Guiding students to the right questions: adaptive navigation support in an E-Learning system for Java programming

2010 ◽  
Vol 26 (4) ◽  
pp. 270-283 ◽  
Author(s):  
I.-H. Hsiao ◽  
S. Sosnovsky ◽  
P. Brusilovsky

Most e-Learning systems provide web-based learning so that students can access the same online courses via the Internet without adaptation, based on each student's profile and behavior. In an e-Learning system, one size does not fit all. Therefore, it is a challenge to make e-Learning systems that are suitably “adaptive”. The aim of adaptive e-Learning is to provide the students the appropriate content at the right time, means that the system is able to determine the knowledge level, keep track of usage, and arrange content automatically for each student for the best learning result. This study presents a proposed system which includes major adaptive features based on a student model. The proposed system is able to initialize the student model for determining the knowledge level of a student when the student registers for the course. After a student starts learning the lessons and doing many activities, the system can track information of the student until he/she takes a test. The student’s knowledge level, based on the test scores, is updated into the system for use in the adaptation process, which combines the student model with the domain model in order to deliver suitable course contents to the students. In this study, the proposed adaptive e-Learning system is implemented on an “Introduction to Java Programming Language” course, using LearnSquare software. After the system was tested, the results showed positive feedback towards the proposed system, especially in its adaptive capability.


Kursor ◽  
2017 ◽  
pp. 175 ◽  
Author(s):  
Ruth Ema Febrita ◽  
Wayan Firdaus Mahmudy

In education, essay is considered as the best tool to evaluate student’s high order thinking and understanding. In the other hand, manual processing and grading essay answers by a teacher need much time and tending to subjectivity grading. Meanwhile automatic essay grading in e-learning system find the difficulties in comparing model or key answer to student’s answer because student’s can answer the question with so various way. That means a right answer also can be so various, for they have same semantic meaning. This paper proposed automatic essay grading using Latent Semantic Analysis. But before the texts being scored, they will be pre-processed using stop words removal and synonyms checking. Calibration process implemented for dealing with the various possible right answer and help to simplify the term matrix. Implementation of this approach using Java Programming Language and WordNet as lexical database for searching the synonyms of every given words. The accuracy obtained by this method is 54.9289%.


2021 ◽  
Vol 11 (2) ◽  
pp. 61-65
Author(s):  
Muneswary a/p Saminathan ◽  
Norhaida Mohd Suaib

Training evaluation can be defined as a way of measuring how well users learn and adapt to a system or software. Various methods have been developed to carry out training evaluations of systems or software over the past few decades. A systematic literature review report on the assessment training model was conducted to give different views on the usability aspects of the proposed approach. This study provides a current systematic review of training evaluation on skill-based system or software. The particular purpose of the review is to explore the research as preliminary step that helps in choosing the right type of training evaluation model for skill-based E-learning system or software. There is a lack of appropriate models available through the specific gaps in literature and finding especially for skill-based E-learning system evaluation.


Author(s):  
Shaikha B. AlKhuder ◽  
Fatma H. AlAli

Training and education have evolved far beyond black boards and chalk boxes. The environment of knowledge exchange requires more than simple materials and assessments. This article is an attempt of parsing through the different aspects of e-learning, understanding the real needs, and conducting the right requirements to build the appropriate e-learning system. E-learning systems, unlike the normally developed systems, have variable customers and on-going demands. It is not the easiest task to elicit unambiguous functional and non-functional requirements for such systems. However, a brief exploration of some of the e-learning characteristics may tremendously decrease the difficulty of prioritizing the most important requirements.


