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บทท 2 รวมเล_ม

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  • 1. 6 2551 2.2 2551 2551 : 228 - 243 8 2551 1. 1.1 - - -
  • 2. 7 1.2 1.3 1.4 2. 5 1 1.1
  • 3. 8 1.2 1.3 2 2.1 2.2 3 3.1 4 4.1 4.2
  • 4. 9 3. 6 3.1 3.2
  • 5. 10 3.3 3.4 3.5
  • 6. 11 3.6 / 3.7 3.8 3.9 - - - 3,600-3,750 3.10 4. 5
  • 7. 12 5 1.1 1. -Modal verb : should/ought to/ need/ have to/ must + verb without to infinitive You should have it after meal. (Active Voice)/ The does must be
  • 8. 13 divided. (Passive Voice) -Direct/Indirect Speech conjunction and/but/or/so/not only…but also/both…and/as well as/after/because etc. 1 (connective words) First,...Second,...Third,...F ourth,…Next,…Then,… Finally,…ect. 2. skit -
  • 9. 14 - -- -- 3. Comparison of adjective/adverb/Contrast : but, although, however, in spite of…/Logical connectives caused by/ followed by/consist of
  • 10. 15 etc. 4. skimming/scanning/guessing/co ntext clue I believe…/ I agree with… but…/ Well, I must say…/ What do you think of /about…?/I think/don’t think…?/ What’s
  • 11. 16 your opinion about…?/ In my opinion…/ - if clauses - so…that/such…that - too to…/enough to… - on the other hand,… - other s)/another/the other (s) - conjunctions because/and/so/but/ however/because of/due to/owing to etc. - Infinitive pronouns : some, any, someone, anyone, everyone, one, ones, etc. - Tenses : present simple/present continuous/ present perfect/past simple/future tense, etc. - Simple sentence/Compound sentence/Complex sentence
  • 12. 17 2 5 1. 1.2
  • 13. 18 2. 3. Please… …, please./ I’d like…/ I need…/ May/Can/Could…?/Woul d you please…?Yes,.. Please do. Certainly. Yes, of course. Sure. Need some help?/ What can I do to help?/ Would you like me to help you?/ If you need anything, please…/ Is there anything I can do?/ I’ll do it for you./ I’m afraid…/ I’m sorry, but… Sorry, but…etc. 4.
  • 14. 19 2 5. Nice. /Very nice. /Well done!
  • 15. 20 /Congratulations on… I like… because…/ I love… because…/ I feel… because…/I think…/I believe…/ I agree/disagree …/ I’m afraid I don’t like…/ I don’t believe…/I have no idea…/ Oh no! 3 5 1.3 etc.
  • 16. 21 1. 2. / 3 3.
  • 17. 22 4 5 2.1 1.
  • 18. 23 2. 3. / 5 5 2.2
  • 19. 24 1. 2. / 6 5 1. / 3.1 /
  • 20. 25 7 5 1. 8 4.1
  • 21. 26 5 4.2 1. 2. / 5.
  • 22. 27 2551 : 2324 5 240 46 360 1-6 60 6
  • 23. 28 .1-3 3 54 4-6 3 60 6. 2544 : 200 5
  • 24. 29 7. 5 2544 : 200 5 2 Unit 1 : Myself - Sports - Hobbies - Indoor Outdoor Game Unit 2 : Community - Role in Community Unit 3 : Personal Relationship - Personal Traits - Social Life Unit 4 : Environment - How to Preserve Environment Unit 5 : Occupation - Like and Dislike
  • 25. 30 - Hope - Future Career Unit 6 : Health - Measure and Weight - Hoe to Keep Fit Unit 7 : Travel - Places : Attractive Places - Entertainment Brochure - Shopping : Souvenir Market - Accommodation :Service, Food and Drink, Hotel, Home Stay Unit 8 : Science and Technology - Impacts 7. (2544 : 245253)
  • 26. 31 2 7. Holistic Rating Scales) 7.2 Scales) (Analytic Rating
  • 27. 32 4 7.3 (Pragmatic 7.4 (Linguistic Criteria) Criteria) 7.5 (Culture Criteria) 7.6 Criteria) (Strategic
  • 28. 33 1. Wingersky Boernerand Balogh.1995: 2 Graham and Perin.2007: 3 Shourafa. 2012 : 235
  • 29. 34 2. Myles. 2002 : 1 Graham and Perin.2007:9 Shourafa. 2012 : 235
  • 30. 35 3. Harmer. 2012: 128-133 -
  • 31. 36 - - - - - Brandvik andMcknight.2011 : 90
  • 32. 37 1. 2. 3. 4. 4. Brandvik and Mcknight. 2011: 93
  • 33. 38 1. 2. 3. 4.
