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Exploring the Effects of Redundancy within a Tutorial Dialogue System: Restating Students' Responses
Jordan, Pamela; Albacete, Patricia; Katz, Sandra – Grantee Submission, 2015
Although restating part of a student's correct response correlates with learning and various types of restatements have been incorporated into tutorial dialogue systems, this tactic has not been tested in isolation to determine if it causally contributes to learning. When we explored the effect of tutor restatements that support inference on…
Descriptors: High School Students, Intelligent Tutoring Systems, Redundancy, Responses
Nye, Benjamin D.; Pavlik, Philip I., Jr.; Windsor, Alistair; Olney, Andrew M.; Hajeer, Mustafa; Hu, Xiangen – International Journal of STEM Education, 2018
Background: This study investigated learning outcomes and user perceptions from interactions with a hybrid intelligent tutoring system created by combining the AutoTutor conversational tutoring system with the Assessment and Learning in Knowledge Spaces (ALEKS) adaptive learning system for mathematics. This hybrid intelligent tutoring system (ITS)…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Outcomes of Education, Mastery Learning
Shi, Lijing; Stickler, Ursula – Innovation in Language Learning and Teaching, 2018
Speaking in Chinese is problematic for all learners, particularly for beginners and more so during online interaction. Despite the fact that interaction has been identified as crucial for the development of speaking skills, it can be hindered by students' lack of language competence or their anxiety. Teacher-centred practices in tutorials can…
Descriptors: Foreign Countries, Second Language Instruction, Mandarin Chinese, Online Courses
Pearson, 2018
Pearson sought to explore whether the use of Mastering Biology, an online tutorial system used in higher education general introductory courses, is related to students' exam results. This Research Report presents findings from one research study: a correlational study we conducted at a North American state-related, land-grant, doctoral university,…
Descriptors: College Science, Biology, Intelligent Tutoring Systems, Undergraduate Study
Padrón-Rivera, Gustavo; Rebolledo-Mendez, Genaro; Parra, Pilar Pozos; Huerta-Pacheco, N. Sofia – Educational Technology & Society, 2016
Affect is an important element of the learning process both in the classroom and with educational technology. This paper presents analyses in relation to the identification of Action Units (AUs) related to affective states and their impact on learning with a tutoring system. To assess affect, a tool was devised to identify AUs on pictures of human…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Secondary School Mathematics, Foreign Countries
Kulik, James A.; Fletcher, J. D. – Review of Educational Research, 2016
This review describes a meta-analysis of findings from 50 controlled evaluations of intelligent computer tutoring systems. The median effect of intelligent tutoring in the 50 evaluations was to raise test scores 0.66 standard deviations over conventional levels, or from the 50th to the 75th percentile. However, the amount of improvement found in…
Descriptors: Intelligent Tutoring Systems, Meta Analysis, Computer Assisted Instruction, Statistical Analysis
Frishkoff, Gwen A.; Collins-Thompson, Kevyn; Hodges, Leslie; Crossley, Scott – Reading and Writing: An Interdisciplinary Journal, 2016
The present study asked whether accuracy feedback on a meaning generation task would lead to improved contextual word learning (CWL). Active generation can facilitate learning by increasing task engagement and memory retrieval, which strengthens new word representations. However, forced generation results in increased errors, which can be…
Descriptors: Accuracy, Feedback (Response), Word Recognition, Reading Skills
Kontos, George – TechTrends: Linking Research and Practice to Improve Learning, 2016
The following paper describes a distinctive collaborative service-learning project done in an undergraduate class on web design. In this project, students in a web design class contacted local community non-profit organizations to create websites (collections of web pages) to benefit these organizations. The two phases of creating a website,…
Descriptors: Undergraduate Students, Intelligent Tutoring Systems, Cooperative Learning, Service Learning
Snow, Erica L.; Jacovina, Matthew E.; Jackson, G. Tanner; McNamara, Danielle S. – Grantee Submission, 2016
This chapter provides an overview of the Interactive Strategy Tutor for Active Reading and Thinking-2 (iSTART-2). iSTART-2 is a game-based tutoring system designed to improve students' reading comprehension skills. It does so by providing them with instruction on how to self-explain using comprehension strategies. In this chapter, we first discuss…
Descriptors: Reading Comprehension, Reading Strategies, Reading Instruction, Educational Games
Kristensen, Terje – International Association for Development of the Information Society, 2016
An E-learning system based on a multi-agent (MAS) architecture combined with the Dynamic Content Manager (DCM) model of E-learning, is presented. We discuss the benefits of using such a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA). This MAS architecture may also be used within…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Database Management Systems, Courseware
Jeremy Roschelle; Steven Gaudino; Samantha Darling – Grantee Submission, 2016
Reasoning Mind products are used by over 100,000 students a year and have shown positive outcomes. In this design case we focus on implementation: how Reasoning Mind's approach evolved to tackle the challenge of achieving consistently high-quality implementations with many different schools, teachers, and students. Key insights include the…
Descriptors: Instructional Design, Curriculum Design, Curriculum Implementation, Mathematics Curriculum
Jeremy Roschelle; Steven Gaudino; Samantha Darling – International Journal of Designs for Learning, 2016
Reasoning Mind products are used by over 100,000 students a year and have shown positive outcomes. In this design case we focus on implementation: how Reasoning Mind's approach evolved to tackle the challenge of achieving consistently high-quality implementations with many different schools, teachers, and students. Key insights include the…
Descriptors: Instructional Design, Curriculum Design, Curriculum Implementation, Mathematics Curriculum
Khodeir, Nabila Ahmed; Elazhary, Hanan; Wanas, Nayer – International Journal of Information and Learning Technology, 2018
Purpose: The purpose of this paper is to present an algorithm to generate story problems via controlled parameters in the domain of mathematics. The generation process is performed in the problem generation module in the context of an intelligent tutoring system suggested in this paper. Controlling the question parameters allows for adapting the…
Descriptors: Problem Solving, Teaching Methods, Difficulty Level, Natural Language Processing
Silva, Pedro – E-Learning and Digital Media, 2017
There are several technological tools which aim to support first year students' challenges, especially when it comes to academic writing. This paper analyses one of these tools, Wiley's AssignMentor. The Technological Pedagogical Content Knowledge framework was used to systematise this analysis. The paper showed an alignment between the tools'…
Descriptors: Scaffolding (Teaching Technique), Assignments, College Freshmen, Freshman Composition
Brayshaw, Mike; Gordon, Neil – New Directions in the Teaching of Physical Sciences, 2017
Connecting undergraduate students as partners can lead to the enhancement of the undergraduate experience and allow students to see the different sides of the university. Such holistic perspectives may better inform academic career choices and postgraduate study. Furthermore, student involvement in course development has many potential benefits.…
Descriptors: Undergraduate Students, Computer Science Education, Foreign Countries, Student Research

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