{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:31:18Z","timestamp":1743013878982,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031162893"},{"type":"electronic","value":"9783031162909"}],"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\/978-3-031-16290-9_39","type":"book-chapter","created":{"date-parts":[[2022,9,4]],"date-time":"2022-09-04T23:02:47Z","timestamp":1662332567000},"page":"477-484","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["e-FeeD4Mi: Automating Tailored LA-Informed Feedback in\u00a0Virtual Learning Environments"],"prefix":"10.1007","author":[{"given":"Alejandro","family":"Ortega-Arranz","sequence":"first","affiliation":[]},{"given":"Paraskevi","family":"Topali","sequence":"additional","affiliation":[]},{"given":"Juan I.","family":"Asensio-P\u00e9rez","sequence":"additional","affiliation":[]},{"given":"Sara L.","family":"Villagr\u00e1-Sobrino","sequence":"additional","affiliation":[]},{"given":"Alejandra","family":"Mart\u00ednez-Mon\u00e9s","sequence":"additional","affiliation":[]},{"given":"Yannis","family":"Dimitriadis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,5]]},"reference":[{"issue":"4","key":"39_CR1","first-page":"29","volume":"11","author":"T Amiel","year":"2008","unstructured":"Amiel, T., Reeves, T.C.: Design-based research and educational technology: rethinking technology and the research agenda. J. Educ. Technol. Soc. 11(4), 29\u201340 (2008)","journal-title":"J. Educ. Technol. Soc."},{"issue":"16","key":"39_CR2","first-page":"38","volume":"7","author":"MM Al-Bashir","year":"2016","unstructured":"Al-Bashir, M.M., Kabir, M.R., Rahman, I.: The value and effectiveness of feedback in improving students\u2019 learning and professionalizing teaching in higher education. J. Educ. Pract. 7(16), 38\u201341 (2016)","journal-title":"J. Educ. Pract."},{"issue":"1","key":"39_CR3","doi-asserted-by":"publisher","first-page":"81","DOI":"10.3102\/003465430298487","volume":"77","author":"J Hattie","year":"2007","unstructured":"Hattie, J., Timperley, H.: The power of feedback. Rev. Educ. Res. 77(1), 81\u2013112 (2007)","journal-title":"Rev. Educ. Res."},{"key":"39_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1007\/978-3-030-52240-7_26","volume-title":"Artificial Intelligence in Education","author":"E Kochmar","year":"2020","unstructured":"Kochmar, E., Vu, D.D., Belfer, R., Gupta, V., Serban, I.V., Pineau, J.: Automated personalized feedback improves learning gains in an intelligent tutoring system. In: Bittencourt, I.I., Cukurova, M., Muldner, K., Luckin, R., Mill\u00e1n, E. (eds.) AIED 2020. LNCS (LNAI), vol. 12164, pp. 140\u2013146. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-52240-7_26"},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"Lafifi, Y., Boudria, A., Lafifi, A., Cheratia, M.: Intelligent tutoring of learners in e-learning systems and massive open online courses (MOOC). In: Who Runs The World: Data, pp. 176\u2013192. Istanbul University Press (2020)","DOI":"10.26650\/B\/ET06.2020.011.10"},{"issue":"1","key":"39_CR6","first-page":"34","volume":"15","author":"N Leibold","year":"2015","unstructured":"Leibold, N., Schwarz, L.M.: The art of giving online feedback. J. Effective Teach. 15(1), 34\u201346 (2015)","journal-title":"J. Effective Teach."},{"key":"39_CR7","series-title":"Studies in Systems, Decision and Control","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/978-3-319-52977-6_5","volume-title":"Learning Analytics: Fundaments, Applications, and Trends","author":"DY-T Liu","year":"2017","unstructured":"Liu, D.Y.-T., Bartimote-Aufflick, K., Pardo, A., Bridgeman, A.J.: Data-driven personalization of student learning support in higher education. In: Pe\u00f1a-Ayala, A. (ed.) Learning Analytics: Fundaments, Applications, and Trends. SSDC, vol. 94, pp. 143\u2013169. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-52977-6_5"},{"issue":"4","key":"39_CR8","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1109\/TLT.2018.2868673","volume":"12","author":"K Mangaroska","year":"2019","unstructured":"Mangaroska, K., Giannakos, M.: Learning analytics for learning design: a systematic literature review of analytics-driven design to enhance learning. IEEE Trans. Learn. Technol. 