scholarly journals An Emotion-Aware Learning Analytics System Based on Semantic Task Automation

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1194
Author(s):  
Sergio Muñoz ◽  
Enrique Sánchez ◽  
Carlos A. Iglesias
Keyword(s):  
Learning Analytics ◽  
Structural Equation ◽  
Critical Factor ◽  
Equation Modeling ◽  
Automation System ◽  
Learning Context ◽  
Semantic Task ◽  
Learning Platform ◽  
Teachers And Students ◽  
E Learning

E-learning has become a critical factor in the academic environment due to the endless number of possibilities that it opens for the learning context. However, these platforms often suppose to increase the difficulties for the communication between teachers and students. Without having real contact between teachers and students, the former finds it harder to adapt their methods and content to their students, while the students also find complications for maintaining their focus. This paper aims to address this challenge with the use of emotion and engagement recognition techniques. We propose an emotion-aware e-learning platform architecture that recognizes students’ emotions and attention in order to improve their academic performance. The system integrates a semantic task automation system that allows users to easily create and configure their own automation rules to adapt the study environment. The main contributions of this paper are: (1) the design of an emotion-aware learning analytics architecture; (2) the integration of this architecture in a semantic task automation platform; and (3) the validation of the use of emotion recognition in the e-learning platform using partial least squares structural equation modeling (PLS-SEM) methodology.

scholarly journals Evaluating the Effect of Arabic Engineering Students’ Learning Styles in Blended Programming Courses

10.28945/3423 ◽  
2016 ◽  
Vol 15 ◽  
pp. 109-130 ◽  
Author(s):  
Ahmed Al-Azawei ◽  
Ali kadhim Al-Bermani ◽  
Karsten Lundqvist
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
Learning Style ◽  
Structural Equation ◽  
Engineering Students ◽  
Learning Context ◽  
Learning Platform ◽  
Perceived Satisfaction ◽  
E Learning ◽  
Programming Courses

This study investigated the complex relationship among learning styles, gender, perceived satisfaction, and academic performance across four programming courses supported by an e-learning platform. A total of 219 undergraduate students from a public Iraqi university who recently experienced e-learning voluntarily took place in the study. The integrated courses adopted a blended learning mode and all learners were provided the same learning content and pathway irrespective of their individual styles. Data were gathered using the Index of Learning Styles (ILS), three closed-ended questions, and the academic record. Traditional statistics and partial least squares structural equation modelling (PLS-SEM) were performed to examine the proposed hypotheses. The findings of this research suggested that, overall, learning style dimensions are uncorrelated with either academic performance or perceived satisfaction, except for the processing dimension (active/reflective) that has a significant effect on the latter. Furthermore, gender is unassociated with any of the proposed model’s constructs. Finally, there is no significant correlation between academic performance and perceived satisfaction. These results led to the conclusion that even though Arabic engineering students prefer active, sensing, visual, and sequential learning as do other engineering students from different backgrounds, they can adapt to a learning context even if their preferences are not met. The research contributes empirically to the existing debate regarding the potential implications of learning styles and for the Arabic context in particular, since respective research remains rare.

Testing the DeLone-McLean Model of Information System Success in an E-Learning Context

2011 ◽  
pp. 82-109 ◽  
Author(s):  
Sean B. Eom ◽  
James Stapleton
Keyword(s):  
Information System ◽  
Structural Equation Modeling ◽  
User Satisfaction ◽  
Structural Equation ◽  
Information Quality ◽  
Quality System ◽  
Learning Theories ◽  
Equation Modeling ◽  
Learning Context ◽  
E Learning

This chapter has two important objectives (a) introduction of structural equation modeling for a beginner; and (b) empirical testing of the validity of the information system (IS) success model of DeLone and McLean (the DM model) in an e-learning environment, using LISREL based structural equation modeling. The following section briefly describes the prior literature on course delivery technologies and e-learning success. The next section presents the research model tested and discussion of the survey instrument. The structural equation modeling process is fully discussed including specification, identification, estimation, testing, and modification of the model. The final section summarizes the test results. To build e-learning theories, those untested conceptual frameworks must be tested and refined. Nevertheless, there has been very little testing of these frameworks. This chapter is concerned with the testing of one such framework. There is abundant prior research that examines the relationships among information quality, system quality, system use, user satisfaction, and system outcomes. This is the first study that focuses on the testing of the DM model in an e-learning context.

scholarly journals Structural Equation Modeling for Investigating the Factors Affecting the Faculty Members Adoption and Use of E-Learning Platform in Academic Purposes: An Empirical Validation in Higher Educational Context

2018 ◽  
Vol 7 (2) ◽  
pp. 21-29
Author(s):  
Hitesh Choudhury ◽  
Guruprasad Khataniar
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Faculty Members ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Factors Affecting ◽  
East Indian ◽  
North East ◽  
Learning Platform ◽  
E Learning

