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Giannakas, Filippos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Education and Information Technologies, 2022
Working in groups is an important collaboration activity in the educational context, where a variety of factors can influence the prediction of the teams' performance. In the pertinent bibliography, several machine learning models are available for delivering predictions. In this sense, the main goal of the current research is to assess 28…
Descriptors: Comparative Analysis, Artificial Intelligence, Prediction, Cooperative Learning
Greefrath, Gilbert; Siller, Hans-Stefan; Vorhölter, Katrin; Kaiser, Gabriele – ZDM: Mathematics Education, 2022
Discrete mathematics and mathematical modelling, along with the educational discourse surrounding these, have many connections. However, ways that the educational discourse on discrete mathematics can benefit from the inclusion of examples of mathematical modelling and the accompanying discussion are currently under-researched. In this paper, we…
Descriptors: Mathematical Models, Graphs, Mathematics Instruction, Secondary School Mathematics
Wieland, Sarah – ProQuest LLC, 2022
With increasing costs of higher education, community college pathways to baccalaureate transfer degrees are attractive student alternatives to starting at a traditional four-year institution. However, disparate student outcomes, particularly for underserved student populations, continue to be a concern when considering equitable four-year degree…
Descriptors: Academic Advising, College Transfer Students, Models, Intervention
Cai, Zhiqiang; Marquart, Cody; Shaffer, David W. – International Educational Data Mining Society, 2022
Regular expression (regex) coding has advantages for text analysis. Humans are often able to quickly construct intelligible coding rules with high precision. That is, researchers can identify words and word patterns that correctly classify examples of a particular concept. And, it is often easy to identify false positives and improve the regex…
Descriptors: Coding, Classification, Artificial Intelligence, Engineering Education
Karumbaiah, Shamya; Zhang, Jiayi; Baker, Ryan S.; Scruggs, Richard; Cade, Whitney; Clements, Margaret; Lin, Shuqiong – International Educational Data Mining Society, 2022
Considerable amount of research in educational data mining has focused on developing efficient algorithms for Knowledge Tracing (KT). However, in practice, many real-world learning systems used at scale struggle to implement KT capabilities, especially if they weren't originally designed for it. One key challenge is to accurately label existing…
Descriptors: Artificial Intelligence, Middle School Students, Models, Concept Mapping
András Juhász – European Journal of Physics Education, 2022
In this part we introduce the Smart Dreamcatcher (SD) network, a visualization of the Microcosmos. The SD-network is a geometrical structure (3-uniform hypergraph) which allows a comprehensible explanation of quantitative characteristics of hadron particles at the level of elaboration by physics of 1970's-80's. The elementary particles correspond…
Descriptors: Networks, Nuclear Physics, Models, Science Instruction
Kapusta, Rebecca – ProQuest LLC, 2022
The purpose of this descriptive case study was to understand how authenticity, balance, and challenge were focused upon differently throughout the various stages of women?s careers in intercollegiate athletic administration. Specifically, the research emphasized the career needs of individuals who identified as women in intercollegiate athletic…
Descriptors: Women Administrators, College Athletics, Intercollegiate Cooperation, Career Development
Moraes, Christopher; Blain-Moraes, Stefanie; Morell-Tomassoni, Sierra; Gorbet, Robert B. – International Journal of Technology and Design Education, 2021
Many design frameworks introduced to novices are not compatible with the behaviours and habits of mind of expert designers. This creates a barrier to effective practice, especially when novice designers tackle ill-defined, wicked problems. The W-model is a pedagogical framework that provides a prescriptive design model for novices, enabling them…
Descriptors: Design, Novices, Problem Solving, Models
Beauducel, André; Hilger, Norbert – Educational and Psychological Measurement, 2021
Methods for optimal factor rotation of two-facet loading matrices have recently been proposed. However, the problem of the correct number of factors to retain for rotation of two-facet loading matrices has rarely been addressed in the context of exploratory factor analysis. Most previous studies were based on the observation that two-facet loading…
Descriptors: Factor Analysis, Statistical Analysis, Correlation, Models
Mishra, Bijaya; Reddy, Jagan Mohan – Learning Organization, 2021
Purpose: This paper aims to provide an overview of the Organization Learning and Learning Organization concepts obtaining the perspectives of Professor Mary M. Crossan and presents an evolution of her immense contribution to the field over the past two decades. Design/methodology/approach: A conversation with thought-leader, Professor Mary M.…
Descriptors: Organizational Learning, Personality, Leaders, Leadership Role
Holmes Finch, W. – Educational and Psychological Measurement, 2021
Social scientists are frequently interested in identifying latent subgroups within the population, based on a set of observed variables. One of the more common tools for this purpose is latent class analysis (LCA), which models a scenario involving k finite and mutually exclusive classes within the population. An alternative approach to this…
Descriptors: Group Membership, Classification, Sample Size, Models
DeCarlo, Lawrence T.; Zhou, Xiaoliang – Journal of Educational Measurement, 2021
In signal detection rater models for constructed response (CR) scoring, it is assumed that raters discriminate equally well between different latent classes defined by the scoring rubric. An extended model that relaxes this assumption is introduced; the model recognizes that a rater may not discriminate equally well between some of the scoring…
Descriptors: Scoring, Models, Bias, Perception
Ceylan, Hasan Can; Hardalaç, Naciye; Kara, Ali Can; Hardalaç Firat – World Journal of Education, 2021
Because the classification saves time in the learning process and enables this process to take place more easily, its contribution to music learning cannot be denied. One of the most valid and effective methods in music classification is music genre classification. Given the rapid progress of music production in the world and the significant…
Descriptors: Music, Classification, Automation, Music Education
Cahapay, Michael B. – International Journal of Assessment Tools in Education, 2021
One of the widely known evaluation models adapted to education is the Kirkpatrick model. However, this model has limitations when used by evaluators especially in the complex environment of higher education. Addressing the scarcity of a collective effort on discussing these limitations, this review paper aims to present a descriptive analysis of…
Descriptors: Higher Education, Models, Program Evaluation, Evaluation Problems
Audretsch, David B.; Belitski, Maksim – Studies in Higher Education, 2021
The entrepreneurship and higher education literatures suggest that universities cannot generate significant knowledge spillovers unless knowledge creation is followed by knowledge transformation and commercialization. Although several university business models have been proposed in the literature, extant studies assume that the elements required…
Descriptors: Universities, Entrepreneurship, Business, Models