  • 34. 39 Harmer.2010:117-120 1. “ My favorite relative is ……….” “I will never forget the time I ………” 3 2.
  • 35. 40 3.
  • 36. 41 4. 5. 6. 7.
  • 37. 42 8. Harmer.2012: 128133 1. A
  • 38. 43 Peter) B ally. B S C C at the swimming pool When he opened his eyes that morning, he did not know where he was. Everyone likes football. - -
  • 39. 44 WIKI TWITTER 2. Today the snow was really beautiful.I went down treered slops and one black one. -
  • 40. 45 3. - - round the corner he saw him. - - As he come
  • 41. 46 4. - - - - 5. -
  • 42. 47 - - 5 Ministry of Education,Ontario.2005 : 98-140 5.1 Rapid Writing
  • 43. 48 5.2 Setting the context 5.3 Adding content
  • 44. 49 5.4 Developing and Organization Ideas: Webbing, Mapping and More 5.5 Revising and Editing: Peer Edition
  • 45. 50 5.6 Writing for a purpose: using templates 6 McGraw-Hill. 2002 : 813 Holistic scoring Analytic scoring
  • 46. 51 3 1. 3 1.1 Holistic scoring 0-4,0-5, 0- 6 9 4 -
  • 47. 52 - - 9 4 - - -
  • 48. 53 1.2 Primarytraitscoring 1.3 Analytic scoring 0100 10 - -
  • 49. 54 ___ _/35 - ___ _/35 - - - ___ - _/30 2. Evaluation Informal
  • 50. 55 3. Evaluation 11 : 1-4 1 4 Portfolio
  • 51. 56 1. Ally. 2004 : 5 M-learning Clarke. 2008 : 18-19 PDAs MP
  • 52. 57 Blackberries Traxler. Website PDAs Clark.2013 : 144 ‘mlearning’ 7
  • 53. 58 MP3 - - - -
  • 54. 59 Ally. 2009 : 1) Sharma and Barrett.2007 : 90
  • 55. 60 Sha and others. 2011 : 12 Donalson.2011 :16 - - - -
  • 56. 61 - - 3. Donalson.2011 : 16 3 3.1
  • 57. 62 6 3.1.1 3.1.2 -
  • 58. 63 3.1.3 3.1.4 3.1.5 3.1.6 3.2
  • 59. 64 3.3 Sharma andBarrett. 2007 : 9091 CD-ROM
  • 60. 65 3 1. 2. 3. PDAs
  • 61. 66 4. Traxler. 2007 :Website 4.1 4.2 4.3 4.4 4.5
  • 62. 67 4.6 4.7 4.8 5. Clarke.2008:142-162 5.1Initial experience
  • 63. 68 5.2 Time management 5.3 Acceptance of responsibility 5.4 Selfassessment
  • 64. 69 5.5 Motivation 1. 2551 : 3 85/85 2) 1)
  • 65. 70 3) 1 30 t-test dependent sample 1. 10 1) 2) 3) 4) 5) 6) 7) 8) 9) 10) 2.
  • 66. 71 E1/E2) 86.12/85.75 85/85 3. 0 05 4. 2551 : m-learning m-learning Technology Acceptance Model (TAM) Davis (
  • 67. 72 Cross Tab contingency coefficient Chi-Square 2552 : m-learning mlearning m -learning TaroYamane)
  • 68. 73 t-test m-learning X= 0 m-learning X( = 0 m-learning F-test
  • 69. 74 m-learning m-learning 2. Donalson. 2011 : Abstract 330
  • 70. 75 Baldridgeand others. 2011 : Abstract 29 13
  • 71. 76 Gretchen. 2012 : Abstract 53

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