{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T06:45:58Z","timestamp":1778049958594,"version":"3.51.4"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T00:00:00Z","timestamp":1560729600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T00:00:00Z","timestamp":1560729600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Educ Inf Technol"],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1007\/s10639-019-09935-x","type":"journal-article","created":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T07:02:42Z","timestamp":1560754962000},"page":"3467-3481","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Data science syllabi measuring its content"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2621-0906","authenticated-orcid":false,"given":"Alon","family":"Friedman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,17]]},"reference":[{"key":"9935_CR1","first-page":"37","volume-title":"Machine learning, 6(1), 37\u201366","author":"DW Aha","year":"1991","unstructured":"Aha, D. W., Kibler, D., & Albert, M. K. (1991). Instance-based learning algorithms. In Machine learning, 6(1), 37\u201366 (Vol. 6, pp. 37\u201366). Heidelberg: Berlin."},{"key":"9935_CR2","unstructured":"Ambrose, S.A., Bridges, M.W., DiPietro, M., Lovett, M.C. and Norman, M.K. (2010). How learning works: Seven research-based principles for smart teaching. John Wiley & Sons."},{"key":"9935_CR3","doi-asserted-by":"crossref","unstructured":"Anderson, P., Bowring, J., McCauley, R., Pothering, G., & Starr, C. (2014, March). An undergraduate degree in data science: Curriculum and a decade of implementation experience. In Proceedings of the 45th ACM technical symposium on Computer science education (pp. 145\u2013150). ACM.","DOI":"10.1145\/2538862.2538936"},{"key":"9935_CR4","doi-asserted-by":"crossref","unstructured":"Banihashem, S. K., Aliabadi, K., Ardakani, S. P., Delaver, A., & Ahmadabadi, M. N. (2018). Learning analytics: A critical literature review. Interdisciplinary Journal of Virtual Learning in Medical Sciences (In press), 9.","DOI":"10.5812\/ijvlms.63024"},{"issue":"4","key":"9935_CR5","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.2307\/41703503","volume":"36","author":"H Chen","year":"2012","unstructured":"Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165\u20131188.","journal-title":"MIS Quarterly"},{"key":"9935_CR6","first-page":"537","volume-title":"European conference on principles of data mining and knowledge discovery","author":"J Dem\u0161ar","year":"2004","unstructured":"Dem\u0161ar, J., Zupan, B., Leban, G., & Curk, T. (2004, September). Orange: From experimental machine learning to interactive data mining. In European conference on principles of data mining and knowledge discovery (pp. 537\u2013539). Berlin, Heidelberg: Springer."},{"issue":"12","key":"9935_CR7","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1145\/2500499","volume":"56","author":"V Dhar","year":"2013","unstructured":"Dhar, V. (2013). Data science and prediction. Communications of the ACM, 56(12), 64\u201373.","journal-title":"Communications of the ACM"},{"issue":"4","key":"9935_CR8","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1111\/rssa.12132","volume":"178","author":"PJ Diggle","year":"2015","unstructured":"Diggle, P. J. (2015). Statistics: A data science for the 21st century. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178(4), 793\u2013813.","journal-title":"Journal of the Royal Statistical Society: Series A (Statistics in Society)"},{"key":"9935_CR9","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1353\/jge.2001.0003","volume":"50","author":"MB Eberly","year":"2001","unstructured":"Eberly, M. B., Newton, S. E., & Wiggins, R. A. (2001). The syllabus as a tool for student-centered learning. The Journal of General Education, 50, 56\u201374.","journal-title":"The Journal of General Education"},{"key":"9935_CR10","unstructured":"Fayyad, U. M., Piatetsky-Shapiro, G., & Smyth, P. (1996, August). Knowledge discovery and data mining: Towards a unifying framework. In KDD (Vol. 96, pp. 82\u201388)."