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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)
Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
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
Preet Chandan Kaur; Leena Ragha – Education and Information Technologies, 2025
Video summarization is a method of deducing the content of video content for generating a summary in video format. The generated summary should have the significant segments of raw video. Recently, the content of video has been rapidly increasing, thus automatic video summarization is beneficial for individuals who want to keep time and learn more…
Descriptors: Semantics, Video Technology, Audio Equipment, Linguistic Input
Implementation of a Computerized Tool to Address Barriers to Academic Success among College Students
Amelia M. Arria; Christina E. Parisi; Brittany A. Bugbee; Kathryn B. Vincent – Journal of American College Health, 2025
Objective: Academic assistance professionals work with college students to address barriers to academic success, although few assessment tools exist. This feasibility study examined the results of implementing a computerized tool for academic assistance professionals to help students. The Measure of Obstacles to Succeeding Academically in College…
Descriptors: Academic Achievement, Barriers, Risk Assessment, Academic Support Services
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
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
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
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
Bryan R. Drost; Char Shryock – Phi Delta Kappan, 2025
Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Manuel T. Rein; Jeroen K. Vermunt; Kim De Roover; Leonie V. D. E. Vogelsmeier – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…
Descriptors: Measurement Techniques, Factor Analysis, Scores, Validity
Anitia Lubbe; Elma Marais; Donnavan Kruger – Education and Information Technologies, 2025
Amalgamating generative artificial intelligence (Gen AI), Bloom's taxonomy and critical thinking present a promising avenue to revolutionize assessment pedagogy and foster higher-order cognitive skills needed for learning autonomy in the domain of self-directed learning. Gen AI, a subset of artificial intelligence (AI), has emerged as a…
Descriptors: Critical Thinking, Computer Software, Learning Analytics, Intelligent Tutoring Systems
Aneng He; Wenwen Yuan; Adem Kiliçman – International Journal of Mathematical Education in Science and Technology, 2025
Since COVID-19, Dynamic Mathematics Software (DMS) has been more widely used in mathematics classes, and many studies have been published. These data, generated because of technological updates and the popularity of COVID-19, should be addressed. To examine comprehensively the effectiveness of DMS on K-12 students' mathematics learning, this…
Descriptors: Literature Reviews, Meta Analysis, Elementary Secondary Education, Mathematics Education
Ecological Momentary Assessment as a Delivery Service for Progress Monitoring Internalizing Concerns
Ishan N. Vengurlekar; Carly Oddleifson; Chelsea Salvatore; Stephen P. Kilgus; Evan H. Dart – Journal of Applied School Psychology, 2025
Progress monitoring data provide important information on student functioning in response to an intervention. Yet, there are several barriers to effective progress monitoring of internalizing symptoms among youth. To address these concerns, the current paper conceptualized the use of ecological momentary assessment (EMA) as a service delivery…
Descriptors: Middle School Students, Progress Monitoring, Student Improvement, Emotional Response
Eran Hadas; Arnon Hershkovitz – Journal of Learning Analytics, 2025
Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…
Descriptors: Creativity, Evaluation Methods, Computer Assisted Testing, Artificial Intelligence
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