{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T22:49:15Z","timestamp":1774306155470,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030864354","type":"print"},{"value":"9783030864361","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-86436-1_5","type":"book-chapter","created":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T12:12:16Z","timestamp":1631103136000},"page":"52-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Interactive and Explainable Advising Dashboard Opens the Black Box of Student Success Prediction"],"prefix":"10.1007","author":[{"given":"Hanne","family":"Scheers","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0624-3305","authenticated-orcid":false,"given":"Tinne","family":"De Laet","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,9]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"52138","DOI":"10.1177\/0149206321997910","volume":"6","author":"A Adadi","year":"2018","unstructured":"Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on eXplainable Artificial Intelligence (XAI). IEEE Access 6, 52138\u201352160 (2018). https:\/\/doi.org\/10.1177\/0149206321997910","journal-title":"IEEE Access"},{"issue":"4","key":"5_CR2","doi-asserted-by":"publisher","first-page":"2357","DOI":"10.1007\/s10639-019-09873-8","volume":"24","author":"S Al-Sudani","year":"2019","unstructured":"Al-Sudani, S., Palaniappan, R.: Predicting students\u2019 final degree classification using an extended profile. Educ. Inf. Technol. 24(4), 2357\u20132369 (2019). https:\/\/doi.org\/10.1007\/s10639-019-09873-8","journal-title":"Educ. Inf. Technol."},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"33132","DOI":"10.1109\/ACCESS.2021.3061368","volume":"9","author":"R Alamri","year":"2021","unstructured":"Alamri, R., Alharbi, B.: Explainable student performance prediction models: a systematic review. IEEE Access 9, 33132\u201333143 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3061368","journal-title":"IEEE Access"},{"key":"5_CR4","unstructured":"Brooke, J.: SUS - a quick and dirty usability scale (1996)"},{"issue":"6","key":"5_CR5","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1080\/02602938.2019.1689546","volume":"45","author":"T Broos","year":"2020","unstructured":"Broos, T., Pinxten, M., Margaux, D., Verbert, K., De Laet, T.: Learning dashboards at scale: early warning and overall first year experience. Assess. Eval. High. Educ. 45(6), 855\u2013874 (2020). https:\/\/doi.org\/10.1080\/02602938.2019.1689546","journal-title":"Assess. Eval. High. Educ."},{"issue":"3","key":"5_CR6","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1109\/TLT.2017.2720670","volume":"11","author":"S Charleer","year":"2018","unstructured":"Charleer, S., Moere, A.V., Klerkx, J., Verbert, K., De Laet, T.: Learning analytics dashboards to support adviser-student dialogue. IEEE Trans. Learn. Technol. 11(3), 389\u2013399 (2018). https:\/\/doi.org\/10.1109\/TLT.2017.2720670","journal-title":"IEEE Trans. Learn. Technol."},{"key":"5_CR7","doi-asserted-by":"publisher","unstructured":"Davis, B., Glenski, M., Sealy, W., Arendt, D.: Measure utility, gain trust: practical advice for XAI researchers. In: 2020 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), pp. 1\u20138 (2020). https:\/\/doi.org\/10.1109\/TREX51495.2020.00005","DOI":"10.1109\/TREX51495.2020.00005"},{"issue":"4","key":"5_CR8","doi-asserted-by":"publisher","first-page":"1002","DOI":"10.1111\/bjet.12962","volume":"51","author":"T De Laet","year":"2020","unstructured":"De Laet, T., Millecamp, M., Ortiz-Rojas, M., Jimenez, A., Maya, R., Verbert, K.: Adoption and impact of a learning analytics dashboard supporting the advisor-student dialogue in a higher education institute in Latin America. BJET 51(4), 1002\u20131018 (2020). https:\/\/doi.org\/10.1111\/bjet.12962","journal-title":"BJET"},{"key":"5_CR9","unstructured":"Doshi-Velez, F., Kim, B.: Towards a rigorous science of interpretable machine learning. arXiv e-prints arXiv:1702.08608 (2017)"},{"key":"5_CR10","doi-asserted-by":"publisher","unstructured":"Essa, A., Ayad, H.: Student success system: risk analytics and data visualization using ensembles of predictive models. In: Proceedings of 2nd International Conference on Learning Analytics and Knowledge, LAK 2012, pp. 158\u2013161. Association for Computing Machinery, New York (2012). https:\/\/doi.org\/10.1145\/2330601.2330641","DOI":"10.1145\/2330601.2330641"},{"key":"5_CR11","doi-asserted-by":"publisher","unstructured":"Gilpin, L.H., Bau, D., Yuan, B.Z., Bajwa, A., Specter, M., Kagal, L.: Explaining explanations: an overview of interpretability of machine learning. In: 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, pp. 80\u201389 (2018). https:\/\/doi.org\/10.1109\/DSAA.2018.00018","DOI":"10.1109\/DSAA.2018.00018"},{"key":"5_CR12","doi-asserted-by":"publisher","first-page":"105826","DOI":"10.1016\/j.chb.2018.12.004","volume":"107","author":"F Guti\u00e9rrez","year":"2020","unstructured":"Guti\u00e9rrez, F., Seipp, K., Ochoa, X., Chiluiza, K., De Laet, T., Verbert, K.: LADA: a learning analytics dashboard for academic advising. Comput. Hum. Behav. 