Overview

Dataset statistics

Number of variables6
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory55.3 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description2020년 SW교육 페스티벌은 코로나19 확산으로 인해 강연, 현장교사의 수업 시연 등이 사전녹화 영상으로 이루어짐.해당 파일은 강연 제목, 연사, 영상링크 등을 담고 있어 SW교육에 관심 있는 학부모·교사·학생 등에게 유용함
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15091325/fileData.do

Alerts

연도 has constant value ""Constant
구분 is highly overall correlated with 프로그램 구분High correlation
프로그램 구분 is highly overall correlated with 구분High correlation
구분 has unique valuesUnique
영상물 제목 has unique valuesUnique
영상물 링크 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:55:20.288710
Analysis finished2023-12-12 07:55:20.870123
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T16:55:20.941441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T16:55:21.058094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2020
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 25
100.0%

Length

2023-12-12T16:55:21.222409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:55:21.323189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 25
100.0%

영상물 제목
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T16:55:21.648917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length24
Mean length22.04
Min length6

Characters and Unicode

Total characters551
Distinct characters180
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st rowNVIDIA가 바라보는 AI 현재와 미래
2nd row인공지능의 현재 그리고 우리의 미래
3rd row환불불가 디지털 전환과 사회적 변화의 가속
4th row코로나 맵 진짜 하루 만에 만들었다고
5th row개발자의 조건은 오로지 재미
ValueCountFrequency (%)
ai교육 4
 
3.1%
sw 4
 
3.1%
위한 3
 
2.3%
귀여운 2
 
1.5%
프로젝트 2
 
1.5%
전 2
 
1.5%
국민을 2
 
1.5%
플랫폼 2
 
1.5%
이솦 2
 
1.5%
가볍게 2
 
1.5%
Other values (94) 105
80.8%
2023-12-12T16:55:22.084702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
19.2%
로 13
 
2.4%
I 12
 
2.2%
A 11
 
2.0%
교 11
 
2.0%
가 10
 
1.8%
는 8
 
1.5%
육 8
 
1.5%
W 7
 
1.3%
S 7
 
1.3%
Other values (170) 358
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
68.8%
Space Separator 106
 
19.2%
Uppercase Letter 41
 
7.4%
Decimal Number 8
 
1.5%
Close Punctuation 7
 
1.3%
Open Punctuation 7
 
1.3%
Lowercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 13
 
3.4%
교 11
 
2.9%
가 10
 
2.6%
는 8
 
2.1%
육 8
 
2.1%
이 7
 
1.8%
지 7
 
1.8%
하 7
 
1.8%
나 6
 
1.6%
기 6
 
1.6%
Other values (150) 296
78.1%
Uppercase Letter
ValueCountFrequency (%)
I 12
29.3%
A 11
26.8%
W 7
17.1%
S 7
17.1%
N 1
 
2.4%
X 1
 
2.4%
D 1
 
2.4%
V 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
5 1
 
12.5%
0 1
 
12.5%
2 1
 
12.5%
8 1
 
12.5%
9 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
68.8%
Common 129
 
23.4%
Latin 43
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 13
 
3.4%
교 11
 
2.9%
가 10
 
2.6%
는 8
 
2.1%
육 8
 
2.1%
이 7
 
1.8%
지 7
 
1.8%
하 7
 
1.8%
나 6
 
1.6%
기 6
 
1.6%
Other values (150) 296
78.1%
Common
ValueCountFrequency (%)
106
82.2%
) 7
 
5.4%
( 7
 
5.4%
1 3
 
2.3%
5 1
 
0.8%
0 1
 
0.8%
2 1
 
0.8%
8 1
 
0.8%
9 1
 
0.8%
. 1
 
0.8%
Latin
ValueCountFrequency (%)
I 12
27.9%
A 11
25.6%
W 7
16.3%
S 7
16.3%
N 1
 
2.3%
X 1
 
2.3%
s 1
 
2.3%
i 1
 
2.3%
D 1
 
2.3%
V 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
68.8%
ASCII 172
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
61.6%
I 12
 
7.0%
A 11
 
6.4%
W 7
 
4.1%
S 7
 
4.1%
) 7
 
4.1%
( 7
 
4.1%
1 3
 
1.7%
5 1
 
0.6%
0 1
 
0.6%
Other values (10) 10
 
5.8%
Hangul
ValueCountFrequency (%)
로 13
 
3.4%
교 11
 
2.9%
가 10
 
2.6%
는 8
 
2.1%
육 8
 
2.1%
이 7
 
1.8%
지 7
 
1.8%
하 7
 
1.8%
나 6
 
1.6%
기 6
 
1.6%
Other values (150) 296
78.1%

프로그램 구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
SW교육 수업 콘서트
6 
AI X 에듀
5 
SW AI 공감 스피치
3 
SW AI 개발자 토크쇼
3 
SW AI 프렌즈 스토리
3 
Other values (2)
5 

