Limits...
Improvement in Student Data Analysis Skills after Out-of-Class Assignments †

View Article: PubMed Central - PubMed

AUTOMATICALLY GENERATED EXCERPT
Please rate it.

One of the recommendations of reports such as the Vision and Change report is to expose undergraduate biology students to the process of science throughout the curriculum, including reading primary literature and analyzing experimental data... While biology majors are the primary focus of this transformation, biology courses are also foundational for several other majors, including allied health majors... These students will also benefit from increased exposure to data analysis, both to increase their scientific literacy as citizens and to support careers in allied health professions... Giving students out-of-class assignments that require analysis of data from the primary literature is one way to introduce this skill without taking substantial time away from other course goals and content... The current study used a small number of out-of-class assignments to build student skills in understanding and analyzing data figures from the primary literature... The effectiveness of this approach was assessed using a pre- and posttest of student data analysis skills... Students in our allied health microbiology class are typically second- or third-year pre-nursing students, with one nonmajors general biology and one nonmajors general chemistry class as prerequisites... No class time was used to discuss the assignments once they were handed out, but students were encouraged to seek help from the instructor outside of class with any questions... Students typically scored well (≥71% for all three questions across all three semesters) on these questions in both the pre- and the posttest... Incorporating an additional pedagogical goal into a course often presents a challenge: if there is no additional time added to the course, the instructor must either take time away from other course goals or use strategies that can address the new goal without taking a significant amount of course time... This study provides evidence that a small number of assignments involving data analysis can result in measurable gains in student skills in this area... In addition, the data analysis test designed for this study is challenging for students at this level, but can measure improvement in data analysis skills related to the assignments used.

No MeSH data available.


Data analysis test scores improve from pretest to posttest. Mean pre- and posttest percentage scores on the 15-question data analysis test. Data from 3 different semesters are shown. n = 51 to 75 respondents in each group. *p < 0.05 versus pretest scores for the same semester.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
getmorefigures.php?uid=PMC5134952&req=5

f1-jmbe-17-466: Data analysis test scores improve from pretest to posttest. Mean pre- and posttest percentage scores on the 15-question data analysis test. Data from 3 different semesters are shown. n = 51 to 75 respondents in each group. *p < 0.05 versus pretest scores for the same semester.

Mentions: Across three different semesters, mean student scores on the data analysis pretest were near 50% (Fig. 1). Mean posttest scores improved by 7.9 to 9.3% (p < 0.05 for each semester by paired t-test). Figure 2 shows the pre- and posttest scores on the 15 individual questions for a typical semester (fall 2010). Similar trends were observed in the individual question scores from the other semesters. Interestingly, the questions that consistently showed the greatest increase in correct responses were one question testing higher-level skills in predicting an appropriate follow-up experiment and two questions involving correct interpretation of a flow diagram. Both of these types of questions directly related to the types of data and questions asked in the assignments. Several questions showed little change in the number of correct responses between the pre- and posttest; most notably questions 1 to 3, which tested students’ understanding of simple line graphs. Students typically scored well (≥71% for all three questions across all three semesters) on these questions in both the pre- and the posttest.


Improvement in Student Data Analysis Skills after Out-of-Class Assignments †
Data analysis test scores improve from pretest to posttest. Mean pre- and posttest percentage scores on the 15-question data analysis test. Data from 3 different semesters are shown. n = 51 to 75 respondents in each group. *p < 0.05 versus pretest scores for the same semester.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC5134952&req=5

f1-jmbe-17-466: Data analysis test scores improve from pretest to posttest. Mean pre- and posttest percentage scores on the 15-question data analysis test. Data from 3 different semesters are shown. n = 51 to 75 respondents in each group. *p < 0.05 versus pretest scores for the same semester.
Mentions: Across three different semesters, mean student scores on the data analysis pretest were near 50% (Fig. 1). Mean posttest scores improved by 7.9 to 9.3% (p < 0.05 for each semester by paired t-test). Figure 2 shows the pre- and posttest scores on the 15 individual questions for a typical semester (fall 2010). Similar trends were observed in the individual question scores from the other semesters. Interestingly, the questions that consistently showed the greatest increase in correct responses were one question testing higher-level skills in predicting an appropriate follow-up experiment and two questions involving correct interpretation of a flow diagram. Both of these types of questions directly related to the types of data and questions asked in the assignments. Several questions showed little change in the number of correct responses between the pre- and posttest; most notably questions 1 to 3, which tested students’ understanding of simple line graphs. Students typically scored well (≥71% for all three questions across all three semesters) on these questions in both the pre- and the posttest.

View Article: PubMed Central - PubMed

AUTOMATICALLY GENERATED EXCERPT
Please rate it.

One of the recommendations of reports such as the Vision and Change report is to expose undergraduate biology students to the process of science throughout the curriculum, including reading primary literature and analyzing experimental data... While biology majors are the primary focus of this transformation, biology courses are also foundational for several other majors, including allied health majors... These students will also benefit from increased exposure to data analysis, both to increase their scientific literacy as citizens and to support careers in allied health professions... Giving students out-of-class assignments that require analysis of data from the primary literature is one way to introduce this skill without taking substantial time away from other course goals and content... The current study used a small number of out-of-class assignments to build student skills in understanding and analyzing data figures from the primary literature... The effectiveness of this approach was assessed using a pre- and posttest of student data analysis skills... Students in our allied health microbiology class are typically second- or third-year pre-nursing students, with one nonmajors general biology and one nonmajors general chemistry class as prerequisites... No class time was used to discuss the assignments once they were handed out, but students were encouraged to seek help from the instructor outside of class with any questions... Students typically scored well (≥71% for all three questions across all three semesters) on these questions in both the pre- and the posttest... Incorporating an additional pedagogical goal into a course often presents a challenge: if there is no additional time added to the course, the instructor must either take time away from other course goals or use strategies that can address the new goal without taking a significant amount of course time... This study provides evidence that a small number of assignments involving data analysis can result in measurable gains in student skills in this area... In addition, the data analysis test designed for this study is challenging for students at this level, but can measure improvement in data analysis skills related to the assignments used.

No MeSH data available.