名古屋学院大学大学院2019年度英語セミナー 名古屋学院大学丸の内サテライト 2019.12.21.
ӳޠڭҭݚڀͷ࢝ΊํɾਐΊํతʹ߹கͨ͠ख๏બͷॏཁੑӜ ݚʢେֶӃӳޠֶઐ߈٬һڭतʗւֶԂେֶʣemail: [email protected]໊ݹֶӃେֶେֶӃ2019ӳޠηϛφʔ໊ݹֶӃେֶؙͷαςϥΠτɹɹ2019.12.21.https://www.urano-ken.com/research/NGUSeminar
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͡Ίʹ• ͡Ίͯͷӳޠڭҭݚڀɿԡ͓͖͍͑ͯͨ͞ίπͱϙΠϯτʢݚڀࣾʣ• ຊॻͷ༰ʹ৮ΕͭͭɺຊॻʹؚΊΔ͜ͱͷͰ͖ͳ͔ͬͨ͜ͱ͓͠͠·͢ݚڀ
͡ΊʹʮݚڀʯͱԿ͔ݚڀ
ݚڀʢresearchʣͱResearch is a systematic process of inquiryconsisting of three elements orcomponents:a. a question, problem, or hypothesisb. data, andc. analysis and interpretation of data(Nunan, 1992, p. 3)questiondatainterpretation
question data interpretation→ →ݚڀʢresearchʣͱsystematic
ݚڀ՝ σʔλ ղऍ→ →ݚڀʢresearchʣͱϧʔϧʢํ๏ʣ
ݚڀʢresearchʣͱ• ݚڀͱɺݚڀ՝ʢ͍ʣΛઃఆ͠ɺࠜڌͱͳΔσʔλΛूΊɺͦͷ͑Λಋ͖ग़͢ӦΈ• ্هͷ̏ཁૉͦΕͧΕʹ͍ͭͯҰఆͷଋ͝ͱ͕͋Δ
ݚڀͷతʢgoalʣ• ݚڀՌΛͲ͜ʹؐݩ͢Δ͔• ڭࢣʢݚڀऀʣݸਓ• ӳޠڭҭʢݚڀʣશମ
ݚڀͷతʢgoalʣ• ڭࢣݸਓͷؐݩΛࢦ͢• ࣮ફͱͯ͠ͷݚڀʢpractitioner researchʣ• શମͷؐݩΛࢦ͢• ֶज़తͳݚڀʢacademic researchʣ
ݚڀͷతʢgoalʣ• ࣮ફͱͯ͠ͷݚڀͷత• ࣗͷੜెͨͪʹ͍ͭͯͷཧղΛਂΊɺ࣮ફ্ͷΛղܾ͢Δ• ڭࢣͱͯ͠ͷ
ݚڀͷతʢgoalʣ• ྫɿ• ࢼߦࡨޡͷ݁Ռɺࣗͷतۀ͕͏·͍͘͘Α͏ʹͳͬͨ• ੜె͕ΔؾΛݟͤΔΑ͏ʹͳͬͨ• ࣗͷ୲Ϋϥεͷ্͕͕ͬͨ
ݚڀͷతʢgoalʣ• ֶज़తͳݚڀͷత• ӳޠڭҭʢݚڀʣશମΛҰาલʹਐΊΔͨΊͷߩݙ• ࣗͷΫϥεҎ֎Ͱཱͭݟ• ଞͷจ຺Ͱͯ·Δݟ
ݚڀͷతʢgoalʣ• ࣮ફͱͯ͠ͷݚڀͱֶज़తͳݚڀ• ༏ྼͳ͍• త͕ҟͳΓɺํ๏͕ҟͳΔ
࣮ફͱͯ͠ͷݚڀ• ϦϑϨΫςΟϒͳӳޠڭҭΛࢦͯ͠ɿڭࢣͷޠΓ͕͘तۀݚڀʢͻͭ͡ॻʣ• ࣮ફͱͯ͠ͷݚڀͷํ๏ࣄྫΛऩݚڀ
