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      4차 산업혁명 시대 인공지능의 교육적 활용과 지리교육의 과제 = The Educational Use of Artificial Intelligence and the Task of Geography Education in the Era of the Fourth Industrial Revolution

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      The purpose of this study is to investigate the rationale for incorporating artificial intelligence (AI) in the educational context in preparation for the era of the 4th industrial revolution and introduce representative AI tutoring systems. In addition, this article discusses tasks that geography educators should be interested when adopting AI into education. The AI systems are pedagogically beneficial because they support individualized learning and are developing into an effective system by introducing the achievements of learning science. Moreover, they are evolving into a system that encompasses not only cognitive but also affective domains. This research classified the AI education platforms into computer-aided AI, intelligent tutoring system, dialogue-based tutoring system, and exploratory learning environment, and furthermore presented representative examples. Finally, this study discusses the need for research related to developing specialized systems and strategies for geographic learning, building a detailed database on learning processes, and expanding to various strategies. This research expands academic horizons by investigating AI in the educational context and trigger further discussions on the use of AI in geography education.
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      The purpose of this study is to investigate the rationale for incorporating artificial intelligence (AI) in the educational context in preparation for the era of the 4th industrial revolution and introduce representative AI tutoring systems. In additi...

      The purpose of this study is to investigate the rationale for incorporating artificial intelligence (AI) in the educational context in preparation for the era of the 4th industrial revolution and introduce representative AI tutoring systems. In addition, this article discusses tasks that geography educators should be interested when adopting AI into education. The AI systems are pedagogically beneficial because they support individualized learning and are developing into an effective system by introducing the achievements of learning science. Moreover, they are evolving into a system that encompasses not only cognitive but also affective domains. This research classified the AI education platforms into computer-aided AI, intelligent tutoring system, dialogue-based tutoring system, and exploratory learning environment, and furthermore presented representative examples. Finally, this study discusses the need for research related to developing specialized systems and strategies for geographic learning, building a detailed database on learning processes, and expanding to various strategies. This research expands academic horizons by investigating AI in the educational context and trigger further discussions on the use of AI in geography education.

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      참고문헌 (Reference)

      1 강영옥, "합성곱신경망을 활용한 SNS 사진 분류 및 관광객과 거주자의 관광 활동 특성 분석" 대한지리학회 56 (56): 247-264, 2021

      2 조원호, "합성곱 신경망을 이용한 딥러닝 기반의 토지피복 분류: 한국 토지피복을 대상으로" 대한지리학회 54 (54): 1-16, 2019

      3 김현진, "학교교육에서 AI 활용에 대한 교사의 인식" 한국교육공학회 36 (36): 905-930, 2020

      4 황규호, "포스트 코로나 시대 국가교육과정의 과제" 한국교육과정학회 38 (38): 83-106, 2020

      5 김경일, "지혜의 심리학" 진성북스 2017

      6 박지만, "인공지능과 국토정보를 활용한 노인복지취약지구 추출방법에 관한 연구" 한국국토정보공사 48 (48): 169-186, 2018

      7 Holmes, W., "인공지능 시대의 미래교육: 가르침과 배움의 함의" 박영story 2020

      8 신동광, "영어 쓰기 능력 향상을 위한 AI 챗봇 활용 방안 탐색" 교육연구원 35 (35): 41-55, 2019

      9 황홍섭, "빅데이터를 활용한 사회과 교수·학습 모형의 탐색" 한국사회과교육연구학회 58 (58): 63-98, 2019

      10 박지수, "빅데이터 기반 사회과 핵심역량 도출과 평가도구 개발 및 검증: 지리 영역을 중심으로" 부산대학교 2021

      1 강영옥, "합성곱신경망을 활용한 SNS 사진 분류 및 관광객과 거주자의 관광 활동 특성 분석" 대한지리학회 56 (56): 247-264, 2021

