基于线上线下混合式教学的高职课堂教学质量评价调查研究——以现代物流管理专业为例

“互联网技术+教育”新型教学模式普及应用，使线上线下混合式教学模式成为职业院校课堂教学主要模式，这也是顺应了教育部新一轮教学改革的要求，也是推进教育数字化的基本要求。而教学评价又是指根据专业人才培养目标，通过一定的方式对教师的教学效果及学生的学习效果进行相应的评价，是针对授课教师和学生学习情况做出的正确判断，也是建立在一定的评价技巧和公平、公正地对教师授课与学生的学习情况进行反馈。然而，在教学实践中，线上线下混合式教学模式开展的过程还不能将线上线下混合式课堂教学与教学质量评价管理有机结合，还需建立满足学生个性化学习与多元化评价体系，全面提升教师线上线下混合式教学水平与能力。     

过程性评价在信息教学中的实践探索

新一轮课程改革倡导"立足过程,促进发展"的课程评价理念,要求教师在教学中将评价过程融入教学过程,关注学生的学习过程,从而全面地评价学生,促进学生综合素质的发展。然而,与以评价学生学习结果的终结性评价相比,过程性评     

基于混合式教学的高职英语评价方式研究

混合式教学模式将现代化技术与传统教学相融合,将两者优点发挥得淋漓尽致,最主要的原因就是利用现代化信息技术激发传统教学的新活力,推动教育的新发展。高职英语线上线下混合式教学的出现提升学习效率,提高教学质量,其量化表达方式为基于混合式教学的高职英语评价方式,这种评价将线上量化与线下量化进行完美融合,不仅关注学生的学习结果(终结性评价),更能动态追踪学生的学习过程(过程性评价),对其进行记录和量化,使高职英语教学评价更客观、更全面、更科学,真正发挥"评价指挥棒"的作用,以评促教、以评促学。     

以形成性评价提高专业选修课成效浅议

本文指出学生对专业选修课的学习没有动力和热情,成效不佳,而形成性评价具有反馈及时性、评价目标动态性、评价主体多元化、内容全方位、着眼于每个学生发展的特点,更能激发学生学习兴趣、自主性和责任感,增进师生、生生间的沟通合作,提高教师热情和业务水平等,可以有效提高专业选修课的成效.     

信息技术课堂过程性评价实践方法

目前,信息技术课存在很多问题,如课堂效率低,目标难以达成;学生兴趣低,缺少主动性;教师难以控制课堂秩序等。造成信息技术课效率低下的原因很多,但最关键的原因是缺少对学习恰当及时的评价反馈,过程性评价一直是信息技术学科的弱项。实现评价发展性功能的一个重要举措就是突出评价的过程性,即在学生的学习、发展的过程中,不断收集反映学生发展过程和结果的资料,建立一个能全面客观地     

Moodle环境下的数学教学

Moodle是由澳大利亚Mar-tinDougiamas博士主持开发的课程管理系统(CMS),作为一个开放的、基于建构主义教育理论而开发的课程管理系统,在各国已有广泛应用.本文从课程环境的时空结构、学习过程的协作与个性化发展、评价方式的多元化应用、课程资源的建设与共享等四个方面,就Moodle在数学教学中的应用进行了深入探讨.     

浅析信息技术课堂多元化评价方式

评价作为信息技术课堂中必不可少的一个环节应为学生的全面发展提供良好的契机。在此,本文浅析了如何以多元智能理论为指导在信息技术课堂中实施表现性评价、档案袋评价、总结性评价等评价方式,将形成性评价与终结性评价相结合多方位对学习效果进行及时评价与反馈,促进学生信息素养的提升和学生能力的全面发展。     

大数据视角下的个性化教育探索

传统教育重视结果而忽略过程,注重事后统计而忽视提前预测分析。文章从大数据角度重新审视个性化教育,论述大数据技术、个性化教育和学习评价的关系,对基于大数据的个性化教育分析目标、内容和关键技术进行初步探索,提出一种基于大数据深度学习技术的多维度学习评价方法,并对其原理、模型、框架进行分析和设计,构建具有反馈优化能力的深度信念网络多维学习评价模型。     

高校教与学多维过程评价体系的建构研究

笔者通过分析高校教学评价的研究现状,构建了一套高校教与学多维过程评价体系。该评价体系将多维评价、过程性评价引入高校教学评价中,能够体现评价主体多元化、评价内容全面化、评价角度多层次化、评价方式多样化和评价反馈及时性,并贯穿于整个教学过程的始终,实现教与学全过程多维度的评价,同时将评价结果实时用于学业预警。笔者构建的高校教与学多维过程评价体系,具有一定的推广价值。     

数字时代的评价工具

进入21世纪,教育评价正在改变传统单一的考试评价方式,朝着多元化、全方位的评价方式转变。因为全面深入地了解学生的成长历程来评价学生的发展,能更好地发展学生的技能,塑造学生成为终身学习者。同时数字时代新工具的使用也让这种转变成为现实。下面介绍五种能帮助教育工作者更有效地观察和诊断学生学习情况的数字化评价工具。     

