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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೔ຊͷӳޠڭҭݚڀ͕ߦ͖ͬͯͨ͜ͱɺ ͜ͳ͔ͬͨ͜ͱ: ํ๏࿦͔Βߟ͑Δ Ӝ໺ ݚʢ๺ւֶԂେֶʣ email: urano@hgu.jp JACET๺ւಓࢧ෦2018೥౓ୈ1ճࢧ෦ݚڀձ ఱ࢖େֶ ɹɹ2018.11.18. http://www.urano-ken.com/research/jacethokkaido2018

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͸͡Ίʹ ʮݚڀʯͱ͸Կ͔

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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

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question data interpretation → → ݚڀʢresearchʣͱ͸ systematic

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ݚڀ՝୊ σʔλ ղऍ → → ݚڀʢresearchʣͱ͸ ϧʔϧʢํ๏࿦ʣ

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ݚڀʢresearchʣͱ͸ • ݚڀͱ͸ɺݚڀ՝୊ʢ໰͍ʣΛઃఆ͠ɺ ࠜڌͱͳΔσʔλΛूΊɺͦͷ౴͑Λ ಋ͖ग़͢ӦΈ • ্هͷ̏ཁૉͦΕͧΕʹ͍ͭͯҰఆͷ ໿ଋ͝ͱ͕͋Δ

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ݚڀͷ໨తʢgoalʣ • ݚڀ੒ՌΛͲ͜ʹؐݩ͢Δ͔ • ڭࢣʢݚڀऀʣݸਓ • ӳޠڭҭʢݚڀʣ෼໺શମ

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ݚڀͷ໨తʢgoalʣ • ڭࢣݸਓ΁ͷؐݩΛ໨ࢦ͢ • ࣮ફͱͯ͠ͷݚڀ  ʢpractitioner researchʣ • ෼໺શମ΁ͷؐݩΛ໨ࢦ͢ • ֶज़తͳݚڀ  ʢacademic researchʣ

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ݚڀͷ໨తʢgoalʣ • ࣮ફͱͯ͠ͷݚڀͷ໨త • ࣗ෼ͷੜెͨͪʹ͍ͭͯͷཧղΛ  ਂΊɺ࣮ફ্ͷ໰୊Λղܾ͢Δ • ڭࢣͱͯ͠ͷ੒௕

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ݚڀͷ໨తʢgoalʣ • ྫɿ • ࢼߦࡨޡͷ݁Ռɺࣗ෼ͷतۀ͕  ͏·͍͘͘Α͏ʹͳͬͨ • ੜె͕΍ΔؾΛݟͤΔΑ͏ʹͳͬͨ • ࣗ෼ͷ୲౰Ϋϥεͷ੒੷্͕͕ͬͨ

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ݚڀͷ໨తʢgoalʣ • ֶज़తͳݚڀͷ໨త • ӳޠڭҭʢݚڀʣ෼໺શମΛҰา  લʹਐΊΔͨΊͷߩݙ • ࣗ෼ͷΫϥεҎ֎Ͱ΋໾ཱͭ஌ݟ • ଞͷจ຺Ͱ΋౰ͯ͸·Δ஌ݟ

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ݚڀͷ໨తʢgoalʣ • ࣮ફͱͯ͠ͷݚڀͱֶज़తͳݚڀ • ༏ྼ͸ͳ͍ • ໨త͕ҟͳΓɺํ๏࿦͕ҟͳΔ

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࣮ફͱͯ͠ͷݚڀ • ϦϑϨΫςΟϒͳӳޠڭҭΛ ໨ࢦͯ͠ɿڭࢣͷޠΓ͕୓͘ तۀݚڀʢͻͭ͡ॻ๪ʣ • ࣮ફͱͯ͠ͷݚڀͷํ๏࿦΍ ࣄྫΛऩ࿥ ݚڀ

