{"title":"Understanding college students’ cross-device learning behavior in the wild: Device ecologies, physical configurations, usage patterns, and attention issues","authors":"Qingchuan Li, Zhao Xu, Yang Chen","doi":"10.1016/j.compedu.2025.105259","DOIUrl":"10.1016/j.compedu.2025.105259","url":null,"abstract":"<div><div>The use of multiple devices to access educational materials is becoming more prevalent, offering benefits for both formal and informal learning. However, research on college students' cross-device learning patterns and the challenges remains limited. This study employed a two-week diary study method and follow-up interviews with 36 college students. Comprehensive data were collected from 374 cross-device learning activities, including text, voice recordings, and photos, offering valuable insights into participants' cross-device learning behaviors in terms of the device ecologies, physical configurations, usage patterns, and attention issues. Regarding device ecology, students typically used two to three types of education devices, with laptops and desktops serving as primary tools, and smartphones, tablets and smartwatches as secondary aids. Physically, devices were often arranged vertically and positioned in ways that required body or head movement. The students’ usage patterns revealed a preference of completing tasks simultaneously rather than sequentially. Five key workflow patterns were identified, from most to least prevalent: integrated, partition, migrated, expanded and cloned. Common combinations of these workflows included the integrated-partition, integrated-expanded, and integrated-migrated patterns. Instant messaging applications were the most frequently used method for information and data transfer. In terms of attention issues, most participants prioritized their attention allocation. Endogenous attention shifts occurred slightly more frequently than exogenous shifts, though exogenous shifts were more disruptive to learning efficiency and motivation. These findings offer valuable insights for developing future cross-device learning platforms, particularly those focused on enhancing attention management and improving learning experiences.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"229 ","pages":"Article 105259"},"PeriodicalIF":8.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The synergistic effects in an AI-supported online scientific argumentation learning environment","authors":"Yu-Ren Lin , Cheng-Yu Hung","doi":"10.1016/j.compedu.2025.105251","DOIUrl":"10.1016/j.compedu.2025.105251","url":null,"abstract":"<div><div>This study combines scientific argumentation, gamified learning, and textual scaffolding to address the needs of cognitive, affective, and skill-based dimensions, designing an AI-interactive learning environment. Through the synergy created by these three dimensions, it aims to promote scientific argumentation learning. An online learning platform called AI web-based online learning in argumentation (AWOLA) was developed to support the study, featuring three distinct versions: gamified learning with textual scaffolding, gamified learning only, and textual scaffolding only. Four scientific argumentation topics, arranged from descriptive to theoretical, were incorporated into the platform. A total of 285 ninth-grade students participated in this quasi-experimental study, evenly distributed across three experimental groups and a control group based on prior knowledge. The experimental groups used three different versions of AWOLA, while the control group received primarily teacher-centered lecture instruction. Results revealed that differences among the three experimental groups were more pronounced for theoretical scientific argumentation topics compared to descriptive ones. Students in the group experiencing the most comprehensive synergy outperformed others in scientific knowledge understanding (including learning progress and retention), learning motivation, and the construction of multiple arguments. These students demonstrated precise use of scientific terminology and interacted with AI as a bridge connecting abstract concepts to everyday experiences. Even with AI-assisted learning, there is still considerable room for improvement in students' argumentation skills.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"229 ","pages":"Article 105251"},"PeriodicalIF":8.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143148755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carita Kiili , Kristian Kiili , Eija Räikkönen , Julie Coiro
{"title":"Explicit video-based instruction enhanced students’ online credibility evaluation skills: Did storifying instruction matter?","authors":"Carita Kiili , Kristian Kiili , Eija Räikkönen , Julie Coiro","doi":"10.1016/j.compedu.2025.105252","DOIUrl":"10.1016/j.compedu.2025.105252","url":null,"abstract":"<div><div>This study tested the efficacy of explicit video-based instruction (4 x 45-min lessons) in promoting sixth graders' online credibility evaluation skills. It also investigated whether storified instruction enhanced learning more than non-storified instruction. Storified and non-storified interventions contained the same learning content, and the same components of explicit instruction informed their design. The only difference in the two formats was that storified instruction was framed as a detective school, and