Comparative analysis of algorithms with data mining methods for examining attitudes towards STEM fields
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparative analysis of algorithms with data mining methods for examining attitudes towards STEM fields
Authors
Keywords
-
Journal
Education and Information Technologies
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-09-02
DOI
10.1007/s10639-022-11216-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Algorithmic thinking development through physical computing activities with Arduino in STEM education
- (2022) Uğur Sarı et al. Education and Information Technologies
- The impact of e-learning, gender-groupings and learning pedagogies in biology undergraduate female and male students’ attitudes and achievement
- (2022) Firas Almasri Education and Information Technologies
- Measuring attitudes towards biology major and non-major: Effect of students’ gender, group composition, and learning environment
- (2021) Firas Almasri et al. PLoS One
- Reducing socioeconomic disparities in the STEM pipeline through student emotion regulation
- (2019) Christopher S. Rozek et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Correlation between tools for thinking; arts, crafts, and design avocations; and scientific achievement among STEMM professionals
- (2019) Robert Root-Bernstein et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Gender in Science, Technology, Engineering, and Mathematics: Issues, Causes, Solutions
- (2019) Tessa E.S. Charlesworth et al. JOURNAL OF NEUROSCIENCE
- Exploring the effectiveness of STEAM design processes on middle school students’ creativity
- (2019) Gulbin Ozkan et al. INTERNATIONAL JOURNAL OF TECHNOLOGY AND DESIGN EDUCATION
- Educational data science in massive open online courses
- (2016) Cristóbal Romero et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Gender Gaps in Achievement and Participation in Multiple Introductory Biology Classrooms
- (2014) Sarah L. Eddy et al. CBE-Life Sciences Education
- Active learning increases student performance in science, engineering, and mathematics
- (2014) S. Freeman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Middle-School Science Through Design-Based Learning versus Scripted Inquiry: Better Overall Science Concept Learning and Equity Gap Reduction
- (2013) Matthew M. Mehalik et al. JOURNAL OF ENGINEERING EDUCATION
- Attitudes towards science, technology, engineering and mathematics (STEM) in a project-based learning (PjBL) environment
- (2011) Kuo-Hung Tseng et al. INTERNATIONAL JOURNAL OF TECHNOLOGY AND DESIGN EDUCATION
- National differences in gender-science stereotypes predict national sex differences in science and math achievement
- (2009) B. A. Nosek et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Open-Source Tools for Data Mining
- (2008) Blaz Zupan et al. CLINICS IN LABORATORY MEDICINE
- Evaluation of parameters affecting earthquake damage by decision tree techniques
- (2008) Betül Şengezer et al. NATURAL HAZARDS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started