Volume 1, No.1
Maximizing Artificial Intelligence and Innovations toward Achieving the Sustainable Development Goals
Bakwa Dunka Dirting, Gloria A.Chukwudebe, Euphemia C.Nwakorie
Abstract
The Sustainable Development Goals (SDGs) encapsulate global priorities for achieving a better 2030, outlining a plan of action through 17 identified goals to address humanity's critical challenges. This article explores the timely and impactful utilization of AI technologies to drive progress toward the SDGs, examining their potential impact in shaping a sustainable future. The study identifies and suggests specific AI initiatives to expedite progress in meeting SDG goals. The focus is on countering fundamental challenges through AI and related innovations, emphasizing the inter-relationships between SDGs, target areas, and AI innovations. Recommendations highlight AI's role in supporting economic growth, environmental sustainability, social inclusivity, and effective governance. It underscores the importance of ethical and responsible AI development for maximizing benefits and minimizing risks. The integration of AI and SDGs presents an opportunity for a more sustainable and inclusive global future.
Keywords: Sustainable development goals (SDGs), Applications of Artificial Intelligence in SDG, Innovations, Development.
APPLICABILITY OF DATA MINING SOFTWARE IN PROBLEM-SOLVING AND DATA ANALYSIS
Eze John E, Eze L. Ifeoma, & Eze G. Nnedinso
Abstract
Information plays vital role in every sphere of the human life. It is very important to gather data
from different data sources, store and maintain the data, generate information, generate
knowledge and disseminate data, information and knowledge to every stakeholder. Due to vast
use of computers and electronics devices and tremendous growth in computing, power and
storage warehouse enables entire enterprise to access a reliable current database. To analyze
this vast amount of data and drawing fruitful conclusions and inferences, it needs the special
tools called data mining tools. This paper gives an overview of the data mining software tools,
data mining techniques, data mining task, its applications in problem solving and data analysis
and challenges of data mining usage.
Keywords
Data mining, Data mining task, Data mining software ,Data mining techniques, Knowledge
discovery process, Data mining applications
Extent of Utilization of Blended Learning by Lecturers for Teaching and Students' Assessment in Computer and Robotics Education in Public Universities in Enugu State
Eze, Angela Ogechi & Olelewe, Chijioke (Ph. D)
Abstract
This study sought to analyze the extent of utilization of blended learning for teaching and students'
assessment in computer and Robotics Education in public universities in Enugu State. The sample of
the study was 312 lecturers. The study adopted descriptive survey research design. The instrument for
data collection was a structured questionnaire. The data collected for this study was analyzed using
mean and standard deviation, while null hypotheses were tested using independent sample t-test at 0.05
level of significance. Findings from the study revealed that Lecturers moderately utilize blended
learning to conduct diagnostic and criterion-referenced assessments for teaching and students'
assessment in computer and Robotics Education in public universities in Enugu State. The findings also
revealed that there was no significant difference in the mean ratings of Lecturers with respect to years
of experience on the extent of utilization of blended learning to conduct diagnostic and criterionreference
assessments for teaching and students' assessment in computer and robotics education in
public universities in Enugu State.
It was therefore recommended among others that Public universities in Enugu State should organize
regular training workshops and seminars for lecturers to improve their digital literacy and equip them
with the skills needed to effectively implement blended learning in their teaching, particularly in
Computer and Robotic Education.
Keywords: Blended Learning; Lecturers; Students' Assessment; Teaching; Computer and Robotic
Education.
