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Campbell, Anita – International Journal of Mathematical Education in Science and Technology, 2019
Social media platforms such as WhatsApp are increasingly used in formal education settings. However, there is little research to guide educators on how to set up effective peer tutoring groups on social media platforms, particularly between tutors and tutees who rarely meet face-to-face. In the context of a WhatsApp mathematics tutoring project,…
Descriptors: Peer Teaching, Tutoring, Social Media, Asynchronous Communication
Pletcher, Bethanie; Robertson, Phyllis; Sullivan, Maureen – Reading Horizons, 2019
The purpose of this study was to explore the operations of a sample of university-based reading clinics in order to better understand their functions and practices and to inform the planning for the authors' own clinic. This study was carried out in two phases. In Phase I, the authors conducted Internet searches and contacted knowledgeable…
Descriptors: Reading Programs, Reading Instruction, Teaching Methods, College Faculty
Wang, Crystal; Orr, Aline – Online Submission, 2019
To gather information about student perspectives of the GEAR UP program, the AISD evaluation team conducted students focus groups with students at six GEAR UP campuses in the fall of 2018. This report presents summary of findings related to students' feedback in the following areas: (1) understanding of the GEAR UP program; (2) GEAR UP…
Descriptors: School Districts, College Readiness, College Preparation, Program Effectiveness
Wang, Crystal; Orr, Aline – Online Submission, 2019
The purpose of the staff focus groups was to gather information about staff perspectives on the GEAR UP program, their experiences with the GEAR UP program, and their support for student college preparation. Most of the focus group participants across five GEAR UP campuses understood the GEAR UP program. Many staff provided positive comments about…
Descriptors: School Districts, College Readiness, College Preparation, Teacher Attitudes
Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars – International Journal of Artificial Intelligence in Education, 2016
Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
Healey, Ruth L.; Ribchester, Chris – Journal of Geography in Higher Education, 2016
This paper explores the effectiveness of a tutorial-based approach in supporting the development of geography undergraduates' ethical thinking. It was found that overall the intervention had a statistically significant impact on students' ethical thinking scores as assessed using a Meta-Ethical Questionnaire. The initiative led to a convergence of…
Descriptors: Tutoring, Undergraduate Students, Ethical Instruction, Intervention
Yang, Diyi; Kraut, Robert E.; Rose, Carolyn P. – Journal of Educational Data Mining, 2016
Although thousands of students enroll in Massive Open Online Courses (MOOCs) for learning and self-improvement, many get confused, harming learning and increasing dropout rates. In this paper, we quantify these effects in two large MOOCs. We first describe how we automatically estimate students' confusion by looking at their clicking behavior on…
Descriptors: Online Courses, Dropouts, Dropout Rate, Correlation
Al-Omari, Mohammad; Carter, Jenny; Chiclana, Francisco – International Journal of Information and Learning Technology, 2016
Purpose: The purpose of this paper is to identify a framework to support adaptivity in e-learning environments. The framework reflects a novel hybrid approach incorporating the concept of the event-condition-action (ECA) model and intelligent agents. Moreover, a system prototype is developed reflecting the hybrid approach to supporting adaptivity…
Descriptors: Electronic Learning, Integrated Learning Systems, Online Courses, Cognitive Style
Valle, Danielle Elizabeth – ProQuest LLC, 2016
As online education grows, institutions must develop and evaluate student services to meet the needs of adult online students. The university at which the study was conducted had growing online enrollment, but no systematic examination of services from the students' perspective to drive service development and improvement. This represented a gap…
Descriptors: College Students, Student Personnel Services, Online Systems, Data Analysis
Slater, Stefan; Baker, Ryan; Ocumpaugh, Jaclyn; Inventado, Paul; Scupelli, Peter; Heffernan, Neil – Grantee Submission, 2016
The creation of crowd-sourced content in learning systems is a powerful method for adapting learning systems to the needs of a range of teachers in a range of domains, but the quality of this content can vary. This study explores linguistic differences in teacher-created problem content in ASSISTments using a combination of discovery with models…
Descriptors: Semantics, Mathematical Applications, Teacher Developed Materials, Correlation
Slater, Stefan; Baker, Ryan; Ocumpaugh, Jaclyn; Inventado, Paul; Scupelli, Peter; Heffernan, Neil – International Educational Data Mining Society, 2016
The creation of crowd-sourced content in learning systems is a powerful method for adapting learning systems to the needs of a range of teachers in a range of domains, but the quality of this content can vary. This study explores linguistic differences in teacher-created problem content in ASSISTments using a combination of discovery with models…
Descriptors: Semantics, Mathematical Applications, Teacher Developed Materials, Correlation
Vail, Alexandria K.; Wiggins, Joseph B.; Grafsgaard, Joseph F.; Boyer, Kristy Elizabeth; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Tutorial dialogue is a highly effective way to support student learning. It is widely recognized that tutor dialogue moves can significantly influence learning outcomes, but the ways in which tutor moves, student affective response, and outcomes are related remains an open question. This paper presents an analysis of student affective response, as…
Descriptors: Affective Behavior, Questioning Techniques, Emotional Response, Nonverbal Communication
MacLellan, Christopher J.; Harpstead, Erik; Patel, Rony; Koedinger, Kenneth R. – International Educational Data Mining Society, 2016
While Educational Data Mining research has traditionally emphasized the practical aspects of learner modeling, such as predictive modeling, estimating students knowledge, and informing adaptive instruction, in the current study, we argue that Educational Data Mining can also be used to test and improve our fundamental theories of human learning.…
Descriptors: Educational Research, Data Collection, Learning Theories, Recall (Psychology)
Scott A. Crossley; Danielle S. McNamara – Grantee Submission, 2016
The purpose of this handbook is to provide actionable information to educators, administrators, and researchers about current, available research-based educational technologies that provide adaptive (personalized) instruction to students on literacy, including reading comprehension and writing. This handbook is comprised of chapters by leading…
Descriptors: Educational Technology, Literacy, Reading Comprehension, Writing Skills

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