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࣮ફͱͯ͠ͷݚڀ • ΑΓΑ͍࣮ફݚڀΛߦ͏ͨΊ ͷ10ͷϙΠϯτʢ౻ా, 2016ʣ • ࣮ફݚڀΛߦ͏ͨΊͷϙΠϯ τͷ੔ཧͱࣄྫͷ঺հ https://drive.google.com/file/d/0B-OpnEJKrYAdQzNRb1pDY0pQaUE/view ݚڀ

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ֶज़తͳݚڀ ݚڀ • ݚڀ੒ՌΛ෼໺શମʹؐݩ͢ΔͨΊʹ • ࣗ෼ͷݚڀͱଞͷݚڀʢઌߦݚڀʣ ͱͷؔ܎Λ໌֬ʹࣔ͢ • ݚڀ݁Ռ͕ଞͷจ຺ʹస༻ʢԠ༻ʣ ՄೳʹͳΔͨΊͷखଓ͖Λ౿Ή

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ݚڀͷ̏ཁૉ ݚڀ՝୊ σʔλ ղऍʢ౴͑ʣ

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ݚڀ՝୊ͷઃఆํ๏ 1. ͓ΑͦͷݚڀςʔϚΛܾΊΔ 2. ڵຯɾؔ৺ɺݚڀՁ஋ɺ࣮ߦՄೳੑΛ  ݕ౼͢Δ 3. ؔ࿈͢ΔݚڀʢઌߦݚڀʣΛूΊɺ  ಡΈɺ·ͱΊΔ ݚڀ՝୊

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ݚڀ՝୊ͷઃఆํ๏ 1. ͓ΑͦͷݚڀςʔϚΛܾΊΔ 2. ڵຯɾؔ৺ɺݚڀՁ஋ɺ࣮ߦՄೳੑΛ  ݕ౼͢Δ 3. ؔ࿈͢ΔݚڀʢઌߦݚڀʣΛूΊɺ  ಡΈɺ·ͱΊΔ ݚڀ՝୊

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ݚڀ՝୊ͷઃఆํ๏ • ڵຯɾؔ৺ • ΍Γ͍ͨ͜ͱ • ݚڀՁ஋ • ΍Δ΂͖͜ͱɺٻΊΒΕ͍ͯΔ͜ͱ • ࣮ߦՄೳੑ • ΍ΕΔ͜ͱ

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ݚڀ՝୊ͷઃఆํ๏ • ઌߦݚڀͷ·ͱΊ 1. ݚڀςʔϚ͕ͲͷΑ͏ͳ੾ΓޱͰ  ѻΘΕ͖͔ͯͨ 2. Կ͕ௐࠪ͞ΕɺԿ͕൑໌͠ɺ  Կ͕Θ͔͍ͬͯͳ͍͔ 3. ཧ࿦తܽؕɺํ๏࿦త໰୊͸ͳ͍͔

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ݚڀ՝୊ͷઃఆํ๏ • Α͍ݚڀ՝୊ • ઌߦݚڀͰॏཁͩͱࢦఠ͞Ε͍ͯΔ ͷʹे෼ௐࠪ͞Ε͍ͯͳ͍΋ͷ • ઌߦݚڀʹ໰୊͕͋ΓɺͦΕΛ  ղܾ͢Δ΋ͷ

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ݚڀͷछྨ छྨ Ξϓϩʔν ໨త ୳ࡧʗݕূ จݙݚڀ 1. ઌߦݚڀΛ੔ཧ͠಺༰Λݕ౼͢Δ ࣮ূݚڀ ࣭తݚڀ 1. จ຺Λߟྀͯ͠ࣄ৅Λଊ͑Δ ୳ࡧܕ ݕূܕ 2. จ຺Λߟྀͯ͠ࢀՃऀͷม༰Λଊ͑Δ 3. ࢀՃऀͷܦݧ΍ೝࣝΛଊ͑Δ 4. ઌߦݚڀͷର৅֎ͷࣄ৅Λ໌Β͔ʹ͢Δ 5. ݚڀͷ৴ጪੑΛߴΊΔ ྔతݚڀ 1. ࣄ৅ͷಛ௃΍܏޲Λྔతʹهड़͢Δ 2. ࣄ৅ͷؔ࿈ੑΛଊ͑Δ 3. ࣄ৅ͷࠩҟ΍ҼՌؔ܎Λଊ͑Δ Ӝ໺ଞʢ2016, p. 8ʣ

