Mathematics anxiety is a significant problem in education that affects students’ learning outcomes, academic success, and well-being. This systematic literature review aimed to explore the role of technological interventions in reducing mathematics anxiety and promoting positive learning experiences in mathematics learning. Our findings revealed a mixed picture, where learning mathematics through online distance education increases mathematics anxiety, especially among primary school students, while interventions such as game-based learning and digital tools show positive results in reducing students’ mathematics anxiety levels. Additionally, the results of this study contribute to ongoing discussions on effective strategies to reduce mathematics anxiety and improve mathematics education through the integration of technology, providing new understanding among educators, parents, researchers, and policymakers in creating inclusive and effective learning environments. Using technology to reduce mathematics anxiety and increase student achievement emphasizes the importance of collaborative efforts.
{"title":"The role of technology in reducing mathematics anxiety in primary school students","authors":"Zara Ersozlu","doi":"10.30935/cedtech/14717","DOIUrl":"https://doi.org/10.30935/cedtech/14717","url":null,"abstract":"Mathematics anxiety is a significant problem in education that affects students’ learning outcomes, academic success, and well-being. This systematic literature review aimed to explore the role of technological interventions in reducing mathematics anxiety and promoting positive learning experiences in mathematics learning. Our findings revealed a mixed picture, where learning mathematics through online distance education increases mathematics anxiety, especially among primary school students, while interventions such as game-based learning and digital tools show positive results in reducing students’ mathematics anxiety levels. Additionally, the results of this study contribute to ongoing discussions on effective strategies to reduce mathematics anxiety and improve mathematics education through the integration of technology, providing new understanding among educators, parents, researchers, and policymakers in creating inclusive and effective learning environments. Using technology to reduce mathematics anxiety and increase student achievement emphasizes the importance of collaborative efforts.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141712577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Ishmuradova, A. Chistyakov, A. D. Chudnovskiy, E. V. Grib, Sergey V. Kondrashev, Sergei P. Zhdanov
This study looks closely at research papers about blended learning (BL) from the last 10 years (2014-2023). It pulls information from Scopus and Web of Science (WoS). By using both, it gives a full picture of what is being published and what’s important in BL research. The search found 1,704 articles in Scopus and 1,545 in WoS. After putting them together and removing duplicates, there were 2,455 articles for the study. The study used a Bibliometrix R to look at who published a lot, which countries and schools did most, who worked together, and which articles got mentioned a lot. Each year, the number of articles grew by about 15.58%. Most of these, 93.00%, were articles. Universities in Australia were among those that wrote the most. “Education and Information Technologies” and “International Journal of Educational Technology in Higher Education” were often cited, which shows they have big roles in this research area. Some of the main researchers who connect a lot of the work are Zhu, Graham, and Jackson. It is found that keywords “higher education”, “online learning”, “students”, and “COVID-19” are very common in discussions and help shape the research being done. While much research comes from Australia and the West, there is also growing work from Asia and the Middle East. This shows that BL is becoming important in different parts of the world. But there’s a chance to get more research from less wealthy countries. This study puts together a clear picture of BL research. It looks at what’s been published, who talks to who, and which places are doing the work. The research has grown who the main people are, where there’s a gap between different regions, and what we should think about for the future. This can help make policies and change how we teach.