      2 조원호, "합성곱 신경망을 이용한 딥러닝 기반의 토지피복 분류: 한국 토지피복을 대상으로" 대한지리학회 54 (54): 1-16, 2019

      3 김현진, "학교교육에서 AI 활용에 대한 교사의 인식" 한국교육공학회 36 (36): 905-930, 2020

      4 황규호, "포스트 코로나 시대 국가교육과정의 과제" 한국교육과정학회 38 (38): 83-106, 2020

      5 김경일, "지혜의 심리학" 진성북스 2017

      6 박지만, "인공지능과 국토정보를 활용한 노인복지취약지구 추출방법에 관한 연구" 한국국토정보공사 48 (48): 169-186, 2018

      7 Holmes, W., "인공지능 시대의 미래교육: 가르침과 배움의 함의" 박영story 2020

      8 신동광, "영어 쓰기 능력 향상을 위한 AI 챗봇 활용 방안 탐색" 교육연구원 35 (35): 41-55, 2019

      9 황홍섭, "빅데이터를 활용한 사회과 교수·학습 모형의 탐색" 한국사회과교육연구학회 58 (58): 63-98, 2019

      10 박지수, "빅데이터 기반 사회과 핵심역량 도출과 평가도구 개발 및 검증: 지리 영역을 중심으로" 부산대학교 2021

      11 김민성, "로우테크 원격탐사 활동의 교육적 효과 - 비판적 공간사고력을 중심으로 -" 한국지리환경교육학회 24 (24): 115-130, 2016

      12 모윤하, "디지털 스토리텔링을 위한 챗봇 개발" 서울대학교 2020

      13 김영훈, "국토공간분석을 위한 인공지능 기법의 가능성 탐색" 451 : 94-95, 2019

      14 김민성, "교사들이 인지하는 고등학생들의 한국지리 오개념" 대한지리학회 48 (48): 482-496, 2013

      15 김길수, "공공부문에서 인공지능 활용에 관한 연구" 한국자치행정학회 33 (33): 27-47, 2019

      16 강영옥, "경험적 모델과 머신러닝 기법을 활용한 SNS 사용자 분류방법 비교: 플리커 데이터의 관광객 분류방법" 대한공간정보학회 27 (27): 29-37, 2019

      17 Selwyn, N., "What’s next for Ed-Tech? Critical hopes and concerns for the 2020s, Learning" 45 (45): 1-6, 2020

      18 D’Mello, S. K., "Toward an affect-sensitive AutoTutor" 22 (22): 53-61, 2007

      19 Ahmad, M. F., "The era of artificial intelligence in Malaysian higher education : Impact and challenges in tangible mixed-reality learning system toward self exploration education(SEE)" 163 : 2-10, 2019

      20 Heffernan, N. T., "The ASSISTments ecosystem : Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching" 24 (24): 470-497, 2014

      21 Heffernan, N. T., "The ASSISTment builder : Towards an analysis of cost effectiveness of ITS creation" 515-520, 2006

      22 Kural, M., "Teaching for hot conceptual change : Towards a new model, beyond the cold and warm ones" 2 (2): 1-40, 2016

      23 Graesser, A. C., "Scaffolding deep comprehension strategies through Point&Query, AutoTutor, and iSTART" 40 (40): 225-234, 2005

      24 최서원, "SW 교육 보조 도구로서의 AI 챗봇 활용" 한국정보통신학회 23 (23): 1693-1699, 2019

      25 Chou, C. Y., "Reciprocal tutoring : Design with cognitive load sharing" 26 (26): 512-535, 2016

      26 Rajendran, R., "Personalized affective feedback to address students’ frustration in ITS" 12 (12): 87-97, 2018

      27 Roschelle, J., "Online mathematics homework increases student achievement" 2 (2): 1-12, 2016

      28 Mason, L., "On warm conceptual change : The interplay of text, epistemological beliefs, and topic interest" 100 (100): 291-309, 2008

      29 Williamson, B., "New digital laboratories of experimental knowledge production : Artificial intelligence and education research" 18 (18): 209-220, 2020

      30 D’Mello, S. K., "Multimodal semiautomated affect detection from conversational cues, gross body language, and facial features" 20 (20): 147-187, 2010

      31 Fischer, C., "Mining big data in education : Affordances and challenges" 44 (44): 130-160, 2020

      32 Knox, J., "Machine behaviourism : Future visions of ‘learnification’ and ‘datafication’ across humans and digital technologies, Learning" 45 (45): 31-45, 2020

      33 Timms, M. J., "Letting artificial intelligence in education out of the box : Educational cobots and smart classrooms" 26 (26): 701-712, 2016

      34 Biswas, G., "Learning by teaching: A new agent paradigm for educational software" 19 (19): 363-392, 2005

      35 Alkhatlan, A., "Intelligent tutoring systems : A comprehensive historical survey with recent developments" 181 (181): 1-20, 2019

      36 Kinnebrew, J. S., "Integrating model-driven and data-driven techniques for analyzing learning behaviors in open-ended learning environments" 10 (10): 140-153, 2015

