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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
Walden, Patrick R. – Teaching and Learning in Communication Sciences & Disorders, 2022
This SoTL project explored sources of student anxiety and motivation across student assessment conditions of traditional numerical grading and pass/fail grading and sought to determine if pass/fail grading was helpful in lowering student anxiety while increasing student motivation to learn. Results indicated that students scored equally well on a…
Descriptors: Scholarship, Educational Research, Postsecondary Education as a Field of Study, Student Motivation
Forgey, Staci B.; Williams, Mitchell R.; Pribesh, Shana – Community College Enterprise, 2020
Gatekeeper courses such as Anatomy and Physiology are often referenced in discussions regarding the national shortage of persons in allied health professions. In an attempt to bolster access to STEM professions, some community colleges are mandating prerequisite courses such as Natural Sciences and/or General Biology for STEM gatekeeping courses.…
Descriptors: Anatomy, Physiology, Community Colleges, Prerequisites
Roberts, William L.; Boulet, John; Sandella, Jeanne – Advances in Health Sciences Education, 2017
When the safety of the public is at stake, it is particularly relevant for licensing and credentialing exam agencies to use defensible standard setting methods to categorize candidates into competence categories (e.g., pass/fail). The aim of this study was to gather evidence to support change to the Comprehensive Osteopathic Medical Licensing-USA…
Descriptors: Standard Setting, Comparative Analysis, Clinical Experience, Skill Analysis
Shulruf, Boaz; Booth, Roger; Baker, Heather; Bagg, Warwick; Barrow, Mark – Journal of Further and Higher Education, 2017
Decisions about progress through an academic programme are made by Boards of Examiners, on the basis of students' course assessments. For most students such pass/fail grading decisions are straightforward. However, for those students whose results are borderline (either at a pass/fail boundary or boundaries between grades) the exercise of some…
Descriptors: Medical Education, Decision Making, Student Promotion, Pass Fail Grading
Davis, Wanda – ProQuest LLC, 2013
The inclusion of college preparation programs promote and forecast academic success in postsecondary studies among individual at-risk, African American urban high school students. Past research has shown ongoing, college acceptance, performance, and graduation gaps between at-risk, African American urban high school students when compared to…
Descriptors: Program Effectiveness, Comparative Analysis, College Preparation, Urban Schools
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
Cruzan, Carla Dale – ProQuest LLC, 2010
In a time of growth in secondary education online programs, there have been few studies directed at understanding secondary online programs and the students they serve. That is particularly true for large, inner-city public school districts with a diverse student body. This is a mixed methods case study which identified that students' primary…
Descriptors: Causal Models, Case Studies, Online Courses, Predictor Variables