Multitasking Behavior and Perceptions of Academic Performance in University Business Students in Mexico during the COVID-19 Pandemic

Gonz醠es-Gutierrez, Victoria; Álvarez-Risco, Aldo; Estrada‐Merino, Alfredo; Anderson-Seminario, Mar韆 de las Mercedes; Mlodzianowska, Sabina; Del-Aguila-Arcentales, Shyla; Y狁ez, Jaime A.

doi:10.32604/ijmhp.2022.021176

Cited by 9 publications

(6 citation statements)

References 127 publications

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“…Likewise, customer satisfaction was evaluated, mediated by trust, in customer loyalty, which confirmed the enormous importance of achieving customer satisfaction through banks' different in-person and online services. In times of the COVID-19 pandemic [90][91][92][93][94][95][96][97][98][99],…”

Section: Discussionmentioning

confidence: 99%

Effect of Corporate Social Responsibility on Consumer Satisfaction and Consumer Loyalty of Private Banking Companies in Peru

et al. 2022

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This study aimed to determine the effect of corporate social responsibility (CSR) on consumer satisfaction and loyalty in the Peruvian private banking sector. A total of 390 bank consumers fulfilled an online survey. It evaluated the effect of corporate social responsibility (CSR), customer satisfaction (CS), and customer trust (CT) on customer loyalty. The results suggest that CSR and customer satisfaction, through customer trust, have a positive effect on customer loyalty. The model explained 63.6% of customer loyalty. Outcomes of the bootstrapping test showed that the path coefficients were significant. The research findings may help bank managers to understand customers’ satisfaction and trust, which can create a preference and loyalty for their firms. The study’s novelty is based on the use of the partial least square structural equation modeling technique (PLS-SEM) to evaluate CSR in the financial sector in Peru.

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Section: Discussionmentioning

confidence: 99%

Effect of Corporate Social Responsibility on Consumer Satisfaction and Consumer Loyalty of Private Banking Companies in Peru

et al. 2022

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“…Research has shown that students who engage in multitasking behavior have worse academic performance than those who do not engage in multitasking behavior (Gonzáles-Gutierrez et al, 2022). In contrast, students who participated in flipped classrooms, where they acquired basic concepts and principles on their own before class, and then focused on application and discussion during class time, reported engaging in less multitasking behavior and engaging in deep, active learning (McLean et al, 2016).…”

Section: Implementation Of Learningmentioning

confidence: 99%

Analysis of the Weaknesses of Hybrid Learning During the Pandemic: Case Study in Basic Natural Science (Bns) Lectures

Syazali,

ERFAN,

WAHDAH

2023

JES

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Data on deficiencies regarding preparation, planning, processes and assessment is the information needed to make improvement efforts in the future. Therefore, this research was conducted to analyze the weaknesses of hybrid learning implemented in Basic Natural science (BNS) courses. This qualitative descriptive research was carried out at the Primary Teacher Education (PTE) Study Program during the preparation, planning, learning and assessment of learning outcomes. Qualitative data was collected using observation and documentation methods. The collected data was analyzed using qualitative analysis from Miles and Huberman. The weaknesses of hybrid learning that we found include coordination carried out with senior lecturers whose expertise is non-science education, late submission of SIMAKSI to BKSDA, CPMK is limited to Science Process Skills (SPS), objectives only cover basic SPS, there are no guidelines for preparing reports, science topics are limited to ecosystems, multi tasking, the learning time interval is only two weeks, the SPS instrument only uses tests, and the tests are carried out online. It is hoped that these results can be used as evaluation material in order to improve the implementation of hybrid learning in science courses, especially BNS.Keywords: Basic natural sciences, weaknesses, hybrid learning.AbstrakData kekurangan tentang persiapan, perencanaan, proses dan assessment merupakan informasi yang dibutuhkan untuk melakukan upaya perbaikan dimasa yang akan datang. Oleh karena itu, penelitian ini dilakukan untuk menganalisis kelemahan pembelajaran hybrid yang diimplementasikan pada mata kuliah IKD. Penelitian deskriptif kualitatif ini dilaksanakan pada Prodi PGSD selama proses persiapan, perencanaan, pembelajaran sampai dengan penilaian hasil belajar. Data kualitatif dikumpulkan menggunakan metode observasi dan dokumentasi. Data yang terkumpul dianalisis menggunakan analsisi kualitatif dari Miles and Huberman. Kelemahan pembelajaran hybrid yang kami temukan di antaranya koordinasi dilakukan dengan dosen senior yang keilmuannya non-pendidikan sains, telatnya pengajuan SIMAKSI ke BKSDA, CPMK terbatas pada KPS, tujuan hanya mencakup KPS dasar, tidak ada pedoman penyusunan laporan, topik sains dibatasi pada ekosistem, multi tasking, interval waktu pembelajaran hanya dua minggu, instrumen KPS hanya menggunakan tes, dan pelaksanaan tes dilaksanakan secara daring. Hasil ini diharapkan dapat menjadi bahan evaluasi dalam rangka memperbaiki implementasi hybrid learning pada mata kuliah sains khususnya IKD.Kata Kunci: ilmu kealamiahan dasar, kelemahan, pembelajaran hybrid

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“…In addition, in [27], [28] a supervised learning model for rumor verification using contextual features based on contextual word embeddings, speech acts, and the writing style was presented. In [29] the authors collected unstructured data from social networks, using an application implementing different supervised and unsupervised learning classification algorithms.…”

Section: Related Workmentioning

confidence: 99%

Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm

Iparraguirre-Villanueva¹,

Guevara-Ponce²,

Sierra-Linan³

et al. 2022

IJACSA

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Today, web content such as images, text, speeches, and videos are user-generated, and social networks have become increasingly popular as a means for people to share their ideas and opinions. One of the most popular social media for expressing their feelings towards events that occur is Twitter. The main objective of this study is to classify and analyze the content of the affiliates of the Pension and Funds Administration (AFP) published on Twitter. This study incorporates machine learning techniques for data mining, cleaning, tokenization, exploratory analysis, classification, and sentiment analysis. To apply the study and examine the data, Twitter was used with the hashtag #afp, followed by descriptive and exploratory analysis, including metrics of the tweets. Finally, a content analysis was carried out, including word frequency calculation, lemmatization, and classification of words by sentiment, emotions, and word cloud. The study uses tweets published in the month of May 2022. Sentiment distribution was also performed in three polarity classes: positive, neutral, and negative, representing 22%, 4%, and 74% respectively. Supported by the unsupervised learning method and the K-Means algorithm, we were able to determine the number of clusters using the elbow method. Finally, the sentiment analysis and the clusters formed indicate that there is a very pronounced dispersion, the distances are not very similar, even though the data standardization work was carried out.

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Multitasking Behavior and Perceptions of Academic Performance in University Business Students in Mexico during the COVID-19 Pandemic

Cited by 9 publications

References 127 publications

Effect of Corporate Social Responsibility on Consumer Satisfaction and Consumer Loyalty of Private Banking Companies in Peru

Effect of Corporate Social Responsibility on Consumer Satisfaction and Consumer Loyalty of Private Banking Companies in Peru

Analysis of the Weaknesses of Hybrid Learning During the Pandemic: Case Study in Basic Natural Science (Bns) Lectures

Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm

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