Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Algorithms | 5 |
Teaching Methods | 5 |
Computer Science Education | 2 |
Mathematics Instruction | 2 |
Artificial Intelligence | 1 |
Automation | 1 |
Barriers | 1 |
Class Size | 1 |
Coding | 1 |
College Faculty | 1 |
College Students | 1 |
More ▼ |
Source
ProQuest LLC | 5 |
Author
Christopher Garrido Lechuga | 1 |
Heather Shannon Fish | 1 |
Rebecca Smith | 1 |
Scott H. Moss | 1 |
Susan Gardner Archambault | 1 |
Publication Type
Dissertations/Theses -… | 5 |
Education Level
Audience
Location
California | 2 |
Tennessee | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Susan Gardner Archambault – ProQuest LLC, 2022
Research shows that college students are largely unaware of the impact of algorithms on their everyday lives. Also, most university students are not being taught about algorithms as part of the regular curriculum. This exploratory, qualitative study aimed to explore subject-matter experts' insights and perceptions of the knowledge components,…
Descriptors: Algorithms, Teaching Methods, Literacy, College Students
Scott H. Moss – ProQuest LLC, 2023
This case study focuses on the implementation and analysis of critical algorithmic literacy (CAL) lessons in two grade 3/4 combination classes. The study involves one elementary school teacher and 36 students from a K-6 school in Southern California. By analyzing various data sources, I identified trends that could be helpful for future…
Descriptors: Algorithms, Elementary School Students, Computer Science Education, Critical Literacy
Heather Shannon Fish – ProQuest LLC, 2022
This study sought to compare the effectiveness of teaching with manipulatives versus algorithms and procedures. Assessment data were collected before instruction, after instruction with algorithms and procedures, and after instruction with modeling and manipulatives. Data were collected from 113 students from the 5th, 6th, and 7th grades within…
Descriptors: Mathematics Instruction, Algorithms, Middle School Students, Manipulative Materials
Christopher Garrido Lechuga – ProQuest LLC, 2024
Adaptive tutoring systems often model student knowledge in ways that break away from a "one size fits all" approach to learning. Nonetheless, the strengths of these systems can often be limited, as knowledge representations are not easily interpreted by teachers, which make these systems difficult to integrate into pedagogical practices.…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Mathematics Skills, Educational Innovation
Rebecca Smith – ProQuest LLC, 2019
In recent years, computer science has become a cornerstone of modern society. As a result, enrollment in undergraduate computer science programs has expanded rapidly. While the influx of talent into the field will undoubtedly lead to countless technological developments, this growth also brings new pedagogical challenges. Educational resources,…
Descriptors: Computer Science Education, Individualized Instruction, Interaction, Learning Experience