NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 16 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
McLean, Sarah; Meadows, Ken N.; Heffernan, Austin; Campbell, Nicole – Advances in Physiology Education, 2020
Failed experiments are a common occurrence in research, yet many undergraduate science laboratories rely on established protocols to ensure students are able to obtain results. While it is logistically challenging to facilitate students' conducting their own experiments in the laboratory, allowing students to "fail" in a safe environment…
Descriptors: Decision Making, Internet, Self Efficacy, Science Experiments
Peer reviewed Peer reviewed
Direct linkDirect link
Kong, Yi; Apodaca, Jennifer; Olimpo, Jeffrey T. – International Journal of Science Education, 2022
The Model of the Use of Evolutionary Trees (MUET)-curricular module that systematically and comprehensively introduces the learning of evolutionary trees for the lower-level college students was developed and implemented in an introductory organismal biology laboratory course at a mid-size, doctoral degree-granting institution. A…
Descriptors: Evolution, Biology, Science Instruction, Introductory Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Archila, Pablo Antonio; Molina, Jorge; de Mejía, Anne-Marie Truscott – Research in Science Education, 2020
Contrary to the situation at primary, middle, and secondary school levels, university science courses provide students with very few opportunities to reflect upon the nature of science (NOS). The first goal of this study was to provide evidence that the co-construction of evolutionary trees, an important component of university biology education,…
Descriptors: Undergraduate Students, College Science, Science Instruction, Scientific Principles
Peer reviewed Peer reviewed
Direct linkDirect link
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Technology Systems, 2023
This research presents a proposed approach that could be applied in modeling students' study strategies and performance in higher education. The research used key learning attributes, including intrinsic motivation, extrinsic motivation, autonomy, relatedness, competence, and self-esteem in the modeling. Five machine learning models were…
Descriptors: Student Motivation, Learner Engagement, Undergraduate Students, Learning Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Matuk, Camillia; Uttal, David H. – Research in Science Education, 2020
Biologists use tree diagrams to illustrate phylogenetic relationships among species. However, both novices and experts are prone to misinterpret this notational form. A difficulty with reasoning with cladograms is that intuitive narrative conceptions of evolution as a linear progression interfere with perceiving the hierarchical relationships that…
Descriptors: Undergraduate Students, Biology, Visual Aids, Data Interpretation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Langenhagen, Julian – International Educational Data Mining Society, 2022
Although badges are among the most-used game elements in gamified education, studies about their optimal features to motivate learning are scarce. How should a badge be designed to represent an incentive for a specific goal like optimal exam preparation? This study examines usage data of a higher education learning app to determine whether the…
Descriptors: Data Analysis, Goal Orientation, Computer Software, Game Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Tiahrt, Thomas; Hanus, Bartlomiej; Porter, Jason C. – Decision Sciences Journal of Innovative Education, 2022
Firms desire graduates capable of executing current and future business practices, many of which revolve around data. To meet those needs, we shifted the orientation of our required information systems course from technology to data. Instead of a survey of information systems, students learn the data acquisition-preparation-mining-presentation…
Descriptors: Information Systems, Information Science Education, Computer Software, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Spratto, Elisabeth M.; Leventhal, Brian C.; Bandalos, Deborah L. – Educational and Psychological Measurement, 2021
In this study, we examined the results and interpretations produced from two different IRTree models--one using paths consisting of only dichotomous decisions, and one using paths consisting of both dichotomous and polytomous decisions. We used data from two versions of an impulsivity measure. In the first version, all the response options had…
Descriptors: Comparative Analysis, Item Response Theory, Decision Making, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kulhavy, David L.; Unger, Daniel R.; Viegut, Reid; Hung, I-Kuai; Zhang, Yanli – International Journal of Higher Education, 2020
CITYgreen Geographic Information Systems software was used to develop a campus wide cover type map for Stephen F. Austin State University in an environmental science landscape ecology course. The finding indicated an equal division of forest cover type compared to impervious surface of buildings and paved surface. Once the classification was…
Descriptors: Capstone Experiences, Environmental Education, Ecology, Conservation (Environment)
Peer reviewed Peer reviewed
Direct linkDirect link
Bezerra, Luis Naito Mendes; Silva, Márcia Terra – International Journal of Distance Education Technologies, 2020
In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…
Descriptors: Learning Analytics, Data Collection, Class Size, Online Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Ortiz-Lozano, José María; Rua-Vieites, Antonio; Bilbao-Calabuig, Paloma; Casadesús-Fa, Martí – Innovations in Education and Teaching International, 2020
Student dropout is a major concern in studies investigating higher education retention strategies. However, studies investigating the optimal time to identify students who are at risk of withdrawal and the type of data to be used are scarce. Our study consists of a withdrawal prediction analysis based on classification trees using both…
Descriptors: At Risk Students, Dropouts, Undergraduate Students, Withdrawal (Education)
Peer reviewed Peer reviewed
Direct linkDirect link
Schramm, Thilo; Jose, Anika; Schmiemann, Philipp – CBE - Life Sciences Education, 2021
Evolutionary trees are central to learning about evolutionary processes, yet students at all educational levels struggle to read and interpret them. The synthetic tree-reading model (STREAM), based on published and not yet empirically tested models, was tested to determine whether the assumed hierarchy of the model could be substantiated and how…
Descriptors: Undergraduate Students, Graduate Students, Evolution, Visual Aids
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wolgast, Anett; Barnes-Holmes, Yvonne – Frontline Learning Research, 2022
Being able to coordinate the perspectives of oneself and others is likely to be helpful in educational contexts. For example, teachers need flexible social perspective taking to understand their own perspectives and those of their students. Evidence suggests that reading facilitates social perspective taking because it involves readers…
Descriptors: Context Effect, Perspective Taking, Higher Education, Interpersonal Competence
Peer reviewed Peer reviewed
Direct linkDirect link
Singer, Gonen; Golan, Maya; Rabin, Neta; Kleper, Dvir – European Journal of Engineering Education, 2020
The purpose of this study is to evaluate how learning disabilities (LDs), in combination with accommodations, affect the performance of a decision-tree to predict the stability of academic behaviour of undergraduate engineering students. Additionally, this study presents several examples to illustrate how a college could use the resultant model to…
Descriptors: Learning Disabilities, Academic Accommodations (Disabilities), Undergraduate Students, Engineering Education
Peer reviewed Peer reviewed
Direct linkDirect link
Beaulac, Cédric; Rosenthal, Jeffrey S. – Research in Higher Education, 2019
In this article, a large data set containing every course taken by every undergraduate student in a major university in Canada over 10 years is analysed. Modern machine learning algorithms can use large data sets to build useful tools for the data provider, in this case, the university. In this article, two classifiers are constructed using random…
Descriptors: Foreign Countries, Predictor Variables, Undergraduate Students, College Graduates
Previous Page | Next Page »
Pages: 1  |  2