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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
California State University, San Bernardino
Journal of International Technology and Information Management
- Keyword
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- Adaptive learning systems (1)
- Agent-based Modeling (ABM) (1)
- And Interdependent Learning Processes (1)
- And skills development. (1)
- Data Mining (1)
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- Distance education (1)
- E-Learning Success Model (1)
- ICT (1)
- Information and communication technology (1)
- Learning Outcomes (1)
- Personalisation (1)
- Process mining (1)
- Process modelling (1)
- SAS (1)
- STEM (1)
- Science Technology Engineering & Mathematics (STEM) education modeling (1)
- Self-Regulated Learning (1)
- Sentiment Analysis (1)
- Simulation (1)
- Social media (1)
- Student Satisfaction (1)
- Systematic review. (1)
- Text Mining (1)
- Tutorial function (1)
- User profiles (1)
Articles 1 - 5 of 5
Full-Text Articles in Social and Behavioral Sciences
Learning Outcomes And Learner Satisfaction: The Mediating Roles Of Self-Regulated Learning And Dialogues, Sean Eom, Nicholas Jeremy Ashill
Learning Outcomes And Learner Satisfaction: The Mediating Roles Of Self-Regulated Learning And Dialogues, Sean Eom, Nicholas Jeremy Ashill
Journal of International Technology and Information Management
The interdependent learning process is regarded as a crucial part of e-learning success, but it has been largely ignored in e-learning empirical research. Grounded in constructivist and social constructivist theory, we present and test an e-learning success model consisting of eight e-learning critical success factors (CSF) derived from constructivist and social constructivist models. Three hundred seventy-two on-line students from a Midwestern university in the United States participated in the survey. The data collected from the survey was used to examine the partial least squares structural equation model. The results highlight the importance of self-regulated learning and dialogical processes to explain …
A Systematic Review Of Process Modelling Methods And Its Application For Personalised Adaptive Learning Systems, Kingsley Okoye
A Systematic Review Of Process Modelling Methods And Its Application For Personalised Adaptive Learning Systems, Kingsley Okoye
Journal of International Technology and Information Management
This systematic review work investigates current literature and methods that are related to the application of process mining and modelling in real-time particularly as it concerns personalisation of learning systems, or yet still, e-content development. The work compares available studies based on the domain area of study, the scope of the study, methods used, and the scientific contribution of the papers and results. Consequently, the findings of the identified papers were systematically evaluated in order to point out potential confounding variables or flaws that might have been overlooked or missing in the current literature. In turn, a critical structured analysis …
Agent-Based Modeling And Simulation Approaches In Stem Education Research, Shanna R. Simpson-Singleton, Xiangdong Che
Agent-Based Modeling And Simulation Approaches In Stem Education Research, Shanna R. Simpson-Singleton, Xiangdong Che
Journal of International Technology and Information Management
The development of best practices that deliver quality STEM education to all students, while minimizing achievement gaps, have been solicited by several national agencies. ABMS is a feasible approach to provide insight into global behavior based upon the interactions amongst agents and environments. In this review, we systematically surveyed several modeling and simulation approaches and discussed their applications to the evaluation of relevant theories in STEM education. It was found that ABMS is optimal to simulate STEM education hypotheses, as ABMS will sensibly present emergent theories and causation in STEM education phenomena if the model is properly validated and calibrated.
Using Sas™ Software To Enhance Pedagogy For Text Mining And Sentiment Analysis Using Social Media (Twitter™) Data, Ramesh Subramanian, Danielle Cote
Using Sas™ Software To Enhance Pedagogy For Text Mining And Sentiment Analysis Using Social Media (Twitter™) Data, Ramesh Subramanian, Danielle Cote
Journal of International Technology and Information Management
This pedagogical paper describes how a graduate course in Text Mining was developed and taught in a fully online format at Quinnipiac University. The software used was SAS™ Enterprise Miner. This paper discusses the design, software used and the methodology followed in the course. A critical component of the course required the students to delve deep into social media data by completing a detailed project on analyzing sentiment analysis using large files of social media data. A sample report of this project, which was a key deliverable for the course, is described at length in this paper.
Developing Ict Skills Of Stem Teachers In Mexico: The Key Role Of The Tutorial Function, Alexander N. Chen, David Mccalman, Mark E. Mcmurtrey, J. Gabriel Domínguez Castillo, Víctor Manuel Cab Pech
Developing Ict Skills Of Stem Teachers In Mexico: The Key Role Of The Tutorial Function, Alexander N. Chen, David Mccalman, Mark E. Mcmurtrey, J. Gabriel Domínguez Castillo, Víctor Manuel Cab Pech
Journal of International Technology and Information Management
It is well documented in distance education literature that one of the factors that are considered essential to the success of an online course is the tutorial function. The role of counselor consists of assisting and encouraging students, building learning activities, and developing support strategies for the use of technology. The tutor thus was assessed as one element of great importance in on-line education, and, to some, an essential feature of this mode. In this paper, the importance of the tutorial function and its effect on the development of skills for using information and communication technology (ICT) in science, technology, …