本研究密切关注过去 10 年（2014-2023 年）有关混合式学习（BL）的研究论文。它从 Scopus 和 Web of Science (WoS) 中获取信息。通过同时使用这两个系统，可以全面了解混合式学习研究的发表情况和重要意义。这次搜索在 Scopus 和 WoS 中分别发现了 1,704 篇和 1,545 篇文章。将它们放在一起并去除重复内容后，共有 2455 篇文章可供研究使用。该研究使用 Bibliometrix R 来查看哪些人发表了大量文章，哪些国家和学校发表的文章最多，哪些人一起工作，哪些文章被频繁提及。文章数量每年增长约 15.58%。其中大部分（93.00%）是文章。澳大利亚的大学撰写的文章最多。"教育与信息技术》和《高等教育教育技术国际期刊》经常被引用，这表明它们在这一研究领域发挥着重要作用。朱（Zhu）、格雷厄姆（Graham）和杰克逊（Jackson）是连接大量工作的主要研究者。我们发现，"高等教育"、"在线学习"、"学生 "和 "COVID-19 "等关键词在讨论中非常常见，有助于形成正在进行的研究。虽然许多研究来自澳大利亚和西方，但亚洲和中东的研究也在不断增加。这表明，BL 在世界不同地区正变得越来越重要。但是，我们有机会从不富裕的国家获得更多的研究成果。这项研究清楚地描绘了基本法研究的全貌。它审视了已发表的研究成果、谁在与谁交谈以及哪些地方在开展这项工作。研究发现了谁是主要研究人员，不同地区之间的差距在哪里，以及我们应该为未来做些什么。这有助于制定政策和改变我们的教学方式。
{"title":"A cross-database bibliometrics analysis of blended learning in higher education: Trends and capabilities","authors":"I. Ishmuradova, A. Chistyakov, A. D. Chudnovskiy, E. V. Grib, Sergey V. Kondrashev, Sergei P. Zhdanov","doi":"10.30935/cedtech/14478","DOIUrl":"https://doi.org/10.30935/cedtech/14478","url":null,"abstract":"This study looks closely at research papers about blended learning (BL) from the last 10 years (2014-2023). It pulls information from Scopus and Web of Science (WoS). By using both, it gives a full picture of what is being published and what’s important in BL research. The search found 1,704 articles in Scopus and 1,545 in WoS. After putting them together and removing duplicates, there were 2,455 articles for the study. The study used a Bibliometrix R to look at who published a lot, which countries and schools did most, who worked together, and which articles got mentioned a lot. Each year, the number of articles grew by about 15.58%. Most of these, 93.00%, were articles. Universities in Australia were among those that wrote the most. “Education and Information Technologies” and “International Journal of Educational Technology in Higher Education” were often cited, which shows they have big roles in this research area. Some of the main researchers who connect a lot of the work are Zhu, Graham, and Jackson. It is found that keywords “higher education”, “online learning”, “students”, and “COVID-19” are very common in discussions and help shape the research being done. While much research comes from Australia and the West, there is also growing work from Asia and the Middle East. This shows that BL is becoming important in different parts of the world. But there’s a chance to get more research from less wealthy countries. This study puts together a clear picture of BL research. It looks at what’s been published, who talks to who, and which places are doing the work. The research has grown who the main people are, where there’s a gap between different regions, and what we should think about for the future. This can help make policies and change how we teach.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140691035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hassan Abuhassna, Mohamad Azrien Bin Mohamed Adnan, Fareed Awae
To enhance education, we conducted a comprehensive investigation into integrating instructional design models (IDMs) and learning theories in this systematic literature review. We methodically selected and analyzed 25 publications from a pool of 1,102 documents using the preferred reportinfg items for systematic reviews and meta-analyses framework to guarantee a rigorous and systematic approach to literature selection. Our results demonstrate the worldwide span of study on this topic, including contributions from prestigious academic institutions and scholarly journals. This examination explores both the benefits and drawbacks of combining IDMs with learning theories. Noteworthy positives include increased student motivation, support for innovative teaching methods, and the development of complex and diverse learning environments. However, several shortcomings were observed. most notably relating to accessibility problems, evaluation difficulties, and questions about the adaptability of such integrated techniques. Our findings have implications for a broad range of stakeholders, including educators, instructional designers, and students functioning in a variety of educational contexts. The increase of learner motivation, the creation of novel pedagogical tools, the refining of teacher training programs, and the promotion of interdisciplinary learning methods are significant areas of focus. In addition, our evaluation uncovered a number of gaps in the current literature, indicating intriguing possibilities for future research. The examination of holistic learning environments, the untapped potential of integrated systems, the incorporation of educational robots into pedagogical tactics, and the refining of schema assessment approaches are notable research fields. By providing these insights, this systematic review not only adds to the current body of knowledge, but also has the potential to shape the future trajectory of educational practices, so acting as a significant resource for boosting learning outcomes in a variety of educational environments.
