For students entering college with dreams of becoming scientists or engineers, the introductory math and science courses serve as pivotal checkpoints. These courses often determine the path students will take, whether they stay in STEM fields or pivot to different disciplines. Unfortunately, these gateway classes can become obstacles, deterring many from continuing in STEM professions.
“Students are going to need to understand how modern technologies work, and STEM gateway courses are the beginning of that process,” stated
David Yaron(opens in new window)
, a
learning science(opens in new window)
researcher and
chemistry professor(opens in new window)
at Carnegie Mellon University’s
Mellon College of Science(opens in new window)
. “Whether or not students end up in STEM jobs, developing quantitative and technical skills will be important.”
Researchers at Carnegie Mellon University (CMU) are leveraging AI technology to support students in overcoming the challenges of introductory math courses. In an era where expanding the STEM workforce is crucial, CMU’s learning science experts believe the key lies not only in recruiting more STEM students but also in enhancing traditional education with technological advancements.
“Students come in with widely varying preparation,” Yaron explained. “Some students are seeing the content in an intro math or science course for the second or third time, and some are seeing it for the first time. Our data show that, with our courseware, students who start behind often learn just as effectively, sometimes even at a faster rate than their better-prepared peers. The challenge is that they begin farther back, so they need more time and sustained practice to close the gap.”
Addressing Learning Disparities in Introductory Math
These learning gaps can be significant, with about one-third of U.S. college students being hindered by these introductory courses. The Mathematical Association of America identifies introductory math as the most significant barrier.
To support students during this critical phase, CMU established
Learnvia(opens in new window)
, a nonprofit learning collaborative offering free AI-enabled courseware and research-backed instructional support to enhance student success across various institutions.
“For decades, Carnegie Mellon University has served as a global leader at the intersection of AI, research innovation, and learning science,” CMU President
Farnam Jahanian(opens in new window)
said. “With support from the Gates Foundation, Learnvia is using this expertise to develop cutting-edge, AI-enabled courseware that is designed to improve outcomes at scale and help students across the nation not just endure gateway college courses but thrive in them.”
Currently, Learnvia serves numerous higher education institutions, ranging from community colleges to large public universities. The initiative aims to bolster economic growth through a skilled and adaptable talent pipeline, enhancing the foundational skills of students nationwide.
Calculus I is the first course piloted by the initiative, with plans to include Quantitative Reasoning, Pre-Calculus, Calculus II, and Calculus III in the next three years. Participating students engage in instructor-led classes, complete assignments, and receive AI-driven feedback to aid their understanding and reduce course dropouts.
Advancements in Educational Technology
Carnegie Mellon University’s legacy of learning science innovation is embodied in Learnvia. The university’s Open Learning Initiative has been enhancing student outcomes through innovative courseware in various subjects such as physics, statistics, and biology for over two decades.
“If we want to serve today’s learners well, innovation has to be grounded in science,” stated Norman Bier, executive director of CMU’s
Open Learning Initiative(opens in new window)
,
The Simon Initiative(opens in new window)
, and Learnvia. “We treat every course as a hypothesis about how students learn best. We design for interaction, feedback, and practice, and then we study the data to continuously improve. After 25 years, the evidence is clear: when instruction is interactive and feedback-rich, students succeed.”
Students receive immediate feedback on their coursework, ensuring they remain engaged and supporting their learning journey. Researchers analyze student interactions to refine and improve the courses. Since the initiative began, students have demonstrated improved learning outcomes, mastering content more efficiently and receiving timely feedback.
Customized learning experiences also help level the playing field in introductory courses like chemistry.
REAL CHEM(opens in new window)
, a collaboration between CMU and Arizona State University, builds on the Open Learning Initiative’s success by integrating in-person teaching and online instruction to enhance learning and outcomes.
“A student gets immediate feedback if they get something wrong,” Yaron said. “Students are always working on something that they really need to learn—not something they already know. The materials are designed to do that and they do it by asking the student to do something, and if they don’t know how, immediately telling them how to do it and giving them a chance to do it again.”
Gizelle Sherwood(opens in new window)
, director of undergraduate studies and a teaching professor in the Department of Chemistry, shared how REAL CHEM has positively impacted her classes. “It didn’t really matter what high school you attended,” Sherwood said. “It didn’t matter whether you did or did not take AP Chemistry. Your past experiences don’t matter. I’ve had kids with very little background in chemistry and others with extensive experiences. Assigning REAL CHEM as pre-reading for students has now ensured that all of my students are entering the classroom feeling that they are on equal footing.”
According to Sherwood, students utilizing the platform demonstrate better performance on exams. Researchers are optimistic that the success seen in these initiatives will encourage students to remain in STEM fields, ultimately impacting their decision to pursue careers in critical STEM areas.
“The evidence is clearly established—we know we can improve outcomes through careful learning science and technology,” Bier stated. “Now we are focused on impact at scale. The real opportunity is ensuring that 10 years from today, we’re no longer talking about a gateway math crisis because we’ve made success the norm rather than the exception.”
Read More Here