Emerging Technologies and Adaptability as Correlate of Curriculum Design and Innovation of Industrial Technology Teachers of Colleges of Education (Technical) in Northern Nigeria
Sale, Nimrod Kamo, Murtla Musa & Abdulrasheed Ibrahim Baba
Abstract
The study was carried out to determine Emerging Technologies and Adaptability as Correlate of
Curriculum Design and Innovation of Industrial Technology Teachers of Colleges of Education
(Technical) in Northern Nigeria. A structured questionnaire was used as the instrument for data
collection with 84 items. The instrument is based on five-point Likert scale. The instrument was
subjected to face validation by five experts. Cronbach alpha reliability method was used to
establish the internal consistency of the instrument 0.81 was obtained. The design of the study
was correlation research design. The population size was 98 Industrial Technology Teachers in
Federal Colleges of Education (T) Bichi, Gusau, Gombe and G-madi. Data were analyzed using
SPSS version 25. The results showed that 1. A very strong and positive correlation exists
between Emerging Technologies and adaptability of Industrial Technology Teachers in colleges
of education (technical) in northern Nigeria. 2. A very strong and positive correlation exists
between Emerging Technologies and curriculum design of Industrial Technology Teachers in
colleges of education (technical) in northern Nigeria. 3. A very strong and positive correlation
exists between Emerging Technologies and curriculum innovation of Industrial Technology
Teachers in colleges of education (technical) in northern Nigeria. The following
recommendation were made that the findings should 1. Be integrated into Curriculum Design for
Industrial Technology Education. The study concludes that the implementation of emerging
technologies in technology education underscores the necessity for ongoing professional
development for educators, ensuring they remain informed about technological trends and
pedagogical strategies.
Keywords: Emerging Technologies, Teachers, Adaptability, Curriculum Design, Innovation
Implementation of a Visualized Multi-Label Hate-speech Intensity model using Gradio
Bakwa Dunka Dirting, Okpe Josephine O., Gloria A. Chukwudebe, Ikechukwu Ignatius Ayogu, Euphemia C. Nwakorie
Abstract:
Past studies have contributed quite significantly to
the detection of hate speech on social media platforms.
However, most of such models stop at evaluating the models‟
efficacy. This has to be taken further with the provisions of the
new ML UI tools to visually design an explainable predictive
model with the plausibility of real-world usefulness beyond just
accuracy. With this, classifying, scoring, and visualizing hate
speeches from its mildest to aggressive form would be essential for
the regulators of social networks and moderators of social platforms
to be well-informed about the consequential scale of societal hate
polarization flowing in the social space. UI visualization of hate
speech provides high level warning signal that could go miles for
actions that assuages the risk of potential violence. This study
implements a user interface for determing the intensity of hate
speech using Gradio and the well-known BERT model. BERT
leverages the power of word contextualization and parallelization to
reveal the most useful information from its key predictions. The
proposed model was contextually efficient in differentiating between
related hate comments through a simple interface. This study
demonstrates a practically usable system to reliably rank the
intensity of Hate-speech by their statistical probabilities.
Keywords: Explainable Hate Speech, Hate Speech User Interface,
Hate Speech Intensity, Multi-label Classification, BERT, Gradio
UTILIZATION OF MOBILE DEVICES IN LEARNING TO ENHANCE ACADEMIC ACHIEVEMENT OF VOCATIONAL AND TECHNICAL EDUCATION STUDENTS
Dr. Eze, B.N. and Asogwa E.C
ABSTRACT
Utilization of mobile devices in learning to enhance academic achievements of the vocational
and technical Education students is very important for the academic success of the students. This
study aims at determining the extent of utilization of the mobile devices in learning to enhance
academic achievement of the vocational and technical Education students. To achieve the
purpose of the study, three research questions were developed and answered by the study. The
research design adopted for the study was descriptive survey. 53 items structured questionnaire
was developed and used for data collection. The developed instruments were subjected to face
validation after which the final copies were given to the respondents. The consistency of the
instruments was determined using Cronbach alpha reliability coefficient and a reliability
coefficient 0.70 was obtained. The data collected were analyzed using mean, standard deviation
and analysis of variance (ANOVA). The study found the utilization of mobile phone in very high
extent on three items, high extent on four items and low extent on four items on enhancing the
academic achievement of the students. Utilization of calculator in very high extent on three
items. It was found that students utilized mobile phone to read and download lecture material to
a very high extent. Conclusion was given and recommendations also were made that students
should be given good orientation on the utilization of mobile devices to enhance their academic
achievement.
Key words: Mobile device, students, academic achievement, Utilization, enhancement.
Utilising a unique method to monitor Large Oil Storage Tanks' deformations via Interferometric Synthetic Aperture Radar (InSAR)
Nwodo G.O., Chiemela Victor Amaechi and Alohan N.O