Papers by Ismail Olaniyi MURAINA
International journal of applied mathematics, computational science and systems engineering, Jun 21, 2024
The manual approach to resolving assignment issues involving the distribution or assignment of gr... more The manual approach to resolving assignment issues involving the distribution or assignment of graduate students to lecturers for projects or thesis studies continues to be difficult and time-consuming for both the involved departments and the students. Even though it is evident that a student must be paired with a lecturer, there are significant problems with matching due to individual preferences, specializations, interests, prior student-teacher relationships, and other factors directly or indirectly related to the distribution process. This study uses a reliable matching technique to address issues with project allocation and distribution optimization problems, ten lecturers and ten graduate students participated. A matching algorithm is provided randomly, with students favouring a lecturer (although these roles are reversible). The lists of preferences for students and lecturers are input into the algorithm. Students and lecturers are split into two categories throughout the algorithm: those previously selected and those who have not yet been determined (free). Both instructors and students are initially accessible. The method chooses one student X randomly from the group of free students, provided that the group is not empty. Student X prefers a lecturer (let's say lecturer Y) who he rates among the top lecturers he has never previously picked. The Python programming language created and executed the stable matching algorithm. The stable matching algorithm makes the allocation faster, more accurate and timely compared to manual methods.
International journal of scientific research in computer science and engineering, Jun 30, 2023
Data analysis is used in all academic disciplines. Still, research has shown that some studies ca... more Data analysis is used in all academic disciplines. Still, research has shown that some studies can appear ambiguous when the analyzed data needs to be sufficiently illustrated to identify trends, patterns, and other assumptions. These assumptions typically enable researchers to present the statistical summary using pertinent and self-explanatory graphical representations. Analysts want to use a method that will assist them in condensing the dataset's critical characteristics for straightforward interpretation and presentation to the audience. In addition to presenting the impact of preprocessing activities in assuring an error-free dataset before actual analysis is done, this study uncovers the trick to conducting an adequate investigation on the dataset to have a clean dataset for accurate analysis interpretation. The most popular preprocessing procedures, including missing values, outliers, and variable transformation, are listed. The study used a descriptive survey design technique and focused on using a questionnaire instrument to gather data from respondents using a Google Forms App. The information was collected using criteria such as gender, amount of data analysis experiences, institution type, and roles within the academic community. Both face validity and construct validity methods were used to validate the instrument. Chrobach's Alpha yielded a dependability index of 0.88, indicating good reliability. Since the data was prepared and collected online using Google Forms, the data collecting and collation process only took four days. Software for appropriate visualization was used for the analysis. The results demonstrated that thoroughly exploring the data and removing any bias or outliers is the first step that any data analyst must take before starting a proper analysis process. The usage of some of the tools available for cleaning datasets was also outlined, and it was recommended that amateur analysts take the time to learn how to utilize them. Before beginning their final year projects, final-year undergraduate and postgraduate students should be exposed to all exploratory data analysis methods.
Resolving Misconception Challenges in the Teaching and Learning of Computer Science Amongst First-Year Undergraduate Students
Social Science Research Network, Dec 31, 2022
International journal of research and scientific innovation, 2022
Everybody is confronted daily with cluster of decisions that must be appropriately taken in the p... more Everybody is confronted daily with cluster of decisions that must be appropriately taken in the process of making accurate decision; individuals are faced with and most often fall prey to series of common biases, fallacies, and many other decision making odds. In determining which algorithm to apply for analysis (with machine learning algorithms/models) open to critical steps to be taken and also highly depend on many factors ranging from the type of problem at hand, the condition to choose a model and to the expected outcomes. The study looks at how artificial intelligent approach with expert system would be helpful in making timely decision on which type of algorithm(s) is/are capable to be applied and implemented to have desired results. The study also uses VisiRule software to model series of successful channels to arrive at a good decision making means. The use of VisiRule (Artificial Intelligent Based Expert System) was employed to give directional path ways to the selection of appropriate algorithms from supervised and unsupervised machine learning to different classification methods, regression methods, clustering approaches, dimensionality reduction methods, and association rules. The outcome of this study demonstrates the easy way through paths to select relevant and most appropriate model or algorithm that best fit the analysis at hand with detailed explanation of each alternative option. The use of VisiRule software has proven the easy way to achieve decision making problems without any codes requirement for such actions. Decision making challenges could be resolved by just implementing artificial intelligent rule-based expert system which require less time, coding free, and highly achievable accurate outcomes.