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୳ࡧͱݕূ • ୳ࡧܕͷݚڀ • ઌߦݚڀ͕஝ੵ͞Ε͍ͯͳ͍ςʔϚ • ؍࡯΍ฉ͖औΓͳͲʹΑΓஸೡʹ  σʔλΛऩू͠ɺͦͷத͔ΒԿΒ͔ ͷํ޲ੑΛݟग़͢͜ͱΛ໨ࢦ͢

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୳ࡧͱݕূ • ݕূܕͷݚڀ • ઌߦݚڀ͕஝ੵ͞Εɺ݁Ռʹ͍ͭͯ ͋Δఔ౓༧ଌͷཱͯΒΕΔςʔϚ • ʮԾઆʯΛઃఆͯͦ͠ΕΛݕূ͢Δ

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ݚڀ՝୊ͷϨϕϧ ݚڀ՝୊ͷϨϕϧ ݚڀ՝୊ͷܗࣜ ݚڀ՝୊ͷछྨ Ϩϕϧ̍ɿ  ɹʮԿʯΛ໰͏՝୊ ̋̋ͱ͸Կ͔ʁ ୳ࡧܕ Ϩϕϧ̎ɿ ɹؔ࿈ੑΛ໰͏՝୊ AͱBʹ͸ؔ࿈͕͋Δ͔ʁ ୳ࡧܕɾݕূܕ Ϩϕϧ̏ɿ ɹҼՌؔ܎Λ໰͏՝୊ AΛߦ͏ͱB͕ੜ͡Δ͔ʁ ݕূܕ Ӝ໺ଞʢ2016, p. 67ʣ

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σʔλͱղऍ • ݚڀ՝୊ʹ߹ͬͨσʔλΛूΊΔ • σʔλͷछྨʹ߹ͬͨ෼ੳɾղऍΛ  ߦ͏

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σʔλऩू๏ • ࣄྫݚڀʢcase studyʣ • ؍࡯΍ฉ͖औΓʹΑΓਂ͘ௐࠪ͢Δ • ௐࠪݚڀʢsurvey studyʣ • հೖΛߦΘͣʹσʔλΛऩू͢Δ • ࣮ݧݚڀʢexperimental studyʣ • հೖΛߦ͍ͳ͕ΒσʔλΛऩू͢Δ

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෼ੳɾղऍ • σʔλ෼ੳͱ͸ɺूΊͨσʔλΛ  ղऍՄೳͳܗʹཁ໿͢Δ͜ͱ • σʔλͷछྨʹΑͬͯཁ໿ํ๏͕  ҟͳΔ

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σʔλͷछྨ • ࣭తσʔλ • ϑΟʔϧυɾϊʔπ΍ΠϯλϏϡʔͷ จࣈى͜͠ͳͲɺ਺஋ԽΛ൐Θͳ͍ ʢݴޠʣσʔλ • ྔతσʔλ • ௐࠪର৅Λ਺஋ʹΑͬͯදͨ͠  σʔλ

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σʔλͷཁ໿ • ࣭తΞϓϩʔν • ࣭తσʔλΛҙຯతʹཁ໿͢Δ • ྔతΞϓϩʔν • ྔతσʔλΛ౷ܭతʹཁ໿͢Δ

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࣭తΞϓϩʔν • σʔλ෼ੳͱղऍ • ෼ੳͱղऍΛߦ͖དྷ͢Δ • ίʔσΟϯάͱΧςΰϦʔԽ • จ຺ͷॏࢹͱް͍هड़  ʢthick descriptionʣ • స༻Մೳੑʢtransferabilityʣ