Length

Max length13
Median length11
Mean length9.96
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSW AI 공감 스피치
2nd rowSW AI 공감 스피치
3rd rowSW AI 공감 스피치
4th rowSW AI 개발자 토크쇼
5th rowSW AI 개발자 토크쇼

Common Values

ValueCountFrequency (%)
SW교육 수업 콘서트 6
24.0%
AI X 에듀 5
20.0%
SW AI 공감 스피치 3
12.0%
SW AI 개발자 토크쇼 3
12.0%
SW AI 프렌즈 스토리 3
12.0%
AI수업 엿보기 3
12.0%
랜선나들이 2
 
8.0%

Length

2023-12-12T16:55:22.257847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:55:22.385132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ai 14
18.2%
sw 9
11.7%
sw교육 6
 
7.8%
수업 6
 
7.8%
콘서트 6
 
7.8%
x 5
 
6.5%
에듀 5
 
6.5%
공감 3
 
3.9%
스피치 3
 
3.9%
개발자 3
 
3.9%
Other values (6) 17
22.1%

발표자
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T16:55:22.633741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length17.76
Min length2

Characters and Unicode

Total characters444
Distinct characters146
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)76.0%

Sample

1st row엔비디아 코리아(NVIDIA Korea) 유응준대표
2nd rowLG CNS AI빅데이터연구소 이주열CTO
3rd row마이크로소프트(Microsoft) 함상범전무
4th row모닥 이동훈CTO
5th row카카오 김연지이사
ValueCountFrequency (%)
인천석정초등학교 2
 
2.9%
세종보람고등학교 2
 
2.9%
임건웅교사 2
 
2.9%
기타 2
 
2.9%
안산원곡초등학교 2
 
2.9%
김슬기교사 2
 
2.9%
김도용교사 2
 
2.9%
전재천교사 1
 
1.4%
정종호교사 1
 
1.4%
대정고등학교 1
 
1.4%
Other values (52) 52
75.4%
2023-12-12T16:55:23.087348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 48
 
10.8%
44
 
9.9%
사 25
 
5.6%
학 25
 
5.6%
등 20
 
4.5%
김 13
 
2.9%
초 12
 
2.7%
이 9
 
2.0%
대 9
 
2.0%
고 8
 
1.8%
Other values (136) 231
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
81.3%
Space Separator 44
 
9.9%
Uppercase Letter 21
 
4.7%
Lowercase Letter 12
 
2.7%
Other Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 48
 
13.3%
사 25
 
6.9%
학 25
 
6.9%
등 20
 
5.5%
김 13
 
3.6%
초 12
 
3.3%
이 9
 
2.5%
대 9
 
2.5%
고 8
 
2.2%
정 7
 
1.9%
Other values (110) 185
51.2%
Uppercase Letter
ValueCountFrequency (%)
I 3
14.3%
C 3
14.3%
O 2
9.5%
T 2
9.5%
N 2
9.5%
A 2
9.5%
G 1
 
4.8%
L 1
 
4.8%
S 1
 
4.8%
K 1
 
4.8%
Other values (3) 3
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
25.0%
r 2
16.7%
s 1
 
8.3%
a 1
 
8.3%
e 1
 
8.3%
t 1
 
8.3%
i 1
 
8.3%
c 1
 
8.3%
f 1
 
8.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
81.3%
Common 50
 
11.3%
Latin 33
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 48
 
13.3%
사 25
 
6.9%
학 25
 
6.9%
등 20
 
5.5%
김 13
 
3.6%
초 12
 
3.3%
이 9
 
2.5%
대 9
 
2.5%
고 8
 
2.2%
정 7
 
1.9%
Other values (110) 185
51.2%
Latin
ValueCountFrequency (%)
o 3
 
9.1%
I 3
 
9.1%
C 3
 
9.1%
O 2
 
6.1%
T 2
 
6.1%
N 2
 
6.1%
A 2
 
6.1%
r 2
 
6.1%
s 1
 
3.0%
G 1
 
3.0%
Other values (12) 12
36.4%
Common
ValueCountFrequency (%)
44
88.0%
, 2
 
4.0%
( 2
 
4.0%
) 2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
81.3%
ASCII 83
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 48
 
