Effect of Using multiple representations in mechanics problem-solving dataset

Published: 15 March 2024| Version 1 | DOI: 10.17632/2xz7dgb4pv.1


Effect of Using multiple representations in mechanics problem-solving dataset


Steps to reproduce

This was done by: Defining clearly the specific research question or hypothesis you want to explore. This will guide your search for an appropriate dataset. Determine the variables or factors that are essential for addressing your research question. These could include demographics, geographic location, time period, etc. Look for existing datasets that may already contain the variables you need. There are several places to find datasets Assess the quality of the dataset to ensure it's suitable for your research. To ensure that the dataset contains all the necessary variables and that there are minimal missing values. Checking for any errors or inconsistencies in the data that could affect your analysis. Making sure the dataset aligns with your research question and objectives. Verify if the dataset is freely available or if there are any restrictions on its use. Ensure that you have the necessary permissions or licenses to use the data for your research. Familiarize yourself with the format and structure of the dataset. This includes understanding the data types, file format (e.g., CSV, Excel), and how the data is organized (e.g., rows and columns). Clean and preprocess the dataset as needed. This may involve removing duplicates, handling missing values, standardizing formats, and transforming variables if necessary. Conduct exploratory data analysis to gain insights into the dataset and identify any patterns or trends that may be relevant to your research question. Keep detailed records of the dataset selection process, including where you obtained the data, any preprocessing steps applied, and any limitations or biases in the dataset. Ensure that your use of the dataset complies with ethical guidelines and regulations, especially when dealing with sensitive or personally identifiable information.


University of Rwanda College of Education


Mechanics, Problem-Solving Skill


African Centre of Excellence for Innovative Teaching and Learning Mathematics and Science, University of Rwanda