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Download full textBeena Joseph; Sajimon Abraham – Knowledge Management & E-Learning, 2023
Currently, the majority of e-learning lessons created and disseminated advocate a "one-size-fits-all" teaching philosophy. The e-learning environment, however, includes slow learners in a noticeable way, just like in traditional classroom settings. Learning analytics of educational data from a learning management system (LMS) have been…
Descriptors: Electronic Learning, Learning Management Systems, Slow Learners, Educational Environment
Direct linkRod D. Roscoe; Renu Balyan; Danielle S. McNamara; Michelle Banawan; Dean Schillinger – Grantee Submission, 2023
Modern communication between health care professionals and patients increasingly relies upon secure messages (SMs) exchanged through an electronic patient portal. Despite the convenience of secure messaging, challenges include gaps between physician and patient expertise along with the asynchronous nature of such communication. Importantly, less…
Descriptors: Readability, Physician Patient Relationship, Computer Mediated Communication, Asynchronous Communication
Aicha Adoui, Editor – Palgrave Macmillan, 2025
This edited volume provides a comprehensive examination of the intersection between internationalization of higher education and digital transformation, with a focus on insights from Morocco. Through a series of chapters authored by experts in the field, the book covers a wide range of topics, including critical thinking in intercultural…
Descriptors: Global Approach, Higher Education, Technology Uses in Education, Educational Technology
Marie-Monique Schaper; Mariana Aki Tamashiro; Rachel Charlotte Smith; Ole Sejer Iversen – ACM Transactions on Computing Education, 2025
As emerging technologies are rapidly advancing as part of our societies and everyday life, it is crucial to include and empower all students in learning about computing and advanced technologies. These include technical capabilities of algorithms, such as the use of AI, that enable novel interactions between humans and their environment and give…
Descriptors: Inclusion, Artificial Intelligence, Student Empowerment, Algorithms
Chun-Wei Huang; Linlin Li; Mingyu Feng – Society for Research on Educational Effectiveness, 2025
Background: An efficacy study based on a randomized controlled trial (RCT) was designed to evaluate the impact of ASSISTments on math learning among middle school students, including those from high-needs rural schools. Despite extensive recruitment efforts in 2021 (during the pandemic), only a few schools and their teachers agreed to participate,…
Descriptors: Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students
Chun-Wei Huang; Mingyu Feng; Linlin Li – WestEd, 2025
This is a technical report detailing the analytic methods used to assess the effects of a virtual professional learning community (vPLC)-enhanced ASSISTments intervention. The report uses a quasi-experimental design and partially nested regression model to account for clustering and reveals that while overall effects were positive but not…
Descriptors: Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students
Michael Ridley – College & Research Libraries, 2024
As part of a broader information literacy agenda, academic libraries are interested in advancing algorithmic literacy. Folk theories of algorithmic decision-making systems, such as recommender systems, can provide insights into designing and delivering enhanced algorithmic literacy initiatives. Users of the Spotify music recommendation systems…
Descriptors: Foreign Countries, Academic Libraries, Information Literacy, Artificial Intelligence
De Garrido, Luis – Creativity Research Journal, 2022
The main objective of this paper is the conceptual design of a computational AI system that emulates human creativity. To do this, extensive research has been done on recent discoveries about the neural bases of human creativity. As a result, eleven neurocognitive factors have been identified on which the tremendous creative capacity of the human…
Descriptors: Artificial Intelligence, Brain, Creativity, Program Design
Harisman, Yulyanti; Dwina, Fitrani; Tasman, Fridgo – Journal on Mathematics Education, 2022
This study aims to design case-based learning with lesson study learning trajectory with the help of teaching aids to make students understand Prim's, Cruscal's, and Djiksra's Algorithms. The validation study was selected because it is a suitable method for this research. The research subjects were 41 Mathematics Education Study Program Students…
Descriptors: Case Method (Teaching Technique), Learning Trajectories, Algorithms, Mathematics Education
Stott, Angela Elisabeth – Chemistry Education Research and Practice, 2023
The unit factor method, a generic strategy for solving any proportion-related problem, is known to be effective at reducing cognitive load through unit-cancellation providing step-by-step guidance. However, concerns have been raised that it can be applied mindlessly. This primarily quantitative prepost study investigates the efficacy of…
Descriptors: Chemistry, Science Instruction, Instructional Effectiveness, Teaching Methods
Heng Lu – PASAA: Journal of Language Teaching and Learning in Thailand, 2023
The test view is on the Duolingo English Test (DET), an alternative online English proficiency test with a machine-driven characteristic. The review covers essential information of the DET such as test purpose, usage, score-mapping with CEFR scale, price, and publisher. Meanwhile, the test usefulness is discussed with focuses on reliability,…
Descriptors: Computer Software, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Gomes Junior, José Carmino; Dalila Corbari, Sandra; Kniess, Cláudia Terezinha; Nogueira da Silva, Gérsica Moraes; Piontkewicz, Simone Caroline; de Souza Melo, Maiara; Silveira Carbone, Amanda; Mantovaneli, Oklinger, Jr.; Martins Sobral, Maria do Carmo; Philippi Junior, Arlindo; Fernandez, Felipe; de Aguiar Dutra, Ana Regina; Birch, Robert Samuel; Guerra, José Baltazar Salgueirinho Osório de Andrade; Sampaio, Carlos Alberto Cioce – International Journal of Sustainability in Higher Education, 2023
Purpose: This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs). Design/methodology/approach: The research is characterized as exploratory with qualitative/quantitative…
Descriptors: Sustainable Development, Environmental Education, Well Being, Correlation
Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
