Argument maps as schematic representations of arguments and their logical and evidential relationships are effective diagrams for instruction in education as well as in L2 development. However, their use for teaching L2 writing in EFL contexts has not been adequately studied. Therefore, this study investigated the effect of argument mapping instruction on Iranian EFL learners’ writing achieveme...

Motor imagery (MI) is a cognitive process involved in mentally rehearsing movement representations, and it has great potential for the rehabilitation of motor function in patients with spinal cord injuries. The aim of this study was to explore changes in the brain activation patterns in incomplete spinal cord injury (ISCI) patients during motor execution (ME) and MI tasks, and to thereby explor...

Mental-Imagery based Brain-Computer Interfaces (MI-BCIs) allow their users to send commands to a computer using their brain-activity alone (typically measured by ElectroEncephaloGraphy-EEG), which is processed while they perform specific mental tasks. While very promising, MI-BCIs remain barely used outside laboratories because of the difficulty encountered by users to control them. Indeed, alt...

This paper presents an approach for how end-users can tailor (and evolve) generic computer applications into domain-oriented design environments. It is proposed as a remedy for inflexible computer applications, and as an alternative to building domain-oriented design environments from low-level building blocks. A typical generic application is a word processor, a drawing program, or an email sy...

After immobilization, patients show impaired postural control and increased risk of falling. Therefore, loss of balance control should already be counteracted during immobilization. Previously, studies have demonstrated that both motor imagery (MI) and action observation (AO) can improve motor performance. The current study elaborated how the brain is activated during imagination and observatio...

This paper presents an EEG-based brain-computer interface system for classifying eleven motor imagery (MI) tasks within the same hand. The proposed system utilizes the Choi-Williams time-frequency distribution (CWD) to construct a time-frequency representation (TFR) of the EEG signals. The constructed TFR is used to extract five categories of time-frequency features (TFFs). The TFFs are process...

Recently tasks, as the basic units of syllabi, and the cognitive complexity, as the criterion for sequencing them, have caught many second language researchers’ attention. This study sought to explore the effect of utilizing the cognitively simple and complex tasks on high- and low-proficient EFL Iranian writers’ linguistic performance, i.e., fluency, accuracy, lexical complexity, and structura...