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࣭తΞϓϩʔν • σʔλऩू๏ɺ෼ੳ๏ͱ΋ʹଟ༷ • ํ๏࿦ͷཧղʹ͸ɺ࣮ࡍͷݚڀʹ  ଟ͘৮ΕΔ͜ͱ͕ඞཁ • Ӝ໺ଞʢ2016ʣͷୈ5ষΛࢀর  ʢݚڀࣄྫ΋ؚΊͨղઆ͕͋Δʣ

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ྔతΞϓϩʔν • σʔλ෼ੳ • هड़౷ܭͱਪଌ౷ܭ • ແ࡞ҝநग़ɺແ࡞ҝׂ෇ͷॏཁੑ

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• ໨ͷલͷσʔλʢඪຊʣ͔ΒΑΓେ͖ͳจ຺ ʢ฼ूஂʣΛਪఆ͢Δ • ඪຊͰ؍࡯͞ΕΔࠩɾؔ܎͕ɺ฼ूஂ͔Βͷ ඪຊநग़࣌ͷޡࠩͰੜ͡Δ֬཰ʢp ஋ʣΛ  ܭࢉ͢Δ • p ஋͕ج४஋ʢྟք஋ʣҎԼͰ͋Ε͹ʮ༗ҙʯ Ͱ͋ΔʢޡࠩͰ͸ͳ͍ʣͱ൑அ͢Δ ਪଌ౷ܭʢ༗ҙੑݕఆʣ

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• ૬ؔ෼ੳͷ৔߹ɺඪຊͰݟΒΕΔ૬͕ؔແ૬ ؔʢ૬ؔθϩʣͷ฼ूஂ͔Βͷඪຊநग़࣌ͷ ޡࠩͰੜ͡Δ֬཰ʢp ஋ʣΛܭࢉ͢Δ ਪଌ౷ܭʢ༗ҙੑݕఆʣ

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฼ूஂ ඪɹຊ ਪఆ σʔλղੳ Σ, F, t, p... ฼ूஂͱඪຊ

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• ͋ΔඪຊͰಘΒΕͨ୅ද஋ʢe.g., ฏۉʣ ͱ฼ूஂͷ୅ද஋ͱͷࠩ ඪຊޡࠩ

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฼ूஂ  μ = 15.3 ඪຊA  M = 14.7 ඪຊB  M = 15.9 ඪຊC  M = 15.2 ඪຊD  M = 15.4 ඪຊE  M = 15.1

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฼ूஂ  μ = 14.7 ඪຊA  M = 14.7 ࣮ࡍ͸ M = μ ͱͯ͠ਪఆ

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• ඪຊͷαΠζ͕େ͖͚Ε͹େ͖͍΄Ͳɺ ඪຊޡࠩ͸খ͘͞ͳΔ • ͭ·Γਪఆͷਫ਼౓͕ߴ͘ͳΔ ඪຊޡࠩ

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• ແ࡞ҝநग़ʢrandom samplingʣ • ඪຊ͔Β฼ूஂΛਪଌ͢Δ͜ͱ͕Մೳͳͷ ͸ɺແ࡞ҝநग़ͷ͓͔͛ • ແ࡞ҝׂ෇ʢrandom assignmentʣ • ෳ਺ͷάϧʔϓΛ࡞Δͱ͖ɺແ࡞ҝׂ෇ʹΑͬ ͯάϧʔϓؒͷ౳࣭ੑΛ୲อ͢Δ ແ࡞ҝநग़ɾແ࡞ҝׂ෇

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• ໰୊఺ • ӳޠڭҭʹ͓͚Δྔతݚڀͷେ൒͸ɺ  ແ࡞ҝநग़Λߦ͍ͬͯͳ͍ • ࣮ࡍͷΫϥεΛ࢖͏४࣮ݧݚڀͰ͸ɺ  ແ࡞ҝׂ෇΋ߦΘΕͳ͍ ແ࡞ҝநग़ɾແ࡞ҝׂ෇

