{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T13:51:14Z","timestamp":1782481874228,"version":"3.54.5"},"publisher-location":"Cham","reference-count":22,"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_48","type":"book-chapter","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T13:25:40Z","timestamp":1782480340000},"page":"440-449","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Adversarial Assignment Perturbation: Effects on\u00a0Help-Seeking Behaviors in\u00a0Student Generative AI Chatbot Use"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2394-8649","authenticated-orcid":false,"given":"Sam","family":"Gilson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4168-6489","authenticated-orcid":false,"given":"Benyamin","family":"Tabarsi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6500-9976","authenticated-orcid":false,"given":"Tiffany","family":"Barnes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,27]]},"reference":[{"key":"48_CR1","doi-asserted-by":"publisher","unstructured":"Anh-Hoang, D., Tran, V., Nguyen, L.M.: Survey and analysis of hallucinations in large language models: attribution to prompting strategies or model behavior. Front. Artif. Intell. 8 (2025). https:\/\/doi.org\/10.3389\/frai.2025.1622292, https:\/\/www.frontiersin.org\/journals\/artificial-intelligence\/articles\/10.3389\/frai.2025.1622292","DOI":"10.3389\/frai.2025.1622292"},{"key":"48_CR2","doi-asserted-by":"publisher","unstructured":"Becker, B.A., Denny, P., Finnie-Ansley, J., Luxton-Reilly, A., Prather, J., Santos, E.A.: Programming is hard - or at least it used to be: educational opportunities and challenges of AI code generation. In: Proceedings of the 54th ACM Technical Symposium on Computer Science Education vol. 1, pp. 500\u2013506. SIGCSE 2023, Association for Computing Machinery (2023). https:\/\/doi.org\/10.1145\/3545945.3569759","DOI":"10.1145\/3545945.3569759"},{"key":"48_CR3","doi-asserted-by":"publisher","unstructured":"Blikstein, P.: Using learning analytics to assess students\u2019 behavior in open-ended programming tasks. In: Proceedings of the 1st International Conference on Learning Analytics and Knowledge, pp. 110\u2013116. LAK \u201911, Association for Computing Machinery (2011). https:\/\/doi.org\/10.1145\/2090116.2090132","DOI":"10.1145\/2090116.2090132"},{"issue":"4","key":"48_CR4","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1080\/00461520.2014.965823","volume":"49","author":"MT Chi","year":"2014","unstructured":"Chi, M.T., Wylie, R.: The ICAP framework: linking cognitive engagement to active learning outcomes. Educ. Psychol. 49(4), 219\u2013243 (2014)","journal-title":"Educ. Psychol."},{"issue":"6","key":"48_CR5","volume":"4","author":"KU Danyaro","year":"2025","unstructured":"Danyaro, K.U., Abdullahi, S., Abdallah, A.S., Chiroma, H.: Hallucinations in large language models for education: challenges and mitigation. Int. J. Teach. Learn. Educ. 4(6), 639993 (2025)","journal-title":"Int. J. Teach. Learn. Educ."},{"issue":"12","key":"48_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3571730","volume":"55","author":"Z Ji","year":"2023","unstructured":"Ji, Z., et al.: Survey of hallucination in natural language generation. ACM Comput. Surv. 55(12), 1\u201338 (2023)","journal-title":"ACM Comput. Surv."},{"key":"48_CR7","doi-asserted-by":"publisher","unstructured":"Lim, W., Gunasekara, A., Pallant, J., Pallant, J., Pechenkina, E.: Generative AI and the future of education: ragnar\u00f6k or reformation? a paradoxical perspective from management educators. Int. J. Manag. Educ. 21, 100790 (2023). https:\/\/doi.org\/10.1016\/j.ijme.2023.100790","DOI":"10.1016\/j.ijme.2023.100790"},{"key":"48_CR8","doi-asserted-by":"publisher","unstructured":"Liu, S., et al.: Towards long context hallucination detection. In: Findings of the Association for Computational Linguistics: NAACL 2025, pp. 7827\u20137835. Association for Computational Linguistics (2025). https:\/\/doi.org\/10.18653\/v1\/2025.findings-naacl.436","DOI":"10.18653\/v1\/2025.findings-naacl.436"},{"key":"48_CR9","doi-asserted-by":"publisher","unstructured":"Lo, C.K., Hew, K.F., yung Jong, M.S.: The influence of Chatgpt on student engagement: a systematic review and future research agenda. Comput. Educ. 219, 105100 (2024). https:\/\/doi.org\/10.1016\/j.compedu.2024.105100","DOI":"10.1016\/j.compedu.2024.105100"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Long, D., Magerko, B.: What is AI literacy? competencies and design considerations. