scholarly journals Research on key influencing factors of university students' digital competence in blended teaching

2021 ◽  
Vol 11 (4) ◽  
pp. 210-224
Author(s):  
Kai Zhang

Understanding the current state of information and communication technology (ICT) use in teaching situations will help schools better develop students' 21st-century skills to meet the digital age's challenges and opportunities. The purpose of this paper is to provide reference for colleges and universities to formulate the framework and implementation strategies of digital literacy education, by analysing the key factors that influence the digital literacy education of college students. Firstly, based on literature research and activity theory, this paper integrates and refines the influencing factors of digital literacy education of college students from five dimensions, and analyses the key factors affecting digital literacy education. Then, experts were invited to fill in the questionnaire to obtain sample data, and the interaction between the factors was analysed by using the decision-making trial and evaluation laboratory method to identify the key influencing factors. The results show that university policy, cultural environment, ICT infrastructure, teaching management and evaluation system are the five key influencing factors.   Keywords: ICT, digital literacy education, university students, activity theory, DEMATEL

2020 ◽  
pp. 1-12
Author(s):  
Zheng Rong ◽  
Zheng Gang

The student’s political and ideological practices is a vital portion of education, and it is related to optimization of task based on fundamental scenario in establishing morality. In order to establish a scientific, reasonable and operable evaluation model for students’ ideological education, and evaluate the status of college students’ ideological education. In this paper, firstly, in view of the shortcomings of evaluation objectives, single evaluation methods, lack of pertinence of evaluation indicators and subjectivity of evaluation standards in the current evaluation system of university students’ ideological and political education, the basic principles for constructing evaluation models of university students’ ideological and political education are put forward. Secondly, in case to meet changing needs of the times, an artificial neural network algorithm based on artificial intelligence data mining and a traditional multi-layer fuzzy evaluation model are designed to evaluate the ideological and political education of college students. This newly proposed model integrates learning, association, recognition, self-adaptive and fuzzy information processing, and at the same time, it overcomes their respective shortcomings. Finally, an example analysis is carried out with a nearby university as an example. The evaluation results display that the evaluation model of students’ ideological education established in this paper is in good agreement with the previous evaluation results. It fully shows that the comprehensive evaluation model of fuzzy neural network for college students’ ideological and political education established in this paper is scientific and effective.


2021 ◽  
Vol 11 (3) ◽  
pp. 98
Author(s):  
Ayodele Abosede Ogegbo ◽  
Fatimah Yetunde Tijani ◽  
Oyebimpe Adegoke ◽  
Kelechi Ifekoya ◽  
Jane Namusoke

This study assessed the digital skills of female university students and the implications for higher education in Africa. A descriptive survey was used to sample 100 female university students from four African countries (Nigeria, Rwanda, South Africa, and Uganda). The instrument used was the digital competence survey. Two research questions and two hypotheses were postulated and tested. According to the study's findings, most female university students in Nigeria and South Africa have expert and advanced levels of information and digital literacy, communication and collaboration, digital content creation, and safety.On the other hand, Uganda was mainly found at the basic or no levels, whereas Rwanda was mostly found at the intermediate levels. The chi-square analysis reveals a significant difference between the ages of female university students and their DC levels (χ2 =.000; p < 0.05). A significant difference exists between female university students’ program of study and their levels of DC (χ2 = .000; p < 0.05). Students also faced challenges such as a lack of ICT tools, insufficient knowledge and skills, data issues, and poor internet connectivity. The implications of these findings for African higher education institutions suggest that female students, particularly in Rwanda and Uganda, require training to be digitally competent and compete globally with their peers. As a result, we recommend that students from different programs of study with less demand in technology be allowed to take compulsory electives in technology courses while older female students are given adequate support.


