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Lauren A. Mason; Abigail Miller; Gregory Hughes; Holly A. Taylor – Cognitive Research: Principles and Implications, 2025
False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…
Descriptors: Error Correction, Error Patterns, Evaluation Methods, Visual Aids
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Jian-Wei Lin; Hao-Chiang Koong Lin; Min-Ling Hung – International Review of Research in Open and Distributed Learning, 2025
This study proposes a teaching model called "flipped classroom combined with group awareness" (FC+GA) to address the challenge of student preparedness in a traditional flipped classroom (FC) model setting. The FC+GA model incorporates group awareness tools, which provide visual information such as statistical tables and graphs, that…
Descriptors: Flipped Classroom, Instructional Effectiveness, Student Motivation, Models
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Jorge López González; Verónica Fernández Espinosa; Salvador Ortiz de Montellano – Journal of Moral Education, 2024
This article presents a theoretical justification and a proposal that seeks to educate university students in leadership through virtues and personal competencies. A distinction is offered between virtues and competencies without opposing them. Subsequently, a leadership education model based on virtues and personal competencies is offered. This…
Descriptors: Ethics, Models, Leadership Training, College Students
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Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
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Yuan Bo Xue; Ooi Boon Keat – Journal of Pedagogical Research, 2025
This study investigates the direct effects of theoretical teaching methods, practical teaching methods and school-enterprise cooperations on engineering innovation ability among higher vocational education students in Henan, China. Using the Triple Helix Model as a framework, the research examines the dynamic collaboration between academia,…
Descriptors: Models, School Business Relationship, Teaching Methods, Engineering Education
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Boli Li; Jenene Burke; Margaret Plunkett – Asia Pacific Journal of Education, 2025
Despite the COVID-19 pandemic, Chinese international students (CIS) still comprise the largest international cohort in Australian universities. However, limited research has examined perceptions of CIS' learning approaches in Australian universities from the broader context of the students themselves and their Australian lecturers. This study…
Descriptors: Foreign Countries, Foreign Students, Universities, College Students
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Resa M. Kelly; John H. Kim; Adrian Villalta-Cerdas; Sarah J. R. Hansen; Sevil Akaygun – Journal of Science Education and Technology, 2025
Atomic-level visualizations serve as pivotal instructional tools in chemistry education, providing insights into the particulate level of matter, a dimension fundamental, yet typically invisible, in the study of chemistry. This research investigates how students' engagement with these visualizations influences their conceptual understanding of…
Descriptors: Chemistry, Science Instruction, Video Technology, Comparative Analysis
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Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
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Achmad Bisri; Supardi; Yayu Heryatun; Hunainah; Annisa Navira – Journal of Education and Learning (EduLearn), 2025
In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…
Descriptors: Data Analysis, Models, Academic Achievement, Evaluation Methods
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Noemí Pérez-Macías; Laura Gismera Tierno; Vitor L. De Nicolas – SAGE Open, 2023
The interest in entrepreneurship is growing, due to its relationship with competitiveness, growth, employment, and innovation. In fact, there are numerous studies trying to identify factors influencing entrepreneurial intentions among university students, especially among young people, and in those countries with declining growth rates. Using the…
Descriptors: College Students, Entrepreneurship, Intention, Educational Innovation
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Fei Luo; Jiraporn Chano; Hengliang Chen – International Journal of Language Education, 2024
The purpose of this study is to develop an instructional model to improve the reading abilities of technical documents, and to enhance students' positive learning attitudes for TVE college students in China. This study developed a teaching model based on the Information Processing Approach, Vygotsky's Scaffolding, and Motivation. This teaching…
Descriptors: Reading Skills, Student Attitudes, Vocational Education, Teaching Methods
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Kutuk, Gulsah; Putwain, David W.; Kaye, Linda; Garrett, Bethan – Journal of Psychoeducational Assessment, 2020
This study reports on the development and assessment of a new 30-item Multidimensional Language Class Anxiety Scale which is designed to assess foreign language learners' anxiety regarding four language skills (listening, reading, writing, and speaking) and testing. In Study 1, the initial items were piloted with 323 students studying English as a…
Descriptors: Validity, Anxiety, Second Language Learning, Second Language Instruction
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Ashraf Alam; Atasi Mohanty – Cogent Education, 2024
This scholarly inquiry critically examines the pedagogical aspects pertaining to the instruction and acquisition of Abstract Algebra within the realm of University Mathematics Education (UME). Drawing upon multiple lenses, including epistemological, cognitive, phenomenological, and institutional perspectives, this study investigates the formidable…
Descriptors: Algebra, Mathematics Instruction, College Mathematics, Teaching Methods
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Kun Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study investigates the development and implementation of a big data-driven English ecological classroom teaching model, aiming to reform university English instruction in alignment with contemporary technological advancements. The conventional teaching framework, often limited to textbooks and in-class activities, has been shown to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learner Engagement
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Rowan, Christopher J.; Mulvey, Bridget K. – Journal of Geoscience Education, 2023
Scaled analog modeling ("sandbox modeling") allows deformational processes, such as the development of a mountain belt, to be observed in real time in a classroom setting. However, the actual learning gains from exposure to sandbox modeling in geology courses in higher education settings have not been explicitly studied. We begin to…
Descriptors: Teaching Methods, Instructional Innovation, Models, Geology
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