The pupillary responses of humans exhibit variations in size, which are mediated by optic and oculomotor cranial nerves. Due to their sensitivity and high resolution of pupillary responses, they are used for a long time as measurement metrics of cognitive effort. Investigating the extent of cognitive effort required during tasks of varying difficulty is crucial for understanding the neural interconnections underlying these pupillary responses. This study aims to assess human cognitive efforts involved in visually presented cognitive tasks using the multinomial processing tree (MPT) model, an analytical tool that disentangles and predicts distinct cognitive processes, resulting in changes in pupil diameter. To achieve this, a pupillary response dataset was collected during mental multiplication (MM) tasks and visual stimuli presentations as cognitive tasks. MPT model describes observed response frequencies across various response categories and determines the transition probabilities from one latent state to the next. The expectation maximization (EM) algorithm is employed with MPT model to estimate parameter values based on response frequency within each category. Both group-level and individual subject-to-subject comparisons are conducted to estimate cognitive effort. The results reveal that in the group comparison and with respect to task difficulty level, that subject’s knowledge on MM task influences the successfully solve the problem. Regarding individual analysis, no significant differences are observed in parameters related to correct recall, problem-solving ability, and time constraint compliance. However, some significant differences are found in parameters associated with the perceived difficulty level and ability to recall the correct answers. MPT model combined with EM algorithm constitutes a probabilistic model that enhances pupillary responses identification related to the cognitive effort. Potential applications of this model include disease diagnostics based on parameter values and identification of neural pathways that are involved in the pupillary response and subject’s cognitive effort. Furthermore, efforts are underway to connect this psychological model with an artificial neural network.
人类的瞳孔反应大小不一，由视神经和眼球运动颅神经介导。由于瞳孔反应的灵敏性和高分辨率，它们长期以来一直被用作认知努力的测量指标。调查不同难度任务中所需的认知努力程度对于了解这些瞳孔反应背后的神经互连至关重要。多叉处理树（MPT）模型是一种分析工具，它能分解和预测不同的认知过程，从而导致瞳孔直径的变化。为此，我们收集了心算乘法（MM）任务和视觉刺激呈现作为认知任务时的瞳孔反应数据集。MPT 模型描述了在各种反应类别中观察到的反应频率，并确定了从一个潜伏状态到下一个潜伏状态的过渡概率。期望最大化（EM）算法与 MPT 模型一起使用，根据每个类别中的反应频率来估计参数值。为了估算认知努力，我们进行了组间比较和受试者间比较。结果显示，在群体比较中，就任务难度而言，受试者对 MM 任务的了解程度会影响其成功解决问题的程度。在个体分析方面，与正确回忆、解决问题能力和遵守时间限制相关的参数没有发现显著差异。然而，在与感知难度水平和回忆正确答案的能力相关的参数方面，却发现了一些明显的差异。MPT 模型与 EM 算法相结合构成了一个概率模型，可增强与认知努力相关的瞳孔反应识别能力。该模型的潜在应用包括根据参数值进行疾病诊断，以及识别参与瞳孔反应和受试者认知努力的神经通路。此外，目前正在努力将这一心理模型与人工神经网络连接起来。
{"title":"Cognitive effort assessment through pupillary responses: Insights from multinomial processing tree modeling and neural interconnections","authors":"Gahangir Hossain, J. Elkins","doi":"10.30935/ojcmt/14196","DOIUrl":"https://doi.org/10.30935/ojcmt/14196","url":null,"abstract":"The pupillary responses of humans exhibit variations in size, which are mediated by optic and oculomotor cranial nerves. Due to their sensitivity and high resolution of pupillary responses, they are used for a long time as measurement metrics of cognitive effort. Investigating the extent of cognitive effort required during tasks of varying difficulty is crucial for understanding the neural interconnections underlying these pupillary responses. This study aims to assess human cognitive efforts involved in visually presented cognitive tasks using the multinomial processing tree (MPT) model, an analytical tool that disentangles and predicts distinct cognitive processes, resulting in changes in pupil diameter. To achieve this, a pupillary response dataset was collected during mental multiplication (MM) tasks and visual stimuli presentations as cognitive tasks. MPT model describes observed response frequencies across various response categories and determines the transition probabilities from one latent state to the next. The expectation maximization (EM) algorithm is employed with MPT model to estimate parameter values based on response frequency within each category. Both group-level and individual subject-to-subject comparisons are conducted to estimate cognitive effort. The results reveal that in the group comparison and with respect to