},{"issue":"5","key":"9935_CR11","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MITP.2014.78","volume":"16","author":"J Fiaidhi","year":"2014","unstructured":"Fiaidhi, J. (2014). The next step for learning analytics. IT Professional, 16(5), 4\u20138.","journal-title":"IT Professional"},{"key":"9935_CR12","volume-title":"Creating significant learning experiences: An integrated approach to designing college courses","author":"LD Fink","year":"2013","unstructured":"Fink, L. D. (2013). Creating significant learning experiences: An integrated approach to designing college courses (2nd ed.). San Francisco, CA: Jossey-Bass.","edition":"2"},{"issue":"5","key":"9935_CR13","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1177\/1052562913504763","volume":"38","author":"CJ Fornaciari","year":"2003","unstructured":"Fornaciari, C. J., & Lund Dean, K. (2003). The 21st-century syllabus: From pedagogy to andragogy. Journal of Management Education, 38(5), 701\u2013723.","journal-title":"Journal of Management Education"},{"issue":"5","key":"9935_CR14","first-page":"135","volume":"26","author":"A Friedman","year":"2017","unstructured":"Friedman, A. (2017). Measuring the promise of big data syllabi. Technology, Pedagogy and Education, 26(5), 135\u2013148.","journal-title":"Technology, Pedagogy and Education"},{"key":"9935_CR15","unstructured":"Grinstein, U. M. F. G. G., & Wierse, A. (2002). Information visualization in data mining and knowledge discovery. Morgan Kaufmann."},{"key":"9935_CR16","volume-title":"Tools for teaching","author":"B Gross Davis","year":"1993","unstructured":"Gross Davis, B. (1993). Tools for teaching. San Francisco, CA: Jossey-Bass."},{"issue":"4","key":"9935_CR17","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1080\/00031305.2015.1077729","volume":"69","author":"J Hardin","year":"2015","unstructured":"Hardin, J., Hoerl, R., Horton, N. J., Nolan, D., Baumer, B., Hall-Holt, O., Murrell, P., Peng, R., Roback, P., Temple Lang, D., & Ward, M. D. (2015). Data science in statistics curricula: Preparing students to \u201cthink with data.\u201d. The American Statistician, 69(4), 343\u2013353.","journal-title":"The American Statistician"},{"key":"9935_CR18","doi-asserted-by":"crossref","unstructured":"Howe, B., Franklin, M., Haas, L., Kraska, T., & Ullman, J. (2017, April). Data science education: We're missing the boat, again. In 2017 IEEE 33rd international conference on data engineering (ICDE) (pp. 1473\u20131474). IEEE.","DOI":"10.1109\/ICDE.2017.215"},{"key":"9935_CR19","doi-asserted-by":"crossref","unstructured":"James, G., Witten, D., Hastie, T. & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112). New York: Springer.","DOI":"10.1007\/978-1-4614-7138-7"},{"issue":"6245","key":"9935_CR20","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1126\/science.aaa8415","volume":"349","author":"MI Jordan","year":"2015","unstructured":"Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255\u2013260.","journal-title":"Science"},{"key":"9935_CR21","doi-asserted-by":"crossref","unstructured":"Konkol'ov\u00e1, V., & Parali\u010d, J. (2018, November). Active learning in data science education. In 2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA) (pp. 285\u2013290). IEEE.","DOI":"10.1109\/ICETA.2018.8572219"},{"issue":"5","key":"9935_CR22","first-page":"147","volume":"8","author":"CB Kuhlmann","year":"1917","unstructured":"Kuhlmann, C. B. (1917). Minnesota History Teachers' Syllabus. The Social Studies, 8(5), 147.","journal-title":"The Social Studies"},{"key":"9935_CR23","unstructured":"Leek, J. (2013). Six types of analyses every data science should know [blog post]. Retrieved July 11, 2018."},{"issue":"5","key":"9935_CR24","first-page":"31","volume":"46","author":"P Long","year":"2011","unstructured":"Long, P., & Siemens, G. (2011). Penetrating the fog: Analytics in learning and education. Educause Review Online, 46(5), 31\u201340.","journal-title":"Educause Review Online"},{"key":"9935_CR25","first-page":"158","volume-title":"Teaching tips: Strategies, research, and theory for college and university teachers","author":"WJ McKeachie","year":"1999","unstructured":"McKeachie, W. J. (1999). Peer learning, collaborative learning, cooperative learning. In Teaching tips: Strategies, research, and theory for college and university teachers (pp. 158\u2013166)."