<![CDATA[Calculus requires students to understand the relationship between symbolic and graphical representations of functions, making computational technology such as Maple necessary to support concept exploration and visualization. This community service activity aimed to optimize the use of Maple software in solving functions and generating and interpreting function graphs through calculus computing training for first-semester students of the Tadris Mathematics Study Program, FTK UIN Mataram. The activity employed a descriptive quantitative design with a pre-experimental one-group pretest-posttest design, involving 87 students from four classes selected through total sampling, and was carried out in three stages: pre-implementation, implementation, and evaluation, using interactive lectures, live coding demonstrations, hands-on practice, and an error-based learning approach. The instruments were validated by two experts in mathematics education, with a minimum mastery criterion (KKM) of ? 70. The pre-test results showed that students' initial abilities were low and uneven, with an average of 67.36 and classical mastery of only 15%; Class D had no students achieving mastery (0%) and Class C had only 1 student achieving mastery (4%). After the training, the post-test average increased to 85.27 with classical mastery of 91% (79 out of 87 students); Class B reached 100%, followed by Class A (95%), Class C (91%), and Class D (79%). The greatest improvement occurred in Classes C and D, which previously had the lowest achievement. Student responses were positive, with understanding achievement ranging from 68.37% to 87.22%, although syntax writing remained an area needing improvement. This activity concludes that Maple-assisted calculus computing training with an error-based learning approach effectively improves students' conceptual understanding and procedural skills, and recommends providing syntax cheat sheets, independent practice, extended duration, advanced module development, integration of the activity into formal courses, and a quasi-experimental design with a control group.]]>
Copyrights © 2026