task difficulty level, that subject’s knowledge on MM task influences the successfully solve the problem. Regarding individual analysis, no significant differences are observed in parameters related to correct recall, problem-solving ability, and time constraint compliance. However, some significant differences are found in parameters associated with the perceived difficulty level and ability to recall the correct answers. MPT model combined with EM algorithm constitutes a probabilistic model that enhances pupillary responses identification related to the cognitive effort. Potential applications of this model include disease diagnostics based on parameter values and identification of neural pathways that are involved in the pupillary response and subject’s cognitive effort. Furthermore, efforts are underway to connect this psychological model with an artificial neural network.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139846298","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}
Equity is an important issue in student learning. HyFlex as a learning modality provides students an equitable opportunity to access learning through several modalities, which correlate with students’ cognitive styles. The study investigates the relationship between student learning and cognitive styles, student-preferred modalities, and their equity in learning. The digital survey was sent to students and 451 students filled out the survey voluntarily. A structural equation model was developed to investigate the relationship between variables. The results indicate that students with innovation styles had a higher impact than students with an adaption style on the choice of three HyFlex learning modalities. The findings also show that student-preferred modalities encourage them to have equity in their learning. The current research provides novel knowledge on fostering learning equity by developing and adjusting students’ cognitive styles to choose HyFlex learning modalities.
{"title":"Exploring HyFlex learning modality through adaption-innovation theory for student learning equity","authors":"Ridwan Daud Mahande, Wirawan Setialaksana, Nurul Mukhlisah Abdal, Mustari Lamada","doi":"10.30935/ojcmt/14170","DOIUrl":"https://doi.org/10.30935/ojcmt/14170","url":null,"abstract":"Equity is an important issue in student learning. HyFlex as a learning modality provides students an equitable opportunity to access learning through several modalities, which correlate with students’ cognitive styles. The study investigates the relationship between student learning and cognitive styles, student-preferred modalities, and their equity in learning. The digital survey was sent to students and 451 students filled out the survey voluntarily. A structural equation model was developed to investigate the relationship between variables. The results indicate that students with innovation styles had a higher impact than students with an adaption style on the choice of three HyFlex learning modalities. The findings also show that student-preferred modalities encourage them to have equity in their learning. The current research provides novel knowledge on fostering learning equity by developing and adjusting students’ cognitive styles to choose HyFlex learning modalities.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140483027","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}
Social networks have become an integral part of modern life, with billions of people around the world using platforms such as Facebook, Instagram, and Twitter to connect with others and share information and content. However, there is growing concern that social networks can also contribute to social isolation, particularly for individuals who substitute online for offline in person interactions. This study aims to investigate the relationship between the use of social networks and perceived social isolation and how this relationship varies by demographic and level of urbanization. The results showed that, on average, an individual’s sense of social isolation due to social networks increased for each additional hour spent on social networks and decreased for individuals with a high school education, some college education, and living in a suburban area. In particular, the model suggests that people living in suburban areas attribute lower levels of social isolation to the use of social media compared to those living in urban areas.