{"title":"Exploring the synergy between instructional design models and learning theories: A systematic literature review","authors":"Hassan Abuhassna, Mohamad Azrien Bin Mohamed Adnan, Fareed Awae","doi":"10.30935/cedtech/14289","DOIUrl":"https://doi.org/10.30935/cedtech/14289","url":null,"abstract":"To enhance education, we conducted a comprehensive investigation into integrating instructional design models (IDMs) and learning theories in this systematic literature review. We methodically selected and analyzed 25 publications from a pool of 1,102 documents using the preferred reportinfg items for systematic reviews and meta-analyses framework to guarantee a rigorous and systematic approach to literature selection. Our results demonstrate the worldwide span of study on this topic, including contributions from prestigious academic institutions and scholarly journals. This examination explores both the benefits and drawbacks of combining IDMs with learning theories. Noteworthy positives include increased student motivation, support for innovative teaching methods, and the development of complex and diverse learning environments. However, several shortcomings were observed. most notably relating to accessibility problems, evaluation difficulties, and questions about the adaptability of such integrated techniques. Our findings have implications for a broad range of stakeholders, including educators, instructional designers, and students functioning in a variety of educational contexts. The increase of learner motivation, the creation of novel pedagogical tools, the refining of teacher training programs, and the promotion of interdisciplinary learning methods are significant areas of focus. In addition, our evaluation uncovered a number of gaps in the current literature, indicating intriguing possibilities for future research. The examination of holistic learning environments, the untapped potential of integrated systems, the incorporation of educational robots into pedagogical tactics, and the refining of schema assessment approaches are notable research fields. By providing these insights, this systematic review not only adds to the current body of knowledge, but also has the potential to shape the future trajectory of educational practices, so acting as a significant resource for boosting learning outcomes in a variety of educational environments.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This systematic literature review (SLR) explores the integration of e-learning in universities, emphasizing a comprehensive approach that intertwines various mainstream perspectives. Despite numerous studies on e-learning implementation evaluation, few have holistically considered financial, human, technical, and policy factors. This review used PRISMA guidelines and sources from Scopus, Google Scholar, ERIC, SAGE, and ProQuest. Of 26 analyzed studies, seven core themes emerged: Policy, financial, technical, human, institutional factors, others, and an integrated perspective, further distilled into 13 sub-themes. Findings highlight the importance of an integrative framework for evaluating e-learning, underscoring the interplay between macro and institutional policies. Additionally, the authors recommend cross-national comparisons and data synthesis from stakeholders, including students, educators and directors, to fully grasp e-learning implementation dynamics. Distinctively, it adopts an integrated perspective, filling the research gap by emphasizing overlooked financial considerations and presenting a comprehensive view through an SLR. By drawing insights from human, finance, technical, and policy perspective, the study provides a multidimensional lens on e-learning. This forward-looking approach not only captures the current state of e-learning integration but also charts future research directions, establishing its originality and significance in higher education.
