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Adaptive distance learning and testing system
Author(s) -
Marković Suzana,
Jovanović Zoran,
Jovanović Nenad,
Jevremović Aleksandar,
Popović Ranko
Publication year - 2013
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.20510
Subject(s) - computer science , process (computing) , presentation (obstetrics) , adaptive learning , curriculum , test (biology) , learning management , active learning (machine learning) , learning styles , knowledge management , multimedia , human–computer interaction , artificial intelligence , mathematics education , psychology , pedagogy , medicine , paleontology , biology , radiology , operating system
User models are essential to e‐learning systems, giving students learning continuity, tutors evidence of students' progress, and both a way to personalize students' learning materials to their abilities and preferences. Personalizing information has long been the motivation behind developing e‐learning systems. Adaptive educational systems attempt to maintain a learning style profile for each student and use this profile to adapt the presentation and navigation of instructional content to each student. This kind of system adapts the learning process on the basis of the student's learning preferences, knowledge, and availability. One such Web‐based tool is built at the Business School of Professional Studies in Blace (the system of intelligent evaluation using tests), which infers student knowledge using adaptive testing. The knowledge is not evaluated according to fixed standards, but it depends on individual characteristics of each student, therefore, the learning style which is the most suitable. This system is part of the integrated assessment system inside of integrated curriculum. © 2010 Wiley Periodicals, Inc. Comput Appl Eng Educ 21:E2–E13, 2013