iVOD / 158889

Field Value
IVOD_ID 158889
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158889
日期 2025-01-15
會議資料.會議代碼 委員會-11-2-35-26
會議資料.會議代碼:str 第11屆第2會期外交及國防委員會第26次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 26
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第2會期外交及國防委員會第26次全體委員會議
影片種類 Clip
開始時間 2025-01-15T10:48:00+08:00
結束時間 2025-01-15T10:55:29+08:00
影片長度 00:07:29
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/427ddbb1724b1d1ab8743ca342cb99ac038dfc690a7e1b064204766f4a2623bd91e55a3148b2c4485ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 10:48:00 - 10:55:29
會議時間 2025-01-15T09:00:00+08:00
會議名稱 立法院第11屆第2會期外交及國防委員會第26次全體委員會議(事由:邀請僑務委員會委員長報告「因應世界政經局勢變化,如何在總合外交政策中,串聯僑界,匯聚海外僑力,擴增友台力量,壯大我國經貿實力」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.76909375
transcript.pyannote[0].end 1.80284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 1.80284375
transcript.pyannote[1].end 2.00534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 2.00534375
transcript.pyannote[2].end 2.41034375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 3.15284375
transcript.pyannote[3].end 15.25221875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 10.45971875
transcript.pyannote[4].end 10.98284375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 14.29034375
transcript.pyannote[5].end 17.86784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 17.98596875
transcript.pyannote[6].end 18.37409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 18.37409375
transcript.pyannote[7].end 21.51284375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 20.16284375
transcript.pyannote[8].end 20.53409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 21.54659375
transcript.pyannote[9].end 33.15659375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 24.34784375
transcript.pyannote[10].end 24.82034375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 30.57471875
transcript.pyannote[11].end 30.91221875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 33.10596875
transcript.pyannote[12].end 33.44346875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 33.40971875
transcript.pyannote[13].end 36.58221875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 36.58221875
transcript.pyannote[14].end 41.93159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 38.50596875
transcript.pyannote[15].end 39.36659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 40.95284375
transcript.pyannote[16].end 51.63471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 51.48284375
transcript.pyannote[17].end 51.83721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 51.83721875
transcript.pyannote[18].end 54.46971875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 51.85409375
transcript.pyannote[19].end 51.92159375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 54.67221875
transcript.pyannote[20].end 74.17971875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 58.13159375
transcript.pyannote[21].end 58.18221875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 62.40096875
transcript.pyannote[22].end 62.72159375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 67.80096875
transcript.pyannote[23].end 68.13846875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 75.12471875
transcript.pyannote[24].end 79.27596875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 79.27596875
transcript.pyannote[25].end 79.61346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 79.54596875
transcript.pyannote[26].end 85.43534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 81.13221875
transcript.pyannote[27].end 82.31346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 85.73909375
transcript.pyannote[28].end 89.50221875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 89.18159375
transcript.pyannote[29].end 107.57534375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 90.10971875
transcript.pyannote[30].end 90.68346875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 94.00784375
transcript.pyannote[31].end 94.34534375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 99.32346875
transcript.pyannote[32].end 99.84659375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 106.63034375
transcript.pyannote[33].end 108.31784375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 108.13221875
transcript.pyannote[34].end 137.81534375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 109.12784375
transcript.pyannote[35].end 109.54971875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 115.91159375
transcript.pyannote[36].end 116.01284375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 123.47159375
transcript.pyannote[37].end 123.80909375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 136.58346875
