Historically the link between assessment data, IEP objectives, and instruction has been weak and cause for concern for educators, especially as accountability for schools and teachers has increased. In addition, IEP objectives have suffered from being too abstract or overly specific, possibly compounding the gap between objectives and instructional practices. Recently, focus has also emphasized the need for teachers to make data-based instructional decisions. In order to increase the data-based decision making of teachers, the first step may be to train teachers to interpret curriculum-based measurement (CBM) data and translate these data into objective, measurable, and technically adequate objectives. A training package including modeling, practice, and performance feedback was used to instruct special education teachers to use CBM data to develop individualized, observable, and measurable educational objectives. A multiple baseline design across teachers was used to demonstrate that the treatment package resulted in teachers correctly using CBM data to formulate students' instructional goals and objectives. These results revealed that accurate use of CBM information was maintained without the treatment package and from simulated to actual student data.