Automated Author ProfileKrajcik, Joseph
Michigan State University College of Education
Krajcik, Joseph
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
CESE Data Abstract Crafting Engagementin Science Environments (CESE) is an NSF funded Partnerships forInternational Research and Education (PIRE) grant (OISE-1545684) that is acollaboration between researchers at Michigan State University (co-PIs BarbaraSchneider and Joseph Krajcik) in the United States and the University ofHelsinki (co-PIs Katariina Salmela-Aro and Jari Lavonen) in Finland. Thisfive-year project seeks to increase students’ engagement in secondary physicsand chemistry through project-based units created in collaboration betweenteachers and science education experts. This project uses a single-case design (ABAB) in whichteachers’ typical instruction (baseline or A phase) is compared toproject-based instruction (treatment or B phase). Data on student affect iscollected via the experience sampling method (ESM) using smart phones equippedwith an application specifically designed for this type of data collection.Students are signaled eight times per day (three times during science class andfive times randomly between 7AM and 7PM). Students answer a short survey aboutwhere they were, what they were doing, who they were with, and a number ofquestions relating to their affect and experiences at the moment when they weresignaled. During each of the four phases of the ABAB single-case design, eachstudent was signaled for three days. Data collected using the ESM during the spring of 2016yielded approximately 10,200 total signals from 188 students in 13 classrooms.In addition, the 13 science teachers involved in the project answered ESMsurveys at the same time as their students during science class as well as aone-time background survey about their previous teaching experience andtraining as well as their attitudes about teaching. Students completed abackground survey as well, which included information about their generalattitudes about science and science class and postsecondary and careeraspirations. Data collected during the next two years of the project willinclude additional ESM data from students as the project-based units arerefined and the accompanying teacher and student background surveys. Also beingcollected are classroom observation and video data, student artifacts from theproject-based lessons, and teacher and student interviews. In person andvirtual teacher exchanges between Finland and the United States will also yieldinterview, video, and observation data. The final two years of the projectinvolve a cluster-randomized trial where teachers will use standardizedassessment tools to measure pre- and post-learning gains.
Authors
- Schneider, Barbara ;
- Krajcik, Joseph ;
- Salmela-Aro, Katariina ;
- Lavonen, Jari