transcript.pyannote[38].end 142.42221875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 140.97096875
transcript.pyannote[39].end 152.31096875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 144.90284375
transcript.pyannote[40].end 144.95346875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 152.31096875
transcript.pyannote[41].end 152.64846875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 152.64846875
transcript.pyannote[42].end 156.69846875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 156.69846875
transcript.pyannote[43].end 157.18784375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 157.18784375
transcript.pyannote[44].end 161.45721875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 159.28034375
transcript.pyannote[45].end 159.71909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 160.29284375
transcript.pyannote[46].end 162.36846875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 162.01409375
transcript.pyannote[47].end 164.00534375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 164.00534375
transcript.pyannote[48].end 165.32159375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 164.02221875
transcript.pyannote[49].end 164.27534375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 165.08534375
transcript.pyannote[50].end 168.00471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 167.70096875
transcript.pyannote[51].end 168.71346875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 168.66284375
transcript.pyannote[52].end 181.92659375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 181.92659375
transcript.pyannote[53].end 190.41471875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 185.33534375
transcript.pyannote[54].end 185.35221875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 188.22096875
transcript.pyannote[55].end 189.72284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 190.16159375
transcript.pyannote[56].end 209.70284375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 191.24159375
transcript.pyannote[57].end 192.03471875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 193.94159375
transcript.pyannote[58].end 194.83596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 195.54471875
transcript.pyannote[59].end 196.33784375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 203.67846875
transcript.pyannote[60].end 204.20159375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 207.64409375
transcript.pyannote[61].end 208.06596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 208.42034375
transcript.pyannote[62].end 229.44659375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 210.20909375
transcript.pyannote[63].end 210.54659375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 213.11159375
transcript.pyannote[64].end 214.03971875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 214.95096875
transcript.pyannote[65].end 215.37284375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 218.91659375
transcript.pyannote[66].end 218.96721875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 225.41346875
transcript.pyannote[67].end 226.18971875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 228.16409375
transcript.pyannote[68].end 229.64909375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 229.48034375
transcript.pyannote[69].end 229.56471875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 229.58159375
transcript.pyannote[70].end 236.09534375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 229.66596875
transcript.pyannote[71].end 230.12159375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 235.23471875
transcript.pyannote[72].end 247.57034375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 239.09909375
transcript.pyannote[73].end 239.33534375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 240.48284375
transcript.pyannote[74].end 240.71909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 247.90784375
transcript.pyannote[75].end 250.99596875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 250.69221875
transcript.pyannote[76].end 253.61159375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 251.77221875
transcript.pyannote[77].end 252.88596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 252.95346875
transcript.pyannote[78].end 275.68409375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 254.35409375
transcript.pyannote[79].end 255.48471875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 275.90346875
transcript.pyannote[80].end 280.07159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 279.07596875
transcript.pyannote[81].end 287.34471875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 280.12221875
