Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Source
| Computer Assisted Language… | 2 |
| CALICO Journal | 1 |
| Infancy | 1 |
| Teaching English in the… | 1 |
| Technical Communication:… | 1 |
Author
| Amaral, Luiz | 1 |
| Amaral, Luiz A. | 1 |
| Bist, Gary | 1 |
| Creel, Sarah C. | 1 |
| Lambacher, Stephen | 1 |
| Meurers, Detmar | 1 |
| Meurers, W. Detmar | 1 |
| Ryan-Thompson, Lin A. | 1 |
| Ziai, Ramon | 1 |
Publication Type
| Journal Articles | 6 |
| Opinion Papers | 6 |
| Reports - Descriptive | 1 |
| Reports - General | 1 |
Education Level
| Higher Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkCreel, Sarah C. – Infancy, 2012
Morgante et al. (in press) find inconsistencies in the time reporting of a Tobii T60XL eye tracker. Their study raises important questions about the use of the Tobii T-series in particular, and various software and hardware in general, in different infant eye tracking paradigms. It leaves open the question of the source of the inconsistencies.…
Descriptors: Infants, Eye Movements, Reaction Time, Laboratory Equipment
Amaral, Luiz; Meurers, Detmar; Ziai, Ramon – Computer Assisted Language Learning, 2011
Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…
Descriptors: Feedback (Response), Second Language Learning, Intelligent Tutoring Systems, Information Management
Amaral, Luiz A.; Meurers, W. Detmar – CALICO Journal, 2009
Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…
Descriptors: Grammar, Computer Assisted Instruction, Identification, Error Analysis (Language)
Peer reviewedBist, Gary – Technical Communication: Journal of the Society for Technical Communication, 1995
Shows how and why errors get introduced into examples in computer software documentation and what actions technical communicators can take to minimize this occurrence. Proposes a method to test examples. Suggests that technical writers can avoid these sources of error by creating and implementing a good test plan, maintaining and updating the…
Descriptors: Computer Software, Error Correction, Error Patterns, Evaluation Methods
Ryan-Thompson, Lin A. – Teaching English in the Two-Year College, 2005
Grading essays and research papers can be the most trying part of any writing instructor's job. Fitting corrections, suggestions, and notes between double-spaced lines of text and into margins often creates a legibility problem, which only worsens when grading stacks of papers to meet deadlines. This essay describes electronic grading, a method…
Descriptors: Writing Teachers, Grading, Writing Instruction, Computer Assisted Instruction
Peer reviewedLambacher, Stephen – Computer Assisted Language Learning, 1999
Explains the use of a computer-assisted language-learning tool that utilizes acoustic data in real time to help Japanese second-language learners improve their perception and production of English consonants. The basic features of the speech-learning software that runs on a networked workstation and is used for pronunciation training are…
Descriptors: Acoustic Phonetics, Articulation (Speech), Computer Assisted Instruction, Computer Software
