The Reliability of Non-Cognitive Admissions Measures in Predicting Non-traditional Doctor of Pharmacy Student Performance Outcomes

2003 ◽  
Vol 67 (1) ◽  
pp. 18 ◽  
Author(s):  
Scott K. Stolte ◽  
Stephanie B. Scheer ◽  
Evan T. Robinson
Keyword(s):  
Student Performance ◽  
Performance Outcomes ◽  
Pharmacy Student ◽  
Doctor Of Pharmacy

Alternative Assessment for Music Students with Significant Disabilities

2019 ◽  
pp. 224-241
Author(s):  
Donald DeVito ◽  
Megan M. Sheridan ◽  
Jian-Jun Chen-Edmund ◽  
David Edmund ◽  
Steven Bingham
Keyword(s):  
Public School ◽  
Music Education ◽  
Students With Disabilities ◽  
Student Performance ◽  
Alternative Assessment ◽  
Performance Outcomes ◽  
General Music ◽  
Significant Disabilities ◽  
School Music ◽  
K 12

How is it possible to move beyond assessment for the purposes of evaluating teacher proficiency and student performance outcomes and instead to consider assessment for understanding student musical experiences and preferences for the purpose of promoting lifelong musical engagement? This chapter includes and examines three distinct music education approaches that have been taken at the K–12 Sidney Lanier Center School for students with varying exceptionalities in Gainesville, Florida. Megan Sheridan illustrates inclusion and assessment using the Kodály approach. David Edmund and Jian-Jun Chen-Edmund examine creative lessons developed for exceptional learners in a general music setting. Steven Bingham and Donald DeVito illustrate adaptive jazz inclusion and performance for public school and university students with disabilities. This collaborative development in qualitative music assessment has taken place through (1) developing methods of communicating recognition of student engagement and affective responses during inclusive engagement in public school music education settings, specifically in Kodaly-based music instruction, K–12 general music classes, and secondary jazz ensembles; (2) using students’ interest and engagement as a means of curriculum development and assessment in inclusive public school music settings; and (3) building collaborative relationships with parents and the community for post-school lifelong music learning.

A Survey of Faculty Advisers at Student-Run Agencies: Can Organizational Theory Help to Guide Future Research?

2021 ◽  
Vol 25 (1) ◽  
pp. 37-53
Author(s):  
Brooke Borgognoni ◽  
Jan LeBlanc Wicks
Keyword(s):  
Student Performance ◽  
Organizational Theory ◽  
Past Research ◽  
Performance Outcomes ◽  
Future Research ◽  
Faculty Advisers

This survey of faculty advisers examined major variables and findings of past research on student-run agencies using organizational theory. Larger agencies appeared to offer training in more formalized business procedures among a more diverse client base, found in previous research to be helpful to student-run agency graduates now on the job. Hopefully, results will help future researchers identify which factors may best facilitate specific student performance outcomes at agencies of all types and sizes.

scholarly journals Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems

2021 ◽  
Author(s):  
Ekaterina Kochmar ◽  
Dung Do Vu ◽  
Robert Belfer ◽  
Varun Gupta ◽  
Iulian Vlad Serban ◽  
...  
Keyword(s):  
Machine Learning ◽  
Student Performance ◽  
Language Processing ◽  
Intelligent Tutoring Systems ◽  
Large Scale ◽  
Intelligent Tutoring ◽  
Performance Outcomes ◽  
Data Driven ◽  
Personalized Feedback ◽  
Tutoring Systems

AbstractIntelligent tutoring systems (ITS) have been shown to be highly effective at promoting learning as compared to other computer-based instructional approaches. However, many ITS rely heavily on expert design and hand-crafted rules. This makes them difficult to build and transfer across domains and limits their potential efficacy. In this paper, we investigate how feedback in a large-scale ITS can be automatically generated in a data-driven way, and more specifically how personalization of feedback can lead to improvements in student performance outcomes. First, in this paper we propose a machine learning approach to generate personalized feedback in an automated way, which takes individual needs of students into account, while alleviating the need of expert intervention and design of hand-crafted rules. We leverage state-of-the-art machine learning and natural language processing techniques to provide students with personalized feedback using hints and Wikipedia-based explanations. Second, we demonstrate that personalized feedback leads to improved success rates at solving exercises in practice: our personalized feedback model is used in , a large-scale dialogue-based ITS with around 20,000 students launched in 2019. We present the results of experiments with students and show that the automated, data-driven, personalized feedback leads to a significant overall improvement of 22.95% in student performance outcomes and substantial improvements in the subjective evaluation of the feedback.

