Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 4 |
Descriptor
Source
| Instructional Science | 2 |
| Computer Assisted Language… | 1 |
| Computers & Education | 1 |
| ProQuest LLC | 1 |
| Technology, Instruction,… | 1 |
Author
| Buckingham Shum, Simon | 1 |
| Conijn, Rianne | 1 |
| Deng, Liqun | 1 |
| Elen, Jan | 1 |
| Knight, Simon | 1 |
| Leung, Howard | 1 |
| Martinez-Maldonado, Roberto | 1 |
| Merrill, M. David | 1 |
| Samim Mirhosseini | 1 |
| Sottilare, Robert A. | 1 |
| Van Waes, Luuk | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Descriptive | 3 |
| Reports - Research | 2 |
| Dissertations/Theses -… | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkSamim Mirhosseini – ProQuest LLC, 2023
Computer science instructors typically have many responsibilities, such as creating material, delivering lectures, clarifying student questions, and grading student deliverables, while the demand for computer science education has been increasing. Handling all of these responsibilities is challenging in itself. However, it is made worse when…
Descriptors: Computer Science Education, Teacher Responsibility, Faculty Workload, Instructional Materials
Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
Sottilare, Robert A. – Technology, Instruction, Cognition and Learning, 2018
This article is intended as a companion document to the more focused report provided by the author at the 2017 American Education Research Association (AERA) Conference as part of the Technology, Instruction, Cognition & Learning Special Interest Group's Symposium on Intelligent Tutoring Systems (ITSs). Both the AERA talk and this article…
Descriptors: Literature Reviews, Goal Orientation, Integrated Learning Systems, Instructional Design
Yang, Yang; Leung, Howard; Yue, Lihua; Deng, Liqun – Computers & Education, 2013
In this paper, an automated lesson generation system for guiding beginners to learn basic dance movements is proposed. It analyzes the dance to generate a two-phase lesson which can provide a suitable cognitive load thus offering an efficient learning experience. In the first phase, the dance is divided into small pieces which are patterns, and…
Descriptors: Courseware, Use Studies, Instructional Design, Automation
Peer reviewedMerrill, M. David – Instructional Science, 1998
Describes ID Expert, an intelligent computer-based multimedia interactive instructional development and delivery system. Topics include instructional transactions with built-in instructional design; knowledge bases and knowledge representation; automated instructional design; and similarities to GTE (Generic Tutoring Environment). (Author/LRW)
Descriptors: Automation, Instructional Design, Intelligent Tutoring Systems, Knowledge Representation
Peer reviewedElen, Jan – Instructional Science, 1998
Discusses GTE (Generic Tutoring Environment) and courseware engineering and argues that GTE's theoretical knowledge base focuses on teaching as a good model for any kind of instruction and thus reduces its generic nature. Two examples of weak automation for instructional design are described that have broader knowledge bases. (Author/LRW)
Descriptors: Automation, Computer Software Development, Courseware, Instructional Design
