Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Curriculum Implementation | 3 |
Introductory Courses | 3 |
Teaching Methods | 3 |
Computer Science Education | 2 |
Course Descriptions | 2 |
Programming | 2 |
Active Learning | 1 |
Artificial Intelligence | 1 |
College Instruction | 1 |
Comparative Analysis | 1 |
Computer Science | 1 |
More ▼ |
Author
Blake, Adam B. | 1 |
Coleman, Susan | 1 |
Fries, Laura | 1 |
Malmi, Lauri | 1 |
Markov, Zdravko | 1 |
Neller, Todd | 1 |
Nuutila, Esko | 1 |
Russell, Ingrid | 1 |
Son, Ji Y. | 1 |
Stigler, James W. | 1 |
Torma, Seppo | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Descriptive | 2 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Audience
Location
California | 1 |
Connecticut | 1 |
Pennsylvania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Son, Ji Y.; Blake, Adam B.; Fries, Laura; Stigler, James W. – Journal of Statistics and Data Science Education, 2021
Students learn many concepts in the introductory statistics course, but even our most successful students end up with rigid, ritualized knowledge that does not transfer easily to new situations. In this article we describe our attempt to apply theories and findings from learning science to the design of a statistics course that aims to help…
Descriptors: Statistics Education, Introductory Courses, Teaching Methods, Data Analysis
Russell, Ingrid; Markov, Zdravko; Neller, Todd; Coleman, Susan – ACM Transactions on Computing Education, 2010
Our approach to teaching introductory artificial intelligence (AI) unifies its diverse core topics through a theme of machine learning, and emphasizes how AI relates more broadly with computer science. Our work, funded by a grant from the National Science Foundation, involves the development, implementation, and testing of a suite of projects that…
Descriptors: Artificial Intelligence, Program Effectiveness, Computer Science, Teaching Methods
Nuutila, Esko; Torma, Seppo; Malmi, Lauri – Computer Science Education, 2005
Problem-Based Learning (PBL) method emphasizes students' own activity in learning about problems, setting up their own learning goals and actively searching for and analyzing information. In this paper, we describe and discuss our experiences on applying PBL, especially the seven steps method widely used in medical faculties, in an introductory…
Descriptors: Problem Based Learning, Teaching Methods, Programming, Computer Science Education