Data Collection Methods

This study utilized benchmark assessments to gauge student comprehension of TPRS stories through speech and written responses on quizzes and tests. These assessments included selected- response comprehension measures and open-ended questions that allowed students to give personal opinions and reflections. These constructed-response questions provided qualitative data.

Informal checks for understanding were utilized to determine the student’s comprehension of the material. I documented anecdotal notes from these assessments in a journal, which was analyzed for patterns that would signify any nonverbal expressions of comprehension. For example, if I noticed students interacting with the story through a non-verbal head nod or gesture.

I selected these data collection methods because of the various ways to comprehend Spanish presented in TPRS format. Using multiple measures allowed me to triangulate data sources and account for various factors when analyzing student comprehension data. From the data, I evaluated the level of reading competency each student demonstrated in the target language.

One of the biggest challenges in my study was aligning TPRS stories with the district curriculum. Because TPRS is derived from student interests and real-world contexts, I gathered information about my students' interests, reviewed the required district curriculum for each course, and formulated stories and lessons through collaborating with other professionals and accessing online resources.