Shodh Sari-An International Multidisciplinary Journal
Drone application and implementation in various domains of work and life have transformed technol... more Drone application and implementation in various domains of work and life have transformed technology in numerous ways. Drone technology has greatly benefited various industries while also making the lives of various professionals easier in completing complex tasks in a short period. Studies proved that by introducing drones into classrooms, teachers would have a new means to make learning more fun, innovative, interactive, and collaborative for students. Drones can be applied in challenging subjects like sciences: Computer science, Biology, Physics, Chemistry, Geography, and others to clear off difficulties in some abstract concepts by giving real-world applications to the problems. However, some teachers are skeptical of the use of drones in science teaching and learning. The purpose of this paper is to investigate teachers’ actions and reactions to the application and implementation of drone technology in the classroom. It goes on to explain how teachers’ knowledge and professiona...
Accessibility and Use of Authoring Tools to Prepare Effective Audio and Video Course Materials in Secondary Schools in Nigeria
British Journal of Applied Science & Technology, 2015
Journal of Educational Sciences
Thinking at a rate higher than memorizing ideas or recalling verbatim what was learned in the pre... more Thinking at a rate higher than memorizing ideas or recalling verbatim what was learned in the previous lessons is a challenging task in teaching and learning biological concepts. Past studies have established many strategies to address this, but they are not directly linked to the ultimate solution to the problem. This study investigates the potency of problem-solving strategy to enhance student’s ability in higher-order thinking tasks in biology. A total of 118 senior secondary two biology students in their intact group participated in the study. The study employed a quasi-experimental group design. Data on higher-order thinking tasks were collected using 20 multiple-choice items titled Achievement Test in Higher-order Thinking Tasks (ATHOTT). Mean and standard deviation depicted in bar charts provide answers to the three research questions, while analysis of covariance was employed to test the hypotheses. The results revealed that problem-solving strategy enhanced students’ respon...
Review of Connection between ICT Practices and Climate Change in a Developing Nation
International Journal of Computer Science and Engineering, 2021
International Journal of Computational and Applied Mathematics & Computer Science
There is indisputable proof that stress, anxiety, and depression significantly and negatively imp... more There is indisputable proof that stress, anxiety, and depression significantly and negatively impact people's well-being. Recently, problems with stress and sadness have frequently resulted in a variety of chronic health concerns or even mortality. It is important to remember that stress, anxiety, and depression are all dangerous and closely associated. According to a proverb, "Life is 10% what you experience and 90% how you respond to it." This suggests that how we react to and equally manage whatever happens to us depends on how we respond to it. Several unknowns make the condition more ambiguous, such as diverse symptoms and different underlying causes of health disorders. Fuzzy can benefit medical professionals, experts, hospitals, drugs, etc. by handling the ambiguity and uncertainty of such vast amounts of data on people in these circumstances. To solve so many ambiguities, gaps in knowledge, or imprecision, fuzzy logic is frequently used. The current experiment ...
Journal of Educational Sciences , 2023
Thinking at a rate higher than memorizing ideas or
recalling verbatim what was learned in the pr... more Thinking at a rate higher than memorizing ideas or
recalling verbatim what was learned in the previous lessons
is a challenging task in teaching and learning biological
concepts. Past studies have established many strategies to
address this, but they are not directly linked to the ultimate
solution to the problem. This study investigates the potency
of problem-solving strategy to enhance student’s ability in
higher-order thinking tasks in biology. A total of 118 senior
secondary two biology students in their intact group
participated in the study. The study employed a quasiexperimental group design. Data on higher-order thinking
tasks were collected using 20 multiple-choice items titled
Achievement Test in Higher-order Thinking Tasks
(ATHOTT). Mean and standard deviation depicted in bar
charts provide answers to the three research questions,
while analysis of covariance was employed to test the
hypotheses. The results revealed that problem-solving
strategy enhanced students’ response to higher-order
thinking tasks, male and female students did not differ in
response to higher-order thinking tasks, and gender did not
mediate with the problem-solving strategy to enhance
students’ response to higher-order thinking tasks in
biology. Teachers are, therefore, implored to engage
students in problem-solving activities.