transcript.pyannote[82].end 280.20659375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 281.20221875
transcript.pyannote[83].end 282.06284375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 282.38346875
transcript.pyannote[84].end 284.23971875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 287.39534375
transcript.pyannote[85].end 287.42909375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 287.42909375
transcript.pyannote[86].end 287.88471875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 288.39096875
transcript.pyannote[87].end 295.14096875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 290.83784375
transcript.pyannote[88].end 290.85471875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 292.12034375
transcript.pyannote[89].end 292.47471875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 292.62659375
transcript.pyannote[90].end 293.94284375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 294.90471875
transcript.pyannote[91].end 299.91659375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 295.93409375
transcript.pyannote[92].end 296.33909375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 297.55409375
transcript.pyannote[93].end 306.43034375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 301.13159375
transcript.pyannote[94].end 302.59971875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 302.68409375
transcript.pyannote[95].end 302.73471875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 304.87784375
transcript.pyannote[96].end 306.10971875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 306.58221875
transcript.pyannote[97].end 319.84596875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 313.77096875
transcript.pyannote[98].end 314.68221875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 319.62659375
transcript.pyannote[99].end 323.71034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 322.52909375
transcript.pyannote[100].end 359.92409375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 326.84909375
transcript.pyannote[101].end 327.18659375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 329.76846875
transcript.pyannote[102].end 333.39659375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 335.25284375
transcript.pyannote[103].end 335.57346875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 344.19659375
transcript.pyannote[104].end 344.63534375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 357.71346875
transcript.pyannote[105].end 362.42159375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 362.01659375
transcript.pyannote[106].end 366.10034375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 364.54784375
transcript.pyannote[107].end 364.90221875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 366.10034375
transcript.pyannote[108].end 374.14971875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 366.57284375
transcript.pyannote[109].end 367.14659375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 372.79971875
transcript.pyannote[110].end 376.54596875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 375.09471875
transcript.pyannote[111].end 377.11971875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 376.59659375
transcript.pyannote[112].end 391.64909375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 383.27909375
transcript.pyannote[113].end 384.02159375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 384.08909375
transcript.pyannote[114].end 385.72596875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 390.92346875
transcript.pyannote[115].end 390.94034375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 391.02471875
transcript.pyannote[116].end 396.88034375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 394.90596875
transcript.pyannote[117].end 420.23534375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 398.56784375
transcript.pyannote[118].end 399.91784375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 404.74409375
transcript.pyannote[119].end 406.34721875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 407.27534375
transcript.pyannote[120].end 407.46096875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 411.05534375
transcript.pyannote[121].end 414.61596875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 415.39221875
transcript.pyannote[122].end 415.84784375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 418.09221875
transcript.pyannote[123].end 421.56846875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 421.56846875
transcript.pyannote[124].end 431.03534375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 428.53784375
transcript.pyannote[125].end 435.10221875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 434.44409375
