Prof. Bruce M. McLaren is an Associate Research Professor at Carnegie Mellon University and the current President of the International Artificial Intelligence in Education Society (2017-2019). McLaren is passionate about how technology can support education and has dedicated his work and research to projects that explore how students can learn with educational games, intelligent tutoring systems, e-learning principles, and collaborative learning. McLaren's research with educational games, for instance, has shown that students can learn decimals better by playing a web-based educational game than by using more conventional technology (e.g., IJGBL 2017 paper; the "Decimal Point" website ). McLaren's research with intelligent tutors investigates how students learn when presented with erroneous examples in conjunction with intelligent tutors on the web (See the AdaptErrEx project webpage). Prof. McLaren has also investigated how erroneous examples can work synergistically with educational games to help students learn (http://www.nsf.gov/awardsearch/showAward?AWD_ID=1238619). McLaren has also conducted a series of experiments investigating how chemistry students learn when presented with worked examples, in conjunction with intelligent tutors, as well as polite hints and feedback (See the Stoich studies webpage). Finally, Prof. McLaren has a keen interest in and experience with collaborative learning and technology for supporting and analyzing collaborative argumentation. Prof. McLaren has researched and developed educational technology using AI techniques to help teachers moderate collaborative e-Discussions and online arguments (See the projects LASAD, ARGUNAUT, and Metafora). Prof. McLaren has over 160 publications (31 journal articles) spanning peer-reviewed journals, conferences, workshops, symposiums and book chapters (See McLaren's publications page for details).
In addition to his research background, Prof. McLaren has over 20 years experience in the commercial sector, applying research ideas to practical problems using Artificial Intelligence techniques. As Director of eCommerce Technologies at OpenWebs Corporation from 2000 to 2002, he led a group of engineers in the development of an intelligent inter-company (B2B) trading product. He was also the leader of many expert system projects during over 10 years working for Carnegie Group, Inc.
Prof. McLaren holds a Ph.D. and M.S. in Intelligent Systems from the University of Pittsburgh, an M.S. in Computer Science from the University of Pittsburgh, and a B.S. in Computer Science (cum laude) from Millersville University. He has been a member of many academic conference and workshop committees and, most recently, was the co-chair for the AIED 2018 conference. In October 2011, McLaren was elected to the Executive Committee of the Artificial Intelligence in Education Society (AI-ED Executive Committee), for a six-year term, 2012-2017. Finally, Prof. McLaren is the co-holder of two patents and one patent pending.
Holstein, K., McLaren, B.M. & Aleven, V. (2018). Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. In C. Rosé, R. Martínez-Maldonado, H.U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, B. McLaren and B. du Boulay (Eds.). Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED 2018). LNAI 10947 (pp. 154-168). Springer: Berlin. Won the Best Paper Award (in a tie with one other paper) [ pdf ]
McLaren, B. M., Adams, D. M., Mayer, R. E., & Forlizzi, J. (2017). A computer-based game that promotes mathematics learning more than a conventional approach. International Journal of Game-Based Learning (IJGBL), 7(1), 36-56. doi:10.4018/IJGBL.2017010103 [ pdf ] [ Online Citation ]
McLaren, B.M., van Gog, T., Ganoe, C., Karabinos, M., & Yaron, D. (2016). The efficiency of worked examples compared to erroneous examples, tutored problem solving, and problem solving in classroom experiments. Computers in Human Behavior, 55, 87-99. [ pdf ] [ Online Citation ]
Adams, D., McLaren, B. M., Durkin, K., Mayer, R.E., Rittle-Johnson, B., Isotani, S., & Van Velsen, M. (2014). Using erroneous examples to improve mathematics learning with a web-based tutoring system. Computers in Human Behavior, 36C (2014), 401-411. Elsevier. doi: 10.1016/j.chb.2014.03.053. [ pdf ] [ Online Citation ]
McLaren, B.M., Sosnovsky, S., & Aleven, V. (2014) Preface – Emerging Technologies and Landmark Systems for Learning Mathematics and Science: Dedicated to the Memory of Erica Melis – Part 1. International Journal of Artificial Intelligence in Education, 24 (3), 211-215. [ pdf ] [ Online Citation ]
McLaren, B.M., Adams, D., Durkin, K., Goguadze, G. Mayer, R.E., Rittle-Johnson, B., Sosnovsky, S., Isotani, S., & Van Velsen, M. (2012). To err is human, to explain and correct is divine: A study of interactive erroneous examples with middle school math students. In A. Ravenscroft, S. Lindstaedt, C. Delgado Kloos, & D. Hernándex-Leo (Eds.), Proceedings of EC-TEL 2012: Seventh European Conference on Technology Enhanced Learning, LNCS 7563 (pp. 222-235). Springer, Berlin. [ pdf ] YouTube video of McLaren giving an interview at EC-TEL 2012
McLaren, B.M., DeLeeuw, K.E., & Mayer, R.E. (2011). Polite web-based intelligent tutors: Can they improve learning in classrooms? Computers & Education, 56(3), 574-584. doi: 10.1016/j.compedu.2010.09.019. [ pdf ] [ Online Citation ]
McLaren, B.M., Scheuer, O., & Mikšátko, J. (2010). Supporting collaborative learning and e-Discussions using artificial intelligence techniques. International Journal of Artificial Intelligence in Education (IJAIED) 20(1), 1-46. [ pdf ] [ Online Citation ]
Scheuer, O., Loll, F., Pinkwart, N. & McLaren, B.M. (2010). Computer-supported argumentation: A review of the state of the art. International Journal of Computer-Supported Collaborative Learning, 5(1), 43-102. [ pdf ]
[ Online Citation ]
Select Research Presentations:
Keynote speaker for e-Learning Korea 2018, Seoul, South Korea, “Classroom Orchestration: How Innovation and Artificial Intelligence are Impacting Education and Teaching“, September 14, 2018 [ See announcement ] [ Watch the keynote presentation ]
Invited talk - Texas A&M, “How the Networked World, Our Understanding of Collaborative Learning, and Advanced Technology are Converging for New Learning Opportunities.”, November 12, 2014, Watch the invited talk
Keynote Speaker – 5th International Conference on Computer Supported Education (CSEDU 2013) Aachen, Germany “The Educational Software Gold Rush: How the Learning Sciences and Advanced Technology Can Lead the Way”, May 2013. Watch the keynote presentation
Invited talk - University of Sydney, School of Information Technologies, Basser Seminar Series. Sydney, Australia “Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques”, April 3, 2013
Invited talk - University of Canterbury, Department of Computer Science and Software Engineering Symposium Lecture. Christchurch, New Zealand “Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques”, March 20, 2013
Invited talk - Millersville University's Department of Computer Science Fall 2012 Symposium Lecture. Millersville, Pennsylvania “The Educational Software Gold Rush: How Can the Learning Sciences Help?”, November 26, 2012
CSCL-2009 symposium "The Assistance Dilemma in CSCL", Rhodes, Greece, June 2009. Talk titled "Adapting Assistance to the Student(s): Preliminary Ideas from Individual and Collaborative Computer-Supported Learning Contexts"
Kaleidoscope Symposium on Technology-Enhanced Learning, Oberhausen, Germany July 2005. Talk titled: "The Pittsburgh Science of Learning Center: Learning Studies and Technology in Actual Classroom Settings" (Contact: Dr. Andreas Harrer)