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Tenzin Dadul – Online Submission, 2024
Purpose: This qualitative study aimed to explore the perceptions of radiology leaders in Midwest dental schools regarding the integration of Cone Beam Computed Tomography (CBCT) education into pre-doctoral curricula. The objectives included identifying barriers and facilitators to the incorporation of CBCT education, assessing its necessity for…
Descriptors: Medical Education, Radiology, Dentistry, Dental Schools
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XinXiu Yang – International Journal of Information and Communication Technology Education, 2024
The objective of this work is to predict the employment rate of students based on the information in the SSM (student status management) in colleges and universities. Firstly, the relevant content of SSM is introduced. Secondly, the BP (Back Propagation) neural network, the LM (Levenberg Marquardt) algorithm, and the BR (Bayesian Regularization)…
Descriptors: Prediction, Employment Patterns, College Students, Algorithms
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Linda Borger; Stefan Johansson; Rolf Strietholt – Educational Assessment, Evaluation and Accountability, 2024
PISA aims to serve as a "global yardstick" for educational success, as measured by student performance. For comparisons to be meaningful across countries or over time, PISA samples must be representative of the population of 15-year-old students in each country. Exclusions and non-response can undermine this representativeness and…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
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Taolin Zhang; Shuwen Jia – International Journal of Web-Based Learning and Teaching Technologies, 2024
At present, many schools implement teaching quality evaluation systems with student performance and practical activities as the core data of evaluation. Based on the introduction of the training objectives and discipline nature of the information management and information system specialty, this paper analyzes the construction principles of the…
Descriptors: Student Evaluation of Teacher Performance, Undergraduate Study, Computer Oriented Programs, Algorithms
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Julia Waldeyer; Tino Endres; Julian Roelle; Martine Baars; Alexander Renkl – Educational Psychology Review, 2024
The present study was designed to understand and optimize self-assessment accuracy in cognitive skill acquisition through example-based learning. We focused on the initial problem-solving phase, which follows after studying worked examples. At the end of this phase, it is important that learners are aware whether they have already understood the…
Descriptors: Self Evaluation (Individuals), Cognitive Processes, Problem Based Learning, Accuracy
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Daniel Murphy; Sarah Quesen; Matthew Brunetti; Quintin Love – Educational Measurement: Issues and Practice, 2024
Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…
Descriptors: Classification, Growth Models, Accuracy, Performance Based Assessment
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Yalin Gao; Shuang Bu – Education and Information Technologies, 2024
English has long been regarded as the universal language. Countries that were earlier reluctant to learn English have also changed their stand due to its global reach. The nonnative English speaker's proficiency largely depends on the College English Teaching (CET) and its evaluation methods. Traditional teaching evaluation models failed to…
Descriptors: College English, English Instruction, English Teachers, College Faculty
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Daniel McNeish; Patrick D. Manapat – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A recent review found that 11% of published factor models are hierarchical models with second-order factors. However, dedicated recommendations for evaluating hierarchical model fit have yet to emerge. Traditional benchmarks like RMSEA <0.06 or CFI >0.95 are often consulted, but they were never intended to generalize to hierarchical models.…
Descriptors: Factor Analysis, Goodness of Fit, Hierarchical Linear Modeling, Benchmarking
Christopher E. Shank – ProQuest LLC, 2024
This dissertation compares the performance of equivalence test (EQT) and null hypothesis test (NHT) procedures for identifying invariant and noninvariant factor loadings under a range of experimental manipulations. EQT is the statistically appropriate approach when the research goal is to find evidence of group similarity rather than group…
Descriptors: Factor Analysis, Goodness of Fit, Intervals, Comparative Analysis
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Gys-Walt Van Egdom; Iris Schrijver; Heidi Verplaetse; Winibert Segers – Interpreter and Translator Trainer, 2024
This article explores the impact of collaboration on target text quality in translator training. By comparing team translations with those by individual peers, and analysing the highest and lowest scoring teams, the authors aimed to understand the impact of collaboration on quality. The comparison indicates that translations in a skills lab…
Descriptors: Foreign Countries, College Students, Translation, Cooperative Learning
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Jionghao Lin; Eason Chen; Zifei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger – International Educational Data Mining Society, 2024
Automated explanatory feedback systems play a crucial role in facilitating learning for a large cohort of learners by offering feedback that incorporates explanations, significantly enhancing the learning process. However, delivering such explanatory feedback in real-time poses challenges, particularly when high classification accuracy for…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Feedback (Response)
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Chierchia, Gabriele; Soukupová, Magdaléna; Kilford, Emma J.; Griffin, Cait; Leung, Jovita; Palminteri, Stefano; Blakemore, Sarah-Jayne – Developmental Science, 2023
Understanding how learning changes during human development has been one of the long-standing objectives of developmental science. Recently, advances in computational biology have demonstrated that humans display a bias when learning to navigate novel environments through rewards and punishments: they learn more from outcomes that confirm their…
Descriptors: Reinforcement, Learning Processes, Developmental Stages, Adolescents
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Spencer, Dan; Nietfeld, John L.; Cao, Li; Difrancesca, Daniell – Journal of Experimental Education, 2023
Understanding the development of self-regulated learning (SRL) in applied educational contexts is currently an important goal for researchers. There exists a relatively rich literature for most SRL components in isolation yet the field is lacking in understanding their coordination. This study examined the relationship between metacognitive…
Descriptors: Undergraduate Students, Metacognition, Progress Monitoring, Attribution Theory
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Setzer, J. Carl; Cheng, Ying; Liu, Cheng – Journal of Educational Measurement, 2023
Test scores are often used to make decisions about examinees, such as in licensure and certification testing, as well as in many educational contexts. In some cases, these decisions are based upon compensatory scores, such as those from multiple sections or components of an exam. Classification accuracy and classification consistency are two…
Descriptors: Classification, Accuracy, Psychometrics, Scores
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Liu, Qiushan; Braithwaite, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Rational numbers are represented by multiple notations: fractions, decimals, and percentages. Whereas previous studies have investigated affordances of these notations for representing different types of information (DeWolf et al., 2015; Tian et al., 2020), the present study investigated their affordances for solving different types of arithmetic…
Descriptors: Fractions, Arithmetic, Mathematical Concepts, Affordances
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