Proteus: A Lecturer-Friendly Adaptive Tutoring System
Olivier D.T. Sessink, Hendrik H. Beeftink, Johannes Tramper, Rob J.M. Hartog, Wageningen University, Netherlands
Journal of Interactive Learning Research Volume 18, Number 4, ISSN 1093-023X Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Effectively targeting a heterogeneous student population is a common challenge in academic courses. Most traditional learning material targets the "average student," and is suboptimal for students who lack certain prior knowledge, or students who have already attained some of the course objectives. Student-activating learning material supports effective training. Adaptive systems may help to support learning for a heterogeneous group of students. Development of adaptive learning material, however, is usually a complex task not easily done by the average lecturer. An adaptive tutoring system is therefore designed that requires little knowledge and skills from lecturers: Proteus. Proteus provides adaptive navigation on a micro scale based on a set of closed questions. The questions are used both to measure, as well as to stimulate student progress. Entering questions in Proteus requires little effort from lecturers. Proteus is tested and evaluated in a Bachelor of Science (BSc) course with 91 students and is received very well.
Sessink, O.D.T., Beeftink, H.H., Tramper, J. & Hartog, R.J.M. (2007). Proteus: A Lecturer-Friendly Adaptive Tutoring System. Journal of Interactive Learning Research, 18(4), 533-554. Waynesville, NC: Association for the Advancement of Computing in Education (AACE). Retrieved March 24, 2023 from https://www.learntechlib.org/primary/p/21709/.
© 2007 Association for the Advancement of Computing in Education (AACE)
ReferencesView References & Citations Map
- Anderson, J.R. (1995). Learning and memory. An integrated approach., New York: John Wiley& Sons.
- Armani, J. (2005). VIDET: A visual authoring tool for adaptive websites tailored to non-programmer teachers. Educational Technology& Society, 8(3), 36-52.
- Aroyo, L., & Mizoguchi, R. (2004). Towards evolutional authoring support systems. Journal of Interactive Learning Research, 15(4), 365-387.
- Beaumont I., Brusilovsky, P. (1995). Adaptive hypermedia: From ideas to real systems. In H. Maurer (Ed.), Educational multimedia and hypermedia 1995 (pp. 93-98). Charlottesville, VA: Association
- Brusilovsky, P. (1994). The construction and application of student models in intelligent tutoring systems. Computer and System Sciences International, 32(1), 70-89.
- Brusilovsky, P., Eklund, J., & Schwarz, E. (1997). Adaptive navigation support in educational hypermedia on the worldwide web. Proceedings of INTERACT97, The 6th IFIP World Conference on Human-Computer Interaction (pp. 278-285), Sydney, Australia. New York: Chapman& Hall.
- Brusilovsky, P., Eklund, J., & Schwarz, E.W. (1998). Web-based education for all: A tool for development adaptive courseware. Computer Networks and ISDN Systems, 30(1-7), 291-300.
- Brusilovsky, P. (2001). Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11(11), 87-110.
- Calvi, L., & De Bra, P. (1997) Using dynamic hypertext to create multi-purpose textbooks. In T. Müldner & T.C. Reeves (Eds.), Proceedings of ED-MEDIA-World Conference on Educational Multimedia, Hypermedia& Telecommunications (pp. 130-135), Calgary, Canada. Norfolk,
- Conati, C., Gertner, A., & VanLehn, K. (2002). Using Bayesian networks to manage uncertainty in student modeling. User Modeling and User-Adaptive Interaction, 12(4), 371–417.
- Dagger, D., Wade, V., & Conlan, O. (2005). Personalisation for all: Making adaptive course composition easy. Educational Technology& Society, 8(3), 9-25.
- Esposito, F., Licchelli, O., & Semeraro, G. (2004). Discovering student models in e-learning systems. Journal of Universal Computer Science, 10(1) 47-57.
- Henze, N., & Nejdl, W. (1999, September). Bayesian modeling for adaptive hypermedia systems. Paper presented at the GI-Workshop Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen, Magdeburg, Germany.
- IMS (2004). Question and Test Interoperability (QTI) specification. Retrieved June 13, 2007, from http://www.imsglobal.org/question/
- Kester, L., Kirschner, P.A., van Merriënboer, J.J.G., & Baumer, A. (2001). Just-in-time information presentation and the acquistion of comples cognitive skills. Computers in Human Behaviour, 17, 373-391.
- Kulhavy, R., & Stock, W. (1989). Feedback in written Instruction: The place of response certitude. Educational Psychology Review, 1(4), 279-308.
- Mizoguchi, R., & Bourdeau, J. (2000). Using ontological engineering to overcome common AI-ED problems. International Journal on Artificial Intelligence in Education, 11, 1-12.
- Murray, T. (1999). Authoring intelligent tutoring systems: An analysis of the state of the art. International Journal of Artificial Intelligence in Education, 10, 98-129.
- Narciss, S., & Huth, K. (2002). How to design informative tutoring feedback for multimedia learning. In H.M. Niegemann, R. Brünken, & D. Leutner (Eds.), Instructional design for multimedia learning (pp. 181-195), Münster, Germany: Waxmann.
- Pivec, M., & Baumann, K. (2004). The role of adaptation and personalisation in classroom-based learning and in e-learning. Journal of Universal Computer Science, 10(1) 73-89.
- Sessink, O.D.T., Beeftink, H.H., & Hartog, R.J.M. (2005). Database functionality for learning objects. Technology, Instruction, Cognition and Learning, 2, 337-357.
- Vassileva, J. (1997, August). Dynamic course generation on the WWW. In B.D. Boulay& R. Mizoguchi (Eds.), Proceedings of AI-ED'97, 8th World Conference on Artificial Intelligence in Education (pp. 498-505), Kobe, Japan. Amsterdam: IOS.
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.Suggest Corrections to References
Cited ByView References & Citations Map
Output-Classes for Faculty-Based Design-Oriented Research on Digital Learning Resources in Higher Education
Rob Hartog, Wageningen MultiMedia Research Centre, Netherlands; Huub Scholten & Adrie Beulens, Wageningen University, Netherlands
Proceedings of the Informing Science and Information Technology Education Conference 2013 (Jul 01, 2013) pp. 69–98
Development and Evaluation of an Adaptive Digital Module on Enzyme Kinetics
Janneke van Seters, Wageningen University, Netherlands; Frank Lanfermeijer, University of Groningen, Netherlands; Hylke van der Schaaf, Wageningen University, Netherlands; Miriam Ossevoort & Martin Goedhart, University of Groningen, Netherlands; Johannes Tramper, Wageningen University, Netherlands
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2009 (Oct 26, 2009) pp. 1075–1080
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact firstname.lastname@example.org.