{"title":"Systematic literature review on the holistic integration of e-learning in universities: Policy, human, financial, and technical perspectives","authors":"Kai Hu, A. Raman","doi":"10.30935/cedtech/14287","DOIUrl":"https://doi.org/10.30935/cedtech/14287","url":null,"abstract":"This systematic literature review (SLR) explores the integration of e-learning in universities, emphasizing a comprehensive approach that intertwines various mainstream perspectives. Despite numerous studies on e-learning implementation evaluation, few have holistically considered financial, human, technical, and policy factors. This review used PRISMA guidelines and sources from Scopus, Google Scholar, ERIC, SAGE, and ProQuest. Of 26 analyzed studies, seven core themes emerged: Policy, financial, technical, human, institutional factors, others, and an integrated perspective, further distilled into 13 sub-themes. Findings highlight the importance of an integrative framework for evaluating e-learning, underscoring the interplay between macro and institutional policies. Additionally, the authors recommend cross-national comparisons and data synthesis from stakeholders, including students, educators and directors, to fully grasp e-learning implementation dynamics. Distinctively, it adopts an integrated perspective, filling the research gap by emphasizing overlooked financial considerations and presenting a comprehensive view through an SLR. By drawing insights from human, finance, technical, and policy perspective, the study provides a multidimensional lens on e-learning. This forward-looking approach not only captures the current state of e-learning integration but also charts future research directions, establishing its originality and significance in higher education.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140355494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stavros Papakonstantinidis, P. Kwiatek, Filomachi Spathopoulou
This research investigates the perspectives of using artificial intelligence writing software (AIWS) in professional contexts, focusing on academic and non-academic writers. These two groups, while standing to gain increased productivity through the adoption of AIWS, also express concerns regarding the widespread implementation of this technology. Notably, artificial intelligence (AI) writing tech’s impact on content creation has been profound, with its swift grammatically accurate content generation. This adoption, however, remains controversial. The study employs a quantitative approach, combining technology acceptance model and new computer game attitude scale. This approach allows us to discern implications of using AI-powered writing tools while accounting for possible differences in different domains of use. Through a survey of 219 participants, spanning academia and business, the study explores attitudes and willingness to use AIWS. Findings yield insights into non-academic writers’ readiness and implications of AIWS adoption. Business, non-academic professionals view AIWS as a tool for efficiency and content quality, while writers in academic contexts express concerns about biases, manipulation, and job displacement. The study contributes to AIWS understanding, benefiting developers, educational institutions, and content creators, and elucidates differing attitudes and age dynamics between academics and professionals. The research underscores the multifaceted influence of AIWS, providing a foundation for future exploration in this emerging domain, as well as practical applications for industries and educational institutions.
{"title":"Embrace or resist? Drivers of artificial intelligence writing software adoption in academic and non-academic contexts","authors":"Stavros Papakonstantinidis, P. Kwiatek, Filomachi Spathopoulou","doi":"10.30935/cedtech/14250","DOIUrl":"https://doi.org/10.30935/cedtech/14250","url":null,"abstract":"This research investigates the perspectives of using artificial intelligence writing software (AIWS) in professional contexts, focusing on academic and non-academic writers. These two groups, while standing to gain increased productivity through the adoption of AIWS, also express concerns regarding the widespread implementation of this technology. Notably, artificial intelligence (AI) writing tech’s impact on content creation has been profound, with its swift grammatically accurate content generation. This adoption, however, remains controversial. The study employs a quantitative approach, combining technology acceptance model and new computer game attitude scale. This approach allows us to discern implications of using AI-powered writing tools while accounting for possible differences in different domains of use. Through a survey of 219 participants, spanning academia and business, the study explores attitudes and willingness to use AIWS. Findings yield insights into non-academic writers’ readiness and implications of AIWS adoption. Business, non-academic professionals view AIWS as a tool for efficiency and content quality, while writers in academic contexts express concerns about biases, manipulation, and job displacement. The study contributes to AIWS understanding, benefiting developers, educational institutions, and content creators, and elucidates differing attitudes and age dynamics between academics and professionals. The research underscores the multifaceted influence of AIWS, providing a foundation for future exploration in this emerging domain, as well as practical applications for industries and educational institutions.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140354781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This bibliometric study on data mining in education synonymous with big educational data utilizes VOSviewer and Harzing’s Publish and Perish to analyze the metadata of 1,439 journal articles found in Scopus from 2010 to 2022. As bibliometric analyses in this field are lacking, this study aims to provide a comprehensive outlook on the current developments and impact of research in this field. This study employs descriptive and trends analysis, co-authorship analysis, co-citation analysis, co-occurrences of keywords, terms map analysis, and analysis of the impact and performance of publications. It also partially replicates a similar study conducted by Wang et al. (2022), who used the Web of Science (WoS) database. The study is reported in an article entitled ‘Big data and data mining in education: A bibliometrics study from 2010 to 2022’. Results show that data mining in education is a growing research field. There is also a significant difference between the publications in Scopus and WoS. The study found several research areas and topics, such as student academic performance prediction, e-learning, machine learning, and innovative data mining techniques, to be the core basis for collaborating and continuing current research in this field. These results highlight the importance of continuing research on data mining in education, guiding future research in tackling educational challenges.
