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Nina Bergdahl – Computer Assisted Language Learning, 2025
Current approaches to assessing digital competence in education may be too broad to support teachers in developing their online learning designs in specific subjects. During the pandemic, studies have identified that the development of teaching practices (and subsequently their learning designs) has taken a leap. However, because digital cultures…
Descriptors: Second Language Learning, Electronic Learning, Instructional Design, Second Language Instruction
Engwall, Olov; Lopes, José – Computer Assisted Language Learning, 2022
This article analyses how robot-learner interaction in robot-assisted language learning (RALL) is influenced by the interaction behaviour of the robot. Since the robot behaviour is to a large extent determined by the combination of teaching strategy, robot role and robot type, previous studies in RALL are first summarised with respect to which…
Descriptors: Second Language Learning, Adults, Swedish, Robotics
Teppo Jakonen; Heidi Jauni – Computer Assisted Language Learning, 2024
The development of videoconferencing technology has enabled new modes of combining in-person and remote teaching. In this article, we investigate interactional practices in hybrid language classrooms that combine on-site and remote participation by way of telepresence technology. Telepresence robots are videoconferencing tools that can be remotely…
Descriptors: Robotics, Second Language Learning, Second Language Instruction, Videoconferencing
Karlström, Petter; Lundin, Eva – Computer Assisted Language Learning, 2013
Digital tools are not always used in the manner their designers had in mind. Therefore, it is not enough to assume that learning through CALL tools occurs in intended ways, if at all. We have studied the use of an enhanced word processor for writing essays in Swedish as a second language. The word processor contained natural language processing…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Novelty (Stimulus Dimension), Natural Language Processing
Engwall, Olov – Computer Assisted Language Learning, 2012
Pronunciation errors may be caused by several different deviations from the target, such as voicing, intonation, insertions or deletions of segments, or that the articulators are placed incorrectly. Computer-animated pronunciation teachers could potentially provide important assistance on correcting all these types of deviations, but they have an…
Descriptors: Feedback (Response), Phonetics, Pronunciation, Computer Assisted Instruction

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