All 27 Studies Done with ASSISTments
ASSISTments has been used in more than 27 published randomized controlled experiments investigating ways to improve student learning.
Of these, 13 were conducted with 17 other universities.
Of those, Heffernan conducted 8 in collaboration with others, while 5 were conducted without Heffernan authorship (via the ASSISTmentsTestbed).
Summaries and full-text versions of these publications are available at the links below.
Comparing experimental feedback conditions with "business as usual" control conditions in which students get feedback the next day
Estimating the effect of web-based homework with University of Illinois, Chicago (UIC)
Does immediate feedback while doing homework improve learning
Improving learning from homework using intelligent tutoring systems with West Virginia University
Showing that ASSISTments closes gaps between lower-achieving and higher-achieving students
Comparing hints, step-by-step scaffolding questions, solutions, and worked examples
What features of hints matter? with Carnegie Mellon University, Columbia University, and University of Pennsylvania
Counterintuitive effects of online feedback in middle school math: results from a randomized controlled trial in ASSISTments by University of Colorado & University of Maine
Comparing worked examples to step-by-step feedback
Are worked examples an effective feedback mechanism during problem-solving?
Two experiments related to tutored problem solving vs. “pure” worked examples with Seton Hall University, Carnegie Mellon, and Albert Einstein College of Medicine
A novel technique to analyze experiments that have no posttest
Comparing different videos intended for motivational benefits
Comparing connecting with parents to a control
Comparing the difficulty of different problem types
The effect of language modification of mathematics story problems on problem-solving in ASSISTments By Southern Methodist University & University of North Dakota
Comparing different instructional approaches
Blocking vs. interleaving: Does skill pattern matter? With Carleton College
Does asking students to self-report their confidence affect their performance? With Harvard University
Seeing language learning inside the math: cognitive analysis yields transfer By Carnegie Mellon University
Labeling common and uncommon fractions across notation and education University of Chicago & Boston College
Comparing the Automatic Reassessment and Relearning System(ARRS) feature with other options
Heffernan, C. (2017)