Computers and Education Open最新文献

{"title":"Considering and measuring student perceptions on the role of using social media as an educational tool in science courses","authors":"Daniel G. Ferguson,&nbsp;Caitlin Campbell,&nbsp;Zachary L. Nolen,&nbsp;Kristy L. Daniel","doi":"10.1016/j.caeo.2025.100250","DOIUrl":"10.1016/j.caeo.2025.100250","url":null,"abstract":"<div><div>Social media has become a major force in the internet age and has gained much interest as a potential new educational tool. Currently, many instructors assume that students have positive perceptions of using social media in their courses. However, there is no instrument that can assess student perceptions of social media use in academic courses. We created and tested the perceptions of social media (POSoM) questionnaire and determined its factorability through an exploratory factor analysis. Using Cronbach's alpha, we confirmed the reliability of our four factors. We found that the POSoM questionnaire contained four reliable factors: Academic Perceptions, Academic Usage, Academic Communication, and Personal Usage. Using the POSoM questionnaire, we found that students do not want to communicate in academic settings through social media and are apathetic to use of social media for other academic uses. Our results provide a new reliable instrument that can be used to further explore students’ perceptions of social media in science courses.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100250"},"PeriodicalIF":4.1,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gender Disparities in K-12 Computer Science Education: Status, Contributing Factors, and Instructional Approaches","authors":"Kyungbin Kwon ,&nbsp;Sang Joon Lee ,&nbsp;Keunjae Kim","doi":"10.1016/j.caeo.2025.100253","DOIUrl":"10.1016/j.caeo.2025.100253","url":null,"abstract":"<div><div>This study conducts a systematic review of the literature to investigate gender disparities in K-12 computer science (CS) education. We selected articles published in peer-reviewed journals that focused on both cognitive and affective aspects of computational thinking and CS education at the primary and secondary levels. A total of 29 studies were reviewed, and their findings were synthesized to assess the status of gender disparities, contributing factors, and instructional approaches. The results indicated that gender differences in cognitive and affective dimensions of CS education become more evident as students advance through school, with a greater negative impact on girls. The review identified three interconnected factors contributing to these disparities: socio-cultural influences, educational environments, and individual psychological factors. Additionally, the study proposed instructional approaches to address these issues and recommended future research to fill the current gaps in CS education research.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100253"},"PeriodicalIF":4.1,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Self-Determination Theory to Explain How Mind Mapping and Real-time Commenting Enhance Student Engagement and Learning Outcomes in Video Creation","authors":"Xueqing FANG ,&nbsp;Thomas K.F. CHIU","doi":"10.1016/j.caeo.2025.100254","DOIUrl":"10.1016/j.caeo.2025.100254","url":null,"abstract":"<div><div>Video creation provides students with opportunities to engage in authentic learning experiences while developing knowledge and 21st-century skills across various subjects. The student-created video activity could be an effective pedagogical approach for contemporary higher education teaching in the artificial intelligence (AI) Era. However, its full potential has yet to be realized, and more research is needed to explore learning methodologies that can enhance its effectiveness. Mind mapping (MM) and real-time commenting (RTC) are two strategies that have been shown to enhance student engagement. This study investigated the effects of MM (with vs. without) and RTC (with vs. without) on students’ need satisfaction, engagement, creativity, and collaboration, using Self-Determination Theory (SDT) to explain how the two strategies influence engagement and learning outcomes in video creation activities. We conducted an eight-week intervention study with 138 Chinese university students, using a 2 × 2 between-subjects factorial design, with four experimental groups: video creation (VC), video creation with MM (VC-MM), video creation with RTC (VC-RTC), and video creation with both MM and RTC (VC-MMRTC). Our analysis revealed that: (i) MM significantly satisfied students’ needs for autonomy, competence, and relatedness, while RTC significantly fulfilled their need for relatedness; (ii) MM significantly improved students’ behavioral, cognitive, and agentic engagement, while RTC significantly enhanced their emotional engagement; (iii) MM significantly improved students’ collaboration; and (iv) neither the MM nor RTC significantly improved students’ creativity. The results highlight the effectiveness of integrating MM and RTC strategies in satisfying students’ three psychological needs, enhancing four types of student engagement, and improving collaboration in video-based learning activities. With the help of generative AI tools, instructors and students can easily adopt these strategies for effective learning.