107, 105826 (2020). https:\/\/doi.org\/10.1016\/j.chb.2018.12.004","journal-title":"Comput. Hum. Behav."},{"key":"5_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/978-3-030-57717-9_9","volume-title":"Addressing Global Challenges and Quality Education","author":"I Hilliger","year":"2020","unstructured":"Hilliger, I., et al.: For learners, with learners: identifying indicators for an academic advising dashboard for students. In: Alario-Hoyos, C., Rodr\u00edguez-Triana, M.J., Scheffel, M., Arnedillo-S\u00e1nchez, I., Dennerlein, S.M. (eds.) EC-TEL 2020. LNCS, vol. 12315, pp. 117\u2013130. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-57717-9_9"},{"key":"5_CR14","unstructured":"Kommiya Mothilal, R.: Statistical modeling of students\u2019 performance in an open-admission bachelor program in Flanders (2018)"},{"issue":"2","key":"5_CR15","doi-asserted-by":"publisher","first-page":"138","DOI":"10.18608\/jla.2015.22.11","volume":"2","author":"A van Leeuwen","year":"2015","unstructured":"van Leeuwen, A.: Learning analytics to support teachers during synchronous CSCL: balancing between overview and overload. J. Learn. Anal. 2(2), 138\u2013162 (2015). https:\/\/doi.org\/10.18608\/jla.2015.22.11","journal-title":"J. Learn. Anal."},{"issue":"1","key":"5_CR16","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/s10212-017-0361-x","volume":"34","author":"M Pinxten","year":"2017","unstructured":"Pinxten, M., Van Soom, C., Peeters, C., De Laet, T., Langie, G.: At-risk at the gate: prediction of study success of first-year science and engineering students in an open-admission university in Flanders\u2014any incremental validity of study strategies? Eur. J. Psychol. Educ. 34(1), 45\u201366 (2017). https:\/\/doi.org\/10.1007\/s10212-017-0361-x","journal-title":"Eur. J. Psychol. Educ."},{"key":"5_CR17","doi-asserted-by":"publisher","unstructured":"Ribeiro, M., Singh, S., Guestrin, C.: \u201cWhy should i trust you?\u201d: explaining the predictions of any classifier. In: Proceedings of 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations. Association for Computational Linguistics (2016). https:\/\/doi.org\/10.18653\/v1\/n16-3020","DOI":"10.18653\/v1\/n16-3020"},{"key":"5_CR18","unstructured":"Scheffel, M.: Evaluation framework for LA (2017). http:\/\/www.laceproject.eu\/evaluation-framework-for-la\/. Accessed 06 May 2020"},{"key":"5_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/978-3-319-66610-5_16","volume-title":"Data Driven Approaches in Digital Education","author":"M Schmitz","year":"2017","unstructured":"Schmitz, M., van Limbeek, E., Greller, W., Sloep, P., Drachsler, H.: Opportunities and challenges in using learning analytics in learning design. In: Lavou\u00e9, \u00c9., Drachsler, H., Verbert, K., Broisin, J., P\u00e9rez-Sanagust\u00edn, M. (eds.) EC-TEL 2017. LNCS, vol. 10474, pp. 209\u2013223. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66610-5_16"},{"key":"5_CR20","doi-asserted-by":"publisher","unstructured":"Spinner, T., Schlegel, U., Schafer, H., El-Assady, M.: explAIner: a visual analytics framework for interactive and explainable machine learning. IEEE Trans. Vis. Comput. Graph. 1 (2019). https:\/\/doi.org\/10.1109\/tvcg.2019.2934629","DOI":"10.1109\/tvcg.2019.2934629"},{"key":"5_CR21","unstructured":"Vanderoost, J., et al.: Engineering and science positioning tests in Flanders: powerful predictors for study success? In: Proceedings of 43rd SEFI Conference 2015, pp. 1\u20138. SEFI, Brussels (2015)"},{"key":"5_CR22","unstructured":"Weinstein, C.E., Palmer, D.R.: LASSI - Learning and Study Strategies Inventory. 2nd edn. (2002). www.collegelassi.com\/lassi\/. Accessed 22 May 2020"},{"key":"5_CR23","doi-asserted-by":"publisher","unstructured":"Yin, M., Wortman Vaughan, J., Wallach, H.: Understanding the effect of accuracy on trust in machine learning models. In: Proceedings of 2019 CHI Conference, pp. 1\u201312. Association for Computing Machinery, New York (2019). https:\/\/doi.org\/10.1145\/3290605.3300509","DOI":"10.1145\/3290605.3300509"}],"container-title":["Lecture Notes in Computer Science","Technology-Enhanced Learning for a Free, Safe, and Sustainable World"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86436-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,3]],"date-time":"2022-05-03T16:07:49Z","timestamp":1651594069000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86436-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030864354","9783030864361"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86436-1_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 September 2021","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ectel2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ea-tel.eu\/ectel2021","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":"98","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":"21","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":"28","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":"21% - 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","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}