{"title":"The effects of urbanization and social media use on individuals’ perceived social isolation","authors":"Tyler J. Horan","doi":"10.30935/ojcmt/14171","DOIUrl":"https://doi.org/10.30935/ojcmt/14171","url":null,"abstract":"Social networks have become an integral part of modern life, with billions of people around the world using platforms such as Facebook, Instagram, and Twitter to connect with others and share information and content. However, there is growing concern that social networks can also contribute to social isolation, particularly for individuals who substitute online for offline in person interactions. This study aims to investigate the relationship between the use of social networks and perceived social isolation and how this relationship varies by demographic and level of urbanization. The results showed that, on average, an individual’s sense of social isolation due to social networks increased for each additional hour spent on social networks and decreased for individuals with a high school education, some college education, and living in a suburban area. In particular, the model suggests that people living in suburban areas attribute lower levels of social isolation to the use of social media compared to those living in urban areas.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140481535","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}
R. G. Sakhieva, I. E. Meshkova, Vagiz G. Gimaliev, Mariya V. Melnik, N. N. Shindryaeva, Sergei P. Zhdanov
Social media platforms have altered how individuals communicate, disseminate information, and interact with their surrounding environment. University students at forefront of embracing technology and digital culture exhibit heightened engagement with social media platforms. This phenomenon has generated significant interest and concern among educators, researchers, and parents due to its potential implications for academic achievement. Hence, it is crucial to examine relationship between utilization of social media platforms and academic performance of university students. This study aimed to identify social media use and relationship between the overall academic grade point average (GPA) and patterns of social media use. This study employed a quantitative methodology, and 192 university students were given questionnaire. The results revealed that the students most commonly utilized Telegram, with a usage rate of 85.9%, YouTube (59.9%), and WhatsApp (53.1%). The social media platforms most commonly utilized for educational purposes were YouTube (68.8%), Telegram (53.1%), WhatsApp (21.9%), and Google+ (19.3%), respectively. The results showed that more than 70% of the students spent at least two hours on social media, and most (67.7) spent more than 15 minutes. The results about reasons for social media use showed that the majority of students used social media for entertainment (63.6%), socializing (80.2%), staying up on breaking news (65.1%), shopping among females (48.4%), being productive while studying (46.4%), and distracting themselves from schoolwork (51.0%). Regarding social media use, the results showed that most female (61.1%) and less than half of male (45.5) participants reported being addicted to social media.
{"title":"Exploring the relationship between social media use and academic performance","authors":"R. G. Sakhieva, I. E. Meshkova, Vagiz G. Gimaliev, Mariya V. Melnik, N. N. Shindryaeva, Sergei P. Zhdanov","doi":"10.30935/ojcmt/14133","DOIUrl":"https://doi.org/10.30935/ojcmt/14133","url":null,"abstract":"Social media platforms have altered how individuals communicate, disseminate information, and interact with their surrounding environment. University students at forefront of embracing technology and digital culture exhibit heightened engagement with social media platforms. This phenomenon has generated significant interest and concern among educators, researchers, and parents due to its potential implications for academic achievement. Hence, it is crucial to examine relationship between utilization of social media platforms and academic performance of university students. This study aimed to identify social media use and relationship between the overall academic grade point average (GPA) and patterns of social media use. This study employed a quantitative methodology, and 192 university students were given questionnaire. The results revealed that the students most commonly utilized Telegram, with a usage rate of 85.9%, YouTube (59.9%), and WhatsApp (53.1%). The social media platforms most commonly utilized for educational purposes were YouTube (68.8%), Telegram (53.1%), WhatsApp (21.9%), and Google+ (19.3%), respectively. The results showed that more than 70% of the students spent at least two hours on social media, and most (67.7) spent more than 15 minutes. The results about reasons for social media use showed that the majority of students used social media for entertainment (63.6%), socializing (80.2%), staying up on breaking news (65.1%), shopping among females (48.4%), being productive while studying (46.4%), and distracting themselves from schoolwork (51.0%). Regarding social media use, the results showed that most female (61.1%) and less than half of male (45.5) participants reported being addicted to social media.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139526566","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}
Pablo Medina Aguerrebere, E. Medina, Toni González Pacanowski
Building a reputed brand constitutes a priority for hospitals interested in establishing positive relationships with their stakeholders. However, hospitals face different challenges: limited budgets, strict legal frameworks, etc. To overcome these challenges, many hospitals resort to online and artificial intelligence tools. This paper analyzes how hospitals manage both tools to improve their relationships with stakeholders and reinforce their brand reputation. To do that, we conducted a literature review about smart branding in hospitals, and then we defined 34 quantitative indicators to evaluate how the 100 best hospitals in Spain managed their websites, online newsrooms, about us sections and artificial intelligence departments for branding purposes. Our results proved that most hospitals focused their smart branding initiatives on patients (4.98 criteria out of 11) and not on media companies (3.14/11) or public authorities (3.14/6). We concluded that hospitals should implement integrated communication strategies, use artificial intelligence to brand their employees, and establish more professional practices in their communication departments.
