NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jephcote, Calvin; Medland, Emma; Lygo-Baker, Simon – Assessment & Evaluation in Higher Education, 2021
The move from elite to mass systems of higher education has been accompanied by concerns relating to the quality of provision and standards, particularly in relation to the increasing proportion of higher grades awarded to students. Bayesian multilevel models were used to investigate the temporal trend of grade attainment in 101 higher education…
Descriptors: Grade Inflation, Grades (Scholastic), Academic Achievement, Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Roohr, Katrina; Olivera-Aguilar, Margarita; Ling, Guangming; Rikoon, Samuel – Assessment & Evaluation in Higher Education, 2019
Twenty-first century and higher-learning skills such as critical thinking are highly desired for new college graduates entering the workplace, especially with rapid changing technology and a more globalized economy. As a result, the importance of critical thinking development at higher education institutions has increased. The purpose of this…
Descriptors: Hierarchical Linear Modeling, College Students, Critical Thinking, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Zlatkin-Troitschanskaia, Olga; Schmidt, Susanne; Brückner, Sebastian; Förster, Manuel; Yamaoka, Michio; Asano, Tadayoshi – Assessment & Evaluation in Higher Education, 2016
Recent trends towards harmonising and internationalising business and economics studies in higher education are affecting the structure and content of programmes and courses, and necessitate more transparent and comparable information on students' economic knowledge and skills. In this study, we examine by linear multilevel regression modelling…
Descriptors: Foreign Countries, Economics Education, Macroeconomics, Knowledge Level
Peer reviewed Peer reviewed
Direct linkDirect link
Musekamp, Frank; Pearce, Jacob – Assessment & Evaluation in Higher Education, 2016
The goal of this paper is to examine the relationship of student motivation and achievement in low-stakes assessment contexts. Using Pearson product-moment correlations and hierarchical linear regression modelling to analyse data on 794 tertiary students who undertook a low-stakes engineering mechanics assessment (along with the questionnaire of…
Descriptors: Student Motivation, Academic Achievement, College Students, Engineering Education
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Hongli; Xiong, Yao; Zang, Xiaojiao; Kornhaber, Mindy L.; Lyu, Youngsun; Chung, Kyung Sun; Suen, Hoi K. – Assessment & Evaluation in Higher Education, 2016
Given the wide use of peer assessment, especially in higher education, the relative accuracy of peer ratings compared to teacher ratings is a major concern for both educators and researchers. This concern has grown with the increase of peer assessment in digital platforms. In this meta-analysis, using a variance-known hierarchical linear modelling…
Descriptors: Peer Evaluation, Comparative Analysis, Meta Analysis, Student Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Macfadyen, Leah P.; Dawson, Shane; Prest, Stewart; Gaševic, Dragan – Assessment & Evaluation in Higher Education, 2016
Student evaluation of teaching (SET) is now common practice across higher education, with the results used for both course improvement and quality assurance purposes. While much research has examined the validity of SETs for measuring teaching quality, few studies have investigated the factors that influence student participation in the SET…
Descriptors: Foreign Countries, Feedback (Response), Student Evaluation of Teacher Performance, Course Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Steedle, Jeffrey T. – Assessment & Evaluation in Higher Education, 2012
Value-added scores from tests of college learning indicate how score gains compare to those expected from students of similar entering academic ability. Unfortunately, the choice of value-added model can impact results, and this makes it difficult to determine which results to trust. The research presented here demonstrates how value-added models…
Descriptors: College Outcomes Assessment, Postsecondary Education, Achievement Tests, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Socha, Alan – Assessment & Evaluation in Higher Education, 2013
A teacher evaluation system can be threatening to faculty, especially if used for summative decisions. Therefore, it is important to obtain valid and pertinent information. Since students are extensively exposed to course elements, students' evaluation of instruction should be one of several components in the teacher evaluation system. Since…
Descriptors: Student Evaluation of Teacher Performance, Teacher Evaluation, Hierarchical Linear Modeling, Evaluation Methods