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关键词： Students  

摘要： Students’ answers to tasks provide a valuable source of information in teaching as they result from applying cognitive processes to a learning content addressed in the task. Due to steadily increasing course sizes, analyzing student answers is frequently the only means of obtaining evidence about student performance. However, in many cases, resources are limited, and when evaluating exams, the focus is solely on identifying correct or incorrect answers. This overlooks the value of analyzing incorrect answers, which can help improve teaching strategies or identify misconceptions to be addressed in the next cohort. In teacher training for secondary education, assessment guidelines are mandatory for every exam, including anticipated errors and misconceptions. We applied this concept to a university exam with 462 students and 41 tasks. For each task, the instructors developed answer classes – classes of expected responses, to which student answers were mapped during the exam correction process. The experiment resulted in a shift in mindset among the tutors and instructors responsible for the course: after initially having great reservations about whether the significant additional effort would yield an appropriate benefit, the procedure was subsequently found to be extremely valuable. The concept presented, and the experience gained from the experiment were cast into a system with which it is possible to correct paper-based exams on the basis of answer classes. This updated version of the paper provides an overview and new potential in the course of using the digital version of the approach. © 2024, CC BY-NC-SA.

关键词： Computer science   Developing world   Policy  

摘要： Language models developed by big technology companies consistently underperform in African languages. It's time to focus on local solutions.

摘要： Preface: 2024 2nd International Conference on Computer Science and Mechatronics (ICCSM 2024), AIP Conference Proceedings, Volume 3194, Issue 1, 11 December 2024

关键词： File systems   Source coding   Object recognition   Computer science  

摘要： In the above article [1] , there is a correction to introduction section in line 6, write application factor (WAF) should be write amplification ***, please include the following link to the acknowledgment: https://***/pingxiang-chen/fuse-fdpfs .

关键词： Graph convolutional networks   Computer science  

摘要： In [1], the affiliation of the primary authors should be as follows:

关键词： Computer science   Ethics   Machine learning   Mathematics and computing   Policy   Technology  

摘要： Large language models such as OpenAI’s o1 have electrified the debate over achieving artificial general intelligence, or AGI. But they are unlikely to reach this milestone on their own.

关键词： 双创型   人工智能   计算机专业   实践课程   教学设计  

摘要： 在人工智能时代背景下,计算机专业实践课程需要进行创新性变革。在“双创型”理念的基础上,研究对课程教学内容进行设计,通过创新思维培养、创业实践训练项目引入,将人工智能专业技能融入课程体系,并借助智能化教学平台辅助教学,实现个性化学习指导,建立教学互动反馈体系,优化调控学习进度,形成符合产业发展需求的教学实施方案。通过校企合作,促进产教融合,推进双师型教学团队建设,并对实践教学质量进行严格监控。这种“双创型”教学模式不仅能显著提升学生的专业素养和职业技能,还能对培养创新型计算机人才起到积极作用。

关键词： 黑神话:悟空   公共图书馆   数字资源   电子游戏  

摘要： 《黑神话:悟空》文旅融合项目的成功,为公共文化服务事业的发展提供了新的思路。公共图书馆数字资源与电子游戏在呈现形式及表现内容的相同点,让公共图书馆数字资源在电子游戏中应用存在可行性。本文探讨了公共图书馆数字资源在电子游戏应用中面临着电子资源局限性、数字资源局限性、合作观念局限性、缺乏专业馆员的困境并提出了相应的对策,希望可以为公共图书馆在这一领域的发展提供有益的探索。

关键词： Computer science   clinical decision support system(CDSS)   medical queries   healthcare   deep learning   recurrent neural network(RNN)   long short-term memory(LSTM)  

摘要： This research aims to enhance Clinical Decision Support Systems(CDSS)within Wireless Body Area Networks(WBANs)by leveraging advanced machine learning ***,we target the challenges of accurate diagnosis in medical imaging and sequential data analysis using Recurrent Neural Networks(RNNs)with Long Short-Term Memory(LSTM)layers and echo state *** models are tailored to improve diagnostic precision,particularly for conditions like rotator cuff tears in osteoporosis patients and gastrointestinal *** diagnostic methods and existing CDSS frameworks often fall short in managing complex,sequential medical data,struggling with long-term dependencies and data imbalances,resulting in suboptimal accuracy and delayed *** goal is to develop Artificial Intelligence(AI)models that address these shortcomings,offering robust,real-time diagnostic *** propose a hybrid RNN model that integrates SimpleRNN,LSTM layers,and echo state cells to manage long-term dependencies ***,we introduce CG-Net,a novel Convolutional Neural Network(CNN)framework for gastrointestinal disease classification,which outperforms traditional CNN *** further enhance model performance through data augmentation and transfer learning,improving generalization and robustness against data scarcity and *** validation,including 5-fold cross-validation and metrics such as accuracy,precision,recall,F1-score,and Area Under the Curve(AUC),confirms the models’***,SHapley Additive exPlanations(SHAP)and Local Interpretable Model-agnostic Explanations(LIME)are employed to improve model *** findings show that the proposed models significantly enhance diagnostic accuracy and efficiency,offering substantial advancements in WBANs and CDSS.

关键词： SPOC模式   计算机专业   教学活动   课程环节   效果分析  

摘要： 随着信息互联网技术的快速发展,计算机技术已经成为推动社会进步与经济增长的重要力量。加快计算机专业教育教学改革是全面提升计算机专业人才培养质量的重要路径。本文基于SPOC的教学基础理论,构建了基于SPOC的计算机专业教学模式,重点对教学活动和课程环节进行实证设计。研究结果发现,实验班学生在考试成绩、学习能力及自主学习方面具有显著优势;此外,实验班学生对SPOC教学法和教学活动的整体满意度评价良好。最后,提出了在课程设计和反馈评价方面提升和完善的相关建议,以期为后续教学提供参考借鉴。