NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Practitioners1
Laws, Policies, & Programs
Assessments and Surveys
Approaches to Studying…1
What Works Clearinghouse Rating
Showing 1 to 15 of 22 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Rani Van Schoors; Sohum M. Bhatt; Jan Elen; Annelies Raes; Wim Van den Noortgate; Fien Depaepe – International Journal of Designs for Learning, 2024
Due to swift technological changes in society, programming tasks are proliferating in formal and informal education around the globe. However, challenges arise regarding the acquisition of programming skills. Many students are unequipped to develop programming skills due to limited instruction or background and therefore feel insecure when…
Descriptors: Secondary School Students, Grade 1, Individualized Instruction, Electronic Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nongkhai, Lalita Na; Wang, Jingyun; Mendori, Takahiko – International Association for Development of the Information Society, 2022
This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…
Descriptors: Programming Languages, Computer Science Education, Intelligent Tutoring Systems, Thinking Skills
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Backenköhler, Michael; Scherzinger, Felix; Singla, Adish; Wolf, Verena – International Educational Data Mining Society, 2018
Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…
Descriptors: Data, Course Selection (Students), Information Utilization, Individualized Instruction
Simko, Marian; Bielikova, Maria – International Working Group on Educational Data Mining, 2009
To make learning process more effective, the educational systems deliver content adapted to specific user needs. Adequate personalization requires the domain of learning to be described explicitly in a particular detail, involving relationships between knowledge elements referred to as concepts. Manual creation of necessary annotations is in the…
Descriptors: Foreign Countries, Data Analysis, Individualized Instruction, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Reiners, Torsten; Dreher, Heinz – Journal of Information Technology Education, 2009
In modern learning environments, the lecturer or educational designer is often confronted with multi-national student cohorts, requiring special consideration regarding language, cultural norms and taboos, religion, and ethics. Through a somewhat provocative example we demonstrate that taking such factors into account can be essential to avoid…
Descriptors: Student Diversity, Culturally Relevant Education, Profiles, Cultural Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Tseng, Shian-Shyong; Su, Jun-Ming; Hwang, Gwo-Jen; Hwang, Gwo-Haur; Tsai, Chin-Chung; Tsai, Chang-Jiun – Educational Technology & Society, 2008
The popularity of web-based learning systems has encouraged researchers to pay attention to several new issues. One of the most important issues is the development of new techniques to provide personalized teaching materials. Although several frameworks or methods have been proposed, it remains a challenging issue to design an easy-to-realize…
Descriptors: Computer Assisted Instruction, Educational Technology, Individualized Instruction, Intelligent Tutoring Systems
Snow, Richard E. – 1979
In addressing the question of whether learner control of instruction can accommodate individual differences, this paper discusses some characteristics of learner control, including those conditions of learning which the student can control and those imposed by society and its institutions which are not under individual control. Studies of attempts…
Descriptors: Computer Science Education, Educational Research, Higher Education, Individual Differences
Du Charme, Barbara D.; Du Charme, Raymond W. – Technological Horizons in Education, 1982
Details a cooperative program that has allowed gifted and talented students in grades four to six from two rural public elementary schools in Connecticut to use computers. Notes that the joint effort between public and private agencies provides special instruction at minimal cost. (MP)
Descriptors: Academically Gifted, Computer Programs, Computer Science Education, Computers
Peer reviewed Peer reviewed
Boulet, Marie-Michele – Journal of Computing in Higher Education, 1994
An intelligent advisor computer program designed to assist undergraduate computer science students in producing an entity-relationship diagram, a conceptual model of a database. The advisor helps students perform modeling exercises and monitors student performance. (MSE)
Descriptors: Computer Assisted Instruction, Computer Science Education, Computer Software, Databases
InfoWorld, 1984
Discusses nature of training objectives, sources of training materials, and who will direct the training. Also discusses a model training program at Penn Mutual Life Insurance, a customized approach to individual learning, and computer security. (JN)
Descriptors: Computer Oriented Programs, Computer Science Education, Individualized Instruction, Industrial Training
Ortego, Sheila; Richards, Beverly – 1995
In summer 1993, Santa Fe Community College, New Mexico, created the External Programs Division (EPD) under its credit instruction program to serve the needs of non-traditional students. The EPD encompasses contract training, the Flex Lab, distance education, the AutoDesk Training Center, an Alternative Fuels program, and the corrections training…
Descriptors: Community Colleges, Computer Science, Contract Training, Individualized Instruction
Killam, Rosemary N.; And Others – Pipeline, 1981
The use of computer assisted instruction (CAI) in music education at North Texas State University is described. A special authoring language for CAI music lessons has been developed. (MP)
Descriptors: Computer Assisted Instruction, Computer Science Education, Computers, Curriculum Development
Olson, Richard K.; And Others – 1977
Unusual approaches to vocational training offered by the Business Data Processing Program at the Boulder Valley Re-2 Public Schools Area Vocational Technical Center are described, including the facility, equipment, individualized instructional media and materials, advisory committees, environment, curriculum, and placement for (1) the general…
Descriptors: Business Education, Business Education Facilities, Computer Assisted Instruction, Computer Science Education
Friedman, Daniel – Educational Computer, 1982
Proposes a new degree in education called Masters of Science in Educational Computing. Combining the areas of computer science and education, the new academic area will prepare teachers to make use of computers in all phases of education. The Iona College (New York) proposed program in educational computing is included. (JJD)
Descriptors: Computer Oriented Programs, Computer Science, Degree Requirements, Education Courses
Grignetti, Mario C.; And Others – 1974
NLS-SCHOLAR is a prototype system that uses artificial intelligence techniques to teach computer-naive people how to use a powerful and complex text editor. It represents a new type of computer-assisted instruction (CAI) system that integrates systematic teaching with actual practice; i.e., one which can keep the user under tutorial supervision…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, Computer Science Education
Previous Page | Next Page »
Pages: 1  |  2