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Kye, Anna – ProQuest LLC, 2023
Every year, the national high school graduation rate is declining and impacting the number of students applying to colleges. Moreover, the majority of students are applying to more than one college. This makes a lot of colleges to be highly competitive in student recruitment for enrollment and thus, the necessity for institutions to anticipate…
Descriptors: Comparative Analysis, Classification, College Enrollment, Prediction
Jang, Yoona; Hong, Sehee – Educational and Psychological Measurement, 2023
The purpose of this study was to evaluate the degree of classification quality in the basic latent class model when covariates are either included or are not included in the model. To accomplish this task, Monte Carlo simulations were conducted in which the results of models with and without a covariate were compared. Based on these simulations,…
Descriptors: Classification, Models, Prediction, Sample Size
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
Jionghao Lin; Wei Tan; Lan Du; Wray Buntine; David Lang; Dragan Gasevic; Guanliang Chen – IEEE Transactions on Learning Technologies, 2024
Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…
Descriptors: Classification, Dialogs (Language), Teaching Methods, Computer Assisted Instruction
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
Richie, Russell; Bhatia, Sudeep – Cognitive Science, 2021
Similarity is one of the most important relations humans perceive, arguably subserving category learning and categorization, generalization and discrimination, judgment and decision making, and other cognitive functions. Researchers have proposed a wide range of representations and metrics that could be at play in similarity judgment, yet have not…
Descriptors: Classification, Generalization, Decision Making, Cognitive Processes
Shukla, Vishakha; Long, Madeleine; Bhatia, Vrinda; Rubio-Fernandez, Paula – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
While most research on scalar implicature has focused on the lexical scale "some" vs "all," here we investigated an understudied scale formed by two syntactic constructions: categorizations (e.g., "Wilma is a nurse") and comparisons ("Wilma is like a nurse"). An experimental study by Rubio-Fernandez et al.…
Descriptors: Cues, Pragmatics, Comparative Analysis, Syntax
Klingbeil, David A.; Van Norman, Ethan R.; Osman, David J.; Berry-Corie, Kimberly; Carberry, Caroline K.; Kim, Jessica S. – Journal of Psychoeducational Assessment, 2023
Early identification of students needing additional support is a foundational component of Multi-Tiered Systems of Support (MTSS). Due to the resource-intensive nature of implementing MTSS, it is critical that universal screening procedures are maximally accurate and efficient. The purpose of this study was to compare the classification accuracy…
Descriptors: Comparative Analysis, Benchmarking, Evaluation Methods, Screening Tests
Rungsilp, Chutimon; Piromsopa, Krerk; Viriyopase, Atthaphon; U-Yen, Kongpop – International Association for Development of the Information Society, 2021
The study of mind-wandering is popular since it is linked to the emotional problems and working/learning performance. In terms of education, it impacts comprehension during learning which affects academic success. Therefore, we sought to develop a machine learning model for an embedded portable device that can categorize mind-wandering state to…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Artificial Intelligence, Cognitive Processes
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
Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
Botezatu, Mona Roxana; Guo, Taomei; Kroll, Judith F.; Peterson, Sarah; Garcia, Dalia L. – Studies in Second Language Acquisition, 2022
We evaluated external and internal sources of variation in second language (L2) and native language (L1) proficiency among college students. One hundred and twelve native-English L2 learners completed measures of L1 and L2 speaking proficiency, working memory, and cognitive control and provided self-ratings of language exposure and use. When…
Descriptors: Language Proficiency, Second Language Learning, Second Language Instruction, Native Language
Masihay-Akbar, Hasti; Amiri, Parisa; Rezaei, Marjan; Jalali-Farahani, Sara; Cheraghi, Leila; Momenan, Amir Abbas; Azizi, Fereidoun – Journal of School Health, 2022
Background: This study assesses the long-term effectiveness of a lifestyle intervention on cigarette, passive, and hookah smoking in adolescent boys and girls. Methods: One thousand one hundred and fifty-nine adolescent participants of Tehran Lipid and Glucose Study (TLGS) (2001-2004) were followed for 12 years. Participants in the intervention…
Descriptors: Life Style, Intervention, Gender Differences, Health Behavior
Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Jennifer L. Steele – Education Economics, 2024
The question of why postsecondary institutions produce different labor market outcomes is difficult to answer due to unobserved student characteristics. Here, I leverage students' geographic proximity to three classifications of postsecondary institutions -- earnings-enhancing, competitive, and Historically Black Colleges and Universities (HBCUs).…
Descriptors: Outcomes of Education, Black Colleges, Selective Admission, Institutional Characteristics