{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T16:34:13Z","timestamp":1779122053767,"version":"3.51.4"},"reference-count":38,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2020,6,4]],"date-time":"2020-06-04T00:00:00Z","timestamp":1591228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ITSE"],"published-print":{"date-parts":[[2020,6,4]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>This paper aims to present a review of case studies on the use of learning analytics in Science, Technology, Engineering, (Arts), and Mathematics (or STE[A]M) education. It covers the features and trends of learning analytics practices as revealed in case studies.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>A total of 34 case studies published from 2013 to 2018 reporting relevant learning analytics practices were collected from Scopus and Google Scholar for analysis. The features and trends of practices were identified through a comparison of the first (2013\u20132015) and the second period (2016\u20132018).<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The results showed an increasing adoption of learning analytics in STE(A)M education, particularly in the USA and European countries and at the tertiary level. More specific types of data have been collected for the learning analytics practices, and the data related to students\u2019 learning processes has also been more frequently used. The types of STE(A)M learning practices have become more diversified, with technology enhancement features increasingly introduced. The outcomes of the case studies reflect the overall benefits of learning analytics and address the specific needs of STE(A)M education. There have also been fewer types of limitations encountered in the learning analytics practices over the years, with unknown correlation among variables, small sample size and limited data being the major types.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This study reveals the implementation of learning analytics in relation to the contexts and needs of STE(A)M education. The findings also suggest future work for examining the adoption of learning analytics to cope with the development of STE(A)M and, in particular, how the successful experience of learning analytics in other disciplines could be transferred to STE(A)M.<\/jats:p><\/jats:sec>","DOI":"10.1108\/itse-11-2019-0073","type":"journal-article","created":{"date-parts":[[2020,6,4]],"date-time":"2020-06-04T07:07:05Z","timestamp":1591254425000},"page":"323-335","source":"Crossref","is-referenced-by-count":24,"title":["Trends of learning analytics in STE(A)M education: a review of case studies"],"prefix":"10.1108","volume":"17","author":[{"given":"Kam-Cheong","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Billy Tak-Ming","family":"Wong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020081213414886100_ref001","unstructured":"Australian Council of Learned Academies (2013), \u201cSTEM country comparisons\u201d, available at: http:\/\/hdl.voced.edu.au\/10707\/256943 (accessed 20 October 2019)."},{"issue":"3","key":"key2020081213414886100_ref002","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1109\/TLT.2016.2582164","article-title":"A novel group engagement score for virtual learning environments","volume":"10","year":"2017","journal-title":"IEEE Transactions on Learning Technologies"},{"key":"key2020081213414886100_ref003","unstructured":"Chen, X. (2013), \u201cSTEM attrition: college students\u2019 paths into and out of STEM fields\u201d, Statistical Analysis Report NCES 2014-001, National Center for Education Statistics, available at: https:\/\/ies.ed.gov\/pubsearch\/pubsinfo.asp?pubid=\u200c2014001rev (accessed 20 October 2019)."},{"key":"key2020081213414886100_ref004","unstructured":"Committee on STEM Education (2018), \u201cCharting a course for success: America\u2019s strategy for STEM education\u201d, National Science and Technology Council, available at: www.whitehouse.gov\/wp-content\/uploads\/2018\/12\/\u200cSTEM-Education-\u200cStrategic-Plan-2018.pdf (accessed 20 October 2019)."},{"issue":"5","key":"key2020081213414886100_ref005","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1111\/jcal.12270","article-title":"Predicting student performance in a blended MOOC","volume":"34","year":"2018","journal-title":"Journal of Computer Assisted Learning"},{"key":"key2020081213414886100_ref006","first-page":"17","article-title":"Machine and human observable differences in groups\u2019 collaborative problem-solving behaviours","volume-title":"Proceedings of the 12th European Conference on Technology Enhanced Learning","year":"2017"},{"issue":"1","key":"key2020081213414886100_ref007","first-page":"82","article-title":"Identifying consistent variables in a heterogeneous data set: evaluation of a web-based pre-course in mathematics","volume":"15","year":"2017","journal-title":"Electronic Journal of e-Learning"},{"key":"key2020081213414886100_ref008","unstructured":"Education Council (2015), \u201cNational STEM school education strategy\u201d, available at: www.educationcouncil.edu.au\/site\/DefaultSite\/filesystem\/documents\/National%20STEM%20School%20Education%20Strategy.pdf (accessed 20 October 2019)."