Learning　style　is　the　endogenous　cause　of　students＇　unique　behaviors　when　they　are　performing　learning　tasks.　The　adaptive　learning　system　that　considers　learning　style　can　provide　a　personalized　experience　to　stimulate　students＇　enthusiasm,　which　had　been　widely　studied　in　recent　years.　However,　most　of　such　existing　systems　are　constructed　based　on　a　desktop　environment,　which　leads　to　the　less-than-ideal　effect　of　personalized　learning　due　to　the　limitation　of　interaction　means　and　environmental　dimension.　Therefore,　an　adaptive　virtual　reality　learning　method　based　on　the　learning　style　model　was　proposed　in　this　study.　This　method　continuously　iterated　the　identification　of　learning　style　based　on　students＇　subjective　and　objective　data.　Then,　the　content　of　virtual　learning　environment　was　sustainedly　adjusted　according　to　the　identification　results,　thus　enabling　the　environment　to　dynamically　adapt　to　students＇　learning　styles.　To　evaluate　the　feasibility　of　this　proposed　method,　a　controlled　experiment　on　152　participants　was　conducted.　Results　show　that　this　method　obtained　relatively　stable　and　accurate　results　of　learning　style　identification,　with　an　accuracy　range　of　74.38%-80.30%.　Moreover,　learning　in　the　virtual　environment　constructed　based　on　this　method　had　a　positive　impact　on　students＇　learning　motivation　and　outcomes.