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Hagit Meishar-Tal – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper critically analyzes the potential impact of ChatGPT, a creative artificial intelligence tool, on learning and teaching, focusing on its impact on using writing assignments as a means of assessing knowledge. The paper examines the challenges this tool presents to learners and teachers in various aspects, including writing as a means of…
Descriptors: Artificial Intelligence, Educational Technology, Barriers, Writing (Composition)
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
Ignacio Máñez; Anastasiya A. Lipnevich; Carolina Lopera-Oquendo; Raquel Cerdán – Educational Assessment, Evaluation and Accountability, 2024
Assessing student writing assignments and providing effective feedback are a complex pedagogical skill teacher candidates need to master. Scarce literature has closely examined the type of feedback that pre-service high-school teachers spontaneously deliver when assessing student writings, which is the main goal of our study. In a sample of 255…
Descriptors: Preservice Teachers, Feedback (Response), Writing Assignments, Student Evaluation
Gina C. Pieters – Journal of Economic Education, 2024
Used correctly, assessments play a vital role in the success of a course: they provide valuable feedback to students regarding their knowledge gaps, encourage deeper understanding of the material, help students to develop critical thinking, and guide students to accomplish a course's learning goals. They also provide a signal to future employers,…
Descriptors: Economics Education, Student Evaluation, Evaluation Methods, Grading
Catherine Nickerson; Peter Davidson – Business and Professional Communication Quarterly, 2024
In this discussion, we consider how the use of scenario-based assessment (SBA) can provide students with a way of developing the digital communication skills that business communication research has found they will need for the workplace, alongside other aspects of professional competence. This is because SBA can be employed to engage learners in…
Descriptors: Vignettes, Student Evaluation, Digital Literacy, Skill Development
David DiSabito; Lisa Hansen; Thomas Mennella; Josephine Rodriguez – New Directions for Teaching and Learning, 2025
This chapter investigates the integration of generative AI (GenAI), specifically ChatGPT, into institutional and course-level assessment at Western New England University. It explores the potential of GenAI to streamline the assessment process, making it more efficient, equitable, and objective. Through the development of a proprietary GenAI tool,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Educational Assessment
Chukwudi Ikwueze – Educational Research Quarterly, 2024
The U.S. Department of Education advocates strongly using assessment of student learning as a means of maintaining high standards of education. Instructors use mostly multiple choice and discussion questions as assessment tools. The aim of this study was to evaluate the effectiveness of multiple-choice and discussion questions and participant…
Descriptors: Economics Education, Introductory Courses, Multiple Choice Tests, Student Evaluation
Dirk H. R. Spennemann; Jessica Biles; Lachlan Brown; Matthew F. Ireland; Laura Longmore; Clare L. Singh; Anthony Wallis; Catherine Ward – Interactive Technology and Smart Education, 2024
Purpose: The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cheating
Catherine A. Cherrstrom; Carrie J. Boden; Todd Sherron – Journal of Continuing Higher Education, 2024
This study examined nontraditional students using linguistic inquiry and word count (LIWC) of their reflective writing assignments. Participants included 364 adult students enrolled in a degree completion program. Data comprised a multiweek reflective writing assignment and demographic data, linguistically and statistically analyzed. The study…
Descriptors: Nontraditional Students, Credits, Prior Learning, Logical Thinking
Traci C. Eshelman – Turkish Online Journal of Educational Technology - TOJET, 2024
The purpose of this multiple intrinsic case study was to describe how Northeastern United States middle school teachers and students engaged with a new automated writing evaluation tool used to score and provide feedback on extended essay assignments to improve teaching and learning writing. Richard Elmore's (1993) instructional core framework is…
Descriptors: High School Teachers, Learner Engagement, Automation, Writing Evaluation