標(biāo)題: Titlebook: Educational Data Mining; Applications and Tre Alejandro Pe?a-Ayala Book 2014 Springer International Publishing Switzerland 2014 Computation [打印本頁(yè)] 作者: 有判斷力 時(shí)間: 2025-3-21 16:26
書目名稱Educational Data Mining影響因子(影響力)
書目名稱Educational Data Mining影響因子(影響力)學(xué)科排名
書目名稱Educational Data Mining網(wǎng)絡(luò)公開度
書目名稱Educational Data Mining網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Educational Data Mining被引頻次
書目名稱Educational Data Mining被引頻次學(xué)科排名
書目名稱Educational Data Mining年度引用
書目名稱Educational Data Mining年度引用學(xué)科排名
書目名稱Educational Data Mining讀者反饋
書目名稱Educational Data Mining讀者反饋學(xué)科排名
作者: engrossed 時(shí)間: 2025-3-21 20:35 作者: 詞匯表 時(shí)間: 2025-3-22 04:23
https://doi.org/10.1007/978-3-8349-3851-0s and assist the labor of public institutions. Specifically, we highlight the current educational reforms in Mexico and focus on one of its main goals: to enhance the education quality. In response, a valuable data source is mined to discover interesting findings what students think about education,作者: 開始沒有 時(shí)間: 2025-3-22 05:16 作者: prosthesis 時(shí)間: 2025-3-22 11:59
Die wichtigsten Kennzahlenbereiche,s discussion, etc. On the other hand, individual behavior and personality play a major role in Intelligent Tutoring Systems (ITS) and Educational Data Mining (EDM). Thus, to develop a user adaptable system, the student’s behaviors that occurring during interaction has huge impact EDM and ITS. In thi作者: Odyssey 時(shí)間: 2025-3-22 15:53
https://doi.org/10.1007/978-3-8349-8279-7better adjust the educational materials and strategies throughout the learning process. In this chapter, a multi-channel decision fusion approach, based on using the performance in “assignment categories”, such as homework assignments, is introduced to determine the overall performance of a student.作者: Odyssey 時(shí)間: 2025-3-22 19:29
,Controlling in ?ffentlichen Verwaltungen,owing area of research and is especially useful in distance learning where tutors and students do not meet face to face. The methods discussed will include decision-tree classification, support vector machine (SVM), general unary hypotheses automaton (GUHA), Bayesian networks, and linear and logisti作者: 自戀 時(shí)間: 2025-3-22 23:56
Controller — Stabs- oder Linienfunktion?ments were recorded by an eye-tracker and their answers to questions were collected via an online assessment tool. Online tests were administered to the students and computer interface was divided into two equal parts, which includes web browser and image processing software. Questions were asked th作者: negotiable 時(shí)間: 2025-3-23 05:24 作者: Incise 時(shí)間: 2025-3-23 08:56
Fallstudien zum Controlling im Einkauf,devoting little time to analyse factual data about both students and test items. As a practical solution to this common issue, we propose an approach to automatic test generation that acknowledges required areas of competence and matches the overall competence level of target students. The proposed 作者: 知識(shí) 時(shí)間: 2025-3-23 13:14
Entscheiden im Gesundheitsbetrieb,ning them and analyzing the results (Amershi and Conati, Intelligent tutoring systems. LNCS. Springer, Heidelberg, 463–472, 2006); Chen (Instr Sci, 23(1–3):183–220, 1995); (Cocea et al., 2008). ELEs are generally used in classes too large for teachers to monitor all students and provide assistance w作者: 謙卑 時(shí)間: 2025-3-23 17:24 作者: 最低點(diǎn) 時(shí)間: 2025-3-23 20:48
Synthese von Theorie und Empirie,oductions and for supporting teachers in several ways. . offers three main functionalities in terms of text analysis: cohesion-based assessment, reading strategies identification and textual complexity evaluation. All of these have been subject to empirical validations. . may be used throughout an e作者: 預(yù)知 時(shí)間: 2025-3-24 01:40 作者: Abjure 時(shí)間: 2025-3-24 05:15 作者: 才能 時(shí)間: 2025-3-24 08:52
