I am happy to accommodate and work with learners on the spectrum.

The ACT Science section tests data interpretation far more than scientific knowledge, but students with science backgrounds still have an edge in parsing unfamiliar experiments quickly. Danielle is a first-year med student at Pitt with a biology degree from Tufts, so conflicting-viewpoints passages and complex data tables are second nature to her. She scored a 36 composite and teaches students to read graphs before reading text — a simple shift that consistently saves time.

I am in my second year at MIT studying mathematics, and I am currently doing a research project in Spectral Graph Theory. I have been a tutor since my junior year in high school, and I enjoy teaching all levels of math; everything from pre-algebra through calculus and linear algebra! I focus primarily on making sure that the definitions and processes given in class make intuitive sense, so that math can begin to feel like second nature.

The ACT Science section barely tests science knowledge — it's really an exercise in reading graphs, interpreting experimental setups, and comparing competing hypotheses under time pressure. Olivia's chemical engineering training gave her years of practice doing exactly that with real data sets. She scored a 34 ACT composite and walks students through a data-first approach that makes even unfamiliar topics manageable.

Treating ACT Science as a data-interpretation exam rather than a content test is the single biggest unlock for most students. Mary's neuroscience training at Pitt means she reads experimental designs and conflicting-viewpoints passages the way a researcher would — identifying variables, controls, and trends in graphs before touching a single question. Rated 4.8 by students.

The ACT Science section looks intimidating, but it's really about reading graphs, interpreting experimental setups, and comparing competing hypotheses — skills that don't require advanced science knowledge. Naomi tackles it as a data-literacy exercise, teaching students to extract trends from figures before even glancing at the answer choices. Her 35 ACT composite shows she's mastered the section herself.

Most students panic when they see the ACT Science section, but it's really a data interpretation test disguised as science. Zora teaches students to read graphs, compare experimental setups, and spot trends without getting bogged down in unfamiliar terminology. Her 35 ACT composite and biology background mean she can also clarify the actual science when it does matter.

The ACT Science section is really a data interpretation exam disguised as science, and Zach's engineering training at Northwestern makes him particularly good at teaching students to read graphs, tables, and conflicting viewpoints quickly. He breaks each passage type into a repeatable strategy so students spend less time confused by jargon and more time answering questions correctly. His 35 ACT composite speaks to how well these strategies work in practice.

I am a third year student at Georgia Institute of Technology studying Biomedical Engineering with a minor in Computer Science. I love teaching STEM classes. I have experience teaching elementary, middle, high school, and college students. I love getting to know my students, learning their learning style, and making the course content fun and engaging.

I am a current Sophomore Mechanical Engineering student at Messiah College in Mechanicsburg, PA. I graduated Upper St. Clair High School in 2018, and took just about every AP math and science course there is. I have extensive knowledge in these subjects, and enjoy helping others to understand them! In my free time, I enjoy running cross country and track, playing percussion, and hanging out with my friends!

I'm currently in a General Practice Residency in Washington, DC.

The ACT Science section is really a data-interpretation exam disguised as science, and most students lose points not because they lack content knowledge but because they read too much of each passage. Matthew, who scored a 34 ACT, teaches a graph-first approach: identify variables, read axes, and answer questions before getting bogged down in experimental descriptions. That method turns a stressful section into one of the easiest to improve.