Per WPI's IRB, we require that all interventions that constitute a modification to ASSISTments content and to be delivered to ASSISTments teacher and student users fall within the boundaries of normal instructional practice for K-12 mathematics. You do not need to get your university or institution's IRB to provide the same level of approval. Please see our IRB page for additional information.
Develop your study with well-thought out research questions and robust content. Your study can qualify as "normal instructional practice," and pass approval of both WPI's IRB and your IRB, but our E-TRIALS team still needs to assess the content of your work before it can be Deployed to teacher and student users of ASSISTments. Professor Heffernan has described the type of minimally disruptive research we support in E-TRIALS.
With regard to data resulting from the use of E-TRIALS, researchers are provided anonymized data with student, class, and school level variables. It may be possible to use third party information to associate the anonymized data provided by E-TRIALS with individual students or teachers despite our team's best efforts to protect their identities. Student records are protected by FERPA. By using E-TRIALS or the data it provides, you are agreeing to the following terms and conditions:
You will make any and all outcomes of your research available to the public using free and open access practices - we require you to create an OSF project page to access your data.
You will cite ASSISTments and the specific dataset of interest (using the dataset’s DOI, if available, from the OSF) in any public release of your work, as well as up to one paper listed on the dataset’s website, if applicable.
You will not use or reference ASSISTments data for any commercial purpose.
You agree not to use the data in any other malicious manner.
You will not make any attempts to de-anonymize ASSISTments data. You will not attempt to identify ASSISTments users directly, or to modify or create any supplemental or third party datasets that identify ASSISTments users. If you are able to identify ASSISTments users in this or any ASSISTments dataset, you will: a) email email@example.com with a copy of the dataset, any supplemental files, and a written explanation of how the data was de-anonymized, b) delete all de-anonymized data and related outcomes, and c) halt pursuit of or redact publication of any outcome that risks identifying and/or harming ASSISTments users.
Worcester Polytechnic Institute and The ASSISTments Foundation follow open science practices for data accessibility and archiving but make no guarantees about the quality or permanence of ASSISTments data.
In using an ASSISTments dataset you agree to indemnify and hold harmless Worcester Polytechnic Institute and The ASSISTments Foundation of and from any and all claims, demands, losses, causes of action, damage, lawsuits, judgments, including attorneys' fees and costs, arising out of or relating to your use and analysis of ASSISTments data.
Heffernan, N. & Heffernan, C. (2014). The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching. International Journal of Artificial Intelligence in Education. 24(4), 470-497. Link to the Springer version DOI 10.1007/s40593-014-0024-x. The Special Issue focused on landmark systems.
Ostrow, K.S., Heffernan, N.T., & Williams, J.J. (2017). Tomorrow’s EdTech Today: Establishing a Learning Platform as a Collaborative Research Tool for Sound Science. Teachers College Record, Volume 119 Number 3, 2017, 1-36.
Small technical note: If you try to rerun your study and you see a broken video here is the answer. Videos that were made before Jan 21st 2017, and that were listed as "unlisted" link in Youtube, were changed to "Private" on July 23, 2021.