Learning through computer-based concept mapping with scaffolding aid

Abstract Concept mapping has been applied in a variety of fields, including instruction, learning, curriculum development, and assessment. Because many empirical studies have proven the validity of concept mapping, a computer-based concept mapping system has been developed. The system provides two learning environments. In the 'construct-by-self' environment, the system provides students with the evaluation results and corresponding hints for feedback. The students construct concept maps by themselves with only the assistance of the feedback. In the 'construct-on-scaffold' environment, in addition to the feedback, the students receive an incomplete concept map, within which some nodes and links were set as blanks for the scaffold. A study comparing the effectiveness of the 'construct-by-self', 'construct-on-scaffold', and 'construct by paper-and-pencil' concept mapping showed that the 'construct-on-scaffold' had better effect for learning on biology. Both of the two computer-based procedures are helpful for students in completing their concept maps.     

在线教育平台中个性化学习资源推荐系统设计

为了通过充分挖掘和分析用户的学习行为规律及认知特点,借助互联网和人工智能技术提升个性化教育的深度和广度,设计了一个包含用户画像的个性化学习资源推荐系统.该系统由数据层、数据分析层和推荐计算层构成.数据层由用户数据以及包含知识资料、学习资料和标签集的资源库组成;数据分析层融合了以基础信息、学习行为等为代表的静态数据和动态...     

Developing an assessment-centered e-Learning system for improving student learning effectiveness

This research used Web-based two-tier diagnostic assessment and Web-based dynamic assessment to develop an assessment-centered e-Learning system, named the ‘GPAM-WATA e-Learning system.’ This system consists of two major designs: (1) personalized dynamic assessment, meaning that the system automatically generates dynamic assessment for each learner based on the results of the pre-test of the two-tier diagnostic assessment; (2) personalized e-Learning material adaptive annotation, meaning that the system annotates the e-Learning materials each learner needs to enhance learning based on the results of the pre-test of the two-tier diagnostic assessment and dynamic assessment. This research adopts a quasi-experimental design, applying GPAM-WATA e-Learning system to remedial Mathematics teaching of the ‘Speed’ unit in an elementary school Mathematics course. 107 sixth-graders from four classes in an elementary school participated in this research (55 male and 52 female). With each class as a unit, they were divided into four different e-Learning models: (1) the personalized dynamic assessment and personalized e-Learning material adaptive annotation group (n = 26); (2) the personalized dynamic assessment and non-personalized e-Learning material adaptive annotation group (n = 28); (3) the non-personalized dynamic assessment and personalized e-Learning material adaptive annotation group (n = 26); and (4) the non-personalized dynamic assessment and non-personalized e-Learning material adaptive annotation group (n = 27). Before remedial teaching, all students took the prior knowledge assessment and the pre-test of the summative assessment and two-tier diagnostic assessment. Students then received remedial teaching and completed all teaching activities. After remedial teaching, all students took the post-test of the summative assessment and two-tier diagnostic assessment. It is found that compared to the e-Learning models without personalized dynamic assessment, e-Learning models with personalized dynamic assessment are significantly more effective in facilitating student learning achievement and improvement of misconceptions, especially for students with low-level prior knowledge. This research also finds that personalized e-Learning material adaptive annotation significantly affects the percentage of reading time students spend on the e-Learning materials they need to enhance learning. However, it does not appear to predict student learning achievement and improvement of misconceptions.     

基于MVC的中英BTEC(HND)项目课业评价系统的设计与实现

根据中英合作办学BTEC(HND)项目评价体系与质量体系的要求和特点,采用MVC架构和Ajax、Flex技术开发出了适合该项目的课业评价系统,克服了目前教学过程和管理中出现的种种弊端,如目前的高校教育管理系统不能按照项目评价体系给学生打分,无法制约学生拖欠课业,课业的分类整理不能到位等。该系统极大地提高了中国的BTEC(HND)的教学质量,提升了教学管理水平,填补了合作办学课业评价系统空白,具有很高的推广价值和意义。     

Intelligent tutorial system based on personalized system of instruction to teach or remind mathematical concepts

The growth of the higher education population and different school paths to access an academic degree has increased the heterogeneity of students inside the classroom. Consequently, the effectiveness of traditional teaching methods has reduced. This paper describes the design, development, implementation and evaluation of a tutoring system (TS) to improve student's engagement in higher mathematics. The TS design was based on the Personalized System of Instruction of the Mastery Learning pedagogical approach and can be implemented in any higher education course with mathematics needs. The TS consists on small self‐paced modularized units of educational contents, including tutorial videos, notes and formative e‐assessment with personalized feedback. The TS ensures that the student is only allowed to proceed to the next unit after he or she achieves the required mastery criterion of the current unit. The TS was implemented in the Quantitative Methods course of an undergraduate degree and received good acceptance from students. It was also recognized that TS contributed to learning and engagement with the discipline. Through an experimental research experience, it has been shown that the imposition of restrictions on the advance to the next level by a mastery criterion leads to a significant improvement in student's engagement and performance.     

