A differentiated picture of student performance in introductory courses to theory of computation

2020 ◽  
pp. 1-25
Author(s):  
Christiane Frede ◽  
Maria Knobelsdorf
2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 324-325
Author(s):  
Kirstin M Burnett ◽  
Leslie Frenzel ◽  
Wesley S Ramsey ◽  
Kathrin Dunlap

Abstract The consistency of instruction between various sections of introductory courses is a concern in higher education, along with properly preparing students to enter careers in industry. The study was conducted at Texas A&M University, using an introductory course, General Animal Science, within the Department of Animal Science. This course was chosen due to the utilization of specific animal science industry related terminology within the course content in support of learning outcomes. The study was a quantitative nonexperimental research method that was conducted over a single semester in 2018. General Animal Science is a large-scale course that contains multiple sections, and this study evaluated assessments created by individual faculty members who instructed different sections, Section A and Section B. These sections were selected as they were composed of both animal science majors and non-majors. Section A had a significantly higher (P < 0.001) number of majors versus non-majors than Section B. Assessment questions were collected from all examinations and quizzes distributed throughout the semester and were compiled into a single document for coding. These specific terms were chosen from literature to provide a benchmark for a potential relationship between student performance on questions containing industry related terminology as opposed to those that do not. Comparing the use of specific industry coded terminology in assessment questions yielded no significant difference (P < 0.05) between the two instructors or sections. These findings demonstrate consistent use of benchmarked industry related terminology in assessment questions across multiple sections, irrespective of individual instructor or student major. This provides a necessary foundation for future analysis of student performance.


2021 ◽  
pp. 009862832110184
Author(s):  
Christine Ma-Kellams ◽  
Roy Kwon

Objective: How do learning communities influence academic performance in Introductory Psychology? Method: The present research examines the relationship between participation in first-year students learning communities and academic performance across a variety of course requirements (midterms, finals, papers, and class participation) in introductory psychology and, for comparison, sociology courses. Results: Students who took Introductory Psychology as part of a first-year-student learning community outperformed their peers (who took the same course without a learning community) on the first exam of the semester and were less likely to miss assignments but otherwise showed no significant differences on the other course assignments; introductory sociology students part of these communities showed even greater differences in performance that lasted through the end of the semester. Conclusion: First-year students learning communities offers significant albeit limited benefits for student performance in introductory courses in the social sciences. Teaching Implications: Short of institutional efforts to enact programming for first-year learning communities, introductory psychology instructors can attempt to simulate the experience of such communities by promoting a sense of belonging via extra-curricular service or discipline-related activities.


2016 ◽  
Vol 1 (13) ◽  
pp. 122-129 ◽  
Author(s):  
Wendy Chase ◽  
Lucinda Soares Gonzales

This article will describe the approach to dysphagia education in a classroom setting at the University of Connecticut (UCONN), explore the disparity between student performance in schools vs. health care settings that was discovered at UCONN, and offer suggestions for practicum supervisors in medical settings to enhance student acquisition of competence.


1982 ◽  
Vol 27 (12) ◽  
pp. 964-965
Author(s):  
Robert M. Gagné
Keyword(s):  

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