Traditional Instructional Methods versus Intelligent Tutoring Systems

 interactive learning environments that require
  Traditional instructional methods often infusepeople to apply their knowledge and skills. These
"static knowledge" that learners can recall butactive, situated learning environments help them
may not apply correctly when needed. Byretain and apply knowledge and skills more
contrast, Intelligent Tutoring Systems useeffectively in operational settings.
simulations and other highly interactive learning  An intelligent tutoring system personalizes the
environments that require people to apply theirinstruction based on the background and the
knowledge and skills.progress of each individual student. In this way,
  Regardless of the fact that many instructionalthe learner is able to receive immediate feedback
systems have been developed to support learningon his performance. Today, prototype and
and training in the form of Computer-Aidedoperational ITS systems provide practice-based
Learning (CAL), Computer-Aided Instruction (CAI),instruction to support corporate training, high
Computer-Based Training (CBT) and Web-Basedschool and college education, military training etc.
Training (WBT), the vast majority of such  The goal of intelligent tutoring systems is to
systems in the fields of education and industry,provide the benefits of one-on-one instruction
have failed to achieve the desired result.automatically and cost effectively. Intelligent
  This lack of success is due to the fact thattutoring systems enable participants to practice
traditional instructional methods, presenttheir skills by carrying out tasks within highly
instructional materials in a rigid tree structure tointeractive learning environments.
guide the learners from one content page to  An intelligent tutoring system (ITS),
another depending on their answers. While theygoes beyond training simulations by answering
may be somewhat useful in helping learners, theyuser questions and providing individualized guidance.
are restrictive because they do not consider theUnlike other computer-based training technologies,
diversity of students’ knowledge states andintelligent tutoring systems assess each learner's
their particular needs. Such systems do notactions within these interactive environments and
generate flexible instructional plans. Instead, theydevelop a model of their knowledge, skills, and
follow a pre-specified and fixed plan.expertise. Based on the learner model, ITSs tailor
  Moreover, they are not adaptive and areinstructional strategies, in terms of both the
unable to dynamically provide the same kind ofcontent and style, and provide explanations, hints,
individualized attention that students would receiveexamples, demonstrations, and practice problems
from human teachers. They fail to adapt to theas needed.
specific way of acquiring knowledge a student  Research on prototype systems indicates that
has, and are unable to give the individualizedstudents and staff taught or trained by intelligent
attention that a human tutor provides.tutoring systems generally learn faster and
  A potential solution to this problem is the usetranslate the learning into improved performance
of novel software known as “Intelligentbetter than classroom-trained participants.
Tutoring Systems” (ITS), with built-in artificial  Researchers in some universities developed an
intelligence. These systems, which adaptintelligent tutoring system called the LISP Tutor in
themselves to the current knowledge stage ofthe mid-1980s that taught computer programming
the learner and support different learningskills to college students. In one controlled
strategies on an individual basis, could beexperiment, students who used this tutoring
integrated with the Web for effective training andsystem scored 43 percent higher in the final
tutoring.exam, than a control group that received
  Intelligent tutoring systems (ITSs) are softwaretraditional instruction.
programs that give support to the learning  Learners taught using Sherlock an intelligent
activity. These systems can be used in thetutoring system performed significantly better
conventional educational process, distant learningthan the control group and, after 20 hours of
courses as well corporate training, either underinstruction, performed as well as technicians with
the form of CDROMs or as applications thatfour years of on-the-job experience.
deliver knowledge over the Internet. They  Consequently, intelligent tutoring systems
present new ways for education, which canprovide improved training outcomes when
change the role of the human tutor or teacher,compared to classroom instruction. They provide
and enhance it.training which is tailored and customized to the
 They present educational materials in a flexibleindividual student, leading to effective learning. The
and personalized way that is similar to one-to-oneknowledge incorporated into the ITS captures the
tutoring. In particular, ITSs have the ability toexpertise of best instructors and distributes it to
provide learners with tailored instructions andall students and can serve as an effective tool to
feedback. The basic underlying idea of ITSs is toprovide practice-based instruction to support
realise that each student is unique.corporate training, high school and college
  They use simulations and other highlyeducation, military training etc.