non-storified instruction did not include any storified elements. In storified instruction, students joined the detective school, taught by two fictitious detectives who appeared as human instructors in the videos. Storified elements were also integrated into other learning materials to provide students with a holistic learning experience. The study employed a quasi-experimental research design with three conditions: storified instruction (<em>n</em> = 115), non-storified instruction (<em>n</em> = 135), and control (<em>n</em> = 127) conditions. Learning of online credibility evaluation skills was assessed with a credibility evaluation task that measured students' skills to confirm more credible online texts, question less credible online texts, and justify their overall evaluations. In the post-test, both intervention conditions outperformed the control condition in questioning the less credible online texts and justifying their evaluations. Notably, storified and non-storified instructions similarly improved students’ online credibility evaluation skills. Examination of the intervention effects for each individual revealed that basic reading skills were not associated with the level of change in questioning less credible online texts and justifying credibility evaluations. This suggests that video-based explicit instruction has the potential to support different kinds of readers.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"229 ","pages":"Article 105252"},"PeriodicalIF":8.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143072445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuheng Li , Mladen Raković , Namrata Srivastava , Xinyu Li , Quanlong Guan , Dragan Gašević , Guanliang Chen
{"title":"Can AI support human grading? Examining machine attention and confidence in short answer scoring","authors":"Yuheng Li , Mladen Raković , Namrata Srivastava , Xinyu Li , Quanlong Guan , Dragan Gašević , Guanliang Chen","doi":"10.1016/j.compedu.2025.105244","DOIUrl":"10.1016/j.compedu.2025.105244","url":null,"abstract":"<div><div>Large language models built upon artificial intelligence (AI) hold great promises to innovate automatic short answer scoring (ASAS) - significantly alleviating educators’ workload in assessing student answers. However, ASAS systems on such basis have seen limited adoption in authentic teaching environments due to the models’ inability to explain the predictions they generate. To address this, we recruited 32 human graders to comparatively analyse the decision-making processes of human graders and AI-driven graders. Specifically, we exploited two types of data to holistically unveil the decision-making processes of human graders throughout grading, namely manual annotation of important words and gaze data of the human graders. The decision-making processes of AI-driven graders were revealed by important words extracted though eXplainable Artificial Intelligence technique and grading confidence reflected by the prediction probability distributions. We measured the alignment in their decision-making regarding their (i) estimated scoring difficulty, (ii) important text segments and (iii) crucial grammatical categories to enhance the transparency and trustworthiness of AI-driven graders. Subsequently, we conducted randomised control studies, presenting machine-extracted insights like important words and estimated scoring difficulty to scrutinise how they affected human grading. Our findings contribute new knowledge regarding the consistency between human and machine scoring and validates machine-extracted insights, such as important words and scoring difficulty, to be valuable in facilitating human grading, encouraging the adoption of ASAS systems and urging the potential collaboration between machine and human grading in pedagogical practices. However, we emphasised the significance of grasping question context and intricacy before leveraging such machine-extracted insights.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"228 ","pages":"Article 105244"},"PeriodicalIF":8.9,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siu Cheung Kong , Ting Jun Lin , Yee Man Kayla Siu
{"title":"The role of perceived teacher support in students’ attitudes towards and flow experience in programming learning: A multi-group analysis of primary students","authors":"Siu Cheung Kong , Ting Jun Lin , Yee Man Kayla Siu","doi":"10.1016/j.compedu.2025.105249","DOIUrl":"10.1016/j.compedu.2025.105249","url":null,"abstract":"<div><div>Programming education has become essential in primary schools, yet students' perceptions vary significantly across different achievement levels. While teacher support is crucial for learning, little is known about how it influences students' attitudes and flow experience across different achievement groups in programming education. This study examined the interrelationships among perceived teacher support, students' attitudes, and flow experience in programming learning across different achievement levels. Data were collected through surveys from 549 students across 43 Hong Kong primary schools. Students were categorised into three groups based on their programming achievement levels: above-average, average, and below-average. A multi-group mediation analysis was conducted to examine the relationships between variables. The above-average group showed significantly more positive perceptions across all variables than other groups. Students’ attitudes mediated the relationship between perceived teacher support and flow experience differently across achievement groups. The findings highlight the importance of differentiated teacher support strategies across achievement tiers and suggest that fostering positive attitudes towards programming is crucial for all achievement levels, particularly through enhancing the perceived usefulness of programming.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"228 ","pages":"Article 105249"},"PeriodicalIF":8.9,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142987973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fangzhou Jin, Lanfang Sun, Yunqiu Pan, Chin-Hsi Lin