},{"key":"key2020081213414886100_ref009","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.iheduc.2015.10.002","article-title":"Learning analytics should not promote one size fits all: the effects of instructional conditions in predicting academic success","volume":"28","year":"2016","journal-title":"The Internet and Higher Education"},{"issue":"4","key":"key2020081213414886100_ref010","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1080\/10508406.2013.837391","article-title":"From log files to assessment metrics: measuring students\u2019 science inquiry skills using educational data mining","volume":"22","year":"2013","journal-title":"Journal of the Learning Sciences"},{"issue":"4","key":"key2020081213414886100_ref011","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1080\/08839514.2018.1483121","article-title":"Predictive analytics machinery for STEM student success studies","volume":"32","year":"2018","journal-title":"Applied Artificial Intelligence"},{"key":"key2020081213414886100_ref012","volume-title":"STEM Integration in K-12 Education: Status, Prospects, and an Agenda for Research","year":"2014"},{"key":"key2020081213414886100_ref013","first-page":"237","article-title":"Authentic science inquiry learning at scale enabled by an interactive biology cloud experimentation lab","volume-title":"Proceedings of the Fourth ACM Conference on Learning at Scale","year":"2017"},{"issue":"4","key":"key2020081213414886100_ref014","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1007\/s40593-017-0150-3","article-title":"Design guidelines and empirical case study for scaling authentic inquiry-based science learning via open online courses and interactive biology cloud labs","volume":"28","year":"2018","journal-title":"International Journal of Artificial Intelligence in Education"},{"issue":"5","key":"key2020081213414886100_ref015","first-page":"14","article-title":"Assessment and analytics in institutional transformation","volume":"46","year":"2011","journal-title":"EDUCAUSE Review"},{"issue":"7353","key":"key2020081213414886100_ref016","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1038\/474556a","article-title":"Science in Africa: the view from the front line","volume":"474","year":"2011","journal-title":"Nature News"},{"key":"key2020081213414886100_ref017","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1145\/2567574.2567620","article-title":"Assessing elementary students\u2019 science competency with text analytics","volume-title":"Proceedings of the Fourth International Conference on Learning Analytics and Knowledge","year":"2014"},{"issue":"6","key":"key2020081213414886100_ref018","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1080\/00043125.2016.1224873","article-title":"From interdisciplinary to transdisciplinary: an arts-integrated approach to STEAM education","volume":"69","year":"2016","journal-title":"Art Education"},{"issue":"1","key":"key2020081213414886100_ref019","article-title":"Learning about research and readership development in STEM education: a systematic analysis of the journal\u2019s publications from 2014 to 2018","volume":"6","year":"2019","journal-title":"International Journal of STEM Education"},{"issue":"1","key":"key2020081213414886100_ref020","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1504\/IJMLO.2020.103901","article-title":"The use of student response systems with learning analytics: a review of case studies (2008\u20132017)","volume":"14","year":"2020","journal-title":"International Journal of Mobile Learning and Organisation"},{"issue":"3\/4","key":"key2020081213414886100_ref021","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1504\/IJSS.2018.100215","article-title":"Implementing learning analytics in higher education: the case of Asia","volume":"12","year":"2018","journal-title":"International Journal of Services and Standards"},{"issue":"5","key":"key2020081213414886100_ref022","first-page":"31","article-title":"Penetrating the fog: analytics in learning and education","volume":"46","year":"2011","journal-title":"EDUCAUSE Review"},{"issue":"1","key":"key2020081213414886100_ref023","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/s40594-018-0151-2","article-title":"Teachers\u2019 perception of STEM integration and education: a systematic literature review","volume":"6","year":"2019","journal-title":"International Journal of STEM Education"},{"issue":"4","key":"key2020081213414886100_ref024","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1002\/sce.21522","article-title":"What