A Problem-Sorting Task Detects Changes in Undergraduate Biological Expertise over a Single Semester.

Calls for undergraduate biology reform share similar goals: to produce people who can organize, use, connect, and communicate about biological knowledge. Achieving these goals requires students to gain disciplinary expertise. Experts organize, access, and apply disciplinary knowledge differently than novices, and expertise is measurable. By asking introductory biology students to sort biological problems, we investigated whether they changed how they organized and linked biological ideas over one semester of introductory biology. We administered the Biology Card Sorting Task to 751 students enrolled in their first or second introductory biology course focusing on either cellular-molecular or organismal-population topics, under structured or unstructured sorting conditions. Students used a combination of superficial, deep, and yet-uncharacterized ways of organizing and connecting biological knowledge. In some cases, this translated to more expert-like ways of organizing knowledge over a single semester, best predicted by whether students were enrolled in their first or second semester of biology and by the sorting condition completed. In addition to illuminating differences between novices and experts, our results show that card sorting is a robust way of detecting changes in novices' biological expertise-even in heterogeneous populations of novice biology students over the time span of a single semester.

Integrating Concepts in Biology Textbook Increases Learning: Assessment Triangulation Using Concept Inventory, Card Sorting, and MCAT Instruments, Followed by Longitudinal Tracking.

The purpose of this study was to examine the educational impact of an intervention, the inquiry-focused textbook Integrating Concepts in Biology (ICB), when used in a yearlong introductory biology course sequence. Student learning was evaluated using three published instruments: 1) The Biology Concept Inventory probed depth of student mastery of fundamental concepts in organismal and cellular topics when confronting misconceptions as distractors. ICB students had higher gains in all six topic categories (+43% vs. peers overall, p < 0.01). 2) The Biology Card Sorting Task assessed whether students organized biological ideas more superficially, as novices do, or based on deeper concepts, like experts. The frequency with which ICB students connected deep-concept pairs, or triplets, was similar to peers; but deep understanding of structure/function was much higher (for pairs: 77% vs. 25%, p < 0.01). 3) A content-focused Medical College Admission Test (MCAT) posttest compared ICB student content knowledge with that of peers from 15 prior years. Historically, MCAT performance for each semester ranged from 53% to 64%; the ICB cohort scored 62%, in the top quintile. Longitudinal tracking in five upper-level science courses the following year found ICB students outperformed peers in physiology (85% vs. 80%, p < 0.01).

How to build a course in mathematical-biological modeling: content and processes for knowledge and skill.

Biological problems in the twenty-first century are complex and require mathematical insight, often resulting in mathematical models of biological systems. Building mathematical-biological models requires cooperation among biologists and mathematicians, and mastery of building models. A new course in mathematical modeling presented the opportunity to build both content and process learning of mathematical models, the modeling process, and the cooperative process. There was little guidance from the literature on how to build such a course. Here, I describe the iterative process of developing such a course, beginning with objectives and choosing content and process competencies to fulfill the objectives. I include some inductive heuristics for instructors seeking guidance in planning and developing their own courses, and I illustrate with a description of one instructional model cycle. Students completing this class reported gains in learning of modeling content, the modeling process, and cooperative skills. Student content and process mastery increased, as assessed on several objective-driven metrics in many types of assessments.