E-learning Platform is one of the most flexible and important innovations for delivering education in modern educational system. However successful implementation of the E-learning Platform (ELP) depends on the users behavioral intension of adoption. Most of the Higher educational institutions in North-East Indian region is using Information and Communication Technology in teaching and learning process and moving towards the adoption of ELP. In this paper the main focus is to examine the factors affecting the faculty members perception and adoption of E-learning platform in academic purposes. In the theoretical framework of this study Technology Acceptance Model (TAM) is used to analyze the perception and behavioral intension of faculty members adoption and use of E-learning platform in academic purposes. The theoretical framework is proposed that includes the core construct of TAM namely Perceived Usefulness, Perceived Ease of Use, Attitudes towards using together with two external variables namely E-learning Self Efficacy and Job Relevance. The data were collected from 81 full time/part time faculty members of randomly selected University/Colleges in North East Indian region through a self-designed questionnaire comprising 21 items that represent the above mentioned six constructs. The data were used to validate and hypothesized research model. The data analysis was performed through structural equation modeling (SEM) by using the software package SPSS version 16 together with STATA. The study reveals that the adoption and using E-learning platform mainly depends on the behavioral intention and attitude towards using the platform. Perceived usefulness and job relevance are the most strongest and important predictors of behavioral intention and attitude towards using E-learning platform in academic purposes.

Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform

2019 ◽  
Vol 29 (1) ◽  
pp. 167-193 ◽  
Author(s):  
Yu-Hsin Chen ◽  
Ching-Jui Keng
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
English Learning ◽  
Content Type ◽  
Learning Platform ◽  
Perceived Price ◽  
Real Person

Purpose The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service. Design/methodology/approach Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model. Findings The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform. Practical implications The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations. Originality/value The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.

scholarly journals THE INFLUENCE OF E-LEARNING CHARACTERISTICS AND BASIC ICT COMPETENCIES TO ACTUAL USAGE OF E-LEARNING: A PATH DIAGRAM MODEL

2015 ◽  
Vol 11 (2) ◽  
pp. 59
Author(s):  
I Made Suarta ◽  
I Ketut Suwintana
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
E Learning ◽  
Ict Competencies

In this paper, the Technology Acceptance Model (TAM) is extent with two external stimulus namely e-learning characteristics and basic ICT (Information and Communication Technology) competencies. The purpose of this study are (1) finding relationship between e-learning characteristics and lecturers’ basic ICT competencies with the perceived ease of use and perceived usefulness of e-learning; and (2) determining the effect of e-learning characteristics and lecturer basic ICT competencies to the actual usage of e-learning. Research subjects are Bali State Polytechnic lecturers who have attended the elearning training. In this study, to collect the data sample, a non-random sampling technique is adopted. The data is collected by self-administered questionnaires and is analyzed using structural equation modeling. Basic ICT competencies of the Bali State Polytechnic lecturers are good, but the level of actual usage of e-learning is very low. Basic ICT competence shows no significant effect on the perceived ease of use and perceived usefulness of e-learning. The actual usage of e-learning also has low implications. E-learning characteristics show a significant effect on perceived ease of use and perceived usefulness of e-learning, which implies the change attitude and behavior in the use of elearning. Characteristics of e-learning become a determinant factor in the adoption and use of elearning. The findings will help lecturer a better understanding to the mechanism of e-learning adoption. The study recommends for polytechnic institutions to make a systematic effort to provide lecturers with training on how to use e-learning system effectively. A further research to identify other factors that may influence lecturers' attitudes toward the adoption of e-learning system is demanded following this research.

scholarly journals Student's Learning Strategies and Academic Emotions: Their Influence on Learning Satisfaction During the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Changcheng Wu ◽  
Bin Jing ◽  
Xue Gong ◽  
Ya Mou ◽  
Junyi Li
Keyword(s):  
Online Learning ◽  
Learning Strategies ◽  
Online Teaching ◽  
Value Theory ◽  
Equation Modeling ◽  
Behavioral Engagement ◽  
Learning Context ◽  
Academic Emotions ◽  
Learning Satisfaction ◽  
Learning Platform

Background: Based on the control-value theory (CVT), learning strategies and academic emotions are closely related to learning achievement, and have been considered as important factors influencing student's learning satisfaction and learning performance in the online learning context. However, only a few studies have focused on the influence of learning strategies on academic emotions and the interaction of learning strategies with behavioral engagement and social interaction on learning satisfaction.Methods: The participants were 363 pre-service teachers in China, and we used structural equation modeling (SEM) to analyze the mediating and moderating effects of the data.Results: The main findings of the current study showed that learning strategies influence students' online learning satisfaction through academic emotions. The interaction between learning strategies and behavioral engagement was also an important factor influencing online learning satisfaction.Conclusions: We explored the internal mechanism and boundary conditions of how learning strategies influenced learning satisfaction to provide intellectual guarantee and theoretical support for the online teaching design and online learning platform. This study provides theoretical contributions to the CVT and practical value for massive open online courses (MOOCs), flipped classrooms and blended learning in the future.

