Publication Date
In 2025 | 1 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Author
Publication Type
Journal Articles | 15 |
Reports - Descriptive | 6 |
Reports - Research | 6 |
Opinion Papers | 3 |
Speeches/Meeting Papers | 3 |
Guides - Classroom - Teacher | 2 |
Information Analyses | 2 |
Guides - Non-Classroom | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Audience
Practitioners | 2 |
Researchers | 1 |
Teachers | 1 |
Location
Africa | 1 |
Asia | 1 |
Europe | 1 |
Latin America | 1 |
Philippines | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Eric Kennedy – Journal of Instructional Pedagogies, 2024
The manuscript outlines the development of an undergraduate course titled "Generative Artificial Intelligence for Business," aimed at equipping students with the knowledge and skills necessary to leverage generative AI technologies in various business contexts. The course framework covers fundamental concepts of generative AI, including…
Descriptors: Undergraduate Study, Business Education, Artificial Intelligence, Technological Literacy
Kleb Dale G. Bayaras – Online Submission, 2023
In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the…
Descriptors: Foreign Countries, Universities, Introductory Courses, Programming
Utkarsh Upadhyay; Graham Lancashire; Christoph Moser; Manuel Gomez-Rodriguez – npj Science of Learning, 2021
We perform a large-scale randomized controlled trial to evaluate the potential of machine learning-based instruction sequencing to improve memorization while allowing the learners the freedom to choose their review times. After controlling for the length and frequency of study, we find that learners for whom a machine learning algorithm determines…
Descriptors: Randomized Controlled Trials, Teaching Methods, Memorization, Algorithms
Odiel Estrada-Molina; Juanjo Mena; Alexander López-Padrón – International Review of Research in Open and Distributed Learning, 2024
No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Open Education, Educational Trends
Ni Li – International Journal of Web-Based Learning and Teaching Technologies, 2025
In depth exploration of how the pandemic has reshaped the education ecosystem over the past three years, especially in the context of the surge in demand for online education courses and learning platforms, this article focuses on the field of student ideological and political education, and innovatively constructs a moral and political education…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Algorithms
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Vištica, Marija; Grubišic, Ani; Žitko, Branko – International Journal of Information and Learning Technology, 2016
Purpose: In order to initialize a student model in intelligent tutoring systems, some form of initial knowledge test should be given to a student. Since the authors cannot include all domain knowledge in that initial test, a domain knowledge subset should be selected. The paper aims to discuss this issue. Design/methodology/approach: In order to…
Descriptors: Graphs, Intelligent Tutoring Systems, Sampling, Knowledge Management
Johnson, Marvin L. – 1989
Discrete mathematics and finite mathematics differ in a number of ways. First, finite mathematics has a longer history and is therefore more stable in terms of course content. Finite mathematics courses emphasize certain particular mathematical tools which are useful in solving the problems of business and the social sciences. Discrete mathematics…
Descriptors: Algorithms, Community Colleges, Course Content, Mathematical Applications
Harper-Marinick, Maria; Gerlach, Vernon S. – Educational Technology, 1986
Describes a five-step set of procedures for designing and developing instruction that promotes student-teacher interaction and teacher responsiveness. The steps described address instructional content, objectives, questions, boundaries, and entry behavior. (MBR)
Descriptors: Algorithms, Behavioral Objectives, Course Content, Instructional Design

Van Loan, Charles F. – Educational Forum, 1980
Computer science education for the liberal arts student has both a practical value (creating an intelligent consumer) and an appreciative value (teaching algorithmic thinking). A computer literacy course can be structured to harmonize with the aims of liberal education. (SK)
Descriptors: Algorithms, Computer Science, Course Content, General Education
Terrell, William R. – Journal of Instructional Development, 1983
Discusses the role of algorithmic processes as a supplementary method for producing cost-effective and efficient instructional materials. Examines three approaches to problem solving in the context of developing training materials for the Naval Training Command: application of algorithms, quasi-algorithms, and heuristics. (EAO)
Descriptors: Algorithms, Cost Effectiveness, Course Content, Delivery Systems
Byrkett, Donald L. – Collegiate Microcomputer, 1983
Discusses ways to integrate computers into mathematically oriented classes effectively so that advantages are obtained without increasing detrimental effects. Three sections detail use of computers as experimental tools, to implement and understand algorithms, and to solve realistic size problems. These ideas are illustrated with examples from a…
Descriptors: Algorithms, Course Content, Curriculum Enrichment, Higher Education

Fox, William P.; And Others – Journal of Computers in Mathematics and Science Teaching, 1996
Explains a proposed block of instruction that would give students in industrial engineering, operations research, systems engineering, and applied mathematics the basic understanding required to begin more advanced courses in simulation theory or applications. (DDR)
Descriptors: Algorithms, Computer Science, Computer Simulation, Computer Software
Allan, V. H.; Kolesar, M. V. – 1996
The typical introductory programming course is not an appropriate first computer science course for many students. Initial experiences with programming are often frustrating, resulting in a low rate of successful completion, and focus on syntax rather than providing a representative picture of computer science as a discipline. The paper discusses…
Descriptors: Academic Achievement, Algorithms, Computer Science Education, Course Content
King, Margaret – 1976
The first section of this course on programming introduces LISP as a programming language designed to do symbol manipulation, with consequent prevalence in auto-instructional (AI) work. A programming language specifies in its description a number of primitive operations which the computer knows how to perform. An algorithm is the set of…
Descriptors: Algorithms, Artificial Languages, Computational Linguistics, Computer Programs
Previous Page | Next Page »
Pages: 1 | 2