https://doi.org/10.1007/978-3-319-02738-8Computational Intelligence; Data Mining; EDM Applications; EDM Methods; EDM Models; EDM Tasks; Educational作者: cipher 時(shí)間: 2025-3-24 12:06 作者: nonsensical 時(shí)間: 2025-3-24 17:11
Educational Data Mining978-3-319-02738-8Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Grating 時(shí)間: 2025-3-24 19:08
Alejandro Pe?a-AyalaProvides an updated view of the application of Data Mining to the educational arena.Copes two key targets: applications and trends.Focuses on the Data Mining logistics: models, tasks, methods, algorit作者: 單色 時(shí)間: 2025-3-25 02:16 作者: jagged 時(shí)間: 2025-3-25 06:46
1860-949X and mouse click..·???? .Assessment.: The third part has four chapters related to: 9) analyze the coherence of student research proposals; 10) automatically generate tests based on competences; 11) recognize stu978-3-319-34499-7978-3-319-02738-8Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 伴隨而來 時(shí)間: 2025-3-25 07:51 作者: 解開 時(shí)間: 2025-3-25 12:10
How Educational Data Mining Empowers State Policies to Reform Education: The Mexican Case Studyudents, as well as some initiatives to deal with the findings. The work concludes with an exposition of the reasons for presenting this kind of work, a comment on the research fulfilled, a viewpoint of the education in Mexico, and some suggestions to support State polices to enhance education.作者: Instrumental 時(shí)間: 2025-3-25 17:01
Predicting Learner Answers Correctness Through Eye Movements with Random Forest visual elements like graphics. Total fixation duration, number of mouse clicks, fixation count and visit duration were found being the most important eye metrics that predict answers in reasoning questions. Results also showed that changing the presentation modality of a question causes changes in 作者: interlude 時(shí)間: 2025-3-25 22:34
Plan Recognition and Visualization in Exploratory Learning Environmentsisualization methods for presenting these activities to teachers. Our empirical analysis is based on an ELE for teaching chemistry that is used by thousands of students in colleges and high schools in several countries (Yaron et al., Science, 328(5978), 584–585, 2010).作者: Mercantile 時(shí)間: 2025-3-26 03:53 作者: 自作多情 時(shí)間: 2025-3-26 06:41
https://doi.org/10.1007/978-3-8349-3851-0udents, as well as some initiatives to deal with the findings. The work concludes with an exposition of the reasons for presenting this kind of work, a comment on the research fulfilled, a viewpoint of the education in Mexico, and some suggestions to support State polices to enhance education.作者: prosperity 時(shí)間: 2025-3-26 08:59 作者: 溫和女人 時(shí)間: 2025-3-26 16:34
Entscheiden im Gesundheitsbetrieb,isualization methods for presenting these activities to teachers. Our empirical analysis is based on an ELE for teaching chemistry that is used by thousands of students in colleges and high schools in several countries (Yaron et al., Science, 328(5978), 584–585, 2010).作者: liaison 時(shí)間: 2025-3-26 17:13
Book 2014it from tutor support; 8) hypothesize the student answer correctness based on eye metrics and mouse click..·???? .Assessment.: The third part has four chapters related to: 9) analyze the coherence of student research proposals; 10) automatically generate tests based on competences; 11) recognize stu作者: heterogeneous 時(shí)間: 2025-3-26 22:47
Mining Texts, Learner Productions and Strategies with ,ntire educational scenario, starting from the initial complexity assessment of the reading materials, the assignment of texts to learners, the detection of reading strategies reflected in one’s self-explanations, and comprehension evaluation fostering learner’s self-regulation process.作者: 遺忘 時(shí)間: 2025-3-27 01:14
