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Peter Curtis; Brett Moffett; David A. Martin – Australian Primary Mathematics Classroom, 2024
In this article, the authors explore how the 3C Model can be used to integrate other curriculum areas with mathematics, namely digital technologies. To illustrate the model, they provide a practical example of a teaching sequence. T he 3C Model is designed to create opportunities for applying reasoning and problem-solving skills and learning…
Descriptors: Models, Computer Software, Problem Solving, Mathematics Instruction
Wen, Cai-Ting; Chang, Chia-Jung; Chang, Ming-Hua; Fan Chiang, Shih-Hsun; Liu, Chen-Chung; Hwang, Fu-Kwun; Tsai, Chin-Chung – Instructional Science: An International Journal of the Learning Sciences, 2018
This study investigated students' modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the…
Descriptors: Educational Games, Simulation, Problem Solving, Models
Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
Meikle, Erin M. – Teaching Children Mathematics, 2016
Many teachers are using the Five Practices model to guide them in orchestrating whole-class mathematics discussions that focus on understanding: (1) anticipate an array of possible student-generated solution strategies to a mathematical task before implementing the lesson; (2) monitor students' work as they grapple with the task; (3) select a…
Descriptors: Mathematics Instruction, Teaching Methods, Methods Courses, Elementary School Mathematics
Min, Wookhee; Wiggins, Joseph B.; Pezzullo, Lydia G.; Vail, Alexandria K.; Boyer, Kristy Elizabeth; Mott, Bradford W.; Frankosky, Megan H.; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Recent years have seen a growing interest in intelligent game-based learning environments featuring virtual agents. A key challenge posed by incorporating virtual agents in game-based learning environments is dynamically determining the dialogue moves they should make in order to best support students' problem solving. This paper presents a…
Descriptors: Prediction, Models, Intelligent Tutoring Systems, Computer Simulation
Hafidi, Mohamed; Bensebaa, Taher – International Journal of Distance Education Technologies, 2015
The majority of adaptive and intelligent tutoring systems (AITS) are dedicated to a specific domain, allowing them to offer accurate models of the domain and the learner. The analysis produced from traces left by the users is didactically very precise and specific to the domain in question. It allows one to guide the learner in case of difficulty…
Descriptors: Intelligent Tutoring Systems, Foreign Countries, Interdisciplinary Approach, Universities

Jeffries, Robin; And Others – Cognitive Psychology, 1977
The water jug task model was extended to four variations of the Missionaries--Cannibals river-crossing problem. Different cover stories resulted in large differences in number of illegal moves, but no difference in number of legal moves to solution. The three-stage process model explains both legal and illegal moves. (Author/GDC)
Descriptors: Cognitive Processes, Decision Making, Games, Higher Education
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction

Peat, D.; And Others – Instructional Science, 1989
Describes an instructional model, Strategies Program for Effective Learning/Thinking (SPELT), that was developed to translate cognitive psychological theory and research into a practical instructional program. The extent to which SPELT conforms to current instructional design principles is examined, and macro versus micro instructional sequencing…
Descriptors: Cognitive Psychology, Elementary Secondary Education, Instructional Design, Learning Processes
Sebolt, Alberta P. – 1969
The paper addresses itself to the R-L-L Curriculum Model as developed by this Title III ESEA Project. The elements of the model are described: 1) The educational purposes or objectives as defined within the scope of the basic activities of man; 2) The learning experiences necessary for the behavioral objectives stated in terms described by Mager;…
Descriptors: Behavioral Objectives, Community Resources, Concept Teaching, Curriculum Design
Sebolt, Alberta P.; Clegg, Ambrose A., Jr. – 1969
In the planning phase of this ESEA Title III Project, a learning unit was developed to serve as an outline for the first draft of the model. The field-lab approach is stressed in the belief that the "real world" offers a unique learning opportunity, since it includes the "how" of living as well as the inquiry process of…
Descriptors: Behavioral Objectives, Community Resources, Concept Teaching, Curriculum Design
Sebolt, Alberta P.; And Others – 1969
The major reason for using the outdoor history museum as a field laboratory is to provide for small in depth studies of "real life" problems relevant for today's students. An authentic New England village of 1790-1840 provides the background for the sequential development of various concepts in the social studies learning unit. Concepts are…
Descriptors: Behavioral Objectives, Community Resources, Concept Teaching, Curriculum Design
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection