NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Grantee Submission31
Audience
Laws, Policies, & Programs
Showing 1 to 15 of 31 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Maria Blanton; Angela Murphy Gardiner; Ana Stephens; Rena Stroud; Eric Knuth; Despina Stylianou – Grantee Submission, 2023
We describe here lessons learned in designing an early algebra curriculum to measure early algebra's impact on children's algebra readiness for middle grades. The curriculum was developed to supplement regular mathematics instruction in Grades K-5. Lessons learned centered around the importance of several key factors, including using conceptual…
Descriptors: Mathematics Curriculum, Curriculum Design, Mathematics Instruction, Kindergarten
Anita B. Delahay; Marsha C. Lovett – Grantee Submission, 2019
Prior knowledge has long been recognized as an important predictor of learning, yet the term prior knowledge is often applied to related but distinct constructs. We define a specific form of prior knowledge, ancillary knowledge, as knowledge of concepts and skills that enable learners to gain the most from a target lesson. Ancillary knowledge is…
Descriptors: Undergraduate Students, Prior Learning, Experiential Learning, Introductory Courses
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nagashima, Tomohiro; Bartel, Anna N.; Yadav, Gautam; Tseng, Stephanie; Vest, Nicholas A.; Silla, Elena M.; Alibali, Martha W.; Aleven, Vincent – Grantee Submission, 2021
Prior research shows that self-explanation promotes understanding by helping learners connect new knowledge with prior knowledge. However, despite ample evidence supporting the effectiveness of self-explanation, an instructional design challenge emerges in how best to scaffold self-explanation. In particular, it is an open challenge to design…
Descriptors: Teaching Methods, Mathematics Instruction, Algebra, Middle School Students
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Tiffany Herder; Martina A. Rau – Grantee Submission, 2022
Educational video games can engage students in authentic STEM practices, which often involve visual representations. Specifically, because most interactions within video games are mediated through visual representations, video games provide opportunities for students to experience disciplinary practices with visuals. However, prior research has…
Descriptors: Educational Games, Video Games, STEM Education, Visual Stimuli
Martin, Kit; Horn, Michael; Wilensky, Uri – Grantee Submission, 2020
This paper introduces constructivist dialogue mapping (CDM), a new type of concept mapping. CDM encodes what people learn during a non-goal directed learning activity. CDM is a practical means to outline the mini theories users fluidly construct as they explore open-ended learning environments. To demonstrate the method, in this paper we use CDM…
Descriptors: Concept Mapping, Constructivism (Learning), Learning Activities, Concept Formation
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Pooja G. Sidney; Julie F. Shirah; Lauren Zahrn; Clarissa A. Thompson – Grantee Submission, 2022
In mathematics, learners often spontaneously draw on prior knowledge when learning new ideas. In this study, we examined whether the specific diagrams used to represent more familiar (i.e., whole number division) and less familiar ideas (i.e., fraction division) shape successful transfer. Undergraduates (N = 177) were randomly assigned to…
Descriptors: Mathematics Education, Prior Learning, Transfer of Training, Visual Aids
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Haiwen Chu; Guillermo Virgilio Lopez – Grantee Submission, 2023
English Learners benefit from small group sorting activities with clear structures to participate. Early in a lesson, students can sort to surface prior knowledge and develop categories. Later, sorting helps English Learners coordinate and connect multiple representations. As they extend understanding, English Learners can make new connections and…
Descriptors: Mathematics Instruction, English Learners, Secondary School Students, Student Participation
Ton de Jong; Ard W. Lazonder; Clark A. Chinn; Frank Fisher; Janice Gobert; Cindy E. Hmelo-Silver; Ken R. Koedinger; Joseph S. Krajcik; Eleni A. Kyza; Marcia C. Linn; Margus Pedaste; Katharina Scheiter; Zacharias C. Zacharia – Grantee Submission, 2023
Many studies investigating inquiry learning in science domains have appeared over the years. Throughout this period, inquiry learning has been regularly criticized by scholars who favor direct instruction over inquiry learning. In this vein, Zhang, Kirschner, Cobern, and Sweller (2022) recently asserted that direct instruction is overall superior…
Descriptors: Teaching Methods, Direct Instruction, Inquiry, Active Learning
Walkington, Candace – Grantee Submission, 2020
This paper responds to a 2016 systematic literature review of the research on learning games by Ke (2016). The review paper unpacked the idea of intrinsic integration in learning games, analyzing important emergent themes. The key ideas and the value of this review are discussed in the context of the recent shift to virtual instruction. The…
Descriptors: Educational Games, Teaching Methods, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nagashima, Tomohiro; Bartel, Anna N.; Silla, Elena M.; Vest, Nicholas A.; Alibali, Martha W.; Aleven, Vincent – Grantee Submission, 2020
Many studies have shown that visual representations can enhance student understanding of STEM concepts. However, prior research suggests that visual representations alone are not necessarily effective across a broad range of students. To address this problem, we created a novel, scaffolded form of diagrammatic self-explanation in which students…
Descriptors: Algebra, Teaching Methods, Visual Aids, Concept Formation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nicholas A. Vest; Elena M. Silla; Anna N. Bartel; Tomohiro Nagashima; Vincent Aleven; Martha W. Alibali – Grantee Submission, 2022
One pedagogical technique that promotes conceptual understanding in mathematics learners is self-explanation integrated with worked examples (e.g., Rittle-Johnson et al., 2017). In this work, we implemented self-explanations with worked examples (correct and erroneous) in a software-based Intelligent Tutoring System (ITS) for learning algebra. We…
Descriptors: Algebra, Mathematics Instruction, Intelligent Tutoring Systems, Middle School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
Ben Clarke; Nancy J. Nelson; Leanne Ketterlin Geller; Derek Kosty; Keith Smolkowski; Taylor Lesner; David Furjanic; Hank Fien – Grantee Submission, 2022
This pilot study examined the promise of a Tier 2 sixth grade intervention program for students at-risk for difficulties in mathematics. The study utilized a quasi-experimental design. The final sample included 112 students in treatment (Promoting Algebra Readiness) and 86 students in control (standard district practice) conditions. The Promoting…
Descriptors: Grade 6, Fractions, Mathematics Instruction, At Risk Students
Previous Page | Next Page ยป
Pages: 1  |  2  |  3