A Concept Map Approach to Supporting Diagnostic and Remedial Learning Activities
01 Jan 2014-Vol. 27, pp 565-574
TL;DR: The development of an Intelligent Diagnostic and Remedial learning system which aims to diagnose the exact concept the student is deficient in and which improves the performance of the learners for whom they are intended is proposed.
Abstract: Due to rapid advancement in the field of computer communication there has been a lot of research in development of Intelligent Tutoring System (ITS). However ITS fails to pinpoint the exact concept the student is deficient in. We propose the development of an Intelligent Diagnostic and Remedial learning system which aims to diagnose the exact concept the student is deficient in. The proposed system composed of three modules is derived from David Ausubel’s theory of meaningful learning which consists of three learning elements. The system is implemented in mobile environment using Android Emulator. Finally an experiment was conducted with a set of 60 students majoring in computer science. Experimental results clearly show that the system improves the performance of the learners for whom they are intended.
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TL;DR: From the experimental results, it is found that OPCOMITS has contributed to the academic success of students using it and students have exhibited much better learning than those who have used a conventional e‐learning system.
Abstract: Concept map model is a method that creates domain model by identifying the relationship between concepts in course contents. This study presents an adaptive intelligent web based learning system called OPCOMITS (Object Oriented Programming Tutor using Concept Map Model). OPCOMITS has a free domain model which can be regulated by an expert for any course. It uses concept map model to regulate the topic hierarchy, to measure the student's knowledge about a topic and to stimulate learning. By employing a concept map model, it structures the course and provides an environment in which the lecturer can arrange the chapters, topics, concepts and the prerequisite relationships between the concepts. Thus, it offers an adaptive and effective learning environment by measuring the level of student's knowledge about a topic, offering reinforcing feedback, diagnosing students' weaknesses and directing them to related chapter topic in the domain for revisions. To evaluate the effectiveness of the proposed approach an experiment has been conducted on Computer Programming department in Object Oriented Programming course. From the experimental results, it is found that OPCOMITS has contributed to the academic success of students using it and students have exhibited much better learning than those who have used a conventional e-learning system. © 2016 Wiley Periodicals, Inc. Comput Appl Eng Educ; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21740
12 citations
01 Jan 2015
TL;DR: This study proposes automated construction of concept maps using Direct Hashing and Pruning algorithm which was tested with a set of students enrolled in an introductory Java course in some undergraduate colleges in Kolkata and was found to diagnose their learning problems satisfactorily.
Abstract: It has been observed that the growth of communication technologies has led to increased use of computer networks in dissemination of education. An important application area in this perspective where there has been a lot of research is Intelligent Tutoring Systems (ITS). ITS aid the process of learning and evaluation of attainments without human intervention. However ITS are unable to pin point the exact area in a lesson plan where the student is deficient in. In this context, several researchers have used concept maps to perform this identification. However it is time consuming for the educators to construct a concept map of learning manually. Several data mining algorithms have thus been used by the researchers to generate association rules which are used for automated concept map construction. This study proposes automated construction of concept maps using Direct Hashing and Pruning algorithm. The proposed approach was tested with a set of students enrolled in an introductory Java course in some undergraduate colleges in Kolkata and was found to diagnose their learning problems satisfactorily.
7 citations
TL;DR: A Weighted Concept Map based approach is proposed to provide remedialLearning guidance to the learners by generating automated Concept Map and assigning weights to the concepts based on their importance for computation of best remedial learning path.
Abstract: During the last two decades it has been observed that there has been substantial advancement in the domain of E-Learning systems. This may be attributed to development in the field on networking and communication. However most of these systems lack face to face interaction between the learner and the tutor and hence are unable to pinpoint the learner deficiencies. In this context, several researchers have used Concept Maps for identifying student learning barriers. However a major drawback of Concept Map approach is that all concepts are given equal degree of importance from the learner point of view. In this work a Weighted Concept Map based approach is proposed to provide remedial learning guidance to the learners. The system works by generating automated Concept Map and assigning weights to the concepts based on their importance for computation of best remedial learning path. The approach has been tested with a set of middle school students for identifying their learning deficiencies in science courses and the results found to be satisfactory.
6 citations
24 Jun 2017
TL;DR: Lin et al. as discussed by the authors received the Ph.D. degree in Systems and Industrial Engineering from the University of Arizona, Tucson, in 2005 and was with Indiana State University from 2005 to 2016, where he became associate professor of Electronics and Computer Engineering Technology.
Abstract: Yuetong Lin received the Ph.D. degree in Systems and Industrial Engineering from the University of Arizona, Tucson, in 2005. He was with Indiana State University from 2005 to 2016, where he became associate professor of Electronics and Computer Engineering Technology, and the program coordinator for Computer Engineering Technology. He joined Embry-Riddle Aeronautical University, Worldwide in September 2016 as an associate professor in the Department of Engineering and Technology.
5 citations
01 Jan 2016
TL;DR: This study proposes a method of collaboration for construction of Concept Map of learning among a set of ‘n’ learners divided into ‘k’ groups using Short Message Services (SMS) to evaluate this collaborative learning system.
Abstract: The growth of communication technologies in the last two decades has led to development of web based learning systems for a variety of applications. The efficiency of such learning systems has often been enhanced by the use of collaboration tools and techniques. This study proposes a method of collaboration for construction of Concept Map of learning among a set of ‘n’ learners divided into ‘k’ groups using Short Message Services (SMS). This concept map is used as a sequence for construction of learning system. The functional modules of the architecture of this system are derived from the ‘Extended’ theory of Meaningful learning proposed by David Ausubel. Two approaches have been used for evaluating this collaborative learning system. Firstly, paired t-test was conducted on student marks before and after collaboration to find the degree of significance between these. Secondly, efficiency of the collaboration process is computed using a set of Collaborative Efficiency Indexes (CEI) derived from a set of proposed metrics.
2 citations