{"title":"Bibliometric insights into data mining in education research: A decade in review","authors":"Yessane Shrrie Nagendhra Rao, Chwen Jen Chen","doi":"10.30935/cedtech/14333","DOIUrl":"https://doi.org/10.30935/cedtech/14333","url":null,"abstract":"This bibliometric study on data mining in education synonymous with big educational data utilizes VOSviewer and Harzing’s Publish and Perish to analyze the metadata of 1,439 journal articles found in Scopus from 2010 to 2022. As bibliometric analyses in this field are lacking, this study aims to provide a comprehensive outlook on the current developments and impact of research in this field. This study employs descriptive and trends analysis, co-authorship analysis, co-citation analysis, co-occurrences of keywords, terms map analysis, and analysis of the impact and performance of publications. It also partially replicates a similar study conducted by Wang et al. (2022), who used the Web of Science (WoS) database. The study is reported in an article entitled ‘Big data and data mining in education: A bibliometrics study from 2010 to 2022’. Results show that data mining in education is a growing research field. There is also a significant difference between the publications in Scopus and WoS. The study found several research areas and topics, such as student academic performance prediction, e-learning, machine learning, and innovative data mining techniques, to be the core basis for collaborating and continuing current research in this field. These results highlight the importance of continuing research on data mining in education, guiding future research in tackling educational challenges.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140768130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gülten Genç, Muhammed Nazif Kutlu, Ozge Kirmizibayrak
In recent years, the widespread use of online learning environments and tools, especially with the outbreak of the COVID-19 pandemic, has brought students’ readiness for online learning and their ability to manage their own learning processes to the fore. This study aims to investigate the online learning readiness (OLR) and self-directed learning skills of English language learners at a state university in Turkey. For this purpose, a cross-sectional, descriptive study methodology was employed. The study group consisted of 202 randomly selected first-year volunteer students. An information form and two scales were used to collect data. Additionally, the effects of some demographic factors on EFL students’ OLR and self-directed learning skills were also investigated. The results of the study revealed that university students have a moderate level of self-directed learning and readiness to learn in the online environment. As another result of the study, it was determined that various independent variables had an impact on the participants’ OLR levels. In parallel with the findings of the study, some pedagogical strategies were discussed and suggested.