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1\u201316 (2020)","DOI":"10.1145\/3313831.3376727"},{"key":"48_CR11","doi-asserted-by":"publisher","unstructured":"Mehrotra, S., Degachi, C., Vereschak, O., Jonker, C.M., Tielman, M.L.: A systematic review on fostering appropriate trust in human-ai interaction: trends, opportunities and challenges. ACM J. Responsib. Comput. 1(4) (2024). https:\/\/doi.org\/10.1145\/3696449","DOI":"10.1145\/3696449"},{"key":"48_CR12","doi-asserted-by":"publisher","unstructured":"Merrill, M.A., Tan, M., Gupta, V., Hartvigsen, T., Althoff, T.: Language models still struggle to zero-shot reason about time series. In: Findings of the Association for Computational Linguistics: EMNLP 2024, pp. 3512\u20133533. Association for Computational Linguistics (2024). https:\/\/doi.org\/10.18653\/v1\/2024.findings-emnlp.201","DOI":"10.18653\/v1\/2024.findings-emnlp.201"},{"key":"48_CR13","doi-asserted-by":"crossref","unstructured":"Ng, D.T.K., Leung, J.K.L., Chu, K.W.S., Qiao, M.S.: AI literacy: definition, teaching, evaluation and ethical issues. In: Proceedings of the Association for Information Science and Technology vol. 58, no. 1, pp. 504\u2013509 (2021)","DOI":"10.1002\/pra2.487"},{"key":"48_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2025.100497","volume":"9","author":"M Oliveira","year":"2025","unstructured":"Oliveira, M., Zednik, C., Bombaerts, G., Sadowski, B., Conijn, R.: Assessing students\u2019 drive: a framework to evaluate learning through interactions with generative ai. Comput. Educ. Artif. Intell. 9, 100497 (2025). https:\/\/doi.org\/10.1016\/j.caeai.2025.100497","journal-title":"Comput. Educ. Artif. Intell."},{"key":"48_CR15","doi-asserted-by":"publisher","unstructured":"O\u2019Sullivan, K., Schneider, N.R., Samet, H.: Metric reasoning in large language models. In: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, pp. 501\u2013504. SIGSPATIAL \u201924, Association for Computing Machinery (2024). https:\/\/doi.org\/10.1145\/3678717.3691226","DOI":"10.1145\/3678717.3691226"},{"key":"48_CR16","doi-asserted-by":"crossref","unstructured":"Rismanchian, S., Doroudi, S.: The evolution of research on ai and education across four decades: insights from the aixed framework. Int. J. Artifi. Intell. Educ. (2025). https:\/\/api.semanticscholar.org\/CorpusID:278683087","DOI":"10.1007\/s40593-025-00483-9"},{"key":"48_CR17","doi-asserted-by":"publisher","unstructured":"Tabarsi, B., Basarkar, A., Liu, X., Xu, D.D., Barnes, T.: Merryquery: a trustworthy LLM-powered tool providing personalized support for educators and students. In: Proceedings of the AAAI Conference on Artificial Intelligence vol. 39, no. 28, pp. 29700\u201329702 (2025). https:\/\/doi.org\/10.1609\/aaai.v39i28.35372, https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/35372","DOI":"10.1609\/aaai.v39i28.35372"},{"key":"48_CR18","doi-asserted-by":"crossref","unstructured":"Tian, X., Ozturk, D., Edula, S., Adil, J., Jin, Q., Shi, Y., Barnes, T.: When AI gets it wrong: scaffolding ai hallucination detection for children through chatbot creation. In: Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI 2026) (2026)","DOI":"10.1145\/3772318.3791480"},{"key":"48_CR19","doi-asserted-by":"crossref","unstructured":"Van Brummelen, J., Heng, T., Tabunshchyk, V.: Teaching tech to talk: K-12 conversational artificial intelligence literacy curriculum and development tools. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 15655\u201315663 (2021)","DOI":"10.1609\/aaai.v35i17.17844"},{"key":"48_CR20","doi-asserted-by":"crossref","unstructured":"Vassilev, A., Oprea, A., Fordyce, A., Andersen, H.: Adversarial machine learning: a taxonomy and terminology of attacks and mitigations (2024)","DOI":"10.6028\/NIST.AI.100-2e2023"},{"key":"48_CR21","doi-asserted-by":"publisher","unstructured":"Xu, L., et al.: Evaluating large language models on geospatial tasks: a multiple geospatial task benchmarking study. Int. J. Digit. Earth 18(1), 2480268 (2025). https:\/\/doi.org\/10.1080\/17538947.2025.2480268","DOI":"10.1080\/17538947.2025.2480268"},{"key":"48_CR22","unstructured":"Zhang, J.J., Baker, R.S., McLaren, B.M.: LLM-based approaches for detecting gaming the system in self-explanation. In: Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pp. 91\u201398. National Council on Measurement in Education (NCME) (2025). https:\/\/aclanthology.org\/2025.aimecon-main.10\/"}],"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_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T13:25:53Z","timestamp":1782480353000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-29770-9_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,27]]},"ISBN":["9783032297693","9783032297709"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-29770-9_48","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"}}]}}