13.3%
사 25
 
6.9%
학 25
 
6.9%
등 20
 
5.5%
김 13
 
3.6%
초 12
 
3.3%
이 9
 
2.5%
대 9
 
2.5%
고 8
 
2.2%
정 7
 
1.9%
Other values (110) 185
51.2%
ASCII
ValueCountFrequency (%)
44
53.0%
o 3
 
3.6%
I 3
 
3.6%
C 3
 
3.6%
O 2
 
2.4%
T 2
 
2.4%
, 2
 
2.4%
N 2
 
2.4%
A 2
 
2.4%
r 2
 
2.4%
Other values (16) 18
21.7%

영상물 링크
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T16:55:23.332195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length43.64
Min length43

Characters and Unicode

Total characters1091
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/watch?v=INYTP7EoRqk
2nd rowhttps://www.youtube.com/watch?v=RuOD8tvtXOg
3rd rowhttps://www.youtube.com/watch?v=8lKLfPkBrLQ
4th rowhttps://www.youtube.com/watch?v=CZX5IZS1mVs
5th rowhttps://www.youtube.com/watch?v=A5scyyIRMic
ValueCountFrequency (%)
https://www.youtube.com/watch?v=inytp7eorqk 1
 
4.0%
https://www.youtube.com/watch?v=lkxyoqbtmua 1
 
4.0%
https://www.youtube.com/watch?v=z982wxvjqwm 1
 
4.0%
https://www.youtube.com/watch?v=b6quh6h5nye 1
 
4.0%
https://www.youtube.com/watch?v=db_dg3-kfw0 1
 
4.0%
https://www.youtube.com/watch?v=-i9qk3xqltc 1
 
4.0%
https://www.youtube.com/watch?v=qvnq4nwhhls 1
 
4.0%
https://www.youtube.com/watch?v=xzzcnil4bw0 1
 
4.0%
https://www.youtube.com/watch?v=_zfbjyswbyy 1
 
4.0%
https://www.youtube.com/watch?v=ebaipqojmi8 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T16:55:23.794451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 106
 
9.7%
t 105
 
9.6%
/ 75
 
6.9%
c 57
 
5.2%
h 55
 
5.0%
o 53
 
4.9%
u 52
 
4.8%
. 50
 
4.6%
b 31
 
2.8%
m 31
 
2.8%
Other values (61) 476
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 706
64.7%
Other Punctuation 177
 
16.2%
Uppercase Letter 124
 
11.4%
Decimal Number 45
 
4.1%
Math Symbol 27
 
2.5%
Dash Punctuation 6
 
0.5%
Connector Punctuation 3
 
0.3%
Space Separator 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 106
15.0%
t 105
14.9%
c 57
 
8.1%
h 55
 
7.8%
o 53
 
7.5%
u 52
 
7.4%
b 31
 
4.4%
m 31
 
4.4%
y 30
 
4.2%
s 30
 
4.2%
Other values (16) 156
22.1%
Uppercase Letter
ValueCountFrequency (%)
I 10
 
8.1%
Y 9
 
7.3%
Q 8
 
6.5%
N 7
 
5.6%
Z 7
 
5.6%
R 6
 
4.8%
J 6
 
4.8%
B 5
 
4.0%
L 5
 
4.0%
X 5
 
4.0%
Other values (16) 56
45.2%
Decimal Number
ValueCountFrequency (%)
4 6
13.3%
9 6
13.3%
1 5
11.1%
7 5
11.1%
8 5
11.1%
0 5
11.1%
6 4
8.9%
5 4
8.9%
3 3
6.7%
2 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 75
42.4%
. 50
28.2%
: 25
 
14.1%
? 25
 
14.1%
& 2
 
1.1%
Math Symbol
ValueCountFrequency (%)
= 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 830
76.1%
Common 261
 
23.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 106
 
12.8%
t 105
 
12.7%
c 57
 
6.9%
h 55
 
6.6%
o 53
 
6.4%
u 52
 
6.3%
b 31
 
3.7%
m 31
 
3.7%
y 30
 
3.6%
s 30
 
3.6%
Other values (42) 280
33.7%
Common
ValueCountFrequency (%)
/ 75
28.7%
. 50
19.2%
= 27
 
10.3%
: 25
 
9.6%
? 25
 
9.6%
4 6
 
2.3%
- 6
 
2.3%
9 6
 
2.3%
1 5
 
1.9%
7 5
 
1.9%
Other values (9) 31
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1091
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 106
 
9.7%
t 105
 
9.6%
/ 75
 
6.9%
c 57
 
5.2%
h 55
 
5.0%
o 53
 
4.9%
u 52
 
4.8%
. 50
 
4.6%
b 31
 
2.8%
m 31
 
2.8%
Other values (61) 476
43.6%

Interactions

2023-12-12T16:55:20.597298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:55:23.923918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분영상물 제목프로그램 구분발표자영상물 링크
구분1.0001.0000.9521.0001.000
영상물 제목1.0001.0001.0001.0001.000
프로그램 구분0.9521.0001.0001.0001.000
발표자1.0001.0001.0001.0001.000
영상물 링크1.0001.0001.0001.0001.000
2023-12-12T16:55:24.035952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분프로그램 구분
구분1.0000.749
프로그램 구분0.7491.000

