An Investigation into the Applicability of Robot-AR-Aided LMOOCs for Language for Nursing Purposes Teaching and Learning
An Investigation into the Applicability of Robot-AR-Aided LMOOCs for Language for Nursing Purposes Teaching and Learning
نویسندگان :
سعید خزائی ( دانشگاه علوم پزشکی اصفهان ) , علی درخشان ( دانشگاه گلستان ) , محبوبه مقامی ( دانشگاه علوم پزشکی اصفهان ) , سید محمد صادق مدنی ( دانشگاه علوم پزشکی اصفهان )
چکیده
Abstract— A characteristic feature of Language Massive Open Online Courses (LMOOCs) is their capacity to evidence-based education that is effective in representing the actual world. Recent integration of social robots and cues of augmented reality have fostered rich opportunity to leverage episodes of practicing Language for Specific Purposes in the professional contexts. Language for Medical Purposes education informed by the evidence captured during students interactions with social robot-augmented reality-aided LMOOCs gives great promise for doing comprehension of academic and professional contexts. In the academic years of 2020-2021 in the Medical University of Isfahan this interventional study using a parallel design employed evidence-based medical college language learning approach that incorporates the augmented body of social robots with the written clouds of ARs into the episodes of different types of LMOOCs endeavored to investigate 295 nursing students LNP reading comprehension progress. In view of this a focus-group interview was conducted as well to debrief the participants’ perception of the course. Findings revealed that when students took part in videotaping the episodes for the robot-augmented reality-aided LMOOCs they either read equally well or outperform situations with evidence from teacher-made LMOOCs. We discuss the students active participation along with synergistic impacts of combining social robots and AR clouds for representing factual evidence of healthcare fields in Language for Nursing Purposes reading skills education. The student-made and blended robot-augmented reality-aided LMOOCs can accurately instantiate actual scenes of the world and hold significant potential for guiding real-world scaffolding.کليدواژه ها
reading Language Massive Open Online Courses social robots augmented realityکد مقاله / لینک ثابت به این مقاله
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