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Allison Liu; Jenny Yun-Chen Chan; Ji-Eun Lee; Lauren E. Decker-Woodrow; Shihfen Tu; Adam Sales; Craig A. Mason – Grantee Submission, 2022
The current study investigated how prior knowledge moderated the effects of three educational technologies ("From Here to There," "DragonBox 12+," and problem sets in "ASSISTments") on seventh-grade students' later algebraic knowledge. Pretest scores only moderated effects of "From Here to There," with…
Descriptors: Prior Learning, Program Effectiveness, Game Based Learning, Intervention
Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
Jenny Yun-Chen Chan; Chloe Byrne; Janette Jerusal; Allison S. Liu; Justin Roberts; Erin Ottmar – Grantee Submission, 2023
Prior research has shown that game-based learning tools, such as DragonBox 12+, support algebraic understanding and that students' in-game progress positively predicts their later performance. Using data from 253 seventh-graders (12-13 years old) who played DragonBox as a part of technology intervention, we examined (a) the relations between…
Descriptors: Game Based Learning, Educational Games, Problem Solving, Mathematics Achievement
Janice D. Gobert; Haiying Li; Rachel Dickler; Christine Lott – Grantee Submission, 2024
An intelligent tutoring system (ITS, henceforth) is currently defined as a computer system that delivers personalized instruction to students by using computational techniques to evaluate the learner in a variety of ways, including (but not limited to) their prior knowledge, competency/skill levels, motivation, and affective states. ITSs are…
Descriptors: Artificial Intelligence, Scaffolding (Teaching Technique), Computer Science Education, Teaching Methods
Alisionna Iannacchione; Erin Ottmar; Vy Ngo; Craig A. Mason; Jenny Yun-Chen Chan; Hannah Smith; Kathryn C. Drzewiecki; Stacy T. Shaw – Grantee Submission, 2022
Prior research has shown negative relations between math anxiety and math performance. We posit that one potential pathway through which math anxiety influences performance of math equivalencies is through help seeking behavior during learning. Here, we examine whether middle school students' behavior, specifically the frequency of hint requests,…
Descriptors: Middle School Students, Mathematics Anxiety, Prior Learning, Prompting
Scaffolded Self-Explanation with Visual Representations Promotes Efficient Learning in Early Algebra
Tomohiro Nagashima; Anna N. Bartel; Stephanie Tseng; Nicholas A. Vest; Elena M. Silla; Martha W. Alibali; Vincent Aleven – Grantee Submission, 2021
Although visual representations are generally beneficial for learners, past research also suggests that often only a subset of learners benefits from visual representations. In this work, we designed and evaluated anticipatory diagrammatic self- explanation, a novel form of instructional scaffolding in which visual representations are used to…
Descriptors: Visual Aids, Scaffolding (Teaching Technique), Mathematics Instruction, Algebra

Amy Adair – Grantee Submission, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Scaffolding (Teaching Technique)
Lee, Ji-Eun; Hornburg, Caroline Byrd; Chan, Jenny Yun-Chen; Ottmar, Erin – Grantee Submission, 2021
We investigated the effects of proximal grouping of numbers, problem-solving goals to make 100, and prior knowledge on students' solution strategies in an online mathematics game. Logistic regression on 857 problem-level data points from 227 middle-school students showed that students were more likely to use productive solution strategies on…
Descriptors: Mathematics Instruction, Teaching Methods, Middle School Students, Computer Games
Robert Murphy; Jeremy Roschelle; Mingyu Feng; Craig A. Mason – Grantee Submission, 2020
We report on a randomized controlled trial of an intervention that leverages the availability of laptops for all public-school students in the state of Maine. The intervention, called "ASSISTments," provides feedback to students as they solve mathematics homework problems and automatically prepares reports for teachers about student…
Descriptors: Intervention, Program Effectiveness, Access to Computers, Laptop Computers
Guerrero, Tricia A.; Wiley, Jennifer – Grantee Submission, 2021
Past research has suggested that there may be benefits in learning from expository science text when students study with the expectation that they will need to teach another student. The present experiments were designed to extend prior work by testing if an effect would be seen on both immediate tests (similar to those used in most prior studies)…
Descriptors: Teaching Methods, Science Instruction, Peer Teaching, Expectation
Chan, Jenny Yun-Chen; Lee, Ji-Eun; Mason, Craig A.; Sawrey, Katharine; Ottmar, Erin – Grantee Submission, 2021
Understanding equivalence is fundamental to STEM disciplines, yet misunderstandings and misconceptions inhibit students from fully appreciating or leveraging the concept. Using the game-based algebraic notation system, From Here to There! (FH2T), students explore ideas of equivalence by dynamically transforming expressions or equations among…
Descriptors: Middle School Students, Mathematics Instruction, Prior Learning, Teaching Methods
Nathan, Mitchell J.; Alibali, Martha W. – Grantee Submission, 2021
We present an embodied theory of transfer as applied to mathematical ideas. Project-based learning (PBL) offers important sites for investigating transfer because students and teachers must track mathematical invariant relations that are embedded in complex settings where knowledge and information is distributed and extended across various…
Descriptors: Mathematics Instruction, Student Projects, Active Learning, Transfer of Training
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
Teresa M. Ober; Maxwell R. Hong; Matthew F. Carter; Alex S. Brodersen; Daniella Rebouças-Ju; Cheng Liu; Ying Cheng – Grantee Submission, 2021
We examined whether students were accurate in predicting their test performance two testing contexts (low-stakes and high-stakes). The sample comprised U.S. high school students enrolled in an advanced placement (AP) statistics course during the 2017-2018 academic year (N=209; M[subscript age]=16.6 years). We found that even two months before…
Descriptors: High School Students, Self Evaluation (Individuals), Student Attitudes, High Stakes Tests
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