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Tsubasa Minematsu; Atsushi Shimada – International Association for Development of the Information Society, 2024
In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…
Descriptors: Educational Technology, Technology Uses in Education, Error Patterns, Sentences
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Miao, Dezhuang; Dong, Yu; Lu, Xuesong – International Educational Data Mining Society, 2020
In colleges, programming is increasingly becoming a general education course of almost all STEM majors as well as some art majors, resulting in an emerging demand for scalable programming education. To support scalable education, teaching activities such as grading and feedback have to be automated. Recently, online judge systems have been…
Descriptors: Programming, Prediction, Error Patterns, Models
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Allison S. Liu; Kirk Vanacore; Erin Ottmar – Grantee Submission, 2022
Feedback in educational technologies can teach and engage students in math, but questions remain on how to present failure feedback that supports positive learning behaviors. We explore how error- and reward-based feedback influenced students' choices to replay completed problems in "From Here to There!," a math game-based educational…
Descriptors: Educational Technology, Technology Uses in Education, Feedback (Response), Failure
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Jovanov, Goran; Vasiljevic, Jovica; Jovanov, Nemanja; Antic, Dejan; Vranjes, Djordje – International Association for Development of the Information Society, 2019
This paper presents the previous experience in the licensing process of the examiners at the driving test in the Republic of Serbia, with an analysis of the way in which the examiners assess the polygonal actions. The analysis covers the most common mistakes that have been registered with the examiners as well as in the candidates in the training.…
Descriptors: Foreign Countries, Driver Education, Educational Technology, Electronic Learning
Streeter, Matthew – International Educational Data Mining Society, 2015
We show that student learning can be accurately modeled using a mixture of learning curves, each of which specifies error probability as a function of time. This approach generalizes Knowledge Tracing [7], which can be viewed as a mixture model in which the learning curves are step functions. We show that this generality yields order-of-magnitude…
Descriptors: Probability, Error Patterns, Learning Processes, Models
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Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – Grantee Submission, 2015
To learn from an error, students must correct the error by engaging in sense-making activities around the error. Past work has looked at how supporting collaboration around errors affects learning. This paper attempts to shed further light on the role that collaboration can play in the process of overcoming an error. We found that good…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Cooperative Learning
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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
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
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