Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 5 |
Descriptor
Source
System | 2 |
CALICO Journal | 1 |
Computer Assisted Language… | 1 |
Instructional Science | 1 |
Interactive Learning… | 1 |
International Journal of… | 1 |
Journal of Computer Assisted… | 1 |
Research-publishing.net | 1 |
Teaching English in the… | 1 |
Author
Attisha, M. | 1 |
Blanchard, Alexia | 1 |
Cameran, Christel-Joy | 1 |
Chodorow, Martin | 1 |
Cramer, Stephen E. | 1 |
Deane, Paul | 1 |
Futagi, Yoko | 1 |
Harbusch, Karin | 1 |
Higgins, J. J. | 1 |
Härtel, Johannes | 1 |
Kraif, Olivier | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 12 |
Journal Articles | 9 |
Speeches/Meeting Papers | 2 |
Guides - Non-Classroom | 1 |
Information Analyses | 1 |
Opinion Papers | 1 |
Reports - Research | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Secondary Education | 1 |
Two Year Colleges | 1 |
Audience
Researchers | 3 |
Location
Switzerland | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Özlem Çeziktürk – International Journal of Mathematical Education in Science and Technology, 2025
I explore some facts about the area, position, etc. of the Steiner ellipse using GeoGebra and numerical analysis. Students can use these for mathematical inquiry.
Descriptors: Computer Software, Mathematics Instruction, Elective Courses, Teacher Education Programs
Harbusch, Karin; Cameran, Christel-Joy; Härtel, Johannes – Research-publishing.net, 2014
We present a new feedback strategy implemented in a natural language generation-based e-learning system for German as a second language (L2). Although the system recognizes a large proportion of the grammar errors in learner-produced written sentences, its automatically generated feedback only addresses errors against rules that are relevant at…
Descriptors: German, Second Language Learning, Second Language Instruction, Feedback (Response)
Blanchard, Alexia; Kraif, Olivier; Ponton, Claude – CALICO Journal, 2009
This paper presents a "didactic triangulation" strategy to cope with the problem of reliability of NLP applications for computer-assisted language learning (CALL) systems. It is based on the implementation of basic but well mastered NLP techniques and puts the emphasis on an adapted gearing between computable linguistic clues and didactic features…
Descriptors: Spelling, Educational Technology, Natural Language Processing, Computer Assisted Instruction
Stewart, Maria Shine – Teaching English in the Two-Year College, 2009
In this article, the author offers her experience of modeling mistakes and writing spontaneously in the computer classroom to get students' attention and elicit their editorial response. She describes how she taught her class about major sentence errors--comma splices, run-ons, and fragments--through her Sentence Meditation exercise, a rendition…
Descriptors: Community Colleges, Writing (Composition), Self Disclosure (Individuals), Computer Assisted Instruction
Futagi, Yoko; Deane, Paul; Chodorow, Martin; Tetreault, Joel – Computer Assisted Language Learning, 2008
This paper describes the first prototype of an automated tool for detecting collocation errors in texts written by non-native speakers of English. Candidate strings are extracted by pattern matching over POS-tagged text. Since learner texts often contain spelling and morphological errors, the tool attempts to automatically correct them in order to…
Descriptors: Native Speakers, English (Second Language), Limited English Speaking, Computational Linguistics

Ohlsson, S. – Journal of Computer Assisted Learning, 1993
Discusses recent advances in cognitive theory and the design of computer-based instruction and suggests implications for the design of authoring tools and tutoring system shells. Highlights include the design of courseware; advanced organizers; knowledge representation; design evaluation; models of knowledge; models of errors; and models of…
Descriptors: Computer Assisted Instruction, Computer Software Development, Courseware, Epistemology
Cramer, Stephen E. – 1984
In early computer assisted instruction (CAI), negative feedback often insulted students and/or provided no useful knowledge. In classroom settings, teachers use the following approaches in dealing with students' wrong answers: (1) ask the question again, louder and slower; (2) ask the question again, using different words; (3) back up and reteach…
Descriptors: Computer Assisted Instruction, Courseware, Design Requirements, Error Patterns

Attisha, M.; Yazdani, M. – Instructional Science, 1984
Describes a microcomputer-based system for diagnosing children's multiplication errors which incorporates the knowledge base of all known systematic multiplication errors, and utilizes a modular approach to cope with the program's complexity. Each module's function, how the programs interact, and the design of pupil-machine interaction are…
Descriptors: Computer Assisted Instruction, Diagnostic Teaching, Elementary Education, Error Patterns

Pusack, James P. – System, 1983
Five categories of answer-processing for computerized drill programs in foreign languages are described: nonevaluation, right-wrong evaluation, pattern markup, error anticipation, and parsing. Each strategy is explained in terms of its operation, advantages and disadvantages, ease of use for authoring courseware, and capability to support…
Descriptors: Computer Assisted Instruction, Error Patterns, Evaluation Criteria, Evaluation Methods

Resnick, Mitchel – Interactive Learning Environments, 1990
Discusses concurrent, or parallel, programming languages; explains the design of the MultiLogo programming language; and describes a study of fourth and fifth graders that used MultiLogo to control robotic devices built out of Lego bricks. Three categories of MultiLogo programming bugs are described, and implications for changes in design and…
Descriptors: Computer Assisted Instruction, Error Patterns, Futures (of Society), Grade 4
Soloway, Elliot; And Others – 1982
This report examines the features and performance of the BUG-FINDing component of MENO-II, a computer-based tutor for beginning PASCAL programming students. A discussion of the use of artificial intelligence techniques is followed by a summary of the system status and objectives. The two main components of MENO-II are described, beginning with the…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, Computer Science Education

Higgins, J. J.; Lawrie, A. M.; White, A. Goodith – System, 1999
Describes three pilot projects carried out with a special version of a computer-assisted language-learning activity, known as SEQUITUR, that seeks to develop awareness of cohesive devices and coherence features by displaying the start of a text and offering possible continuations. Usage logs of responses given by native and nonnative speakers of…
Descriptors: Cohesion (Written Composition), Computer Assisted Instruction, English (Second Language), Error Patterns