࣮ફͱͯ͠ͷݚڀ• ӳޠڭࢣͷͨΊͷ࣮ફݚڀΨΠυϒοΫʢେमؗॻళʣ• ڭҭ࣮ફΛݚڀͷܗʹ·ͱΊΔͨΊͷࢦೆॻݚڀ
ֶज़తͳݚڀݚڀ• ݚڀՌΛશମʹؐݩ͢ΔͨΊʹ• ࣗͷݚڀͱଞͷݚڀʢઌߦݚڀʣͱͷؔΛ໌֬ʹࣔ͢• ݚڀ݁Ռ͕ଞͷจ຺ʹస༻ʢԠ༻ʣՄೳʹͳΔͨΊͷखଓ͖Λ౿Ή
ݚڀͷ̏ཁૉݚڀ՝ σʔλ ղऍʢ͑ʣ
ݚڀ՝ͷઃఆํ๏1. ͓ΑͦͷݚڀςʔϚΛܾΊΔ2. ڵຯɾؔ৺ɺݚڀՁɺ࣮ߦՄೳੑΛݕ౼͢Δ3. ؔ࿈͢ΔݚڀʢઌߦݚڀʣΛूΊɺಡΈɺ·ͱΊΔݚڀ՝
ݚڀ՝ͷઃఆํ๏• ڵຯɾؔ৺• Γ͍ͨ͜ͱ• ݚڀՁ• Δ͖͜ͱɺٻΊΒΕ͍ͯΔ͜ͱ• ࣮ߦՄೳੑ• ΕΔ͜ͱ
ݚڀ՝ͷઃఆํ๏• ઌߦݚڀͷ·ͱΊ1. ݚڀςʔϚ͕ͲͷΑ͏ͳΓޱͰѻΘΕ͖͔ͯͨ2. Կ͕ௐࠪ͞ΕɺԿ͕໌͠ɺԿ͕Θ͔͍ͬͯͳ͍͔3. ཧతܽؕɺํ๏తͳ͍͔
ݚڀ՝ͷઃఆํ๏• Α͍ݚڀ՝• ઌߦݚڀͰॏཁͩͱࢦఠ͞Ε͍ͯΔͷʹेௐࠪ͞Ε͍ͯͳ͍ͷ• ઌߦݚڀʹ͕͋ΓɺͦΕΛղܾ͢Δͷ
ݚڀͷछྨछྨ Ξϓϩʔν త ୳ࡧʗݕূจݙݚڀ 1. ઌߦݚڀΛཧ͠༰Λݕ౼͢Δ࣮ূݚڀ࣭తݚڀ1. จ຺Λߟྀͯ͠ࣄΛଊ͑Δ ୳ࡧܕݕূܕ2. จ຺Λߟྀͯ͠ࢀՃऀͷม༰Λଊ͑Δ3. ࢀՃऀͷܦݧೝࣝΛଊ͑Δ4. ઌߦݚڀͷର֎ͷࣄΛ໌Β͔ʹ͢Δ5. ݚڀͷ৴ጪੑΛߴΊΔྔతݚڀ1. ࣄͷಛΛྔతʹهड़͢Δ2. ࣄͷؔ࿈ੑΛଊ͑Δ3. ࣄͷࠩҟҼՌؔΛଊ͑ΔӜଞʢ2016, p. 8ʣ
୳ࡧͱݕূ• ୳ࡧܕͷݚڀ• ઌߦݚڀ͕ੵ͞Ε͍ͯͳ͍ςʔϚ• ؍ฉ͖औΓͳͲʹΑΓஸೡʹσʔλΛऩू͠ɺͦͷத͔ΒԿΒ͔ͷํੑΛݟग़͢͜ͱΛࢦ͢
୳ࡧͱݕূ• ݕূܕͷݚڀ• ઌߦݚڀ͕ੵ͞Εɺ݁Ռʹ͍ͭͯ͋Δఔ༧ଌͷཱͯΒΕΔςʔϚ• ʮԾઆʯΛઃఆͯͦ͠ΕΛݕূ͢Δ
σʔλͱղऍ• ݚڀ՝ʹ߹ͬͨσʔλΛूΊΔ• σʔλͷछྨʹ߹ͬͨੳɾղऍΛߦ͏
σʔλऩू๏• ࣄྫݚڀʢcase studyʣ• ؍ฉ͖औΓʹΑΓਂ͘ௐࠪ͢Δ• ௐࠪݚڀʢsurvey studyʣ• հೖΛߦΘͣʹσʔλΛऩू͢Δ• ࣮ݧݚڀʢexperimental studyʣ• հೖΛߦ͍ͳ͕ΒσʔλΛऩू͢Δ
ੳɾղऍ• σʔλੳͱɺूΊͨσʔλΛղऍՄೳͳܗʹཁ͢Δ͜ͱ• σʔλͷछྨʹΑͬͯཁํ๏͕ҟͳΔ
σʔλͷछྨ• ࣭తσʔλ• ϑΟʔϧυɾϊʔπΠϯλϏϡʔͷจࣈى͜͠ͳͲɺԽΛΘͳ͍ʢݴޠʣσʔλ• ྔతσʔλ• ௐࠪରΛʹΑͬͯදͨ͠σʔλ
σʔλͷཁ• ࣭తΞϓϩʔν• ࣭తσʔλΛҙຯతʹཁ͢Δ• ྔతΞϓϩʔν• ྔతσʔλΛ౷ܭతʹཁ͢Δ
