Algorithm Time and Space Analysis: In this tutorial, we will learn about the time and space analysis/ complexity of any algorithm.
to predict the students' behavior and performance in the examination. This paper has applied the concept of decision tree algorithm on the students' first mid-semester Multiple Choice Questions (MCQs) test data to predict their performance in the next mid-semester as well in the final examination...
The argument that MCQs could only test recognition rather than recall process has a reasonable critique. Little and Bjork (2015) suggest that MCQs could be refined and optimised as an assessment tool to evaluate the recall process, closely resembling a cued-recall test. For example, addressing ...
From labeled images, the algorithm being trained accumulates experience and creates its own set of rules to ultimately predict the correct class of an unlabeled image. Semi-supervised learning falls in between the two, where only part of the data needs to be labeled. Both Turing and McCarthy ...
A reward model was trained on this dataset to predict the preferred output by the annotators. Thirdly, the supervised learning baseline model was fine-tuned through reinforcement learning, with the reward model optimizing the policy using a proximal policy optimization algorithm (Ouyang et al.2022)...
Similar ease exists in grading objective questions, such as MCQs. To put it briefly: all different types of subjective and objective questions can be graded easily. Additionally, say good-bye to those tedious and time-consuming meetings to ascertain the grading process. It sounds like ...
Content validity and appropriate structure of the questions are always outstanding issues for each education system. This study aimed to evaluate the role of providing quantitative and qualitative feedback on the quality of faculty members' MCQs. Methods: This analytical study was conducted on Kerman...
Two uncorrelated features would have a Pearson score of almost zero. Two features that connected contrarily would have a Pearson score close to -1. The formula for Pearson’s correlation is shown in Eq. (1), and the algorithm for our Dep_Fuzzy Model is shown in Algorithm 1.(1)where xi...