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Tulis, Maria – Psychology Learning and Teaching, 2022
This experimental field study (pre-post-follow-up design) with 184 student teachers examined the effectiveness of an intervention to reduce misconceptions about psychology within an introductory psychology course. For this purpose, over the course's one-semester duration, all students attended six lectures and, in addition, worked individually on…
Descriptors: Introductory Courses, Psychology, Misconceptions, Preservice Teachers
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Wakhata, Robert; Balimuttajjo, Sudi; Mutarutinya, Védaste – Mathematics Teaching Research Journal, 2023
This is an exploratory study considering instructional methods in mathematics education. The study examined misconceptions arising from selected assignments undertaken by sixty-five students. The students were attending a calculus mathematical course unit on limits of functions, in different academic areas offered at selected tertiary institutions…
Descriptors: Teaching Methods, Mathematics Instruction, Misconceptions, Calculus
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Halim, Audrey S.; Finkenstaedt-Quinn, Solaire A.; Olsen, Laura J.; Gere, Anne Ruggles; Shultz, Ginger V. – CBE - Life Sciences Education, 2018
Student misconceptions are an obstacle in science, technology, engineering, and mathematics courses and unless remediated may continue causing difficulties in learning as students advance in their studies. Writing-to-learn assignments (WTL) are characterized by their ability to promote in-depth conceptual learning by allowing students to explore…
Descriptors: Misconceptions, Science Instruction, Biology, Introductory Courses
Fry, Elizabeth Brondos – ProQuest LLC, 2017
Recommended learning goals for students in introductory statistics courses include the ability to recognize and explain the key role of randomness in designing studies and in drawing conclusions from those studies involving generalizations to a population or causal claims (GAISE College Report ASA Revision Committee, 2016). The purpose of this…
Descriptors: Introductory Courses, Statistics, Concept Formation, Sampling
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Bargagliotti, Anna E.; Anderson, Celia Rousseau – Mathematical Thinking and Learning: An International Journal, 2017
As a result of the increased focus on data literacy and data science across the world, there has been a large demand for professional development in statistics. However, exactly how these professional development opportunities should be structured remains an open question. The purpose of this paper is to describe the first iteration of a design…
Descriptors: Faculty Development, Statistics, Mathematics Instruction, Concept Formation
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction