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MOLPP, a New Generic Approach to Design a System for Monitoring Player Progress in Serious Games

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Yassine El Borji, Mohamed Khaldi

Yassine El Borji and Mohamed Khaldi. MOLPP, a New Generic Approach to Design a System for Monitoring Player Progress in Serious Games. International Journal of Computer Applications 180(21):13-17, February 2018. BibTeX

	author = {Yassine El Borji and Mohamed Khaldi},
	title = {MOLPP, a New Generic Approach to Design a System for Monitoring Player Progress in Serious Games},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2018},
	volume = {180},
	number = {21},
	month = {Feb},
	year = {2018},
	issn = {0975-8887},
	pages = {13-17},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2018916495},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The growing interest in the use of Serious Games in education raises many researches questions and involves some concerns, particularly the ability to track and understand the path of a learner - player as well as his progress. Moreover, their integration into the learning process remains limited because they do not provide effective features for monitoring learner / player progress in order to show them the consequences of their decisions. Thus, we propose a monitoring system called MOLPP (Monitoring Learner – Player Progress in Serious Games) which adopts a new generic approach based mainly on Anderson's ACT-R theory. The MOLPP system implements the Model Tracing diagnostic methodology derived from Anderson's ACT-R theory to analyze learner-player interactions from the Serious Game environment and match these interactions with the performance model, in order to generate a corrective intervention pertaining to the evaluation mode in the form of immediate feedback by complying with all the production rules of the performance model.


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Serious games, Learner-Player tracking, E-assessment, In-game interactions, Anderson's theory, ACT-R, Production rules, Tracing Model, multi-agents systems.