࣭తΞϓϩʔν• σʔλੳͱղऍ• ੳͱղऍΛߦ͖དྷ͢Δ• ίʔσΟϯάͱΧςΰϦʔԽ• จ຺ͷॏࢹͱް͍هड़ʢthick descriptionʣ• స༻Մೳੑʢtransferabilityʣ
࣭తΞϓϩʔν• σʔλऩू๏ɺੳ๏ͱʹଟ༷• ํ๏ͷཧղʹɺ࣮ࡍͷݚڀʹଟ͘৮ΕΔ͜ͱ͕ඞཁ• Ӝଞʢ2016ʣͷୈ5ষΛࢀরʢݚڀࣄྫؚΊͨղઆ͕͋Δʣ
ྔతΞϓϩʔν• σʔλੳ• هड़౷ܭͱਪଌ౷ܭ• ແ࡞ҝநग़ɺແ࡞ҝׂͷॏཁੑ
• ͷલͷσʔλʢඪຊʣ͔ΒΑΓେ͖ͳจ຺ʢूஂʣΛਪఆ͢Δ• ඪຊͰ؍͞ΕΔࠩɾ͕ؔɺूஂ͔Βͷඪຊநग़࣌ͷޡࠩͰੜ͡Δ֬ʢp ʣΛܭࢉ͢Δ• p ͕ج४ʢྟքʣҎԼͰ͋Εʮ༗ҙʯͰ͋ΔʢޡࠩͰͳ͍ʣͱஅ͢Δਪଌ౷ܭʢ༗ҙੑݕఆʣ
ूஂ ඪɹຊਪఆσʔλղੳΣ, F, t, p...ूஂͱඪຊ
• ແ࡞ҝநग़ʢrandom samplingʣ• ඪຊ͔ΒूஂΛਪଌ͢Δ͜ͱ͕Մೳͳͷɺແ࡞ҝநग़ͷ͓͔͛• ແ࡞ҝׂʢrandom assignmentʣ• ෳͷάϧʔϓΛ࡞Δͱ͖ɺແ࡞ҝׂʹΑͬͯάϧʔϓؒͷ࣭ੑΛ୲อ͢Δແ࡞ҝநग़ɾແ࡞ҝׂ
• • ӳޠڭҭʹ͓͚Δྔతݚڀͷେɺແ࡞ҝநग़Λߦ͍ͬͯͳ͍• ࣮ࡍͷΫϥεΛ͏४࣮ݧݚڀͰɺແ࡞ҝׂߦΘΕͳ͍ແ࡞ҝநग़ɾແ࡞ҝׂ
• ݚڀ݁ՌͷҰൠԽՄೳੑʢgeneralizabilityʣ͕୲อ͞Ε͍ͯͳ͍• ݚڀ݁ՌΛଞͷจ຺ʹస༻ʢԠ༻ʣՄೳʹ͢Δͱ͍͏ɺֶज़తͳݚڀͷେલఏ͕ຬͨ͞Ε͍ͯͳ͍ແ࡞ҝநग़ɾແ࡞ҝׂ
͜͜·Ͱͷ·ͱΊ
͜͜·Ͱͷ·ͱΊ• ݚڀՌͷݸਓͷؐݩΛతͱ࣮ͨ͠ફͱͯ͠ͷݚڀ• ݚڀՌͷҰൠԽΛతͱֶͨ͠ज़తͳݚڀ
͜͜·Ͱͷ·ͱΊ• ֶज़తͳݚڀͷ̎ͭͷύϥμΠϜ• ྔతΞϓϩʔνʢ͘ຬวͳ͘୳Δʣ• ౷ܭతཁɿҰൠԽՄೳੑ• ࣭తΞϓϩʔνʢਂ͘ࡉີʹ୳Δʣ• ҙຯతཁɿస༻Մೳੑ
ຊͷӳޠڭҭݚڀ
ຊͷӳޠڭҭݚڀ͜Ε·ͰԿΛߦ͖͔ͬͯͨຊͷӳޠڭҭݚڀ
શࠃӳޠڭҭֶձʢJASELEʣͷ߹Mizumoto, Urano, and Maeda (2014)ຊͷӳޠڭҭݚڀ
Mizumoto et al. (2014)• શࠃӳޠڭҭֶձلཁ ARELE ͷୈ1ʙ24߸ʹऩ͞Εͨશจ473ຊͷ͏ͪΦϯϥΠϯͰެ։͞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)• ݚڀͷछྨʢ࣮ূɾௐࠪɾ࣮ફɾཧʣ• ݚڀͷతʢ୳ࡧɾݕূʣ• Ξϓϩʔνʢྔɾ࣭ɾࠞ߹ʣ• հೖʢ༗ɾແʣ
ཧݚڀ࣮ફใࠂௐࠪใࠂ࣮ূݚڀࢉ ߸߸
ͦͷଞݕূ୳ࡧࢉʢཧݚڀຊҎ֎ܭຊʣ ߸߸
ͦͷଞϛοΫε࣭ྔࢉʢཧݚڀຊҎ֎ܭຊʣ ߸߸
հೖͳ͠հೖ͋Γܝࡌຊ ߸߸