{"title":"High heels, compass, spider-man, or drug? Metaphor analysis of generative artificial intelligence in academic writing","authors":"Fangzhou Jin, Lanfang Sun, Yunqiu Pan, Chin-Hsi Lin","doi":"10.1016/j.compedu.2025.105248","DOIUrl":"10.1016/j.compedu.2025.105248","url":null,"abstract":"<div><div>This research employed metaphor analysis to explore 277 postgraduate students' perceptions of the role of generative artificial intelligence (GenAI) in academic writing. All participants were international students, from a total of 14 countries and regions, studying in the United Kingdom. Data collection was carried out in two phases. The first was a survey comprising demographic and metaphor-related questions, and the second involved metaphor checking, in which participants provided screenshots of their interactions with GenAI. The data, which were analyzed both qualitatively and quantitatively, yielded 53 unique metaphors for the concept of GenAI in academic writing. We divided these into four conceptual categories in what we term the 4T Pyramid Model: Technical Support (representative metaphor: high-heeled shoes), Text Development (compass), Transformative Potential (Spider-Man), and Threat (drug). The respondents' academic disciplines influenced their perceptions of GenAI, but overall, the results suggest that most viewed it as transformative, i.e., more than just a writing tool. This study's innovative methodology integrating metaphor analysis with real user interactions offers a framework, aligned with Bloom's Taxonomy, that reveals the multi-level benefits and potential risks of GenAI. It also provides actionable insights for AI literacy education, including strategies for effective prompt design.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"228 ","pages":"Article 105248"},"PeriodicalIF":8.9,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Topical Review of Research in Computer-Supported Collaborative Learning: Questions and Possibilities","authors":"Rogers Kaliisa , Sonsoles López-Pernas , Kamila Misiejuk , Crina Damşa , Márta Sobocinski , Sanna Järvelä , Mohammed Saqr","doi":"10.1016/j.compedu.2025.105246","DOIUrl":"10.1016/j.compedu.2025.105246","url":null,"abstract":"<div><div>This study maps the evolution and state of Computer-Supported Collaborative Learning (CSCL) research, analyzing 6388 documents published between 1990 and 2022. The findings highlight the sustained engagement of a core group of scholars and the field's geographic concentration in Western countries, particularly the USA and Europe. While the field remains productive and diverse, recent trends reflect a growing emphasis on integrating emerging technologies such as learning analytics, augmented and virtual reality, and artificial intelligence (AI) into collaborative learning contexts. The study uncovers a tension within CSCL between its epistemological and methodological diversity and the need for theoretical coherence. This diversity has allowed the field to adapt and innovate but raises concerns about fragmentation and the risk of losing a unified identity. For example, while scripting remains a foundational topic, debates persist on balancing instructional guidance with learner agency to foster productive collaboration. Looking ahead, the study underscores the need for CSCL to develop integrative theoretical frameworks that bridge its rich historical foundations with the challenges posed by large-scale, distributed, and technology-mediated collaboration. Addressing these challenges, such as aligning AI innovations with existing theories and ensuring cumulative knowledge-building, will be critical for the field's ability to sustain its relevance and influence in understanding collaborative learning in complex educational environments.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"228 ","pages":"Article 105246"},"PeriodicalIF":8.9,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How do Chinese undergraduates harness the potential of appraisal and emotions in generative AI-Powered learning? A multigroup analysis based on appraisal theory","authors":"Chan Wang, Hongbiao Yin","doi":"10.1016/j.compedu.2025.105250","DOIUrl":"10.1016/j.compedu.2025.105250","url":null,"abstract":"<div><div>The rapid development of generative AI (GenAI) has sparked increasing interest in its potential impact on student learning. Drawing on cognitive appraisal theory and AI device use acceptance (AIDUA) model, this study aims to investigate the complex dynamics of GenAI adoption among university undergraduates. Especially, our study examined how social, personal, and technological factors (social influence, hedonic motivation, and