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Open AccessJournal ArticleDOI

The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching

TLDR
Why ASSISTments has been successful and what lessons were learned are shared and goals for the future will be presented.
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, solutions, web-based videos, etc.) or to use pre-built ASSISTments, bundle them together in a problem set, and assign these to students. The system gives immediate feedback to students while they are working and provides student-level data to teachers on any assignment. The word “ASSISTments” blends tutoring “assistance” with “assessment” reporting to teachers and students. While originally focused on mathematics, the platform now has content from many other subjects (e.g., science, English, Statistics, etc.). Due to the large library of mathematics content, however, it is mostly used by math teachers. Over 50,000 students used ASSISTments last school year (2013–4) and this number has been doubling each year for the last 8 years. The platform allows any user, mostly researchers, to create randomized controlled trials in the content, which has helped us use the tool in over 18 published and an equal number of unpublished studies. The data collected by the system has also been used in a few dozen peer-reviewed data mining publications. This paper will not seek to review these publications, but instead we will share why ASSISTments has been successful and what lessons were learned along the way. The first lesson learned was to build a platform for learning sciences, not a product that focused on a math topic. That is, ASSISTments is a tool, not a curriculum. A second lesson learned is expressed by the mantra “Put the teacher in charge, not the computer.” This second lesson is about building a flexible system that allows teachers to use the tool in concert with the classroom routine. Once teachers are using the tool they are more likely to want to participate in research studies. These lessons were born from the design decisions about what the platform supports and does not support. In conclusion, goals for the future will be presented.

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Citations
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Evolution and Revolution in Artificial Intelligence in Education

TL;DR: It is suggested that two parallel strands of research need to take place in order to impact education in the next 25 years: one is an evolutionary process, focusing on current classroom practices, collaborating with teachers, and diversifying technologies and domains, and the other is a revolutionary process.
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Stupid Tutoring Systems, Intelligent Humans

TL;DR: The potential of educational data mining driving human decision-making as an alternate paradigm for online learning, focusing on intelligence amplification rather than artificial intelligence is discussed.
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Vision, challenges, roles and research issues of Artificial Intelligence in Education

TL;DR: The definition and roles of AIED studies from the perspective of educational needs are presented and a framework to show the considerations of implementing AIED in different learning and teaching settings is proposed.
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Application and theory gaps during the rise of Artificial Intelligence in Education

TL;DR: A comprehensive and systematic review of influential AIEd studies indicated that there was a continuingly increasing interest in and impact of AIEd research, but little work had been conducted to bring deep learning technologies into educational contexts.
Journal ArticleDOI

Online Mathematics Homework Increases Student Achievement

TL;DR: In a randomized field trial with 2,850 seventh-grade mathematics students, the authors evaluated whether an educational technology intervention increased mathematics learning and found that assigning homework is common for all students.
References
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Book

Rules of the Mind

TL;DR: Production Systems and the ACT-R Theory and the Identical Elements Theory of Transfer.
Journal Article

The Search for Methods of Group Instruction as Effective as One-to-One Tutoring.

TL;DR: In this article, the authors compared student learning under three conditions of instruction: 1. Conventional, 2. Mastery Learning, and 3. Tutoring, and concluded that the need for corrective work under tutoring is very small.
Journal ArticleDOI

The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring:

TL;DR: In this article, the authors compared student learning under three conditions of instruction: 1. Conventional, 2. Mastery Learning, and 3. Tutoring, and concluded that the need for corrective work under tutoring is very small.
Journal ArticleDOI

Cognitive Tutors: Lessons Learned

TL;DR: The 10-year history of tutor development based on the advanced computer tutoring (ACT) theory is reviewed, finding that a new system for developing and deploying tutors is being built to achieve the National Council of Teachers of Mathematics (NCTM) standards for high-school mathematics in an urban setting.
Proceedings ArticleDOI

Intelligent Tutoring Goes To School in the Big City

TL;DR: This study provides further evidence that laboratory tutoring systems can be scaled up and made to work, both technically and pedagogically, in real and unforgiving settings like urban high schools.
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