International Journal of Higher Education Pedagogies, 2022
Student’s academic performance or achievement has from time to time been a subject of discourse t... more Student’s academic performance or achievement has from time to time been a subject of discourse to academicians, scholars, researchers and educational institutions all over the globe. To this regard, schools are expected to play major and active roles in ensuring that students actually have good performance at end of their programmes. The academic performance is normally used to classify or predict how students would be ultimately capable to withstand and face future challenges after graduation. Students’ academic performance/achievement in any course of study plays a vital role in contributing and producing outstanding students who will be future viable leaders. The use of algorithms to classify and predict students’ academic performance/achievement is not new in machine learning using different techniques like neural network, logistic regression, decision tree and many more. This study classifies and predicts with the use of graphical technique called Decision Tree. The dataset wa...
674 http://tjs.udsm.ac.tz/index.php/tjs www.ajol.info/index.php/tjs/
International Journal of Research and Innovation in Applied Science
The geometrical growth and sudden transformation of technologies as a result of Covid-19 have pro... more The geometrical growth and sudden transformation of technologies as a result of Covid-19 have provided an evolutionary means of learning online with sophisticated and enabling devices with a click. Teaching and learning online, though enabling flexibility and interactivity between the teacher and students, yet requires regulations and policies that coordinate and balance different expectations of learners and teachers. These standards and values called ethics are to be adhered to achieve the desired online goals, while avoidance of them would be mounted to immoral attitudes and behaviours that weaken online activities. The study discusses and identifies ideal ethics expected in online teaching and learning from all online activities stakeholders. It further explains how violating the regulations and policies would weaken the effective and efficient running of training, skills, and lectures online. The interview instrument was used to collect data from the students in form of focus g...
Researchers’ Artificial Intelligence Expert System Rule-Based Decision Making Using Visirule
Enterprise data integration for graduating students clearance processing: A case study of Lagos State University, Lagos, Nigeria
In some enterprises, data of heterogeneous nature (in terms of formats) are captured and stored. ... more In some enterprises, data of heterogeneous nature (in terms of formats) are captured and stored. One of the major challenges of these data storage mechanism is aggregating them for appropriate usage. The case of Nigeria higher institutions is not an exception where students‟ information are captured and stored at locations like the bursary, admission and departmental offices among others for diverse purposes. Graduating students are expected to visit each of these units and get cleared one after the other before final certification. In this paper, a data integration approach is developed to facilitate this clearance issue using Lagos State University as a case study. These data are merged irrespective of the format of storage and location and integrated into desirable format for the said purpose at a central point. Apart from proffering timely solution for the automation of graduating students‟ clearance process, the system can be made robust by easily accommodating more data format...
Contributive Effects of Cloud Computing to Positive Changes of Students’ Academic Information Accessibility
International Journal of Computer Trends and Technology, 2021
Cloud computing is seen as the delivery of computing services such as servers, storage, databases... more Cloud computing is seen as the delivery of computing services such as servers, storage, databases, networking, software, analytics, and intelligence via the use of the Internet "the cloud" to offer faster innovation, flexible resources, and speedy retrieval processes. This research work examined how cloud computing can bring about positive changes to students' academic information storage, retrieval, and sharing in Nigeria tertiary institutions. 100 students were sampled among all tertiary institution students in Lagos State. The Data collected were analyzed using simple clustered columns (Bar chart). Overall findings indicated that there was high agreement towards the fact that cloud computing is accessible free and can be accessed by an authorized owner or users, and it is always available at any time of need. Conclusions drawn from the findings suggested that the use of cloud computing has really helped students positively in their academic information storage, retrieving, and sharing purposes. Recommendation implored teachers to intensify further on the application of cloud computing in the classroom and how it is to be used to improve their information accessibility and sharing.