Mizumoto et al. (2014)• ·ͱΊ• ࣮ફใࠂ͕গͳ͍• ୳ࡧܕ͕ଟ͍ʢ͔͠૿͍͑ͯΔʣ• ࣭తΞϓϩʔν͕ͱͯগͳ͍• հೖݚڀগͳ͍͕૿͍͑ͯΔ
த෦۠ӳޠڭҭֶձʢCELESʣͷ߹Ӝଞ (2012)Ӝଞ (2012)
Ӝଞ (2012)• த෦۠ӳޠڭҭֶձلཁୈ36ʙ41߸ʹऩ͞Εͨશจͷ͏࣮ͪূݚڀ151ຊΛੳ
Ӝଞ (2012)• ݚڀͷతʢ୳ࡧɾݕূʣ• σʔλʢྔɾ࣭ʣ• ݚڀͷ݁ʢ୳ࡧɾݕূʣ
" ཧݚڀɺจݙݚڀର͔Β֎ͨ͠" ʻ࣮ફใࠂʼʹ͍ͭͯผ్ੳͨ͠ํ๏! ҎԼͷྨදʹج͍ͮͯݸʑͷจΛྨͨ͠! શମͷΛѲ͢Δ͜ͱ͕తͷͨΊɺΫϩενΣοΫͷ࡞ۀলུͨ͠λΠϓ త σʔλ ݁ ಛྫA ୳ࡧ ྔ ୳ࡧ Ξϯέʔτςετʹجͮ͘ύΠϩοτతݚڀB ୳ࡧ ྔ ݕূ֓೦ͷߏతɾૢ࡞తఆ͕ٛෆेʀԾઆ͕ෆ໌ྎͳͷʹྔతσʔλͰݕূΛͯ͠͠·͍ͬͯΔC ୳ࡧ ࣭ ୳ࡧ ΠϯλϏϡʔ؍ʹجͮ͘ɺهड़తݚڀD ୳ࡧ ࣭ ݕূ ͕݁ඈ༂͠ա͗ͷλΠϓͷݚڀE ݕূ ྔ ୳ࡧݕূͷͨΊͷσʔλ͕ෆे͔ɺ՝ͷߜΓࠐΈૢ࡞తఆ͕ٛेͰͳͯ͘ɺ୳ࡧʹऴΘͬͨλΠϓF ݕূ ྔ ݕূ యܕతͳԾઆݕূܕͷ࣮ূݚڀG ݕূ ࣭ ୳ࡧ E ͱಉ༷Ͱɺ࣭తσʔλΛओͱ͢ΔݚڀH ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚڀ݁Ռ6470
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚɽ݁Ռ(%) 42.4 6.6 11.3 1.3 2.0 27.2 1.3 0.0 7.96410172 3412 012010203040506070A B C D E F G H ͦͷଞ
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚɽ݁Ռ(%) 42.4 6.6 11.3 1.3 2.0 27.2 1.3 0.0 7.96410172 3412 012010203040506070A B C D E F G H ͦͷଞ61.6%
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚɽ݁Ռ(%) 42.4 6.6 11.3 1.3 2.0 27.2 1.3 0.0 7.96410172 3412 012010203040506070A B C D E F G H ͦͷଞ49.0%
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚɽ݁Ռ(%) 42.4 6.6 11.3 1.3 2.0 27.2 1.3 0.0 7.96410172 3412 012010203040506070A B C D E F G H ͦͷଞ30.5%
