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º» ¿¬±¸´Â ´ëÇлýÀÌ Áö°¢ÇÑ ÀÚ±âÅëÁ¦·Â°ú ½º¸¶Æ®Æù Áßµ¶, ÇнÀ¸ôÀÔ °£ÀÇ »ó°ü°è¼ö¸¦ »ìÆì º¸°í, ÀÚ±âÅëÁ¦·ÂÀÌ ½º¸¶Æ®Æù Áßµ¶¿¡ ¿µÇâÀ» ¹ÌÄ¡´ÂÁö ±×¸®°í ÀÌ °úÁ¤¿¡¼­ ÇнÀ¸ôÀÔÀÌ ¸Å°³ ÇÏ´ÂÁö °ËÁõÇϰíÀÚ ÇÑ´Ù. À̸¦ À§ÇØ ÃæÃ»Áö¿ª¿¡ ¼ÒÀçÇÑ ´ëÇлý 217¸íÀ» ´ë»óÀ¸·Î ÀÚ±âÅëÁ¦ ·Â, ½º¸¶Æ®Æù Áßµ¶, ÇнÀ¸ôÀÔÀÇ Ã´µµ¸¦ »ç¿ëÇÏ¿© SPSS 22.0°ú IBM AMOS 22.0 ÇÁ·Î±×·¥À» ÀÌ¿ëÇÏ¿´´Ù. ¿¬±¸ÀÇ °á°ú´Â ù°, ÀÚ±âÅëÁ¦·Â, ½º¸¶Æ®Æù Áßµ¶, ÇнÀ¸ôÀÔÀÇ ÇÏÀ§ º¯ÀÎµé °£¿¡ ´Â À¯ÀÇÇÑ »ó°üÀÌ ÀÖ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. µÑ°, ÀÚ±âÅëÁ¦·Â°ú ½º¸¶Æ®Æù Áßµ¶ °£ÀÇ °ü°è¿¡¼­ ÇнÀ¸ôÀÔÀÇ ¸Å°³È¿°ú°¡ ³ªÅ¸³ª´ÂÁö »ìÆìº¸±â À§ÇØ °øºÐ»ê ±¸Á¶ºÐ¼®À» ½Ç½ÃÇÏ¿´´Ù. ÀÌ¿¡ ÀÚ±â ÅëÁ¦·Â, ½º¸¶Æ®Æù Áßµ¶, ÇнÀ¸ôÀÔÀÇ º¯ÀÎµé °£ÀÇ ±¸Á¶¸ðÇüÀº ÀûÇÕÇÑ °ÍÀ¸·Î ³ªÅ¸³µÀ¸¸ç, ÀÚ±â ÅëÁ¦·ÂÀÌ ½º¸¶Æ®Æù Áßµ¶¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ÇнÀ¸ôÀÔÀÌ ¸Å°³ÇÏ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ±×·¯¹Ç·Î º» ¿¬±¸ÀÇ °á°ú·ÎºÎÅÍ µµÃâµÇ´Â ±³À°Àû ½Ã»çÁ¡°ú Èļӿ¬±¸¿¡ ´ëÇÑ Á¦¾ðÀ» Á¦½ÃÇÏ¿´´Ù.

This study aimed to examine the correlations among self-control, smartphone addiction, and learning flow as perceived by college students, and to determine whether self-control influences smartphone addiction and whether learning flow mediates this relationship. To this end, data collected from university students in the Chungcheong region of South Korea were analyzed using SPSS 22.0 and IBM AMOS 22.0. The results were as follows. First, significant correlations were found among the variables of self-control, smartphone addiction, and learning flow. Second, structural equation modeling (SEM) indicated that the proposed model demonstrated a good fit, and that learning flow significantly mediated the relationship between self-control and smartphone addiction. Finally, based on these findings, educational implications and suggestions for future research were discussed.



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College students, Self-control, Smartphone addiction, Learning flow, Mediating effects