Adaptive Learner-CBT with Secured Fault-Tolerant and Resumption Capability for Nigerian Universities

Abstract

The post covid-19 studies have reported significant negative impact witnessed on global education and learning with the closure of schools' physical infrastructure from 2020 to 2022. Its effects today continues to ripple across the learning processes even with advances in e-learning or media literacy. The adoption and integration therein of e-learning on the Nigerian frontier is yet to be fully harnessed. From traditional to blended learning, and to virtual learning -Nigeria must rise, and develop new strategies to address issues with her educational theories as well as to bridge the gap and negative impact of the post covid-19 pandemic. This study implements a virtual learning framework that adequately fuses the alternative delivery asynchronouslearning with traditional synchronous learning for adoption in the Nigerian Educational System. Result showcases improved cognition in learners, engaged qualitative learning, and a learning scenario that ensures a power shift in the educational structure that will further equip learners to become knowledge producer, help teachers to emancipate students academically, in a framework that measures quality of engaged student's learning.

Pilot Study on Web Server HoneyPot Integration Using Injection Approach for Malware Intrusion Detection

“…Thus, the study is motivated (Chibuzo & Isiaka, 2020;Durojaye et al, 2015;Malasowe et al, 2023;Ojugo & Eboka, 2018a as: 1. Previous deployment and enhancement of security measures to ensure intruders or adversaries are identified cum kept at bay are error prone.…”

StreamBoostE: A Hybrid Boosting-Collaborative Filter Scheme for Adaptive User-Item Recommender for Streaming Services

“…Malasowe et al [33] extended Ojugo et al [41] by investigating the use of collaborative filtering technique to recommend an adaptive personalized learning schemes, which provided users with a learner-centered educational resources tailored to a specific student learning style; And in turn yielded improved academic goals outcome with personalized subject interests and topics. It agreed with [85] that results provided insight to facilitate personalized learning experiences as well as in formative testing skills [86] as was requisite for blended-learning approach [87] for adoption explosion during covid-19 era [88]- [91].…”

“…Many websites, online platforms and portals today -have continued to explore, exploit and proliferate exponentially with the ever-increased growth in user-generated content(s) [27]. With such, the role of collaborative filters to refocus and reshape personalized user-experiences is repositioned and poised to become even more prominent [28]- [30], concretizing its status as a frontier methodology for recommendation systems [31]- [33]. The popularity of collaborative filter is attributed to its domain independence/dominance, scalability, and minimal requirement for additional user or item information beyond historical interactions [34].…”

Handling Transactional Data Features via Associative Rule Mining for Mobile Online Shopping Platforms

“…This helps us to better understand the varied levels of abstraction [33] and in-depth knowledge patterns that can be revealed behind various hidden values in data as they are stored in repositories [34]. The nature of many basket tasks is that the transactions are handled in real-time making it apparently tedious and quite difficult to manage [35]. With such transactions, items are either purchased alone, or as a combination of itemset(s) to form a basket [36].…”