12(4), 516\u2013534 (2019)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"39_CR9","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/978-1-4614-3185-5_33","volume-title":"Handbook of Research on Educational Communications and Technology","author":"EK Molloy","year":"2014","unstructured":"Molloy, E.K., Boud, D.: Feedback models for learning, teaching and performance. In: Spector, J.M., Merrill, M.D., Elen, J., Bishop, M.J. (eds.) Handbook of Research on Educational Communications and Technology, pp. 413\u2013424. Springer, New York (2014). https:\/\/doi.org\/10.1007\/978-1-4614-3185-5_33"},{"issue":"3","key":"39_CR10","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1080\/02602938.2017.1356905","volume":"43","author":"A Pardo","year":"2018","unstructured":"Pardo, A.: A feedback model for data-rich learning experiences. Assess. Eval. High. Educ. 43(3), 428\u2013438 (2018)","journal-title":"Assess. Eval. High. Educ."},{"issue":"3","key":"39_CR11","first-page":"235","volume":"5","author":"A Pardo","year":"2018","unstructured":"Pardo, A., et al.: OnTask: delivering data-informed, personalized learning support actions. J. Learn. Anal. 5(3), 235\u2013249 (2018)","journal-title":"J. Learn. Anal."},{"issue":"12","key":"39_CR12","first-page":"46","volume":"81","author":"FF Reichheld","year":"2003","unstructured":"Reichheld, F.F.: The one number you need to grow. Harv. Bus. Rev. 81(12), 46\u201355 (2003)","journal-title":"Harv. Bus. Rev."},{"key":"39_CR13","doi-asserted-by":"crossref","unstructured":"Reza, M., Kim, J., Bhattacharjee, A., Rafferty, A.N., Williams, J.J.: The MOOClet framework: unifying experimentation, dynamic improvement, and personalization in online courses. In: Proceedings of the 8th ACM Conference on Learning @ Scale, pp. 15\u201326 (2021)","DOI":"10.1145\/3430895.3460128"},{"key":"39_CR14","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez-Triana, M.J., Prieto, L.P., Mart\u00ednez-Mon\u00e9s, A., Asensio-P\u00e9rez, J.I., Dimitriadis, Y.: The teacher in the loop: customizing multimodal learning analytics for blended learning. In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge, pp. 417\u2013426 (2018)","DOI":"10.1145\/3170358.3170364"},{"key":"39_CR15","doi-asserted-by":"crossref","unstructured":"Shibani, A., Knight, S., Shum, S.B.: Contextualizable learning analytics design: a generic model and writing analytics evaluations. In: ACM International Conference Proceeding Series, pp. 210\u2013219 (2019)","DOI":"10.1145\/3303772.3303785"},{"key":"39_CR16","unstructured":"Topali, P., et al.: Identifying learner problems framed within MOOC learning designs. In: 29th International Conference on Computers in Education, pp. 297\u2013302 (2021)"},{"key":"39_CR17","doi-asserted-by":"crossref","unstructured":"Topali, P., et al.: Supporting instructors in the design of actionable feedback for MOOCs. In: 2022 IEEE Global Engineering Education Conference, pp. 1881\u20131888 (2022)","DOI":"10.1109\/EDUCON52537.2022.9766546"},{"key":"39_CR18","doi-asserted-by":"crossref","unstructured":"Wiley, K.J., Dimitriadis, Y., Bradford, A., Linn, M.C.: From theory to action: developing and evaluating learning analytics for learning design. In: Proceedings of the 10th International Conference on Learning Analytics and Knowledge, pp. 569\u2013578 (2020)","DOI":"10.1145\/3375462.3375540"}],"container-title":["Lecture Notes in Computer Science","Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16290-9_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,4]],"date-time":"2022-09-04T23:15:16Z","timestamp":1662333316000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16290-9_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031162893","9783031162909"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16290-9_39","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":"5 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EC-TEL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Technology Enhanced Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toulouse","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","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":"12 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ectel2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ea-tel.eu\/ectel2022","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":"109","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":"30","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":"31","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":"28% - 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":"3,17","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":"1,5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}