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Lunsford, Eddie; Diviney, Michael – Bioscene: Journal of College Biology Teaching, 2020
Anatomy and Physiology should be considered a gateway course due to its challenging scope and key role as a foundational prerequisite for many degree programs. Students often encounter gateway classes early in their college career when they are academically vulnerable due to their lack of university experience. A&P teaching methods are…
Descriptors: Anatomy, Physiology, Teaching Methods, College Science
Nickel, Jodi; Hughes, Scott Frederick – Reading Horizons, 2020
This article describes a community service learning collaboration between a teacher education program and a nonprofit literacy society. Seventeen teacher candidates (TCs) tutored young readers weekly for seven months as part of their course-related field experience and completed reflective assignments analyzing their own learning and the learning…
Descriptors: Reading Instruction, Preservice Teacher Education, Preservice Teachers, Tutors
Meng, Qingquan; Jia, Jiyou; Zhang, Zhiyong – Interactive Technology and Smart Education, 2020
Purpose: The purpose of this study is to verify the effect of smart pedagogy to facilitate the high order thinking skills of students and to provide the design suggestion of curriculum and intelligent tutoring systems in smart education. Design/methodology/approach: A smart pedagogy framework was designed. The quasi-experiment was conducted in a…
Descriptors: Thinking Skills, Instructional Effectiveness, Technology Integration, Intelligent Tutoring Systems
Lara Nieto-Márquez, Natalia; Baldominos, Alejandro; Pérez-Nieto, Miguel Ángel – Education Sciences, 2020
Metacognition is a construct that is noteworthy for its relationship with the prediction and enhancement of student performance. It is of interest in education, as well as in the field of cognitive psychology, because it contributes to competencies, such as learning to learn and the understanding of information. This study conducted research at a…
Descriptors: Metacognition, Elementary School Students, Measures (Individuals), Prediction
Liu, Junyan; Bray, Mark – Educational Studies, 2020
Recent decades have brought global expansion of private supplementary tutoring, and China is among countries in which patterns have been especially dramatic. National survey data indicate that 29.8% of primary and lower secondary students had received private supplementary tutoring in 2014, with proportions rising at higher levels of the school…
Descriptors: Educational Demand, Private Education, Tutoring, Supplementary Education
Lisenbee, Peggy S. – Texas Association for Literacy Education Yearbook, 2017
Preservice teachers participate in a variety of field experiences before student teaching. Tutoring field experiences offer a framework for preservice teachers to focus on teaching and assessing literacy skills needed to be an effective reading teacher. A small-scale research study focused on gathering qualitative data as preservice teachers…
Descriptors: Literacy, Tutoring, Pedagogical Content Knowledge, Student Attitudes
Çakiroglu, Ünal; Öngöz, Sakine – Education and Information Technologies, 2017
This study attempted to examine students' experiences on collaborative work with peer tutoring in projects. The study also focused impact of peer tutoring on remedying misconceptions. The study was conducted in the context of an operating system course in which 30 pre-service ICT teachers are the participants. Data were gathered from pre-tests,…
Descriptors: Peer Teaching, Tutoring, Program Effectiveness, Misconceptions
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

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