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100254"},"PeriodicalIF":4.1,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence in Ethiopian school curriculum: Educators' practices, challenges, and recommendations","authors":"Fitsum Gizachew Deriba,&nbsp;Ismaila Temitayo Sanusi","doi":"10.1016/j.caeo.2025.100251","DOIUrl":"10.1016/j.caeo.2025.100251","url":null,"abstract":"<div><div>In light of the ongoing discourse on integrating artificial intelligence (AI) into formal education systems, it is imperative to examine both curriculum and teaching practices, particularly in developing regions. This study explores the Information Communication and Technology (ICT) curriculum of Ethiopian secondary schools to identify AI-related content within the learning guide. Additionally, it assesses ICT educators' knowledge, practices, challenges, and recommendations for effectively implementing AI in Ethiopian schools. Employing a qualitative approach, this study reviewed AI content in the Ethiopian secondary school ICT curriculum and conducted audio-recorded interviews with 10 ICT teachers. Document analysis and thematic analysis were utilized to interpret the collected data. The AI content in the curriculum was analyzed and findings were discussed within the framework of the Five Big Ideas in AI. Our findings reveal that the AI content in the Ethiopian secondary school ICT curriculum is predominantly definitional. The thematic analysis of teacher interview data highlights the methods employed in teaching AI, including pedagogical challenges such as limited understanding of AI concepts. Furthermore, several recommendations emerged for the effective implementation of AI in schools, including curriculum revisions to incorporate AI topics in early childhood and primary education, as well as professional development opportunities. We also discuss the implications, limitations, and future research directions of this study.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100251"},"PeriodicalIF":4.1,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From knowledge to intention: The role of TPACK and self-efficacy in technology integration","authors":"Thomas Schubatzky ,&nbsp;Jan-Philipp Burde ,&nbsp;Rike Große-Heilmann ,&nbsp;Andreas Lachner ,&nbsp;Josef Riese ,&nbsp;David Weiler","doi":"10.1016/j.caeo.2025.100246","DOIUrl":"10.1016/j.caeo.2025.100246","url":null,"abstract":"<div><div>Educational technology (ET) is playing an increasingly important role in classrooms and has the potential to support student learning. However, teachers need to implement ET in a purposeful way. A necessary –but insufficient –condition for meaningful implementation of ET is the intention to use it in the first place. This study aims to investigate the predictors of pre-service teachers’ intention to use ET, specifically focusing on how technological pedagogical content knowledge (TPCK) interacts with the constructs of the Technology Acceptance Model (TAM). While previous research has frequently employed self-reported TPCK to explore these relationships, our study uses a test-based measure to provide a more objective assessment. We also aim to understand how these relationships evolve over time, particularly during a technology integration seminar in teacher education. Using path analysis including N = 146 preservice teachers, we examined the relationships between test-based TPCK, self-efficacy, and the TAM variables (perceived usefulness, perceived ease of use, and intention to use ET). Our findings indicate that self-efficacy is a strong predictor of perceived usefulness, perceived ease of integration, and intention to use ET, whereas TPCK primarily influences perceived usefulness and indirectly affects intention. Furthermore, we observed that the roles of TPCK and self-efficacy shift over time. This study contributes to a deeper understanding of how objective measures of professional knowledge can reshape interpretations of TAM studies and guide the design of teacher preparation programs.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100246"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive methodology for curriculum development, training delivery and certification using learning outcomes and digital badges","authors":"Nadia Catenazzi ,&nbsp;Lorenzo Sommaruga ,&nbsp;Kylene De Angelis ,&nbsp;Sara Caboni","doi":"10.1016/j.caeo.2025.100248","DOIUrl":"10.1016/j.caeo.2025.100248","url":null,"abstract":"<div><div>This paper proposes a comprehensive methodology to implement learning outcomes-based training and assessment, starting with the course planning, followed by the training delivery, and ending with the assessment and recognition of the achieved learning outcomes with the release of digital badges. The methodology consists of a number of steps organized in three main phases: curriculum development, micro-credentials and digital badge setting, training delivery and badge awarding. The methodology has been applied and refined in the context of Vocational Education and Training projects, enabling the creation of a learning outcomes-based modular curriculum, the creation of a constellation of digital badges based on the Open Badges standard, and the creation of an infrastructure for the release of digital badges. In the learning outcome journey, it represents a showcase of how intended and achieved learning outcomes can be aligned.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100248"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative study of student perceptions on generative AI in programming education across Sub-Saharan Africa","authors":"Solomon Sunday Oyelere ,&nbsp;Kehinde Aruleba","doi":"10.1016/j.caeo.2025.100245","DOIUrl":"10.1016/j.caeo.2025.100245","url":null,"abstract":"<div><div>In today's era of technological evolution, programming education is crucial for shaping the future workforce and fostering innovation. However, access to quality computer science education remains a significant challenge with Sub-Saharan Africa nations experiencing a pronounced digital divide. Despite growing interest in technology, these countries struggle with unequal access to educational resources. AI-driven tools like ChatGPT, Codey, and GitHub Copilot offer personalized learning experiences that could democratize access to knowledge and reshape programming education. This quantitative study examines the impact of these AI tools on fostering inclusive education in Kenya, Nigeria, and South Africa. It involves 322 university students, using purposive sampling and online questionnaires. Various quantitative analyzes, including descriptive statistics, country-wise comparisons, one-way ANOVA, Kruskal–Wallis tests, and correlation analysis, were conducted. The study reveals students’ motivations for programming, their attitudes towards AI-driven educational tools, and the perceived impact on equity, diversity, and inclusion. Significant variations were found in attitudes based on educational level and country of residence, highlighting the need for tailored strategies to enhance the inclusivity and effectiveness of AI-driven programming education tools.