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Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar – Education and Information Technologies, 2024
In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…
Descriptors: Predictor Variables, Academic Achievement, Pass Fail Grading, Long Term Memory
Crystal Watkins Williams – ProQuest LLC, 2024
Access to pass/fail grading was liberalized for courses designed to be delivered in-person but moved online due to social distancing caused by the COVID-19 pandemic at many universities in the spring 2020 semester. There was little research to inform liberalizing access to pass/fail grading as a tool to support student performance and persistence…
Descriptors: Pass Fail Grading, Graduate Students, Student Characteristics, Academic Achievement
Mohammed, Nor Farizal; Kassim, Che Fatimah Che; Ismail, Puteh Mariam – Asian Journal of University Education, 2020
With the Malaysian government's aim to increase the number of Bumiputera professional accountants, it is important for institutions to search for efficient ways in delivering professional accounting education in order to improve the performance of students. Despite the suggestion from prior literature to adopt student-centered pedagogy, the issue…
Descriptors: Student Attitudes, Performance Factors, Accounting, Professional Education
Griffith, John C.; Faulconer, Emily K.; McMasters, Bobby L. – International Review of Research in Open and Distributed Learning, 2021
Faculty have conducted many studies on the relationship between learning mode and student performance but few researchers have evaluated final grades, grade distribution, and pass rates in a sophomore introductory statistics course with a non-traditional student population who self-selected the learning mode from among different course sections.…
Descriptors: Performance Factors, Correlation, Undergraduate Students, Nontraditional Students
Bruen, Jennifer; Kelly, Niamh; Loftus, Maria – Journal of Further and Higher Education, 2020
This paper explores the attitudes of undergraduate language learners and their lecturers towards the introduction of an attendance policy in an Irish Higher Education Institution. It also analyses the relationship between the introduction of this policy and student performance (average grade) and progression (pass rates). The policy was introduced…
Descriptors: Attendance, School Policy, Undergraduate Students, Second Language Learning
Pfannenstiel, AmberNicole; Redcay, Alex; Albert, Daniel – Open Praxis, 2020
Many Open Educational Resource (OER) and Zero Textbook Cost (ZTC) studies explore cost savings, impact on learning outcomes, and student perceptions of the materials. While OER/ZTC research reports positive student perceptions (Brandle et al., 2019), textbook research reports negative student perceptions of digital textbooks (Behnke, 2018). This…
Descriptors: Student Attitudes, Student Behavior, College Students, Public Colleges
Chen, Zhongzhou; Xu, Mengyu; Garrido, Geoffrey; Gunthrie, Matthew W. – Physical Review Physics Education Research, 2020
This study examines whether including more contextual information in data analysis could improve our ability to identify the relation between students' online learning behavior and overall performance in an introductory physics course. We created four linear regression models correlating students' pass-fail events in a sequence of online learning…
Descriptors: Correlation, Electronic Learning, Performance Factors, Learning Analytics
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Smith, Margaret A. – School Administrator, 2012
The author's community, which includes parents of the 62,000 students who attend schools in Volusia County, Florida, has been baffled over the conflicting nature of Florida's school grading system of A, B, C, D, F based on the Florida Comprehensive Assessment Test, and the federal system of pass or fail. While many of the 80 schools in her…
Descriptors: Grading, Elementary Secondary Education, Federal Legislation, Advocacy
Legg, David E. – ProQuest LLC, 2013
The purpose of this study was to explore the relationship between student performance on Reading Curriculum-based Measures (R-CBM) and student performance on the Alaska's standards based assessment (SBA) administered to students in Studied School District (SSD) Grade 3 through Grade 5 students in the Studied School District as required by…
Descriptors: Curriculum Based Assessment, Cutting Scores, Predictor Variables, Academic Achievement
Kadhi, T.; Holley, D.; Beard, J. – Online Submission, 2011
The following report of descriptive statistics addresses the matriculating class of 2001-2007 according to their Law School Admission Council (LSAC) index. Generally, this report will offer information on the first time bar and ultimate performance on the Bar Exam of TMSL students. In addition, graduating GPA according to the LSAC index will also…
Descriptors: Grade Point Average, Law Schools, College Admission, Law Students
Englert, Nadine Cozzo – ProQuest LLC, 2009
This retrospective study was conducted to examine the relationship between selected variables and performance on the National Council Licensure Examination for Registered Nurses (NCLEX-RN). Data were collected from one hundred twenty graduates of a baccalaureate program; graduates completed either the traditional four-year track or an accelerated…
Descriptors: Nurses, Licensing Examinations (Professions), Graduates, Neonates