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Zhengjun Li; Huayang Kang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The rapid development of higher education in China has significantly advanced physical education within universities, contributing to students' comprehensive development and national health improvement. However, the expansion of university enrollment has introduced challenges such as a decrease in per capita sports resources and declines in…
Descriptors: Physical Education Teachers, Teacher Effectiveness, Physical Education, Evaluation Methods
Rui Wang; Haili Ling; Jie Chen; Huijuan Fu – International Journal of Distance Education Technologies, 2025
This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the…
Descriptors: Educational Improvement, Student Needs, Computer Science Education, Foreign Countries
Suleyman Alpaslan Sulak; Nigmet Koklu – European Journal of Education, 2024
This study employs advanced data mining techniques to investigate the DASS-42 questionnaire, a widely used psychological assessment tool. Administered to 680 students at Necmettin Erbakan University's Ahmet Kelesoglu Faculty of Education, the DASS-42 comprises three distinct subscales--depression, anxiety and stress--each consisting of 14 items.…
Descriptors: Foreign Countries, Algorithms, Information Retrieval, Data Analysis
Leen Adel Gammoh – Education and Information Technologies, 2025
This qualitative study examines the risks educators in Jordan face with the integration of ChatGPT, an emerging AI technology, into academic settings. While considerable attention has been given to risks affecting university students, there remains a gap in understanding the specific challenges encountered by educators themselves. Through…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Integration
Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
Nopparat Klayklueng; Pinanta Chatwattana – International Education Studies, 2025
The architecture of the service platform via AI chatbots is a research tool which was fabricated to specifically promote digital competency through the use of AI chatbots. The architecture of the service platform herein was initiated by the application of artificial intelligence technology integrated with chatbot technology to create the user…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Management Systems
Yang Yang – Shanlax International Journal of Education, 2024
This paper explores the reliability of using ChatGPT in evaluating EFL writing by assessing its intra- and inter-rater reliability. Eighty-two compositions were randomly sampled from the Written English Corpus of Chinese Learners. These compositions were rated by three experienced raters with regard to 'language', 'content', and 'organization'.…
Descriptors: English (Second Language), Second Language Instruction, Writing (Composition), Evaluation Methods
Timos Almpanis; Dom Conroy; Paul Joseph-Richard – Electronic Journal of e-Learning, 2025
The advent of Generative AI (GAI) tools such as ChatGPT, Google Gemini, and Microsoft Copilot has significantly impacted higher education. This exploratory study investigates the current perspectives of lecturers in Human Resource Management (HRM) and Psychology on adapting assessment strategies in response to GAI developments. Through an online…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, College Faculty
Hyemin Yoon; HyunJin Kim; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operate the customer grade system provide similar services based on the score calculation criteria, but the score calculation criteria vary from the financial…
Descriptors: Classification, Artificial Intelligence, Prediction, Decision Making
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Mastrothanasis, Konstantinos; Zervoudakis, Konstantinos; Kladaki, Maria; Tsafarakis, Stelios – Education and Information Technologies, 2023
Theatrical performance constitutes a complicated way for students to express and to communicate with each other, since it targets both various artistic and educational goals. Even though it constitutes a top moment of students' expression, several students do not feel comfortable when participating in such cultural activities, as performance…
Descriptors: Anxiety, Public Speaking, Evaluation Methods, Artificial Intelligence
Jiseung Yoo; Jisun Park; Minsu Ha; Chelcea Mae Lagmay Darang – SAGE Open, 2024
In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the…
Descriptors: Preservice Teachers, Cognitive Processes, Automation, Supervision
Yavuz, Mehmet; Kayali, Bünyami; Balat, Sener; Çalisan, Mücahit – Journal of Educational Technology, 2023
The aim of this study is to adapt the 15-item Chatbot Usability Scale to the Turkish language and culture and evaluate the validity and reliability of the scale in the Turkish language and culture after the adaptation process. The necessary permissions were obtained, and the process was initiated. Proficient translators in both cultures were…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Usability, Evaluation Methods
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
Thinley Wangdi; Karma Sonam Rigdel; Tashi Dawa; Kinga Tshering – Issues in Educational Research, 2025
In the last two years, there has been a significant increase in research studies on ChatGPT and its role in educational assessment. However, there is no comprehensive systematic literature review (SLR) on the potential use of ChatGPT for educational assessment, particularly with a focus on its practices and limitations. To address this gap, our…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation Methods