Author(s):  
Cerstin Mahlow

In this chapter the author discuss the introduction of an e-learning system to enhance teaching and learning at a university. The focus is on the decision process choosing a system. Abstract criteria and feature lists are not sufficient for choosing the right e-learning software, even if all stakeholders and their respective requirements are heard. The author argues that “soft” factors should be considered when evaluating e-learning software: (1) The age of the students and their level of education, (2) the pedagogical guidelines and the culture of teaching and learning of the university, and (3) the educational scenarios in lectures and seminars. These factors seem to be only small details and are typically neither mentioned in the requirements nor in the feature lists of e-learning software. Therefore the author proposes that institutions should evaluate prospective systems in real-world scenarios. As a case in point, the author will outline a number of significant differences between two e-learning systems with a focus on pedagogical aspects. The systems can be seen as representative for a certain class of systems; both offer all features that are commonly seen as the most relevant when making a decision for a university e-learning system.


Author(s):  
Mohamed El Fouki ◽  
Noura Aknin ◽  
Kamal Eddine El Kadiri

The most of collected data samples from E-learning systems consist of correlated information caused by overlapping input instances, which decrease the classifier credibility and reliability. This paper presents an improved classification model based on Deep Learning and Principal Component Analysis (PCA) method as its use in reducing the dimensionality of data. By this task, we introduce the best learning process to extract just the useful parameters that describe students’ per-formances in an E-learning system. One of the primary goals of this technique is to help earlier in detecting the dropouts and discovering of students who need special attention, so that the teachers could provide the appropriate counseling at the right time. This study presents the proposal approach and its algorithms. In addition, it shows how deep neural network was modeled in the training phase, and how PCA helps in the elimination of correlated information in our dataset to increase the classifier performance. Finally, we introduce an example of an appli-cation of the method in a data mining scenario, find out more references for fur-ther information.


2012 ◽  
Vol 56 ◽  
pp. 767-773 ◽  
Author(s):  
Norazah Yusof ◽  
Nur Ariffin Mohd Zin ◽  
Noor Shyahira Adnan

Author(s):  
H. Suhada ◽  
Lukman Nulhakim ◽  
Ferry Sudarto ◽  
Dedy Prasetya Kristiadi

The study of Islamic religious education in the era of industrial revolution 4.0 requires teaching methods which involve the role of information and communication technology in order to produce the expected quality. students cannot participate in learning maximally which has an impact on the quality of learning.The independence of learning is the goal of this study because to be able to absorb the knowledge of Islamic education it requires a great deal of motivation both theory and practice. Blended learning is a learning model which combines study in the classroom  transitional which combines conventional learning with e-learning while increasing student independence. In its implementation, blended learning allows students to get explanations from lecturers in class, then proceed with collaboration in groups and present assignments online by video conference presentations made separately by each group member. The video then uploaded to the e-learning system by group members and it can be seen online by the class participants according to the lesson schedule, to be given a score and description of the presentation to each group member online. Blended learning represents new method  to create learning experiences that can provide the right learning at the right time and in the right place for each and every individual and bringing groups of learners together through different cultures.


2021 ◽  
Vol 11 (1) ◽  
pp. 186-209
Author(s):  
Iulia Ursa

Abstract The present study presents the investigations and the research carried out in order to build a developed and professional role-model in e-learning system of study activities specific to the praxis of the actor’s craft in vocational high schools that are engaged in the drama classroom. Our hypothesis has been engaged in demonstrating that a solid based research that follows scientific procedures can and could generate impressive results. Using these researched based results the drama teacher can implement the right procedures in the classroom and by doing so he can impact the positive outcomes concerning the student-subjects abilities and professional skills. The methodology combines two types of scientific investigation means: analytical research method and the experiential research method. The following research reveals the organizational systems of the practical activities in eleaning system. For a better measurement of the results of the implemented experiential research a series of documents have been subjected to an objective analysis: structured and semi-structured interviews with the student-subjects. In the final section of the study we endeavor to state the following conclusion: in order for the developed construct of learning to have an impact on its involved parties, the drama teacher has to find creative and organized approaches, to use all the logistic and technological present means and to explore all known archived sources in actor training methods that are available to him.


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