NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 202518
Since 2022 (last 5 years)68
Since 2017 (last 10 years)163
Since 2007 (last 20 years)446
Showing 1 to 15 of 446 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Ernesto Panadero; Alazne Fernández Ortube; Rebecca Krebs; Julian Roelle – Assessment & Evaluation in Higher Education, 2025
Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…
Descriptors: Scoring Rubrics, Teaching Methods, Learning Processes, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Dmytro Babik; Edward Gehringer; Jennifer Kidd; Kristine Sunday; David Tinapple; Steven Gilbert – Educational Technology Research and Development, 2024
Over the past two decades, there has been an explosion of innovation in software tools that encapsulate and expand the capabilities of the widely used student peer assessment. While the affordances and pedagogical impacts of traditional in-person, "paper-and-pencil" peer assessment have been studied extensively and are relatively well…
Descriptors: Peer Evaluation, Computer Software, Internet, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Carolyn Fitzpatrick – Journal of Faculty Development, 2025
In the rapidly evolving landscape of higher education, the clarity, measurability, and alignment of course objectives are more critical than ever. Effective course design hinges on well-defined learning objectives that guide both instruction and assessment. However, creating these objectives can be a daunting task for faculty, especially when…
Descriptors: Educational Change, Educational Objectives, Higher Education, Alignment (Education)
Peer reviewed Peer reviewed
Direct linkDirect link
Ahmad D. Suleiman; Daqing Hou; Yu Liu; Jan DeWaters; David C. Shepherd; Juliana G. De Souza – ACM Transactions on Computing Education, 2025
In recent years, there has been a rise in recognition of the need for computing education to bridge the gap between academia and industry. In addition, educational researchers are also interested in increasing student engagement by grounding learning experiences in real-life concerns, community issues, or personal interests. Unfortunately,…
Descriptors: Computer Science Education, Higher Education, Active Learning, Student Projects
Peer reviewed Peer reviewed
Direct linkDirect link
Wendy Swenson Roth – Journal of Education for Business, 2024
Spreadsheets help businesses run effectively and efficiently. However, many spreadsheets contain errors. Research provides taxonomies and guidance on preventing spreadsheet errors; this information often is not incorporated into training. Training students to use Excel functions and good spreadsheet practices is critical. This instructional…
Descriptors: Spreadsheets, Business Skills, Error Patterns, Business Administration Education
Peer reviewed Peer reviewed
Direct linkDirect link
Thuy Thi-Nhu Ngo; Howard Hao-Jan Chen; Kyle Kuo-Wei Lai – Interactive Learning Environments, 2024
The present study performs a three-level meta-analysis to investigate the overall effectiveness of automated writing evaluation (AWE) on EFL/ESL student writing performance. 24 primary studies representing 85 between-group effect sizes and 34 studies representing 178 within-group effect sizes found from 1993 to 2021 were separately meta-analyzed.…
Descriptors: Writing Evaluation, Automation, Computer Software, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Amelie Vanhove; Evelien Opdecam; Sarah Mestdagh; Leen Haerens – European Journal of Education, 2024
To date, no widely used, scientifically validated instruments designed for assessing secondary education students' teamwork skills exist. As CATME-B shows promising results and might suit secondary education's needs best, this study offers an initial investigation on (1) how students and teachers perceive the use of CATME-B in secondary education…
Descriptors: Secondary School Students, Cooperative Learning, Teamwork, Assignments
Peer reviewed Peer reviewed
Direct linkDirect link
Derwin Suhartono; Muhammad Rizki Nur Majiid; Renaldy Fredyan – Education and Information Technologies, 2024
Exam evaluations are essential to assessing students' knowledge and progress in a subject or course. To meet learning objectives and assess student performance, questions must be themed. Automatic Question Generation (AQG) is our novel approach to this problem. A comprehensive process for autonomously generating Bahasa Indonesia text questions is…
Descriptors: Foreign Countries, Computational Linguistics, Computer Software, Questioning Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle McNamara – International Educational Data Mining Society, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Teresa; Hsu, Hui-Mei; Stamm, Sheila Wright; Yeh, Ronnie – E-Learning and Digital Media, 2019
The purpose of this study was to identify salient features for a critical thinking app and create an instrument to facilitate the app evaluation and selection process. Two questions guided the study: (1) What distinguishes critical thinking instructional apps from others? and (2) What design principles are essential to develop a critical thinking…
Descriptors: College Students, Student Evaluation, Evaluation Methods, Critical Thinking
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Kimbell, Richard – International Journal of Technology and Design Education, 2022
Conventional approaches to assessment involve teachers and examiners judging the quality of learners work by reference to lists of criteria or other 'outcome' statements. This paper explores a quite different method of assessment using 'Adaptive Comparative Judgement' (ACJ) that was developed within a research project at Goldsmiths University of…
Descriptors: Student Evaluation, Evaluation Methods, Alternative Assessment, Value Judgment
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  30