[TMG] the 2nd darft FYI:

Wed Jan 28 11:43:36 ICT 2009

à¨ÒÐÅÖ¡¢éÍÁÙÅ´éÒ¹¡ÒÃÈÖ¡ÉÒà¡ÕèÂÇ¡Ñº¡ÒÃàÃÕÂ¹¡ÒÃÊÍ¹ÇÔªÒ»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì ³ 
ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì
Data digestion on education system in learning and teaching animal 
breeding at Kasetsart University

ÊØ¾ÑµÃì ¿éÒÃØè§ÊÒ§1*
Supat Faarungsang1
1ÀÒ¤ÇÔªÒÊÑµÇºÒÅ ¤³Ð à¡ÉµÃ ¡Óá¾§áÊ¹ ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì  ¨. ¹¤Ã»°Á ÷óñôð
1Department of Animal Science, Faculty of Agriculture Kamphangsaen, 
Kasetsart University, Kamphangsaen, Nakhon Pathom 73140

*Corresponding authors: fagrspf at yahoo.com
_______________________________________________________________________________
º·¤Ñ´ÂèÍ
 	à¨ÒÐÅÖ¡¢éÍÁÙÅ ¡ÒÃàÃÕÂ¹¡ÒÃÊÍ¹ÇÔªÒ´éÒ¹¡ÒÃ»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì¢Í§ Á. 
à¡ÉµÃÈÒÊµÃì·ÕèÊÐÊÁÁÒ óñ »ÕµÑé§áµè ¾.È. òõòò ¶Ö§ ¾.È. òõõò à¾×èÍËÒµÑÇ¡ÓË¹´¢Í§ÇÔªÒ¹Õé 
áÅÐÇÔà¤ÃÒÐËìà¾×èÍá¡é»ÑËÒ´éÒ¹¡ÒÃÈÖ¡ÉÒã¹ÊÒ¢ÒÇÔªÒ¾Ñ¹¸ØÈÒÊµÃì

ABSTRACT
 	Thirty One years of accumulated data in learning and teaching 
animal breeding at Kasetsart university since 1979 up to 2009 were 
digested to find out the limiting factors and analyzed to solve education 
problems in genetics.

¤ÓÊÓ¤Ñ : à¨ÒÐÅÖ¡¢éÍÁÙÅ ¡ÒÃÈÖ¡ÉÒ »ÃÑº»ÃØ§¾Ñ¹¸ìÊÑµÇì µÑÇ¡ÓË¹´
Keywords: data digestion, education, animal breeding, limiting factor

º·¹Ó
 	ÃÐºº¡ÒÃÈÖ¡ÉÒ¾Ñ¹¸ØÈÒÊµÃìà»ç¹µÑÇ¡ÓË¹´ (limiting factor) (Faarungsang, 
2006)  ·ÕèÊÓ¤Ñã¹¤ÇÒÁÊÓàÃç¨´éÒ¹¹Õé »ÃÐ¡Íº ´éÇÂ ó â´àÁ¹ ¤×Í ¾Ø·¸Ô¾ÔÊÑÂ (cognitive 
domain) ¨Ôµ¾ÔÊÑÂ (affective domain) áÅÐ ·Ñ¡ÉÐ¾ÔÊÑÂ (psychomotor domain) 
(anonymous , 2009) ¡ÒÃÊÍ¹ÇÔªÒ»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì·Õè¼èÒ¹ÁÒÁÑ¡¨ÐäÁèÊÒÁÒÃ¶¤ÅÍº¤ÅØÁ·Ø¡â´àÁ¹ 
·ÓãËéà¡Ô´»ÑËÒµèÍ»ÃÐà·Èâ´Âà©¾ÒÐ´éÒ¹»ÈØÊÑµÇì ÀÒ¤ÇÔªÒÊÑµÇºÒÅ ¤³Ð à¡ÉµÃ ¡Óá¾§áÊ¹ 
ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì Í. ¡Óá¾§áÊ¹ ¨. ¹¤Ã»°Á ä´éàÅç§àËç¹»ÑËÒ´Ñ§¡ÅèÒÇ 
¨Ö§ä´éÃÔàÃÔèÁ§Ò¹ÇÔ¨ÑÂã¹ªÑé¹àÃÕÂ¹áÅÐâ¤Ã§¡ÒÃ¤ÅÑ§¢éÍÊÍº¢Öé¹ à¾×èÍ  ñ. ·ÓãËé¢éÍÊÍºáµèÅÐ¤ÃÑé§ÁÕ 
reliability ÊÙ§  ò.  ¡ÒÃÇÑ´¼Å¤ÃÍº¤ÅØÁ ·Ñé§ ó â´àÁ¹  ó. ÁÕ¤ÇÒÁà·ÕèÂ§¸ÃÃÁ áÅÐ â»Ãè§ãÊ 
¨Ø´»ÃÐÊ§¤ì¢Í§§Ò¹ÇÔ¨ÑÂ¹Õé ¤×Í ñ. à¨ÒÐÅÖ¡à¾×èÍÊ¡Ñ´µÑÇ¡ÓË¹´¢Í§ÇÔªÒ»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì  ò. 
ªèÇÂãËé§Ò¹ÇÔ¨ÑÂã¹ªÑé¹àÃÕÂ¹áÅÐâ¤Ã§¡ÒÃ¤ÅÑ§¢éÍÊÍº »ÃÐÊºÊÑÁÄ·¸Ô¼Å

