Troubleshooting mathematical instruction that includes computation
Morgan Fonley, Alma College
This essay page from the 2018 MATLAB Workshop explores challenges in integrating computation into undergraduate mathematics instruction, emphasizing student variability in computational background, ineffective group dynamics, and the need for better scaffolding, troubleshooting strategies, and textbooks that support computational learning across course levels. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

The programming bump in the night, what are we afraid of?
Jeremy Deans, University of Southern Mississippi
An educational essay page from the SERC Pedagogic Service discussing strategies for overcoming student anxiety around programming and mathematics in geoscience education, emphasizing the importance of integrating computational tools like MATLAB to build student confidence and competence through practical application, supportive teaching methods, and iterative practice across the curriculum. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Computation in Civil Engineering
Julie Fogarty, California State University-Sacramento
An academic essay page from a 2018 MATLAB workshop discusses integrating computational methods into civil engineering education, detailing how students use MATLAB to implement structural analysis techniques like the direct stiffness and finite element methods, bridging theoretical knowledge with practical software skills while addressing challenges in modeling and result interpretation. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Computation and Assessment
Michael Groves, California State University-Fullerton
This essay page from the 2018 MATLAB Workshop discusses integrating computational methods into chemistry education, focusing on challenges in teaching and assessing computational skills in quantum mechanics and thermodynamics, strategies for classroom implementation, and addressing academic integrity, authored by Michael Groves of California State University-Fullerton. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Specifications-Based Grading for Assessing Student Learning
Kristi Closser, California State University-Fresno
This webpage is an academic essay from the 2018 MATLAB Workshop hosted by SERC, detailing a faculty member's implementation of specifications-based (mastery) grading in chemistry courses, emphasizing its benefits for student learning, reduced anxiety, improved office hour engagement, and applicability to computation-focused classes through structured reassessment, EMRN rubrics, and incentive-based retake systems. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using Mastery Learning Ideas to Assess Student Work
Thomas Kelley, Northeastern University
Educational essay page from a 2018 MATLAB workshop discussing mastery learning-based assessment strategies in coding education, emphasizing iterative feedback, resubmission policies, and evaluation criteria beyond functional output to develop robust programming skills and student engagement. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Incorporating MATLAB in Applied Mathematics Courses
Dong Zhou, California State University-Los Angeles
This is an essay page from the Teaching Computation with MATLAB workshop series, detailing an instructor's experience integrating MATLAB into an upper-division applied mathematics course, including pedagogical strategies, student preparation challenges, assignment design combining theory and programming, and reflections on teaching computational mathematics. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Never Too Late: Developing Quantitative Thinking Skills in an Upper-Division Biology Course
Michael Wright, California State University-Sacramento
An essay page from the Teaching Computation with MATLAB workshop series presents a biology educator's pedagogical approach to fostering quantitative thinking in upper-division students by de-emphasizing mathematical formalism initially, using conceptual grounding—such as forces in the Nernst Equation—to build intuition before introducing equations, thereby increasing student confidence in applying quantitative reasoning to biological problems. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

MATLAB as a Tool for Teaching and Learning of High Performance Computing Applications
Sani Abba, Abubakar Tafawa Balewa University
This webpage is an academic essay from the Teaching Computation with MATLAB workshop series, detailing the use of MATLAB as an instructional tool for teaching high-performance computing applications in engineering and computer science education, emphasizing pedagogical strategies, student challenges, and real-world problem-solving. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

"The Gentle Art of Data Science:" Increasing comfort with computation
Andrew Fischer, university of tasmania
This essay page from the 2018 MATLAB Workshop discusses the development of "The Gentle Art of Data Science" course at the University of Tasmania, emphasizing computational thinking—decomposition, pattern recognition, abstraction, and algorithms—using MATLAB LiveScript to build student confidence in data science across disciplines. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.