anthropomorphism) contributed to their cognitive appraisal and emotional experience with GenAI, analyzed how these cognitive-emotional responses affected their GenAI-powered learning productivity, and explored how this influential mechanism differs across various groups. We surveyed 2,026 Chinese undergraduates who had used GenAI in their studies. The findings indicated that the influence from others on using GenAI and hedonic motivation toward using GenAI were positively related to undergraduates’ appraisal of using GenAI as a challenge and negatively related to their view of it as a hindrance. Conversely, the anthropomorphic features of GenAI showed the opposite pattern. Undergraduates who viewed using GenAI as a challenge reported more positive emotions and demonstrated higher GenAI-powered learning productivity. Those who saw it as a hindrance experienced more negative emotions but showed no significant relationship with GenAI-powered learning productivity. Moreover, undergraduate students’ appraisal of using GenAI as a challenge or a hindrance and their emotional experiences played mediating roles in this influential process. Importantly, these relationships varied significantly across different student groups, highlighting the need for tailored approaches in GenAI integration. Our study provides insights for educators and policymakers on effectively integrating GenAI in higher education.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"228 ","pages":"Article 105250"},"PeriodicalIF":8.9,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fitore Morina , Tim Fütterer , Nicolas Hübner , Steffen Zitzmann , Christian Fischer
{"title":"Effects of online teacher professional development on teacher-, classroom-, and student-level outcomes: A meta-analysis","authors":"Fitore Morina , Tim Fütterer , Nicolas Hübner , Steffen Zitzmann , Christian Fischer","doi":"10.1016/j.compedu.2025.105247","DOIUrl":"10.1016/j.compedu.2025.105247","url":null,"abstract":"<div><div>Teachers' professional development is crucial for effective classroom practice. Due to its advantages, many teachers have participated in online professional development (OPD) in recent years. Numerous studies have investigated the participation and effect of first to 12th grade in-service teachers' OPD participation on the teacher, classroom practice, or student level. However, a comprehensive meta-analysis of these studies is missing. This meta-analysis summarizes findings from 102 quantitative studies with a pre-posttest design. The results indicate medium effects of OPD participation on the teacher level (Hedges' <em>g</em> = 0.71) and on the classroom level (Hedges' <em>g</em> = 0.55) and a small effect on the student level (Hedges' <em>g</em> = 0.19). We included Desimones' (2009) core features of effective PD participation as moderators. We found that the core feature of collective participation positively influenced the effect size of the classroom level. Furthermore, we found that studies that employed a control-group design reported significantly lower effect sizes on teacher-level outcomes than studies that used a within-subject design. On the student's level, studies with asynchronous OPD reported significantly smaller effect sizes than studies with a synchronous OPD format. Our results aim to provide research, policymakers, educational stakeholders, and teachers with the clarity that OPD is effective on several levels and should, therefore, be encouraged.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"228 ","pages":"Article 105247"},"PeriodicalIF":8.9,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A systematic review of the use of log-based process data in computer-based assessments","authors":"Surina He , Ying Cui","doi":"10.1016/j.compedu.2025.105245","DOIUrl":"10.1016/j.compedu.2025.105245","url":null,"abstract":"<div><div>In recent decades, log-based process data has been increasingly used in computer-based assessments to examine test-takers' response patterns and latent traits. This study provides a systematic review of the use of log-based process data in computer-based assessments. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline, we identified 2548 publications, of which 330 were finally included in this study after careful screening and full-text review. The results of this study can assist researchers in better understanding: (1) what are the trends in using log-based process data in computer-based assessments, (2) which process indicators have been constructed from raw log files, (3) what latent constructs have been inferred from process indicators and at what inferential levels, and (4) what are the benefits, challenges, and future recommendations for using log-based process data. By examining these questions, we conclude that the use of log-based process data in computer-based assessment shows many potentials for enhancing the assessment. Therefore, more study using log-based process data in various fields is encouraged to better understand test-takers’ underlying response processes during assessments. Additionally, there is also a considerable demand for validating process indicators and the generalizability of findings.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"228 ","pages":"Article 105245"},"PeriodicalIF":8.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142987974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}