2021 ◽  
Vol 11 (4) ◽  
pp. 130
Author(s):  
Katarína Krpálková Krelová ◽  
Kateřina Berková ◽  
Pavel Krpálek ◽  
Andrea Kubišová

At present, when the whole world is struggling with the Covid-19 pandemic, it is important to address both the issue of flexibility when educating the younger generation and the issue of further professional education, which contributes to the development of competences that are directly relevant to life and everyday activities in the 21st century. The common denominator of these competences is digital competence. It is the aspect of education that is of primary and crucial importance for digital literacy development. This re-search study aims at establishing the availability of digital media and atti-tudes towards one’s own technical aids and digital literacy among students of two higher education institutions in the Czech Republic. Empirical research involved 1233 college students. The set research hypotheses were tested with a questionnaire-based survey using the Likert scale. A cluster analysis was conducted in the SPSS program. In view of the ordinal nature of data, the nonparametric Mann–Whitney U test conducted at significance levels of 5% and 1% in SPSS was applied to test the dependence of competence self-assessment on the specialization of the higher education institutions/ study level/ study form. The research has unequivocally proven that digital literacy is influenced by education, in terms of the specific study programme special-ization, study level and study form.


Author(s):  
Eloy López-Meneses ◽  
Fabrizio Manuel Sirignano ◽  
Esteban Vázquez-Cano ◽  
José Manuel Ramírez-Hurtado

This study analysed the digital competence of 1,073 students at one Italian and two Spanish universities using the COBADI 2.0 (Basic Digital Competences/Registered Trademark 2970648) questionnaire. A quantitative methodology was applied to university students’ use of, and competence in, three areas of DigCom 2.1: information and data literacy, communication and collaboration, and digital content creation. The results showed that these future graduates had an upper intermediate level of competence in information and digital literacy, and communication and collaboration, but a lower intermediate level in terms of digital content creation, particularly in the creation and dissemination of multimedia content using different tools. Two student profiles were identified for time spent online: those who dedicated a lot of their time to gaming or interacting on social media, and those who used most of their online time to searching for information and completing academic work.


2021 ◽  
Vol 27 (spe) ◽  
pp. 34-36
Author(s):  
Jin Gang

ABSTRACT The current football can effectively exercise the body of college students and improve their physical health. How to use modern intelligent technology to perform quantitative research on the influencing factors of football on college students’ physical health is the current development trend. Based on this, this paper studies the influencing factors of college students’ physical health under the intervention of football. First of all, this paper puts forward an analysis model of college students’ physical health based on the sarsa algorithm. The autocorrelation function is used to simulate and process the students’ physical information. Through the maximum value of the autocorrelation function curve in the detection process, the detection signal is restored, then the error of the sarsa algorithm is analyzed. Secondly, this paper expounds the influence factors of sarsa algorithm on students’ physical health in football. Fuzzy evaluation method and analytic hierarchy process are used in the evaluation. Aiming at the shortcomings of AHP, the improved sarsa algorithm is used for comprehensive analysis, and an adaptive simulation evaluation system is established. Finally, the effectiveness of the sarsa algorithm in this system is verified by many football experiments.


2020 ◽  
Vol 7 (1) ◽  
pp. 125
Author(s):  
Ozdal Koyuncuoglu

Academic motivation are claimed to be influencing factors on college students' various outcomes. The aim of this study is to compare the academic motivation and career decidedness of university students based on the variables of gender, year of study, academic achievement and expectations for pursuing graduate education. 376 students at Karatay, Selçuk and Necmettin Erbakan University participated in the study. Academic motivation and career decidedness scales were used to collect the data. The findings showed that the academic motivation and career decidedness of university students differed based on the variables of gender, year of study, academic achievement and expectations for pursing graduate education. In addition, it was found that university students’ academic motivation had a positive effect on their career decidedness. Considering the findings of this study, it could be beneficial to pay attention to increasing motivation in university education and to include factors that encourage academic and intrinsic motivation among students.


Author(s):  
Anna Sánchez-Caballé ◽  
Mercè Gisbert-Cervera ◽  
Francesc Esteve-Mon

Digital competence is a pressing need for students in the 21st century. The present study is a systematic review of the literature on university students’ digital abilities. The methodology consisted of selecting documents (n=126) from three different databases (Scopus, Web of Science and ERIC) via peer review. The documents were selected for inclusion following predefined criteria and then analysed using a qualitative analysis software (ATLAS.ti). Digital competence is made up of several elements (information skills, content creation, communication, ethical skills, problem solving, technical skills/use and strategic skills). We identified that the most frequently-used terms in the literature are digital literacy and digital competence. However, the terminology used varies among authors. We also found that most authors do not believe that young people actually have the digital abilities that they are assumed to have. In other words, students do not have a high level of digital competence. Educational institutions therefore need to help them to develop this competence, which is so necessary in the context of 21st century education.


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