scholarly journals Recommendation Systems on E-Learning and Social Learning: A Systematic Review

2021 ◽  
Vol 19 (5) ◽  
pp. pp432-451
Author(s):  
Sonia Souabi ◽  
Asmaâ Retbi ◽  
Mohammed Khalidi Idrissi Khalidi Idrissi ◽  
Samir Bennani
Keyword(s):  
Social Learning ◽  
Recommender Systems ◽  
Positive Impact ◽  
Empirical Studies ◽  
Research Work ◽  
Educational Networks ◽  
E Learning ◽  
Hybrid Recommender ◽  
Unsupervised Algorithms ◽  
Final Synthesis

E-learning is renowned as one of the highly effective modalities of learning. Social learning, in turn, is considered to be of major importance as it promotes collaboration between learners. For properly managing learning resources, recommender systems have been implemented in e-learning to enhance learners' experience. Whilst recommender systems are of widespread concern in online learning, it is still unclear to educators how recommender systems can improve the learning process and have a positive impact on learning. This paper seeks to provide an overview of the recommender systems proposed in e-learning between 2007 and the first part of 2021. Out of 100 initially identified publications for the period between 2007 and the first part of 2021, 51 articles were included for final synthesis, according to specific criteria. The descriptive results show that most of the disciplines involved in educational recommender systems papers have approached e-learning in a general way without putting as much emphasis on social learning, and that recommender systems based on explicit feedbacks and ratings were the most frequently used in empirical studies. The synthesis of results presents several recommender systems types in e-learning: (1) Content-based recommender systems, (2) Collaborative-filtering recommender systems, (3) Hybrid recommender systems and (4) Recommender systems based on supervised and unsupervised algorithms. The conclusions reflect on the almost lack of critical reflection on the importance of addressing recommender systems in social learning and social educational networks in particular, especially as social learning has particular requirements, the weak databases size used in some research work, the importance of acknowledging the strengths and weaknesses of each type of recommender system in an educational context and the need for further exploration of implicit feedbacks more than explicit learners’ feedbacks for more accurate recommendations.

scholarly journals The Impact of e-Learning Quality on Student Satisfaction and Continuance Usage Intentions during COVID-19

2021 ◽  
Vol 11 (8) ◽  
pp. 368-374
Author(s):  
Wilert Puriwat ◽  
◽  
Suchart Tripopsakul
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Teaching And Learning ◽  
Positive Impact ◽  
Empirical Studies ◽  
Education Students ◽  
Course Content ◽  
Continuance Usage ◽  
E Learning ◽  
The Impact

The COVID-19 pandemic has severely affected people’s lives, changing the ways of working, living, playing, and learning. With this pandemic, classroom learning has been suspended due to infection concerns, and e-learning has emerged, becoming an important mechanism for educational institutions to continue their teaching and learning activities. However, there have been only a few empirical studies providing insight into the factors affecting students’ e-learning satisfaction and usage behaviors during the COVID-19 outbreak. Thus, this study aims to investigate the impact of e-learning quality on student satisfaction and continuance usage intentions among higher education students in Thailand during the pandemic. Based on empirical research with 185 higher education students, the results revealed that e-learning quality was a second-order construct comprised of three elements, namely, course content and design, administrative and technical support, and instructor and learner characteristics. Course content and design was the most important dimension of overall e-learning quality. Furthermore, overall e-learning quality had a significant positive impact on student satisfaction and continuance usage intentions toward e-learning platforms. Mediation analysis indicated that student satisfaction partly mediated the relationship between e-learning quality and continuance usage intentions.

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques

2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari
Keyword(s):  
Learning Style ◽  
Recommender System ◽  
Adaptive Learning ◽  
Learning Objects ◽  
Research Field ◽  
Learning System ◽  
K Nearest Neighbors ◽  
E Learning ◽  
Hybrid Recommender System ◽  
Hybrid Recommender

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.

scholarly journals Recommender systems in model-driven engineering

2021 ◽  
Author(s):  
Lissette Almonte ◽  
Esther Guerra ◽  
Iván Cantador ◽  
Juan de Lara
Keyword(s):  
Recommender Systems ◽  
Information Filtering ◽  
Research Work ◽  
Model Driven Engineering ◽  
Video Broadcasting ◽  
Model Driven ◽  
Challenges And Opportunities ◽  
Mapping Review ◽  
Development Processes ◽  
Systematic Mapping Review