Book 2014ape trends and inspire future research. After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows:.·???? .Profile.: The first part embraces three chapters oriented to: 1) describe the nature of educational data mining (EDM); 2) describe how to pre-p作者: athlete’s-foot 時(shí)間: 2025-3-27 06:50 作者: Conflagration 時(shí)間: 2025-3-27 09:47
https://doi.org/10.1007/978-3-322-93464-2 the needs of a higher education institution. This model (Guruler et al., Comput Educ 55(1):247–254) aims to help educational organizations to better understand the KDPs, and provides a roadmap to follow while executing whole knowledge projects, which are nontrivial, involve multiple stages, possibly several iterations.作者: Lucubrate 時(shí)間: 2025-3-27 17:26 作者: 愚蠢人 時(shí)間: 2025-3-27 20:04
https://doi.org/10.1007/978-3-8349-8279-7nt categories” is learned, and is used to predict the overall performance. The main advantage of the proposed approach is in its capability to estimate students’ performance after a few assignments. Consequently, it can help the instructors better manage their class and adjust educational materials to prevent underachievement.作者: insomnia 時(shí)間: 2025-3-27 23:08 作者: NUDGE 時(shí)間: 2025-3-28 03:37 作者: 聾子 時(shí)間: 2025-3-28 10:20 作者: Tincture 時(shí)間: 2025-3-28 13:20 作者: 得罪 時(shí)間: 2025-3-28 18:25
Wolfgang Hossenfelder,Frank Schreyerdated using three approaches, two quantitative and one qualitative. While useful to individual instructors and administrators, it is only through data mining that student perceptions of teaching can be analyzed en masse to inform and influence the educational process.作者: judicial 時(shí)間: 2025-3-28 19:22 作者: Irremediable 時(shí)間: 2025-3-29 02:05
A Survey on Pre-Processing Educational Datae pre-processing of educational data, Moodle data being mainly used in the examples. Next, it describes some general and specific pre-processing tools and finally, some conclusions and future research lines are outlined.作者: PARA 時(shí)間: 2025-3-29 06:34 作者: 扔掉掐死你 時(shí)間: 2025-3-29 10:52
Using Data Mining Techniques to Detect the Personality of Players in an Educational Gamepply this framework, input excerpts must be classified into one of six possible personality classes. We applied this personality classification method using machine learning algorithms, such as: Naive Bayes, Support Vector Machine (SVM) and Decision Tree.作者: 痛打 時(shí)間: 2025-3-29 13:06 作者: interpose 時(shí)間: 2025-3-29 15:51 作者: Halfhearted 時(shí)間: 2025-3-29 21:30 作者: 粗俗人 時(shí)間: 2025-3-30 01:33
Adaptive Testing in Programming Courses Based on Educational Data Mining Techniquesd to guide the test creation process. Besides a genetic algorithm that selects a test most suitable to the aforementioned criteria, we present a concept map of programming competencies and a method of estimating the test item difficulty.作者: 殘忍 時(shí)間: 2025-3-30 06:06 作者: 大漩渦 時(shí)間: 2025-3-30 09:53
Maximizing the Value of Student Ratings Through Data Miningdated using three approaches, two quantitative and one qualitative. While useful to individual instructors and administrators, it is only through data mining that student perceptions of teaching can be analyzed en masse to inform and influence the educational process.作者: finite 時(shí)間: 2025-3-30 13:34 作者: Compassionate 時(shí)間: 2025-3-30 17:21 作者: 放氣 時(shí)間: 2025-3-30 21:15 作者: 神圣在玷污 時(shí)間: 2025-3-31 02:07
Which Contribution Does EDM Provide to Computer-Based Learning Environments?ystems in order to respond to the educational questions and problems, and also to discover the information hidden after this data. Over the last few years, the popularity of this field enhanced a large number of research studies that is difficult to surround and to identify the contribution of data