ÍØ»¡Ã³ìáÅÐÇÔ¸Õ¡ÒÃ
 	¢éÍÁÙÅ¡ÒÃÈÖ¡ÉÒÇÔªÒ¹ÕéÁÕÍÂÙè¹Ò¹ÁÒáÅéÇáµè·Õèãªéà©¾ÒÐËÅÑ§ ¾.È. òõòñ 
à¾ÃÒÐ¢éÍÁÙÅ¡èÍ¹Ë¹éÒ¹Ñé¹äÁèÊÒÁÒÃ¶Â×¹ÂÑ¹¤ÇÒÁ¶Ù¡µéÍ§ä´é  ÊÃØ»¼Å¢éÍÁÙÅ  ¡ÒÃÊÍ¹ÇÔªÒ 
»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì ¢Í§ÀÒ¤ÇÔªÒÊÑµÇºÒÅ ¤³Ð à¡ÉµÃ ¡Óá¾§áÊ¹ ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì Í. 
¡Óá¾§áÊ¹ ¨. ¹¤Ã»°Áä´éáÊ´§äÇéã¹µÒÃÒ§·Õè ñ 
¢éÍÁÙÅ¨Ò¡ÇÔªÒÍ×è¹ä´é¹ÓÁÒ·´ÊÍº¼Å·Ò§Ê¶ÔµÔ´Ñ§ä´éáÊ´§äÇéã¹µÒÃÒ§·Õè ò 
áÅÐ¢éÍÁÙÅÃÐËÇèÒ§»Õä´é¹ÓÁÒ·´ÊÍº¼Å·Ò§Ê¶ÔµÔ´Ñ§ä´éáÊ´§äÇéã¹µÒÃÒ§·Õè ó

¡ÒÃÇÔà¤ÃÒÐËì¼Å
 	¢éÍÁÙÅ·Õèà¡çºÃÇºÃÇÁäÇé óð »Õ µÑé§áµè ¾.È. òõòò ¶Ö§ òõõò ä´é¹ÓÁÒÇÔà¤ÃÒÐËì ¤èÒ ÍÕñ 
(SAWAKE, 2008; Yamkasikon, 2009 áÅÐ ÀÒ¤ÇÔªÒ¹ÇÑµ¡ÃÃÁáÅÐà·¤â¹âÅÂÕ¡ÒÃÈÖ¡ÉÒ Á. 
ºÙÃ¾Ò, òõõò) áÊ´§äÇéã¹µÒÃÒ§·Õè ñ   ¤èÒºÒ§¤èÒ (ÀÒ¤ÇÔªÒÊÑµÇºÒÅ ¤³Ðà¡ÉµÃ ¡Óá¾§áÊ¹ Á. 
à¡ÉµÃÈÒÊµÃì, òõõò) ÁÕ¡ÒÃ·´ÊÍº¹ÑÂÊÓ¤Ñ·Ò§Ê¶ÔµÔáÊ´§äÇéã¹µÒÃÒ§·Õè ò áÅÐ ó 
ÍÓ¹Ò¨¨Óá¹¡(r) áÅÐ ¤ÇÒÁÂÒ¡¢Í§¢éÍÊÍº(p) áÊ´§äÇéã¹µÒÃÒ§·Õè ó ¤Ó¹Ç³´éÇÂâ»Ãá¡ÃÁ 
ÍÕÇÒ¹Ò (©ÑµÃÈÔÃÔ ,  òõõò)