},{"key":"9935_CR26","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/0361-476X(78)90037-1","volume":"3","author":"WJ McKeachie","year":"1978","unstructured":"McKeachie, W. J., Lin, Y. G., & Mendelson, C. N. (1978). A small study assessing teacher effectiveness: Does learning last? Contemporary Educational Psychology, 3, 352\u2013357.","journal-title":"Contemporary Educational Psychology"},{"issue":"11","key":"9935_CR27","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1145\/319382.319388","volume":"42","author":"Tom M. Mitchell","year":"1999","unstructured":"Mitchell, T. M. (1999). Machine learning and data mining. Communications of the ACM, 42(11).","journal-title":"Communications of the ACM"},{"key":"9935_CR28","doi-asserted-by":"crossref","unstructured":"Napoli, P. M., & Karaganis, J. (2010). On making public policy with publicly available data: The case of US communications policymaking. Government Information Quarterly, 27(4), 384\u2013391","DOI":"10.1016\/j.giq.2010.06.005"},{"key":"9935_CR29","unstructured":"O'Neil, C., & Schutt, R. (2013). Doing data science: Straight talk from the frontline. O'Reilly Media, Inc."},{"key":"9935_CR30","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1002\/tia2.20004","volume":"33","author":"MS Palmer","year":"2014","unstructured":"Palmer, M. S., Bach, D. J., & Streifer, A. C. (2014). Measuring the promise: A learning-focused syllabus rubric. To Improve the Academy, 33, 14\u201336.","journal-title":"To Improve the Academy"},{"issue":"3","key":"9935_CR31","first-page":"9","volume":"16","author":"AG Picciano","year":"2012","unstructured":"Picciano, A. G. (2012). The evaluation of big data and learning analytics in American higher education. Journal of Asynchronous Learning Networks, 16(3), 9\u201320.","journal-title":"Journal of Asynchronous Learning Networks"},{"key":"9935_CR32","unstructured":"Richlin, L. (2006). Blueprint for learning: Construction college courses to facilitate, assess, and document learning. Stylus Publishing, LLC."},{"key":"9935_CR33","doi-asserted-by":"crossref","unstructured":"Robinson, P. (2001). Task complexity, cognitive resources, and syllabus design: A triadic framework for examining task influences on SLA. Cognition and Second Language Instruction, 288.","DOI":"10.1017\/CBO9781139524780.012"},{"key":"9935_CR34","volume-title":"An introduction to data science","author":"JS Saltz","year":"2017","unstructured":"Saltz, J. S., & Stanton, J. M. (2017). An introduction to data science. Thousand Oaks, CA: SAGE Publications."},{"key":"9935_CR35","unstructured":"Van Barneveld, A., Arnold, K.E., & Campbell, J.P. (2012). Analytics in higher education: Establishing a common language. EDUCAUSE Learning Initiative, 1(1), l-ll."},{"key":"9935_CR36","volume-title":"The ELT curriculum: Design, innovation and management","author":"RV White","year":"1988","unstructured":"White, R. V. (1988). The ELT curriculum: Design, innovation and management. Oxford: Blackwell."},{"key":"9935_CR37","volume-title":"Notional syllabuses","author":"DA Wilkins","year":"1976","unstructured":"Wilkins, D. A. (1976). Notional syllabuses. Oxford: Oxford University Press."},{"key":"9935_CR38","unstructured":"Wu, C. F. J. (1997). Statistics = data science. Retrieved July 11, 2018."},{"issue":"1","key":"9935_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-007-0114-2","volume":"14","author":"X Wu","year":"2008","unstructured":"Wu, X., Kumar, V., Quinlan, J. R., Ghosh, J., Yang, Q., Motoda, H., et al. (2008). Top 10 algorithms in data mining. Knowledge and Information Systems, 14(1), 1\u201337.","journal-title":"Knowledge and Information Systems"}],"container-title":["Education and Information Technologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10639-019-09935-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10639-019-09935-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10639-019-09935-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T13:20:52Z","timestamp":1596115252000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10639-019-09935-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,17]]},"references-count":39,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2019,11]]}},"alternative-id":["9935"],"URL":"https:\/\/doi.org\/10.1007\/s10639-019-09935-x","relation":{},"ISSN":["1360-2357","1573-7608"],"issn-type":[{"value":"1360-2357","type":"print"},{"value":"1573-7608","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6,17]]},"assertion":[{"value":"11 December 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 June 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}