Probability is a study of the rules that offers the foundational statistics. This sets out the investigation where students' understanding of counting rules and its probability were explored using 20 items was developed and administered Statistics course. Data were captured through an interactive e Edmodo.com and analyzed using Winsteps 3.81.0. The results from the Wright map showed that 83.8% of the students have while 16.2% of the students need to be given more attention on the topic. The study was also able to show that the items can be replicated in other sample
Recently, business intelligence is creating many changes and challenges to the business models of many industries globally. While a bigger impact has been reported on business intelligence models, there has been very little effort that investigates the deployment of business intelligence models based on auto modelling approaches of machine learning. Design and implement a machine learning business intelligence model involved a series of hassle tasks and was mostly time-consuming for an inexpert data scientist. Therefore, this paper presents different approaches to auto modelling machine learning provided by RapidMiner and Python machine learning software tools. To compare the results of modelling from the different approaches, the Airbnb hospitality dataset has been used as a case study for predicting the hospitality prices. The results show that Random Forest Regressors have been very promising to produce a high percentage of accuracy score with all the auto modelling machine learning Keywords— Machine Learning, Auto Modelling, Price Prediction, TPOT Python, RapidMinerja
In today's rapidly changing, technology-driven world, digital literacy has become increasingly important. As the use of technology continues to grow, it is vital that students possess the necessary skills to effectively navigate and utilize digital tools. Formal education students guided and assessed by instructors help develops a nation. Digital literacy requires creativity, security, and social awareness. This research's biggest problem is classifying students' digital literacy to meet the increased need for digitally proficient employment. To give students the skills they need to succeed in today's digital environment, it's important to know how to classify students by digital literacy. Thus, the goal of this study is to analyse digital literacy, determine skill and attitude levels, and examine the relationship between skill and attitude among UiTM students. The study sampled 364 students. Voluntary sampling to manage sample composition. Two types of analyses been conducted to achieved research objectives. Descriptive Analysis comes prior to Spearman Rank Correlation. The study assessed students' digital literacy by examining their computer and internet skills and attitude towards technology. 50% of respondents had "Sometimes" to "Every time" application skills. The study also found a weak positive correlation (0.300) between computer and internet skills and technology attitude, indicating room for improvement in encouraging students to use technology. The correlation was significant at 0.01 (p=0.000). University students, mostly women, were surveyed on their digital skills and technology use. Most participants used computers daily and were competent. Students liked technology and preferred using their computers at home. The study indicated a weak positive correlation between digital skills and attitude, suggesting space for improvement in encouraging technology use.
Cognitive ability in Mathematics has been widely discussed in various platforms. A total of 248 students from two schools in Tapah was selected in this study. The result showed that the cognitive level for of the students of SMK Sri Tapah and SMK Buyong Adil was found to be at moderate level where the score for each of the cognitive level lies between 20% to 50 %. Furthermore, this study identified the existence of a moderate relationship between all cognitive levels by using Correlation Analysis. Meanwhile, Mann Whitney test was used to test the differences of students performance from both schools and it showed that the students from SMK Buyong Adil were statistically greater for Knowing level (C1) SMK Buyong Adil (Mdn=0.5 marks), Understanding level (C2) (Mdn=0.5 marks), Applying level (C3) (Mdn=0.5 marks), Creating level (C6) (Mdn=1 marks) than students from SMK Sri Tapah. However, students from SMK Sri Tapah were found to be greater in Evaluating level (C5) (Mdn=1 marks) than students from SMK Buyong Adil. Overall this study found that the level of cognitive ability in both schools in Tapah is still at a moderate level and have to be improved.
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