NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing all 15 results Save | Export
Jane Hubbard – Mathematics Education Research Group of Australasia, 2024
The current paper overviews a nine-month PhD study that investigated the impact of learning mathematics through sequences of challenging tasks on the mathematical competence and attitudes of Year 2 students (n = 59). Adopting a Self-Determination Theory lens, a pragmatist paradigm and a mixed-method design, the study found that at all levels of…
Descriptors: Self Determination, Learning Processes, Mathematics Education, Elementary School Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nur, Andi Saparuddin; Kartono, Kartono; Zaenuri, Zaenuri; Rochmad, Rochmad – Participatory Educational Research, 2022
The integer is a basic concept in studying arithmetic and algebra. However, students still frequently experience misconceptions, especially in negative integer, count operations. Traditional games are activities that are often carried out by students in coastal areas so that they are relevant to be used as a tool to construct learning trajectories…
Descriptors: Learning Processes, Elementary School Students, Grade 6, Preadolescents
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kang, Jina; An, Dongwook; Yan, Lili; Liu, Min – International Educational Data Mining Society, 2019
Collaborative problem-solving (CPS) as a key competency required in the 21st century. There has been an increasing need to understand CPS since it involves not only cognitive but also social processes, and thus its process is difficult to examine. Recent research has highlighted that computer-based learning environments provide an opportunity for…
Descriptors: Cooperative Learning, Problem Solving, Science Education, Educational Games
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Ouhao; Retnowati, Endah; Kalyuga, Slava – British Journal of Educational Psychology, 2020
Background: The worked example effect in cognitive load theory suggests that providing worked examples first followed by solving similar problems would facilitate students' learning. Using problem solving-worked example sequence is another way of implementing example-based instruction. Although research has demonstrated the superiority of worked…
Descriptors: Problem Solving, Cognitive Ability, Learning Processes, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Keisar, Einav; Peled, Irit – Research in Mathematics Education, 2018
Children in a first-grade class who were taking their first steps in formal mathematical knowledge were given a sequence of five modelling tasks during their regular mathematics lessons. These tasks were different in nature from the problems they encountered in their textbooks. They are more complex and challenging, requiring analysis of the…
Descriptors: Grade 1, Sequential Approach, Task Analysis, Mathematics Activities
Peer reviewed Peer reviewed
Direct linkDirect link
Cheng, Ya-Wen; Wang, Yuping; Cheng, I-Ling; Chen, Nian-Shing – Interactive Learning Environments, 2019
Collaborative learning has long been proved to be a crucial agent for enhancing students' social skills, problem-solving abilities and individual learning performance. Understanding how students move from one phase to another in their collaboration process can inform educators of how best to facilitate such learning. However, this is still an area…
Descriptors: Interaction, Computer Simulation, Mathematics Activities, Computer Games
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – International Educational Data Mining Society, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Intelligent Tutoring Systems, Sequential Approach, Problem Solving, Learning Processes
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Glaser-Opitz, Henrich; Budajová, Kristina – Acta Didactica Napocensia, 2016
The article introduces a software application (MATH) supporting an education of Applied Mathematics, with focus on Numerical Mathematics. The MATH is an easy to use tool supporting various numerical methods calculations with graphical user interface and integrated plotting tool for graphical representation written in Qt with extensive use of Qwt…
Descriptors: Mathematics Education, Computer Software, Computer Assisted Instruction, College Mathematics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
Hsieh, Ya-Hui; Lin, Yi-Chun; Hou, Huei-Tse – Educational Technology & Society, 2015
Unlike most research, which has primarily examined the players' interest in or attitude toward game-based learning through questionnaires, the purpose of this empirical study is to explore students' engagement patterns by qualitative observation and sequential analysis to visualize and better understand their game-based learning process. We…
Descriptors: Elementary School Students, Learner Engagement, Educational Games, Teaching Methods
Peer reviewed Peer reviewed
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
BRIGGS, LESLIE J. – 1967
RESEARCH ON SEQUENCING OF INSTRUCTION CAN BE DIVIDED INTO NINE TYPES ACCORDING TO DIFFERENT DIMENSIONS ON WHICH THE EXPERIMENTS VARY. SITUATIONS IN WHICH THE LEARNER CONTROLS THE OBJECTIVES ARE DIFFICULT TO EVALUATE EXPLICITLY BECAUSE OF DIFFERING CONTENT LEARNED. AMONG EXPERIMENTER-CONTROLLED LEARNING SITUATIONS, THE WORK OF GAGNE AND HIS…
Descriptors: Course Organization, Curriculum Design, Educational Experiments, Experimental Programs
Glaser, Robert, Ed. – 1965
This collection of 17 papers relating behavioral science theory to the process of experimental education grew out of a 1963 National Education Association symposium on research in programed instruction. Perspectives and the technology of programing are described in this updated and supplemental successor to the source book, "Teaching Machines…
Descriptors: Behavioral Science Research, Computer Assisted Instruction, Conferences, Discovery Learning
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