NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)10
Since 2006 (last 20 years)27
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 27 results Save | Export
Roscoe, Rod D.; Allen, Laura K.; McNamara, Danielle S. – Journal of Educational Computing Research, 2019
A critical challenge for computer-based writing instruction is providing appropriate and adaptive practice. The current study examined three modes of computer-based writing practice with the goal of identifying those with the greatest learning and motivational value. High school students learned about writing strategies by studying lessons within…
Descriptors: High School Students, Writing Instruction, Computer Assisted Instruction, Writing Strategies
Roscoe, Rod D.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2018
A critical challenge for computer-based writing instruction is providing appropriate and adaptive practice. The current study examined three modes of computer-based writing practice with the goal of identifying those with the greatest learning and motivational value. High school students learned about writing strategies by studying lessons within…
Descriptors: High School Students, Writing Instruction, Computer Assisted Instruction, Writing Strategies
McCarthy, Kathryn S.; Watanabe, Micah; McNamara, Danielle S. – Grantee Submission, 2020
The Design Implementation Framework, or DIF, is a design approach that evaluates learner and user experience at multiple points in the development of intelligent tutoring systems. In this chapter, we explore how DIF was used to make system modifications to iSTART, a game-based intelligent tutoring system for reading comprehension. Using DIF as a…
Descriptors: Intelligent Tutoring Systems, Reading Comprehension, Educational Games, Program Development
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jackson, G. Tanner; McNamara, Danielle S. – Grantee Submission, 2017
By combining the benefits from Intelligent Tutoring Systems (ITSs) and video games, educational games offer the unique potential to capture learners' interest, compel them to persist with targeted tasks, and can result in improved mastery of educational content and skills. These benefits are described within the context of educational game…
Descriptors: Educational Games, Intelligent Tutoring Systems, Educational Benefits, Learning Motivation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Perret, Cecile A.; Johnson, Amy M.; McCarthy, Kathryn S.; Guerrero, Tricia A.; Dai, Jianmin; McNamara, Danielle S. – Grantee Submission, 2017
This paper introduces StairStepper, a new addition to Interactive Strategy Training for Active Reading and Thinking (iSTART), an intelligent tutoring system (ITS) that provides adaptive self-explanation training and practice. Whereas iSTART focuses on improving comprehension at levels geared toward answering challenging questions associated with…
Descriptors: Reading Comprehension, Reading Instruction, Intelligent Tutoring Systems, Reading Strategies
Peer reviewed Peer reviewed
PDF on ERIC Download full text
McCarthy, Kathryn S.; Johnson, Amy M.; Likens, Aaron D.; Martin, Zachary; McNamara, Danielle S. – Grantee Submission, 2017
Interactive Strategy Training for Active Reading and Thinking (iSTART) is an intelligent tutoring system that supports reading comprehension through self-explanation (SE) training. This study tested how two metacognitive features, presented in a 2 x 2 design, affected students' SE scores during training. The "performance notification"…
Descriptors: Metacognition, Prompting, Intelligent Tutoring Systems, Reading Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
McCarthy, Kathryn S.; Jacovina, Matthew E.; Snow, Erica L.; Guerrero, Tricia A.; McNamara, Danielle S. – Grantee Submission, 2017
iSTART is an intelligent tutoring system designed to provide self-explanation instruction and practice to improve students' comprehension of complex, challenging text. This study examined the effects of extended game-based practice within the system as well as the effects of two metacognitive supports implemented within this practice. High school…
Descriptors: Reading Comprehension, Reading Instruction, Intelligent Tutoring Systems, Reading Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Snow, Erica L.; Likens, Aaron D.; Allen, Laura K.; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2016
Game-based environments frequently afford students the opportunity to exert agency over their learning paths by making various choices within the environment. The combination of log data from these systems and dynamic methodologies may serve as a stealth means to assess how students behave (i.e., deterministic or random) within these learning…
Descriptors: Student Behavior, Pretests Posttests, High School Students, Teaching Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jackson, G. Tanner; Boonthum-Denecke, Chutima; McNamara, Danielle S. – Grantee Submission, 2015
Intelligent Tutoring Systems (ITSs) are situated in a potential struggle between effective pedagogy and system enjoyment and engagement. iSTART, a reading strategy tutoring system in which students practice generating self-explanations and using reading strategies, employs two devices to engage the user. The first is natural language processing…
Descriptors: Natural Language Processing, Feedback (Response), Intelligent Tutoring Systems, Reading Strategies
Snow, Erica L.; Allen, Laura K.; Jacovina, Matthew E.; McNamara, Danielle S. – Grantee Submission, 2015
When students exhibit control and employ a strategic plan of action over a situation they are said to be demonstrating agency (Bandura, 2001). The current work is comprised of two studies designed to investigate how agency manifests within students' choice patterns and ultimately influences self-explanation quality within the game-based system…
Descriptors: Performance, Decision Making, Video Games, Educational Games
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jacovina, Matthew E.; Jackson, G. Tanner; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2016
Game-based practice within Intelligent Tutoring Systems (ITSs) can be optimized by examining how properties of practice activities influence learning outcomes and motivation. In the current study, we manipulated when game-based practice was available to students. All students (n = 149) first completed lesson videos in iSTART-2, an ITS focusing on…
Descriptors: Reading Comprehension, Educational Games, Intelligent Tutoring Systems, Reading Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Snow, Erica L.; Jackson, G. Tanner; Varner, Laura K.; McNamara, Danielle S. – Grantee Submission, 2013
Research on individual differences indicates that students vary in how they interact with and perform while using intelligent tutoring systems (ITSs). However, less research has investigated how individual differences affect students' interactions with game-based features. This study examines how learning outcomes and interactions with specific…
Descriptors: Individual Differences, Academic Achievement, Intelligent Tutoring Systems, Educational Games
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Allen, Laura K.; Crossley, Scott A.; Snow, Erica L.; Jacovina, Matthew E.; Perret, Cecile; McNamara, Danielle S. – Grantee Submission, 2015
We investigated whether students increased their self-assessment accuracy and essay scores over the course of an intervention with a writing strategy intelligent tutoring system, [Writing Pal] (W-Pal). Results indicate that students were able to learn from W-Pal, and that the combination of strategy instruction, game-based practice, and holistic…
Descriptors: Intelligent Tutoring Systems, Self Evaluation (Individuals), Accuracy, Essays
Previous Page | Next Page ยป
Pages: 1  |  2