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Background: In 2018, it was found that only a quarter of Grade 3 children in India were reading at grade level. A growing demand for English education has further limited children's literacy achievement. Despite a strong evidence base in favour of using systematic phonics for building English literacy skills, many teachers in India continue to use rote‐methods of literacy instruction. Objectives: We aimed to examine the efficacy of GraphoLearn (GL) English Rime, a computer‐assisted reading intervention, in improving the foundational literacy skills of 1st and 2nd grade students who were attending an English medium school in India. Methods: A total of 136 students across 6 classrooms were randomly allocated to play either GL or a control math game over a 5‐week intervention period. Students were pre‐ and post‐tested on various English literacy skills using tasks built into the GL software as well as through oral and paper‐based tasks. Results and Conclusions: Students who played GL showed significantly greater and faster development on in‐game measures of letter‐sound knowledge, rime unit recognition, and word recognition as compared to students who did not play GL. In addition, GL resulted in greater effects on these measures for students with stronger English literacy skills prior to the start of the intervention. No differences were found between groups on the oral and paper‐based tasks. Implications: GL was able to quickly and effectively teach critical sub‐skills for reading. However, a lack of effects on the out‐of‐game measures opens the door for further discussion on the successful implementation of such interventions. Lay Description: What is already known about this topic:India has an ongoing literacy crisis with many children failing to acquire functional literacy skills.Under‐resourced schools,outdated pedagogical methods, and a demand for English‐medium education are partially to blame.Globally, technology is being increasingly looked at to help improve student learning levels across all subject areas.There are a lack of studies examining the efficacy of various ed‐tech tools to improve literacy in the context of India.What this paper adds:The study aimed to test GraphoLearn English (GL), a mobile game designed to teach and practice early reading skills through phonics with first and second graders.Results showed that children who played GL outperformed those who did not play on critical literacy skills such as letter‐sound knowledge and word recognition.In addition, GL was more effective for those who had higher pre‐existing English literacy skills.However, improvements were only seen on measures assessed in the game and not on measures assessed orally or on paper.Implications for practice and/or policy:GL and other educational technologies can be extremely effective tools which allow for an individualized learning experience.However, it is important that for any educational game, learning moves beyond the game itself.Teachers are critical players in this process and must ensure that tech‐based instruction is integrated with teacher‐led instruction.Policy makers and school administration must ensure that teachers are adequately trained on when, with whom, and how to use such technologies before they are introduced. [ABSTRACT FROM AUTHOR]

Background: Sleep disturbance negatively affects recovery and survival of patients in intensive care units (ICUs). Aims and Objectives: This study aimed to measure the noise levels and evaluate the impact of a white noise app on the sleep quality of critically ill patients. Design: A quasi‐experimental time series pre‐test–post‐test control group design with repeated measures was adopted. Methods: The study was conducted in the high dependency unit (HDU) of a selected tertiary care hospital in Mangalore, Karnataka State, India. Conscious oriented patients with systolic blood pressure ranging from 100/70 to 140/90 mm Hg and hearing acuity of at most 20 dB in both ears were included in the study. Noise levels in the HDU were measured using calibrated sound level meter on weekdays/weekends in three different shifts and an average of 24 readings was obtained per shift. A 4‐point Likert scale was used to assess the sleep quality. The intervention included administration of white noise app twice a day, for three consecutive days by using different masking sounds such as white noise on day 1 which resembles to a humming AC conditioner, pink noise on day 2 which resembles to the sound of ocean waves and brown noise on day 3 which resembles a steady rainfall. The app was used with the help of JBL earphones C10SI an excellent noise cancellation and noise isolating earphone. Results: Among the 54 subjects, the mean age of the patients was 40.28 years, majority 34 (63%) were males. The noise level in the ICU was more than 60 dB. There was a significant difference in the sleep quality after the application of the white noise app in the experimental group on Day 1 (Z = −3.996; P =.001), Day 2 (Z = −3.302; P =.001), and Day 3 (−2.822; P =.005) compared to the control group. Conclusion: Adoption of technology driven noise reduction applications would enhance the quality of sleep among the ICU patients. Relevance to clinical practice: The use of a technology‐driven application helps control noise levels which promotes improved sleep quality among critically ill patients in the intensive care units. [ABSTRACT FROM AUTHOR]