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Direct linkRobson Gonçalves Fechine Feitosa; Gustavo Augusto Lima de Campos; Ismayle de Sousa Santos; Carlos Hairon Ribeiro Gonçalves; Antônio de Barros Serra; Alisson Romão de Oliveira; Pedro Lucas Pereira Feitosa; Yuri David Santos; Esdras Lins Bispo Jr.; Guilherme Álvaro Rodrigues Maia Esmeraldo – International Journal of Artificial Intelligence in Education, 2025
Many existing solutions for the automatic assessment of open-ended questions predominantly rely on machine learning models, primarily focusing on aspects such as writing style and assigning a final score. However, these solutions often overlook the crucial factor of feedback content relevance, specifically, how well the response aligns with the…
Descriptors: Competency Based Education, Skill Development, Artificial Intelligence, Feedback (Response)
Chen Zhan; Srecko Joksimovic; Djazia Ladjal; Thierry Rakotoarivelo; Ruth Marshall; Abelardo Pardo – IEEE Transactions on Learning Technologies, 2024
Data are fundamental to Learning Analytics (LA) research and practice. However, the ethical use of data, particularly in terms of respecting learners' privacy rights, is a potential barrier that could hinder the widespread adoption of LA in the education industry. Despite the policies and guidelines of privacy protection being available worldwide,…
Descriptors: Privacy, Learning Analytics, Ethics, Data Use
Download full textSakkumpa Inchuen; Nopmanee Meethong; Numpong Janto; Nirada Wechayaluck – Journal of Education and Learning, 2024
The purpose of this research is twofold: 1) to study the application of the design thinking process in school administration under the Secondary Educational Service Area Office, Phitsanulok, Uttaradit, and 2) to explore the implementation of design thinking process in school administration of school administrators under the Secondary Educational…
Descriptors: Foreign Countries, School Administration, Design, Secondary Education
Michael T. Kalkbrenner – Measurement and Evaluation in Counseling and Development, 2024
The purpose of this instructional piece was to provide a nontechnical synthesis of common internal consistency reliability estimates used in professional counseling and in related fields. The article begins with an overview of coefficients alpha, omega, omega hierarchical, and H, with guidelines for their selection. Next, I provide recommendations…
Descriptors: Reliability, Counseling, Cutting Scores, High Stakes Tests
Al-Hoorie, Ali H.; Hiver, Phil; Larsen-Freeman, Diane; Lowie, Wander – Language Teaching, 2023
In contemporary methodological thinking, replication holds a central place. However, relatively little attention has been paid to replication in the context of complex dynamic systems theory (CDST), perhaps due to uncertainty regarding the epistemology-methodology match between these domains. In this paper, we explore the place of replication in…
Descriptors: Systems Approach, Epistemology, Applied Linguistics, Language Research
Kristi L. Morin; Esther R. Lindström; Thomas R. Kratochwill; Joel R. Levin; Alyssa Blasko; Amanda Weir; Christiana M. Nielsen-Pheiffer; Samantha Kelly; Davit Janunts; Ee Rea Hong – Exceptional Children, 2024
Although quality guidelines for single-case intervention research emphasize the importance of concurrent baselines in multiple-baseline and multiple-probe designs, nonconcurrent variations on these designs persist in the research literature. This study describes a systematic review of special education intervention studies (k = 406) between 1988…
Descriptors: Special Education, Educational Quality, Guidelines, Intervention
Leifeng Xiao; Kit-Tai Hau; Melissa Dan Wang – Educational Measurement: Issues and Practice, 2024
Short scales are time-efficient for participants and cost-effective in research. However, researchers often mistakenly expect short scales to have the same reliability as long ones without considering the effect of scale length. We argue that applying a universal benchmark for alpha is problematic as the impact of low-quality items is greater on…
Descriptors: Measurement, Benchmarking, Item Sampling, Sample Size
Gerhard Tutz; Pascal Jordan – Journal of Educational and Behavioral Statistics, 2024
A general framework of latent trait item response models for continuous responses is given. In contrast to classical test theory (CTT) models, which traditionally distinguish between true scores and error scores, the responses are clearly linked to latent traits. It is shown that CTT models can be derived as special cases, but the model class is…
Descriptors: Item Response Theory, Responses, Scores, Models
Yvonne M. Fromm; Florence Martin; Tuba Gezer; Dirk Ifenthaler – Technology, Knowledge and Learning, 2025
Systematic reviews have been gaining attention as a research methodology and are among the most frequently cited sources in educational sciences. However, best practices for conducting systematic reviews in educational sciences are still evolving. We conducted N = 12 qualitative interviews to learn from experienced systematic review researchers…
Descriptors: Best Practices, Literature Reviews, Educational Research, Educational Researchers
Jegan, Roshni; Dierickx, Kris – Advances in Health Sciences Education, 2023
Background: It has been widely recognized that ethics is central to the practice of medicine. Since physicians' identities are heavily influenced by their basic medical training, education in ethics during this period would facilitate their professional development. To enable this, some global and national organizations have published guidelines…
Descriptors: Ethics, National Standards, Guidelines, Medical Education
Vassa Grichko; Betsy Schamber; Kari Termansen; David Barker; Shanice Hall; David Swank; Erin Lehmann – Impacting Education: Journal on Transforming Professional Practice, 2025
Universal guidelines for AI's use in the context of higher education remains unestablished. Despite this, doctoral students utilized AI to help in forming research ideas and with editing manuscripts. Thereby, the socialization of doctoral students into ethical AI use became imperative. This action research study had faculty and EdD students test…
Descriptors: Artificial Intelligence, Ethics, Guidelines, Doctoral Dissertations
Saeed Salimpour; Michael T. Fitzgerald – Science & Education, 2024
Modern astronomy as a field of inquiry may be shaped by what we consider the "scientific" ways of knowing. However, the history of astronomy as a human endeavour dates back millennia before the "modern" notions of "science". This long history means that astronomy is, at its core, built on a rich cultural diversity and…
Descriptors: Astronomy, Science Instruction, Teaching Methods, Semiotics
Elvis Ortega-Ochoa; Marta Arguedas; Thanasis Daradoumis – British Journal of Educational Technology, 2024
Artificial intelligence (AI) and natural language processing technologies have fuelled the growth of Pedagogical Conversational Agents (PCAs) with empathic conversational capabilities. However, no systematic literature review has explored the intersection between conversational agents, education and emotion. Therefore, this study aimed to outline…
Descriptors: Empathy, Artificial Intelligence, Databases, Dialogs (Language)
Heather C. Hill; Kathleen Lynch; Joshua R. Polanin – Annenberg Institute for School Reform at Brown University, 2024
Inconsistent reporting of critical facets of classroom interventions and their related impact evaluations hinders the field's ability to describe and synthesize the existing evidence base. In this essay, we present a set of reporting guidelines intended to steer authors of classroom intervention studies toward providing more systematic reporting…
Descriptors: Disclosure, Guidelines, Intervention, Educational Research
Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2025
This study aims to estimate the latent interaction effect in the CLPM model through a two-step multiple imputation analysis. The estimation of within x within and between x within latent interaction under the CLPM model framework is compared between the one-step Bayesian LMS method and the two-step multiple imputation analysis through a simulation…
Descriptors: Guidelines, Bayesian Statistics, Self Esteem, Depression (Psychology)
