Publication Date
| In 2025 | 3 |
Descriptor
Author
| Benjamin M. Torsney | 1 |
| Boitumelo Benjamin Moreeng | 1 |
| Catherine Pressimone Beckowski | 1 |
| Cheryl B. Torsney | 1 |
| Hamid Mohammadi | 1 |
| Joseph I. Eisman | 1 |
| Mark J. Gierl | 1 |
| Pfuurai Chimbunde | 1 |
| Sarah Rawls | 1 |
| Tahereh Firoozi | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBenjamin M. Torsney; Sarah Rawls; Joseph I. Eisman; Catherine Pressimone Beckowski; Cheryl B. Torsney – Educational and Developmental Psychologist, 2025
Objective: The objective of this study was threefold: (a) to create a rubric for response complexity (RC), defined as an admixture of response length, grammatical diversity, categorisation, and sophistication; (b) to measure behavioural and cognitive engagement through students' written responses on a school-based written activity, and (c) to…
Descriptors: College Students, Learner Engagement, Responses, Difficulty Level
Pfuurai Chimbunde; Boitumelo Benjamin Moreeng – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite extensive research on the concerns with the use of ChatGPT that evolve around cheating, academic integrity, and plagiarism, very little is known on the assessment practices in school history, obscuring our understanding on how history teachers can assess students amid ChatGPT driven challenges. This conceptual paper discusses the…
Descriptors: History Instruction, Evaluation Methods, Student Evaluation, Artificial Intelligence
Tahereh Firoozi; Hamid Mohammadi; Mark J. Gierl – Journal of Educational Measurement, 2025
The purpose of this study is to describe and evaluate a multilingual automated essay scoring (AES) system for grading essays in three languages. Two different sentence embedding models were evaluated within the AES system, multilingual BERT (mBERT) and language-agnostic BERT sentence embedding (LaBSE). German, Italian, and Czech essays were…
Descriptors: College Students, Slavic Languages, German, Italian