AbstractRecommender systems are information filtering systems used in many online applications like music and video broadcasting and e-commerce platforms. They are also increasingly being applied to facilitate software engineering activities. Following this trend, we are witnessing a growing research interest on recommendation approaches that assist with modelling tasks and model-based development processes. In this paper, we report on a systematic mapping review (based on the analysis of 66 papers) that classifies the existing research work on recommender systems for model-driven engineering (MDE). This study aims to serve as a guide for tool builders and researchers in understanding the MDE tasks that might be subject to recommendations, the applicable recommendation techniques and evaluation methods, and the open challenges and opportunities in this field of research.

Explanation information and source in service recovery initiatives

2014 ◽  
Vol 28 (4) ◽  
pp. 311-318 ◽  
Author(s):  
Thomas Baker ◽  
Tracy Meyer
Keyword(s):  
Source Credibility ◽  
Positive Impact ◽  
Service Failure ◽  
Empirical Studies ◽  
Service Recovery ◽  
Positive Outcome ◽  
Frontline Employees ◽  
Full Account ◽  
Content Type ◽  
Service Failure And Recovery

Purpose – The purpose of this paper is to specifically consider two interactional aspects that are likely to contribute to the success of an explanation of why a service failed: the adequacy of information provided and role of the person providing the information. Design/methodology/approach – Two empirical studies were conducted using a between-subjects 2 (information: low vs high) × 2 (employee: frontline vs manager) experimental design. The first study was designed to better understand when the information provided might have a more positive impact on the customer. The second study was conducted to understand why the effects exist. Findings – In Study 1, an interaction effect was seen that suggests that the most positive outcome is when the manager (vs the frontline employee) provides a full explanation (vs limited explanation) of the mishap. Results from Study 2 indicate that source credibility is in play. Research limitations/implications – Participants were asked to respond to service failure and recovery scenarios using the same service context. The means of the outcome variables suggest that the recovery effort could be improved upon with other methods. Practical implications – Contrary to suggestions that frontline employees be responsible to resolve service failures, our studies reveal that service recovery initiatives involving an explanation only are best received when the manager provides the customer a full account of what went wrong. Originality/value – This research provides empirical evidence of when and why more information regarding the cause of a service failure is most positively received by the customer.

A Comparative Study of Tribological Behavior of Steel Sliding Against WC Under Mineral and Biodegradable Oil Lubrication

2012 ◽  
Author(s):  
Anup Darshan ◽  
UmaMaheshwera Reddy Paturi ◽  
Narala Suresh Kumar Reddy ◽  
Srinivasa Prakash Regalla
Keyword(s):  
Tribological Properties ◽  
Positive Impact ◽  
Research Work ◽  
Mineral Oil ◽  
Optical Microscope ◽  
Machining Processes ◽  
Alternative Source ◽  
Pin On Disc ◽  
Steel Disc ◽  
Machining Operations

Now a days for machining operations apart from good tribological properties, the lubricant is also expected to be non-hazardous and non-polluting. When considering the ecological and environmental aspects in machining processes, the use of biodegradable oil can be an alternative source of lubricant due to its positive impact to employee health and environmental pollution. In this regard, our research work uses vegetable based cutting fluids developed from canola and sunflower oil, in an attempt to provide an eco-friendly environment. Experiments are carried out on a pin-on-disc tribometer with tungsten carbide (WC) pin against AISI 4340 steel disc for different sliding times under different environments, thus simulating the machining environment. The tribological properties, wear and friction of vegetable based oils were comparatively investigated with a commercially available mineral oil. Wear tracks and roughness profiles of test specimens were compared by using optical microscope and profilometer respectively. Results indicated that vegetable based canola oil demonstrated excellent tribological properties compared to that of commercial mineral oil.