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• ݚڀ݁ՌͷҰൠԽՄೳੑʢgeneralizabilityʣ ͕୲อ͞Ε͍ͯͳ͍ • ݚڀ݁ՌΛଞͷจ຺ʹస༻ʢԠ༻ʣՄೳʹ  ͢Δͱ͍͏ɺֶज़తͳݚڀͷେલఏ͕  ຬͨ͞Ε͍ͯͳ͍ ແ࡞ҝநग़ɾແ࡞ҝׂ෇

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͜͜·Ͱͷ·ͱΊ

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͜͜·Ͱͷ·ͱΊ • ݚڀ੒Ռͷݸਓ΁ͷؐݩΛ໨తͱͨ͠  ࣮ફͱͯ͠ͷݚڀ • ݚڀ੒ՌͷҰൠԽΛ໨తͱͨ͠  ֶज़తͳݚڀ

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͜͜·Ͱͷ·ͱΊ • ֶज़తͳݚڀͷ̎ͭͷύϥμΠϜ • ྔతΞϓϩʔνʢ޿͘ຬวͳ͘୳Δʣ • ౷ܭతཁ໿ɿҰൠԽՄೳੑ • ࣭తΞϓϩʔνʢਂ͘ࡉີʹ୳Δʣ • ҙຯతཁ໿ɿస༻Մೳੑ

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ຊ୊

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೔ຊͷӳޠڭҭݚڀ͸  ͜Ε·ͰԿΛߦ͖͔ͬͯͨ ຊ୊

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શࠃӳޠڭҭֶձʢJASELEʣͷ৔߹ Mizumoto, Urano, and Maeda (2014) ຊ୊

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Mizumoto et al. (2014) • શࠃӳޠڭҭֶձلཁ ARELE ͷୈ1ʙ24߸ʹ  ऩ࿥͞Εͨશ࿦จ473ຊͷ͏ͪΦϯϥΠϯͰ  ެ։͞Ε͍ͯΔ450ຊΛ෼ੳ

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Mizumoto et al. (2014) • ӳޠλΠτϧͱཁࢫͷΩʔϫʔυ෼ੳ • ૯ޠ਺79,143ɺҟޠ਺5,152 • ߹ܭස౓্Ґ300ޠΛର৅ʹΫϥελʔ෼ੳ • લ൒12߸ͱޙ൒12߸ʹ͖Ε͍ʹ෼͔ΕΔ

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Mizumoto et al. (2014) • લ൒12߸ͱޙ൒12߸Λൺֱ • ςʔϚͱτϐοΫ • ݚڀख๏ • ޮՌྔͱݕఆྗ

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Mizumoto et al. (2014) • લ൒12߸ͱޙ൒12߸Λൺֱ • ςʔϚͱτϐοΫ • ݚڀख๏ • ޮՌྔͱݕఆྗ

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Mizumoto et al. (2014) • ݚڀͷछྨʢ࣮ূɾௐࠪɾ࣮ફɾཧ࿦ʣ • ݚڀͷ໨తʢ୳ࡧɾݕূʣ • Ξϓϩʔνʢྔɾ࣭ɾࠞ߹ʣ • հೖʢ༗ɾແʣ

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ཧ࿦ݚڀ ࣮ફใࠂ ௐࠪใࠂ ࣮ূݚڀ ׵ࢉ ߸ ߸

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ͦͷଞ ݕূ ୳ࡧ ׵ࢉʢཧ࿦ݚڀຊҎ֎ܭຊʣ ߸ ߸

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ͦͷଞ ϛοΫε ࣭ ྔ ׵ࢉʢཧ࿦ݚڀຊҎ֎ܭຊʣ ߸ ߸

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հೖͳ͠ հೖ͋Γ ܝࡌຊ਺ ߸ ߸

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Mizumoto et al. (2014) • ·ͱΊ • ࣮ફใࠂ͕গͳ͍ • ୳ࡧܕ͕ଟ͍ʢ͔͠΋૿͍͑ͯΔʣ • ࣭తΞϓϩʔν͕ͱͯ΋গͳ͍ • հೖݚڀ͸গͳ͍͕૿͍͑ͯΔ