{"title":"Building smart brands through online and artificial intelligence tools: A quantitative analysis about the best hospitals in Spain","authors":"Pablo Medina Aguerrebere, E. Medina, Toni González Pacanowski","doi":"10.30935/ojcmt/14132","DOIUrl":"https://doi.org/10.30935/ojcmt/14132","url":null,"abstract":"Building a reputed brand constitutes a priority for hospitals interested in establishing positive relationships with their stakeholders. However, hospitals face different challenges: limited budgets, strict legal frameworks, etc. To overcome these challenges, many hospitals resort to online and artificial intelligence tools. This paper analyzes how hospitals manage both tools to improve their relationships with stakeholders and reinforce their brand reputation. To do that, we conducted a literature review about smart branding in hospitals, and then we defined 34 quantitative indicators to evaluate how the 100 best hospitals in Spain managed their websites, online newsrooms, about us sections and artificial intelligence departments for branding purposes. Our results proved that most hospitals focused their smart branding initiatives on patients (4.98 criteria out of 11) and not on media companies (3.14/11) or public authorities (3.14/6). We concluded that hospitals should implement integrated communication strategies, use artificial intelligence to brand their employees, and establish more professional practices in their communication departments.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139615456","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}
Although access is uneven, studies have shown a high uptake of digital technologies and platforms across Africa, with many accessing social media, which is a fertile ground for the spread of fake news and disinformation, calling for the need to factcheck information before consumption or sharing. The study was grounded in explore, engage, and empower (EEE) model of media and information literacy (MIL), which states that MIL competencies empower media and information users to identify, access, and retrieve information and media content skillfully (explore), analyze, and evaluate media and information critically (engage) and create, share, or use information and media ethically, safely, and responsibly (empower). The purpose was to assess fact-checking practices of students in two universities in Ghana and Nigeria to ascertain the extent to which they factcheck information, their levels of knowledge of fact checkers and the fact checkers that they use. The simple random sampling was used to draw a total of 316 respondents. It was found that although many respondents confirmed the authenticity of news and information received before acting on them, they mostly did so through social media and their networks. Few respondents knew about fact-checking platforms and could state names of actual factcheckers. The study makes a case for MIL, which includes fact checking, to enable media users to analyze and evaluate news and information critically to ensure the consequent ethical safe and responsible sharing and usage of information and media content, as EEE model proposes.
