Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 5 |
Descriptor
Author
Akita, Yuya | 1 |
Azevedo, Roger | 1 |
Bernard, Y. F. | 1 |
Bland, Ray | 1 |
Cameran, Christel-Joy | 1 |
Cramer, Stephen E. | 1 |
Dempsey, John V. | 1 |
Driscoll, Marcy P. | 1 |
Harbusch, Karin | 1 |
Hofstetter, Fred T. | 1 |
Härtel, Johannes | 1 |
More ▼ |
Publication Type
Speeches/Meeting Papers | 14 |
Reports - Research | 9 |
Reports - Descriptive | 2 |
Guides - Non-Classroom | 1 |
Reports - Evaluative | 1 |
Education Level
Elementary Secondary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Researchers | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Li, Tiffany Wenting; Paquette, Luc – International Educational Data Mining Society, 2020
Spatial visualization skills are essential and fundamental to studying STEM subjects, and sketching is an effective way to practice those skills. One significant challenge of supporting practice using sketching questions is the vast number of possible mistakes, making it time-consuming for instructors to provide customized and actionable feedback…
Descriptors: Error Patterns, Cluster Grouping, Visualization, Spatial Ability
Rzepka, Nathalie; Müller, Hans-Georg; Simbeck, Katharina – International Educational Data Mining Society, 2021
The ability to spell correctly is a fundamental skill for participating in society and engaging in professional work. In the German language, the capitalization of nouns and proper names presents major difficulties for both native and nonnative learners, since the definition of what is a noun varies according to one's linguistic perspective. In…
Descriptors: Spelling, German, Punctuation, Nouns
Mirzaei, Maryam Sadat; Meshgi, Kourosh; Akita, Yuya; Kawahara, Tatsuya – Research-publishing.net, 2015
Automatic Speech Recognition (ASR) technology has become a part of contemporary Computer-Assisted Language Learning (CALL) systems. ASR systems however are being criticized for their erroneous performance especially when utilized as a mean to develop skills in a Second Language (L2) where errors are not tolerated. Nevertheless, these errors can…
Descriptors: Assistive Technology, Speech Communication, Computer Assisted Instruction, Second Language Instruction
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)
Pijetlovic, Dijana; Volodina, Elena – Research-publishing.net, 2013
In this project we developed web services on the ICALL platform Lärka for automatic generation of Swedish spelling exercises using Text-To-Speech (TTS) technology which allows L2 learners to train their spelling and listening individually at home. The spelling exercises contain five different linguistic levels, whereby the language learner has the…
Descriptors: Swedish, Spelling, Questionnaires, Educational Technology
Hofstetter, Fred T. – 1978
During the 1975-76 academic year student response data were saved for a group of 17 freshman music majors as they worked through 15 units of harmonic dictation exercises delivered on the University of Delaware's Graded Units for Interactive Dictation Operation (GUIDO) system. Analysis of the student data base led to the identification of seven…
Descriptors: Computer Assisted Instruction, Error Patterns, Harmony (Music), Higher Education
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
Azevedo, Roger – 1999
The problem-solving strategies used by 10 radiologists and 10 radiology residents during the interpretation of difficult mammograms were examined under two experimental conditions. In the "authentic" condition, standard unmarked mammograms were used. On a second set of the same cases for the "augmented" condition, mammographic…
Descriptors: Clinical Diagnosis, Cognitive Processes, Computer Assisted Instruction, Error Patterns
Dempsey, John V.; Driscoll, Marcy P. – 1989
The effects of four methods of immediate corrective feedback delivered by computer within a question-based concept and rule learning setting were investigated in this study. A second purpose of the study was to probe the complex relationship between types of corrective feedback and the types of errors made by learners. One hundred and fifty-three…
Descriptors: Computer Assisted Instruction, Concept Teaching, Discrimination Learning, Error Patterns
Romaniuk, E. W. – 1978
Without rigorous evaluation during the development cycle of computer assisted instruction programs, diagnosis and revision of the courseware is likely to be haphazard and inefficient, and the probability of the course being a success is greatly reduced. This article provides guidance for developers of computer assisted instructional software in…
Descriptors: Computer Assisted Instruction, Course Evaluation, Editing, Educational Technology
Bernard, Y. F. – 1986
This research is aimed at diagnosing the problem-solving skill of elementary school children and subsequently improving their competence in early mathematics. To reach this goal, a computer assisted instruction (CAI) program on open sentences, incorporating knowledge about students' problem solving strategies and misconceptions, was constructed.…
Descriptors: Computation, Computer Assisted Instruction, Concept Formation, Educational Research
O'Connell, Ann Aileen; And Others – 1996
HyperProb is a Hypercard tutoring system designed to help students develop an effective step-by-step schema for solving probability problems. With this program, students are able to select areas they wish to study via hypermedia links and develop an understanding of terminology and procedures at their own pace with continued reinforcement. Nine…
Descriptors: Computer Assisted Instruction, Error Patterns, Formative Evaluation, Graduate Students
Pan, Alex – 1998
The computer has become an indispensable tool for teachers. Presently, many teachers are making efforts to master needed computer application skills. This study first focused on the differences between novice and experienced users to identify possible task-oriented factors that might help novice users overcome the learning curve. Errors frequently…
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Educational Technology, Elementary Secondary Education
Bland, Ray; Tessmer, Martin – 1999
This research explored the thesis that mental model construction can be an effective instructional strategy for mental models learning by constructing a prototype that embodies this approach. The mental model to be learned was the Internet, including the components of the Internet, their functions, and their relationships to one another. To do…
Descriptors: Age Differences, Authoring Aids (Programming), Community Colleges, Comparative Analysis