Missing values

2023-12-12T16:55:20.712542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:55:20.833340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분연도영상물 제목프로그램 구분발표자영상물 링크
012020NVIDIA가 바라보는 AI 현재와 미래SW AI 공감 스피치엔비디아 코리아(NVIDIA Korea) 유응준대표https://www.youtube.com/watch?v=INYTP7EoRqk
122020인공지능의 현재 그리고 우리의 미래SW AI 공감 스피치LG CNS AI빅데이터연구소 이주열CTOhttps://www.youtube.com/watch?v=RuOD8tvtXOg
232020환불불가 디지털 전환과 사회적 변화의 가속SW AI 공감 스피치마이크로소프트(Microsoft) 함상범전무https://www.youtube.com/watch?v=8lKLfPkBrLQ
342020코로나 맵 진짜 하루 만에 만들었다고SW AI 개발자 토크쇼모닥 이동훈CTOhttps://www.youtube.com/watch?v=CZX5IZS1mVs
452020개발자의 조건은 오로지 재미SW AI 개발자 토크쇼카카오 김연지이사https://www.youtube.com/watch?v=A5scyyIRMic
562020인공지능 is 뭔들 AIX의학 개발이야기SW AI 개발자 토크쇼뷰노 김상근파트장https://www.youtube.com/watch?v=PJdqIamUIMw&t=17s
672020AI로 코로나 문제 해결하기SW교육 수업 콘서트문광초등학교 이한빈교사https://www.youtube.com/watch?v=-7tIRlNSBqE
782020AI교육의 기초가 되는 학습자 주도형 데이터 분석 수업SW교육 수업 콘서트서운중학교 김경민교사 대왕중학교 장은진교사https://www.youtube.com/watch?v=f4oYNixe8e4
892020나도 출제자SW교육 수업 콘서트서울과학고등학교 박다솜교사 박병기교사, 장광재교사https://www.youtube.com/watch?v=5cYmccagr6A
9102020SW 스마트 웰빙 프로젝트 수업SW교육 수업 콘서트괴정초등학교 김대길교사 하단초등학교 유누리교사https://www.youtube.com/watch?v=va_JZbYb-ek&t=137s
구분연도영상물 제목프로그램 구분발표자영상물 링크
15162020초등 단계별 AI교육 프로그램 개발 및 적용AI수업 엿보기대구광역시교육청 전재천교사 대구한실초등학교 전용욱교사https://www.youtube.com/watch?v=jwOAK9VcZDY
16172020인공지능교육을 위한 교수 학습방법 콘텐츠 연구AI수업 엿보기대정고등학교 정종호교사 제주대부설초등학교 김병수교사https://www.youtube.com/watch?v=ebAIpQOJMI8
171820202015개정 교육 과정 재구성을 통한 AI교육AI수업 엿보기서원고등학교 김종혜교사 경기과학고등학교 박종화교사https://www.youtube.com/watch?v=_zFbJySwbyY
18192020랜선나들이 넥슨컴퓨터박물관랜선나들이기타https://www.youtube.com/watch?v=xZzCNIl4Bw0
19202020랜선나들이 핸즈온 캠퍼스랜선나들이기타https://www.youtube.com/watch?v=QvnQ4nwhhLs
20212020전 국민을 위한 SW AI교육 플랫폼 이솦 가볍게 시작하기 (일반인용)AI X 에듀안산원곡초등학교 김슬기교사https://www.youtube.com/watch?v=-I9QK3XQlTc
21222020전 국민을 위한 SW AI교육 플랫폼 이솦 가볍게 시작하기 (교사용)AI X 에듀안산원곡초등학교 김슬기교사https://www.youtube.com/watch?v=DB_Dg3-kFW0
22232020귀여운 비버가 등장하는 정보과학(SW)문제를 풀어볼까요 (전국민용)AI X 에듀인천석정초등학교 김도용교사 세종보람고등학교 임건웅교사https://www.youtube.com/watch?v=b6QUh6H5NyE
23242020귀여운 비버가 등장하는 정보과학(SW)문제를 풀어볼까요 (교사용)AI X 에듀인천석정초등학교 김도용교사 세종보람고등학교 임건웅교사https://www.youtube.com/watch?v=Z982wXvJQWM
24252020여러 도구로 체험하는 쉽고 재미있는 인공지능(AI)AI X 에듀서울영도초등학교 이영호교사https://www.youtube.com/watch?v=Lh6dh9kGi74