¼Å¡ÒÃ·´ÅÍ§áÅÐÇÔ¨ÒÃ³ì
 	§Ò¹ÇÔ¨ÑÂ¹ÕéÁÔä´é·Ó¢Öé¹à¾×èÍ¢ÍÀÒÃÐ§Ò¹ ¢ÍµÓáË¹è§ ¢Í»ÃÔÒ 
ËÃ×Í¢ÍÊÔè§ã´æ·ÕèÍÒ¨à»ç¹»ÃÐâÂª¹ìµèÍµ¹àÍ§áµè·Ó¢Öé¹à¾×èÍ»ÃÐâÂª¹ì¢Í§ÊèÇ¹ÃÇÁâ´Âá·é µÑé§áµè¡èÍ¹ ¾.È. 
òõòù (Faarungsang, et al. 1986 ) ÁÕ§Ò¹ÇÔ¨ÑÂµèÍà¹×èÍ§¡Ñ¹ËÅÒÂàÃ×èÍ§·ÕèÁØè§»ÃÑº»ÃØ§¡ÒÃÊÍ¹ÇÔªÒ 
´éÒ¹»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì ¨¹¡ÃÐ·Ñè§ÊÃéÒ§ÃÐºº¡ÒÃÊÍ¹â´ÂÊÁºÙÃ³ìàÁ×èÍ ¾.È. òõóù áÅÐ¾ÔÁ¾ìà¼Âá¾Ãèã¹ 
Thai Technology Offer 1996. µèÍ¨Ò¡¹Ñé¹ä´éà¾ÔèÁÀÒ¤»¯ÔºÑµÔÇÔªÒ¹Õé´éÇÂâ»Ãá¡ÃÁ«ÔÁºÙÅµÑé§áµè ¾.È. 
òõóø (µÒÃÒ§·Õè ñ) 
´éÇÂµÃÐË¹Ñ¡ÇèÒÇÔªÒ´éÒ¹¹Õé¨Ð¢Ò´ÀÒ¤»¯ÔºÑµÔÁÔä´é»ÃÒ¡¯¼ÅÇèÒà»ç¹¨ÃÔ§´Ñ§¢éÍÁÙÅ·ÕèáÊ´§ã¹  µÒÃÒ§·Õè ñ
 	¡ÅÂØ·¸¡ÒÃÊÍ¹â´ÂãËé¹Ñ¡àÃÕÂ¹·Ó fine note ÁÒÊè§ àÁ×èÍ ¾.È. òõòõ (µÒÃÒ§·Õè ñ) 
à»ç¹ µÑÇ¡ÓË¹´ ÍÕ¡ÍÑ¹Ë¹Öè§·ÕèÊè§àÊÃÔÁãËé¹Ñ¡àÃÕÂ¹ÊÒÁÒÃ¶àÃÕÂ¹ÃÙéÇÔªÒ¹Õéä´é´Õ¢Öé¹ ¡ÅÂØ·¸¹Õéä´éÁÒ¨Ò¡ ´Ã. 
Á¹ÑÊ à·ÕÂ¹¢ÒÇ µÑé§áµè ¾.È. òõñ÷ ¡ÅÂØ·¸¹Õéä´é¼¹Ç¡¡Ñº ÍÕ-ÂÙ¹ÔàÇÍÃì«ÔµÕ (ÊØ¾ÑµÃì , òõôö áÅÐ ÊØ¾ÑµÃì 
áÅÐ ¨ÃÑ ,  òõô÷) áÅÐ Bayesian learning â´ÂÁÕ¢Ñé¹µÍ¹ºÑ§¤Ñºº¹àÇçº ´Ñ§¹Õé 
“¹Ñ¡àÃÕÂ¹µéÍ§àÃÕÂ¹ ÍÂèÒ§¹éÍÂ ô «éÓ «éÓ·Õè ñ ÍèÒ¹àÍÒàÃ×èÍ§ «éÓ·Õè ò ·ÓµÒÁ ¶Ö§¢Ñé¹ ÇÔà¤ÃÒÐËì áÅÐ 
ÊÑ§à¤ÃÒÐËì  «éÓ·Õèó ·Ó ºÅÍ¡  «éÓ·Õèô ·Ó ä¿¹ìâ¹µ ·Õè à ´ç¡ õ ¢Çº ÃÙéÇèÒ¹Ñ¡àÃÕÂ¹àÃÕÂ¹ÃÙéÍÐäÃ µéÍ§ 
ÃÐºØÇÑ¹·Õè àÇÅÒ áÅÐ äÍ¾Õ µÒÁ¤ÇÒÁ¨ÃÔ§“  (Faarungsang, 2003) ÇÔ¸Õ¹Õéãªé¡Ñº¹ÔÊÔµã¹»Õ òõô÷ 
»ÃÒ¡¯ÇèÒ¤èÒ ÍÕ ñ à¡Ô¹ ñðð % (µÒÃÒ§·Õè ñ)   ¡ÒÃºÑ§¤Ñº¤èÒ ÍÕ ñ/ÍÕ ò à»ç¹ ÷õ/÷õ  øð/øð 
ùð/ùð µÒÁ·Õè »ÃÒ¡¯ã¹àÍ¡ÊÒÃÁÒ¡ÁÒÂ ÍÒ·Ô ÀÒ¤ÇÔªÒ¹ÇÑµ¡ÃÃÁáÅÐà·¤â¹âÅÂÕ¡ÒÃÈÖ¡ÉÒ Á. 
ºÙÃ¾Ò, òõõò  ; SAWAKE, 2008 áÅÐYamkasikorn, 2009 à»ç¹ µÑÇ¡ÓË¹´ 
