Implementation and Evaluation of Real Time Qualitative Feedback Systems in a Foreign Language Presentation Course

2014 ◽  
Author(s):  
Yuichi Ono ◽  
Manabu Ishihara ◽  
Sachio Hirokawa ◽  
Mitsuo Yamashiro
Keyword(s):  
Foreign Language ◽  
Real Time ◽  
Feedback Systems ◽  
Qualitative Feedback

A review of vocabulary learning applications: From the aspects of cognitive approaches, multimedia input, learning materials, and game elements

2021 ◽  
pp. 250-272
Keyword(s):  
Foreign Language ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Vocabulary Learning ◽  
Word Knowledge ◽  
Learning Approach ◽  
Feedback Systems ◽  
Learning Materials ◽  
Systematic Understanding ◽  
Game Elements

In recent years, mobile applications (apps) have been increasingly used and investigated as a vocabulary learning approach. Despite the extensive use of commercial English as a Foreign Language (EFL) vocabulary learning apps in China, there is a lack of a review of these apps for a systematic understanding of the components and usefulness of app-assisted vocabulary learning. To fill this knowledge gap, this study presents a systematic review of 15 EFL vocabulary learning apps that were most downloaded in China, focusing on how these apps help students develop word knowledge. The results of this study showed that most apps enabled students to access word knowledge through translating words into their native language. Notably, word knowledge was usually presented through text-plus-image and text-plus-image-plus-audio. Most of these mobile apps provided sentence examples as vocabulary learning materials. Many of these apps were integrated with game elements, especially in interactivity or feedback systems and reward systems. Based on the review results, we have provided three recommendations to vocabulary learning app developers concerning the use of video for the input of word knowledge, the efficiency of vocabulary learning, and the integration of more game elements.

Creating a Micro-Immersion Environment Through Telecollaboration

2016 ◽  
pp. 144-169
Author(s):  
Tasha N. Lewis
Keyword(s):  
Language Development ◽  
Foreign Language ◽  
Real Time ◽  
Target Language ◽  
Innovative Approach ◽  
Language And Culture ◽  
Immersion Experience

This chapter offers an innovative approach for implementing telecollaborative activities in order to enable students to connect with peers in real-time, with the goal of creating a micro-immersion experience called a “Virtual Language Exchange”. This chapter describes and compares two intermediate Spanish classes participating in Virtual Language Exchanges via Skype: one paired with peers from the target language and culture, and one paired with peers from within the class itself. Students from both groups participate in meaningful interactions in the target language in order to complete the assigned task-based activities. The chapter argues that finding new ways to bring the target language to life by using technology, like the Virtual Language Exchange experience described here, can benefit students' foreign language development in multiple ways.

scholarly journals Artificial intelligence, real-time feedback and workplace learning analytics to support in situ complex problem-solving: a commentary

2020 ◽  
Vol 37 (5) ◽  
pp. 267-277
Author(s):  
Maarten de Laat ◽  
Srecko Joksimovic ◽  
Dirk Ifenthaler
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Real Time ◽  
Workplace Learning ◽  
Learning Analytics ◽  
Complex Problem ◽  
Complex Problem Solving ◽  
Feedback Systems ◽  
Content Type

PurposeTo help workers make the right decision, over the years, technological solutions and workplace learning analytics systems have been designed to aid this process (Ruiz-Calleja et al., 2019). Recent developments in artificial intelligence (AI) have the potential to further revolutionise the integration of human and artificial learning and will impact human and machine collaboration during team work (Seeber et al., 2020).Design/methodology/approachComplex problem-solving has been identified as one of the key skills for the future workforce (Hager and Beckett, 2019). Problems faced by today's workforce emerge in situ and everyday workplace learning is seen as an effective way to develop the skills and experience workers need to embrace these problems (Campbell, 2005; Jonassen et al., 2006).FindingsIn this commentary the authors argue that the increased digitization of work and social interaction, combined with recent research on workplace learning analytics and AI opens up the possibility for designing automated real-time feedback systems capable of just-in-time, just-in-place support during complex problem-solving at work. As such, these systems can support augmented learning and professional development in situ.Originality/valueThe commentary reflects on the benefits of automated real-time feedback systems and argues for the need of shared research agenda to cohere research in the direction of AI-enabled workplace analytics and real-time feedback to support learning and development in the workplace.

scholarly journals Emotional Processes of Foreign-Language Learning Situated in Real-Time Teacher Support

2019 ◽  
Vol 31 (2) ◽  
pp. 127-145 ◽  
Author(s):  
Naomi M. P. De Ruiter ◽  
Majid Elahi Shirvan ◽  
Nahid Talebzadeh
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Real Time ◽  
Teacher Support ◽  
Foreign Language Learning ◽  
Emotional Processes

scholarly journals An Internet of Things Buttons to Measure and Respond to Restroom Cleanliness in a Hospital Setting: Descriptive Study (Preprint)

2019 ◽  
Author(s):  
Peter R Chai ◽  
Haipeng Zhang ◽  
Guruprasad D Jambaulikar ◽  
Edward W Boyer ◽  
Labina Shrestha ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Reporting System ◽  
Hospital Setting ◽  
Time Of Day ◽  
Notification System ◽  
Main Hospital ◽  
Qualitative Feedback ◽  
System P ◽  
Actual Use

BACKGROUND Restroom cleanliness is an important factor in hospital quality. Due to its dynamic process, it can be difficult to detect the presence of dirty restrooms that need to be cleaned. Using an Internet of Things (IoT) button can permit users to designate restrooms that need cleaning and in turn, allow prompt response from housekeeping to maintain real-time restroom cleanliness. OBJECTIVE This study aimed to describe the deployment of an IoT button–based notification system to measure hospital restroom cleanliness reporting system usage and qualitative feedback from housekeeping staff on IoT button use. METHODS We deployed IoT buttons in 16 hospital restrooms. Over an 8-month period, housekeeping staff received real-time notifications and responded to button presses for restroom cleaning. All button presses were recorded. We reported average button usage by hospital area, time of day, and day of week. We also conducted interviews with housekeeping supervisors and staff to understand their acceptance of and experience with the system. RESULTS Over 8 months, 1920 requests to clean restrooms in the main hospital lobby and satellite buildings were received. The hospital lobby IoT buttons received over half (N=1055, 55%) of requests for cleaning. Most requests occurred in afternoon hours from 3 PM to midnight. Requests for cleaning remained stable throughout the work week with fewer requests occurring over weekends. IoT button use was sustained throughout the study period. Interviews with housekeeping supervisors and staff demonstrated acceptance of the IoT buttons; actual use was centered around asynchronous communication between supervisors and staff in response to requests to clean restrooms. CONCLUSIONS An IoT button system is a feasible method to generate on-demand request for restroom cleaning that is easy to deploy and that users will consistently engage with. Data from this system have the potential to enable responsive scheduling for restroom service and anticipate periods of high restroom utilization in a hospital.

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