Special Issue "Adaptive Educational Technology Systems"
A special issue of Systems (ISSN 2079-8954).
Deadline for manuscript submissions: closed (31 January 2016)
Adaptivity is a key capability of effective instructors. The goal of many human instructors is to adapt their instruction to the needs of individual students. For example, adaptive instructors might typically collect and process information about their students’ knowledge, abilities, aspirations, and social background. In reality, however, human instructors may not be able to gather sufficient information relating to all their students at the same time, regardless of class size. With the uptake of mass education, for instance, through Massive Online Open Courses (MOOC), the need for adaptive instruction becomes more important.
As a solution, adaptive educational systems can assist human instructors in collecting and analyzing data related to student learning, so as to respond with appropriate instructional approaches. In some cases, adaptive educational systems may be superior to human instructors, due to their fast computational ability. As a result, many types of adaptive educational systems have been developed and numerous new types of applications have been proposed in the state of the art.
The challenge of developing adaptive educational systems has two complementary foci. First, the field needs to see innovative and highly effective tools that collect student data through as many human sensory input channels as possible and to analyze these data accurately. Second, human instructors working with existing and emerging tools need support on several fronts: integrating these tools into their educational practices, customizing and restructuring learning activities, and creating novel pathways to learning.
This Special Issue seeks innovative contributions on both technical and pedagogical aspects of the design, development, and evaluation of adaptive educational systems. In addition, literature review papers that provide a thorough overview of the state of the art concerning some aspects of the above-mentioned problems are also welcome.
Dr. Nguyen-Thinh Le
Dr. Jon Mason
Dr. Christian Gütl
Prof. Dr. Kiyoshi Nakabayashi
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- inquiry-based systems
- learning analytics
- automated question generation
- sense-making & the human computer interface
- adaptive dialogue systems
- adaptive assessment systems
- adaptive feedback generation systems
- adaptive modelling techniques
- adaptive MOOC