transcript.pyannote[126].end 438.54471875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 435.87846875
transcript.pyannote[127].end 436.68846875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 437.61659375
transcript.pyannote[128].end 439.47284375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 441.00846875
transcript.pyannote[129].end 442.45971875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 443.89409375
transcript.pyannote[130].end 444.72096875
transcript.whisperx[0].start 4.288
transcript.whisperx[0].end 17.316
transcript.whisperx[0].text 其實上次我有反應那個僑胞在海外他們要回來讀書的有遇到那個教育部跟僑友會窗口的問題我不知道委員長後來有沒有去解決這件事情有 我們昨天傍晚才跟教育部又再開會都在做橫向的協調
transcript.whisperx[1].start 21.738
transcript.whisperx[1].end 36.113
transcript.whisperx[1].text 對 因為很常有僑胞反應這件事情的原因是因為不管是新南向專班或是產西專班僑員會都是主要在對僑胞窗口嘛但是因為那些學生回來之後又歸教育部管啦對在這個銜接上面他們常常覺得很困擾
transcript.whisperx[2].start 36.633
transcript.whisperx[2].end 51.967
transcript.whisperx[2].text 主要是國內的學校是教育部統管但是學生本身都來自海外沒錯沒錯所以這個部分可能要請那個委員長多費一點心啦因為那些學生有時候他們也許他們從小都是在海外長大嘛回台灣來講的話他們一個陌生環境是對對對好那我現在想來問一下僑委會這個3加4僑生專班的這個成效的問題
transcript.whisperx[3].start 58.513
transcript.whisperx[3].end 72.224
transcript.whisperx[3].text 因為我們當然這個三家四僑生專班利益良善我們是希望說能夠把海外一些優秀人來台灣讀書之後呢可以留在台灣嘛增加我們的勞動人口可是我們可以看到就是他的那個數據的表現譬如說在
transcript.whisperx[4].start 76.688
transcript.whisperx[4].end 92.512
transcript.whisperx[4].text 這個112年的產息專班的畢業率才25.5億大概四分之一左右很低然後留台率就是說他最後留在台灣才24.54不知道說委員長你滿意這樣的一個表現我非常不滿意但是我也有去了解早期從103年10年前的這一批入學當時的人數並不是很多
transcript.whisperx[5].start 99.394
transcript.whisperx[5].end 105.316
transcript.whisperx[5].text 因為當時我們沒有設定比較清楚的這些標準包括說進來讀書的學生年齡可能是很大了你現在剛剛12歲以下嘛對對對當時都是還有將近30歲的也進來讀所以他們很快又認識男女朋友又去結婚生孩子然後就很容易就輟學然後或者因為家庭的因素經濟的因素就離開所以我們有檢討了前幾年因為這都是開辦初期啦所以開辦初期的這些狀況因為整個方案也不成熟然後
transcript.whisperx[6].start 129.003
transcript.whisperx[6].end 147.656
transcript.whisperx[6].text 誘因也不多然後加上說因為沒有做好這個年齡的管制所以後面我們現在都有做很好的一些規劃那您預期說透過改善之後大概您預期我想未來三年未來三年這個留台率跟畢業率我們第一個要求畢業率包括說從這個技高端高職轉接這個科技大學畢業率跟銜接率一定要夠高如果沒有達到我們的標準標準是多少
transcript.whisperx[7].start 157.603
transcript.whisperx[7].end 181.444
transcript.whisperx[7].text 標準我們希望能夠達到八成到九成八成到九成然後再讀四年留下來我們希望至少畢業率要到九成畢業率要到九成畢業率要到九成因為我們現在逐漸的我要加碼給很多這個蘿蔔所以他要能夠達到而且他們很需要這些學生我也給他師資的協助也給他很多方案的協助那所以學校我相信未來會很認真的來辦
transcript.whisperx[8].start 182.105
transcript.whisperx[8].end 208.983
transcript.whisperx[8].text 所以你的意思是說大概預計三年後他們的畢業率可以到九成可以那留台率的話就看展學媒合的狀況就會提高而且我們兩年前開始真的也開辦了僑生就業博覽會因為這個都是之前的之前因為沒有這些配套措施所以只有單一方案第一個就不容易招生所以人數都很少第二個因為年齡沒有限制他很容易到二三十歲他去結婚了就離開了我懂我懂 我剛剛有講過
transcript.whisperx[9].start 212.225
transcript.whisperx[9].end 235.686
transcript.whisperx[9].text 定的還蠻高的啦希望你要努力達成那有海外的那個僑領建議啦有些學生回來讀書的時候因為他中文不好所以他就對這個課程失去興趣也造成他的離開學校啦所以我們昨天特別跟對 有人建議說是不是說可以回來之後先讀一年中文然後再銜接這個三加四你覺得有可能嗎
transcript.whisperx[10].start 236.466
transcript.whisperx[10].end 246.734
transcript.whisperx[10].text 現在是這樣我們有昨天跟教育部開會確實有幾個配套方案我們第一個就是會廣泛在海外設立這個基地開辦這個華語密集班華語研習營你說等他們再回來幾天
transcript.whisperx[11].start 253.418
transcript.whisperx[11].end 272.663
transcript.whisperx[11].text 申請前我們就讓他先有機會上華語那華語的程度提到一個程度以後如果被我們錄取了來到台灣前三個月前一個學期全部都要學華語所以我們有加強班昨天就是在跟教育部開會協調說可不可以要求第一個學期這個華語的課程呢
transcript.whisperx[12].start 276.064
transcript.whisperx[12].end 285.553
transcript.whisperx[12].text 比例加重然後其他的課程相對呢也到後面因為我還有別的問題要問希望喬委會加油啦因為委員長我印象中好像之前你也都在喬委會嘛對那為什麼這些問題你之前都沒發現你當委員長才發現是前一個委員長的問題是不是
transcript.whisperx[13].start 295.342
transcript.whisperx[13].end 312.261
transcript.whisperx[13].text 不是 因為之前我夜館的範圍不包括喬叫聲喬聲 了解了解原來分這麼細我們分得很清楚 對那之前的委員長可能就有點失職了我不知道好 沒關係第二個問題也是一樣因為我們現在橋友會也有在海外設一個台灣華語文學
transcript.whisperx[14].start 313.502
transcript.whisperx[14].end 338.671
transcript.whisperx[14].text 台灣華語文的學習中心嘛那時候我還有看過報導說這是要對抗那個中國的孔子學院我們層次沒有到這麼低我們有更高的戰略目標當然啦當然啦戰略目標更高啦但是要讓海外不管是台灣人也好就是國際人士都一樣嘛但問題是這個成效也是一樣喔我提出來一個隨便舉一個成效就好了如果你要對
transcript.whisperx[15].start 339.891
transcript.whisperx[15].end 365.658
transcript.whisperx[15].text 海外的人士讓他們學習華語引起他們興趣的話那宣傳管道要夠嘛可是我們看到你們的很多影片點閱率都很低像有的兩百多有的四十有的三十有的七十那如果對外宣傳的點閱率那麼低的話好像就達不太到效果中委員報告有些這個都不是我們官方製造的就是說各個我當然知道嘛這是自然流量嘛但是我們現在講就是自然流量太低
transcript.whisperx[16].start 366.158
transcript.whisperx[16].end 374.287
transcript.whisperx[16].text 因為我們都不會去下廣告然後就是當地華語文中心的學員他們自己PO的這就是問題了第一個你有目標嘛你的目標就是說要讓海外的國際人士來學中文我們還有更高的戰略目標
transcript.whisperx[17].start 386.28
transcript.whisperx[17].end 390.343
transcript.whisperx[17].text 對那結果我們目標遠大但是我們的執行很渺小然後就計時委員我們需要的是經費因為如果我們經費不提升我們的沒有啦 這個應該是經費也沒有說不夠啦看你怎麼運用啦沒有 看你怎麼運用啦像有一些
transcript.whisperx[18].start 401.972
transcript.whisperx[18].end 416.148
transcript.whisperx[18].text 比如說網紅他內容很好他不需要廣告不算所以我們今年又開始點閱率也很高所以你不能把點閱率的少直接把它歸因為沒內容還是王道我知道委員的意思所以你還要通過很多管道去宣傳所以目標遠大
transcript.whisperx[19].start 416.989
transcript.whisperx[19].end 434.793
transcript.whisperx[19].text 就要有執行力啦好不好好的請委員也多支持我們的預算我們都沒有刪你預算啊但是你要努力啊你不能說因為我沒有努力都歸咎於沒有錢啊這樣回答也不是很我們會很努力有限的預算我們會繼續持續的來推進幾時太偏低了好謝謝好謝謝委員謝謝葉雲芝委員委員長請回