The Use of Learning Management Systems for Self-paced Learning: The Case at a South African Public Access Centre
- URL: http://arxiv.org/abs/2608.13351v1
- Date: Thu, 13 Aug 2026 15:17:59 GMT
- Title: The Use of Learning Management Systems for Self-paced Learning: The Case at a South African Public Access Centre
- Abstract summary: This study investigates the use of a Learning Management System (LMS) to support self-paced learning at a South African Public Access Centre (PAC)<n>Through semi-structured interviews with thirty-eight learners and thematic analysis, the research explores opportunities and challenges associated with LMS adoption.<n>Findings reveal that PACs play a critical role in promoting ICT skills and digital inclusion, offering learners flexible access to learning resources and fostering empowerment.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: This study investigates the use of a Learning Management System (LMS) to support self-paced learning at a South African Public Access Centre (PAC), using the I-CAN Centre as a case study. Through semi-structured interviews with thirty-eight learners and thematic analysis, the research explores opportunities and challenges associated with LMS adoption. Findings reveal that PACs play a critical role in promoting ICT skills and digital inclusion, offering learners flexible access to learning resources and fostering empowerment. While LMS use enhances convenience and supports blended learning as the preferred approach, persistent challenges, such as poor connectivity, outdated infrastructure, and unclear course instructions, limit its effectiveness. These findings highlight the need for infrastructural upgrades and user-centric design to optimise LMS implementation in community-based learning environments.
Related papers
- Large Language Models for Web Accessibility: A Systematic Literature Review [5.170807667319543]
Large Language Models (LLMs) have been increasingly explored to support accessibility-related tasks on the web.<n>We present a systematic literature review of 38 peer-reviewed studies that investigate the use of LLMs in web accessibility contexts.
arXiv Detail & Related papers (2026-05-06T01:40:27Z) - A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions [60.897488753340674]
Reinforcement learning (RL) has emerged as a powerful post-training paradigm for enhancing the reasoning capabilities of large language models (LLMs)<n>RL faces substantial data scarcity challenges, including the limited availability of high-quality external supervision and the constrained volume of model-generated experience.<n>We propose a bottom-up hierarchical framework built around three complementary perspectives: the data-centric perspective, the training-centric perspective, and the framework-centric perspective.
arXiv Detail & Related papers (2026-04-19T08:01:31Z) - An Empirical Study of Federated Prompt Learning for Vision Language Model [89.2963764404892]
This paper systematically investigates the behavioral differences between language prompt learning (VPT) and vision prompt learning (VLM)<n>We evaluate the impact of various FL and prompt configurations, such as client scale, aggregation strategies, and prompt length, to assess the robustness of Federated Prompt Learning (FPL)
arXiv Detail & Related papers (2025-05-29T03:09:15Z) - Enhanced Bloom's Educational Taxonomy for Fostering Information Literacy in the Era of Large Language Models [16.31527042425208]
This paper proposes an LLM-driven Bloom's Educational Taxonomy that aims to recognize and evaluate students' information literacy (IL) with Large Language Models (LLMs)<n>The framework delineates the IL corresponding to the cognitive abilities required to use LLM into two distinct stages: Exploration & Action and Creation & Metacognition.
arXiv Detail & Related papers (2025-03-25T08:23:49Z) - Position: LLMs Can be Good Tutors in English Education [120.25980336297444]
Large language models (LLMs) have the potential to serve as effective tutors in English Education.<n>LLMs can play three critical roles: as data enhancers, improving the creation of learning materials or serving as student simulations.
arXiv Detail & Related papers (2025-02-08T06:48:49Z) - How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments? [0.8999666725996978]
This study introduces an approach that integrates dynamic knowledge graphs with large language models (LLMs) to offer nuanced student assistance.<n>Central to this method is the knowledge graph's role in assessing a student's comprehension of topic prerequisites.<n>Preliminary findings suggest students could benefit from this tiered support, achieving enhanced comprehension and improved task outcomes.
arXiv Detail & Related papers (2024-12-05T04:05:43Z) - Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization [62.16747639440893]
Large language models (LLMs) and their associated technologies advance, particularly in the realms of prompt engineering and agent engineering.<n>Our proposed framework incorporates retrieval-augmented generation (RAG) to enhance the system's ability to acquire domain-specific knowledge and generate solutions.
arXiv Detail & Related papers (2024-08-07T08:43:32Z) - Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems [62.252355444948904]
This paper presents the findings of a literature review on the integration of edge intelligence (EI) and socialized learning (SL)
SL is a learning paradigm predicated on social principles and behaviors, aimed at amplifying the collaborative capacity and collective intelligence of agents.
We elaborate on three integrated components: socialized architecture, socialized training, and socialized inference, analyzing their strengths and weaknesses.
arXiv Detail & Related papers (2024-04-20T11:07:29Z) - Rethinking Machine Unlearning for Large Language Models [85.92660644100582]
We explore machine unlearning in the domain of large language models (LLMs)<n>This initiative aims to eliminate undesirable data influence (e.g., sensitive or illegal information) and the associated model capabilities.
arXiv Detail & Related papers (2024-02-13T20:51:58Z) - 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) - 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) - Toward Multiple Federated Learning Services Resource Sharing in Mobile
Edge Networks [88.15736037284408]
We study a new model of multiple federated learning services at the multi-access edge computing server.
We propose a joint resource optimization and hyper-learning rate control problem, namely MS-FEDL.
Our simulation results demonstrate the convergence performance of our proposed algorithms.
arXiv Detail & Related papers (2020-11-25T01:29:41Z)
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.