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Rodic, Dušica; Horvat, Saša; Roncevic, Tamara; Babic-Kekez, Snežana – International Baltic Symposium on Science and Technology Education, 2021
Examining students' inclinations to use algorithms and rules to solve a task was a fruitful area of research in chemical education in the last four decades. This research aimed to examine whether students read the task request carefully, considering its meaningfulness, or they approach it mechanically, applying a set of algorithms by default. The…
Descriptors: Mathematics, Problem Solving, Chemistry, Science Education
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Espino, Alejandro Ecos; Núñez, Joffré Huamán; Moscoso, Braulio Barzola; Chávez, Zoraida Manrique; Alvitez, Alejandro Rumaja; Cajo, Oscar García – International Association for Development of the Information Society, 2020
The study of the variational behavior of functions constitutes an important element in the understanding of the change of phenomena in real life. His understanding is an essential axis in the mathematical training of university students, especially those who pursue engineering careers. This article presents the results of a study whose objective…
Descriptors: Engineering Education, College Students, Error Patterns, Mathematics
Olney, Andrew M. – Grantee Submission, 2021
In contrast to simple feedback, which provides students with the correct answer, elaborated feedback provides an explanation of the correct answer with respect to the student's error. Elaborated feedback is thus a challenge for AI in education systems because it requires dynamic explanations, which traditionally require logical reasoning and…
Descriptors: Feedback (Response), Error Patterns, Artificial Intelligence, Test Format
Van Inwegen, Eric G.; Adjei, Seth A.; Wang, Yan; Heffernan, Neil T. – International Educational Data Mining Society, 2015
User modelling algorithms such as Performance Factors Analysis and Knowledge Tracing seek to determine a student's knowledge state by analyzing (among other features) right and wrong answers. Anyone who has ever graded an assignment by hand knows that some answers are "more wrong" than others; i.e. they display less of an understanding…
Descriptors: Knowledge Level, Performance Factors, Error Patterns, Mathematics