ÊÓ¤Ñ·ÕèºÑè¹·Í¹¹ÇÑµ¡ÃÃÁ ¡ÒÃàÃÕÂ¹ ¡ÒÃÊÍ¹   â´Â¸ÃÃÁªÒµÔ¢Í§ÇÔªÒÊ¶ÔµÔ¹Ñé¹ ¤Ðá¹¹ 
ÂèÍÁäÁèÁÕ¢Íºà¢µ¨Ó¡Ñ´ ÁÕáµèà¾ÕÂ§ parameter 2 µÑÇ ¤×Í mean áÅÐ variance à·èÒ¹Ñé¹·Õè¤Çº¤ØÁ 
ºØ¤¤ÅáÃ¡·Õèà¢éÒã¨¸ÃÃÁªÒµÔ¹Õéä´éá¡è ´Ã. ¹ÃÊÕËì µÃÐ¡ÙÅªèÒ§ áÅÐ ´Ã. ÊÁÈÑ¡´Ôì ÊØ¢Ç§Éì µÑé§áµè ¾.È. 
òõñ÷ ·ÕèÁÕ¡ÒÃãËéà¡Ã´  àÍºÇ¡ ã¹ËÅÒÂÇÔªÒ ¡ÒÃºÑ§¤Ñº¢éÍÁÙÅãËéÁÕ¤Ðá¹¹äÁèà¡Ô¹ ñðð 
à»ÍÃìà«¹µìÂèÍÁ¡èÍÍ¤µÔã¹¡ÒÃÇÔà¤ÃÒÐËì¢éÍÁÙÅ
 	¹Ñ¡ÇÔªÒ¡ÒÃ´éÒ¹¡ÒÃÈÖ¡ÉÒºÒ§¤¹¨ÐµÑ´¢éÍÊÍº·ÕèÁÕ¤èÒ  r ¹Í¡¢Íºà¢µ ð.ò ¶Ö§ ð.ø 
ÍÍ¡ä»·Ñé§·ÕèÍÒ¨ÁÕ¤èÒä´éµÑé§áµè -ñ.ð ¶Ö§ ñ.ð à»ç¹ µÑÇ¡ÓË¹´ÊÓ¤ÑÍÕ¡¢éÍË¹Öè§·ÕèºÑè¹·Í¹¹ÇÑµ¡ÃÃÁ 
¡ÒÃàÃÕÂ¹ ¡ÒÃÊÍ¹ ÍÑ¹·Õè¨ÃÔ§¢éÍÊÍº·Õè´Õ·ÕèÊØ´¤ÇÃÁÕ¤èÒ r=ñ.ðð ËÁÒÂ¶Ö§¼ÙéÁÕ¤ÇÒÁÃÙé·Ñé§ËÁ´µÍº¶Ù¡ 
áÅÐ¼ÙéäÁèÃÙé·Ñé§ËÁ´µÍº¼Ô´ áµèâ»Ãá¡ÃÁÍÕÇÒ¹Òä´éà»ÅÕèÂ¹¤èÒ r ¨Ò¡ ñ à»ç¹ ð.ùó ´Ñ§»ÃÒ¡¯ã¹µÒÃÒ§·Õè 
ó   ¢éÍÊÍººÒ§¢éÍ àªè¹·Õè¶ÒÁÇèÒ contemporary group ¤×ÍÍÐäÃ »ÃÒ¡¯ÇèÒÁÕ¤èÒ r=ð.ðð 
ÁÕ¤ÓµÍºÍÂÙè·Õè Northcutt and Buchanan; 2009 
ËÒ¡ÁÕÇÑµ¶Ø»ÃÐÊ§¤ìãËé¹ÔÊÔµà¡Ô´ÈÃÑ·¸Ò¤ÇÃµÑé§¤Ó¶ÒÁÍÂèÒ§·Õè»ÃÒ¡¯¤ÓµÍºÍÂÙè·Õè ÊØ¾ÑµÃì ; òõôð, 
Faarungsang; 1997, Faarungsang; 2001 áÅÐ Faarungsang; 2006 
¤Ó¶ÒÁ¹Õé¨ÐÁÕ¼ÙéµÍº¶Ù¡¶éÒ¶ÒÁÇèÒ¨Óà»ç¹ÍÂèÒ§äÃ·ÕèÊÑµÇì¡ÅØèÁË¹Öè§µéÍ§ÁÕÊÀÒÇÐºÒ§ÍÂèÒ§ÃèÇÁ¡Ñ¹ 
¹ÔÊÔµµÍº¤Ó¶ÒÁäÁèä´éÁÔä´éËÁÒÂ¶Ö§äÁèÁÕ¤ÇÒÁÃÙéáµèÍÒ¨ËÁÒÂ¶Ö§¤Ó¶ÒÁäÁè´Õ 
¼ÙéÇÔ¨ÑÂà¤ÂãËé¹ÔÊÔµµÍº¤Ó¶ÒÁà´ÔÁãËÁè¶Ö§ËéÒ¤ÃÑé§¨¹µÍºä´éã¹·ÕèÊØ´áÅÐä´éà¡Ã´ àÍºÇ¡
 	¤èÒÍÕñ ã¹µÒÃÒ§·Õè ñ 
ºÒ§¤èÒµèÓ¡ÇèÒ¡ÒÃÂÍÁÃÑºä´éã¹ÊÒ¢ÒÇÔªÒÈÖ¡ÉÒÈÒÊµÃìÁÔä´éá»ÅÇèÒ¡ÒÃÊÍ¹ÇÔªÒ´éÒ¹»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇìã¹ 
Á. à¡ÉµÃÈÒÊµÃì ÅéÁàËÅÇ·Ñé§ËÁ´ áµèËÁÒÂ¶Ö§¡ÒÃÂÖ´ÁÑè¹¶×ÍÁÑè¹·ÕèÁÕÍÂÙèÍÒ¨ÁÕ¤ÇÒÁ¼Ô´¾ÅÒ´

ÊÃØ»¼Å¡ÒÃ·´ÅÍ§
 	¼Å¡ÒÃÊÍºÇÔªÒ ´éÒ¹»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì ¡ÑºÇÔªÒ´éÒ¹¤ÇÒÁ»ÅÍ´ÀÑÂ¢Í§ÍÒËÒÃ ã¹»Õ òõõñ 
¢Í§ÀÒ¤ÇÔªÒÊÑµÇºÒÅ ¤³Ð à¡ÉµÃ ¡Óá¾§áÊ¹ ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì Í. ¡Óá¾§áÊ¹ ¨. 
¹¤Ã»°Ááµ¡µèÒ§¡Ñ¹ÍÂèÒ§ÁÕ¹ÑÂÊÓ¤ÑÂÔè§·Ò§Ê¶ÔµÔ ¼Å¡ÒÃÊÍºÇÔªÒ ´éÒ¹»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì  ã¹»Õ òõõñ¡Ñº»Õ 
òõô÷ áµ¡µèÒ§¡Ñ¹ÍÂèÒ§ÁÕ¹ÑÂÊÓ¤ÑÂÔè§·Ò§Ê¶ÔµÔ ¤èÒ ÍÕ ñ ÊèÇ¹ãËè¢Í§ ÇÔªÒ ´éÒ¹»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì 
µèÓ¡ÇèÒ¡ÒÃÂÍÁÃÑºä´é