{"title":"Do you feel prepared? EFL learners’ readiness for online learning and self-directed learning ability","authors":"Gülten Genç, Muhammed Nazif Kutlu, Ozge Kirmizibayrak","doi":"10.30935/cedtech/14332","DOIUrl":"https://doi.org/10.30935/cedtech/14332","url":null,"abstract":"In recent years, the widespread use of online learning environments and tools, especially with the outbreak of the COVID-19 pandemic, has brought students’ readiness for online learning and their ability to manage their own learning processes to the fore. This study aims to investigate the online learning readiness (OLR) and self-directed learning skills of English language learners at a state university in Turkey. For this purpose, a cross-sectional, descriptive study methodology was employed. The study group consisted of 202 randomly selected first-year volunteer students. An information form and two scales were used to collect data. Additionally, the effects of some demographic factors on EFL students’ OLR and self-directed learning skills were also investigated. The results of the study revealed that university students have a moderate level of self-directed learning and readiness to learn in the online environment. As another result of the study, it was determined that various independent variables had an impact on the participants’ OLR levels. In parallel with the findings of the study, some pedagogical strategies were discussed and suggested.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140355906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Glasserman-Morales, Carolina Alcantar-Nieblas, Marcela Inés Sisto
Nowadays, digital competencies encompass skills and attitudes with technical, informational, content, media, and communication aspects that are crucial for students and future professionals. Hence, there is a need to investigate the possible correlations between demographic and contextual variables and the development of digital competencies in higher education. This paper reports on several university-student demographic factors associated with digital competencies. The work used a quantitative approach with descriptive statistical techniques such as a means test and Pearson correlation analysis. The findings identified that (a) there are statistically significant differences between the mean obtained in the previous semester in digital competencies and the gender of the students, (b) there are no statistically significant differences in the final mean for digital competencies and the students’ institution of origin, and (c) the variables included in the study are statistically significant. They also found that the mean attained by the university students in the previous semester had a strong predictive power of student performance; in contrast, the student’s high school institution of origin variable was a weak predictor of their digital competency. This paper presents the findings and implications for practice and research.
{"title":"Demographic and school factors associated with digital competences in higher education students","authors":"L. Glasserman-Morales, Carolina Alcantar-Nieblas, Marcela Inés Sisto","doi":"10.30935/cedtech/14288","DOIUrl":"https://doi.org/10.30935/cedtech/14288","url":null,"abstract":"Nowadays, digital competencies encompass skills and attitudes with technical, informational, content, media, and communication aspects that are crucial for students and future professionals. Hence, there is a need to investigate the possible correlations between demographic and contextual variables and the development of digital competencies in higher education. This paper reports on several university-student demographic factors associated with digital competencies. The work used a quantitative approach with descriptive statistical techniques such as a means test and Pearson correlation analysis. The findings identified that (a) there are statistically significant differences between the mean obtained in the previous semester in digital competencies and the gender of the students, (b) there are no statistically significant differences in the final mean for digital competencies and the students’ institution of origin, and (c) the variables included in the study are statistically significant. They also found that the mean attained by the university students in the previous semester had a strong predictive power of student performance; in contrast, the student’s high school institution of origin variable was a weak predictor of their digital competency. This paper presents the findings and implications for practice and research.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140356584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Computer-supported collaborative learning is an instructional technique to solve complex tasks. One of the key factors to enhance collaboration is increasing the level of interdependence among the collaborators. This study was conducted to examine if the heterogeneous knowledge held by each member promoted by heterogenous instructional sequencings enhances the level of interdependence during collaboration. A quasi-experiment was conducted with college seniors preparing for their careers in a Shinhan University located in Gyeonggi-do, South Korea. The experiment consisted of two phases: one was, where students gained prior knowledge using homogeneous or heterogeneous complex-task sequencing. The other was, where they collaborated with each other using a computer-supported tool. The results showed the statistically significant difference between the two groups in terms of extraneous collective cognitive load, intrinsic motivation, and learning transfer. The collaborative groups of members, which utilized heterogeneous instructional sequencings during the individual learning phase showed relatively lower extraneous collective cognitive load, and higher intrinsic motivation in three consecutive collaborative sessions except for the first. As well as groups of members had higher learning transfer results. Implications and limitations were further discussed on results.
