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Showing 1 to 15 of 56 results Save | Export
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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)
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)
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Hao, Qiang; Smith, David H., IV; Ding, Lu; Ko, Amy; Ottaway, Camille; Wilson, Jack; Arakawa, Kai H.; Turcan, Alistair; Poehlman, Timothy; Greer, Tyler – Computer Science Education, 2022
Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…
Descriptors: Computer Science Education, Feedback (Response), Teaching Methods, Comparative Analysis
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Yu, Eunjyu – Journal of Educators Online, 2023
Artificial intelligence (AI) is increasingly being used as a cost-effective assistant to human instructors to generate performance feedback for online learners. This study found that AI-generated feedback had a positive impact on students' writing practice in an online learning space. Underperforming students stated that they wanted AI to further…
Descriptors: Artificial Intelligence, Feedback (Response), Electronic Learning, Cognitive Style
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Himel Mondal; Juhu Kiran Krushna Karri; Swaminathan Ramasubramanian; Shaikat Mondal; Ayesha Juhi; Pratima Gupta – Advances in Physiology Education, 2025
Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…
Descriptors: Computational Linguistics, Physiology, Teaching Methods, Artificial Intelligence
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Zhang, Limin; Chen, Fang; Wei, Wei – Journal of Information Systems Education, 2020
The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or…
Descriptors: Teaching Methods, Data Analysis, Business Administration Education, Computer Software
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Jalin Huang; Elizabeth Boling; Yichuan Yan – International Journal of Designs for Learning, 2021
This design case chronicles a photography assignment starting with its origins in the master's level lab of a communications design program in Taiwan's National Yunlin University of Science and Technology, directed by Jalin Huang. We follow this assignment through its adaptation for a basic media development course taught by Professor Elizabeth…
Descriptors: Photography, Assignments, Masters Programs, Graduate Students
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Hwang, Wu-Yuin; Nurtantyana, Rio; Purba, Siska Wati Dewi; Hariyanti, Uun; Indrihapsari, Yuniar; Surjono, Herman Dwi – Journal of Educational Computing Research, 2023
English as Foreign Language (EFL) writing is challenging for students due to the lack of related lexical resources to inspire them for meaningful writing besides grammar feedback. Moreover, it is crucial to design personalized feedback based on students' original writings in helping to improve their writing abilities. Therefore, we developed Smart…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, English (Second Language)
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Johnson, William F.; Stellmack, Mark A.; Barthel, Abigail L. – Teaching of Psychology, 2019
Electronic feedback given via word-processing software (e.g., track changes in Microsoft Word) allows for a simple way to provide feedback to students during the drafting process. Research has mostly focused on student attitudes toward electronic feedback, with little investigation of how feedback format might affect the quality of instructor…
Descriptors: Feedback (Response), Writing Evaluation, Writing Assignments, Educational Technology
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Mittal, Sarah – Marketing Education Review, 2019
This innovation proposes an alternative to the traditional exam/test model. Many faculty members have likely struggled with the need to objectively assess their students and the push back they get from students in administering such assessments. The current article outlines a win-win solution that allows professors to objectively assess student…
Descriptors: Tests, Grading, Educational Innovation, College Faculty
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Moonma, Jitlada – English Language Teaching, 2021
The closure of educational institutions across Thailand, as well as the maintenance of social distancing as a preventive and precautionary step against COVID-19, has thrown a wrench in the traditional method of teaching, which has given way to online learning. As a result, most online learning is managed through a learning management system, the…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Ozogul, Gamze; Zhu, Meina; Phillips, Tanner M. – Online Learning, 2022
Online instructional design and how to engage students cognitively in online asynchronous courses have been an ongoing question. This case study presents an intentional design of an asynchronous online graduate course to foster cognitive presence. The research questions investigate students' cognitive presence (CP) captured by two measures:…
Descriptors: Group Discussion, Computer Mediated Communication, Predictor Variables, Instructional Design
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Woods, David M. – Information Systems Education Journal, 2018
Cloud computing is a rapidly emerging topic, but should it be included in an introductory IT course? The magnitude of cloud computing use, especially cloud infrastructure, along with students' limited knowledge of the topic support adding cloud content to the IT curriculum. There are several arguments that support including cloud computing in an…
Descriptors: Introductory Courses, Internet, Computer Science Education, Computer Software
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Orlando, Joanne; Hanham, Jose; Ullman, Jacqueline – Australasian Journal of Educational Technology, 2018
Current pedagogical practices have seen the rapid spread of technological tools that carry out tasks on behalf of the learner; we use the term "technological proxy" to refer to these tools. A popular technological proxy used by students worldwide is a text-matching software called Turnitin. Turnitin alerts users to sections of an…
Descriptors: Academic Discourse, Self Efficacy, Goal Orientation, Feedback (Response)
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Diefes-Dux, Heidi A. – European Journal of Engineering Education, 2019
Standards-based grading (SBG) tightly links student assessment to course learning objectives, providing students with meaningful feedback. A well-designed SBG system should ease first-year engineering (FYE) students' transition to tertiary education by setting clear expectations and enabling self-monitoring of learning progress. However, when…
Descriptors: Standards, Grading, Feedback (Response), Course Objectives
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