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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)
Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
Zehavit Kohen; Liron Schwartz-Aviad; Tomer Peleg – International Journal of Mathematical Education in Science and Technology, 2025
This study examines a Technology, Pedagogy, Content Knowledge (TPACK) training framework for pre- and in-service mathematics teachers that enables them to experience inquiry-based learning as learners in a dynamic geometry environment that serves as a mathematics laboratory. We investigate the effect of this experience on the teachers' TPACK,…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Teachers, Preservice Teachers
Sirazum Munira Tisha – ProQuest LLC, 2023
Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the…
Descriptors: Computer Software, Grading, Programming, Assignments
Jenny L. Richmond; Kate Nicholls – Teaching of Psychology, 2025
Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…
Descriptors: Artificial Intelligence, Scoring Rubrics, Computer Software, Learning Processes
Thomas Trendowski – Strategies: A Journal for Physical and Sport Educators, 2025
Generative artificial intelligence (GAI) is becoming more popular among educators with the recent advancements in tools such as ChatGPT and Dall-E. Although there are still questions around its efficacy, this type of technology can produce data or information based on prompts, which can be adapted for teachers' use. This article explores how this…
Descriptors: Physical Education, Team Sports, Curriculum Design, Physical Education Teachers
Daniel Holcombe – Hispania, 2025
Accompanying the recent rise in cautious popularity surrounding Generative Artificial Intelligence (Gen-AI), some language educators are exploring innovative linguistic interactions with Gen-AI. Seeking to add a literature approximation to such criticism, this article explores two activities that feature Gen-AI in undergraduate literature courses.…
Descriptors: Undergraduate Students, Artificial Intelligence, Computer Software, Cheating
Melanie Ann Weber; Mia Anzilotti; Reece Gormley; Christina Huber; Alyssa McGarvey; Grace McKee; Claire Ogden; Hannah Seinfeld; Julia Wank; Arnold Olszewski – Perspectives of the ASHA Special Interest Groups, 2024
Purpose: Technology, including educational applications (apps), is commonly used in schools by teachers and speech-language pathologists. Nonetheless, very little research has examined the efficacy of these apps for student learning or how to choose appropriate apps for instruction. Several previous rubrics to evaluate the instructional quality of…
Descriptors: Computer Software, Handheld Devices, Educational Technology, Technology Uses in Education
Fatih Yavuz; Özgür Çelik; Gamze Yavas Çelik – British Journal of Educational Technology, 2025
This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
Joy Robbins; Milena Marinkova – Practitioner Research in Higher Education, 2023
While studies have extolled the value of using online rubrics, the benefits have usually been presented in terms of enhancing marking or delivery of teacher feedback. These benefits are welcome, but they nonetheless couch digital as simply an improved way for "old paradigm" transmission approaches to feedback that do little to help…
Descriptors: Scoring Rubrics, Barriers, Feedback (Response), Information Literacy
Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
Mayo Beltrán, Alba Mª; Fernández Sánchez, María Jesús; Montanero Fernández, Manuel; Martín Parejo, David – Practical Assessment, Research & Evaluation, 2022
This study compares the effects of two resources, a paper rubric (CR) or the comment bubbles from a word processor (CCB), to support peer co-evaluation of expository texts in primary education. A total of 57 students wrote a text which, after a peer co-evaluation process, was rewritten. To analyze the improvements in the texts, we used a rubric…
Descriptors: Scoring Rubrics, Evaluation Methods, Word Processing, Computer Software
Gerd Kortemeyer; Julian Nöhl; Daria Onishchuk – Physical Review Physics Education Research, 2024
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Using a high-stakes thermodynamics exam as the sample (252 students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten student solutions. We find that the…
Descriptors: Grading, Physics, Science Instruction, Artificial Intelligence
Christopher H. Clark; Cathryn van Kessel – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Due to the introduction and rapid ubiquity of artificial intelligence (AI) and AI-integrated programs that can be used by students and teachers, educational scholarship evaluating the capabilities of AI is needed. This study evaluates the abilities of three prominent AI programs--ChatGPT, Microsoft's Bing, and Google's Bard--to create high school…
Descriptors: Social Studies, High School Teachers, Lesson Plans, Artificial Intelligence
Paquot, Magali; Rubin, Rachel; Vandeweerd, Nathan – Language Learning, 2022
The main objective of this Methods Showcase Article is to show how the technique of adaptive comparative judgment, coupled with a crowdsourcing approach, can offer practical solutions to reliability issues as well as to address the time and cost difficulties associated with a text-based approach to proficiency assessment in L2 research. We…
Descriptors: Comparative Analysis, Decision Making, Language Proficiency, Reliability