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த෦஍۠ӳޠڭҭֶձʢCELESʣͷ৔߹ Ӝ໺ଞ (2012) ຊ୊

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Ӝ໺ଞ (2012) • த෦஍۠ӳޠڭҭֶձلཁୈ36ʙ41߸ʹऩ࿥  ͞Εͨશ࿦จͷ͏࣮ͪূݚڀ151ຊΛ෼ੳ

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Ӝ໺ଞ (2012) • ݚڀͷ໨తʢ୳ࡧɾݕূʣ • σʔλʢྔɾ࣭ʣ • ݚڀͷ݁࿦ʢ୳ࡧɾݕূʣ

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" ཧ࿦ݚڀɺจݙݚڀ͸ର৅͔Β֎ͨ͠ " ʻ࣮ફใࠂʼʹ͍ͭͯ͸ผ్෼ੳͨ͠ ํ๏ ! ҎԼͷ෼ྨදʹج͍ͮͯݸʑͷ࿦จΛ෼ྨͨ͠ ! શମͷ܏޲Λ೺Ѳ͢Δ͜ͱ͕໨తͷͨΊɺΫϩενΣοΫ౳ͷ࡞ۀ͸লུͨ͠ λΠϓ ໨త σʔλ ݁࿦ ಛ௃ྫ A ୳ࡧ ྔ ୳ࡧ Ξϯέʔτ΍ςετʹجͮ͘ύΠϩοτతݚڀ B ୳ࡧ ྔ ݕূ ֓೦ͷߏ੒తɾૢ࡞తఆ͕ٛෆे෼ʀԾઆ͕ෆ໌ྎͳ ͷʹྔతσʔλͰݕূΛͯ͠͠·͍ͬͯΔ C ୳ࡧ ࣭ ୳ࡧ ΠϯλϏϡʔ΍؍࡯ʹجͮ͘ɺهड़తݚڀ D ୳ࡧ ࣭ ݕূ ݁࿦͕ඈ༂͠ա͗ͷλΠϓͷݚڀ E ݕূ ྔ ୳ࡧ ݕূͷͨΊͷσʔλ͕ෆे෼͔ɺ ՝୊ͷߜΓࠐΈ΍ૢ ࡞తఆ͕ٛे෼Ͱ͸ͳͯ͘ɺ୳ࡧʹऴΘͬͨλΠϓ F ݕূ ྔ ݕূ యܕతͳԾઆݕূܕͷ࣮ূݚڀ G ݕূ ࣭ ୳ࡧ E ͱಉ༷Ͱɺ࣭తσʔλΛओͱ͢Δݚڀ H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετ΍ߏ଄Խ؍࡯ʹجͮ͘ݚڀ ݁Ռ 64 70

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H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετ΍ߏ଄Խ؍࡯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

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H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετ΍ߏ଄Խ؍࡯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%

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H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετ΍ߏ଄Խ؍࡯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%

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H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετ΍ߏ଄Խ؍࡯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%

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H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετ΍ߏ଄Խ؍࡯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%

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Ӝ໺ଞ (2012) • ୳ࡧΛ໨తͱ͢Δݚڀ͕ଟ͍ • ಛʹΞϯέʔτௐࠪΛத৺ͱͨ͠ྔతݚڀ ͕໨ཱͭ • ٯʹԾઆݕূΛ໨తͱ͢Δݚڀ͕গͳ͍ • ࣭తσʔλΛѻͬͨݚڀ͕গͳ͍

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Ӝ໺ଞ (2012) • ୳ࡧܕ͕ଟ͘ɺݕূܕ͕গͳ͍ • ݚڀ੒Ռͷू໿͕ਐ·ͳ͍͓ͦΕ • ݕূܕݚڀ͕૿͑Δ͜ͱ͕๬·͍͠ • ୳ࡧܕͦͷ΋ͷʹ໰୊͕͋ΔΘ͚Ͱ͸ͳ͍

