Showing papers in "Education and Information Technologies in 2023"
5 citations
5 citations
4 citations
TL;DR: In this article , the authors examined the use of social media in higher education, connecting students' learning with daily life, and found that respondents perceived social media as influential in helping them access study-related information.
Abstract: Social media use is widely accepted in higher education, connecting students' learning with daily life. Considering the potential of social media to revolutionize the whole spectrum of teaching and learning, this study examines social media usage of business school students of different majors and their perception of social media as learning aids through a quantitative online survey guided by the 5E instructional model, with 423 valid responses from students majoring in accounting, finance, and economics. Results indicated that respondents perceived social media as influential in helping them access study-related information. It facilitated comprehensive learning, information access, information sharing, and student communication with instructors. Significant differences in perceptions of using social media as aids for business learning were found among students of different demographics, including gender, education level, and residence, but not quite for different majors. While various studies have examined the use of social media in education, scant studies focus on business school students under the lens of the 5E instructional model, especially Asians.
4 citations
4 citations
TL;DR: In this article , a systematic literature review was conducted through the three most relevant scientific databases - Web of Science, Scopus, ScienceDirect, and PubMed with Google Scholar as a supporting database.
Abstract: Games have been used as a learning tool for centuries. Gamification and game-based learning are becoming more prominent in educational settings for several reasons. When it comes to learning, being focused and immersed can massively improve a student's experience. The purpose of this study is to map the emerging trends of gamification and game-based learning (GBL) in the Vocational and Education Training (VET) sector. For this purpose, a Systematic Literature Review was conducted through the three most relevant scientific databases - Web of Science, Scopus, ScienceDirect, and PubMed with Google Scholar as a supporting database. The obtained sample was further selected following the PRISMA guidelines with screening and eligibility processes conducted based on inclusion criteria that were defined with consideration to the research's aim. This review comprised seventeen studies. The findings revealed a growing interest in the Asian continents in research from 2020 onwards. Furthermore, most of the study is centred on vocational schools and colleges in the engineering and healthcare fields. According to the overview, the digital learning platform and simulation technology are the most promising tools used in the research. The findings support the conclusion that gamification and game-based learning can improve academic performance, engagement, and motivation in vocational education learners. As a result, this study suggests that more research is needed to determine the gamification strategies that are most suited for vocational education and learning.
3 citations
TL;DR: In this paper , the authors identify digital transformation initiatives (DTI) taken by higher education institutions, defining the new processes and technologies used to implement them, and conclude that HEIs are in the first steps to digital maturity as only 1 in 4 have a digital strategy and 56% have launched isolated DTI that are not integrated in a plan and do not have a high strategic return value to the organization.
Abstract: Higher Education Institutions (HEIs) are involved in an evolution to a new model of university called digital university. This model implies not only adopting new technologies but also developing an organizational strategic transformation which includes information, processes, human aspects, and more. Because an organization's digital maturity correlates with the scope of its digital transformation efforts, this study aims to identify digital transformation initiatives (DTI) taken by HEIs, defining the new processes and technologies used to implement them. The main motivation is to have a real and clear vision of how universities are transforming themselves, discovering the most relevant DTI that they have applied and if they are doing it through an integrated plan aligned with a digital strategy, as recommended by experts. We conducted a Multivocal Literature Review, as methodology research, to include both academic and grey literature in the analysis. Main results show that the DTI implemented are primarily focused on providing a quality and competitive education (24% of 184 DTI from 39 different universities analyzed). Emerging technologies most frequently used are advanced analytics (23%), cloud (20%) and artificial intelligence (16% of total DTI). We conclude that HEIs are in the first steps to digital maturity as only 1 in 4 have a digital strategy and 56% have launched isolated DTI that are not integrated in a plan and do not have a high strategic return value to the organization.
3 citations
TL;DR: In this paper , an online-supported peer feedback module for large-scale use to enhance higher education students' argumentative essay writing performance was proposed. But, the authors did not evaluate the effectiveness of the module on a large scale in higher education for complex tasks.
Abstract: We know little to what extent peer feedback strategies can be applied on a large scale in higher education for complex tasks. This study aimed to design, implement, and evaluate an online-supported peer feedback module for large-scale use to enhance higher education students' argumentative essay writing performance. To do this, 330 students from five different courses at bachelor and master levels followed the online supported peer feedback module. In this module, students were asked to write an argumentative essay about a controversial issue, provide peer feedback for two peers, and revise their original essays based on the received feedback. Three types of data including original essay (pre-test) data, peer feedback data, and revised essay (post-test) data collected. Students also filled out the learning satisfaction questionnaire at the end of the module. The findings showed that the suggested online-supported peer feedback module was effective in improving students' argumentative essay quality in all courses at the bachelor and master levels. The findings also showed there is a difference in the level of students' satisfaction with the module among the courses and between the education levels. The findings of this study provide insights into and add value to the scalability of online peer feedback tools for argumentative essay writing in different contexts. Based on the findings, recommendations for future studies and educational practice are provided.
