{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T05:15:55Z","timestamp":1742966155219,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031116438"},{"type":"electronic","value":"9783031116445"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-11644-5_1","type":"book-chapter","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T14:18:49Z","timestamp":1658845129000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["How to\u00a0Give Imperfect Automated Guidance to\u00a0Learners: A Case-Study in\u00a0Workplace Learning"],"prefix":"10.1007","author":[{"given":"Jacob","family":"Whitehill","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amitai","family":"Erfanian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Ahuja, K., et al.: EduSense: practical classroom sensing at scale. In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 3, no. 3, pp. 1\u201326 (2019)","DOI":"10.1145\/3351229"},{"key":"1_CR2","doi-asserted-by":"publisher","first-page":"108245","DOI":"10.1016\/j.patcog.2021.108245","volume":"122","author":"S Akcay","year":"2022","unstructured":"Akcay, S., Breckon, T.: Towards automatic threat detection: a survey of advances of deep learning within X-ray security imaging. Pattern Recogn. 122, 108245 (2022)","journal-title":"Pattern Recogn."},{"key":"1_CR3","unstructured":"Chen, M., et al.: Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374 (2021)"},{"key":"1_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1007\/978-3-030-78292-4_16","volume-title":"Artificial Intelligence in Education","author":"S Hossain","year":"2021","unstructured":"Hossain, S., Kamzin, A., Amperayani, V.N.S.A., Paudyal, P., Banerjee, A., Gupta, S.K.S.: Engendering trust in automated feedback: a two step comparison of\u00a0feedbacks in gesture based learning. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds.) AIED 2021. LNCS (LNAI), vol. 12748, pp. 190\u2013202. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-78292-4_16"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Hsu, S., Li, T.W., Zhang, Z., Fowler, M., Zilles, C., Karahalios, K.: Attitudes surrounding an imperfect AI autograder. In: CHI Conference on Human Factors in Computing Systems (2021)","DOI":"10.1145\/3411764.3445424"},{"key":"1_CR6","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1207\/S15327566IJCE0401_04","volume":"4","author":"JY Jian","year":"2000","unstructured":"Jian, J.Y., Bisantz, A.M., Drury, C.G.: Foundations for an empirically determined scale of trust in automated systems. Int. J. Cogn. Ergon. 4, 53\u201371 (2000)","journal-title":"Int. J. Cogn. Ergon."},{"key":"1_CR7","unstructured":"Karumbaiah, S., Lizarralde, R., Allessio, D., Woolf, B., Arroyo, I., Wixon, N.: Addressing student behavior and affect with empathy and growth mindset. International Educational Data Mining Society (2017)"},{"key":"1_CR8","first-page":"1","volume":"15","author":"RT Kneusel","year":"2017","unstructured":"Kneusel, R.T., Mozer, M.C.: Improving human-machine cooperative visual search with soft highlighting. ACM Trans. Appl. Percept. (TAP) 15, 1\u201321 (2017)","journal-title":"ACM Trans. Appl. Percept. (TAP)"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Kocielnik, R., Amershi, S., Bennett, P.N.: Will you accept an imperfect AI? Exploring designs for adjusting end-user expectations of AI systems. In: CHI Conference on Human Factors in Computing Systems (2019)","DOI":"10.1145\/3290605.3300641"},{"issue":"1","key":"1_CR10","doi-asserted-by":"publisher","first-page":"42","DOI":"10.3102\/0034654315581420","volume":"86","author":"JA Kulik","year":"2016","unstructured":"Kulik, J.A., Fletcher, J.: Effectiveness of intelligent tutoring systems: a meta-analytic review. Rev. Educ. Res. 86(1), 42\u201378 (2016)","journal-title":"Rev. Educ. Res."},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Kyriacou, H., Ramakrishnan, A., Whitehill, J.: Learning to work in a materials recovery facility: can humans and machines learn from each other? In: Learning Analytics and Knowledge (LAK) Conference, pp. 456\u2013461 (2021)","DOI":"10.1145\/3448139.3448183"},{"issue":"3","key":"1_CR12","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.tics.2014.12.007","volume":"19","author":"AR Landrum","year":"2015","unstructured":"Landrum, A.R., Eaves, B.S., Jr., Shafto, P.: Learning to trust and trusting to learn: a theoretical framework. Trends Cogn. Sci. 19(3), 109\u2013111 (2015)","journal-title":"Trends Cogn. Sci."},{"key":"1_CR13","unstructured":"Nie, A., Brunskill, E., Piech, C.: Play to grade: testing coding games as classifying Markov decision process. In: Neural Information Processing Systems, vol. 34 (2021)"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Randhawa, G.K., Jackson, M.: The role of artificial intelligence in learning and professional development for healthcare professionals. In: Healthcare Management Forum, vol. 33, pp. 19\u201324. SAGE Publications, Los Angeles (2020)","DOI":"10.1177\/0840470419869032"},{"key":"1_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/978-3-030-78292-4_30","volume-title":"Artificial Intelligence in Education","author":"D Schlotterbeck","year":"2021","unstructured":"Schlotterbeck, D., Uribe, P., Jim\u00e9nez, A., Araya, R., van der Molen Moris, J., Caballero, D.: TARTA: teacher activity recognizer from transcriptions and audio. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds.) AIED 2021. LNCS (LNAI), vol. 12748, pp. 369\u2013380. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-78292-4_30"},{"key":"1_CR16","unstructured":"Schmidt, R.A., Wrisberg, C.A.: Motor Learning and Performance: A Situation-Based Learning Approach. Human Kinetics (2008)"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Zylich, B., Whitehill, J.: Noise-robust key-phrase detectors for automated classroom feedback. In: International Conference on Acoustics, Speech and Signal Processing (2020)","DOI":"10.1109\/ICASSP40776.2020.9053173"}],"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\/978-3-031-11644-5_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:46:02Z","timestamp":1710359162000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-11644-5_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031116438","9783031116445"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-11644-5_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"27 July 2022","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":"Durham","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2022.webspace.durham.ac.uk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"243","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}