An Enterprise Architecture Framework for E-learning
- URL: http://arxiv.org/abs/2105.07857v1
- Date: Fri, 7 May 2021 15:16:22 GMT
- Title: An Enterprise Architecture Framework for E-learning
- Authors: Abbas Najafizadeh, Maryam Saadati, S. Mahdi Jamei, S. Shervin
Ostadzadeh
- Abstract summary: Building an Enterprise Architecture (EA) undoubtedly serves as a fundamental concept to accomplish this goal.
The presented framework helps developers to design and justify completely integrated learning and teaching processes and information systems.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: With a trend toward becoming more and more information and communication
based, learning services and processes were also evolved. E-learning comprises
all forms of electronically supported learning and teaching. The information
and communication systems serve as a fundamental role to implement these
learning processes. In the typical information-driven organizations, the
E-learning is part of a much larger platform for applications and data that
extends across the Internet and intranet/extranet. In this respect, E-learning
has brought about an inevitable tendency to lunge towards organizing their
information based activities in a comprehensive way. Building an Enterprise
Architecture (EA) undoubtedly serves as a fundamental concept to accomplish
this goal. In this paper, we propose an EA for E-learning information systems.
The presented framework helps developers to design and justify completely
integrated learning and teaching processes and information systems which
results in improved pedagogical success rate.
Related papers
- From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents [78.15899922698631]
MAIC (Massive AI-empowered Course) is a new form of online education that leverages LLM-driven multi-agent systems to construct an AI-augmented classroom.
We conduct preliminary experiments at Tsinghua University, one of China's leading universities.
arXiv Detail & Related papers (2024-09-05T13:22:51Z) - Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models [49.043599241803825]
Iterative Contrastive Unlearning (ICU) framework consists of three core components.
A Knowledge Unlearning Induction module removes specific knowledge through an unlearning loss.
A Contrastive Learning Enhancement module to preserve the model's expressive capabilities against the pure unlearning goal.
And an Iterative Unlearning Refinement module that dynamically assess the unlearning extent on specific data pieces and make iterative update.
arXiv Detail & Related papers (2024-07-25T07:09:35Z) - Development of an open education resources (OER) system: a comparative analysis and implementation approach [0.0]
The project includes a comparative analysis of the top five open-source Learning Management Systems (LMS)
The primary objective is to create a web-based system that facilitates the sharing of educational resources for non-commercial users.
arXiv Detail & Related papers (2024-05-26T05:58:45Z) - Informed Meta-Learning [55.2480439325792]
Meta-learning and informed ML stand out as two approaches for incorporating prior knowledge into ML pipelines.
We formalise a hybrid paradigm, informed meta-learning, facilitating the incorporation of priors from unstructured knowledge representations.
We demonstrate the potential benefits of informed meta-learning in improving data efficiency, robustness to observational noise and task distribution shifts.
arXiv Detail & Related papers (2024-02-25T15:08:37Z) - Empowering Private Tutoring by Chaining Large Language Models [87.76985829144834]
This work explores the development of a full-fledged intelligent tutoring system powered by state-of-the-art large language models (LLMs)
The system is into three inter-connected core processes-interaction, reflection, and reaction.
Each process is implemented by chaining LLM-powered tools along with dynamically updated memory modules.
arXiv Detail & Related papers (2023-09-15T02:42:03Z) - Enhancing E-Learning System Through Learning Management System (LMS)
Technologies: Reshape The Learner Experience [0.0]
This E-Learning System can fit any educational needs as follows: chat, virtual classes, supportive resources for the students, individual and group monitoring, and assessment using LMS as maximum efficiency.
arXiv Detail & Related papers (2023-09-01T02:19:08Z) - Easy-to-Hard Learning for Information Extraction [57.827955646831526]
Information extraction systems aim to automatically extract structured information from unstructured texts.
We propose a unified easy-to-hard learning framework consisting of three stages, i.e., the easy stage, the hard stage, and the main stage.
By breaking down the learning process into multiple stages, our framework facilitates the model to acquire general IE task knowledge and improve its generalization ability.
arXiv Detail & Related papers (2023-05-16T06:04:14Z) - A Network Science Perspective to Personalized Learning [0.0]
We examine how learning objectives can be achieved through a learning platform that offers content choices and multiple modalities of engagement to support self-paced learning.
This framework brings the attention to learning experiences, rather than teaching experiences, by providing the learner engagement and content choices supported by a network of knowledge.
arXiv Detail & Related papers (2021-11-02T01:50:01Z) - A Graduate Course on E-commerce Information Systems Engineering [10.183719677502062]
This paper describes the development of a graduate course in E-commerce education that has been implemented as part of an Honours degree programme and a first year Masters offering for a traditional Information Systems programme.
The aim of this course is to give graduate students a broad grounding and holistic set of skills to enable them to begin successful E-commerce systems development.
arXiv Detail & Related papers (2021-06-03T23:05:22Z) - Comparative Study of Learning Outcomes for Online Learning Platforms [47.5164159412965]
Personalization and active learning are key aspects to successful learning.
We run a comparative head-to-head study of learning outcomes for two popular online learning platforms.
arXiv Detail & Related papers (2021-04-15T20:40:24Z) - Challenges of Applying E-Learning in the Libyan Higher Education System [5.607676459156789]
This paper endeavors to find the obstacles that may face the adoption of E-learning in Libya.
It highlights the potentials for the adoption of E-learning in the higher education system in Libya using both qualitative and quantitative approaches.
arXiv Detail & Related papers (2021-02-17T03:20:46Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.