3 citations
3 citations
3 citations
TL;DR: In this article , the authors investigated the role of education in modulating the effect of ICT on governance in 53 African countries between 2002 and 2020 and found that the interaction between ICT and education procure positive net effects on governance.
Abstract: This study investigates the role of education in modulating the effect of ICT on governance in 53 African countries between 2002 and 2020. The Two-Step System Generalized Method of Moment (GMM) strategy is adopted to address the potential endogeneity problem. Governance is computed as a composite index that encompasses the six indicators of the Worldwide Governance Indicators (Control of corruption, rule of law, political stability, regulatory quality, government effectiveness, and voice and accountability). ICT is measured by the number of individuals using the internet, mobile cellular subscribers and fixed broadband subscription. The findings of the study reveal that the quality of governance in Africa is enhanced by growth in ICT. The findings further indicate that the interaction between ICT and education procure positive net effects on governance. In addition, we observed that ICT still enhances the quality of governance in African countries that have adopted the French civil law and the British common law system. The study suggests the design of policies for enhancing e-governance and ICT in African institutions, and are recommended to be used as part of the school curriculum for quality management.
TL;DR: In this paper , a correlational study was conducted to investigate to what extent ICT usage categories predict preservice science teachers' TPACK, and the results indicated that approximately a third of the variability in total TPACK scores can be accounted for by three ICT measures.
Abstract: Designing effective and efficient learning environments by integrating recent educational technologies into the teaching process has become an important goal of education for nearly two decades. However, earlier studies showed that a higher level of technology knowledge does not guarantee the development of TPACK. At this point, studies guided by the transformative approach defining TPACK as a unique knowledge revealed encouraging results for a better understanding of technology-integrated instruction. This study aims to investigate to what extent ICT usage categories predict preservice science teachers’ TPACK. Totally 326 preservice science teachers with a mean age of 21.62 (SD = 1.41) from seven different universities participated. For that purpose, a correlational study was conducted. The ICT-TPACK-Science Scale and the ICT Usage Questionnaire were used to collect data. Six separate multiple regression analyses were conducted to predict TPACK measures using ICT measures. Results indicated that approximately a third of the variability in total-TPACK scores can be accounted for by three ICT measures. The relative importance of individual predictors is arranged in the following order desktop software, emerging ICTs, and hardware. As for the dimensions of the ICT-TPACK-Science Scale, the overall effect of the ICT predictors decreased in the following order: Designing, implementing, planning, proficiency, and ethics. Emerging ICTs made the highest contribution to the designing and proficiency dimensions; while desktop software made the highest contribution to the implementing, planning, and ethics dimensions. To sum up, this study describes the association between ICT usage and TPACK in the view of the transformative ICT-TPACK-Science framework. The utilization and transformation of ICT tools as a cognitive partner for effective and efficient science teaching in different TPACK dimensions needs further investigation.
TL;DR: In this paper , the authors examined whether and to what extent university student online learning performance was influenced by individual technology fit (ITF), task-technology fit (TTF), environment technology fit, and whether the influence was mediated by their behavioral, emotional, and cognitive engagement.
Abstract: The present study aimed to examine whether and to what extent university student online learning performance was influenced by individual-technology fit (ITF), task-technology fit (TTF), environment-technology fit (ETF), and whether the influence was mediated by their behavioral, emotional, and cognitive engagement. A theoretical research model was developed by integrating the extended TTF theory and student engagement framework. The validity of the model was assessed using a partial least squares structural equation modeling approach based on data collected from 810 university students. Student learning performance was influenced by TTF (β = 0.25, p < 0.001), behavioral engagement (β = 0.25, p < 0.001), and emotional engagement (β = 0.27, p < 0.001). Behavioral engagement was affected by TTF (β = 0.31, p < 0.001) and ITF (β = 0.41, p < 0.001). TTF, ITF, and ETF were observed as significant antecedents of emotional engagement (β = 0.49, p < 0.001; β = 0.19, p < 0.001; β = 0.12, p = 0.001, respectively) and cognitive engagement (β = 0.28, p < 0.001; β = 0.34, p < 0.001; β = 0.16, p < 0.001, respectively). Behavioral and emotional engagement served as mediators between fit variables and learning performance. We suggest the need for an extension to the TTF theory by introducing ITF and ETF dimensions and demonstrate the important role of these fit variables in facilitating student engagement and learning performance. Online education practitioners should carefully consider the fit between the individual, task, environment, and technology to facilitate student learning outcomes.
