀ D ୳ࡧ ࣭ ݕূ ͕݁ඈ༂͠ա͗ͷλΠϓͷݚڀ E ݕূ ྔ ୳ࡧ ݕূͷͨΊͷσʔλ͕ෆे͔ɺ ՝ͷߜΓࠐΈૢ ࡞తఆ͕ٛेͰͳͯ͘ɺ୳ࡧʹऴΘͬͨλΠϓ F ݕূ ྔ ݕূ యܕతͳԾઆݕূܕͷ࣮ূݚڀ G ݕূ ࣭ ୳ࡧ E ͱಉ༷Ͱɺ࣭తσʔλΛओͱ͢Δݚڀ H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚڀ ݁Ռ 64 70
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚ ɽ݁Ռ (%) 42.4 6.6 11.3
1.3 2.0 27.2 1.3 0.0 7.9 64 10 17 2 3 41 2 0 12 0 10 20 30 40 50 60 70 A B C D E F G H ͦͷଞ 61.6%
" ཧݚڀɺจݙݚڀର͔Β֎ͨ͠ " ʻ࣮ફใࠂʼʹ͍ͭͯผ్ੳͨ͠ ํ๏ ! ҎԼͷྨදʹج͍ͮͯݸʑͷจΛྨͨ͠ ! શମͷΛѲ͢Δ͜ͱ͕తͷͨΊɺΫϩενΣοΫͷ࡞ۀলུͨ͠ λΠϓ
త σʔλ ݁ ಛྫ A ୳ࡧ ྔ ୳ࡧ Ξϯέʔτςετʹجͮ͘ύΠϩοτతݚڀ B ୳ࡧ ྔ ݕূ ֓೦ͷߏతɾૢ࡞తఆ͕ٛෆेʀԾઆ͕ෆ໌ྎͳ ͷʹྔతσʔλͰݕূΛͯ͠͠·͍ͬͯΔ C ୳ࡧ ࣭ ୳ࡧ ΠϯλϏϡʔ؍ʹجͮ͘ɺهड़తݚڀ D ୳ࡧ ࣭ ݕূ ͕݁ඈ༂͠ա͗ͷλΠϓͷݚڀ E ݕূ ྔ ୳ࡧ ݕূͷͨΊͷσʔλ͕ෆे͔ɺ ՝ͷߜΓࠐΈૢ ࡞తఆ͕ٛेͰͳͯ͘ɺ୳ࡧʹऴΘͬͨλΠϓ F ݕূ ྔ ݕূ యܕతͳԾઆݕূܕͷ࣮ূݚڀ G ݕূ ࣭ ୳ࡧ E ͱಉ༷Ͱɺ࣭తσʔλΛओͱ͢Δݚڀ H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚڀ ݁Ռ 64 70
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚ ɽ݁Ռ (%) 42.4 6.6 11.3
1.3 2.0 27.2 1.3 0.0 7.9 64 10 17 2 3 41 2 0 12 0 10 20 30 40 50 60 70 A B C D E F G H ͦͷଞ 49.0%
" ཧݚڀɺจݙݚڀର͔Β֎ͨ͠ " ʻ࣮ફใࠂʼʹ͍ͭͯผ్ੳͨ͠ ํ๏ ! ҎԼͷྨදʹج͍ͮͯݸʑͷจΛྨͨ͠ ! શମͷΛѲ͢Δ͜ͱ͕తͷͨΊɺΫϩενΣοΫͷ࡞ۀলུͨ͠ λΠϓ
