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 |