Effect of Community and Academic Surgical Rotation Sites on Medical Student Performance Outcomes and Career Choices

2019 ◽  
Vol 76 (4) ◽  
pp. 970-974 ◽  
Author(s):  
Meghan Garstka ◽  
Michelle Honda ◽  
Jason Crowther ◽  
Annie Hess ◽  
Rebecca Schroll ◽  
...  
Keyword(s):  
Medical Student ◽  
Student Performance ◽  
Career Choices ◽  
Performance Outcomes

A Description of Academic Work and Student Performance during a Middle School Volleyball Unit

1987 ◽  
Vol 7 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Kathy C. Graham
Keyword(s):  
Student Performance ◽  
Motor Skill ◽  
Performance Outcomes ◽  
Teacher Education Programs ◽  
Physical Education Class ◽  
Skill Levels ◽  
Lesson Analysis ◽  
Task Practice ◽  
High Level

This article describes the movement tasks (Rink, 1985) in which students engaged during a 14-lesson volleyball unit in an eighth-grade physical education class, and the differential motor skill responses of high- and low-skilled target students during the practice of these tasks. Audio and videotaped records were made of each lesson. Analysis focused on the identification of the movement tasks that were verbally presented by the teacher during the lessons, the determination of students’ level of engagement in these tasks, and the frequency and rate of motor skill responses/successful motor skill responses during task practice for three high- and three low-skilled students. Thirteen major movement tasks were identified that formed a simple to complex progression of activities. A high level of consistent student engagement in tasks was observed, as well as differential performance outcomes for students of high/low skill levels. The results reveal the complexity of providing appropriate instruction for different skill levels in a class. Implications for research and teacher education programs are discussed.

A Meta-Analysis of the Validity of the Pharmacy College Admission Test (PCAT) and Grade Predictors of Pharmacy Student Performance

2005 ◽  
Vol 69 (3) ◽  
pp. 51 ◽  
Author(s):  
Nathan R. Kuncel ◽  
Marcus Credé ◽  
Lisa L. Thomas ◽  
David M. Klieger ◽  
Stephanie N. Seiler ◽  
...  
Keyword(s):  
Student Performance ◽  
Meta Analysis ◽  
College Admission ◽  
Pharmacy Student ◽  
Admission Test

scholarly journals Preceptor Perceptions of Pharmacy Student Performance Before and After a Curriculum Transformation

2021 ◽  
pp. 8575
Author(s):  
Catherine A. Forrester ◽  
Da Sol Lee ◽  
Ethel Hon ◽  
Kai Ying Lim ◽  
Tina P. Brock ◽  
...  
Keyword(s):  
Student Performance ◽  
Pharmacy Student ◽  
Before And After ◽  
Curriculum Transformation

scholarly journals The impact of weekly multicourse collective exams on pharmacy student academic behaviors and learning in an integrated biological sciences course

2021 ◽  
Vol 45 (3) ◽  
pp. 575-579
Author(s):  
Amie J. Dirks-Naylor
Keyword(s):  
Biological Sciences ◽  
Degree Program ◽  
Pharmacy Student ◽  
Final Exam ◽  
Academic Behaviors ◽  
First Semester ◽  
Course Grades ◽  
Final Exams ◽  
Doctor Of Pharmacy ◽  
The Impact

Doctor of Pharmacy (PharmD) degree program curricula are typically comprised of heavy course loads and assessment burden. Typically, students “live” from exam to exam only preparing and studying for the exam directly ahead of them while neglecting concurrent courses. Therefore, the aim of the study was to determine the impact of weekly multicourse collective exams academic behaviors and learning in an integrated biological sciences (BSI) course within a PharmD program. Weekly multicourse exams included questions, four per credit hour, from all first semester courses that traditionally included summative exams. Seven courses contributed questions, which amounted to 15 weekly exams of ∼60 questions. No other graded assessments were given in any of the courses, other than individual course cumulative final exams; the final exams in each course were not collective. After completion of final exams, a Qualtrics survey was emailed to all students and the two professors teaching the course. Course grades, not including the final exam, were compared between two cohorts with or without the collective exams to determine impact on learning. The cumulative final exam was compared between cohorts to determine impact on retention. The majority of students agreed or strongly agreed that the weekly collective exams encouraged them to study BSI more frequently, most days of the week, reduced the likelihood of skipping class, and increased likelihood to pay attention and engage in class. The majority believed that they better learned and retained the BSI material. The majority specified that they liked the collective exams for BSI and preferred it over a traditional exam schedule. Learning also appeared to be improved. However, the impact on retention is less clear and requires further research. In conclusion, the weekly multicourse collective exams improved academic behaviors and learning.

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