H ݕূ ࣭ ݕূ ϝλݴޠతهड़ςετߏԽ؍ʹجͮ͘ݚɽ݁Ռ(%) 42.4 6.6 11.3 1.3 2.0 27.2 1.3 0.0 7.96410172 3412 012010203040506070A B C D E F G H ͦͷଞ13.9%
Ӝଞ (2012)• ୳ࡧΛతͱ͢Δݚڀ͕ଟ͍• ಛʹΞϯέʔτௐࠪΛத৺ͱͨ͠ྔతݚڀཱ͕ͭ• 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• దͳݚڀ՝ͷઃఆ• ݚڀతʹ߹ͬͨσʔλऩूͱੳ
ڭҭతࣔࠦ
• ӳޠڭҭݚڀͰɺ࠷ޙʹʮڭҭతࣔࠦʯΛड़Δ͜ͱ͕ظ͞ΕΔ͜ͱ͕ଟ͍• ୯Ұͷݚڀ͔ΒࣔࠦΛड़ͯΑ͍ͷ͔ڭҭతࣔࠦ
• ྔతݚڀ• ҰൠԽՄೳੑ͕୲อ͞Ε͍ͯͳ͍߹ɺຊདྷͳΒݚڀ݁ՌҰൠԽͰ͖ͳ͍• ಉ͜͡ͱΛผͷจ຺Ͱߦͬͯɺಉ݁͡Ռ͕ಘΒΕΔอূͳ͍• ࠶ݱੑʢreproducibilityʣڭҭతࣔࠦ
• ࠶ݱੑʢreproducibilityʣ·ͨ࠶ݱՄೳੑʢreplicabilityʣ• ৺ཧֶͰେنʹߦͬͨࢼݚڀͰɺಉ݁͡Ռ͕࠶ݱ͞Εͨͷ4ׂҎԼͩͬͨʢຊࣾձ৺ཧֶձใҕһձ, 2016ʣ• ӳޠڭҭͰͲ͏͔ʢߟ͑ͨ͘ͳ͍ʣڭҭతࣔࠦ
• ࣭తݚڀ• ݚڀ݁Ռ͕จ຺ʹґଘ͢ΔͨΊɺͦͦҰൠԽߦΘͳ͍• ް͍هड़Λߦ͏͜ͱͰɺݚڀ݁Ռ͕ผͷจ຺Ͱͯ·Δ͔Ͳ͏͔ͷஅΛಡऀʹҕͶΔڭҭతࣔࠦ
• ӳޠڭҭݚڀʹ͓͍ͯɺ୯Ұͷݚڀ͔ΒաͳҰൠԽʢڭҭతࣔࠦʣΛߦ͏ͷෆద• ͰͲ͏͢Δʁڭҭతࣔࠦ
• ݚڀͷݶքΛਅ伨ʹड͚ࢭΊɺڭҭతࣔࠦͰ͖Δ͚ͩ conservative ͳͷʹཹΊΔ• େ͖ͳڭҭతࣔࠦɺݸʑͷݚڀͰͳ͘ɺෳͷؔ࿈ݚڀͷ݁ՌΛ·ͱΊͨܗͰߦ͏• ݚڀͷ౷߹ʢresearch synthesisʣͱϝλੳʢmeta-analysisʣ• ࢼʢreplicationʣͷॏཁੑڭҭతࣔࠦ
• ౷߹ɾࢼʹ͑͏ΔݚڀΛߦ͏͜ͱ͕ॏཁ• ݚڀՁͷߴ͍ςʔϚ• ࢼΛߦ͏ͨΊͷใ։ࣔ• هड़౷ܭྔͷ։ࣔ• ʢͰ͖Εʣແ࡞ҝׂͷσβΠϯڭҭతࣔࠦ
͜͜·Ͱͷ·ͱΊ• ݚڀՌͷݸਓͷؐݩΛతͱ࣮ͨ͠ફͱͯ͠ͷݚڀ• ݚڀՌͷҰൠԽΛతͱֶͨ͠ज़తͳݚڀ• ͨͩ͠୯Ұͷݚڀ͔ΒͷҰൠԽ͍͠
͜͜·Ͱͷ·ͱΊ• ֶज़తͳݚڀΛߦ͏ͷ͔ͳΓେม• ӳޠڭࢣݚڀΛߦ͏ඞཁ͕͋Δͷ͔
͜͜·Ͱͷ·ͱΊ• ඞཁͳ͍ɺ͚ͩͲ…• ֶज़తͳݚڀΛ͢Δڭࢣ͕૿͑Δ͜ͱ͕ݚڀͷੵʹͭͳ͕Γ• ͦͷ݁ՌϑΟʔϧυશମͷൃలʹߩݙͰ͖Δ
ݚڀҎ֎ͷબࢶ• ֶज़తݚڀΛߦ͏ͷ͍͠߹ɺ࣮ફతͳݚڀʹઓͯ͠ΈΔ• ͦΕ͍͠߹ɺʮݚڀʯߦΘͣʹ࣮ફͷهΛ͚ͭͯΈΔ• ୳ڀత࣮ફʢexploratory practiceʣ
