Chapter 6. Interaction and phonetic form in task completion

2017 ◽  
pp. 122-147 ◽  
Author(s):  
Megan Solon
Keyword(s):  
Task Completion

Evaluation of Writing Assignments

2017 ◽  
Vol 6 (2) ◽  
pp. 214
Author(s):  
Anita Jokić
Keyword(s):  
Standardized Tests ◽  
Teaching And Learning ◽  
Task Completion ◽  
Writing Assignments ◽  
Listening Skill ◽  
Job Application ◽  
Written Assignments ◽  
Insight Into ◽  
Teacher’S Responsibilities ◽  
Do So

Teaching English as a foreign language is now one of the most important subjects in Croatian secondary schools since English is one of the three obligatory subjects at 'matura' - standardized tests which the seniors need to pass to graduate. Writing is one of the three parts of the EL exam, the other two being listening and reading. When learning a language, students start from listening skill, move on to speaking and reading and finally to most difficult skill to master: writing. Teaching and learning writing faces a lot of challenges since it requires a lot of time to practice and even more to evaluate and monitor progress. Teacher's responsibilities are to regularly provide opportunities to write, encourage students to learn from their mistakes and promote their success. In order to do so, students should be given clear instructions on evaluation/assessment and concise feedback. Since grading written assignments takes up a lot of time, the author proposes rubrics which can be used to assess various types of writing taught at secondary level (description of place/event/person, letters of complaint, job application, invitation, discursive/opinion/for-and-against essay etc.). Author suggests four fixed rubrics and subdivisions: Task completion, Cohesion / coherence, Grammar and Vocabulary. All rubrics and subdivisions are described in the paper. A survey was also conducted on a sample of 140 students and has given an insight into students’ opinion on importance of assessment and feedback and its influence on their progress.

Task scheduling algorithm based on improved genetic algorithm in cloud computing environment

2020 ◽  
Vol 13 ◽  
Author(s):  
Ge Weiqing ◽  
Cui Yanru
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Task Completion ◽  
Improved Genetic Algorithm ◽  
Fitness Functions ◽  
Task Scheduling Algorithm ◽  
Simulation Results

Background: In order to make up for the shortcomings of the traditional algorithm, Min-Min and Max-Min algorithm are combined on the basis of the traditional genetic algorithm. Methods: In this paper, a new cloud computing task scheduling algorithm is proposed, which introduces Min-Min and Max-Min algorithm to generate initialization population, and selects task completion time and load balancing as double fitness functions, which improves the quality of initialization population, algorithm search ability and convergence speed. Results: The simulation results show that the algorithm is superior to the traditional genetic algorithm and is an effective cloud computing task scheduling algorithm. Conclusion: Finally, this paper proposes the possibility of the fusion of the two quadratively improved algorithms and completes the preliminary fusion of the algorithm, but the simulation results of the new algorithm are not ideal and need to be further studied.

74 Improving Handover Between Doctors and Nurses on An Elderly Care Ward

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
K Suseeharan ◽  
T Vedutla
Keyword(s):  
High Risk ◽  
Patient Care ◽  
Positive Impact ◽  
Elderly Care ◽  
Task Completion ◽  
Risk Area ◽  
High Risk Area ◽  
Staff Members ◽  
Care Ward ◽  
Doctors And Nurses

Abstract Background The Royal College of Physician guidelines (2011) identified handover as a “high risk step” in patient care, especially in recent times within the NHS where shift patterns lead to more disjointed care with a high reliance on effective handover by all staff members. Introduction At Cannock Chase hospital, Fairoak ward is an elderly care rehabilitation ward where there is a large multi-disciplinary team. While working on the ward as doctors we noticed that handover between the MDT was poor. Anecdotal evidence from both doctors and nurses felt that this was a high risk area in need of improvement. Aim to improve handover between doctors and nurses on this elderly care ward. Method To measure the quality of current handover practice we did a questionnaire. A total of 12 questionnaires were completed which showed that 92% of staff felt that handover on the ward was very poor and 50% preferred both written and verbal handover. We measured the number of tasks verbally handed over between doctors and nurses over 3 days. On average 65% of the tasks were completed. We then made the below interventions and re-audited to see if there was any improvement. Interventions over 3 week period: Results Questionnaire: Measuring task completion after interventions; Conclusion This project has made a positive change qualitatively and quantitatively to the ward handover practice. Staff satisfaction regarding handover has improved and the number of “handed over” tasks completed daily has significantly improved. The written handover sheet had poor utilisation by staff but in 4 months we are going to re-audit and trial the handover sheet again to further improve service delivery. We hope this improvement will have a positive impact on patient care on this elderly care ward.

scholarly journals 845 Flattening the Learning Curve: The Evaluation of Extended Laparoscopic Simulation Training for Novice Surgeons

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
S A Joiya ◽  
M Hamid ◽  
Z Siddiqui
Keyword(s):  
Learning Curve ◽  
Skill Acquisition ◽  
Postoperative Recovery ◽  
Task Completion ◽  
Complication Rates ◽  
Novice Group ◽  
Surgical Trainees ◽  
Long Duration ◽  
Hospital Stays ◽  
Novice Surgeons

Abstract Introduction Associated with faster postoperative recovery, reduced length of hospital stays and scarring; laparoscopy has become the favoured approach for many surgical procedures across a range of specialties. However, due to its challenging learning curve, it has also been associated with increased theatre time and higher complication rates. Method A prospective, observational study with box trainers was carried out by novice medical students and trainees to evaluate the efficacy of long duration courses on skill acquisition. The novice group undertook a 5-week curriculum composed of lectures, demonstrations and spaced timed-assessments involving 3 tasks: hoop placement, stacking of sugar cubes and surgical cutting. Results Time taken for novice participants to complete a task individually and collectively improved markedly from the first to the third attempt, with an overall 44% reduction in time observed over the 5-weeks. We invited back 6 novice participants and 6 core surgical trainees after 4-weeks to complete the same tests. There was a further 18% time improvement in the novice group, with 44% faster task completion. Conclusions Given the success of this study and other simulation courses reported in the literature, we recommend more courses adopt a spaced-out approach; and a simulation curriculum for surgical trainees to cultivate greater skill acquisition.

scholarly journals Improved Mutual Understanding for Human-Robot Collaboration: Combining Human-Aware Motion Planning with Haptic Feedback Devices for Communicating Planned Trajectory

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3673
Author(s):  
Stefan Grushko ◽  
Aleš Vysocký ◽  
Petr Oščádal ◽  
Michal Vocetka ◽  
Petr Novák ◽  
...  
Keyword(s):  
User Study ◽  
Haptic Feedback ◽  
Fundamental Aspect ◽  
Task Completion ◽  
Good Efficiency ◽  
Notification System ◽  
Movement Data ◽  
Novel Approach ◽  
Machine Interface ◽  
High Degree

In a collaborative scenario, the communication between humans and robots is a fundamental aspect to achieve good efficiency and ergonomics in the task execution. A lot of research has been made related to enabling a robot system to understand and predict human behaviour, allowing the robot to adapt its motion to avoid collisions with human workers. Assuming the production task has a high degree of variability, the robot’s movements can be difficult to predict, leading to a feeling of anxiety in the worker when the robot changes its trajectory and approaches since the worker has no information about the planned movement of the robot. Additionally, without information about the robot’s movement, the human worker cannot effectively plan own activity without forcing the robot to constantly replan its movement. We propose a novel approach to communicating the robot’s intentions to a human worker. The improvement to the collaboration is presented by introducing haptic feedback devices, whose task is to notify the human worker about the currently planned robot’s trajectory and changes in its status. In order to verify the effectiveness of the developed human-machine interface in the conditions of a shared collaborative workspace, a user study was designed and conducted among 16 participants, whose objective was to accurately recognise the goal position of the robot during its movement. Data collected during the experiment included both objective and subjective parameters. Statistically significant results of the experiment indicated that all the participants could improve their task completion time by over 45% and generally were more subjectively satisfied when completing the task with equipped haptic feedback devices. The results also suggest the usefulness of the developed notification system since it improved users’ awareness about the motion plan of the robot.

scholarly journals A Practical Experience on the Amazon Alexa Integration in Smart Offices

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 734
Author(s):  
Răzvan Bogdan ◽  
Alin Tatu ◽  
Mihaela Marcella Crisan-Vida ◽  
Mircea Popa ◽  
Lăcrămioara Stoicu-Tivadar
Keyword(s):  
Project Management ◽  
New Technologies ◽  
Practical Experience ◽  
Working Environment ◽  
Management Tool ◽  
Task Completion ◽  
Test Cases ◽  
Business World ◽  
Office Environment ◽  
The Voice

Smart offices are dynamically evolving spaces meant to enhance employees’ efficiency, but also to create a healthy and proactive working environment. In a competitive business world, the challenge of providing a balance between the efficiency and wellbeing of employees may be supported with new technologies. This paper presents the work undertaken to build the architecture needed to integrate voice assistants into smart offices in order to support employees in their daily activities, like ambient control, attendance system and reporting, but also interacting with project management services used for planning, issue tracking, and reporting. Our research tries to understand what are the most accepted tasks to be performed with the help of voice assistants in a smart office environment, by analyzing the system based on task completion and sentiment analysis. For the experimental setup, different test cases were developed in order to interact with the office environment formed by specific devices, as well as with the project management tool tasks. The obtained results demonstrated that the interaction with the voice assistant is reasonable, especially for easy and moderate utterances.

The Effects of Language Barriers and Time Constraints on Online Learning Performance: An Eye-Tracking Study

2021 ◽  
pp. 001872082110109
Author(s):  
Auður Anna Jónsdóttir ◽  
Ziho Kang ◽  
Tianchen Sun ◽  
Saptarshi Mandal ◽  
Ji-Eun Kim
Keyword(s):  
Online Learning ◽  
Eye Movement ◽  
Completion Time ◽  
Language Use ◽  
Time Pressure ◽  
Time Constraints ◽  
Task Completion ◽  
Esl Students ◽  
Task Completion Time ◽  
Eye Fixation

Objective The goal of this study is to model the effect of language use and time pressure on English as a first language (EFL) and English as a second language (ESL) students by measuring their eye movements in an on-screen, self-directed learning environment. Background Online learning is becoming integrated into learners’ daily lives due to the flexibility in scheduling and location that it offers. However, in many cases, the online learners often have no interaction with one another or their instructors, making it difficult to determine how the learners are reading the materials and whether they are learning effectively. Furthermore, online learning may pose challenges to those who face language barriers or are under time pressure. Method The effects of two factors, language use (EFL vs. ESL) and time constraints (high vs. low time pressure), were investigated during the presentation of online materials. The effects were analyzed based on eye movement measures (eye fixation rate—the total number of eye fixations divided by the task duration and gaze entropy) and behavioral measures (correct rate and task completion time). Results The results show that the ESL students had higher eye fixation rates and longer task completion times than the EFL students. Moreover, high time pressure resulted in high fixation rates, short task completion time, low correct rates, and high gaze entropy. Conclusion and Application The results suggest the possibility of using unobtrusive eye movement measures to develop ways to better assist those who struggle with learning in the online environment.

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