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Roee Peretz; Natali Levi-Soskin; Dov Dori; Yehudit Judy Dori – IEEE Transactions on Education, 2024
Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…
Descriptors: Models, Engineering Education, Thinking Skills, Systems Approach
David B. Spight; Deirdre Mooney; Rachael Orr – NACADA Review: Academic Advising Praxis and Perspectives, 2023
Advising programs for undecided/exploratory students risk reinvention of the wheel through lack of familiarity with existing literature. This lack can also leave the scholar and the practitioner unable to identify potential gaps within the research. Applying the methodological approach of qualitative historiography to literature from 1950 to 2022,…
Descriptors: Academic Advising, Historiography, Decision Making, Risk
Main, Joyce B.; Griffith, Amanda L.; Xu, Xinrui; Dukes, Alexandra M. – Journal of Engineering Education, 2022
Background: Increasing interest and participation in engineering is vital if the United States is to create the larger technological and scientific labor force it needs to meet the challenges of the 21st century. Students' pathways into the different engineering majors provide important information for this effort. Purpose: This study addresses…
Descriptors: Majors (Students), Engineering Education, Career Pathways, Educational Background
Timothy Scott; Wenyu Guan – SAGE Open, 2024
This research rigorously examines the determinants shaping undergraduate student outcomes within two small private Thai universities, specifically Asia-Pacific International University and Krirk University. The emphasis on small private universities is deliberate, given their heightened vulnerability to institutional instability. This…
Descriptors: Outcomes of Education, Private Colleges, Models, Correlation
Laura Natividad-Sancho; Regina Gairal-Casadó; Teresa Sordé Martí; Carme Garcia Yeste – Educational Research, 2024
Background: It is widely recognised internationally that participation in higher education is likely to lead to increased opportunities and resources. However, only a minority of learners from Roma backgrounds continue into post-compulsory education. As important research into inclusion continues, more attention must be paid to the identification…
Descriptors: Foreign Countries, Minority Group Students, Migrants, Ethnic Groups
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
Taylor, Jason L.; Martineau, Mike – New Directions for Institutional Research, 2019
Decades of research suggest that faculty play a critical role in student learning and success, yet at many institutions, faculty are not integrated into the institutional research function. This chapter examines how institutional research and faculty can collaborate to encourage data-informed faculty decision-making to drive student success and…
Descriptors: Academic Achievement, College Faculty, Teacher Role, Decision Making
Nahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
Yanagiura, Takeshi – Community College Review, 2023
Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…
Descriptors: Community Colleges, Community College Students, Educational Indicators, Outcomes of Education
Toprak, Emre; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…
Descriptors: Comparative Analysis, Classification, Artificial Intelligence, Networks
Ho, Maxwell Chun Sing; Lee, Daphnee Hui Lin – Asia-Pacific Education Researcher, 2020
A standardised financial literacy curriculum ensures that all students in a school system receive financial knowledge, which offers them the necessary support to make informed decisions about money management and practise appropriate financial behaviour. In Hong Kong, all secondary schools supposed to teach financial literacy via a standardised…
Descriptors: Money Management, Curriculum Development, Teaching Methods, Standards
Bravo-Torija, Beatriz; Jiménez-Aleixandre, María-Pilar – International Journal of Science and Mathematics Education, 2018
This paper outlines an initial learning progression for the use of evidence to support scientific arguments in the context of decision-making. Use of evidence is a central feature of knowledge evaluation and, therefore, of argumentation. The proposal is based on the literature on argumentation and use of evidence in decision-making contexts. The…
Descriptors: Evidence, Decision Making, Academic Achievement, Models
Eric A. Hanushek; Lavinia Kinne; Philipp Lergetporer; Ludger Woessmann – Annenberg Institute for School Reform at Brown University, 2020
Patience and risk-taking -- two cultural traits that steer intertemporal decision-making -- are fundamental to human capital investment decisions. To understand how they contribute to international differences in student achievement, we combine PISA tests with the Global Preference Survey. We find that opposing effects of patience (positive) and…
Descriptors: Academic Achievement, Cultural Traits, Risk, Cross Cultural Studies
Entrich, Steve R. – Asia Pacific Journal of Education, 2019
According to sociological rational choice theory, students' class-specific educational decisions at key transition points significantly contribute to educational and social inequalities. Yet, while theory missed to clearly accentuate all relevant actors' influences on students' decisions, research generally failed to adequately empirically account…
Descriptors: Student Attitudes, Decision Making, Social Differences, Family Characteristics
Samad, Sarminah; Nilashi, Mehrbakhsh; Ibrahim, Othman – Education and Information Technologies, 2019
Social networking sites have played an important role in enhancing students' social presence. As an educational tool for online courses, they have significantly contributed in promoting students' motivation for learning. The aim of this research is to investigate the impact of social networking sites on students' academic performance. We conduct a…
Descriptors: Social Networks, Academic Achievement, Correlation, Social Media