尽管使用情况参差不齐，但研究表明，整个非洲对数字技术和平台的使用率很高，许多人使用社交媒体，而社交媒体是假新闻和虚假信息传播的沃土，这就要求在消费或分享信息之前必须对信息进行事实核查。这项研究以媒体与信息素养（MIL）的 "探索、参与和授权"（EEE）模式为基础，该模式指出，媒体与信息素养能力使媒体与信息用户能够熟练地识别、访问和检索信息与媒体内容（探索），批判性地分析和评估媒体与信息（参与），并以合乎道德、安全和负责任的方式创造、分享或使用信息与媒体（授权）。本研究旨在评估加纳和尼日利亚两所大学的学生进行事实核查的做法，以确定他们对信息进行事实核查的程度、他们对事实核查工具的了解程度以及他们使用的事实核查工具。调查采用简单随机抽样法，共抽取了 316 名受访者。调查发现，尽管许多受访者在对新闻和信息采取行动之前都会确认其真实性，但他们大多是通过社交媒体和自己的网络进行确认的。很少有受访者知道事实核查平台，并能说出实际事实核查者的姓名。本研究为包括事实核查在内的 MIL 提供了一个案例，使媒体用户能够批判性地分析和评估新闻和信息，从而确保信息和媒体内容的共享和使用符合道德规范，安全且负责任，正如 EEE 模式所提出的那样。
{"title":"Countering the threats of dis/misinformation: Fact-checking practices of students of two universities in West Africa","authors":"T. D. Adjin-Tettey, Francis Amenaghawon","doi":"10.30935/ojcmt/14134","DOIUrl":"https://doi.org/10.30935/ojcmt/14134","url":null,"abstract":"Although access is uneven, studies have shown a high uptake of digital technologies and platforms across Africa, with many accessing social media, which is a fertile ground for the spread of fake news and disinformation, calling for the need to factcheck information before consumption or sharing. The study was grounded in explore, engage, and empower (EEE) model of media and information literacy (MIL), which states that MIL competencies empower media and information users to identify, access, and retrieve information and media content skillfully (explore), analyze, and evaluate media and information critically (engage) and create, share, or use information and media ethically, safely, and responsibly (empower). The purpose was to assess fact-checking practices of students in two universities in Ghana and Nigeria to ascertain the extent to which they factcheck information, their levels of knowledge of fact checkers and the fact checkers that they use. The simple random sampling was used to draw a total of 316 respondents. It was found that although many respondents confirmed the authenticity of news and information received before acting on them, they mostly did so through social media and their networks. Few respondents knew about fact-checking platforms and could state names of actual factcheckers. The study makes a case for MIL, which includes fact checking, to enable media users to analyze and evaluate news and information critically to ensure the consequent ethical safe and responsible sharing and usage of information and media content, as EEE model proposes.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139525946","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}
J. Petters, V. J. Owan, O. E. Okpa, D. Idika, R. A. Ojini, B. A. Ntamu, Augustine Igwe Robert, M. V. Owan, Stella Asu-Okang, Victor Eyo Essien
Previous studies have extensively examined how teachers and students utilize Facebook for instructional engagement, writing, research dissemination, and e-learning. However, there is a lack of research focusing on Facebook as a tool for collecting research data. This study aims to fill this gap by analyzing how final-year students utilize Facebook for research data collection (RDC). The study also assesses demographic differences in students’ use of Facebook for RDC. An online survey was conducted on a sample of 11,562 final-year students from tertiary institutions in Nigeria. The researchers followed global best practices in designing and validating the online survey. The survey items demonstrated clarity and relevance, with item content validity indices ranging from .71 to .99. Dimensionality and goodness of fit were assessed through exploratory and confirmatory factor analyses. Convergent validity was evaluated using average variance extracted, while discriminant validity was assessed using the Fornel-Larcker criterion and Heterotrait-Monotrait ratio. The composite reliability indices (.97, .94, and .90) confirmed the usability of the instrument’s three sub-scales. The study’s main findings revealed a significantly low usage of Facebook for RDC among students. Age was a significant predictor, indicating that older students used Facebook more for RDC. While males reported higher usage, the gender difference was negligible. The interaction of age and gender was significant in predicting students’ use of Facebook for RDC. These results have implications for future research, which are further discussed.
