Field Trips Anywhere
CHO(HAN)Haejoang
Field Trips Anywhere
CHO(HAN)Haejoang

중국의 AI 교육 광풍 소식

조한 2019.08.04 02:42 조회수 : 148

수학 시간에 AI tutor 제도로 교육혁명을 일으키고 있다는 뉴스다.

한국 학원에서 오래 전에 이미 만들었던 것일수도 있는데 

여튼 AI의 힘을 많이 빌리는 방향으로 가고 있다.

그러나 여전히 입시를 목표로 할 경우, 그런 adaptive learning 은 사실상 큰 효과를 내기 힘들 것.

personalized learning, 독학자로 키우는 것이 관건이라고 서양학자들은 앞다투어 말하고 있다.

China has started a grand experiment in AI education. It could reshape how the world learns. - MIT Technology Review

 

AI tutor, machine learning

Zhou Yi was terrible at math. He risked never getting into college. Then a company called Squirrel AI came to his middle school in Hangzhou, China, promising personalized tutoring. He had tried tutoring services before, but this one was different: instead of a human teacher, an AI algorithm would curate his lessons. The 13-year-old decided to give it a try. By the end of the semester, his test scores had risen from 50% to 62.5%. Two years later, he scored an 85% on his final middle school exam. “I used to think math was terrifying,” he says. “But through tutoring, I realized it really isn’t that hard. It helped me take the first step down a different path.”

adaptive learning, personalized learning

Squirrel’s approach may yield great results on traditional education, but it doesn’t prepare students to be flexible in a changing world, the experts I spoke to say. “There’s a difference between adaptive learning and personalized learning,” says Chris Dede, a professor at Harvard University in the Technology, Innovation, and Education Program. Squirrel is doing adaptive learning, which is about “understanding exactly what students know and don’t know.” But it pays no attention to what they want to know or how they learn best. Personalized learning takes their interests and needs into account to “orchestrate the motivation and time for each student so they are able to make progress.”

 

Pace, Path and Destination

Jutta Treviranus, a professor at the Ontario College of Art and Design University who pioneered personalized learning to improve inclusivity in education, breaks it down further. “Personalized learning has a number of levels,” she says: she calls them pace, path, and destination.

If the pace of learning is personalized, students with different abilities are allowed different amounts of time to learn the same material. If the path is personalized, students might be given different motivations to reach the same objectives (“Here’s why statistics is relevant to your love of baseball”) and offered the material in different formats (e.g., video versus text). If the destination is personalized, students can choose, for instance, whether to learn with a vocational school or a university in mind.

“We need students to understand their own learning. We need them to determine what they want to learn, and we need them to learn to learn,” Treviranus says. “Squirrel AI doesn’t address those things at all. It only makes it more efficient to bring all of the students to the same standardized place.”

That doesn’t mean that adaptive learning systems won’t have any place in the 21st-century classroom. David Dockterman, a colleague of Dede’s, believes their strength in training people on structured knowledge is still valuable. But it would be a mistake to make them the predominant “teacher” in the classroom: “The kinds of rote activities—knowledge retrieval, skill acquisition—that are more readily teachable with a smart tutor are also the things that are more readily accomplished by a smart machine,” he says.

목록 제목 날짜 조회수
85 아이를 돌보는 마을살이 file 2020.04.07 104
84 KAIST, 중·고교 ‘온라인 개학’ 지원 나선다 2020.04.07 100
83 저활성 사회 (정근식) 다산포럼 2020.04.07 78
82 좋은 글-"바이러스와 인간, 그리고 권력 2020.04.07 100
81 채혜원의 베를린 다이어리- 돌봄 간병 여성이 없다면 우리 사회는 멈춰 있을 것 2020.03.28 276
80 포스트 코로나 교육 전환 - 원격수업운영 기준안을 보고 2020.03.28 160
79 마르켈 총리의 코로나 사태 관련 담화 2020.03.20 144
78 [왜냐면] 나! ‘코로나19 바이러스’ / 김정헌 2020.03.17 114
77 청소년 기후 행동 2020.03.14 123
76 어떤 ‘코로나 서사’를 쓸 것인가 (황정아) 2020.03.07 147
75 [슬로워크・빠띠] 원격근무가 처음이라면 2020.03.07 128
74 큰 위기, 작은 소동, 그리고 재난 학교 file 2020.02.28 128
73 코로나 바이러스 관련 좋은 기사 2020.02.22 205
72 AI 관련 책 추천 2020.02.21 183
71 좋은 소식~ 기후 변화 정부 책임 세계 첫 판결 2020.02.21 204
70 트럼프지지자들이 리버럴을 미워하는 이유 2020.02.18 112
69 artificial intelligence, ethics and society 20200208 2020.02.09 127
68 [세상 읽기] 희망은 없다 / 신영전(한대 의대) 2020.02.06 351
67 In this life-Israel Kamakawiwo'ole 2020.02.05 113
66 하와이 알로하 2020.02.05 227
65 내가 제일 좋아하는 영화 중 하나 2020.01.28 173
64 기본소득과 기초자산 (사회적 경제연구소) 2020.01.28 161
63 달콤한 잠에 빠진 물개 file 2020.01.27 106
62 마을 체육관에서 벌어진 방학 주말 학교 file 2020.01.27 149
61 고래가 지나가는 곳에서 file 2020.01.27 109
60 다 함께 폭력을 몰아내는 춤을 2020.01.25 99
59 다시 칼럼 쓰기로 2020.01.20 130
58 플렛폼 이코노미 -아마존의 몰락? 홍기빈 2020.01.20 137
57 따뜻한 곳으로 가서 노시오 ! file 2020.01.16 113
56 함께 한 대학 시절 이야기 2019.12.29 162
55 새해 맞이 영화 2019.12.29 125
54 < 활짝 웃어라!- 문화인류학자의 북한이야기> 추천사 2019.12.26 622
53 일년전 사회학 대회 때 글을 다시 읽게 된다 file 2019.11.26 291
52 미래국가 전략 구성 포럼 file 2019.11.26 131
51 5/22 생애전환과 시대 전환 file 2019.11.26 852
50 라이프 3.0 인문학 file 2019.11.26 143
49 11/9 라이프 3.0 인문학 인트로 file 2019.11.26 128
48 11/21 서울 지식이음 포럼 축제 기조강연 file 2019.11.25 140
47 이바쇼 2019.10.07 242
46 촛불을 들지 못한 20대들 2019.10.07 192