POWERPOINT IN HIGHER EDUCATION: DEVELOPMENT, TRANSFORMATION AND THE PRESENT STATE

2021 ◽  
Vol 54 (2) ◽  
pp. 97-103
Author(s):  
Alexander R. Polyanin ◽  
◽  
Sergey N. Korotun ◽  
Dmitry A. Baranov ◽  
◽  
...  
Keyword(s):  
Higher Education ◽  
Present State ◽  
Positive Impact ◽  
Empirical Studies ◽  
Education Development ◽  
Technical Application ◽  
Higher Education Development ◽  
Marketing Environment ◽  
Classroom Time ◽  
Education Process

PowerPoint appeared over 35 years ago and has taken a firm place in education. The massive use of the program began in the mid-90s. The program has gone from an interesting technological novelty to an irreplaceable element of a modern lecture. Such a rapid introduction into ed-ucation took place without extensive empirical studies of a positive impact of this program, the initial scope of which was the marketing environment, on the education process. The article in-dicates that PowerPoint already in the late 1990s was subjected to certain criticism, the initial reasons for which were its technological imperfection, problems of its technical application. Over the decades, the program has undergone a number of modernizations, which, together with the development of demonstration technologies, has brought it today to a qualitatively new level. However, even today PowerPoint continues to raise questions from researchers. A sepa-rate problem was the question of the expediency of such massive use of the program, which today seeks to fill 100% of the classroom time. Most of the guides for using the program do not take into account the specifics of the use of slides and are aimed at the implementation of design rather than pedagogical tasks. The problem of stimulating audience activity at lectures using this program has not been solved yet.

Factors Associated with students’ Intention to use E-Learning System: A Study from Public Universities of Lahore

2021 ◽  
Vol 9 (2) ◽  
pp. 167-173
Author(s):  
Shagufta Shaheen ◽  
Mubasher Muhammad Kamran ◽  
Saira Naeem ◽  
Tahir Mahmood
Keyword(s):  
Undergraduate Students ◽  
Public Universities ◽  
Positive Impact ◽  
Cross Sectional Study ◽  
Learning Systems ◽  
Learning System ◽  
Policy Implications ◽  
Intention To Use ◽  
Cross Sectional ◽  
E Learning

The study's primary purpose is to explore the factors affecting the students' intention to use e-learning systems in the COVID pandemic. The model of the “Unified theory of acceptance and use of technology” (UTAUT) was used as a theoretical underpinning. The Independent variables include “performance expectancy, effort expectancy, social influence, facilitating condition,” and the dependent variable is the intention to use e-learning systems. The quantitative data were collected from the postgraduate and undergraduate students of the public universities of Lahore. A total of n=411 students were approached, out of which the responses of only 399 were considered valid and were used for Multiple linear regression through SPSS 25. It was a cross-sectional study. It was found that almost all constructs of the model have a significant positive impact on intention to use e-learning systems.  The study's main contribution is exposing the factors that affect the acceptance and use of e-learning systems. This study has several policy implications for policy experts of higher education”.

scholarly journals Identification of Levels of Sustainable Consciousness of Teachers in Training through an E-Portfolio

2018 ◽  
Vol 10 (10) ◽  
pp. 3700 ◽  
Author(s):  
Pilar Colás-Bravo ◽  
Patrizia Magnoler ◽  
Jesús Conde-Jiménez
Keyword(s):  
Training Programs ◽  
Empirical Studies ◽  
Research Work ◽  
School Of Education ◽  
Consciousness Development ◽  
Service Training ◽  
Qualitative Nature ◽  
Key Competences ◽  
Categorization System ◽  
The University

The contents of Education for Sustainable Development should be included in teachers’ initial and advanced training programs. A sustainable consciousness is one of the main foundations for determining the key competences for sustainability. However, there are not many empirical studies that deal with consciousness from education. In this context, the e-portfolio appears as a tool that promotes reflection and critical thinking, which are key competences for consciousness development. This work intends to propose a categorization system to extract types of consciousness and identify the levels of consciousness of teachers in training. For this research work, which is of an eminently qualitative nature, we have selected 25 e-portfolios of students (teachers in pre-service training) in the last year of the School of Education at the University of Macerata (Italy). The qualitative methodological procedure that was followed enabled deducing three bases that shape the consciousness of teachers in training: thinking, representation of reality, and type of consciousness. We concluded that the attainment of a sustainable consciousness in teachers requires activating and developing higher levels of thinking, as well as a projective and macrostructural representation of reality.

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