University of Tennessee Institute of Agriculture
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Digital Innovations in Group Piano Instruction
No full textThis presentation will explore the transformative impact of integrating web-based digital textbooks into higher education music programs, specifically focusing on group piano curricula. By moving away from traditional paper-based textbooks, this approach leverages interactive, multimedia resources to create a dynamic and engaging learning environment. Attendees will gain insights into how digital textbooks, such as the award-winning eNovative Piano, can enhance students\u27 understanding of musical concepts, foster technical proficiency, and promote a deeper connection between sound, theory, and technique. By attending this session, participants will understand how a multimedia approach in piano education can cultivate adaptability, responsiveness, and creativity, ultimately preparing students for successful careers in a rapidly evolving musical landscape.
Higher education music programs mandate music majors to achieve keyboard proficiency, establishing a foundational skill set essential for their musical development. However, as the demands for rapid technological advancements rise, many colleges piano curricula often remain anchored in traditional methodologies, relying heavily on outdated paper-based textbooks. This session demonstrates the transformative benefits of web-based digital textbooks that create a multi-dimensional learning environment, ensuring students are well-prepared for their future careers. Examples will be drawn from an award-winning multimedia group piano text, eNovative Piano
Exploring Risk Factors Influencing Motorists’ Crash Injury Severities in District Peshawar, Pakistan
No full textTraveling in a motor car is a popular mode of conveyance across Pakistan. Similarly, motorists constitute about 66% of total registered cars in Peshawar District, which observed a 200% increase from 2006 to 2016. The current research estimates a Random Parameter Logit (RPL) Model by heterogeneousness means & variations in order to identify various parameters that contribute to the motorists\u27 severity of injury. The effects of motorist traits, temporal characteristics, motor vehicle features, roadway attributes, weather characteristics, and the effects of speed limits were predominantly considered for this analysis. Generally, typical approximation results show that the chance and severity of injuries increase for accidents involving young drivers, winter indicators, and crashes that occurred between 10 AM-02 PM. Likewise, minor wound smashes are more likely to involve senior drivers, occurring during sunny weather, in the autumn season, and in the month of August. Safety measures are suggested based on the findings of this research study to improve motorists\u27 safety, e.g., educating drivers about traffic rules and safety, zero tolerance for driving without a valid license, and enforcing speed limits on the roads. The results of this study will help in formulating strategies to improve motorists\u27 safety
Harmonizing Tradition and Technology: Exploring the Use of Artificial Intelligence in Applied Music Instruction
No full textThis presentation highlights how AI tools can enhance applied music instruction by providing real-time feedback, streamlining lesson planning, and personalizing instruction. Attendees will learn how AI fosters more effective teaching and independent student practice, while also exploring opportunities for interdisciplinary collaboration and innovation. This session equips music educators with strategies to modernize teaching and improve outcomes in 21st-century music programs
Improving Perinatal Mood and Anxiety Disorder Identification and Referral Process During Prenatal Care
No full textBackground: Perinatal Mood and Anxiety Disorders (PMAD), including depression, anxiety, and bipolar disorder, affect approximately 1 in 7 pregnant women and can have long-lasting effects on both mothers and children with ongoing complications. Initial prenatal screening facilitates early identification of PMADs ensuring appropriate evaluation and treatment.
Local Problem: The project team implemented a universal screening process during the initial 12-week prenatal appointment, aiming to screen 90% of women for depression and anxiety, and 60% for bipolar disorder. Additionally, the goal was for 60% of women with positive screens to receive further resources and/or mental health referrals.
Methods: Guided by the Evidence-based Practice Improvement Model, the project used the Edinburgh Postnatal Depression Scale (EPDS) to screen for depression and anxiety, and the Mood Disorder Questionnaire (MDQ) for bipolar disorder. PDSA cycles were utilized to measure screening rates, positive screens, provider evaluation, resources, and project modifications.
Interventions: Patients with positive EPDS or MDQ screening results were evaluated by a provider and offered recommended resources, treatment, and/or referrals.
Results: Out of 367 patients, 304 were screened for depression and 293 for anxiety, for an average screening rate of 83%. Forty-two patients (14%) screened positive for depression and 62 (20%) for anxiety, with 32 (43%) exhibiting co-occurrence. Further, 305 patients (84%) were screened for bipolar disorder, with 7 (2.3%) screening positive. Providers documented screening and evaluated 60 (82%) of the 73 positive screens, with 38 (52%) receiving resources or referrals. All 7 positive bipolar patient screens had proper documentation and evaluation, with 4 (57%) receiving a resource or referral.
Conclusion: The EPDS and MDQ were administered at the 12-week prenatal visit over 83% of the time. More than half of those who screened positive were assessed by a provider and received appropriate resources, treatment, or referrals
