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Huapu Liu – ProQuest LLC, 2024
This two-part dissertation centers on a re-examination of the role of book indexes in information retrieval research on full-text digital book collections in digital libraries. Early research focused on information retrieval and book indexes (in addition to other parts of books) in the 2000s when the Google Books corpus was first released to the…
Descriptors: Information Retrieval, Indexes, Reference Materials, Semantics
Yoonjae Noh; YoonIl Yoon; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, failure to properly identify and filter customers' workout status adversely affects returns. This study proposes a two-stage classification algorithm for…
Descriptors: Prediction, Classification, Accuracy, Risk
Malte Ring; Taiga Brahm – Technology, Knowledge and Learning, 2024
More and more teachers create video explanations for their instruction. Whether or not they are effective for learning depends on the videos' instructional quality. Reliable measures to assess the quality of video explanations, however, are still rare, especially for videos created by (preservice) teachers. We developed such a measure in a…
Descriptors: Video Technology, Teaching Methods, Educational Quality, Measurement Techniques
Kalender Arikan – Journal of Baltic Science Education, 2025
Learning style (LS), either visual or verbal, has become debatable in the f ield of education vis-à-vis its relation to student success. However, it remains a valuable research theme for improving learning activities in the teaching of highly visual science fields, including biology, physics, and chemistry. Previous studies have primarily focused…
Descriptors: Cognitive Style, Biology, Retention (Psychology), Science Education
Sedat Sen; Allan S. Cohen – Educational and Psychological Measurement, 2024
A Monte Carlo simulation study was conducted to compare fit indices used for detecting the correct latent class in three dichotomous mixture item response theory (IRT) models. Ten indices were considered: Akaike's information criterion (AIC), the corrected AIC (AICc), Bayesian information criterion (BIC), consistent AIC (CAIC), Draper's…
Descriptors: Goodness of Fit, Item Response Theory, Sample Size, Classification
Jamiu Adekunle Idowu – International Journal of Artificial Intelligence in Education, 2024
This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…
Descriptors: Algorithms, Dropouts, Prediction, Academic Achievement
Jennifer A. Gonzales – Mathematics Teacher: Learning and Teaching PK-12, 2024
This article examines a school district's effort to create a unified culture of mathematical excellence through which everyone would know what high-quality instruction should look like and how they would shift their practices to those that aligned with their vision. This is accomplished through their Mathematics Teaching Practices Inventory…
Descriptors: Mathematics Teachers, Mathematics Instruction, Teaching Methods, Faculty Development
Susan L. Robertson – Journal of Curriculum Studies, 2024
In this paper, I argue a new politics of ordinal differentiation and its instruments for governing education aims to make invisible a 'low intensity civil war' against the labouring classes. It does this through the elevation and ubiquity of actuarial and quantitative measures aimed at producing a new form of differentiated belonging: that of…
Descriptors: Social Differences, Politics of Education, Citizenship, Personal Autonomy
Peter Pany; Florian D. Meier; Benno Dünser; Takuya Yanagida; Michael Kiehn; Andrea Möller – Journal of Biological Education, 2024
The term 'Plant Blindness' describes people tending to overlook plants, even though they have an enormous importance for life on earth, especially because of their ability to photosynthesise. Many attempts have been made to counteract plant blindness in biology education. However, so far there is no comprehensive tool to assess the degree of plant…
Descriptors: Plants (Botany), Botany, Science Education, Measurement Techniques