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David Wees – Natural Sciences Education, 2024
Requiring students to create weed collections is a common technique for teaching weed identification. Data compiled over 18 years from students' weed collections in a college-level course included over 350 species of plants. Almost half of the specimens belonged to the Asteraceae or Poaceae. The 30 most frequently collected species accounted for…
Descriptors: Agricultural Education, Plants (Botany), Identification, Teaching Methods
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
Kwaku Adu-Gyamfi; Kayla Chandler; Anthony Thompson – School Science and Mathematics, 2025
The challenge posed by algebra story problems creates a significant hurdle for many students, transcending both the mathematical content of the problem and the specific instructional background received. This study offers a distinctive contribution to the existing literature by focusing on the cognitive conditions essential for comprehension in…
Descriptors: Algebra, Mathematics Instruction, Barriers, Cognitive Processes
Sakyiwaa Boateng; Sizwe J. C. Masuku – Journal of Baltic Science Education, 2025
Electricity and magnetism are fundamental areas of physics and are integral to science curricula at various educational levels. However, this area has been reported to contain several concepts that students find challenging, leading to perspectives that diverge from scientifically accepted views. This study examines the errors made by physics…
Descriptors: Physics, Science Teachers, Preservice Teachers, Teacher Education Programs
Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Epp, Carrie Demmans – International Educational Data Mining Society, 2022
The need to identify student cognitive engagement in online-learning settings has increased with our use of online learning approaches because engagement plays an important role in ensuring student success in these environments. Engaged students are more likely to complete online courses successfully, but this setting makes it more difficult for…
Descriptors: Online Courses, Group Discussion, Learner Engagement, Student Participation
Kreager, B. Z.; LaDue, N. D.; Shipley, T. F. – Journal of Geoscience Education, 2023
Sequence stratigraphic and Wheeler diagram interpretations require a strong combination of conceptual understanding and diagram reasoning skills. Students are generally exposed to the foundational concepts within sequence stratigraphy (relative sea level, eustasy, base level, and accommodation) in a variety of courses along their degree path,…
Descriptors: Concept Formation, Visual Aids, Thinking Skills, Learning Processes
Das, Syaamantak; Das Mandal, Shyamal Kumar; Basu, Anupam – Journal of Education, 2022
It was observed from previous researches that Bloom's Taxonomy action verbs (BTAVs) are overlapping in multiple cognitive levels, causing ambiguity about the real sense of the word. A data set of BTAVs was ranked using a statistical classification. Four categories of BTAVs were identified, out of which 153 BTAVs (86.44%) are classified into a…
Descriptors: Verbs, Classification, Taxonomy, Ambiguity (Semantics)
Yun Huang; Christian Dieter Schunn; Julio Guerra; Peter L. Brusilovsky – ACM Transactions on Computing Education, 2024
Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…
Descriptors: Programming, Computer Science Education, Error Patterns, Classification
Young, Nicholas T.; Caballero, Marcos D. – Journal of Educational Data Mining, 2021
We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the…
Descriptors: Prediction, Models, Learning Analytics, Mathematics
Ellison, George T. H. – Journal of Statistics and Data Science Education, 2021
Temporality-driven covariate classification had limited impact on: the specification of directed acyclic graphs (DAGs) by 85 novice analysts (medical undergraduates); or the risk of bias in DAG-informed multivariable models designed to generate causal inference from observational data. Only 71 students (83.5%) managed to complete the…
Descriptors: Statistics Education, Medical Education, Undergraduate Students, Graphs
Yu-Chin, Chiu – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Recent context-control learning studies have shown that switch costs are reduced in a particular context predicting a high probability of switching as compared to another context predicting a low probability of switching. These context-specific switch probability effects suggest that control of task sets, through experience, can become associated…
Descriptors: Learning Processes, Prior Learning, Task Analysis, Cognitive Ability
Enhancement of the Command-Line Environment for Use in the Introductory Statistics Course and Beyond
Gerbing, David W. – Journal of Statistics and Data Science Education, 2021
R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…
Descriptors: Statistics Education, Teaching Methods, Introductory Courses, Programming Languages
Mubarak, Faisal; Deviana, Ade Destri; Hasanah, Mamluatul; Qomariyah, Lailatul; Nasarudine; Hafiz, Abdul; Marsiah; Yahya, M. – Eurasian Journal of Applied Linguistics, 2022
Students' Arabic thesis writing comprises several grammatical errors of different types. This study aimed to find out: (1) errors in writing Arabic phrases on students of the Arabic Language Education Master's Program at universities of Indonesia, and (2) factors that caused these writing errors. This research sued a qualitative research design,…
Descriptors: Arabic, Phrase Structure, Grammar, Foreign Countries
Cheng, Shuk Ling – International Society for Technology, Education, and Science, 2022
This paper examines the English grammatical errors and their patterns in the written assignments of a General Education course at City University of Hong Kong. Subjects are 60 local and non-local (exchange) undergraduate students who are all L2 learners with diversified education and disciplinary background (i. e. their major of study) which are…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Grammar
Salmani Nodoushan, Mohammad Ali – Online Submission, 2018
This study attempted at classifying common errors found in the written performance of lower- and upper-intermediate Iranian EFL learners. It engaged a rich corpus of EFL writing samples collected over a course of 20 years (between 1992 and 2011) from lower- and upper-intermediate EFL learners studying at various Iranian universities to provide a…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, College Students