NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Indian Education Act 1972…1
What Works Clearinghouse Rating
Showing 1 to 15 of 116 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
Downton, Ann; Bobis, Janette – Mathematics Education Research Group of Australasia, 2022
In the context of a professional learning research project we investigated the nature of support offered to classroom teachers and school mathematics leaders to facilitate teachers' implementation of sequences of challenging tasks. End of year questionnaire data were collected from 70 Foundation to Year 2 teachers and ten numeracy leaders who…
Descriptors: Mathematics Teachers, Mathematics Instruction, Teaching Methods, Instructional Effectiveness
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rüdian, Sylvio; Pinkwart, Niels – International Educational Data Mining Society, 2021
Finding the optimal topic sequence of online courses requires experts with lots of knowledge about taught topics. Having a good order is necessary for a good learning experience. By using educational recommender systems across different platforms we have the problem that the connection to an ontology sometimes does not exist. Thus, the state of…
Descriptors: Online Courses, Sequential Approach, Educational Technology, Computer Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ALSaad, Fareedah; Reichel, Thomas; Zeng, Yuchen; Alawini, Abdussalam – International Educational Data Mining Society, 2021
With the emergence of MOOCs, it becomes crucial to automate the process of a course design to accommodate the diverse learning demands of students. Modeling the relationships among educational topics is a fundamental first step for automating curriculum planning and course design. In this paper, we introduce "Topic Transition Map" (TTM),…
Descriptors: Online Courses, Student Diversity, Student Needs, Course Content
Cortina, José Luis; Visnovská, Jana; Peña, Jesica; Zúñiga, Claudia – Mathematics Education Research Group of Australasia, 2022
This paper discusses the design modifications of a sequence of specified learning goals for teaching early number, which characterise an instructional resource developed in a design research collaboration with teachers in Mexican preschools. Highlighted are the types of research involvement that appear to be necessary in designing resources for…
Descriptors: Sequential Approach, Teaching Methods, Instructional Design, Preschool Teachers
Russo, James; Bobis, Janette; Downton, Ann; Livy, Sharyn; Sullivan, Peter – Mathematics Education Research Group of Australasia, 2022
The current study explores how teachers report using enabling and extending prompts when teaching with sequences of challenging mathematical tasks. Twenty-nine early years primary school teachers completed a questionnaire following their participation in a professional learning project. Findings suggest that teachers': view prompts as important…
Descriptors: Cues, Elementary School Students, Teaching Methods, Task Analysis
Sullivan, Peter; McCormick, Melody – Mathematics Education Research Group of Australasia, 2022
This paper outlines the rationale for, and some elements of, a particular approach to teaching and learning mathematics in the early years. The researchers worked with two school systems to offer both centrally delivered and school-based teacher professional learning, which included the application of illustrative teaching resources. The project…
Descriptors: Mathematics Instruction, Teaching Methods, Elementary School Mathematics, Foreign Countries
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Khan, Md Akib Zabed; Polyzou, Agoritsa – International Educational Data Mining Society, 2023
Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…
Descriptors: Course Selection (Students), Learning Analytics, Academic Advising, Decision Making
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Polyzou, Agoritsa; Nikolakopoulos, Athanasios N.; Karypis, George – International Educational Data Mining Society, 2019
Course selection is a crucial and challenging problem that students have to face while navigating through an undergraduate degree program. The decisions they make shape their future in ways that they cannot conceive in advance. Available departmental sample degree plans are not personalized for each student, and personal discussion time with an…
Descriptors: Markov Processes, Course Selection (Students), Undergraduate Students, Decision Making
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
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
Corovic, Ellen; Downton, Ann – Mathematics Education Research Group of Australasia, 2022
This study reports on an early career Year 2 teacher's reflections of enacting specifically structured resource materials and her practice change when participating in a mathematics professional learning project. A qualitative case study was designed to examine the reflections of a teacher's pre-service and in-service teaching experiences. Data…
Descriptors: Educational Change, Mathematics Instruction, Case Studies, Preservice Teacher Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sánchez, Jamil Fabiola Alvarado; Munguía, José Luis Soto – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
In this paper a didactic proposal is presented which consists of a methodology aimed at secondary level mathematics teachers, the aim of this proposal is to provide the teacher with a tool to design teaching sequences in order to take them to the classroom; These designs have the particularity of incorporating digital technology for the…
Descriptors: Secondary School Mathematics, Mathematics Instruction, Instructional Design, Technology Integration
Seah, Rebecca; Horne, Marj – Mathematics Education Research Group of Australasia, 2022
Building from the evidence-based learning progression in geometric reasoning from the RMFII project, this paper presents data from students' solutions to three problems in geometry and measurement situations to identify key components needed to nurture reasoning. To show emerging analytical reasoning students must coordinate multiple pieces of…
Descriptors: Cognitive Ability, Mathematics Skills, Geometry, Thinking Skills
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8