Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 17 |
Since 2006 (last 20 years) | 27 |
Descriptor
College Students | 37 |
Data Collection | 37 |
Student Evaluation | 37 |
Data Analysis | 15 |
Higher Education | 15 |
Evaluation Methods | 12 |
Academic Achievement | 8 |
Feedback (Response) | 8 |
Foreign Countries | 8 |
Outcomes of Education | 8 |
Teaching Methods | 8 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Practitioners | 5 |
Teachers | 5 |
Administrators | 3 |
Location
Australia | 5 |
United Kingdom (England) | 3 |
Brazil | 2 |
California | 2 |
Germany | 2 |
Italy | 2 |
Pennsylvania | 2 |
Taiwan | 2 |
Turkey | 2 |
United Kingdom | 2 |
United States | 2 |
More ▼ |
Laws, Policies, & Programs
Every Student Succeeds Act… | 1 |
Assessments and Surveys
Program for International… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Natasha Arthars; Kate Thompson; Henk Huijser; Steven Kickbusch; Samuel Cunningham; Gavin Winter; Roger Cook; Lori Lockyer – Australasian Journal of Educational Technology, 2024
Assessing group work formatively in higher education poses a significant challenge. The complexity of evaluating individual contributions is compounded by the lack of efficient and effective methods for tracking, analysing and assessing individual engagement and contributions, which can impede timely feedback and the development of group work…
Descriptors: Formative Evaluation, Cooperative Learning, College Students, Student Evaluation
Matthew McGrievy – ProQuest LLC, 2024
The purpose of this descriptive research study was to evaluate the web-based practice experience tracking system at a school of public health (SPH) at a large southeastern university. Applied practice experiences (APEs) are a key component of public health education, and schools and programs of public health in the United States must provide…
Descriptors: College Faculty, College Students, Public Health, Health Education
Webb, Kevin C.; Zingaro, Daniel; Liao, Soohyun Nam; Taylor, Cynthia; Lee, Cynthia; Clancy, Michael; Porter, Leo – ACM Transactions on Computing Education, 2022
A Concept Inventory (CI) is an assessment to measure student conceptual understanding of a particular topic. This article presents the results of a CI for basic data structures (BDSI) that has been previously shown to have strong evidence for validity. The goal of this work is to help researchers or instructors who administer the BDSI in their own…
Descriptors: Measures (Individuals), Concept Formation, Computer Science Education, Test Results
Kai Li – International Association for Development of the Information Society, 2023
Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…
Descriptors: Student Evaluation, Online Courses, Electronic Learning, Computer Literacy
Cox, Bradley E.; Nachman, Brett Ranon – Journal of Postsecondary Education and Disability, 2020
This paper provides practical guidance for scholars and practitioners looking to develop more rigorous, comprehensive, and inclusive research that could guide proactive efforts to improve access, experiences, and outcomes for college students with disabilities. To do so, we (a) identify critical challenges affecting research and assessment related…
Descriptors: College Students, Students with Disabilities, Statistical Analysis, Student Evaluation
Edelstein, Jeffrey; Abbott, Jordan; Kimball, Ezekiel – Journal of Postsecondary Education and Disability, 2020
Disability-as-diagnosis, disability-as-identity, and disability-as-experience as pressing measurement issues in learning outcomes assessment are described in this paper. Disability represents a critically important latent variable in many learning outcomes assessment plans unless it is a formalized part of analytic plans. Noting the potential for…
Descriptors: Disabilities, Clinical Diagnosis, Identification (Psychology), Experience
Sandlin, Michele – College and University, 2019
This feature focuses on the five areas an institution needs to know before implementing holistic measures. These include: what does a holistic review entail, how to be legally complaint, Sedlacek's noncognitive variables, applying student success measures, and the vital importance of training.
Descriptors: Predictor Variables, Success, Holistic Approach, Compliance (Legal)
Grace, Christine Cooper – Journal on Excellence in College Teaching, 2018
This article advocates using Leventhal's (1980) justice judgment theory to incorporate distributive and procedural justice into summative assessment of student learning in higher education. It reviews important commonalities between the process of employee performance appraisal in organizations and practices to assess student learning in academe…
Descriptors: Justice, Summative Evaluation, Student Evaluation, College Students
Leary, Thomas D., IV. – ProQuest LLC, 2017
Institutions of higher education both value and need student assessment data. Faculty, as seen in numerous studies, however, have generally negatively received the formalization and reporting of student assessments to gather this assessment data. If we could better understand faculty experiences and perceptions of student assessment data within…
Descriptors: Student Evaluation, Phenomenology, Interviews, College Faculty
Scholes, Vanessa – Educational Technology Research and Development, 2016
There are good reasons for higher education institutions to use learning analytics to risk-screen students. Institutions can use learning analytics to better predict which students are at greater risk of dropping out or failing, and use the statistics to treat "risky" students differently. This paper analyses this practice using…
Descriptors: Data Collection, Data Analysis, Educational Research, At Risk Students
Watson, Cate; Wilson, Anna; Drew, Valerie; Thompson, Terrie Lynn – Assessment & Evaluation in Higher Education, 2017
In this paper, we present an in-depth case study of a single student who failed an online module which formed part of a master's programme in Professional Education and Leadership. We use this case study to examine assessment practices in higher education in the online environment. In taking this approach, we go against the current predilection…
Descriptors: Case Studies, College Students, Student Evaluation, Evaluation Methods
McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
Zimbardi, Kirsten; Colthorpe, Kay; Dekker, Andrew; Engstrom, Craig; Bugarcic, Andrea; Worthy, Peter; Victor, Ruban; Chunduri, Prasad; Lluka, Lesley; Long, Phil – Assessment & Evaluation in Higher Education, 2017
Feedback is known to have a large influence on student learning gains, and the emergence of online tools has greatly enhanced the opportunity for delivering timely, expressive, digital feedback and for investigating its learning impacts. However, to date there have been no large quantitative investigations of the feedback provided by large teams…
Descriptors: Student Evaluation, Feedback (Response), Academic Achievement, Achievement Gains
Logan, Jennifer L.; Quin~ones, Rosalynn; Sunderland, Deborah P. – Journal of Chemical Education, 2015
An assignment incorporating posters into a second-year analytical chemistry lab is described. Students work in groups and are assigned one of the application-themed weekly laboratories as a topic. Course data acquired for these weekly laboratories are compiled into spreadsheets that the poster group then analyzes to present in an on-campus poster…
Descriptors: Science Instruction, Assignments, Chemistry, Science Laboratories
Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education