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Priti Oli; Rabin Banjade; Arun Balajiee Lekshmi Narayanan; Peter Brusilovsky; Vasile Rus – Grantee Submission, 2023
Self-efficacy, or the belief in one's ability to accomplish a task or achieve a goal, can significantly influence the effectiveness of various instructional methods to induce learning gains. The importance of self-efficacy is particularly pronounced in complex subjects like Computer Science, where students with high self-efficacy are more likely…
Descriptors: Computer Science Education, College Students, Self Efficacy, Programming

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)
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
Hildenbrand, Lena; Wiley, Jennifer – Grantee Submission, 2021
Many studies have demonstrated that testing students on to-be-learned materials can be an effective learning activity. However, past studies have also shown that some practice test formats are more effective than others. Open-ended recall or short answer practice tests may be effective because the questions prompt deeper processing as students…
Descriptors: Test Format, Outcomes of Education, Cognitive Processes, Learning Activities
Leite, Walter L.; Kuang, Huan; Shen, Zuchao; Chakraborty, Nilanjana; Michailidis, George; D'Mello, Sidney; Xing, Wanli – Grantee Submission, 2022
Previous research has shown that providing video recommendations to students in virtual learning environments implemented at scale positively affects student achievement. However, it is also critical to evaluate whether the treatment effects are heterogeneous, and whether they depend on contextual variables such as disadvantaged student status and…
Descriptors: Algebra, Teaching Methods, Mathematics Instruction, COVID-19
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
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
Jee, Benjamin D.; Anggoro, Florencia K. – Grantee Submission, 2019
Models are central to the practice and teaching of science. Yet people often fail to grasp how scientific models explain their observations of the world. Realizing the explanatory power of a model may require aligning its relational structure to that of the observable phenomena. The present research tested whether "relational…
Descriptors: Scaffolding (Teaching Technique), Children, Comprehension, Models
Cromley, Jennifer G.; Perez, Tony; Kaplan, Avi; Dai, Ting; Mara, Kyle; Balsai, Michael J. – Grantee Submission, 2020
Students' success in undergraduate STEM courses requires effective studying behavior, but also the motivation to enact it. Promoting students' achievement in STEM has commonly focused on either study strategies (cognitive) or motivational interventions; we hypothesized that combinations of these would be more effective. Using a Learning Management…
Descriptors: Undergraduate Students, STEM Education, Academic Achievement, Study Habits
Colby S. Hall – Grantee Submission, 2016
Skill in generating inferences predicts reading comprehension for students in the elementary and intermediate grades even after taking into account word reading, vocabulary knowledge, and cognitive ability (Cain et al., "Journal of Educational Psychology, 96," 671-81, 2004; Kendeou et al., "Journal of Research in Reading, 31,"…
Descriptors: Inferences, Reading Instruction, Reading Difficulties, Reading Comprehension
Booth, Julie L.; Oyer, Melissa H.; Pare-Blagoev, Juliana; Elliot, Andrew J.; Barbieri, Christina; Augustine, Adam; Koedinger, Kenneth R. – Grantee Submission, 2015
Math and science textbook chapters invariably supply students with sets of problems to solve, but this widely used approach is not optimal for learning; instead, more effective learning can be achieved when many problems to solve are replaced with correct and incorrect worked examples for students to study and explain. In the present study, the…
Descriptors: Algebra, Mathematics Instruction, Problem Solving, Prior Learning
Fyfe, Emily R. – Grantee Submission, 2016
Homework is transforming at a rapid rate with continuous advances in educational technology. Computer-based homework, in particular, is gaining popularity across a range of schools, with little empirical evidence on how to optimize student learning. The current aim was to test the effects of different types of feedback on computer-based homework.…
Descriptors: Algebra, Homework, Feedback (Response), Middle School Students
Barbieri, Christina; Booth, Julie L. – Grantee Submission, 2016
Middle school algebra students (N = 125) randomly assigned within classroom to a Problem-solving control group, a Correct worked examples control group, or an Incorrect worked examples group, completed an experimental classroom study to assess the differential effects of incorrect examples versus the two control groups on students' algebra…
Descriptors: Middle School Students, Algebra, Secondary School Mathematics, Randomized Controlled Trials