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Lucy A. Watson; Elizabeth B. Harkey; Angela T. Barlow – Mathematics Teacher: Learning and Teaching PK-12, 2024
Barlow et al. (2018) discussed three types of mistakes worthy of inspection: procedural errors, inappropriate solution processes, and misconceptions. Here, the authors focus on procedural errors, as these often led the teachers in their professional development project to limit their inspection of mistakes to correcting. Despite this narrow focus,…
Descriptors: Mathematics Instruction, Misconceptions, Teaching Methods, Error Patterns
Halil Önal – Southeast Asia Early Childhood, 2023
The aim of this research is to determine the students' misconceptions of using concept cartoons and to evaluate the lessons taught with concept cartoons according to the students' opinions. The model of the research is the case study, which is one of the qualitative research methods. Participants are a total of 82 students, attending the 3rd grade…
Descriptors: Misconceptions, Cartoons, Error Patterns, Student Attitudes
Bulelwa Penelope Stemele; Zaheera Jina Asvat – African Journal of Research in Mathematics, Science and Technology Education, 2024
South African learners' performance in mathematics, both locally and internationally, has raised significant concerns, particularly in the realm of algebra. To address this issue, a mixed-methods study was conducted to explore the effectiveness of using algebra tiles to teach algebraic expressions. The study aimed to investigate algebraic…
Descriptors: Error Patterns, Misconceptions, Algebra, Middle School Students
Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
Shih, Shu-Chuan; Chang, Chih-Chia; Kuo, Bor-Chen; Huang, Yu-Han – Education and Information Technologies, 2023
A one-on-one dialogue-based mathematics intelligent tutoring system (ITS) for learning multiplication and division of fractions was developed and evaluated in this study. This system could identify students' error types and misconceptions in real-time by using a block-based matching method. The adaptive dialogue-based instruction was supported by…
Descriptors: Mathematics Instruction, Intelligent Tutoring Systems, Multiplication, Division
Christina Areizaga Barbieri; Elena M. Silla – Journal of Experimental Education, 2024
Prior research highlights a positive effect of incorrect worked examples on mathematics learning. Yet the mechanisms underlying these benefits are unclear. To investigate potential mechanisms of the benefits of various worked example types, we examined process data from a previously published classroom-based experiment. More specifically, we…
Descriptors: Middle School Students, Ethnic Diversity, Racial Relations, Public Schools
López, María Virginia; Fabrizio, María del Carmen; Plencovich, María Cristina – Teaching Statistics: An International Journal for Teachers, 2018
Although our students correctly define the terms p-value, Type I and Type II errors, they sometimes misinterpret results from real data. In this work we present an assignment intended to clear up these misconceptions.
Descriptors: Statistics, Assignments, Misconceptions, Teaching Methods
Cline, Kelly; Zullo, Holly; Huckaby, David A. – Teaching Mathematics and Its Applications, 2020
Common student errors and misconceptions can be addressed through the method of classroom voting, in which the instructor presents a multiple-choice question to the class, and after a few minutes for consideration and small-group discussion, each student votes on the correct answer, using a clicker or a phone. If a large number of students have…
Descriptors: Error Patterns, Misconceptions, Mathematics Instruction, Calculus
Kortemeyer, Gerd – Physical Review Physics Education Research, 2023
Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Introductory Courses
Kshetree, Mukunda Prakash; Acharya, Bed Raj; Khanal, Bishnu; Panthi, Ram Krishna; Belbase, Shashidhar – European Journal of Educational Research, 2021
This paper explores misconceptions and errors (M/Es) of eighth-grade students in Nepal with a quasi-experimental design with nonequivalent control and experimental groups. The treatment was implemented with teaching episodes based on different remedial strategies of addressing students' M/Es. Students of control groups were taught under…
Descriptors: Grade 8, Secondary School Students, Mathematical Concepts, Misconceptions
Fernandez-Nieto, Gloria Milena; Echeverria, Vanessa; Shum, Simon Buckingham; Mangaroska, Katerina; Kitto, Kirsty; Palominos, Evelyn; Axisa, Carmen; Martinez-Maldonado, Roberto – IEEE Transactions on Learning Technologies, 2021
There is growing interest in creating learning analytics feedback interfaces that support students directly. While dashboards and other visualizations are proliferating, the evidence is that many fail to provide meaningful insights that help students reflect productively. The contribution of this article is qualitative and quantitative evidence…
Descriptors: Student Attitudes, Story Telling, Accountability, Formative Evaluation
Makamure, Chipo; Jojo, Zingiswa M. – EURASIA Journal of Mathematics, Science and Technology Education, 2022
Literature has established that some learners encountered difficulties solving first order ordinary differential equations (ODEs). The use of error analysis in teaching ODEs is believed to make essential contribution towards calculus knowledge development. This paper therefore focuses on analyzing pre-service teachers' (PSTs) errors and…
Descriptors: Error Patterns, Preservice Teachers, Misconceptions, Mathematics Instruction
Alex Bakke – ProQuest LLC, 2024
Discourse markers (DMs) are linguistic forms characterized by their use as conversation organizers or pause fillers (Fox Tree, 2010). Although used frequently in both speech and writing, DMs are not often taught in L2 classrooms, despite incorrect usage causing potential misunderstandings (Polat, 2011). Additionally, L2 learners have been observed…
Descriptors: Spanish, Second Language Learning, Second Language Instruction, Language Classification
Torbeyns, Joke; Verbruggen, Sandy; Depaepe, Fien – ZDM: The International Journal on Mathematics Education, 2020
Teachers' pedagogical content knowledge (PCK) importantly contributes to instructional quality and student outcomes. We aimed to complement the limited insights into preservice preschool teachers' PCK, and its association with opportunities to learn (OTL), during teacher training. We offered 162 first-to-final-year preservice preschool teachers…
Descriptors: Pedagogical Content Knowledge, Preschool Teachers, Preservice Teachers, Teacher Education Programs
Saifurrisal, Ahmad Hasan – International Society for Technology, Education, and Science, 2022
Problem-solving is one of the 21st-century skills. However, students still have difficulty solving sequences and series word problems. The purpose of this research is to analyze students' errors in solving sequences and series word problems based on problem-solving steps of Polya. The research method is descriptive qualitative. The research…
Descriptors: Error Patterns, Word Problems (Mathematics), Mathematics Tests, Student Attitudes