Response to Intervention: Providing Reading Intervention to Low Income and Minority Students

With a renewed focus on early intervention, teachers must address the difficulties students are having as early as possible to promote their progress. Culturally and linguistically diverse students may not respond to universal interventions that have shown efficiency for mainstream populations. In order for Response to Intervention to be effective, we need to include diverse populations when researching all tiers of instruction.     

Classroom conditions to secure enjoyment and achievement: the pupils' voice. Listening to the voice of Every child matters

This paper argues that pupil voice and the active engagement of pupils in shaping their own educational experience are integral to the success of the ‘Enjoy and Achieve’ strand of the Every child matters: Change for children programme. Through accessing the voice of Key Stage 2 pupils, insight was gained into what pupils believe to be the ideal ‘classroom conditions’ which enable them to enjoy and achieve at school. Pupil voice was accessed using an innovative form of group interview incorporating an Ishikawa or fishbone tool. The data was collected from 180 pupils, from Years 3–6 (aged 7–11) in a UK Junior school. The findings identify eight ‘classroom conditions’ which pupils see as being critical for them to be able to enjoy and achieve at school. Two of these ‘classroom conditions’ do not appear to be supported by previous research.     

Increasing student engagement using an Amazing Race–style competition

Background:Game-based learning is a successful strategy for teaching various concepts to students, from general orientations to more in-depth material. Pharmacy students in a first-year lab course were introduced to library and drug information resources through a lecture-style class in their first week of school, which was ineffective in terms of engagement. To combat this issue, the pharmacy liaison librarian advocated for moving this class session later in the semester and proposed a game-based activity to replace the lecture.Case Presentation:“The Amazing Race: Drug Information Edition” was inspired by a well-known TV competition that involves completing several stages (called “legs”) of challenges to finish the race. The librarian developed questions designed to make students use various parts of the library website as well as two drug information databases. Students competed in teams, and the first three teams to complete the race were awarded small prizes. The race was first implemented in 2018, and modifications were made to the 2019 iteration based on student feedback.Conclusions:Despite several challenges, the race was well received by both the students and the course instructors and increased engagement with introductory library and drug information material. The activity has enhanced the librarian''s relationship and collaboration with the course faculty and made a positive impression on the students.     

Focus on nursing point-of-care tools: application of a new evaluation rubric

Objective:Point-of-care tools (PoCTs) provide evidence-based information on patient care and procedures at the time of need. Registered nurses have unique practice needs, and many PoCTs are marketed to support their practice. However, there is little reported evidence in the literature about evaluating nursing-focused PoCTsCase Presentation:The investigators developed a rubric containing evaluation criteria based on content, coverage of nursing topics, transparency of the evidence, user perception, and customization of PoCTs for supporting nursing practice. The investigators selected five PoCTs cited in the literature and of interest to local nursing leadership: ClinicalKey for Nursing, DynaMed, Lippincott''s Advisor and Procedures, Nursing Reference Center Plus, and UpToDate. Application of the rubric found Lippincott had the highest coverage of diagnoses, while ClinicalKey for Nursing had strong content focused on interventions and outcomes. Nursing Reference Center Plus provided the most well-rounded coverage of nursing terminology and topics. DynaMed and UpToDate were more transparent with indicating conflict of interest, but both had lower coverage of nursing terminology, content, and care processes.Conclusion:None of the five PoCTs strongly met all of the evaluated criteria. The rubric developed for this study highlights each PoCT''s strengths and weaknesses that can then be used to inform the decision-making process based on priorities and budget. The investigators recommend licensing a nursing PoCT and a PoCT like DynaMed or UpToDate to provide comprehensive, evidence-based, patient care coverage and to meet the diverse information needs of nurses.     

Improving energy expenditure estimates from wearable devices: A machine learning approach

ABSTRACT

A means of quantifying continuous, free-living energy expenditure (EE) would advance the study of bioenergetics. The aim of this study was to apply a non-linear, machine learning algorithm (random forest) to predict minute level EE for a range of activities using acceleration, physiological signals (e.g., heart rate, body temperature, galvanic skin response), and participant characteristics (e.g., sex, age, height, weight, body composition) collected from wearable devices (Fitbit charge 2, Polar H7, SenseWear Armband Mini and Actigraph GT3-x) as potential inputs. By utilising a leave-one-out cross-validation approach in 59 subjects, we investigated the predictive accuracy in sedentary, ambulatory, household, and cycling activities compared to indirect calorimetry (Vyntus CPX). Over all activities, correlations of at least r = 0.85 were achieved by the models. Root mean squared error ranged from 1 to 1.37 METs and all overall models were statistically equivalent to the criterion measure. Significantly lower error was observed for Actigraph and Sensewear models, when compared to the manufacturer provided estimates of the Sensewear Armband (p < 0.05). A high degree of accuracy in EE estimation was achieved by applying non-linear models to wearable devices which may offer a means to capture the energy cost of free-living activities.