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Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Antosz, Patrycja; Szczepanska, Timo; Bouman, Loes; Polhill, J. Gareth; Jager, Wander – International Journal of Social Research Methodology, 2022
Even though agent-based modelling is seen as committing to a mechanistic, generative type of causation, the methodology allows for representing many other types of causal explanations. Agent-based models are capable of "integrating" diverse causal relationships into coherent causal mechanisms. They mirror the crucial, multi-level…
Descriptors: Causal Models, Role, Correlation, Problem Solving
Göktepe Yildiz, Sevda; Göktepe Körpeoglu, Seda – Education and Information Technologies, 2023
Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…
Descriptors: Foreign Countries, Students, Student Attitudes, Problem Solving
Brady, Corey; Jung, Hyunyi – Educational Studies in Mathematics, 2022
Though there is an extensive research literature on understanding and assessing individual modeling competencies, less attention has been given to characterizing the social context of the classroom in which modeling occurs. Yet a classroom's culture of modeling--its negotiated system of beliefs and values about the nature of modeling and what…
Descriptors: Mathematical Models, Classroom Environment, School Culture, Mathematics Education
Elwert, Felix; Pfeffer, Fabian T. – Sociological Methods & Research, 2022
Conventional advice discourages controlling for postoutcome variables in regression analysis. By contrast, we show that controlling for commonly available postoutcome (i.e., future) values of the treatment variable can help detect, reduce, and even remove omitted variable bias (unobserved confounding). The premise is that the same unobserved…
Descriptors: Bias, Regression (Statistics), Evaluation Methods, Research
T. S. Kutaka; P. Chernyavskiy; J. Sarama; D. H. Clements – Grantee Submission, 2023
Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…
Descriptors: Learning Trajectories, Problem Solving, Mathematics Instruction, Early Intervention
Galbraith, Peter – Australian Mathematics Education Journal, 2020
Recently a teacher friend enquired about the S-I-R equations for disease spread, and what follows was stimulated by that exchange. COVID-19 provides an opportunity to put mathematical flesh on verbal bones such as "self-isolation", "lockdown", "herd immunity", "flattening the curve", "closed…
Descriptors: Mathematical Models, Problem Solving, Computation, Evaluation Methods
Nabor C. Mendonça – ACM Transactions on Computing Education, 2024
The recent integration of visual capabilities into Large Language Models (LLMs) has the potential to play a pivotal role in science and technology education, where visual elements such as diagrams, charts, and tables are commonly used to improve the learning experience. This study investigates the performance of ChatGPT-4 Vision, OpenAI's most…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Foreign Countries
Reit, Xenia-Rosemarie; Schäfer, Marc – Journal on Mathematics Education, 2020
It remains a challenge for teachers to integrate modeling tasks in everyday mathematics classes. Many studies have been conducted that show the difficulties faced by teachers. One of the challenging aspects in this regard is that of assessment. In the present study, a connection between structures of learners' solution strategies and cognitive…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematical Models, Problem Solving
Maker, C. June – Gifted Education International, 2021
With problem-solving as the focus and wisdom as the goal, the concept of giftedness is reconceptualized in the 21st century context. The two most prominent constructs in the field of education for the gifted, creativity and intelligence, are integrated into a view of exceptional talent as consisting of the ability and willingness to solve complex…
Descriptors: Problem Solving, Creativity, Intelligence, Talent
Ozturk, Ayse – Mathematics Teacher: Learning and Teaching PK-12, 2023
The National Council of Teachers of Mathematics (NCTM, 2014) highlights that effective teaching practices promote students' reasoning and sense making through various problem-solving strategies. Rather than telling students what to do and how to solve problems, teachers are expected to engage learners in accessible real-life problem situations…
Descriptors: Ethics, Mathematics Instruction, Teaching Methods, Problem Solving
Frey, Regina F.; Brame, Cynthia J.; Fink, Angela; Lemons, Paula P. – CBE - Life Sciences Education, 2022
Problem solving plays an essential role in all scientific disciplines, and solving problems can reveal essential concepts that underlie those disciplines. Thus, problem solving serves both as a common tool and desired outcome in many science classes. Research on teaching problem solving offers principles for instruction that are guided by learning…
Descriptors: Problem Solving, Intellectual Disciplines, Teaching Methods, Science Education
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Armstrong, Tess; Johnson, Ingrid L. – Strategies: A Journal for Physical and Sport Educators, 2019
This article describes the five stages of the design thinking model used to engage students in a creative-thinking process to solve assessment barriers.
Descriptors: Design, Creative Thinking, Problem Solving, Barriers
Shively, Kate; Stith, Krista M.; Rubenstein, Lisa DaVia – Gifted Child Today, 2018
The field of gifted education has a rich history of proposing and implementing innovative pedagogical practices to develop students' creative and critical thinking, yet less attention has been given to the assessment of these learning experiences. If creative and critical thinking are both inherently important in developing global problem solvers…
Descriptors: Academically Gifted, Student Evaluation, Creativity, Critical Thinking