TL;DR: In this article , a machine learning model for predicting dropout in school systems is proposed, based on individual trajectories of students, incorporating the student situation at school, family, among other levels, changes, and accumulation of events.
Abstract: School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due to COVID-19 pandemic, in this paper we propose a methodology to design, develop, and evaluate a machine learning model for predicting dropout in school systems. In this methodology, we introduce necessary steps to develop a robust model to estimate the individual risk of each student to drop out of school. As advancement from previous research, this proposal focuses on analyzing individual trajectories of students, incorporating the student situation at school, family, among other levels, changes, and accumulation of events to predict dropout. Following the methodology, we create a model for the Chilean case based on data available mostly through administrative data from the educational system, and according to known factors associated with school dropout. Our results are better than those from previous research with a relevant sample size, with a predictive capability 20% higher for the actual dropout cases. Also, in contrast to previous work, the including non-individual dimensions results in a substantive contribution to the prediction of leaving school. We also illustrate applications of the model for Chilean case to support public policy decision making such as profiling schools for qualitative studies of pedagogic practices, profiling students' dropout trajectories and simulating scenarios.
TL;DR: In this article , the authors explored how the application of this challenge-based gamified program in to learning process of students can increase students' motivation, flow, and academic success through the generated competition and challenge.
Abstract: Despite the growing attention towards gamification in learning context, challenge-based gamification application has rarely been subjected to testing in education. In recognition of this void, and grounded on gamification principles, we developed Educhall web-based program. Drawing on self-determination theory, and flow theory the present study aims to explore how the application of this challenge-based gamified program in to learning process of students can increase students' motivation, flow, and academic success through the generated competition and challenge. The study applied a random experimental research design within distance learning context with 30 university students of control group and 30 students of experimental group who used the Educhall application for one academic semester. In line with self-determination theory, it was statistically evidenced that application of challenge-based gamified learning method increased level of academic performance and overall motivation. Of the motivational sub factors, experimental group reported significantly higher confidence level and satisfaction towards the course. Furthermore, grounded on flow theory, the study showed that challenge-based gamified learning increased flow level of learners but not significantly which warrants further data collection and experimental research in future studies. Implications for research and practice are discussed.
TL;DR: In this article , the authors provide a systematic literature review using bibliometric analysis techniques and content analysis to provide a map of research produced between 2009 and 2021, identifying theoretical frameworks, current research trends, and patterns in this field.
Abstract: Abstract The use of social media in higher education has been demonstrated in a number of studies to be an attractive and contemporary method of teaching and learning. However, further research and investigation are required in order to align social media's pedagogical benefits with the theoretical perspectives that inform educational practices. It is the objective of this study to provide a systematic literature review using bibliometric analysis techniques and content analysis to provide a map of research produced between 2009 and 2021. This study aims to identify theoretical frameworks, current research trends, and patterns in this field. A total of 772 publications were analysed using bibliometric methodology, while a subset of 55 publications were analysed using content analysis. As indicated by the results, there is still a growing interest in this area of research, with recent studies still focusing on attitudes towards the use of social media in teaching and learning. According to the content analysis, technology acceptance theories and learning theories are the most commonly used reference theories. This field has yet to elaborate on pedagogical theory, and there is a tendency to rely primarily on technology acceptance models rather than pedagogical models. A discussion of future practice and research implications is also provided.
TL;DR: In this article , the authors compared the effect of two face-to-face (F2F) and e-learning education methods on learning, retention, and interest in English language courses.
Abstract: This study compared the effect of two face-to-face(F2F) and e-learning education methods on learning, retention, and interest in English language courses. Participants were EFL students studying at Islamic Azad University, for the academic year 2021–2022. A multiple-stage cluster-sampling method was used to select the target participants. Three hundred and twenty EFL learners participated in the study. Students were studying in different majors: accounting, economics, psychology, physical education, law, management, and sociology. Two English tests were applied, a teacher-made VTS (Vocabulary Size Test) and an achievement test (including reading comprehension and grammar questions). Also, a questionnaire was applied to measure the students’ learning interest in F2F and online learning groups. The study found significant differences in learning outcomes related to students’ English learning and vocabulary retention rates. It was seen that the E-learning group that participated in online sessions through the Learning Management Systems (LMS) platform outperformed the F2F group. Another critical finding revealed that learners’ interest in learning English in E-learning classes was higher than in the F2F group. In addition, all constructs of interest (feeling happy, attention, interest, and participation) were higher in scores in the E-learning than in the F2F group. Language teachers, university instructors, educators, syllabus designers, school administrators, and policymakers might rethink their teaching approaches and incorporate E-learning into the curriculum to meet their students’ needs.