scholarly journals Leipzig’s Social Hypertext Reader SHRIMP and the “Introduction to American Studies”

2020 ◽  
Author(s):  
Sebastian M. Herrmann
Keyword(s):  
Learning Outcomes ◽  
Learning Analytics ◽  
American Studies ◽  
Learning Experience ◽  
Medium Of Instruction ◽  
Age Changes ◽  
Learning Platform ◽  
Bachelor Of Arts ◽  
Main Medium ◽  
E Learning

This article describes the ideas behind and the experiences with the experimental e-learning platform SHRIMP. Developed and deployed at American Studies Leipzig, the platform is used for the introductory Literature and Culture I seminar in the American Studies Bachelor of Arts program, and it serves as the main medium of instruction for around 80 students per year. It breaks up the linear form of the original seminar reader and instead offers students a hypertext of interconnected, short segments, enriched with social media and gamification elements, as well as a learning analytics component that invites students to take control of their own study and learning experience. It is driven by a dual assumption about digitization: that the digital age changes how students interact with text, and that digital textuality offers rich affordances beyond linear reading. Both can be harnessed to improve learning outcomes.

Investigating Relationships Between Supply Chain Capabilities, Competitive Advantage, and Business Performance

2018 ◽  
pp. 477-503
Author(s):  
Navee Chiadamrong ◽  
Tran Thi Tham
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Business Performance ◽  
Food Industry ◽  
Critical Factor ◽  
Business Environment ◽  
Equation Modeling ◽  
Competitive Advantages ◽  
Manufacturing Companies ◽  
Food Industries

Growing in the competitive environment, organizations need to find ways to improve their performance even better by ensuring that all key drivers are being developed and utilized effectively. Thai and Vietnamese food industries are rapidly growing sectors. This study investigates the relationships between supply chain capabilities and competitive advantages towards business performance, and compares the above mentioned relationships between Thai and Vietnamese food industries. The data were gathered from conducted surveys with the food manufacturing companies in both countries, and tested by Structural Equation Modeling. The empirical results show that supply chain capabilities play an important role in business improvement in both countries. While, supply chain integration is considered as a critical factor for the Vietnamese food industry, human resource management is much regarded as important for the Thai food industry. These findings help companies in each country decide the best strategy for differentiating themselves in their business environment.

Connecting Teacher-Made Assessments to Course Learning Outcomes Through Learning Analytics

2019 ◽  
pp. 101-125
Author(s):  
Julia Chen ◽  
Dennis Foung
Keyword(s):  
Learning Outcomes ◽  
Learning Analytics ◽  
Structural Equation ◽  
Data Driven ◽  
Equation Modeling ◽  
Curriculum Alignment ◽  
Outcome Based Education ◽  
Data Driven Approach ◽  
The Subject

This chapter explores the possibility of adopting a data-driven approach to connecting teacher-made assessments with course learning outcomes. The authors begin by describing several key concepts, such as outcome-based education, curriculum alignment, and teacher-made assessments. Then, the context of the research site and the subject in question are described and the use of structural equation modeling (SEM) in this curriculum alignment study is explained. After that, the results of these SEM analyses are presented, and the various models derived from the analyses are discussed. In particular, the authors highlight how a data-driven curriculum model can benefit from input by curriculum leaders and how SEM provides insights into course development and enhancement. The chapter concludes with recommendations for curriculum leaders and front-line teachers to improve the quality of teacher-made assessments.

Educational Services in Second Life

2011 ◽  
Vol 6 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Joana Ancila Pessoa Forte ◽  
Danielle Miranda de Oliveira Arruda Gomes ◽  
Cláudio André Gondim Nogueira ◽  
Carlos Felipe Cavalcante de Almeida
Keyword(s):  
Learning Environment ◽  
Second Life ◽  
Social Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Online Learning Environment ◽  
Online Environment ◽  
Multivariate Statistical ◽  
Confirmatory Factor ◽  
E Learning

Among many changes influenced by the Internet, interactivity in spaces that promote relationships, entertainment, and businesses can be highlighted. Considering this, Second Life stands out because it is a tridimensional online environment which imitates human real social life. Despite social and commercial influences, Second Life suggests a new format for e-learning. Then, the question of how to explore the facets of an online learning environment may be answered by Flow Theory. Hence, the main objective of this paper is to analyze the most significant antecedent and subsequent relations of the Flow Experience in the Second Life’s educational environment, based on Novak, Hoffman, and Yung (2000). This research used tools from multivariate statistical analysis such as confirmatory factor analysis and structural equation modeling. The results confirmed the hypotheses, indicating that there is flow in Second Life’s e-learning environment, with interactive speed, exploratory behavior and telepresence as the most significant constructs detected.

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