International Journal of Computer and organization Trends, 2014
Cell phone usage has become worldwide commodity for every person regardless of their ages. Over t... more Cell phone usage has become worldwide commodity for every person regardless of their ages. Over the years, teenagers within the age bracket of thirteen to nineteen are more vulnerable towards the use of the technology in a negative way. The study approached the implication of cell phone usage on study patterns of teens in relation with searching useful information and irrelevant information while they are studying. The study sampled 100 students within the age of 13 to 19 year. The students were selected across different levels of education for proper representations of the population; t-test and crosstabulation together with graphical representation (3D bars charts) were used to analyse the data. Among others, the findings show that female students did use cell phone to source useful information than male. In contrary, ages of students do not imply use of cell phone for either useful or irrelevant information. Lastly, the higher the level of a student the more the student source fo...
English
International Journal of Computer & Organization Trends, 2014
Science Publishing Group, 2019
Multimodal teaching and learning via visual (video), sound (music), movement (amination), print-b... more Multimodal teaching and learning via visual (video), sound (music), movement (amination), print-based text, and technology for students has great impact on content delivery if teachers teaching programming language realize its potency. Inclusion of multimodality in curriculum would enhance diversity of learning process. In this study, the author looked into the use of different modes of approaches (Multimodal Approaches) to produce desired result better more realistic and dynamic to the use of a single (monomodal) approach or mode. The study exposed students to the use of: video mode, game mode, practical mode and online classroom mode in learning a programming language. The degree students formed the target population. Data collection was done in three bases: paper data collection for videos and games, practical data for the practical classes while data was collected electronically for online classroom respectively. Quantitative analysis results of the data revealed that employing multiple modes (multimodality) for instructional supports to enhance learning programming language gave teachers opportunities to help them gain nuanced understanding of codes, powerfully express what they learned, and discover a psychological refuge. Importantly, multimodal teaching approach was found to enhance programming sense of accomplishment and self-esteem.
Insight from Computer Ergonomic towards Health Stability in Information Technology Community
The result of various health challenges often faced at places of work has a far-reaching effect o... more The result of various health challenges often faced at places of work has a far-reaching effect on the socioeconomy development of any nation. These health issues range from fatigues, musculoskeletal or even severe ones that could lead to permanent disability. In the IT world, this observation is reportedly more pronounced sequel to the increase in number of users of various computer equipment in almost all facet of life in Nigeria. Thus, this study was carried out in order to investigate the causation of discomfort related to working postures and to access health disorder among IT professionals. A structured questionnaire, consisting of 25items to elicit the relationship between health challenges as a result of various working conditions of IT professional in Nigeria was administered on the sample. Findings revealed that IT professionals suffered from pain especially in the back, neck, hands and legs based on the number of hours with years they have spent in the profession. Also, i...
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Papers by Ismail Olaniyi MURAINA
recalling verbatim what was learned in the previous lessons
is a challenging task in teaching and learning biological
concepts. Past studies have established many strategies to
address this, but they are not directly linked to the ultimate
solution to the problem. This study investigates the potency
of problem-solving strategy to enhance student’s ability in
higher-order thinking tasks in biology. A total of 118 senior
secondary two biology students in their intact group
participated in the study. The study employed a quasiexperimental group design. Data on higher-order thinking
tasks were collected using 20 multiple-choice items titled
Achievement Test in Higher-order Thinking Tasks
(ATHOTT). Mean and standard deviation depicted in bar
charts provide answers to the three research questions,
while analysis of covariance was employed to test the
hypotheses. The results revealed that problem-solving
strategy enhanced students’ response to higher-order
thinking tasks, male and female students did not differ in
response to higher-order thinking tasks, and gender did not
mediate with the problem-solving strategy to enhance
students’ response to higher-order thinking tasks in
biology. Teachers are, therefore, implored to engage
students in problem-solving activities.