TL;DR: In this article , the authors designed an online gamified learning activity incorporating multi-representational scaffolding and compared the differences in the learning achievement and motivation for the gamified activity and general synchronous distance learning.
Abstract: Gamified learning is an instructional strategy that motivates students to learn, and the use of multiple representations assists learning by promoting students' thinking and advanced mathematical problem-solving skills. In particular, emergency distance learning caused by the COVID-19 pandemic may result in a lack of motivation and effectiveness in learning. This study designed an online gamified learning activity incorporating multi-representational scaffolding and compared the differences in the learning achievement and motivation for the gamified activity and general synchronous distance learning. In addition, for the group that conducted the gamified learning activity, we measured the participants' flow, anxiety, and emotion during the activity. A total of 36 high school students participated in the experiment. The results indicated that the gamified learning activity was not significantly effective in terms of enhancing learning achievement. In terms of learning motivation, a significant decrease in motivation was found for the group using general synchronous learning, while a significant increase in motivation was found for the group using synchronous gamified learning. This indicates that despite the negative impact of the pandemic on learning, gamified learning still enhances students' learning motivation. The results of flow, anxiety, and emotion showed that the participants had a positive and engaged experience. Participants provided feedback that the multi-representational scaffolding facilitates learning.
TL;DR: In this paper , a survey with 325 college students was conducted to explore their continuous usage intention of asynchronous online courses and structural equation modeling analysis was carried out to analyze the relationships between the key influencing factors and students' continuous use intention.
Abstract: Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students’ continuous usage intention of asynchronous online courses in the context of higher education. This study incorporated four key factors (intrinsic motivation, extrinsic motivation, perception of multiple sources, and cognitive engagement) associated with students’ continuous usage intention of asynchronous online courses into technology acceptance model (TAM) to identify the influencing factors on students’ continuous usage intention. A survey with 325 college students was conducted to explore their continuous usage intention of asynchronous online courses and structural equation modeling analysis was carried out to analyze the relationships between the key influencing factors and students’ continuous usage intention. The results showed that cognitive engagement was the only factor that directly related to continuous usage intention. Intrinsic motivation, extrinsic motivation, and perception of multiple sources indirectly correlated with students’ continuous usage intention through different pathways. The results of the study have several theoretical and practical implications. Theoretically, the study verified what key learning factors incorporated into TAM and in what way they relate to the continuous usage intention of asynchronous online courses. Practically, the present study indicated that it is required to take intrinsic motivation, extrinsic motivation, perception of multiple sources, cognitive engagement and TAM into consideration when designing and conducting asynchronous online learning courses to ensure college students’ continuous usage intention of asynchronous online courses.
TL;DR: In this article , the authors investigate how online collaboration can support the learning of science, technology, engineering, and mathematics (STEM) in higher education and find that online collaborative learning through small group discussions prompt knowledge co-construction, and higher-order thinking skills in STEM subjects.
Abstract: This study aims to investigate how online collaboration can support the learning of science, technology, engineering, and mathematics (STEM) in higher education. Empirical data were collected from 88 postgraduate students studying at the African Centre of Excellence for Innovative Teaching Learning Mathematics and Science (ACEITLMS) using online oral interviews and two five-point Likert scale questionnaires. Interviews were analysed through content analysis while data from the questionnaire were scanned through the Statistical Package for Social Scientists (SPSS) to compute descriptive statistics and Spearman rho correlation coefficient. The findings indicate that online collaborative learning through small group discussions prompt knowledge co-construction, and higher-order thinking skills in STEM subjects. Moreover, the findings demonstrate how several electronic multimedia tools (PhET simulations, animations, YouTube videos) can increase student retention and engagement in learning STEM. Though the students reported that they experienced challenges such as poor internet connection, lack of laboratory work, electricity shortage, and limited ICT skills, they managed to complete STEM learning activities by using free virtual laboratories, portable tethering hotspots from their smartphones, and smartphones where power was a problem and learnt the navigation of ICT tools from their peers. The study found moderate positive Spearman rho correlation coefficient, $${r}_{s}=0.69, P<0.01$$ which explains that 69% of the total variance in the students’ successful performance is explained by the two variables, i.e., social and cognitive presence. The study recommends more training for course instructors and students. Efforts should be put in place to focus on ICT manipulation and curating interactive content. The researchers acclaim the expansion of internet coverage in University of Rwanda campuses. This action will enhance online and blended learning. Moreover, the study recommends the integration of ICT and the use of multimedia tools such as Bio-interactive and Physics Education Technology (PhET) interactive simulations in STEM subjects as supplementary resources. These tools support cognitive and affective domains in the teaching and learning process. Furthermore, universities can reduce the problem of expensive and inadequate laboratory equipment by adopting the use of virtual laboratories, especially for online STEM lessons.