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In this paper, the justification for the development of Learning Engineering is provided, and its major subdomains and research directions are briefly discussed.<\/jats:p>","DOI":"10.1017\/s0890060400001360","type":"journal-article","created":{"date-parts":[[2010,3,31]],"date-time":"2010-03-31T13:45:57Z","timestamp":1270043157000},"page":"127-129","source":"Crossref","is-referenced-by-count":2,"title":["Learning engineering: The key to automatic knowledge acquisition"],"prefix":"10.1017","volume":"10","author":[{"given":"Tomasz","family":"Arciszewski","sequence":"first","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2009,2,27]]},"reference":[{"key":"S0890060400001360_ref012","volume-title":"Computers that learn","author":"Weiss","year":"1991"},{"key":"S0890060400001360_ref005","unstructured":"Bala J. , Bloedorn E. , De Jong K. , Kaufmann K. , Michalski R.S. , Pachoowicz P. , Vafaie H. , Wnek J. , & Zhang J. (1992). A brief review of AQ learning programs and their applications to the Monks' problems. Reports, Center for Artificial Intelligence, George Mason University."},{"key":"S0890060400001360_ref009","first-page":"445","volume-title":"Readings in Knowledge Acquisition and Learning","author":"Shavlik","year":"1993"},{"key":"S0890060400001360_ref010","unstructured":"Szczepanik W. , Arciszewski T. , & Wnek J. (1995). Empirical performance comparison of two symbolic learning systems based on selective and constructive induction. Proc. Workshop on Machine Learning in Eng., Joint Int. Conf. Artif. Intel., 203\u2013214."},{"key":"S0890060400001360_ref008","unstructured":"Mustafa M. (1995). Preparation of examples for learning systems: A strategy for computer-generated examples. Proc. ASCE Congress on Comput. in Civil Eng., 538\u2013545."},{"key":"S0890060400001360_ref006","unstructured":"Bloedorn E. , & Michalski R.S. (1992). Data-driven constructive induction in AQ17-DCI: A method and experiments. 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