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Gervet, Theophile; Koedinger, Ken; Schneider, Jeff; Mitchell, Tom – Journal of Educational Data Mining, 2020
Intelligent tutoring systems (ITSs) teach skills using learning-by-doing principles and provide learners with individualized feedback and materials adapted to their level of understanding. Given a learner's history of past interactions with an ITS, a learner performance model estimates the current state of a learner's knowledge and predicts her…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Feedback (Response), Knowledge Level
Alonso-Fernández, Cristina; Martínez-Ortiz, Iván; Caballero, Rafael; Freire, Manuel; Fernández-Manjón, Baltasar – Journal of Computer Assisted Learning, 2020
Serious games have proven to be a powerful tool in education to engage, motivate, and help students learn. However, the change in student knowledge after playing games is usually measured with traditional (paper) prequestionnaires-postquestionnaires. We propose a combination of game learning analytics and data mining techniques to predict…
Descriptors: Case Studies, Teaching Methods, Game Based Learning, Student Motivation
Lužanin, Zorana; Kaplar, Marija; Hrubik-Vulanovic, Tatjana – Journal of Baltic Science Education, 2022
The use of infographics for presenting data in the media and on the Internet has become a widespread phenomenon. This study examines how well undergraduates interpret the mean when presented in infographic, their attitudes towards the misuse of statistics, and their perceptions of their knowledge and use of statistics. The infographic was intended…
Descriptors: Undergraduate Students, STEM Education, Visual Aids, Cross Cultural Studies
Chang Rundgren, Shu-Nu – Cultural Studies of Science Education, 2015
In this increasingly globalised age, ideas developed in different cultures and countries can be disseminated very rapidly, which is supposed to allow people who live in different cultures to exchange information and learn from each other easily. However, the process of adapting educational ideas developed within one culture for use in another…
Descriptors: Cultural Differences, Teaching Methods, Cultural Relevance, Teacher Attitudes
Halmatov, Medera – International Education Studies, 2018
There are important responsibilities expected from primary school students. The most important of these are the learning of reading, writing and arithmetic. There is a "psychological readiness" aspect besides reading, writing and arithmetic in order to be ready for the school. In this study, among the first-grade students, those who were…
Descriptors: Foreign Countries, School Readiness, Psychological Patterns, Elementary School Students
Rau, Martina Angela – International Journal of Artificial Intelligence in Education, 2017
Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…
Descriptors: Knowledge Representation, Models, Competence, Learning Processes
Pasek, Judith E.; Mayer, Jennifer – Issues in Science and Technology Librarianship, 2019
Research data management is a prominent and evolving consideration for the academic community, especially in scientific disciplines. This research study surveyed 131 graduate students and 79 faculty members in the sciences at two public doctoral universities to determine the importance, knowledge, and interest levels around research data…
Descriptors: Educational Needs, Doctoral Students, Scientific Concepts, Science Instruction
Taçgin, Zeynep; Arslan, Ahmet – Education and Information Technologies, 2017
The purpose of this study is to determine perception of postgraduate Computer Education and Instructional Technologies (CEIT) students regarding the concepts of Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), Augmented Virtuality (AV) and Mirror Reality; and to offer a table that includes differences and similarities between…
Descriptors: Graduate Students, Student Attitudes, Computer Science Education, Educational Technology
Price, Allison; Boeving, Emily R.; Shender, Marisa A.; Ross, Stephen R. – Journal of Museum Education, 2015
This project sought to understand guest engagement during great ape demonstrations conducted at the "Regenstein Center for African Apes" in the Lincoln Park Zoo. We were interested in how these demonstrations engaged audiences, relative to a non-demonstration-viewing experience, as well as how they compared to each other. In 2012 and…
Descriptors: Program Effectiveness, Recreational Facilities, Demonstrations (Educational), Animals
Klingler, Severin; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2015
Modeling student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for modeling the acquisition of knowledge is Bayesian Knowledge Tracing (BKT). Various extensions to the original BKT model have been proposed, among them two novel models that unify BKT and Item Response Theory (IRT). Latent Factor Knowledge…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Item Response Theory, Prediction
Ajuwon, Paul M.; Meeks, Melanie Kalene; Griffin-Shirley, Nora; Okungu, Phoebe A. – Journal of Visual Impairment & Blindness, 2016
Central to the issues of assistive technology utilization and competency is the need to understand how in-service and preservice teachers feel about their knowledge and skill levels. In order to identify teachers of students with visual impairments' perceptions of their mastery of assistive technology devices and services, two studies were…
Descriptors: Teacher Attitudes, Reflective Teaching, Special Education Teachers, Visual Impairments
Xiong, Xiaolu; Zhao, Siyuan; Van Inwegen, Eric G.; Beck, Joseph E. – International Educational Data Mining Society, 2016
Over the last couple of decades, there have been a large variety of approaches towards modeling student knowledge within intelligent tutoring systems. With the booming development of deep learning and large-scale artificial neural networks, there have been empirical successes in a number of machine learning and data mining applications, including…
Descriptors: Intelligent Tutoring Systems, Computer Software, Bayesian Statistics, Knowledge Level
Wyss, Corinne; Kocher, Mirjam; Baer, Matthias – Journal of Education for Teaching: International Research and Pedagogy, 2017
Nowadays, there is a consensus that good teaching and learning needs instructional variation and personalised forms of learning. In teacher education, these concepts have been implemented for years, and prospective teachers are taught accordingly; it is thus assumed that the teaching of novice teachers is in accordance with these new teaching…
Descriptors: Foreign Countries, Educational Practices, Educational Change, Educational Innovation
Langrall, Cynthia; Nisbet, Steven; Mooney, Edward; Jansem, Sinchai – Mathematical Thinking and Learning: An International Journal, 2011
Our research addresses the role that context expertise plays when students compare data. We report findings from a study conducted in 3 countries: Australia, United States, and Thailand. In each country, six middle school students analyzed authentic data relating to selected students' areas of interest. We examined the data analysis processes and…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Statistics
Hintz, Eric G.; Hintz, Maureen L.; Lawler, M. Jeannette – Journal of Astronomy & Earth Sciences Education, 2015
As part of an effort to improve students' knowledge of constellations and bright stars in an introductory level descriptive astronomy survey course, we measured the baseline knowledge that students bring to the class and how their score evolve over the course of the semester. This baseline is needed by the broader astronomy education research…
Descriptors: Secondary School Students, Grade 9, Undergraduate Students, Nonmajors

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