{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T13:52:04Z","timestamp":1782481924760,"version":"3.54.5"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032297693","type":"print"},{"value":"9783032297709","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T00:00:00Z","timestamp":1782518400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T00:00:00Z","timestamp":1782518400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-3-032-29770-9_34","type":"book-chapter","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T13:33:24Z","timestamp":1782480804000},"page":"309-317","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Effects of Job Task Focused Career Education for Human\u2013AI Coexistence on Students\u2019 AI Career Interest and Career Adaptability"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8141-3154","authenticated-orcid":false,"given":"Takaki","family":"Kondo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shota","family":"Higuchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akira","family":"Maeda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroto","family":"Jitsukawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kento","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiro","family":"Kawamura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuki","family":"Watanabe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,27]]},"reference":[{"issue":"1","key":"34_CR1","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1186\/s40594-023-00418-7","volume":"10","author":"L Casal-Otero","year":"2023","unstructured":"Casal-Otero, L., Catal\u00e1, A., Fern\u00e1ndez-Morante, C., Taboada, M., Cebreiro, B., et al.: AI literacy in K-12: a systematic literature review. Int. J. STEM Educ. 10(1), 29 (2023)","journal-title":"Int. J. STEM Educ."},{"key":"34_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.actpsy.2025.105487","volume":"260","author":"X Chen","year":"2025","unstructured":"Chen, X., Ke, J., Zhang, X.-E., Chen, J.: The impact of AI anxiety on employees\u2019 work passion: a moderated mediated effect model. Acta Psychol. 260, 105487 (2025)","journal-title":"Acta Psychol."},{"key":"34_CR3","first-page":"1","volume-title":"Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE \u201821)","author":"I Lee","year":"2021","unstructured":"Lee, I., Ali, S., Zhang, H., DiPaola, D., Breazeal, C.: Developing middle school students\u2019 AI literacy. In: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE \u201821), pp. 1\u20137 (2021)"},{"key":"34_CR4","unstructured":"Ministry of Health, Labour and Welfare (MHLW), Japan: Job Tag (Occupational Information Provision Website). https:\/\/shigoto.mhlw.go.jp\/, last Accessed 02 Feb 2026 (in Japanese)"},{"key":"34_CR5","unstructured":"National Institution for Youth Education: Survey report on high school students\u2019 attitudes toward science and learning: A comparison of Japan, the United States, China, and South Korea. https:\/\/www.niye.go.jp\/wp-content\/uploads\/2025\/07\/kagaku_zentai.pdf, last Accessed 02 Feb 2026 (in Japanese)"},{"issue":"3","key":"34_CR6","doi-asserted-by":"publisher","first-page":"1082","DOI":"10.1111\/bjet.13411","volume":"55","author":"DTK Ng","year":"2024","unstructured":"Ng, D.T.K., Wu, W., Leung, J.K.L., Chiu, T.K.F., Chu, S.K.W.: Design and validation of the AI literacy questionnaire: the affective, behavioural, cognitive and ethical approach. Br. J. Educ. Technol. 55(3), 1082\u20131104 (2024)","journal-title":"Br. J. Educ. Technol."},{"key":"34_CR7","doi-asserted-by":"publisher","DOI":"10.1787\/d5f8e3f2-en","volume-title":"The State of Global Teenage Career Preparation","author":"OECD","year":"2025","unstructured":"OECD: The State of Global Teenage Career Preparation. OECD Publishing, Paris (2025). https:\/\/doi.org\/10.1787\/d5f8e3f2-en. last Accessed 02 Feb 2026"},{"key":"34_CR8","unstructured":"U.S. Department of Labor, Employment and Training Administration: O*NET. https:\/\/www.dol.gov\/agencies\/eta\/onet, last Accessed 02 Feb 2026"},{"issue":"4","key":"34_CR9","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1080\/10494820.2019.1674887","volume":"30","author":"Y-Y Wang","year":"2022","unstructured":"Wang, Y.-Y., Wang, Y.-S.: Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior. Interact. Learn. Environ. 30(4), 619\u2013634 (2022)","journal-title":"Interact. Learn. Environ."},{"key":"34_CR10","unstructured":"World Economic Forum: The Future of Jobs Report 2025. https:\/\/www.weforum.org\/reports\/the-future-of-jobs-report-2025\/, last Accessed 02 Feb 2026"},{"issue":"2","key":"34_CR11","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1007\/s40593-022-00293-3","volume":"33","author":"H Zhang","year":"2023","unstructured":"Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., Breazeal, C.: Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: an exploratory study. Int. J. Artif. Intell. Educ. 33(2), 290\u2013324 (2023)","journal-title":"Int. J. Artif. Intell. Educ."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-29770-9_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T13:33:33Z","timestamp":1782480813000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-29770-9_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,27]]},"ISBN":["9783032297693","9783032297709"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-29770-9_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,27]]},"assertion":[{"value":"27 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seoul","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aied-conference.org\/2026","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}