Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 6 |
Descriptor
Data | 6 |
Data Analysis | 6 |
Programming Languages | 6 |
Science Instruction | 2 |
Behavior | 1 |
Behavior Patterns | 1 |
COVID-19 | 1 |
Chemistry | 1 |
Coding | 1 |
Cognitive Style | 1 |
College Science | 1 |
More ▼ |
Source
ACM Transactions on Computing… | 1 |
Biochemistry and Molecular… | 1 |
Journal of Chemical Education | 1 |
Journal of Education and… | 1 |
Online Journal of Distance… | 1 |
Teaching Statistics: An… | 1 |
Author
Publication Type
Journal Articles | 6 |
Reports - Descriptive | 2 |
Reports - Evaluative | 2 |
Reports - Research | 2 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
Canada | 1 |
Missouri (Kansas City) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Representing DNA for Machine Learning Algorithms: A Primer on One-Hot, Binary, and Integer Encodings
Yash Munnalal Gupta; Satwika Nindya Kirana; Somjit Homchan – Biochemistry and Molecular Biology Education, 2025
This short paper presents an educational approach to teaching three popular methods for encoding DNA sequences: one-hot encoding, binary encoding, and integer encoding. Aimed at bioinformatics and computational biology students, our learning intervention focuses on developing practical skills in implementing these essential techniques for…
Descriptors: Science Instruction, Teaching Methods, Genetics, Molecular Biology
Brown, Neil C. C.; Weill-Tessier, Pierre; Sekula, Maksymilian; Costache, Alexandra-Lucia; Kölling, Michael – ACM Transactions on Computing Education, 2023
Objectives: Java is a popular programming language for use in computing education, but it is difficult to get a wide picture of the issues that it presents for novices; most studies look only at the types or frequency of errors. In this observational study, we aim to learn how novices use different features of the Java language. Participants:…
Descriptors: Novices, Programming, Programming Languages, Data
Berg, Arthur; Hawila, Nour – Teaching Statistics: An International Journal for Teachers, 2021
This article is presented in two parts: in the first part we discuss the use of R and R-related tools when implementing a data science curriculum in the classroom and direct readers to helpful R resources in education, and in the second part, we demonstrate the use of R in exploring COVID-19 data. In particular, we explore ethnic/racial…
Descriptors: Data, Data Analysis, Programming Languages, COVID-19
Green, Michael; Chen, Xiaobo – Journal of Chemical Education, 2020
For undergraduate students to be prepared for graduate school and industry, it is imperative that they understand how to merge the theoretical insights gleaned through their undergraduate education with the raw data sets acquired through materials analysis. Thus, the ability to implement data analysis is a vital skill that students should develop.…
Descriptors: Undergraduate Students, Data, Chemistry, Programming Languages
Czerkawski, Betul C. – Online Journal of Distance Learning Administration, 2015
While student data systems are nothing new and most educators have been dealing with student data for many years, learning analytics has emerged as a new concept to capture educational big data. Learning analytics is about better understanding of the learning and teaching process and interpreting student data to improve their success and learning…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
Sarwar, Gul Shahzad; Zerpa, Carlos; van Barneveld, Christina; Simon, Marielle; Brinson, Karieann – Journal of Education and Learning, 2013
This paper is a narrative of our experience in analyzing and merging data files provided to us by the Education Quality and Accountability Office (EQAO). In the paper, we propose a scheme of merging data files by means of Structured Query Language (SQL, pronounced as "sequel"). Although, the narrative of our experiences using this…
Descriptors: Foreign Countries, Databases, Programming Languages, Data Analysis