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Jonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
Wahyu Nanda Eka Saputra; Trikinasih Handayani; Prima Suci Rohmadheny; Rohmatus Naini; Dody Hartanto; Hardi Santosa; Dewi Afra Khairunnisa; Risma Risansyah; Hanan Riati; Faturrahman – Journal of Education and Learning (EduLearn), 2025
The students are urged to do something without expecting anything in return and only in the name of God. Every islamic student becomes something ideal if they can internalize and implement sincerity. Many people are willing to do something because of an ulterior motive. The importance of sincerity in humans is the background for developing a…
Descriptors: Islam, Interrater Reliability, Prosocial Behavior, Muslims
Shasha Chen; Shaohui Chi; Zuhao Wang – Journal of Baltic Science Education, 2025
Interdisciplinary thinking is critical for equipping students to apply scientific knowledge and tackle societal challenges across various disciplines, which has been recognized as a key objective of twenty-first century science education. However, research on effective interdisciplinary assessment in secondary school science education is still…
Descriptors: Thinking Skills, Interdisciplinary Approach, Science Instruction, Grade 7
Danielle E. Maurici-Pollock; Rebecca Stallworth; Sasha Khan – College & Research Libraries, 2025
First-generation students (FGS) are a population that has received increasing attention, but the term "first-generation student" has been inconsistently defined. Such inconsistency creates challenges not only for research, but for students themselves, many of whom may find they meet the FGS definition in one institutional context, but…
Descriptors: First Generation College Students, Definitions, Web Sites, Colleges
Anthony S. Bryk; Angel Yee-Lam Li; Stuart Luppescu; Mai Anh Bui – Peabody Journal of Education, 2025
This is the second article in a series of three in this special issue on establishing a boundary object to foster network health and development. The first article laid out the theoretical rationale for an Improvement Network Health and Development Framework. This article details the efforts to develop a set of practical measures tied to this…
Descriptors: Validity, Networks, Measurement Techniques, Reliability
Todd Grindal; Sarah Nixon Gerard; Anne Partika; Nancy Perez; Gullnar Syed; Morgan Solender; Anna Mark – SRI Education, a Division of SRI International, 2025
Accurate, reliable, and scalable measurement of classroom quality represent a critical tool for ensuring that young children benefit from early learning programs. The Early Childhood Classroom Observation (ECCO) study was designed to better understand how video recordings can support high-quality measurement of pre-kindergarten (pre-K) classrooms,…
Descriptors: Classroom Observation Techniques, Video Technology, Preschool Education, Reliability
Ting Ma; Lawrence Jun Zhang; Judy M. Parr – Language Awareness, 2025
Studies have shown that raising L2 learners' metaphor awareness contributes to the acquisition of figurative language, which fosters students' development of language skills. However, the instruments measuring metaphor awareness, in the majority of relevant research, did not seem to have undergone proper methodological procedures for checking…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Figurative Language
Mirjam Sophia Glessmer; Rachel Forsyth – Teaching & Learning Inquiry, 2025
Generative AI tools (GenAI) are increasingly used for academic tasks, including qualitative data analysis for the Scholarship of Teaching and Learning (SoTL). In our practice as academic developers, we are frequently asked for advice on whether this use for GenAI is reliable, valid, and ethical. Since this is a new field, we have not been able to…
Descriptors: Artificial Intelligence, Research Methodology, Data Analysis, Scholarship
Alberto Gandolfi – International Journal of Artificial Intelligence in Education, 2025
In this paper, we initially investigate the capabilities of GPT-3 5 and GPT-4 in solving college-level calculus problems, an essential segment of mathematics that remains under-explored so far. Although improving upon earlier versions, GPT-4 attains approximately 65% accuracy for standard problems and decreases to 20% for competition-like…
Descriptors: Artificial Intelligence, Reliability, Problem Solving, Mathematics Skills
Chia-Lin Tsai; Stefanie Wind; Samantha Estrada – Measurement: Interdisciplinary Research and Perspectives, 2025
Researchers who work with ordinal rating scales sometimes encounter situations where the scale categories do not function in the intended or expected way. For example, participants' use of scale categories may result in an empirical difficulty ordering for the categories that does not match what was intended. Likewise, the level of distinction…
Descriptors: Rating Scales, Item Response Theory, Psychometrics, Self Efficacy
Jonathan Arthur Schmidt; Gisa Aschersleben; Anne Henning – International Journal of Behavioral Development, 2025
In this longitudinal study, we investigated the factor structure and stability of early-life temperament in a German sample, using three measures developed within Rothbart's psychobiological approach. Temperament was measured using the Infant Behavior Questionnaire Revised (IBQ-R) at the ages of 6 and 12 months, the Early Childhood Behavior…
Descriptors: Foreign Countries, Personality, Personality Measures, Infants
Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
Ngoc My Bui; Jessie S. Barrot – Education and Information Technologies, 2025
With the generative artificial intelligence (AI) tool's remarkable capabilities in understanding and generating meaningful content, intriguing questions have been raised about its potential as an automated essay scoring (AES) system. One such tool is ChatGPT, which is capable of scoring any written work based on predefined criteria. However,…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Hua Yuan; Yunmei Wu; Hui Tao; Jun Yin; Ying Fang; Junjie Zhang; Yun Zhang – International Journal of Technology and Design Education, 2025
This paper introduces a framework aimed at assessing the sustainability of fashion designers, intending to evaluate their proficiency in sustainability and enhance higher education in design. To establish a system for assessing and evaluating sustainable design competence, we initiated interviews with both designers and fashion design students.…
Descriptors: Clothing, Design, Sustainability, Reliability
Kong Chen; April C. Tallant; Ian Selig – Information and Learning Sciences, 2025
Purpose: Current knowledge and research on students' utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students' engagement with these tools. Design/methodology/approach: This research used survey-based research to investigate generative AI literacy…
Descriptors: Artificial Intelligence, Higher Education, College Students, Technology Integration