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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
Andrew R. Thompson – Advances in Physiology Education, 2024
The revised two-factor Study Process Questionnaire and the Approaches and Study Skills Inventory for Students are two instruments commonly used to measure student learning approach. Although they are designed to measure similar constructs, it is unclear whether the metrics they provide differ in terms of their real-world classification of learning…
Descriptors: Comparative Analysis, Anatomy, Classification, Cognitive Style
Ioannis G. Katsantonis – Metacognition and Learning, 2025
Classical conceptualisations of self-regulated learning typically ignore the role of teaching strategies in real-world classrooms. Therefore, the present exploratory study aimed to examine the different clusters of perceived teaching strategies and students' metacognitive knowledge and experiences, and motivation. The data came from 6365 (49.63%…
Descriptors: Classification, Teaching Methods, Reading Achievement, Metacognition
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing
Álava Sordo, Silvia; Cantero-García, María; Garrido-Hernansaiz, Helena; Sánchez-Iglesias, Iván; Santacreu Mas, José – Electronic Journal of Research in Educational Psychology, 2021
Introduction: The objective of this study is to find out if there are differences in selective and sustained attention between children with different subtypes of ADHD and children with learning disorders (LD), in order to improve the differential diagnosis between ADHD and PD and between the different subtypes of ADHD. Method: The sample…
Descriptors: Comparative Analysis, Attention Deficit Hyperactivity Disorder, Clinical Diagnosis, Learning Disabilities
Votke, Megan – ProQuest LLC, 2023
The purpose of the current research is to determine the effect of changing the English Language Art curriculum on the reading growth of fourth-grade students who attended a public school district located in a suburban community in the Northeastern part of the United States. This ex-post facto study is designed to evaluate the effectiveness of the…
Descriptors: English, Language Arts, Grade 4, Elementary School Students
Johnson, Angela – Educational Policy, 2023
This study reports achievement and growth from kindergarten to fourth grade for three groups of English Learners (ELs): (a) ever-ELs; (b) ELs consistently eligible for service; and (c) EL and Special Education dually-identified students. All three EL groups had lower test scores than never-ELs throughout K-4. In math, ELs grew more than never-ELs…
Descriptors: English Language Learners, Academic Achievement, Achievement Gains, Special Education
Uzun, Kutay – Contemporary Educational Technology, 2018
Managing crowded classes in terms of classroom assessment is a difficult task due to the amount of time which needs to be devoted to providing feedback to student products. In this respect, the present study aimed to develop an automated essay scoring environment as a potential means to overcome this problem. Secondarily, the study aimed to test…
Descriptors: Computer Assisted Testing, Essays, Scoring, English Literature
Çevik, Mustafa; Tabaru-Örnek, Gizem – International Online Journal of Education and Teaching, 2020
In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…
Descriptors: Comparative Analysis, Academic Achievement, Computer Software, Prediction
Khabbazbashi, Nahal; Galaczi, Evelina D. – Language Testing, 2020
This mixed methods study examined holistic, analytic, and part marking models (MMs) in terms of their measurement properties and impact on candidate CEFR classifications in a semi-direct online speaking test. Speaking performances of 240 candidates were first marked holistically and by part (phase 1). On the basis of phase 1 findings--which…
Descriptors: Holistic Approach, Classification, Grading, Language Tests
Petersen, Douglas B.; Tonn, Penny; Spencer, Trina D.; Foster, Matthew E. – Language, Speech, and Hearing Services in Schools, 2020
Purpose: Educators often use results from static norm-referenced vocabulary assessments to aid in the diagnosis of school-age children with a language disorder. However, research has indicated that many of these vocabulary assessments yield inaccurate, biased results, especially with culturally and linguistically diverse children. This study…
Descriptors: Classification, Language Impairments, Bilingualism, Spanish
D'Mello, Sidney K.; Southwell, Rosy; Gregg, Julie – Discourse Processes: A Multidisciplinary Journal, 2020
We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…
Descriptors: Discourse Analysis, Computer Software, Intervention, Computational Linguistics
Kodama-Dodge, Denise – ProQuest LLC, 2022
Purpose: The purpose of this quantitative, causal-comparative study was to determine whether English learners who participated in transitional kindergarten perform equally or better than English learners who did not participate in transitional kindergarten in the areas of oral language, written language, and overall language as measured by the…
Descriptors: Grade 1, Kindergarten, Language Proficiency, Oral Language
Cynthia E. Martin – ProQuest LLC, 2020
Statement of Purpose and Method of Study: Historically, Mississippi has lagged behind the rest of the nation in student achievement and funding for education. This comparative quantitative study investigated whether significant differences in student achievement as measured by mean composite ACT scores of high school juniors in Mississippi public…
Descriptors: High School Students, Scores, School Districts, Academic Achievement