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.
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 was built from student’ attendance, practical assessment, assignment, ability to complete a free related course on internet, test score, and examination grade; the dataset was divided into training test and testing set. The training test was used to build and validate the decision tree algorithm (CHAID) while testing set was used to evaluate CHAID on the overall accuracy, sensitivity, and specificity. The results show that decision tree algorithm makes classification and prediction visible and clear with the use of graphics to display the results. Hence, the model built produces 96% accuracy.
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 applies a fuzzy method with fuzzy logic in R to develop a fuzzy inference system for pattern identification and classification to increase performance. This focuses on creating a fuzzy rule foundation, model, and inference for the study of data related to stress, anxiety, and depression. The results show that using a fuzzy inference system for uncertainties aided in making decisions that could have resulted in more serious problems if not handled on time. This study should only be used to observe the symptoms and causes of stress, anxiety, and depression; it should not be used to treat the identified health problems. Hospitals are the best places to solve problems.
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 groups, while students were asked open-ended questions using Google form on social media platforms. To ensure validity and reliability of the instruments, researcher colleagues validated the content and structure of the instruments before being subjected to reliability statistics to ensure a high-reliability index. The administration was done within three weeks. The results gotten were collated and analyzed with charts and pictorials for easy interpretation and visualization. The results establish that online participants should always respect and strictly adhere to codes and conducts that will give room for convenient teaching and learning and also encourage a high rate of retention in learners. To sum up, policies and regulations to run smooth teaching and learning online should always be read to involve participants each time to access learning online as a prerequisite to accessibility
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