Conceptualization,development and implementation of a web-based system for automatic evaluation of mathematical expressions

Assessment and feedback are important parts of the teaching and learning of mathematics; and in general, the process can benefit by the introduction of technology. MathDIP is a web-platform which provides automatic evaluation and feedback of each step of the solution of a math problem. The system incorporates a Computer Algebra System to perform the evaluation and a mathematical expression editor which allows the user to interact with the system using his/her own handwriting. This paper reports on the design, development and evaluation of the system. The usability results of its implementation on an Introductory University Mathematics course show good performance in design and functionality issues. Also, results show that in general, the students participating in the study have a high level of acceptance for the system and perceive that its use motivated and strengthened their learning of the specific math topics covered in the course.     

Interactive Correction and Recommendation for Computer Language Learning and Training

Active learning and training is a particularly effective form of education. In various domains, skills are equally important to knowledge. We present an automated learning and skills training system for a database programming environment that promotes procedural knowledge acquisition and skills training. The system provides meaningful knowledge-level feedback such as correction of student solutions and personalized guidance through recommendations. Specifically, we address automated synchronous feedback and recommendations based on personalized performance assessment. At the core of the tutoring system is a pattern-based error classification and correction component that analyzes student input in order to provide immediate feedback and in order to diagnose student weaknesses and suggest further study material. A syntax-driven approach based on grammars and syntax trees provides the solution for a semantic analysis technique. Syntax tree abstractions and comparison techniques based on equivalence rules and pattern matching are specific approaches.     

On-line peer assessment and the role of the peer feedback: A study of high school computer course

The purposes of this study were to explore the effects and the validity of on-line peer assessment in high schools and to analyze effects of various types of peer feedback on students. The participating students, a total of 184 10th graders, developed their individual course projects by involving the on-line peer assessment learning activities in a computer course. The peer assessment activities consisted of three rounds, and each of the students acted as an author and a reviewer. Research data as evaluated from peers and experts indicated that students significantly improved their projects as involving the peer assessment activities. The scores determined by the learning peers were highly correlated with those marked by the experts, indicating that peer assessment in high school could be perceived as a valid assessment method. Moreover, this study also examined the relationships between the types of peer feedbacks in which students obtained from peer assessment and the subsequent performance of their projects. We categorized peer feedbacks into four types: Reinforcing, Didactic, Corrective and Suggestive. It was found that Reinforcing peer feedback was useful in helping students’ development of better projects; however, Didactic feedback and perhaps Corrective feedback provided by peers might play an unfavorable role for subsequent improvement of students’ projects. The Suggestive feedback may be helpful in the beginning of peer assessment activities; however, in the later parts of peer assessment, the effect of this type of feedback on learning might not be significant.     

On-line peer assessment and the role of the peer feedback: A study of high school computer course

The purposes of this study were to explore the effects and the validity of on-line peer assessment in high schools and to analyze effects of various types of peer feedback on students. The participating students, a total of 184 10th graders, developed their individual course projects by involving the on-line peer assessment learning activities in a computer course. The peer assessment activities consisted of three rounds, and each of the students acted as an author and a reviewer. Research data as evaluated from peers and experts indicated that students significantly improved their projects as involving the peer assessment activities. The scores determined by the learning peers were highly correlated with those marked by the experts, indicating that peer assessment in high school could be perceived as a valid assessment method. Moreover, this study also examined the relationships between the types of peer feedbacks in which students obtained from peer assessment and the subsequent performance of their projects. We categorized peer feedbacks into four types: Reinforcing, Didactic, Corrective and Suggestive. It was found that Reinforcing peer feedback was useful in helping students’ development of better projects; however, Didactic feedback and perhaps Corrective feedback provided by peers might play an unfavorable role for subsequent improvement of students’ projects. The Suggestive feedback may be helpful in the beginning of peer assessment activities; however, in the later parts of peer assessment, the effect of this type of feedback on learning might not be significant.     

Developing a context-aware ubiquitous learning system based on a hyper-heuristic approach by taking real-world constraints into account

In a context-aware ubiquitous learning environment, learning systems are aware of students’ locations and learning status in the real world via the use of sensing technologies which provide personalized guidance or support. In such a learning environment that guides students to observe and learn from real-world targets, various physical world constraints need to be taken into account when planning learning paths for individuals. In this study, an optimization problem is formulated by taking the relevance of real-world learning targets and the environmental constraints into account when determining personalized learning paths in the real world to maximize students’ learning efficacy. Moreover, a hyper-heuristic approach is proposed to efficiently find quality learning paths for individual students. To evaluate the performance of the proposed approach, the teachers’ feedback was collected and analyzed based on the learning activities conducted in an elementary school natural science course; in addition, the performances of the proposed algorithm and other approaches were compared based on a set of test data.