{"title":"Effects of heterogeneous complex-task sequencings on extraneous collective cognitive load, intrinsic motivation, and learning transfer in computer-supported collaborative learning","authors":"Soonri Choi, Hongjoo Ju, Jeein Kim, Jihoon Song","doi":"10.30935/cedtech/14418","DOIUrl":"https://doi.org/10.30935/cedtech/14418","url":null,"abstract":"Computer-supported collaborative learning is an instructional technique to solve complex tasks. One of the key factors to enhance collaboration is increasing the level of interdependence among the collaborators. This study was conducted to examine if the heterogeneous knowledge held by each member promoted by heterogenous instructional sequencings enhances the level of interdependence during collaboration. A quasi-experiment was conducted with college seniors preparing for their careers in a Shinhan University located in Gyeonggi-do, South Korea. The experiment consisted of two phases: one was, where students gained prior knowledge using homogeneous or heterogeneous complex-task sequencing. The other was, where they collaborated with each other using a computer-supported tool. The results showed the statistically significant difference between the two groups in terms of extraneous collective cognitive load, intrinsic motivation, and learning transfer. The collaborative groups of members, which utilized heterogeneous instructional sequencings during the individual learning phase showed relatively lower extraneous collective cognitive load, and higher intrinsic motivation in three consecutive collaborative sessions except for the first. As well as groups of members had higher learning transfer results. Implications and limitations were further discussed on results.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140356057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tobias Alexander Bang Tretow-Fish, Md Saifuddin Khalid
Existing methods for software requirements elicitation, five-point Likert scales and voting methods for requirements prioritization, and usability and user experience evaluation methods do not enable prioritizing the learning analytics dashboard requirements. Inspired by management and product design field, this research applies Kano’s two-factor theory to prioritize the features of learning analytics dashboards (LADs) of adaptive learning platform (ALP) called RhapsodeTM learner, based on students’ perceived usefulness to support designers’ decision-making. Comparing usability and user experience methods for evaluating LAD features, this paper contributes with the protocol and a case applying Kano method for evaluating the perceived importance of the dashboards in ALP. The paper applies Kano’s two-factor questionnaire on the 13 LADs features of RhapsodeTM learner. Responses from 17 students are collected using a questionnaire, which is used to showcase the strength of the two-factor theory through five tabular and graphical techniques. Through these five tabular and graphical techniques, we demonstrate the application and usefulness of the method as designers and management are often carried away by the possibilities of insights instead of actual usefulness. The results revealed a variation in the categorization of LADs depending on the technique employed. As the complexity of the techniques increases, additional factors that indicate data uncertainty are gradually incorporated, clearly highlighting the growing requirement for data. In the case of RhapsodeTM learner platform, results based on the students responses show that 11 of 13 LADs being excluded due to low significance level in categorization (technique 1) and low response rate.
{"title":"Applying Kano’s two-factor theory to prioritize learning analytics dashboard features for learning technology designers","authors":"Tobias Alexander Bang Tretow-Fish, Md Saifuddin Khalid","doi":"10.30935/cedtech/14286","DOIUrl":"https://doi.org/10.30935/cedtech/14286","url":null,"abstract":"Existing methods for software requirements elicitation, five-point Likert scales and voting methods for requirements prioritization, and usability and user experience evaluation methods do not enable prioritizing the learning analytics dashboard requirements. Inspired by management and product design field, this research applies Kano’s two-factor theory to prioritize the features of learning analytics dashboards (LADs) of adaptive learning platform (ALP) called RhapsodeTM learner, based on students’ perceived usefulness to support designers’ decision-making. Comparing usability and user experience methods for evaluating LAD features, this paper contributes with the protocol and a case applying Kano method for evaluating the perceived importance of the dashboards in ALP. The paper applies Kano’s two-factor questionnaire on the 13 LADs features of RhapsodeTM learner. Responses from 17 students are collected using a questionnaire, which is used to showcase the strength of the two-factor theory through five tabular and graphical techniques. Through these five tabular and graphical techniques, we demonstrate the application and usefulness of the method as designers and management are often carried away by the possibilities of insights instead of actual usefulness. The results revealed a variation in the categorization of LADs depending on the technique employed. As the complexity of the techniques increases, additional factors that indicate data uncertainty are gradually incorporated, clearly highlighting the growing requirement for data. In the case of RhapsodeTM learner platform, results based on the students responses show that 11 of 13 LADs being excluded due to low significance level in categorization (technique 1) and low response rate.","PeriodicalId":37088,"journal":{"name":"Contemporary Educational Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140354026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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