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关键词： 非计算机专业   人工智能   Python  

摘要： 以“Python程序设计”课程为例,探讨如何在非计算机专业的课程中嵌入人工智能相关的技能技术教育,从课程内容重构、作业评测方法改革、云化机房建设的角度讨论了Python程序设计课程教学改革方式。提出了Python程序设计课程结合人工智能教育改革的具体计划,并分析了相关改革成果。所提出的方案适用于可与人工智能形成交叉学科的非计算机专业。

摘要： Alternative Grading systems have recently been framed as a way to grade for equity. These systems have been framed in many ways, mastery grading, specifications grading, un-grading, etc. In addition there are some steps in assessment that are different than those in standard grading systems. These include provide multiple chances to succeed, encourage revisions of work, change the scale of grading in the classroom to match the scale of grading of the school, and include flexibility with deadlines. In order to gain adoption of alternative grading, practitioners claim that a course can be changed incrementally using equitable grading practices. With that in mind, this paper explores the question of how robust final examination scores are to incremental changes to the grading of a course? Specifically, this paper looks at 1) the modification of homework assignments to have automatic test suites for grading, 2) the modification of multiple choice quizzes to allow for unlimited attempts by the deadline, and 3) the use of self-assessment worksheets and a self assessment narrative as the main grading criteria. This study looks at six different semesters of the third course in a sequence of computer science and programming fundamentals courses. Across semesters, incremental changes to the grading system were made, with only minor changes to the assignments given in order to deter cheating by using prior answers to assignments.

关键词： “双创”元素   地方高校   数据结构   核心课程   “专创融合”   教学改革  

摘要： 创新创业教育(“双创”教育)改革是目前高等教育教学改革发展的重要内容之一,将“双创”教育改革和普通地方高校专业核心课程教学改革相融合,培养普通地方高校低年级大学生的创新创业意识和能力,对普通高校教育教学改革发展来说是一个重要的探索和研究过程。该文以地方高校计算机专业核心课程数据结构在新时代的教学改革为背景,在课程教学改革中融合“双创”元素,将创新创业教育和专业课程教学进行融合改革探索,从而为“专创融合”教学改革提供参考。

关键词： 精神分裂症   康复期   多元化团体互动健康教育   正念减压干预   负性情绪   心理弹性   生活质量  

摘要： 目的探究在康复期精神分裂症患者中实施多元化团体互动健康教育联合正念减压护理干预对负性情绪、生活质量的影响。方法随机选取2021年6月—2023年6月靖江市第二人民医院收治的160例康复期精神分裂症患者为研究对象,依据不同护理方法分为两组,各80例。对照组实施常规护理,观察组实施多元化团体互动健康教育联合正念减压护理干预,两组患者均干预3个月。比较两组患者心理弹性、负性情绪、生活质量评分。结果护理前,两组患者负性情绪评分比较,差异无统计学意义(P>0.05);护理后,观察组抑郁自评量表评分为(43.25±2.06)分、焦虑自评量表评分为(46.18±1.92)分均低于对照组的(44.11±2.18)分、(47.02±2.26)分,差异有统计学意义(t=2.565、2.534,P均<0.05)。护理前,两组患者心理弹性评分比较,差异无统计学意义(P>0.05);护理后,观察组心理弹性量表评分高于对照组,差异有统计学意义(P<0.05)。护理前,两组患者生活质量评分比较,差异无统计学意义(P>0.05);护理后,观察组生活质量综合评定问卷评分高于对照组,差异有统计学意义(P<0.05)。结论多元化团体互动健康教育联合正念减压护理干预能够有效调节康复期精神分裂症患者心理状态,缓解负性情绪,改善心理弹性水平,提升生活质量。

关键词： Feature extraction   Internet of Things   Adaptation models   Indexes   Hybrid power systems   Data mining   Computer science   hyperspectral image (HSI)   pseudo-label feature learning   spectral-spatial mixing distance  

摘要： Hyperspectral image (HSI) in Internet of Things (IoT) is a typical small sample data set, which is difficult and costly to label samples manually. In the feature extraction, it is difficult to increase the interclass distance and reduce the intraclass variance according to the limited label information, resulting in easy misclassification of the extracted features. To solve this problem, this article proposes an adaptive pseudo-label feature learning (APFL) model. In the APFL model, a hybrid distance pseudo-label generation (HDPG) method was designed to generate pseudo-labels by iterative multiscale superpixel segmentation using the spectral-spatial mixing distance information, while a pseudo-label feature generation (PFG) method was designed to generate pseudo-label features using pseudo-labels to capture the intraclass average vectors of HSI principal component features. Finally, the extracted pseudo-label features are classified at the pixel level. This APFL model can effectively reduce the intraclass variance and increase the interclass distance of the HSI data, thus improving the interclass separability. We have done comparative verification experiments on five commonly used HSI data sets in IoT. Compared with the current advanced feature extraction methods and classification methods, the proposed APFL model in this article has higher classification accuracy.

摘要： The transition to college is a significant change for all incoming students, but it can be a bit more complicated for neurodivergent students. Chestnut Hill College's (CHC) Neurodiversity Program recognizes this and works to ensure student success in college through an inclusive environment. Building upon the CHC value and mission of the "Dear Neighbor." Over the last year, the CSIT department has been actively engaged in working with students in the neurodiversity program. This idea will delve into some of the teaching techniques and feedback gathered from students in our program, highlighting our department's commitment to supporting neurodiverse students in their educational journey.

关键词： 航空科技文献   信息   检索方法  

摘要： 随着航空工业的迅速发展,航空科技文献的品种和数量都在快速增长,航空文献的传递方式也随着互联网的发展不断更新和改进。基于此,本文介绍航空科技文献的计算机检索方法与获取途径,通过实例解析进一步分析航空科技文献检索的基本步骤与过程。本研究可以为航空科技工作者提供有效的文献检索方法和获取途径,有助于他们快速、准确地获取所需的文献信息,从而推动航空科技的进步和发展。

摘要： Understanding students' computer science learning conception and learning approach is essential for improving their learning experience and performance. By applying qualitative content analysis, machine learning techniques and a descriptive approach, this study explores the associations between demographic characteristics, computer science learning approaches, and conceptions among undergraduate students. The findings of this study reveal associations between students' learning approaches and demographic factors such as grades, gender, and parents' education. Moreover, the study highlights discrepancies between students' learning approaches and their motivation and strategy for learning.

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