Using Technology to Enhance Instruction and Learning in the Music Classroom

Technology integration is a rapidly growing trend in the field of education today. This study investigates various ways of integrating technology to enhance instruction and learning in the music classroom. In order for technology to be effectively integrated in the music classroom, music educators must not only be aware of the technology available but must also remain informed of the most effective ways of implementing technology into instruction and learning. The scope of this study examines the use of two specific resources, SmartMusic and Teoria, and their effectiveness in teaching and learning sight-singing, ear-training, and rhythm reading, notation, and performance skills in a high school music class setting. Data, in the form of pre and post-assessment scores, is collected and analyzed to measure learning and mastery of skills. This analysis helps to determine the effectiveness of technology integration during instruction and practice. Additional data is collected through surveys administered to students as well as a group of music educators concerning their experiences with technology in the music classroom. The results drawn from this data are useful in determining effective ways of using technology to enhance instruction and learning in the music classroom

Comparison of Magnetic Resonance Feature Tracking for Strain Calculation With Harmonic Phase Imaging Analysis

ObjectivesTo compare a steady-state free precession cine sequence–based technique (feature tracking [FT]) to tagged harmonic phase (HARP) analysis for peak average circumferential myocardial strain (εcc) analysis in a large and heterogeneous population of boys with Duchenne muscular dystrophy (DMD).BackgroundCurrent εcc assessment techniques require cardiac magnetic resonance–tagged imaging sequences, and their analysis is complex. The FT method can readily be performed on standard cine (steady-state free precession) sequences.MethodsWe compared mid-left ventricular whole-slice εcc by the 2 techniques in 191 DMD patients grouped according to age and severity of cardiac dysfunction: group B: DMD patients 10 years and younger with normal ejection fraction (EF); group C: DMD patients older than 10 years with normal EF; group D: DMD patients older than 10 years with reduced EF but negative myocardial delayed enhancement (MDE); group E: DMD patients older than 10 years with reduced EF and positive MDE; and group A: 42 control subjects. Retrospective, offline analysis was performed on matched tagged and steady-state free precession slices.ResultsFor the entire study population (N = 233), mean FT εcc values (−13.3 ± 3.8%) were highly correlated with HARP εcc values (−13.6 ± 3.4%), with a Pearson correlation coefficient of 0.899. The mean εcc of DMD patients determined by HARP (−12.52 ± 2.69%) and FT (−12.16 ± 3.12%) was not significantly different (p = NS). Similarly, the mean εcc of the control subjects by determined HARP (−18.85 ± 1.86) and FT (−18.81 ± 1.83) was not significantly different (p = NS). Excellent correlation between the 2 methods was found among subgroups A through E, except there was no significant difference in strain between groups B and C with FT analysis.ConclusionsFT-based assessment of εcc correlates highly with εcc derived from tagged images in a large DMD patient population with a wide range of cardiac dysfunction and can be performed without additional imaging