are we talking about when we talk about STEM education? A review of literature","volume":"103","year":"2019","journal-title":"Science Education"},{"key":"key2020081213414886100_ref025","first-page":"310","article-title":"A framework for developing metrics of youth engagement in informal learning environments","volume-title":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK \u201818)","year":"2018"},{"issue":"4","key":"key2020081213414886100_ref026","first-page":"49","article-title":"Learning analytics and educational data mining in practice: a systematic literature review of empirical evidence","volume":"17","year":"2014","journal-title":"Educational Technology and Society"},{"key":"key2020081213414886100_ref027","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.tsc.2018.10.002","article-title":"STEAM in practice and research: an integrative literature review","volume":"31","year":"2019","journal-title":"Thinking Skills and Creativity"},{"key":"key2020081213414886100_ref028","first-page":"456","article-title":"Utilizing learning analytics to map students\u2019 self-reported study strategies to click behaviors in STEM courses","volume-title":"Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK19)","year":"2019"},{"key":"key2020081213414886100_ref029","volume-title":"Uncertainty in Teacher Education Futures: Scenarios, Politics and STEM","year":"2018"},{"key":"key2020081213414886100_ref030","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1109\/ICALT.2016.134","article-title":"Towards a teaching analytics tool for supporting reflective educational (re)design in inquiry-based STEM education","volume-title":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","year":"2016"},{"key":"key2020081213414886100_ref032","first-page":"269","article-title":"Estimation of success in collaborative learning based on multimodal learning analytics features","volume-title":"IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","year":"2017"},{"key":"key2020081213414886100_ref031","first-page":"522","article-title":"Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM activities","volume-title":"Proceedings of the Sixth International Conferenceon Learning Analytics and Knowledge","year":"2016"},{"issue":"1","key":"key2020081213414886100_ref033","doi-asserted-by":"publisher","first-page":"2","DOI":"10.20897\/ejsteme\/85525","article-title":"Integrated STEM education: a systematic review of instructional practices in secondary education","volume":"3","year":"2018","journal-title":"European Journal of STEM Education"},{"issue":"1","key":"key2020081213414886100_ref034","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1108\/AAOUJ-01-2017-0009","article-title":"Learning analytics in higher education: an analysis of case studies","volume":"12","year":"2017","journal-title":"Asian Association of Open Universities Journal"},{"issue":"1","key":"key2020081213414886100_ref035","doi-asserted-by":"publisher","DOI":"10.1007\/s40692-019-00143-7","article-title":"A review of learning analytics intervention in higher education (2011\u20132018)","volume":"7","year":"2019","journal-title":"Journal of Computers in Education"},{"issue":"2","key":"key2020081213414886100_ref036","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1108\/ITSE-12-2017-0065","article-title":"Trends in learning analytics practices: a review of higher education institutions","volume":"15","year":"2018","journal-title":"Interactive Technology and Smart Education"},{"key":"key2020081213414886100_ref037","first-page":"335","article-title":"ST\u03a3@M education: an overview of creating a model of integrative education","year":"2008","journal-title":"Pupils\u2019 Attitude Towards Technology PATT-17 and PATT-19 Proceedings"},{"key":"key2020081213414886100_ref038","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.chb.2017.12.016","article-title":"Using survival analysis to discovering pathways to success in mathematics","volume":"92","year":"2019","journal-title":"Computers in Human Behavior"}],"container-title":["Interactive Technology and Smart Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/ITSE-11-2019-0073\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/ITSE-11-2019-0073\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:57:11Z","timestamp":1753394231000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/itse\/article\/17\/3\/323-335\/177969"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,4]]},"references-count":38,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,6,4]]}},"alternative-id":["10.1108\/ITSE-11-2019-0073"],"URL":"https:\/\/doi.org\/10.1108\/itse-11-2019-0073","relation":{},"ISSN":["1741-5659","1741-5659"],"issn-type":[{"value":"1741-5659","type":"print"},{"value":"1741-5659","type":"print"}],"subject":[],"published":{"date-parts":[[2020,6,4]]}}}