త σʔλ ݁ ಛྫ A ୳ࡧ ྔ ୳ࡧ Ξϯέʔτςετʹجͮ͘ύΠϩοτతݚڀ B ୳ࡧ ྔ ݕূ ֓೦ͷߏతɾૢ࡞తఆ͕ٛෆेʀԾઆ͕ෆ໌ྎͳ ͷʹྔతσʔλͰݕূΛͯ͠͠·͍ͬͯΔ C ୳ࡧ ࣭ ୳ࡧ ΠϯλϏϡʔ؍ʹجͮ͘ɺهड़తݚڀ D ୳ࡧ ࣭ ݕূ ͕݁ඈ༂͠ա͗ͷλΠϓͷݚڀ E ݕূ ྔ ୳ࡧ ݕূͷͨΊͷσʔλ͕ෆे͔ɺ ՝ͷߜΓࠐΈૢ ࡞తఆ͕ٛेͰͳͯ͘ɺ୳ࡧʹऴΘͬͨλΠϓ F ݕূ ྔ ݕূ యܕతͳԾઆݕূܕͷ࣮ূݚڀ G ݕূ ࣭ ୳ࡧ E ͱಉ༷Ͱɺ࣭తσʔλΛओͱ͢Δݚڀ H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚڀ ݁Ռ 64 70
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚ ɽ݁Ռ (%) 42.4 6.6 11.3
1.3 2.0 27.2 1.3 0.0 7.9 64 10 17 2 3 41 2 0 12 0 10 20 30 40 50 60 70 A B C D E F G H ͦͷଞ 30.5%
" ཧݚڀɺจݙݚڀର͔Β֎ͨ͠ " ʻ࣮ફใࠂʼʹ͍ͭͯผ్ੳͨ͠ ํ๏ ! ҎԼͷྨදʹج͍ͮͯݸʑͷจΛྨͨ͠ ! શମͷΛѲ͢Δ͜ͱ͕తͷͨΊɺΫϩενΣοΫͷ࡞ۀলུͨ͠ λΠϓ
త σʔλ ݁ ಛྫ A ୳ࡧ ྔ ୳ࡧ Ξϯέʔτςετʹجͮ͘ύΠϩοτతݚڀ B ୳ࡧ ྔ ݕূ ֓೦ͷߏతɾૢ࡞తఆ͕ٛෆेʀԾઆ͕ෆ໌ྎͳ ͷʹྔతσʔλͰݕূΛͯ͠͠·͍ͬͯΔ C ୳ࡧ ࣭ ୳ࡧ ΠϯλϏϡʔ؍ʹجͮ͘ɺهड़తݚڀ D ୳ࡧ ࣭ ݕূ ͕݁ඈ༂͠ա͗ͷλΠϓͷݚڀ E ݕূ ྔ ୳ࡧ ݕূͷͨΊͷσʔλ͕ෆे͔ɺ ՝ͷߜΓࠐΈૢ ࡞తఆ͕ٛेͰͳͯ͘ɺ୳ࡧʹऴΘͬͨλΠϓ F ݕূ ྔ ݕূ యܕతͳԾઆݕূܕͷ࣮ূݚڀ G ݕূ ࣭ ୳ࡧ E ͱಉ༷Ͱɺ࣭తσʔλΛओͱ͢Δݚڀ H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚڀ ݁Ռ 64 70
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚ ɽ݁Ռ (%) 42.4 6.6 11.3
1.3 2.0 27.2 1.3 0.0 7.9 64 10 17 2 3 41 2 0 12 0 10 20 30 40 50 60 70 A B C D E F G H ͦͷଞ 13.9%
Ӝଞ (2012) • ୳ࡧΛతͱ͢Δݚڀ͕ଟ͍ • ಛʹΞϯέʔτௐࠪΛத৺ͱͨ͠ྔతݚڀ ཱ͕ͭ • ٯʹԾઆݕূΛతͱ͢Δݚڀ͕গͳ͍ •
