NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Pranjli Khanna; Kaleb Mathieu; Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali – International Educational Data Mining Society, 2025
Recent research on more comprehensive models of student learning in adaptive math learning software used an indicator of student reading ability to predict students' tendencies to engage in behaviors associated with so-called "gaming the system." Using data from Carnegie Learning's MATHia adaptive learning software, we replicate the…
Descriptors: Computer Software, Computer Uses in Education, Reading Difficulties, Reading Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Heffernan, Neil T.; Heffernan, Cristina Lindquist – International Journal of Artificial Intelligence in Education, 2014
The ASSISTments project is an ecosystem of a few hundred teachers, a platform, and researchers working together. Development professionals help train teachers and get teachers to participate in studies. The platform and these teachers help researchers (sometimes explicitly and sometimes implicitly) simply by using content the teacher selects. The…
Descriptors: Intelligent Tutoring Systems, Educational Research, Formative Evaluation, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Koedinger, Kenneth R.; McLaughlin, Elizabeth A.; Heffernan, Neil T. – Journal of Educational Computing Research, 2010
ASSISTments is a web-based math tutor designed to address the need for timely student assessment while simultaneously providing instruction, thereby avoiding lost instruction time that typically occurs during assessment. This article presents a quasi-experiment that evaluates whether ASSISTments use has an effect on improving middle school…
Descriptors: Feedback (Response), Middle School Students, Formative Evaluation, Grade 7
Peer reviewed Peer reviewed
Direct linkDirect link
Hannafin, Robert D.; Foshay, Wellesley R. – Educational Technology Research and Development, 2008
Patriot High School (PHS) adopted a remediation strategy to help its 10th-grade students at risk of failing the Math portion of MCAS, the state's end of year competency exam. The centerpiece of that strategy was a computer-based instructional (CBI) course. PHS used a commercially available CBI product to align the course content with the…
Descriptors: Computer Assisted Instruction, High Risk Students, High Stakes Tests, Course Content