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Ӝ໺ଞ (2012) • ͳͥ୳ࡧܕݚڀ͕ଟ͍ͷ͔ • ϖʔδ਺ͷ੍ݶ • ݕূՄೳͳԾઆܗ੒·ͰͷྲྀΕΛ࡞Εͳ͍ • ݚڀͷ࣭ͷ໰୊ • ઌߦݚڀͷ෼ੳ͕ෆे෼ • ʮͱΓ͋͑ͣσʔλΛूΊ·ͨ͠ʯతݚڀ

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Ӝ໺ଞ (2012) • ࣭తσʔλΛѻͬͨݚڀ͕গͳ͍ • ࣭తݚڀ๏͕ਁಁ͍ͯ͠ͳ͍Մೳੑ • ϖʔδ਺ͷ੍ݶ͕଍͔ͤʹͳ͍ͬͯΔՄೳੑ • ৹ࠪମ੍͕੔͍ͬͯͳ͍Մೳੑ

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Ӝ໺ଞ (2012) • ·ͱΊ • ద੾ͳݚڀख๏Λબ୒͢Δॏཁੑ • ݕূܕݚڀΛ૿΍͢ඞཁੑ • ࣭తݚڀΛ૿΍͢ඞཁੑ

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͜͜·Ͱͷ·ͱΊ

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͜͜·Ͱͷ·ͱΊ • ద੾ͳݚڀ՝୊ͷઃఆ • ݚڀ໨తʹ߹ͬͨσʔλऩूͱ෼ੳ

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ڭҭతࣔࠦ

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• ӳޠڭҭݚڀͰ͸ɺ࠷ޙʹʮڭҭతࣔࠦʯΛ ड़΂Δ͜ͱ͕ظ଴͞ΕΔ͜ͱ͕ଟ͍ • ୯Ұͷݚڀ͔ΒࣔࠦΛड़΂ͯ΋Α͍ͷ͔ ڭҭతࣔࠦ

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• ྔతݚڀ • ҰൠԽՄೳੑ͕୲อ͞Ε͍ͯͳ͍৔߹ɺ  ຊདྷͳΒݚڀ݁Ռ͸ҰൠԽͰ͖ͳ͍ • ಉ͜͡ͱΛผͷจ຺Ͱߦͬͯ΋ɺ  ಉ݁͡Ռ͕ಘΒΕΔอূ͸ͳ͍ • ࠶ݱੑʢreproducibilityʣ໰୊ ڭҭతࣔࠦ

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• ࠶ݱੑʢreproducibilityʣ·ͨ͸࠶ݱՄೳੑ ʢreplicabilityʣ໰୊ • ৺ཧֶ෼໺Ͱେن໛ʹߦͬͨ௥ࢼݚڀͰɺ ಉ݁͡Ռ͕࠶ݱ͞Εͨͷ͸4ׂҎԼͩͬͨ ʢ೔ຊࣾձ৺ཧֶձ޿ใҕһձ, 2016ʣ • ӳޠڭҭ෼໺Ͱ͸Ͳ͏͔ʢߟ͑ͨ͘ͳ͍ʣ ڭҭతࣔࠦ

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• ࣭తݚڀ • ݚڀ݁Ռ͕จ຺ʹґଘ͢ΔͨΊɺ  ͦ΋ͦ΋ҰൠԽ͸ߦΘͳ͍ • ް͍هड़Λߦ͏͜ͱͰɺݚڀ݁Ռ͕ผͷ  จ຺Ͱ΋౰ͯ͸·Δ͔Ͳ͏͔ͷ൑அΛ  ಡऀʹҕͶΔ ڭҭతࣔࠦ

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• ӳޠڭҭݚڀʹ͓͍ͯɺ୯Ұͷݚڀ͔Β  ա౓ͳҰൠԽʢڭҭతࣔࠦʣΛߦ͏ͷ͸  ෆద੾ • Ͱ͸Ͳ͏͢Δʁ ڭҭతࣔࠦ