࣭తσʔλΛѻͬͨݚڀ͕গͳ͍
Ӝଞ (2012) • ୳ࡧܕ͕ଟ͘ɺݕূܕ͕গͳ͍ • ݚڀՌͷू͕ਐ·ͳ͍͓ͦΕ • ݕূܕݚڀ͕૿͑Δ͜ͱ͕·͍͠ • ୳ࡧܕͦͷͷʹ͕͋ΔΘ͚Ͱͳ͍
Ӝଞ (2012) • ͳͥ୳ࡧܕݚڀ͕ଟ͍ͷ͔ • ϖʔδͷ੍ݶ • ݕূՄೳͳԾઆܗ·ͰͷྲྀΕΛ࡞Εͳ͍ • ݚڀͷ࣭ͷ
• ઌߦݚڀͷੳ͕ෆे • ʮͱΓ͋͑ͣσʔλΛूΊ·ͨ͠ʯతݚڀ
Ӝଞ (2012) • ࣭తσʔλΛѻͬͨݚڀ͕গͳ͍ • ࣭తݚڀ๏͕ਁಁ͍ͯ͠ͳ͍Մೳੑ • ϖʔδͷ੍ݶ͕͔ͤʹͳ͍ͬͯΔՄೳੑ • ৹ࠪମ੍͕͍ͬͯͳ͍Մೳੑ
Ӝଞ (2012) • ·ͱΊ • దͳݚڀख๏Λબ͢Δॏཁੑ • ݕূܕݚڀΛ૿͢ඞཁੑ • ࣭తݚڀΛ૿͢ඞཁੑ
͜͜·Ͱͷ·ͱΊ
͜͜·Ͱͷ·ͱΊ • దͳݚڀ՝ͷઃఆ • ݚڀతʹ߹ͬͨσʔλऩूͱੳ
ڭҭతࣔࠦ
• ӳޠڭҭݚڀͰɺ࠷ޙʹʮڭҭతࣔࠦʯΛ ड़Δ͜ͱ͕ظ͞ΕΔ͜ͱ͕ଟ͍ • ୯Ұͷݚڀ͔ΒࣔࠦΛड़ͯΑ͍ͷ͔ ڭҭతࣔࠦ
• ྔతݚڀ • ҰൠԽՄೳੑ͕୲อ͞Ε͍ͯͳ͍߹ɺ ຊདྷͳΒݚڀ݁ՌҰൠԽͰ͖ͳ͍ • ಉ͜͡ͱΛผͷจ຺Ͱߦͬͯɺ ಉ݁͡Ռ͕ಘΒΕΔอূͳ͍ • ࠶ݱੑʢreproducibilityʣ
ڭҭతࣔࠦ
• ࠶ݱੑʢreproducibilityʣ·ͨ࠶ݱՄೳੑ ʢreplicabilityʣ • ৺ཧֶͰେنʹߦͬͨࢼݚڀͰɺ ಉ݁͡Ռ͕࠶ݱ͞Εͨͷ4ׂҎԼͩͬͨ ʢຊࣾձ৺ཧֶձใҕһձ, 2016ʣ • ӳޠڭҭͰͲ͏͔ʢߟ͑ͨ͘ͳ͍ʣ
ڭҭతࣔࠦ
• ࣭తݚڀ • ݚڀ݁Ռ͕จ຺ʹґଘ͢ΔͨΊɺ ͦͦҰൠԽߦΘͳ͍ • ް͍هड़Λߦ͏͜ͱͰɺݚڀ݁Ռ͕ผͷ จ຺Ͱͯ·Δ͔Ͳ͏͔ͷஅΛ ಡऀʹҕͶΔ ڭҭతࣔࠦ
• ӳޠڭҭݚڀʹ͓͍ͯɺ୯Ұͷݚڀ͔Β աͳҰൠԽʢڭҭతࣔࠦʣΛߦ͏ͷ ෆద • ͰͲ͏͢Δʁ ڭҭతࣔࠦ
• ݚڀͷݶքΛਅ伨ʹड͚ࢭΊɺڭҭతࣔࠦ Ͱ͖Δ͚ͩ conservative ͳͷʹཹΊΔ • େ͖ͳڭҭతࣔࠦɺݸʑͷݚڀͰͳ͘ɺ ෳͷؔ࿈ݚڀͷ݁ՌΛ·ͱΊͨܗͰߦ͏ • ݚڀͷ౷߹ʢresearch
synthesisʣͱ ϝλੳʢmeta-analysisʣ • ࢼʢreplicationʣͷॏཁੑ ڭҭతࣔࠦ
• ౷߹ɾࢼʹ͑͏ΔݚڀΛߦ͏͜ͱ͕ॏཁ • ݚڀՁͷߴ͍ςʔϚ • ࢼΛߦ͏ͨΊͷใ։ࣔ • هड़౷ܭྔͷ։ࣔ • ʢͰ͖Εʣແ࡞ҝׂͷσβΠϯ
ڭҭతࣔࠦ
• ͡Ίͯͷӳޠڭҭݚڀɿ ԡ͓͖͍͑ͯͨ͞ίπͱ ϙΠϯτʢݚڀࣾʣ • ݚڀͷํ๏ʹ͍ͭͯɺଟ͘ ͷ࣮ྫΛհ͠ͳ͕Βղઆ͠ ͍ͯ·͢ ओͳࢀߟจݙ