¡ÔµµÔ¡ÃÃÁ»ÃÐ¡ÒÈ
 	§Ò¹ÇÔ¨ÑÂ¹Õéà»ç¹ÊèÇ¹Ë¹Öè§¢Í§â¤Ã§¡ÒÃÇÔ¨ÑÂã¹ªÑé¹àÃÕÂ¹ 
áÅÐ¤ÅÑ§¢éÍÊÍº·ÕèÃÔàÃÔèÁâ´ÂËÑÇË¹éÒÀÒ¤ÇÔªÒÊÑµÇºÒÅ  ¤³Ðà¡ÉµÃ ¡Óá¾§áÊ¹ 
ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì àÁ×èÍ ¾.È. òõõñ

àÍ¡ÊÒÃÍéÒ§ÍÔ§

¹ÅÔ¹Õ ÃØè§àÃ×Í§ÈÃÕ áÅÐ ÊØ¾ÑµÃì ¿éÒÃØè§ÊÒ§ òõôù. 
ÇÔ¸ÕáÅÐâ»Ãá¡ÃÁÊ¶ÔµÔºÒ§»ÃÐ¡ÒÃã¹¡ÒÃÈÖ¡ÉÒ»ÃÐÇÑµÔ¤ÇÒÁà»ç¹ÁÒ¢Í§¡ÅéÇÂä·Â. 
¡ÒÃ»ÃÐªØÁÇÔªÒ¡ÒÃÊ¶ÔµÔáÅÐÊ¶ÔµÔ»ÃÐÂØ¡µì»ÃÐ¨Ó»Õ òõôù âÃ§áÃÁÅÍ§ºÕª¡ÒÃìà´¹ ¨. ªÅºØÃÕ
ÀÒ¤ÇÔªÒ¹ÇÑµ¡ÃÃÁáÅÐà·¤â¹âÅÂÕ¡ÒÃÈÖ¡ÉÒ Á. ºÙÃ¾Ò. òõõò. º··Õè  ó ÇÔ¸Õ¡ÒÃ´Óà¹Ô¹¡ÒÃÇÔ¨ÑÂ. 
http://techno.edu.buu.ac.th/wkshop-webdesign/wdtest/49043480/30372.0.º··Õè 
3 .doc
ÀÒ¤ÇÔªÒÊÑµÇºÒÅ ¤³Ðà¡ÉµÃ ¡Óá¾§áÊ¹ Á. à¡ÉµÃÈÒÊµÃì. òõõò. 
ÊÃØ»¤Ðá¹¹¡ÒÃÊÍº¢éÍà¢ÕÂ¹ÇÑ´¤ÇÒÁÃÙé¾×é¹°Ò¹ÃÐ´ÑººÑ³±ÔµÈÖ¡ÉÒ.  ÃÒÂ§Ò¹¡ÒÃ»ÃÐªØÁ ÀÒ¤ÇÔªÒÊÑµÇºÒÅ 
¤³Ðà¡ÉµÃ ¡Óá¾§áÊ¹ Á. à¡ÉµÃÈÒÊµÃì ¤ÃÑé§·Õè ñ/òõõò ¨. ¹¤Ã»°Á.
©ÑµÃÈÔÃÔ »ÔÂÐ¾ÔÁÊÔ·¸Ôì òõõò.  ¡ÒÃÇÔà¤ÃÒÐËì¢éÍÊÍº´éÇÂâ»Ãá¡ÃÁ¤ÍÁ¾ÔÇàµÍÃì. 
http://www.watpon.com/Elearning/itemanalysis.pdf
ÊØ¾ÑµÃì ¿éÒÃØè§ÊÒ§ òõôð. 
¡ÒÃãªéàÅ¢°Ò¹ÊÒÁá¡é»ÑËÒË¹èÇÂ¤ÇÒÁ¨Ó¤ÍÁ¾ÔÇàµÍÃìã¹¡ÒÃ»ÃÐàÁÔ¹¤Ø³¤èÒ·Ò§¾Ñ¹¸Ø¡ÃÃÁáºº¡ÔºÊì 
¡ÒÃ»ÃÐªØÁÇÔªÒ¡ÒÃ¢Í§ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì ¤ÃÑé§·Õè óõ ó-õ ¡ØÁÀÒ¾Ñ¹¸ì 
òõôðÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì ÇÔ·ÂÒà¢µºÒ§à¢¹. ¡ÃØ§à·¾ Ï
ÊØ¾ÑµÃì ¿éÒÃØè§ÊÒ§  òõôö. ÃÐººÂÑè§Â×¹ã¹¡ÒÃÊÍ¹¾Ñ¹¸ØìÈÒÊµÃì  ·Ò§ÍÕ-ÂÙ¹ÔàÇÍÃì«ÔµÕ 
¡ÒÃ»ÃÐªØÁÇÔªÒ¡ÒÃ¾Ñ¹¸ØÈÒÊµÃì ¤ÃÑé§·Õè ñó òõôö ÁËÒÇÔ·ÂÒÅÑÂ¹àÃÈÇÃ ¨. ¾ÔÉ³ØâÅ¡
ÊØ¾ÑµÃì ¿éÒÃØè§ÊÒ§ áÅÐ ¨ÃÑ ¨Ñ¹·ÅÑ¡¢³Ò òõô÷.  ÃÐººÍÕ-ÂÙ¹ÔàÇÍÃì«ÔµÕé 
áºº¾Íà¾ÕÂ§áÅÐÂÑè§Â×¹à¾×èÍ¡ÒÃàÃÕÂ¹¡ÒÃÊÍ¹ÇÔªÒ»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì ¡ÒÃ»ÃÐªØÁ·Ò§ÇÔªÒ¡ÒÃ 
ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì ÇÔ·ÂÒà¢µ¡Óá¾§áÊ¹ ¤ÃÑé§·Õè ñ.  ÁËÒÇÔ·ÂÒÅÑÂà¡ÉµÃÈÒÊµÃì 
