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C. Rashaad Shabab – Teaching Mathematics and Its Applications, 2024
This paper applies the well-known cognitive bias of loss aversion from behavioural economics to student decisions over engagement with mathematically demanding coursework. This bias is shown to predict behaviour that is consistent with mathematics anxiety in a dynamic model of student engagement. It is shown that these forces can imply…
Descriptors: Mathematics Anxiety, Mathematics Instruction, Difficulty Level, Student Behavior
Gyamfi, Abraham; Acquaye, Rosemary – Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students' ability from any set of the items. Item response theory allows the difficulty and discrimination levels of each item on the test to be estimated. In the framework of IRT, item characteristics are…
Descriptors: Item Response Theory, Models, Test Items, Difficulty Level
Gerit Wagner; Laureen Thurner – Journal of Information Systems Education, 2025
Git, as the leading version-control system, is frequently employed by software developers, digital product managers, and knowledge workers. Information systems (IS) students aspiring to fill software engineering, management, or research positions would therefore benefit from familiarity with Git. However, teaching Git effectively can be…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Software
Heidi L. Morton; David Moran; Mary Amanda Graham; Paige Wakamatsu; Chloe Kimiai – Journal of Educational Leadership and Policy Studies, 2024
Counselors and educators must re-imagine social-emotional wellness as an essential part of the academic curriculum. The authors present a collaborative, sustainable model that focuses both on academic rigor and emotional wellness. The authors outline how this model can be integrated in any academic content area and how school counselors and…
Descriptors: School Counselors, High School Teachers, Social Emotional Learning, Academic Standards
Wang, Peipei; Li, Lin; Wang, Ru; Xie, Yifan; Zhang, Jianwei – Education and Information Technologies, 2022
Planning course study is critical to facilitate strategic intervention in education. As a significant basis of planning course study, student performance prediction aims to utilize students existing relevant information to predict their future learning performance including course grades, course failure, grade point average, etc. We target course…
Descriptors: Planning, Prediction, Academic Achievement, Grades (Scholastic)
Natalia Riapina – Business and Professional Communication Quarterly, 2024
This article presents a conceptual framework for integrating AI-enabled business communication in higher education. Drawing on established theories from business communication and educational technology, the framework provides comprehensive guidance for designing engaging learning experiences. It emphasizes the significance of social presence,…
Descriptors: Artificial Intelligence, Business Communication, Higher Education, Technology Uses in Education
Camille Lund – Mathematics Teacher: Learning and Teaching PK-12, 2024
Every educator knows the sinking feeling of a lesson gone wrong. As teachers look around the room and realize that many of their students are just not getting it, they often feel like failures. However, the struggle students experience as they persevere through high-quality challenging tasks is not a sign of failure, but rather a key aspect of…
Descriptors: Mathematics Instruction, Difficulty Level, Mathematics Skills, Teaching Methods
Shearer, Rick L.; Yu, Junxiu; Peng, Xinyun – Learning: Research and Practice, 2021
Within the fields of learning design, instructional systems and educational psychology, cognitive load has been discussed and debated for a number of years. The impact of course designs on learning process is still questioned, and how we learn continues to be an intriguing question. The fields of working memory (WM) and cognitive load (CL) have…
Descriptors: Cognitive Processes, Difficulty Level, Short Term Memory, Systems Approach
Khong, Hou Keat; Kabilan, Muhammad Kamarul – Computer Assisted Language Learning, 2022
The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for…
Descriptors: Second Language Instruction, Cognitive Processes, Difficulty Level, Self Determination
Hoogerheide, Vincent; Roelle, Julian – Applied Cognitive Psychology, 2020
Decades of research has shown that example-based learning is an effective instructional strategy for learning new skills. The field of learning from examples is seeing a shift in focus towards more innovative and use-inspired research, in part because the use of examples for informal and formal learning purposes has mushroomed. This special issue…
Descriptors: Observational Learning, Problem Solving, Cognitive Processes, Difficulty Level
Butterfuss, Reese; Kim, Jasmine; Kendeou, Panayiota – Grantee Submission, 2020
The aim of this article is twofold. First, it provides a general overview of reading comprehension by outlining classic models of single-text comprehension and more recent models of multiple-text comprehension and sourcing during reading comprehension. Second, the article highlights important sources of individual differences in reading…
Descriptors: Reading Comprehension, Models, Information Sources, Individual Differences
Agterberg, D. A.; Oostdam, R. J.; Janssen, F. J. J. M. – Educational Studies in Mathematics, 2022
It is a challenge for mathematics teachers to provide activities for their students at a high level of cognitive demand. In this article, we explore the possibilities that history of mathematics has to offer to meet this challenge. History of mathematics can be applied in mathematics education in different ways. We offer a framework for describing…
Descriptors: Mathematics, History, Cognitive Processes, Difficulty Level
Özdemir, Erdogan; Coramik, Mustafa – Physics Education, 2022
It is often necessary to enrich the teaching environment in order for students to learn optics in depth and to interpret the real optical situations with the information they have learned. In this study, a virtual teaching environment was developed using by Algodoo, a 2D simulation software. An eye model was created in order to explain the…
Descriptors: Light, Physics, Teaching Methods, Models
Reinstein, Ilan; Hill, Jennifer; Cook, David A.; Lineberry, Matthew; Pusic, Martin V. – Advances in Health Sciences Education, 2021
Visual diagnosis of radiographs, histology and electrocardiograms lends itself to deliberate practice, facilitated by large online banks of cases. Which cases to supply to which learners in which order is still to be worked out, with there being considerable potential for adapting the learning. Advances in statistical modeling, based on an…
Descriptors: Clinical Diagnosis, Visual Aids, Difficulty Level, Regression (Statistics)
Prediger, Susanne; Roesken-Winter, Bettina; Leuders, Timo – Journal of Mathematics Teacher Education, 2019
Given the challenges of scaling up content-related professional development (PD), the PD facilitators have gained increasing attention in PD research. In this mainly programmatic and structural article, we try to systematize existing research strategies which take into account the multifaceted and multi-level structure of PD research. We discuss…
Descriptors: Facilitators (Individuals), Mathematical Models, Professional Development, Research Methodology