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100245"},"PeriodicalIF":4.1,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do help-seeking and help-abuse affect learning achievement in an interactive learning environment?","authors":"Andreas Schulz,&nbsp;Johannes Voermanek","doi":"10.1016/j.caeo.2025.100247","DOIUrl":"10.1016/j.caeo.2025.100247","url":null,"abstract":"<div><div>Students' help-seeking behavior plays a central role in successful learning with interactive learning environments (ILEs), such as intelligent tutoring systems that provide on-demand help, including step-by-step hints or strategic help for solving mathematics problems. However, learners can also abuse the help offered when trying to successfully complete an ILE by using the hints provided primarily to find the required solution with as little effort as possible, rather than using the hints to support their learning efforts. This type of help abuse by learners undermines the purpose of an ILE. The present study investigated the extent to which self-reported help-abuse of 322 student teachers mediates the effect of observed help-seeking on learning number conversion in an ILE. Further, we examined the moderating effects of prior knowledge and academic self-concept in mathematics (MSC) on the effects of help-seeking and help-abuse on learning. The results showed that increased help-seeking had a significant negative impact on learning achievement. However, this could only be observed for the use of step-by-step hints, but not for the use of strategic help. The extent of self-reported help-abuse largely mediated the negative influence of observed help-seeking on learning achievement. The study indicates that step-by-step hints in ILEs could be faded out in the learning process and that more emphasis should be placed on strategic help that encourages self-explanations.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100247"},"PeriodicalIF":4.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TPACK in context: An updated model","authors":"Dominik Petko ,&nbsp;Punya Mishra ,&nbsp;Matthew J Koehler","doi":"10.1016/j.caeo.2025.100244","DOIUrl":"10.1016/j.caeo.2025.100244","url":null,"abstract":"<div><div>The Technological Pedagogical and Content Knowledge (TPACK) framework has evolved significantly since its introduction, particularly in its treatment of context. The original model acknowledged contexts through a dotted circle surrounding the framework's core components; however, understanding and operationalizing these contexts has remained challenging for researchers and practitioners. We address this challenge by proposing a new conceptual synthesis that bridges two prominent approaches to context in TPACK: contexts as external influences and Contextual Knowledge (XK) as a distinct knowledge domain. We argue that both perspectives are essential and complementary. Drawing on research from cognitive psychology, teacher expertise, and situated learning, we argue that TPACK exists simultaneously as teacher knowledge that is shaped by external contexts (contextualized knowledge) and as knowledge about educational environments (Contextual Knowledge). This dual nature is reflected in our proposed model, which maintains the original framework's dotted circle representing external contexts while incorporating XK as an additional knowledge domain. This reconceptualization provides theoretical clarity and practical utility for understanding how teachers develop and apply their technology integration knowledge across different educational settings.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100244"},"PeriodicalIF":4.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Representing groups of students as personas: A systematic review of persona creation, application, and trends in the educational domain","authors":"Ali Farooq ,&nbsp;Amani Alabed ,&nbsp;Pilira Stella Msefula ,&nbsp;Reham AL Tamime ,&nbsp;Joni Salminen ,&nbsp;Soon-gyo Jung ,&nbsp;Bernard J. Jansen","doi":"10.1016/j.caeo.2025.100242","DOIUrl":"10.1016/j.caeo.2025.100242","url":null,"abstract":"<div><div>This study presents a comprehensive systematic review of the use of student personas in education, drawing insights from 83 publications identified through the ACM Digital Library, Web of Science, and Scopus. The analysis reveals that qualitative methodologies dominate persona development, with limited adoption of data-driven algorithmic approaches. Most studies constructed small persona sets—typically four or fewer—focusing on dimensions such as behaviors, beliefs, goals, needs, experiences, perceptions, and demographics, contrasting with larger sets found in industry. Predominantly featured in educational conferences, student personas were employed to (1) understand user needs, goals, and behaviors, (2) support the design and development of learning systems, (3) enhance teaching and learning practices, (4) facilitate persona-based roleplaying, and (5) promote diversity, inclusivity, and accessibility. However, the assessment of personas’ impact in these areas remains minimal. The findings suggest significant opportunities for the educational sector to leverage algorithmic methods to advance persona creation and broaden their application scope.</div></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"8 ","pages":"Article 100242"},"PeriodicalIF":4.1,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}