The purpose of this study was to investigate the impact of the mathematics anxiety treatment messages in a computer-based environment on ninth-grade students' mathematics anxiety and mathematics learning. The study also examined whether the impact of the treatment messages would be differentiated by learner's gender and by learner's prior mathematics anxiety levels (High vs. Medium vs. Low). Participants were 161 ninth-grade students, who took a required introductory algebra class in a public high school neighboring Utah State University. The learning environment was integrated with a pedagogical agent (animated human-like character) as a tutor. This study employed a pretest and posttest experimental design. Participants' mathematics anxiety was measured at the beginning and at the end of the intervention; participants' mathematics learning was measured before and after each lesson (four lessons in total). The participants were randomly assigned to work with either an agent presenting mathematics anxiety treatment messages (TR) or an agent without presenting the treatment messages (NoTR). Because of student attrition, only 128 students were included for data analysis. The results suggested that mathematics anxiety treatment messages provided by a pedagogical agent had no impact on student mathematics anxiety and mathematics learning. Second, there were no main or interaction effects of the treatment messages and learners' gender on mathematics anxiety and mathematics learning. Third, there were significant interaction effects between treatment messages and learner's prior mathematics anxiety levels only on current mathematics anxiety (p < .05). High-anxious students in the TR condition decreased their anxiety more than those in the NoTR condition. Medium-anxious students in the TR condition increased their anxiety whereas those in the NoTR condition decreased their anxiety. Low-anxious students in the TR condition did not change their anxiety whereas those in the NoTR condition increased their anxiety.

The purpose of this exploratory case study was to examine how student-to-teacher interactions encourage students to develop self-regulated learning (SRL) habits and skills. Zimmerman's social cognitive theory of SRL, which supposes a relationship between academic success and SRL, is used as a conceptual framework. The representative case is a computer-based alternative education program for students at risk of dropping out of high school in grades 10-12. The teachers worked one-on-one with students in a computer lab while the students engaged in mastery-based learning using Apex Learning Inc. digital curriculum. Five teachers responded to three questionnaires to examine how student-to-teacher interactions influenced student-to-content interactions, and students' forethought, performance, and evaluation behavior. The teachers also submitted instructional artifacts and described instructional tools, activity types, and scaffolds within the digital curriculum. After analysis of primary and secondary data, the results showed the following: Student-to-teacher interactions encouraged students to engage in forethought behaviors associated with goal setting and strategic planning; examples of performance behaviors were using the content to increase understanding, navigating the content efficiently and effectively, monitoring the use of task strategies, and developing thinking steps; and examples of evaluative behaviors were calibrating and making accurate self-judgments. The study can promote social change by helping students at-risk of dropping out of school develop SRL strategies correlated to academic achievement and high school graduation. SRL habits are transferable to everyday behaviors associated with continued employment, maintaining healthy relationships, and lifelong learning.