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. © Springer International Publishing Switzerland 2014.

A ACHARYA

D SINHA

University of Calcutta (informally known as Calcutta University or CU) is a collegiate public state university located in Kolkata, West Bengal, India.&nbsp;Within India it is recognized as a &quot;Five-Star University&quot; and accredited &quot;A&quot; Grade by National Assessment and Accreditation Council.

&nbsp;

The University of Calcutta has secured the Fifth position among the Universities of India in the prestigious &quot;Indian University Ranking 2019&quot; list, released by the NIRF of the Ministry of Human Resource Development, Government of India.

&nbsp;

It was established on 24 January 1857, and was one of the first institutions in Asia to be established as a multidisciplinary and Western-style university. Its alumni and faculty include several heads of state, heads of government, social reformers, prominent artists, only academy award winner and Dirac medal winner in India, many Fellows of the Royal Society and five Nobel laureates as of 2019 which is highest in South Asia.

University Of Calcutta

A Concept Map Approach to Supporting Diagnostic and Remedial Learning Activities

Smart Innovation, Systems and Technologies

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. © Springer India 2015.

Advances in Intelligent Systems and Computing

A weighted concept map approach to generate learning guidance in science courses

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. © Springer International Publishing Switzerland 2015.

Construction of automated concept map of learning using hashing technique

Informatica Economica

Syncing Mobile Applications with Cloud Storage Services

Australasian Journal of Educational Technology

Data mining techniques for identifying students at risk of failing a computer proficiency test required for graduation

Expert Systems with Applications

Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning

Data Warehousing and Mining

A Data Mining Approach to Diagnosing Student Learning Problems in Sciences Courses

Computers & Education

Mobile educational features in authoring tools for personalised tutoring

A concept map approach to supporting diagnostic and Remedial learning activities

Journal	Data powered by TypesetSmart Innovation, Systems and Technologies
Publisher	Data powered by TypesetSpringer Science and Business Media Deutschland GmbH
ISSN	2190-3018