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Hayashi, Yugo; Takeuchi, Yugo – International Educational Data Mining Society, 2018
This study investigated the factors underlying the estimation of learner self-confidence during explanations with a conversational agent in an online explanation task. Based on reviews of previous studies, we focused on how factors such as the learner's task activities and personal characteristics can be predictors. To examine these points, we…
Descriptors: Self Efficacy, Task Analysis, Cognitive Processes, Individual Characteristics
Roll, Ido; Aleven, Vincent; McLaren, Bruce M.; Koedinger, Kenneth R. – Learning and Instruction, 2011
The present research investigated whether immediate metacognitive feedback on students' help-seeking errors can help students acquire better help-seeking skills. The Help Tutor, an intelligent tutor agent for help seeking, was integrated into a commercial tutoring system for geometry, the Geometry Cognitive Tutor. Study 1, with 58 students, found…
Descriptors: Feedback (Response), Help Seeking, Intelligent Tutoring Systems, Program Effectiveness
Wang, Yutao; Beck, Joseph E. – International Educational Data Mining Society, 2012
The goal of predicting student behavior on the immediate next action has been investigated by researchers for many years. However, a fair question is whether this research question is worth all of the attention it has received. This paper investigates predicting student performance after a delay of 5 to 10 days, to determine whether, and when, the…
Descriptors: Decision Making, Foreign Countries, Student Behavior, Intelligent Tutoring Systems
Santally, Mohammad – European Journal of Open, Distance and E-Learning, 2016
The aim of this paper is to present a comprehensive review of the African Leadership in ICT (ALICT-LATIC) course delivery model, offered by the Global e-Schools and Communities Initiatives (GESCI) from a quality assurance perspective taking into account the delivery model, cultural context, and the distributed nature of the programme and its…
Descriptors: Program Evaluation, Information Technology, Educational Quality, Blended Learning
Parfitt, Elizabeth; Shane, Stephen – Community Literacy Journal, 2016
This snapshot describes and reflects upon two case studies of community writing projects between Emerson College and Boston Public Schools. Emerson College students were asked to tutor 10th grade BPS students for the English Language Arts portion of the state standardized assessment. Through both quantitative results and qualitative reflection,…
Descriptors: Standardized Tests, Writing Instruction, Community Programs, College School Cooperation
Watt, Sarah J.; Watkins, Jessie R.; Abbitt, Jason – Journal of Learning Disabilities, 2016
This review investigates effective interventions for teaching algebra to students with learning disabilities and evaluates the complexity and alignment of skills with the Common Core State Standards in math. The review includes the results of 10 experimental and 5 single-subject designs (N = 15) producing a moderate overall effect size (g = 0.48).…
Descriptors: Algebra, Learning Disabilities, Mathematics Instruction, Intervention
Sriprakash, Arathi; Proctor, Helen; Hu, Betty – Discourse: Studies in the Cultural Politics of Education, 2016
This article explores parents' use of private tutoring services for their primary school children in Sydney, Australia's largest city. Using Bernstein's theories of invisible and visible pedagogies, we look, through the eyes of a small group of middle-class Chinese-background interviewees, at the tensions between certain pedagogic forms associated…
Descriptors: Tutoring, Elementary School Students, Advantaged, Foreign Countries
Theodoropoulos, Anastasios; Antoniou, Angeliki; Lepouras, George – Education and Information Technologies, 2016
The students of a Greek junior high school collaborated to prepare the teaching material of a theoretical Computer Science (CS) course and then shared their understanding with other students. This study investigates two alternative teaching methods (collaborative learning and peer tutoring) and compares the learning results to the traditional…
Descriptors: Foreign Countries, Secondary Education, Peer Teaching, Junior High School Students
Doleck, Tenzin; Jarrell, Amanda; Poitras, Eric G.; Chaouachi, Maher; Lajoie, Susanne P. – Australasian Journal of Educational Technology, 2016
Clinical reasoning is a central skill in diagnosing cases. However, diagnosing a clinical case poses several challenges that are inherent to solving multifaceted ill-structured problems. In particular, when solving such problems, the complexity stems from the existence of multiple paths to arriving at the correct solution (Lajoie, 2003). Moreover,…
Descriptors: Accuracy, Patients, Computer Simulation, Clinical Diagnosis
Raji, Maryam; Zualkernan, Imran – Educational Technology & Society, 2016
Education is a basic human right. In pursuit of this right, governments in developing countries and their donors often invest scarce resources in educational initiatives that are sometimes not sustainable. This paper addresses the problem of selecting a sustainable learning technology intervention (LTI) for a typical developing country. By solving…
Descriptors: Sustainability, Intervention, Developing Nations, Decision Making
Richardson, John T. E. – Journal of Postsecondary Education and Disability, 2016
This study examined the experiences of students taking the same courses in the humanities by distance learning when tutorial support was provided conventionally (using limited face-to-face sessions with some contact by telephone and email) or online (using a combination of computer-mediated conferencing and email). The results showed that, given a…
Descriptors: Conventional Instruction, Electronic Learning, Technology Uses in Education, Distance Education
Hardman, Jan – Active Learning in Higher Education, 2016
While much of the recent academic literature into university seminar teaching has focused on collaborative learning involving student-student interaction, little research has been done into tutor-student interaction and how tutors interact with students during whole class, group-based and one-to-one teaching. In response to this finding, this…
Descriptors: Tutors, Professional Development, Higher Education, Active Learning
Paquette, Luc; Rowe, Jonathan; Baker, Ryan; Mott, Bradford; Lester, James; DeFalco, Jeanine; Brawner, Keith; Sottilare, Robert; Georgoulas, Vasiliki – International Educational Data Mining Society, 2016
Computational models that automatically detect learners' affective states are powerful tools for investigating the interplay of affect and learning. Over the past decade, affect detectors--which recognize learners' affective states at run-time using behavior logs and sensor data--have advanced substantially across a range of K-12 and postsecondary…
Descriptors: Models, Affective Behavior, Intelligent Tutoring Systems, Games
Arnau, David; Arevalillo-Herráez, Miguel; González-Calero, José Antonio – IEEE Transactions on Learning Technologies, 2014
This paper presents an intelligent tutoring system (ITS) for the learning of arithmetical problem solving. This is based on an analysis of (a) the cognitive processes that take place during problem solving; and (b) the usual tasks performed by a human when supervising a student in a one-to-one tutoring situation. The ITS is able to identify the…
Descriptors: Intelligent Tutoring Systems, Arithmetic, Problem Solving, Supervision
DeFeo, Dayna Jean; Caparas, Fawn – Journal of College Reading and Learning, 2014
Much scholarship about writing centers addresses benefits to students; this article instead explores the gains inherent in tutoring for the tutors themselves. Using a phenomenological methodology, this study analyzes reflective narratives from eight former writing center tutors in order to identify commonalities in their experiences. Although they…
Descriptors: Tutoring, Phenomenology, Writing (Composition), Laboratories

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