{"title":"Predicting users’ behavior: Gender and age as interactive antecedents of students’ Facebook use for research data collection","authors":"J. Petters, V. J. Owan, O. E. Okpa, D. Idika, R. A. Ojini, B. A. Ntamu, Augustine Igwe Robert, M. V. Owan, Stella Asu-Okang, Victor Eyo Essien","doi":"10.30935/ojcmt/14104","DOIUrl":"https://doi.org/10.30935/ojcmt/14104","url":null,"abstract":"Previous studies have extensively examined how teachers and students utilize Facebook for instructional engagement, writing, research dissemination, and e-learning. However, there is a lack of research focusing on Facebook as a tool for collecting research data. This study aims to fill this gap by analyzing how final-year students utilize Facebook for research data collection (RDC). The study also assesses demographic differences in students’ use of Facebook for RDC. An online survey was conducted on a sample of 11,562 final-year students from tertiary institutions in Nigeria. The researchers followed global best practices in designing and validating the online survey. The survey items demonstrated clarity and relevance, with item content validity indices ranging from .71 to .99. Dimensionality and goodness of fit were assessed through exploratory and confirmatory factor analyses. Convergent validity was evaluated using average variance extracted, while discriminant validity was assessed using the Fornel-Larcker criterion and Heterotrait-Monotrait ratio. The composite reliability indices (.97, .94, and .90) confirmed the usability of the instrument’s three sub-scales. The study’s main findings revealed a significantly low usage of Facebook for RDC among students. Age was a significant predictor, indicating that older students used Facebook more for RDC. While males reported higher usage, the gender difference was negligible. The interaction of age and gender was significant in predicting students’ use of Facebook for RDC. These results have implications for future research, which are further discussed.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139383721","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}
Marina R. Zheltukhina, O. V. Sergeeva, A. Masalimova, Roza L. Budkevich, N. N. Kosarenko, Georgy V. Nesterov
This paper aims to conduct a bibliometric analysis and a comprehensive overview of publications on ChatGPT in educational research. This research also aimed to present the bibliometric results to interpret the research patterns and themes of the application of ChatGPT in educational research. The researchers used the VOSviewer program to conduct a bibliometric analysis and identify research patterns and topics in publications indexed in the Scopus database. For this purpose, the researchers used the Scopus database to find related publications. After applying inclusion and exclusion criteria, they found 82 publications and analyzed them using the bibliometric method. This study showed that researchers from 42 countries examined various topics, including academic writing, artificial intelligence’s (AI) potential, and benefits, using ChatGPT in research, exploring best practices, and reviewing AI. The keyword analysis results showed that five clusters emerged from the current studies on ChatGPT in education research. These results showed that researchers focused on understanding the use of ChatGPT in medical and nursing education, generative AI’s ethical dimensions, the effects of ChatGPT on educational outcomes, large language models and medical education, and ChatGPT and AI. In general, the use of ChatGPT in educational contexts and research is frequently discussed in the publications analyzed in this study. In addition, medical and nursing education was the most studied of the many research studies. Based on the obtained results, recommendations for further studies are drawn.
{"title":"A bibliometric analysis of publications on ChatGPT in education: Research patterns and topics","authors":"Marina R. Zheltukhina, O. V. Sergeeva, A. Masalimova, Roza L. Budkevich, N. N. Kosarenko, Georgy V. Nesterov","doi":"10.30935/ojcmt/14103","DOIUrl":"https://doi.org/10.30935/ojcmt/14103","url":null,"abstract":"This paper aims to conduct a bibliometric analysis and a comprehensive overview of publications on ChatGPT in educational research. This research also aimed to present the bibliometric results to interpret the research patterns and themes of the application of ChatGPT in educational research. The researchers used the VOSviewer program to conduct a bibliometric analysis and identify research patterns and topics in publications indexed in the Scopus database. For this purpose, the researchers used the Scopus database to find related publications. After applying inclusion and exclusion criteria, they found 82 publications and analyzed them using the bibliometric method. This study showed that researchers from 42 countries examined various topics, including academic writing, artificial intelligence’s (AI) potential, and benefits, using ChatGPT in research, exploring best practices, and reviewing AI. The keyword analysis results showed that five clusters emerged from the current studies on ChatGPT in education research. These results showed that researchers focused on understanding the use of ChatGPT in medical and nursing education, generative AI’s ethical dimensions, the effects of ChatGPT on educational outcomes, large language models and medical education, and ChatGPT and AI. In general, the use of ChatGPT in educational contexts and research is frequently discussed in the publications analyzed in this study. In addition, medical and nursing education was the most studied of the many research studies. Based on the obtained results, recommendations for further studies are drawn.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139383804","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}
D. Amanatidis, I. Mylona, Michael F. Dossis, I. Kamenidou, S. Mamalis
In this work we expand on previous results, which were obtained by applying an exploratory factor analysis process. The analysis was carried out on a dataset constructed by means of a quantitative questionnaire regarding consumers’ degree of engagement with social media and their respective online decisions and actions. Thus, the model under study here integrates these three derived constructs; “engagement”, “decision”, and “action” as its building blocks. The aim of this work is twofold: to validate model’s fit leveraging a confirmatory factor analysis process and to investigate the relations between the three factors with structural equation modelling. With respect to the first objective, the measurement part of the model is verified, and its fit is tested and accepted under several heterogeneous indices. Secondly, the structural part of the model is validated against theoretical hypotheses regarding the relations between the three latent variables. Results show that both “engagement” and “decision” predict “action”, with the former however being more important. To the best of our knowledge, the specific model built around these three constructs is not found elsewhere in literature and can prove to be a valuable source of information for e.g., marketers in their effort to apply an efficient marketing strategy.
