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Perikos, Isidoros; Grivokostopoulou, Foteini; Hatzilygeroudis, Ioannis – International Journal of Artificial Intelligence in Education, 2017
Logic as a knowledge representation and reasoning language is a fundamental topic of an Artificial Intelligence (AI) course and includes a number of sub-topics. One of them, which brings difficulties to students to deal with, is converting natural language (NL) sentences into first-order logic (FOL) formulas. To assist students to overcome those…
Descriptors: Intelligent Tutoring Systems, Feedback (Response), Natural Language Processing, Logical Thinking
LeFebvre, Luke; LeFebvre, Leah; Anderson, Dale – Communication Education, 2017
This study gathered data about communication centers and built on past investigations of how centers function across the United States. Communication center directors or individuals who oversee centers at two- and four-year institutions of higher education (N = 47) were surveyed. Participants responded to questions about center structure and…
Descriptors: Colleges, Online Surveys, Communications, Administrators
DeFeo, Dayna Jean; Bonin, Dan; Ossiander-Gobeille, Megan – Journal of Developmental Education, 2017
Drop-in peer tutoring is the most popular model on college campuses, but a high student-tutor ratio suggests that students will spend the majority of their lab time working without the aid of a tutor. This study observed students in a drop-in tutoring center serving developmental math students and explored what they do in that independent time.…
Descriptors: Help Seeking, Tutors, Tutoring, Remedial Mathematics
Li, Haiying; Graesser, Art – Grantee Submission, 2017
This study investigated the impact of pedagogical agents' conversational formality on learning and engagement in a trialog-based intelligent tutoring system (ITS). Participants (N = 167) were randomly assigned into one of three conditions to learn summarization strategies with the conversational agents: (1) a "formal" condition in which…
Descriptors: Language Usage, Arousal Patterns, Reading Comprehension, Learner Engagement
Lujie Chen; Artur Dubrawski – Grantee Submission, 2017
We propose a data driven method for decomposing population level learning curve models into mutually exclusive distinctive groups each consisting of similar learning trajectories. We validate this method on six knowledge components from the log data from an online tutoring system ASSISTment. Preliminary analysis reveals interpretable patterns of…
Descriptors: Learning Trajectories, Learning Processes, Intelligent Tutoring Systems, Cluster Grouping
Greer, Jim; Mark, Mary – International Journal of Artificial Intelligence in Education, 2016
The 1993 paper in "IJAIED" on evaluation methods for Intelligent Tutoring Systems (ITS) still holds up well today. Basic evaluation techniques described in that paper remain in use. Approaches such as kappa scores, simulated learners and learning curves are refinements on past evaluation techniques. New approaches have also arisen, in…
Descriptors: Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology, Evaluation Methods
Twenty Years On: Reflections on "Supporting the Use of External Representations in Problem Solving"…
Cox, Richard; Brna, Paul – International Journal of Artificial Intelligence in Education, 2016
We reflect upon a paper we wrote that was published in 1995 (20 years ago). We outline the motivation for the work and situate it in the state of the art at that time. We suggest that a key contribution was to highlight the need to provide support for learners who reason with external representations. The support must be flexible enough to…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Problem Solving, Cognitive Processes
Ritter, Steven – International Journal of Artificial Intelligence in Education, 2016
"An Architecture for Plug-in Tutor Agents" (Ritter and Koedinger 1996) proposed a software architecture designed around the idea that tutors could be built as plug-ins for existing software applications. Looking back on the paper now, we can see that certain assumptions about the future of software architecture did not come to be, making…
Descriptors: Intelligent Tutoring Systems, Computer Software, Technology Uses in Education, Teaching Methods
Eckenrode, Jeffrey; Prather, Edward E.; Wallace, Colin S. – Journal of College Science Teaching, 2016
This article reports on an investigation into the correlations between students' understandings of introductory astronomy concepts and the correctness and coherency of their written responses to targeted Lecture-Tutorial questions.
Descriptors: Correlation, Teaching Methods, Writing (Composition), Astronomy
Chen, Yetian; González-Brenes, José P.; Tian, Jin – International Educational Data Mining Society, 2016
Skill prerequisite information is useful for tutoring systems that assess student knowledge or that provide remediation. These systems often encode prerequisites as graphs designed by subject matter experts in a costly and time-consuming process. In this paper, we introduce "Combined student Modeling and prerequisite Discovery"…
Descriptors: Bayesian Statistics, Prerequisites, Graphs, Intelligent Tutoring Systems
Roy Schwartzman; Rolando Sanchez – College Student Journal, 2016
Does the communication center, where students tutor peers in oral, written, and digital communication competencies, offer a safe haven for the tutors to "be themselves" among non-judgmental cohorts? Student communication consultants (n = 34) answered Identity Gap Scale questionnaires, supplemented by focus group discussions for randomly…
Descriptors: Tutoring, Peer Teaching, Peer Relationship, Individual Characteristics
dela Cruz, John Wayne N. – TESL Canada Journal, 2022
Canadian multilingualism and multiculturalism are on the rise. Yet, monolingual language instruction remains the standard: students are often discouraged from using their additional languages and teaching materials still lack a plurilingual lens. To further inform the practice of plurilingual pedagogies, this paper reports on results of a…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Tutors
Vincent, Jonathan; Rowe, Helen; Johnson, Jo – Research in Education, 2022
This paper systematically identifies, maps and evaluates specific types of provision for autistic students published on university websites at 120 institutions throughout the UK. Within these data we identify trends in relation to geographical region, university group, and the Teaching Excellence Framework rating. We employ Nancy Fraser's theory…
Descriptors: Autism, Pervasive Developmental Disorders, Students with Disabilities, College Students
Pitman, Lora; Payne, Brian K.; Vandecar-Burdin, Tancy; Thorbjornsen, Lenora – Journal of Cybersecurity Education, Research and Practice, 2022
As the number of available cybersecurity jobs continues to grow, colleges strive to offer to their cybersecurity students an environment which will make them sufficiently prepared to enter the workforce after graduation. This paper explores the academic and professional needs of STEM-students in various higher education institutions across…
Descriptors: College Students, STEM Education, Computer Security, Information Security
Maria-Dorinela Dascalu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2022
The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…
Descriptors: Computational Linguistics, Longitudinal Studies, Technology Uses in Education, Teaching Methods

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