2014
DOI: 10.1007/s40593-014-0024-x
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The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching

Abstract: 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 platform, hosted by Worcester Polytechnic Institute, allows teachers to write individual ASSISTments (composed of questions with answers and associated hints, solutio… Show more

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Cited by 342 publications
(174 citation statements)
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References 35 publications
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“…There are two prominent scaffolding techniques (i) scaffolding questions [31,32,33,34,35] and (ii) scaffolding feedback [36]. Scaffolding questions are intended to be a sequence of questions to aid the students build understanding.…”
Section: Scaffoldingmentioning
confidence: 99%
“…There are two prominent scaffolding techniques (i) scaffolding questions [31,32,33,34,35] and (ii) scaffolding feedback [36]. Scaffolding questions are intended to be a sequence of questions to aid the students build understanding.…”
Section: Scaffoldingmentioning
confidence: 99%
“…The proposal to create a techno-intellectual infrastructure for supporting educators' metacognition brings to sharp focus several areas of pertinence, namely, academic and industrial attempts to create communities of educational practice such as ASSISTments (Heffernan and Heffernan 2014), ALEKS (Falmagne et al 2006), Learning Designer (Laurillard 2012), or STAR./LBD.Legacy (Schwartz et al 1998); work related to teachers' metacognition and its importance to continuous professional development (CPD) and pedagogical innovation (Lin et al 2005;Lin and Schwartz 2003); and AI, especially knowledge representation and engineering (e.g. Davis et al 1993;Conlon and Pain 1996).…”
Section: Related Workmentioning
confidence: 99%
“…ASSISTments (Heffernan and Heffernan 2014) is another system, which claims a high volume of usage in the US and further afield. As with the previous two examples it can be broadly categorised as an e-assessment system, which has been at least inspired by AI approaches, in particular the model-and example-tracing paradigms developed as part of the Cognitive Tutors endeavour (e.g.…”
Section: Communities Of Practice and Technology-enhanced Teaching Andmentioning
confidence: 99%
“…While it is not currently a MOOC repository, it is widely used in the Intelligent Tutoring Systems community, and we would be remiss to not acknowledge its impact and use in the learning community. DataShop hosts datasets as a service to the community, largely from the Cognitive Tutor (Anderson et al 1995), which was born out of the same lab, as well as from other tutoring systems such as the Andes Physics Tutor (Veeramachaneni et al 2014), the Open Learning Initiative (OLI) (Lovett et al 2008) for college statistics, a web-based mathematics platform, ASSISTments (Heffernan and Heffernan 2014), among others. These tutoring systems are based on mastery learning (Bloom 1968) and the effective practice of providing immediate feedback (Corbett and Anderson 2001) in achieving that mastery.…”
Section: Learnlab Datashop Modelmentioning
confidence: 99%