• ֎ࠃޠڭҭݚڀϋϯυϒοΫ • ࣭తɾྔతݚڀͷ྆ํʹ͍ͭ ͯஸೡʹղઆ͞Ε͍ͯ·͢ ओͳࢀߟจݙ
શମͷ·ͱΊ
શମͷ·ͱΊ • ࣮ફͱͯ͠ͷݚڀͱֶज़తͳݚڀ • ݚڀͷ̏ཁૉʢݚڀ՝ɺσʔλɺղऍʣ • ͜Ε·Ͱͷݚڀͷ֓؍ • ҰൠԽͱڭҭతࣔࠦͷ͠͞ •
ݚڀͷੵͷॏཁੑ Ken Urano
[email protected]
http://www.urano-ken.com/research/jacethokkaido2018
• ౻ా. (2016). ΑΓΑ͍࣮ફݚڀΛߦ͏ͨΊͷ10ͷϙΠϯτ. ୈ46ճத෦۠ӳޠڭҭֶձࡾॏେձɾӳޠڭҭݚ ڀ๏ηϛφʔ. Retrieved from: https://drive.google.com/file/d/0B-OpnEJKrYAdQzNRb1pDY0pQaUE/view •
Mizumoto, A., Urano, K., & Maeda, H. (2014). A systematic review of published articles in ARELE 1–24 : Focusing on their themes, methods, and outcomes. ARELE, 25, 33–48. https://doi.org/10.20581/arele.25.0_33 • ຊࣾձ৺ཧֶձใҕһձ. (2016). ৺ཧֶݚڀͷ࠶ݱੑʹؔ͢Δ૪. Retrieved from: https://sites.google.com/ site/jssppr/home/reproducibility • Nunan, D. (1992). Research methods in language learning. Cambridge University Press. • ཧɾਫຊಞ (ฤ). (2014). ʰ֎ࠃޠڭҭݚڀϋϯυϒοΫ: ݚڀख๏ͷΑΓྑ͍ཧղͷͨΊʹ (վగ൛)ʱ౦ژ: দദ ࣾ. • ӜݚɾञҪӳथɾ∁ѥرࢠɾాதɾ౻ాɾຊాউٱɾཧཅҰ. (2012). ӳޠڭҭݚڀ๏ͷաڈɾݱࡏɾ ະདྷ. ୈ42ճத෦۠ӳޠڭҭֶձذෞେձɾ՝ผݚڀϓϩδΣΫτ. • ӜݚɾཧཅҰɾాதɾ౻ాɾ∁ѥرࢠɾञҪӳथ. (2016). ʰ͡Ίͯͷӳޠڭҭݚڀ: ԡ͓͖͑ͯ͞ ͍ͨίπͱϙΠϯτʱ౦ژ: ݚڀࣾ. • ٢ాୡ߂ɾۄҪ݈ɾԣߔਈҰɾࠓҪ༟೭ɾ༄ཅհ (ฤ). (2009). ʰϦϑϨΫςΟϒͳӳޠڭҭΛࢦͯ͠: ڭࢣͷ ޠΓ͕͘तۀݚڀʱ౦ژ: ͻͭ͡ॻ. Ҿ༻จݙ