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Showing 1 to 15 of 33 results Save | Export
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Waight, Noemi; Liu, Xiufeng; Whitford, Melinda – Research in Science Education, 2023
This study examined high school chemistry students' understandings of big ideas--matter and energy, how these understandings are related to macro and submicro representations and fine-grained distinguishing characteristics of students' explanations. The study was conducted in the context of computer-based models and model-based assessments.…
Descriptors: Chemistry, Scientific Concepts, Computer Assisted Instruction, Models
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Wang, Ya-Joe; Lee, Silvia Wen-Yu; Liu, Chen-Chung; Lin, Pai-Chuan; Wen, Cai-Ting – Journal of Science Education and Technology, 2021
The purpose of this study was to understand how students engage in computer-supported modeling-based activities (CSMBAs), and the relationship between their engagement and their modeling competence. Different facets of learning engagement were measured through multiple data, including performance on modeling tasks, self-reported level of…
Descriptors: Learner Engagement, Models, Competence, Computer Assisted Instruction
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Balyan, Renu; Arner, Tracy; Taylor, Karen; Shin, Jinnie; Banawan, Michelle; Leite, Walter L.; McNamara, Danielle S. – International Educational Data Mining Society, 2022
The National Council of Teachers of Mathematics (NCTM) has been emphasizing the importance of teachers' pedagogical communication as part of mathematical teaching and learning for decades. Specifically, NCTM has provided guidance on how teachers can foster mathematical communication that positively impacts student learning. A teacher may have…
Descriptors: Tutoring, Guidelines, Mathematics Instruction, Computer Assisted Instruction
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El Bedewy, Shereen; Lavicza, Zsolt; Haas, Ben; Lieban, Diego – Education Sciences, 2022
In this paper we propose STEAM practices that would foster mathematics learning through modelling architecture while connecting to culture and history. The architectural modelling process is applied by the teachers as participants of these practices from different countries allowing a broad cultural and historical connection to mathematics…
Descriptors: STEM Education, Architectural Education, Foreign Countries, History Instruction
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Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
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McCulloch, Allison W.; Whitehead, Ashley; Lovett, Jennifer N.; Whitley, Blake – Mathematics Teacher, 2017
Context is what makes mathematical modeling tasks different from more traditional textbook word problems. Math problems are sometimes stripped of context as they are worked on. For modeling problems, however, context is important for making sense of the mathematics. The task should be brought back to its real-world context as often as possible. In…
Descriptors: Mathematics Instruction, Audio Equipment, Textbooks, Word Problems (Mathematics)
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Deekens, Victor M.; Greene, Jeffrey A.; Lobczowski, Nikki G. – British Journal of Educational Psychology, 2018
Background: Self-regulated learning (SRL) models position metacognitive monitoring as central to SRL processing and predictive of student learning outcomes (Winne & Hadwin, 2008; Zimmerman, 2000). A body of research evidence also indicates that depth of strategy use, ranging from surface to deep processing, is predictive of learning…
Descriptors: Independent Study, Learning Strategies, Electronic Learning, Computer Assisted Instruction
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VanLehn, Kurt; Zhang, Lishan; Burleson, Winslow; Girard, Sylvie; Hidago-Pontet, Yoalli – IEEE Transactions on Learning Technologies, 2017
This project aimed to improve students' learning and task performance using a non-cognitive learning companion in the context of both a tutor and a meta-tutor. The tutor taught students how to construct models of dynamic systems and the meta-tutor taught students a learning strategy. The non-cognitive learning companion was designed to increase…
Descriptors: Metacognition, Learning Strategies, Nonverbal Communication, High School Students
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Jacobson, Michael J.; Kim, Beaumie; Pathak, Suneeta; Zhang, BaoHui – Interactive Learning Environments, 2015
This research explores issues related to the sequencing of structure that is provided as pedagogical guidance. A study was conducted that involved grade 10 students in Singapore as they learned concepts about electricity using four NetLogo Investigations of Electricity agent-based models. It was found that the low-to-high structure learning…
Descriptors: Grade 10, High School Students, Energy, Pretests Posttests
Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2015
This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…
Descriptors: Reading Comprehension, Reading Skills, Natural Language Processing, Intelligent Tutoring Systems
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George, Frikkie; Ogunniyi, M. – Universal Journal of Educational Research, 2016
Instructional methodologies increasingly require teachers' efficacy and implementation of computer-assisted learning (CAL) practices in general and particularly in the science classroom. The South African National Education Department's e-Education[1] policy also encourages the use of computers and computer software in implementing outcome-based…
Descriptors: Teaching Methods, Science Instruction, Computer Assisted Instruction, Foreign Countries
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Waight, Noemi; Gillmeister, Kristina – Research in Science Education, 2014
This study examined teachers' and students' initial conceptions of computer-based models--Flash and NetLogo models--and documented how teachers and students reconciled notions of multiple representations featuring macroscopic, submicroscopic and symbolic representations prior to actual intervention in eight high school chemistry…
Descriptors: Teacher Attitudes, Student Attitudes, High School Students, Secondary School Teachers
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Waight, Noemi; Liu, Xiufeng; Gregorius, Roberto Ma.; Smith, Erica; Park, Mihwa – International Journal of Science Education, 2014
This paper reports on a case study of an immersive and integrated multi-instructional approach (namely computer-based model introduction and connection with content; facilitation of individual student exploration guided by exploratory worksheet; use of associated differentiated labs and use of model-based assessments) in the implementation of…
Descriptors: Case Studies, Science Instruction, Computer Assisted Instruction, Chemistry
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Dori, Yehudit Judy; Kaberman, Zvia – Instructional Science: An International Journal of the Learning Sciences, 2012
Much knowledge in chemistry exists at a molecular level, inaccessible to direct perception. Chemistry instruction should therefore include multiple visual representations, such as molecular models and symbols. This study describes the implementation and assessment of a learning unit designed for 12th grade chemistry honors students. The organic…
Descriptors: Organic Chemistry, Grade 12, Secondary School Science, Science Instruction
Asay, Loretta Johnson – ProQuest LLC, 2013
Analogies are ubiquitous during instruction in science classrooms, yet research about the effectiveness of using analogies has produced mixed results. An aspect seldom studied is a model of instruction when using analogies. The few existing models for instruction with analogies have not often been examined quantitatively. The Teaching With…
Descriptors: Science Education, Logical Thinking, Concept Mapping, Science Instruction
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