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Poitras, Eric; Butcher, Kirsten R.; Orr, Matthew; Hudson, Michelle A.; Larson, Madlyn – Interactive Learning Environments, 2022
This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…
Descriptors: Middle School Students, Electronic Learning, Maps, Science Instruction
Development of a Computer Program for the Identification Key to Insect Orders (Arthropoda: Hexapoda)
Aydin, Gökhan; Duran, Volkan; Mertol, Hüseyin – International Journal of Curriculum and Instruction, 2021
This study aims to develop a computer program for the identification key to insect orders (Arthropoda: Hexapoda) and to investigate its effectiveness as teaching material. Secondly, this study is aiming at whether this program improves students' computational thinking skills or not longitudinal quasi-experimental design. Firstly, the study is…
Descriptors: Computer Software, Identification, Entomology, Computation
Koury, Hannah F.; Leonard, Carly J.; Carry, Patrick M.; Lee, Lisa M. J. – Anatomical Sciences Education, 2019
Histology is a visually oriented, foundational anatomical sciences subject in professional health curricula that has seen a dramatic reduction in educational contact hours and an increase in content migration to a digital platform. While the digital migration of histology laboratories has transformed histology education, few studies have shown the…
Descriptors: Expertise, Pattern Recognition, Novices, Efficiency
Lin, John Jr-Hung; Lin, Sunny S. J. – International Journal of Science and Mathematics Education, 2014
The present study investigated (a) whether the perceived cognitive load was different when geometry problems with various levels of configuration comprehension were solved and (b) whether eye movements in comprehending geometry problems showed sources of cognitive loads. In the first investigation, three characteristics of geometry configurations…
Descriptors: Cognitive Processes, Difficulty Level, Geometry, Comprehension
Yang, Yang; Leung, H.; Yue, Lihua; Deng, LiQun – IEEE Transactions on Learning Technologies, 2012
In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation…
Descriptors: Foreign Countries, Dance Education, Lesson Plans, Pattern Recognition
Moyer-Packenham, Patricia; Suh, Jennifer – Journal of Computers in Mathematics and Science Teaching, 2012
This study examined the influence of virtual manipulatives on different achievement groups during a teaching experiment in four fifth-grade classrooms. During a two-week unit focusing on two rational number concepts (fraction equivalence and fraction addition with unlike denominators) one low achieving, two average achieving, and one high…
Descriptors: Pattern Recognition, Grade 5, Mathematics Instruction, Number Concepts
Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability
Villaverde, J. E.; Godoy, D.; Amandi, A. – Journal of Computer Assisted Learning, 2006
People have unique ways of learning, which may greatly affect the learning process and, therefore, its outcome. In order to be effective, e-learning systems should be capable of adapting the content of courses to the individual characteristics of students. In this regard, some educational systems have proposed the use of questionnaires for…
Descriptors: Cognitive Style, Computer Assisted Instruction, Web Based Instruction, Student Characteristics

Carlson, Patricia A. – Journal of Computing in Higher Education, 1991
Artificial neural networks (ANN), part of artificial intelligence, are discussed. Such networks are fed sample cases (training sets), learn how to recognize patterns in the sample data, and use this experience in handling new cases. Two cognitive roles for ANNs (intelligent filters and spreading, associative memories) are examined. Prototypes…
Descriptors: Artificial Intelligence, Associative Learning, Computer Assisted Instruction, Computer Oriented Programs
Su, Jun-Ming; Tseng, Shian-Shyong; Wang, Wei; Weng, Jui-Feng; Yang, Jin Tan David; Tsai, Wen-Nung – Educational Technology & Society, 2006
With vigorous development of the Internet, e-learning system has become more and more popular. Sharable Content Object Reference Model (SCORM) 2004 provides the Sequencing and Navigation (SN) Specification to define the course sequencing behavior, control the sequencing, selecting and delivering of course, and organize the content into a…
Descriptors: Portfolios (Background Materials), Teaching Methods, Sequential Approach, Computer System Design

Brand, James – CALICO Journal, 1987
Describes the language learning program "Acquire," which is a sample of grammar induction. It is a learning algorithm based on a pattern-matching scheme, using both a positive and negative network to reduce overgeneration. Language learning programs may be useful as tutorials for learning the syntax of a foreign language. (Author/LMO)
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction, Computer Software

Gordon, Sheldon P. – Mathematics and Computer Education, 1992
Illustrates where several unexpected patterns of antiderivatives can be realized during calculus instruction via the application of integration by parts to the exploration of particular members of families of functions. (JJK)
Descriptors: Calculus, College Mathematics, Computer Assisted Instruction, Discovery Learning

Clason, Robert G. – Journal of Computers in Mathematics and Science Teaching, 1990
Described is a method for drawing periodic tile patterns using LOGO. Squares, triangles, hexagons, shape filling, and random tile laying are included. These activities incorporate problem solving, programing methods, and the geometry of angles and polygons. (KR)
Descriptors: Computer Assisted Instruction, Computer Software, Geometry, Junior High Schools

Owens, John E. – Journal of Computers in Mathematics and Science Teaching, 1990
This article describes a way in which the computer can be used by students in exploring patterns and solving problems associated with number theory. BASIC programs are described, along with classroom questions and procedures that aid in implementation. (Author/KR)
Descriptors: Cognitive Development, Computer Assisted Instruction, Computer Software, Instructional Materials

Thomas, David A. – Journal of Computers in Mathematics and Science Teaching, 1992
Discusses the use of computer visualization to motivate and support mathematical dialogues. Describes the "Scientific Visualization Software Suite," a set of public domain visualization tools from the National Center for Supercomputing Applications. (Author/MDH)
Descriptors: Computer Assisted Instruction, Computer Software Reviews, Courseware, Discovery Learning
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