The present study was conducted in order to investigate the implementation of the self-regulated learning component of goal-setting in the elementary education classroom. Essential questions posed addressed the reasoning behind why classrooms may not implement goal-setting despite the proven benefits. Also studied was the application of goal-setting within the classroom and what that may look like for educators. Finally, student preferences were observed and taken into consideration during implementation in order to help the study benefit them as much as possible. Participants included 29 fourth grade students at Rover Elementary School. The study was conducted over a six-week period by a student teacher that was completing their Senior Residency in this particular classroom. During study implementation, students were introduced to the concept of goal-setting. Using a series of goal-setting documents, students practiced goal-setting in, first, a Reader's Workshop period then, secondly, in a Writing Block. It was concluded that goal-setting may not be implemented in the classroom due to the amount of time necessary to complete the practice as well as the possibility that educators may not have the knowledge needed to properly make use of the practice. The application of the practice brings to light the need for students to include the setting of process goals in addition to product goals. Through the use of an exit survey, student preferences revealed that initially, they would rather have pre-written process goals to aim towards achieving rather than having to develop their own. In the future, it is suggested to conduct this study over a longer period of time in order to evaluate if students can develop their own goal-setting strategies.

This research study looks at the design and development of an online concussion awareness education module. The Keep Your Head in the Game: Concussion Awareness Training for High School Athletes, or Brainbook, is a stand-alone e-learning module designed to run for fifty minutes and to be highly interactive using short video clips with associated comments as well as polling features to allow students to experience the content as they are learning. It was designed to provide the instruction through a framework that resembles social networking to increase relevance and engagement to the high school student-athlete population it was created for. The content is delivered through the presentation of an online conversation or a "feed" where characters with varying attitudes towards concussion, with contributions from a doctor and professional athlete, discuss concussions from their experiences and beliefs. The instructional goals of the module are to increase the athletes understanding and personal application of the causes and effects of concussions, and to motivate a change in attitude and behavior related to the perception, recognition, and care of head injuries. The design and development of this online educational module followed the tenets of design and development research as determined by Richey and Klein (2007), where the tasks of completing the design and development of the product were combined with studying the process. The study focused on what could be learned during the phases of design and development, identifying challenges that were encountered designing education that resembles social networking, testing the effectiveness of the module in relation to meeting the instructional objectives, and creating guidelines and best practices that contribute to the field of instructional design.

This design and development project was found to be a success by the design team, the client, and outside entities. Findings of the study include a breakdown of the most impactful decisions made by the design team in the design and development process, the results of the team member and client interviews to provide additional insight into the process, and results from the student athlete post-module design and attitude surveys informing if attitude change indeed occurred as a result of this educational intervention. Brainbook also received much coverage in the media and has progressed on to version 2.0, additional measures of success of the project.

This study empirically evaluated the effectiveness of the instructional design, learning tools, and role of the teacher in three versions of a semester-long, high-school remedial Algebra I course to determine what impact self-regulated learning skills and learning pattern training have on students' self-regulation, math achievement, and motivation. The 1st version was a business-as-usual traditional classroom teaching mathematics with direct instruction. The 2rd version of the course provided students with self-paced, individualized Algebra instruction with a web-based, intelligent tutor. The 3rd version of the course coupled self-paced, individualized instruction on the web-based, intelligent Algebra tutor coupled with a series of e-learning modules on self-regulated learning knowledge and skills that were distributed throughout the semester. A quasi-experimental, mixed methods evaluation design was used by assigning pre-registered, high-school remedial Algebra I class periods made up of an approximately equal number of students to one of the three study conditions or course versions: (a) the control course design, (b) web-based, intelligent tutor only course design, and (c) web-based, intelligent tutor + SRL e-learning modules course design. While no statistically significant differences on SRL skills, math achievement or motivation were found between the three conditions, effect-size estimates provide suggestive evidence that using the SRL e-learning modules based on ARCS motivation model (Keller, 2010) and Let Me Learn learning pattern instruction (Dawkins, Kottkamp, & Johnston, 2010) may help students regulate their learning and improve their study skills while using a web-based, intelligent Algebra tutor as evidenced by positive impacts on math achievement, motivation, and self-regulated learning skills. The study also explored predictive analyses using multiple regression and found that predictive models based on independent variables aligned to student demographics, learning mastery skills, and ARCS motivational factors are helpful in defining how to further refine course design and design learning evaluations that measure achievement, motivation, and self-regulated learning in web-based learning environments, including intelligent tutoring systems.