୳ڀత࣮ફ• Allright (2003) ͕ఏএ• ղܾͰͳ͘ݱঢ়ཧղΛతͱͨ͠׆ಈ• ࣋ଓՄೳͳܗͰͷ׆ಈ• ࣮ફͷهड़ʢهʣͱͦΕʹ͍ͭͯͷলʢϦϑϨΫγϣϯʣͷه
୳ڀత࣮ફ• ʮݚڀʯͰͳ͍ͨΊൃදػձݶΒΕΔ• த෦۠ӳޠڭҭֶձʢCELESʣͰ࣮ફใࠂͱͯ͠ͷ୳ڀత࣮ફ͕ใࠂ͞Ε͍ͯΔ• ࠓޙଞֶձͰ૿͑Δ͜ͱΛظ
• ͡Ίͯͷӳޠڭҭݚڀɿԡ͓͖͍͑ͯͨ͞ίπͱϙΠϯτʢݚڀࣾʣ• ݚڀͷํ๏ʹ͍ͭͯɺଟ͘ͷ࣮ྫΛհ͠ͳ͕Βղઆ͍ͯ͠·͢ओͳࢀߟจݙ
• ֎ࠃޠڭҭݚڀϋϯυϒοΫ• ࣭తɾྔతݚڀͷ྆ํʹ͍ͭͯஸೡʹղઆ͞Ε͍ͯ·͢ओͳࢀߟจݙ
શମͷ·ͱΊ
શମͷ·ͱΊ• ࣮ફͱͯ͠ͷݚڀͱֶज़తͳݚڀ• ݚڀͷ̏ཁૉʢݚڀ՝ɺσʔλɺղऍʣ• ͜Ε·Ͱͷݚڀͷ֓؍• ҰൠԽͱڭҭతࣔࠦͷ͠͞• ݚڀͷੵͷॏཁੑ• ୳ڀత࣮ફͷՄೳੑ Ken Urano[email protected]https://www.urano-ken.com/research/NGUSeminar
• Allright, D. (2003). Exploratory Practice: rethinking practitioner research in language teaching. Language TeachingResearch, 7, 113–141. https://doi.org/10.1191/1362168803lr118oa• Mizumoto, A., Urano, K., & Maeda, H. (2014). A systematic review of published articles in ARELE 1–24 : Focusing ontheir 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: দദࣾ.• ాதɾ∁ѥرࢠɾ౻ాɾୌ༤ҰɾञҪӳथ. (2018). ʰӳޠڭࢣͷͨΊͷ࣮ફݚڀΨΠυϒοΫʱ౦ژ:େमؗॻళ.• ӜݚɾञҪӳथɾ∁ѥرࢠɾాதɾ౻ాɾຊాউٱɾཧཅҰ. (2012). ӳޠڭҭݚڀ๏ͷաڈɾݱࡏɾະདྷ. ୈ42ճத෦۠ӳޠڭҭֶձذෞେձɾ՝ผݚڀϓϩδΣΫτ.• ӜݚɾཧཅҰɾాதɾ౻ాɾ∁ѥرࢠɾञҪӳथ. (2016). ʰ͡Ίͯͷӳޠڭҭݚڀ: ԡ͓͖͍͑ͯͨ͞ίπͱϙΠϯτʱ౦ژ: ݚڀࣾ.• ٢ాୡ߂ɾۄҪ݈ɾԣߔਈҰɾࠓҪ༟೭ɾ༄ཅհ (ฤ). (2009). ʰϦϑϨΫςΟϒͳӳޠڭҭΛࢦͯ͠: ڭࢣͷޠΓ͕͘तۀݚڀʱ౦ژ: ͻͭ͡ॻ.Ҿ༻จݙ
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