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Kumar, Tracey – Multicultural Education, 2016
This study of participants' contributions to a university-based family literacy program was informed by both "funds of knowledge" (Moll, 1992) and "multiple literacies" (Auerbach, 1995). The study examined participants' contributions to the design, implementation, and evaluation of a university-based family literacy program. In…
Descriptors: Family Programs, Literacy Education, Cultural Background, Program Design
Heift, Trude – International Journal of Artificial Intelligence in Education, 2016
This commentary reconsiders the description and assessment of the design and implementation of "German Tutor," an Intelligent Language Tutoring System (ILTS) for learners of German as a foreign language, published in 2001. Based on our experience over the past 15 years with the design and real classroom use of an ILTS, we address a…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Second Language Instruction, German
Almalki, Nabil – World Journal of Education, 2016
A systematic review of literature was carried out on peer-reviewed journals published from 2000 to 2015 to help in determining the best strategy of evidence-based practice that can be applied in teaching literacy skills among students with multiple disabilities. A total of 12 studies were reviewed, some of which included science and mathematics…
Descriptors: Literacy, Evidence Based Practice, Teaching Methods, Multiple Disabilities
Wang, Dan; Bray, Mark – Asia-Pacific Education Researcher, 2016
In many settings a perplexing scenario is unfolding in which school systems claim to move towards whole-person development while students and parents run in the opposite direction of narrowly defined academic achievement enhanced by private supplementary tutoring. Such tutoring is widely called shadow education because much of its content mimics…
Descriptors: Social Stratification, Teacher Attitudes, Tutoring, Foreign Countries
Liu, Ran; Davenport, Jodi; Stamper, John – International Educational Data Mining Society, 2016
The increasing use of educational technologies in classrooms is producing vast amounts of process data that capture rich information about learning as it unfolds. The field of educational data mining has made great progress in using log data to build models that improve instruction and advance the science of learning. Thus far, however, the…
Descriptors: Educational Technology, Data Analysis, Automation, Data
Sales, Adam C.; Wilks, Asa; Pane, John F. – International Educational Data Mining Society, 2016
The Cognitive Tutor Algebra I (CTAI) curriculum, which includes both textbook and online components, has been shown to boost student learning by about 0.2 standard deviations in a randomized effectiveness trial. Students who were assigned to the experimental condition varied substantially in how, and how much, the used the online component of…
Descriptors: Algebra, Mathematics Instruction, Educational Technology, Technology Uses in Education
Katz, Sandra; Albacete, Patricia; Jordan, Pamela – Grantee Submission, 2016
This poster reports on a study that compared three types of summaries at the end of natural-language tutorial dialogues and a no-dialogue control, to determine which type of summary, if any, best predicted learning gains. Although we found no significant differences between conditions, analyses of gender differences indicate that female students…
Descriptors: Natural Language Processing, Intelligent Tutoring Systems, Reflection, Dialogs (Language)
Jenna Marks; Deena Bernett; Catherine C. Chase – International Journal of Designs for Learning, 2016
This design case describes the development of the Invention Coach, an intelligent exploratory learning environment (ELE) for the constructivist activity of Invention. The Invention Coach scaffolds students as they invent mathematical formulas to describe contrasting cases. In this paper, we detail our process and rationale for three key design…
Descriptors: Intelligent Tutoring Systems, Constructivism (Learning), Mathematics Instruction, Scaffolding (Teaching Technique)
Fossati, Davide; Di Eugenio, Barbara; Ohlsson, Stellan; Brown, Christopher; Chen, Lin – Technology, Instruction, Cognition and Learning, 2015
Based on our empirical studies of effective human tutoring, we developed an Intelligent Tutoring System, iList, that helps students learn linked lists, a challenging topic in Computer Science education. The iList system can provide several forms of feedback to students. Feedback is automatically generated thanks to a Procedural Knowledge Model…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Feedback (Response), Information Retrieval
Snow, Erica L.; Allen, Laura K.; Jackson, G. Tanner; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2015
Using students' process data from the game-based Intelligent Tutoring System (ITS) iSTART-ME, the current study examines students' propensity to use system currency to unlock game-based features, (i.e., referred to here as "spendency"). This study examines how spendency relates to students' interaction preferences, in-system performance,…
Descriptors: Intelligent Tutoring Systems, Educational Games, High School Students, Preferences
Nye, Benjamin D. – International Journal of Artificial Intelligence in Education, 2015
As information and communication technology access expands in the developing world, learning technologies have the opportunity to play a growing role to enhance and supplement strained educational systems. Intelligent tutoring systems (ITS) offer strong learning gains, but are a class of technology traditionally designed for most-developed…
Descriptors: Intelligent Tutoring Systems, Developing Nations, Educational Trends, Educational Technology
Husby, Olaf; Koreman, Jacques; Martínez-Paricio, Violeta; Abrahamsen, Jardar E.; Albertsen, Egil; Hedayatfar, Keivan; Bech, Øyvind – Research-publishing.net, 2015
The pronunciation of a second or foreign language is often very challenging for L2 learners. It is difficult to address this topic in the classroom, because learners with different native languages (L1s) can have very different challenges. We have therefore developed a Computer-Assisted Listening and Speaking Tutor (CALST), which selectively…
Descriptors: Second Language Instruction, Pronunciation, Computer Assisted Instruction, Intelligent Tutoring Systems
Rodríguez, Emma Leticia Canales; Robelo, Octaviano García – Bulgarian Comparative Education Society, 2015
This work reports on the results of research on modalities of mentoring in the area of social sciences at two Mexican universities and their relationship with the academic trajectories of their students. The analysis focuses on the need to identify influences of different mentoring forms on students' academic performance. The theoretical…
Descriptors: Comparative Analysis, Public Colleges, Tutors, Tutorial Programs
Castro, Francisco Enrique Vicente; Adjei, Seth; Colombo, Tyler; Heffernan, Neil – International Educational Data Mining Society, 2015
A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…
Descriptors: Models, Student Behavior, Intelligent Tutoring Systems, Data Analysis
Rod D. Roscoe; Erica L. Snow; Laura K. Allen; Danielle S. McNamara – Grantee Submission, 2015
The Writing Pal is an intelligent tutoring system designed to support writing proficiency and strategy acquisition for adolescent writers. A fundamental aspect of the instructional model is automated formative feedback that provides concrete information and strategies oriented toward student improvement. In this paper, the authors explore…
Descriptors: Intelligent Tutoring Systems, Automation, Feedback (Response), Revision (Written Composition)

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