Can Interactive Learning Improve Learning Experience? A Systematic Review of the Literature

Lukita, Henrica; Sujana, Yudianto; Budiyanto, Cucuk Wawan

doi:10.2991/ictte-17.2017.56

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…This was done to avoid the StandardScaler function using the OP data to change anything about the SP data. If the StandardScaler function was fit on the SP and OP data sets together, it would incorrectly inflate the final ability of these models to identify the OP concentrations . The SP data was then split 70:30 into training and validation/test sets.…”

Section: Methodsmentioning

confidence: 99%

Saccharide Concentration Prediction from Proxy Ocean Samples Analyzed Via Infrared Spectroscopy and Quantitative Machine Learning

North,

Enders,

Clark

et al. 2024

ACS Earth Space Chem.

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Solvated organics in the ocean are present in relatively small concentrations but contribute largely to ocean chemical diversity and complexity. Existing in the ocean as dissolved organic carbon (DOC) and enriched within the sea surface microlayer (SSML), these compounds have large impacts on atmospheric chemistry through their contributions to cloud nucleation, ice formation, and other climatological processes. The ability to quantify the concentrations of organics in ocean samples is critical to understanding these marine processes. The work presented herein details an investigation to develop a machine learning (ML) methodology utilizing infrared spectroscopy data to accurately estimate saccharide concentrations in complex solutions. We evaluated multivariate linear regression (MLR), K-nearest neighbors (KNN), decision trees (DT), gradient-boosted regressors (GBR), multilayer perceptrons (MLP), and support vector regressors (SVR) toward this goal. SVR models are shown to best predict accurate generalized saccharide concentrations. Our work presents an application combining fast spectroscopic techniques with ML to analyze organic composition in proxy ocean samples. As a result, we target a generalized method for analyzing field marine samples more efficiently without sacrificing accuracy or precision.

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Section: Methodsmentioning

confidence: 99%

Saccharide Concentration Prediction from Proxy Ocean Samples Analyzed Via Infrared Spectroscopy and Quantitative Machine Learning

North,

Enders,

Clark

et al. 2024

ACS Earth Space Chem.

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“…Interactive learning is a pedagogical approach that actively engages students in the learning process, encouraging them to participate, collaborate, and apply critical thinking skills [16]. This approach shifts away from the traditional one-way transmission of knowledge from teacher to student and instead fosters a dynamic exchange of ideas and experiences.…”

Section: Interactive Learning and Its Connection To Information And C...mentioning

confidence: 99%

The Role of Information and Communication Technology in Interactive Learning

Elmi,

Ambiyar,

Huda

et al. 2024

j.sains manaj. inform. dan kompʹût.

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This article is the result of an in-depth literature review on the role of Information and Communication Technology (ICT) in the context of interactive learning. Education has undergone a significant transformation with the adoption of ICT, transforming the traditional way of learning into a more dynamic and participatory learning experience. The purpose of this literature review is to analyse the positive impact of ICT in shaping interactive learning environments, explore the use of multimedia in the learning process, and identify the challenges and opportunities associated with the application of ICT in education. This literature review describes the transformation of learning through ICT, explaining the paradigm shift from conventional approaches to more adaptive and collaborative interactive learning. The results of this literature review illustrate how important the role of ICT is in shaping the future of education that is more interactive, inclusive and relevant to the demands of the times. Through collaboration between educational institutions, government, and the technology industry, as well as a careful pedagogical approach, ICT can be a catalyst to optimise the learning process and empower students to face the complexities of the modern world.

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“…También se puede hacer uso de los hiperenlaces y "botones de ayuda" para que los alumnos puedan recordar de forma rápida algunos conceptos que se han trabajado con anterioridad, y que son importantes para el correcto seguimiento de la unidad. También proponemos la realización de actividades interactivas (Lukita, Sujana, & Budiyanto, 2017) que además de proporcionarnos una retroalimentación del progreso de los alumnos, puedan ser motivadoras para ellos. Un ejemplo de las mismas, podrían ser:…”

Section: Estructura Y Accesibilidad De Los Contenidosunclassified

Hacia una aplicación efectiva de Metodología Inversa en las asignaturas de Física de primeros cursos de Grado

Gómez-Tejedor

Tort-Ausina

Vidaurre

et al. 2020

Libro De Actas IN-RED 2020: VI Congreso De Innovación Edicativa Y Docencia en Red

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This paper presents the experience of implementing flipped teaching in physics subjects in the first courses of Aerospace Engineering, Computer Engineering and Biomedical Engineering degrees. In order to obtain the opinion of the students, a series of surveys with open and multiple choice questions have been carried out. The results show a great variability of opinions even within the students belonging to the same group. In general, students value positively the efforts made by teachers, but it is necessary for teachers to carry out a series of measures in order to achieve a successful implementation. Among them, it is necessary that the available contents be perfectly structured and accessible, that the contents be interactive and allow information on how the learning process is evolving, that the level of students workload is sustainable and that teachers are aware of that the transition in the learning model requires certain empathy. The implementation of flipped teaching is therefore a complex process that requires a specific adaptation to the teaching context where it is applied.

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Can Interactive Learning Improve Learning Experience? A Systematic Review of the Literature

Cited by 6 publications

References 3 publications

Saccharide Concentration Prediction from Proxy Ocean Samples Analyzed Via Infrared Spectroscopy and Quantitative Machine Learning

Saccharide Concentration Prediction from Proxy Ocean Samples Analyzed Via Infrared Spectroscopy and Quantitative Machine Learning

The Role of Information and Communication Technology in Interactive Learning

Hacia una aplicación efectiva de Metodología Inversa en las asignaturas de Física de primeros cursos de Grado

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