ÇÔ·ÂÒà¢µ¡Óá¾§áÊ¹. ¨. ¹¤Ã»°Á
Anonymous. 2009. Learning Domains or Bloom's Taxonomy:    The Three Types 
of Learning http://www.nwlink.com/~Donclark/hrd/bloom.html
Faarungsang,  S.;  S.  Chantsavang; and C. Chantalakhana. 1986. Computer 
as a tool for  solving  some  breeding  problems.  4.  Preliminary  study 
on  factor  analysis  in analysing animal  breeding data.   3rd World 
Congress  on   Genetics Applied to Livestock Production. 17-22 July,1986. 
Lincoln. Nebraska. USA.
Faarungsang, S. 1997. Convergence of Markov Chain Monte Carlo in genetic 
evaluation. 10th genetic conference 19-21 March, 1997. Chulalongklon 
university. Bangkok.
Faarungsang, S. 2001. The roles of computer system in animal breeding. 
12th genetic conference, 2001. Kasetsart university. Bangkok.
Faarungsang S. 2003. Sustainable system in genetics teaching by 
e-University.  http://e-university.supat.eu.org/animal_breeding/ 
Kasetsart Univ. Thailand.
Faarungsang, S. 2006. OLPC , a self-sufficient and sustainable system, for 
teaching and learning animal sciences classes. Proceedings of the 4th 
agricultural graduate conference “Advancing Agricultural Graduates Through 
Sufficiency Econonomy” December 25-26, 2006. Chiang Mai university, Chiang 
Mai.
Northcutt, S.L. and  D. S. Buchanan. 2009.  Expected Progeny Difference 
Part I, Background on Breeding Value Estimation. 
http://sfbfp.ifas.ufl.edu/1BGBVE.html
SAWAKE. 2008.  ¡ÒÃ·´ÅÍ§ãªéáÅÐËÒ»ÃÐÊÔ·¸ÔÀÒ¾ªØ´¡ÒÃÊÍ¹ 
http://inno-sawake.blogspot.com/2008/07/4.html
Yamkasikorn, M. 2009.  ¤ÇÒÁËÁÒÂ¢Í§ The 90/90 Standard. 
http://researchers.in.th/blog/academic.

