TY - GEN
T1 - Comparative analysis of letters and reports in an upper-division lab
AU - Ramey, Charles L.
AU - Dounas-Frazer, Dimitri R.
AU - Thacker, Beth
N1 - Funding Information:
Heather Lewandowski and the PER group at CU-Boulder for the scholastic, financial and moral support in helping this go from a thought to a reality.
Publisher Copyright:
© 2020, American Association of Physics Teachers. All rights reserved.
PY - 2020
Y1 - 2020
N2 - In redesigning the Modern Physics Lab at Strive University, we focused its purpose on developing writing skills. In doing that, we implemented the pedagogical method Letters Home, which offers students the ability to practice communication in the form of letters to experts and non-experts. Students were additionally tasked with writing traditional lab reports. This case study investigates 6 students’ completion of 6 writing assignments (letters and reports) to a real audience. We used the AAPT guidelines to develop a qualitative coding scheme with 8 categories, and we used a linguistic analysis software program called LIWC to evaluate the assignments’ authenticity, clout, tone, and analytical thinking. Our results indicate 6 of the 8 coding categories appear in at least 50% of the data. Also, letters to experts and non-experts indicated similarities in analytical thinking. Authenticity scores were higher for letters to non-experts than experts. Overall, letters and reports are similar in terms of both the AAPT-inspired codes and linguistic dimensions probed by LIWC. The similarities between the letters and lab reports from our study may be due to our curriculum redesign.
AB - In redesigning the Modern Physics Lab at Strive University, we focused its purpose on developing writing skills. In doing that, we implemented the pedagogical method Letters Home, which offers students the ability to practice communication in the form of letters to experts and non-experts. Students were additionally tasked with writing traditional lab reports. This case study investigates 6 students’ completion of 6 writing assignments (letters and reports) to a real audience. We used the AAPT guidelines to develop a qualitative coding scheme with 8 categories, and we used a linguistic analysis software program called LIWC to evaluate the assignments’ authenticity, clout, tone, and analytical thinking. Our results indicate 6 of the 8 coding categories appear in at least 50% of the data. Also, letters to experts and non-experts indicated similarities in analytical thinking. Authenticity scores were higher for letters to non-experts than experts. Overall, letters and reports are similar in terms of both the AAPT-inspired codes and linguistic dimensions probed by LIWC. The similarities between the letters and lab reports from our study may be due to our curriculum redesign.
UR - http://www.scopus.com/inward/record.url?scp=85113915841&partnerID=8YFLogxK
U2 - 10.1119/perc.2020.pr.Ramey_II
DO - 10.1119/perc.2020.pr.Ramey_II
M3 - Conference contribution
AN - SCOPUS:85113915841
SN - 9781931024372
T3 - Physics Education Research Conference Proceedings
SP - 424
EP - 429
BT - Physics Education Research Conference, PERC 2020
A2 - Wolf, Steven
A2 - Bennett, Michael
A2 - Frank, Brian
PB - American Association of Physics Teachers
Y2 - 22 July 2020 through 23 July 2020
ER -