{"title":"Consumers’ social media engagement and online behavior: A structural equation modelling analysis","authors":"D. Amanatidis, I. Mylona, Michael F. Dossis, I. Kamenidou, S. Mamalis","doi":"10.30935/ojcmt/13857","DOIUrl":"https://doi.org/10.30935/ojcmt/13857","url":null,"abstract":"In this work we expand on previous results, which were obtained by applying an exploratory factor analysis process. The analysis was carried out on a dataset constructed by means of a quantitative questionnaire regarding consumers’ degree of engagement with social media and their respective online decisions and actions. Thus, the model under study here integrates these three derived constructs; “engagement”, “decision”, and “action” as its building blocks. The aim of this work is twofold: to validate model’s fit leveraging a confirmatory factor analysis process and to investigate the relations between the three factors with structural equation modelling. With respect to the first objective, the measurement part of the model is verified, and its fit is tested and accepted under several heterogeneous indices. Secondly, the structural part of the model is validated against theoretical hypotheses regarding the relations between the three latent variables. Results show that both “engagement” and “decision” predict “action”, with the former however being more important. To the best of our knowledge, the specific model built around these three constructs is not found elsewhere in literature and can prove to be a valuable source of information for e.g., marketers in their effort to apply an efficient marketing strategy.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139127839","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 study uses a case study methodology to comprehensively examine HyFlex teaching in the context of K-12 education in a private Turkish school. 60 teachers in 15 disciplines, who had received professional development training in ‘HyFlex lesson plan development,’ participated. Data were collected through lesson plans, pre- and post-implementation reflection reports, and qualitative analysis employed inductive and deductive coding. The findings reveal that well-trained educators with expertise in active learning, formative assessment, cognitive presence, flipped learning, and self-regulated learning effectively implement HyFlex instruction. HyFlex lessons enhance students’ higher-order thinking skills, foster interaction, and build a sense of belonging. However, accommodating asynchronous learners requires careful design. The study acknowledges limitations and suggests future research exploring HyFlex sustainability and comparative analyses with other teaching modes.
{"title":"HyFlex teaching experience and reflections in K-12","authors":"Ozan Filiz, Mehmet Haldun Kaya, Tufan Adiguzel","doi":"10.30935/ojcmt/13858","DOIUrl":"https://doi.org/10.30935/ojcmt/13858","url":null,"abstract":"This study uses a case study methodology to comprehensively examine HyFlex teaching in the context of K-12 education in a private Turkish school. 60 teachers in 15 disciplines, who had received professional development training in ‘HyFlex lesson plan development,’ participated. Data were collected through lesson plans, pre- and post-implementation reflection reports, and qualitative analysis employed inductive and deductive coding. The findings reveal that well-trained educators with expertise in active learning, formative assessment, cognitive presence, flipped learning, and self-regulated learning effectively implement HyFlex instruction. HyFlex lessons enhance students’ higher-order thinking skills, foster interaction, and build a sense of belonging. However, accommodating asynchronous learners requires careful design. The study acknowledges limitations and suggests future research exploring HyFlex sustainability and comparative analyses with other teaching modes.","PeriodicalId":42941,"journal":{"name":"Online Journal of Communication and Media Technologies","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139126427","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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