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• ݚڀͷݶքΛਅ伨ʹड͚ࢭΊɺڭҭతࣔࠦ͸ Ͱ͖Δ͚ͩ conservative ͳ΋ͷʹཹΊΔ • େ͖ͳڭҭతࣔࠦ͸ɺݸʑͷݚڀͰ͸ͳ͘ɺ ෳ਺ͷؔ࿈ݚڀͷ݁ՌΛ·ͱΊͨܗͰߦ͏ • ݚڀͷ౷߹ʢresearch synthesisʣͱ  ϝλ෼ੳʢmeta-analysisʣ • ௥ࢼʢreplicationʣͷॏཁੑ ڭҭతࣔࠦ

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• ౷߹ɾ௥ࢼʹ଱͑͏ΔݚڀΛߦ͏͜ͱ͕ॏཁ • ݚڀՁ஋ͷߴ͍ςʔϚ • ௥ࢼΛߦ͏ͨΊͷ৘ใ։ࣔ • هड़౷ܭྔͷ։ࣔ • ʢͰ͖Ε͹ʣແ࡞ҝׂ෇ͷσβΠϯ ڭҭతࣔࠦ

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• ͸͡Ίͯͷӳޠڭҭݚڀɿ  ԡ͓͖͍͑ͯͨ͞ίπͱ  ϙΠϯτʢݚڀࣾʣ • ݚڀͷํ๏࿦ʹ͍ͭͯɺଟ͘ ͷ࣮ྫΛ঺հ͠ͳ͕Βղઆ͠ ͍ͯ·͢ ओͳࢀߟจݙ

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• ֎ࠃޠڭҭݚڀϋϯυϒοΫ • ࣭తɾྔతݚڀͷ྆ํʹ͍ͭ ͯஸೡʹղઆ͞Ε͍ͯ·͢ ओͳࢀߟจݙ

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શମͷ·ͱΊ

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શମͷ·ͱΊ • ࣮ફͱͯ͠ͷݚڀͱֶज़తͳݚڀ • ݚڀͷ̏ཁૉʢݚڀ՝୊ɺσʔλɺղऍʣ • ͜Ε·Ͱͷݚڀͷ֓؍ • ҰൠԽͱڭҭతࣔࠦͷ೉͠͞ • ݚڀͷ஝ੵͷॏཁੑ Ken Urano urano@hgu.jp http://www.urano-ken.com/research/jacethokkaido2018

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• ౻ా୎࿠. (2016). ΑΓΑ͍࣮ફݚڀΛߦ͏ͨΊͷ10ͷϙΠϯτ. ୈ46ճத෦஍۠ӳޠڭҭֶձࡾॏେձɾӳޠڭҭݚ 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৺ཧֶձ޿ใҕһձ. (2016). ৺ཧֶݚڀͷ࠶ݱੑʹؔ͢Δ࿦૪. 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 ࣾ. • Ӝ໺ݚɾञҪӳथɾ∁໦ѥرࢠɾాத෢෉ɾ౻ా୎࿠ɾຊాউٱɾ࿱ཧཅҰ. (2012). ӳޠڭҭݚڀ๏ͷաڈɾݱࡏɾ ະདྷ. ୈ42ճத෦஍۠ӳޠڭҭֶձذෞେձɾ՝୊ผݚڀϓϩδΣΫτ. • Ӝ໺ݚɾ࿱ཧཅҰɾాத෢෉ɾ౻ా୎࿠ɾ∁໦ѥرࢠɾञҪӳथ. (2016). ʰ͸͡Ίͯͷӳޠڭҭݚڀ: ԡ͓͖͑ͯ͞ ͍ͨίπͱϙΠϯτʱ౦ژ: ݚڀࣾ. • ٢ాୡ߂ɾۄҪ݈ɾԣߔਈҰ࿠ɾࠓҪ༟೭ɾ༄੉ཅհ (ฤ). (2009). ʰϦϑϨΫςΟϒͳӳޠڭҭΛ໨ࢦͯ͠: ڭࢣͷ ޠΓ͕୓͘तۀݚڀʱ౦ژ: ͻͭ͡ॻ๪. Ҿ༻จݙ