From crisis to opportunity: practices and technologies for a more effective post-COVID classroom

Regnier, Jeremie; Shafer, Ethan; Sobiesk, Edward; Stave, Nicholas; Haynes, Malcolm

doi:10.1007/s10639-023-11929-9

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…Research must assess various frameworks to ensure the long-term sustainability of online education beyond the COVID-19 lockdown [32][33][34]. This evaluation should adopt a holistic approach, which considers both the individual circumstances of students and the casuistics of new online academic modalities.…”

Section: Introductionmentioning

confidence: 99%

Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment

Puyana-Romero,

Larrea-Álvarez,

Díaz-Márquez

et al. 2024

Sustainability

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In recent years, great developments in online university education have been observed, favored by advances in ICT. There are numerous studies on the perception of academic performance in online classes, influenced by aspects of a very diverse nature; however, the acoustic environment of students at home, which can certainly affect the performance of academic activities, has barely been evaluated. This study assesses the influence of the home acoustic environment on students’ self-reported academic performance. This assessment is performed by calculating prediction models using the Recursive Feature Elimination method with 40 initial features and the following classifiers: Random Forest, Gradient Boosting, and Support Vector Machine. The optimal number of predictors and their relative importance were also evaluated. The performance of the models was assessed by metrics such as the accuracy and the area under the receiver operating characteristic curve (ROC_AUC-score). The model with the smallest optimal number of features (with 14 predictors, 9 of them about the perceived acoustic environment) and the best performance achieves an accuracy of 0.7794; furthermore, the maximum difference for the same algorithm between using 33 and 14 predictors is 0.03. Consequently, for simplicity and the ease of interpretation, models with a reduced number of variables are preferred.

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Section: Introductionmentioning

confidence: 99%

Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment

Puyana-Romero,

Larrea-Álvarez,

Díaz-Márquez

et al. 2024

Sustainability

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ChatGPT adoption and its influence on faculty well-being: An empirical research in higher education

Cambra-Fierro,

Blasco,

López-Pérez

et al. 2024

Educ Inf Technol

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Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI) tools across a variety of areas. Higher education, like other domains, has embraced these innovations, with ChatGPT emerging as one of the latest additions. Faculty perception, ability, and willingness to adopt these new tools remain fundamental factors in understanding their proliferation and adoption. However, it’s equally important to strike a balance between reaping the benefits of technology and safeguarding the well-being of faculty members. Against this backdrop, this study assesses the impact of a series of factors on ChatGPT adoption among university faculty members, taking as reference the Technology Acceptance Model (TAM). Additionally, we analyze the impact of ChatGPT adoption on faculty well-being. All hypotheses are tested using covariance-based structural equation modeling (CB-SEM). The findings highlight the positive influence of perceived usefulness, ease of use and enjoyment on ChatGPT adoption. Moreover, ChatGPT adoption seems to boost faculty’ happiness and energy, while diminishing their stress levels. Theoretical and practical implications are discussed in the last section.

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E-Government Efforts Through a Culture of Intranet Use E-Learning Green Computing in Environmental Schools as a Solution to Prevent Global Warming (A Paperless Study on Integrated Environmental Education-based Schools at SDN Lowokwaru 2 Malang)

‎,

Ngarawula,

Jatmikowati

2024

KSS

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Global warming is a serious environmental problem, one of the causes of global warming is the cutting down of forests to produce paper. Paperless evaluation in elementary schools can be a revolutionary solution to prevent global warming. The purpose of this study is to describe and analyze the success of paperless culture and measure the strength of factors on the routine use of e-learning green computing intranet in Adiwiyata schools. Previous studies have mostly discussed the impact of environmental learning on students’ awareness of the importance of protecting the environment. This research can provide new information on preventing global warming of paperless evaluation routine culture. This research uses a qualitative approach. Data were collected through interviews, observations, and documentation. Research question one used interactive analysis and research question two used Force Field Analysis (FFA). The results of this study found that the success of the paperless evaluation routine can shape the e-government character culture. The conclusion is that paperless evaluation can save one tree every year because the supporting factors are powerful and greatly contribute to preventing global warming. Keywords: e-learning, computing, green, intranet, paperless

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From crisis to opportunity: practices and technologies for a more effective post-COVID classroom

Cited by 3 publications

References 29 publications

Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment

Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment

ChatGPT adoption and its influence on faculty well-being: An empirical research in higher education

E-Government Efforts Through a Culture of Intranet Use E-Learning Green Computing in Environmental Schools as a Solution to Prevent Global Warming (A Paperless Study on Integrated Environmental Education-based Schools at SDN Lowokwaru 2 Malang)

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