Current federal policy requires that students with disabilities participate in large-scale assessments and be included in schools' scores for adequate yearly progress. Students with significant cognitive disabilities may participate in an alternate assessment with alternate achievement standards, but these standards must be linked to grade-level content and promote access to the general curriculum. Because most research with this population has focused on nonacademic life skills, few guidelines exist for teaching and assessing skills that are linked to grade-level content. One challenge to developing research and practice in grade-linked academic content for students with significant cognitive disabilities is the absence of a clear conceptual framework. This article—developed by a team of special education, curriculum content, and measurement experts—proposes a conceptual definition and criteria for linking instruction and assessment to grade-level academic content.

We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Dissertation studies earned an average of 64.4% of the possible quality points across all methodology types, compared to studies in journals that averaged 47.2%. Doctoral students as well as their mentors can play a pivotal role in increasing the quality of research in this area by attending to the QF categories as they plan, design, implement, and complete their dissertation studies. These results imply that mathematics education technology researchers should demand greater clarity in published papers through the preparation of their own manuscripts and how they review the works of others.