µÒÃÒ§·Õè ñ. à¨ÒÐÅÖ¡¢éÍÁÙÅ¡ÒÃÊÍ¹ÇÔªÒ»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇìµÑé§áµè ¾.È. òõòò ¶Ö§ òõõò
       year                source              note            p (SSS) 
E1                  p (A)
1979-1981          BKK+KPS    traditional       0.25                 50-60 
0.01-0.05
1982                   KPS               fine note         1.00 
75-80             0.25
1983-1988          KPS               traditional       0.25 
50-60             0.01-0.05
1989-1994          KPS               traditional       0.00 
50-60             0.01-0.05
1995-2001          BKK+KPS    SIMBULL      0.50                60-70 
0.10-0.20
2002-2003          KPS               traditional       0.10 
50-60             0.01-0.05
2004                   BKK+KPS    SSS                 1.00 
110.00            1.00
2005                   KPS               half drop         0.10 
40-50             0.00
2006-2007          KPS               traditional       0.05 
30-40             0.00
2008                   KPS               external           0.00 
35.00             0.00
2009                   KPS               external           0.00 
31.25             0.00

µÒÃÒ§·Õè ò. ¼Å·´ÊÍº·Ò§Ê¶ÔµÔÃÐËÇèÒ§ÇÔªÒ»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì áÅÐ ÇÔªÒ¤ÇÒÁ»ÅÍ´ÀÑÂ¢Í§ÍÒËÒÃ
                                                Animal Breeding 
Food Safety
Average                                   31.25 
83.33**
S.D.                                            9.26 
1.67
MAX                                        48.75 
84.99
MIN                                          28.75 
81.66

µÒÃÒ§·Õè ó. ÍÓ¹Ò¨¨Óá¹¡(r) ÃÐ´Ñº¤ÇÒÁÂÒ¡(p) 
ÃÐËÇèÒ§ÇÔªÒ»ÃÑº»ÃØ§¾Ñ¹¸ØìÊÑµÇì·ÕèÁÕÍ§¤ì¤ÇÒÁÃÙéµèÒ§¡Ñ¹
                               SSS1 
External2
Average                 110 
35**
S.D.                       11.55 
9.26
question1               recessive gene detection (p=.5,r=.93) 
contemporary group(p=0,r=0)
question2               co-dominance                 (p=.5,r=.93)    C.V. 
(p=0,r=0)

1SSS ËÁÒÂ¶Ö§ Í§¤ì¤ÇÒÁÃÙé µÒÁá¹Ç àÈÃÉ°¡Ô¨áºº¾Íà¾ÕÂ§ ·Õè¹ÔÊÔµ¾Öè§¾Òµ¹àÍ§ä´é
2External ËÁÒÂ¶Ö§ 
ÊÃØ»¤Ðá¹¹¡ÒÃÊÍº¢éÍà¢ÕÂ¹ÇÑ´¤ÇÒÁÃÙé¾×é¹°Ò¹ÃÐ´ÑººÑ³±ÔµÈÖ¡ÉÒ¨Ò¡ÃÒÂ§Ò¹¡ÒÃ»ÃÐªØÁ ÀÒ¤ÇÔªÒÊÑµÇºÒÅ 
¤³Ðà¡ÉµÃ ¡Óá¾§áÊ¹ Á. à¡ÉµÃÈÒÊµÃì ¤ÃÑé§·Õè ñ/òõõò