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Reem Jalal Eddine; Claudio Mulatti; Francesco N. Biondi – Cognitive Research: Principles and Implications, 2024
The use of partially-automated systems require drivers to supervise the system functioning and resume manual control whenever necessary. Yet literature on vehicle automation show that drivers may spend more time looking away from the road when the partially-automated system is operational. In this study we answer the question of whether this…
Descriptors: Motor Vehicles, Attention Control, Artificial Intelligence, Eye Movements
Marina Pi-Ruano; Alexandra Fort; Pilar Tejero; Christophe Jallais; Javier Roca – Cognitive Research: Principles and Implications, 2024
Partially autonomous vehicles can help minimize human errors. However, being free from some driving subtasks can result in a low vigilance state, which can affect the driver's attention towards the road. The present study first tested whether drivers of partially autonomous vehicles would benefit from the addition of auditory versions of the…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Task Analysis, Motor Vehicles
Arnon Hershkovitz; Norbert Noster; Hans-Stefan Siller; Michal Tabach – ZDM: Mathematics Education, 2024
Learning Analytics is concerned with the use of data collected in educational settings to support learning processes. We take a Learning Analytics approach to study the use of immediate feedback in digital classification tasks in mathematics. Feedback serves as an opportunity for learning, however its mere existence does not guarantee its use and…
Descriptors: Learning Analytics, Classification, Geometry, Mathematics Instruction
Lui, Debora; Kafai, Yasmin; Litts, Breanne; Walker, Justice; Widman, Sari – Computer Science Education, 2020
Background and Context: Physical computing involves complex negotiations of multiple, on and off-screen tasks, which calls for research on how to best structure collaborative work to ensure equitable learning. Objective: We focus on how pairs self-organized their multi-domain tasks in physical computing, and how their social interactions supported…
Descriptors: Cooperative Learning, High School Students, Computer Science Education, Programming
Order of Mention in Causal Sequences: Talking about Cause and Effect in Narratives and Warning Signs
Kaiser, Elsi – Discourse Processes: A Multidisciplinary Journal, 2019
Causal sequences can be segmented into cause and effect. However, some argue causal relations in discourse are by default in "effect-cause" order. Others claim "cause-effect" order is easier to process and the default way of expressing causality, due to iconicity. We conducted experiments testing participants' production…
Descriptors: Attribution Theory, Discourse Analysis, Language Processing, Decision Making
Kweldju, Siusana – TEFLIN Journal: A publication on the teaching and learning of English, 2021
This exploratory case study focuses on the development and implementation of a task called the Inventive English Word Formation in Public Spaces for an undergraduate English Morphology course within the English Language Education program of a university in Indonesia. This task was created based on students' feedback that they disliked the typical…
Descriptors: Case Studies, Second Language Learning, Second Language Instruction, English (Second Language)

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