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Murray, Tom – International Journal of Artificial Intelligence in Education, 2016
Intelligent Tutoring Systems authoring tools are highly complex educational software applications used to produce highly complex software applications (i.e. ITSs). How should our assumptions about the target users (authors) impact the design of authoring tools? In this article I first reflect on the factors leading to my original 1999 article on…
Descriptors: Usability, Programming, Computer Software, Intelligent Tutoring Systems
Allen, Laura K.; Jacovina, Matthew E.; Dascalu, Mihai; Roscoe, Rod D.; Kent, Kevin M.; Likens, Aaron D.; McNamara, Danielle S. – International Educational Data Mining Society, 2016
This study investigates how and whether information about students' writing can be recovered from basic behavioral data extracted during their sessions in an intelligent tutoring system for writing. We calculate basic and time-sensitive keystroke indices based on log files of keys pressed during students' writing sessions. A corpus of prompt-based…
Descriptors: Writing Processes, Intelligent Tutoring Systems, Natural Language Processing, Feedback (Response)
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – International Educational Data Mining Society, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Intelligent Tutoring Systems, Sequential Approach, Problem Solving, Learning Processes
Miller, Chyna J.; Bernacki, Matthew L. – High Ability Studies, 2019
The ability to self-regulate learning (SRL) is a skill theorized to transfer across learning environments. Students with this ability can consider a learning task, identify a goal, develop a plan to achieve it, execute that plan, and monitor and adapt learning until the goal is met. This paper examines the educational implications of developing…
Descriptors: Case Studies, Mathematics Achievement, Metacognition, Learning Strategies
Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2013
This article begins with a summary of two dominant approaches to adaptive learning systems: Intelligent Tutoring Systems (ITS), which have been around since the late 1970s and relatively new learning systems based on Learning Analytics, deriving largely from technical advances in BIG DATA pioneered by Google. The article then describes a third…
Descriptors: Intelligent Tutoring Systems, Learning Analytics, Delivery Systems, Learning Theories
Ridgeway, Karl; Mozer, Michael C.; Bowles, Anita R. – Cognitive Science, 2017
We explore the nature of forgetting in a corpus of 125,000 students learning Spanish using the Rosetta Stone® foreign-language instruction software across 48 lessons. Students are tested on a lesson after its initial study and are then retested after a variable time lag. We observe forgetting consistent with power function decay at a rate that…
Descriptors: Computational Linguistics, Second Language Learning, Second Language Instruction, Computer Software
Rastegarmoghadam, Mahin; Ziarati, Koorush – Education and Information Technologies, 2017
Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is…
Descriptors: Teaching Methods, Problem Solving, Intelligent Tutoring Systems, Educational Technology
Ziegler, Nicole; Meurers, Detmar; Rebuschat, Patrick; Ruiz, Simón; Moreno-Vega, José L.; Chinkina, Maria; Li, Wenjing; Grey, Sarah – Language Learning, 2017
Despite the promise of research conducted at the intersection of computer-assisted language learning (CALL), natural language processing, and second language acquisition, few studies have explored the potential benefits of using intelligent CALL systems to deepen our understanding of the process and products of second language (L2) learning. The…
Descriptors: Interdisciplinary Approach, Second Language Learning, Language Acquisition, Intelligent Tutoring Systems
Brenner, Daniel G.; Matlen, Bryan J.; Timms, Michael J.; Gochyyev, Perman; Grillo-Hill, Andrew; Luttgen, Kim; Varfolomeeva, Marina – Technology, Knowledge and Learning, 2017
This study investigated how the frequency and level of assistance provided to students interacted with prior knowledge to affect learning in the "Voyage to Galapagos" ("VTG") science inquiry-learning environment. "VTG" provides students with the opportunity to do simulated science field work in Galapagos as they…
Descriptors: Learning Processes, Prior Learning, Online Courses, Science Education
Li, Haiying; Gobert, Janice; Dickler, Rachel – Grantee Submission, 2017
Researchers are trying to develop assessments for inquiry practices to elicit students' deep science learning, but few studies have examined the relationship between students' "doing," i.e. "performance assessment," and "writing," i.e. "open responses," during inquiry. Inquiry practices include generating…
Descriptors: Inquiry, Science Instruction, Science Experiments, Writing (Composition)
Lallé, Sébastien; Conati, Cristina; Azevedo, Roger; Mudrick, Nicholas; Taub, Michelle – International Educational Data Mining Society, 2017
In this paper, we investigate the relationship between students' learning gains and their compliance with prompts fostering self-regulated learning (SRL) during interaction with MetaTutor, a hypermedia-based intelligent tutoring systems (ITS). When possible, we evaluate compliance from student explicit answers on whether they want to follow the…
Descriptors: Compliance (Psychology), Metacognition, Computer Software, Eye Movements
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
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
To be able to provide better support for collaborative learning in Intelligent Tutoring Systems, it is important to understand how collaboration patterns change. Prior work has looked at the interdependencies between utterances and the change of dialogue over time, but it has not addressed how dialogue changes during a lesson, an analysis that…
Descriptors: Intelligent Tutoring Systems, Feedback (Response), Cooperative Learning, Group Dynamics

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