      37 Williamson, B., "Historical threads, missing links, and future directions in AI in education, Learning" 45 (45): 223-235, 2020

      38 Ideland, M., "Google and the end of the teacher? How a figuration of the teacher is produced through an ed-tech discourse, Learning" 46 (46): 33-46, 2021

      39 Morgan, J., "Geography: Teaching School Subjects" Routledge 11-19, 2005

      40 Janowicz, K., "GeoAI : Spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond" 34 (34): 625-636, 2020

      41 Biswas, G., "From design to implementation to practice a learning by teaching system : Betty’s Brain" 26 (26): 350-364, 2016

      42 du Boulay, B., "Escape from the Skinner Box : The case for contemporary intelligent learning environments" 50 (50): 2902-2919, 2019

      43 McStay, A., "Emotional AI and EdTech : Serving the public good?, Learning" 45 (45): 270-283, 2020

      44 Bringula, R. P., "Effects of pedagogical agents on students’ mathematics performance : A comparison between two versions" 56 (56): 701-722, 2018

      45 Romero, C., "Educational data mining:A review of the state of the art" 40 (40): 601-618, 2010

      46 Scheuer, O., "Educational data mining, Encyclopedia of the Sciences of Learning"

      47 Leelawong, K., "Designing learning by teaching agents : The Betty's Brain system" 18 (18): 181-208, 2008

      48 Luckin, R., "Designing educational technologies in the age of AI : A learning sciencesdriven approach" 50 (50): 2824-2838, 2019

      49 Tan, J., "Computer games as intelligent learning environments : A river ecosystem adventure" 646-653, 2005

      50 Holstein, K., "Codesigning a real-time classroom orchestration tool to support teacher-AI complementarity" 6 (6): 27-52, 2019

      51 Luan, H., "Challenges and future directions of big data and artificial intelligence in education" 11 : 2020

      52 Pintrich, P. R., "Beyond cold conceptual change : The role of motivational beliefs and classroom contextual factors in the process of conceptual change" 63 (63): 167-199, 1993

      53 Nye, B. D., "AutoTutor and family : A review of 17 years of natural language tutoring" 24 (24): 427-469, 2014

      54 D’Mello, S. K., "AutoTutor and affective AutoTutor : Learning by talking with cognitively and emotionally intelligent computers that talk back" 2 (2): 1-39, 2013

      55 Graesser, A. C., "AutoTutor : An intelligent tutoring system with mixed-initiative dialogue" 48 (48): 612-618, 2005

      56 Chen, L., "Artificial intelligence in education : A review" 8 : 75264-75278, 2020

      57 du Boulay, B., "Artificial intelligence as an effective classroom assistant" 31 (31): 76-81, 2016

      58 Knox, J., "Artificial intelligence and education in China, Learning" 45 (45): 298-311, 2020

      59 Kelly, K., "Artificial Intelligence in Education" Springer 824-827, 2013

      60 Holstein, K., "Artificial Intelligence in Education" Springer 154-168, 2018

      61 Asif, R., "Analyzing undergraduate students’ performance using educational data mining" 113 : 177-194, 2017

      62 Wilson, C., "Adaptive systems in education : A review and conceptual unification" 34 (34): 2-19, 2017

      63 Yannier, N., "Active learning is about more than hands-on : A mixed-reality AI system to support STEM education" 30 (30): 74-96, 2020

      64 Goldsmith, A.S, "ASSISTments Cross-Platform Mobile App"

      65 Berendt, B., "AI in education : Learner choice and fundamental rights, Learning" 45 (45): 312-324, 2020

      66 Carbonell, J. R., "AI in CAI : An artificial-intelligence approach to computer-assisted instruction" 11 (11): 190-202, 1970

      67 Crevier, D., "AI : The Tumultuous History of the Search for Artificial Intelligence" Basic Books 1993

      68 Pareto, L., "A teachable agent game engaging primary school children to learn arithmetic concepts and reasoning" 24 (24): 251-283, 2014

      69 Koedinger, K. R., "A quasi-experimental evaluation of an on-line formative assessment and tutoring system" 43 (43): 489-510, 2010

      70 Mendicino, M., "A comparison of traditional homework to computersupported homework" 41 (41): 331-359, 2009

      71 박찬, "4차산업혁명시대 인공지능 융합교육법 : 우리아이 AI" 다빈치books 2020

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2015-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.83 0.83 0.83
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.87 0 0.864 0.38
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