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Yun Long; Haifeng Luo; Yu Zhang – npj Science of Learning, 2024
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…
Descriptors: Classroom Communication, Computational Linguistics, Chinese, Mathematics Instruction
Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
Sayac, Nathalie; Veldhuis, Michiel – International Journal of Science and Mathematics Education, 2022
We investigated French primary school teachers' assessment practice in mathematics. Using an online questionnaire on teachers' background, teaching, and grading practice, we were able to determine assessment profiles of 604 primary school teachers. As evidenced by the teachers' scores on the latent factors Assessment purposes, Assessment…
Descriptors: Foreign Countries, Elementary School Teachers, Mathematics Instruction, Evaluation Methods
Davies, Ben; Miller, David; Infante, Nicole – International Journal of Mathematical Education in Science and Technology, 2023
We report on a series of task-based interviews in which nine mathematicians were asked to evaluate a series of six mathematical arguments, purportedly produced either by fellow mathematicians or undergraduate students. In this paper, we attend to the role of context in mathematicians' responses, leading to four themes in expectations when…
Descriptors: Undergraduate Students, Validity, Mathematical Logic, Persuasive Discourse
Kandaiah, Thiruchelvam; Latip, Siti Halijah – Journal of Science and Mathematics Education in Southeast Asia, 2022
Purpose: The aim of this paper is to study the use of FIS Response Analysis for Critical Thinking Assessment (FRACTA) method to assess critical thinking in STEM problem solving. The use of FIS (facts, ideas and solutions) chart as a tool to elicit student critical thinking responses and the method of scoring the responses are investigated. Method:…
Descriptors: Scoring, Critical Thinking, Feedback (Response), Credibility
Krall, Geoff – Canadian Journal of Science, Mathematics and Technology Education, 2023
In order to identify the potential benefits and challenges of implementing student portfolios as quality mathematics assessment, a pilot study was conducted with teachers in various secondary school settings. The multi-case study consisted of five teacher participants from geographically and demographically differing contexts, four in the USA and…
Descriptors: Portfolio Assessment, Mathematics Instruction, Evaluation Methods, Pilot Projects
Habiyaremye, Hashituky Telesphore; Ntivuguruzwa, Celestin; Ntawiha, Philothere – Mathematics Teaching Research Journal, 2022
The teaching practices of mathematics are still little-known in Rwandan schools though the Competence-Based Curriculum (CBC) and many pedagogical documents recommend how to assess, what to assess, and when to assess the effective teaching of mathematics. This study aimed to assess Rwandan mathematics teachers' practices through pedagogical content…
Descriptors: Teaching Methods, Mathematics Instruction, Competency Based Education, Pedagogical Content Knowledge
Aguilar, Jair J. – Mathematics Teaching Research Journal, 2021
A mathematical client-driven task known as Model-Eliciting Activities was implemented with students of different levels of achievement (i.e., low, average, and high) at the high-school level. The study strived to prove that Model-Eliciting Activities can be solved by students at any achievement level and be used as an assessment tool. Students…
Descriptors: Mathematics Instruction, Mathematics Achievement, Cooperative Learning, High School Students
Rihák, Jirí; Pelánek, Radek – International Educational Data Mining Society, 2017
Educational systems typically contain a large pool of items (questions, problems). Using data mining techniques we can group these items into knowledge components, detect duplicated items and outliers, and identify missing items. To these ends, it is useful to analyze item similarities, which can be used as input to clustering or visualization…
Descriptors: Item Analysis, Data Analysis, Visualization, Simulation
Derado, Josip; Garner, Mary L.; Tran, Thu-Hang – PRIMUS, 2016
Students' abilities and interests vary dramatically in the college mathematics classroom. How do we teach all of these students effectively? In this paper, we present the Point Reward System (PRS), a new method of assessment that addresses this problem. We designed the PRS with three main goals in mind: to increase the retention rates; to keep all…
Descriptors: Mathematics Instruction, College Mathematics, Student Diversity, Academic Ability
Nortvedt, Guri A.; Santos, Leonor; Pinto, Jorge – Assessment in Education: Principles, Policy & Practice, 2016
In this study, we aim to understand the forces driving assessment for learning (AfL) in primary school teaching. By applying a case study design, including the two cases of Norway and Portugal and using mathematics teaching as an example, available policy documents and research reports are analysed to identify the differences and similarities that…
Descriptors: Foreign Countries, Elementary School Mathematics, Mathematics Instruction, Case Studies
Huang, Yun; González-Brenes, José P.; Kumar, Rohit; Brusilovsky, Peter – International Educational Data Mining Society, 2015
Latent variable models, such as the popular Knowledge Tracing method, are often used to enable adaptive tutoring systems to personalize education. However, finding optimal model parameters is usually a difficult non-convex optimization problem when considering latent variable models. Prior work has reported that latent variable models obtained…
Descriptors: Guidelines, Models, Prediction, Evaluation Methods
Ford, Marilyn Sue; Usnick, Virginia – Investigations in Mathematics Learning, 2011
This project had two major goals: to determine the usefulness of individually-administered interview process to access elementary students' fluency with basic multiplication facts, and to determine whether a developmental sequence found in Australian mathematics education literature applied to elementary students in the United States. Students in…
Descriptors: Foreign Countries, Mathematics Education, Multiplication, Evaluation Methods
Abramovich, Samuel; Schunn, Christian; Higashi, Ross Mitsuo – Educational Technology Research and Development, 2013
Educational Badges are touted as an alternative assessment that can increase learner motivation. We considered two distinct models for educational badges; merit badges and videogame achievements. To begin unpacking the relationship between badges and motivation, we conducted a study using badges within an intelligent-tutor system for teaching…
Descriptors: Student Motivation, Prior Learning, Alternative Assessment, Expertise
Fu, Zhi-Hui; Tao, Jian; Shi, Ning-Zhong; Zhang, Ming; Lin, Nan – Multivariate Behavioral Research, 2011
Multidimensional item response theory (MIRT) models can be applied to longitudinal educational surveys where a group of individuals are administered different tests over time with some common items. However, computational problems typically arise as the dimension of the latent variables increases. This is especially true when the latent variable…
Descriptors: Simulation, Foreign Countries, Longitudinal Studies, Item Response Theory