Informatics in Education最新文献_第2页

Enhancing Student Performance Prediction via Educational Data Mining on Academic data 基于学术数据的教育数据挖掘增强学生成绩预测

IF 2.7

Informatics in Education Pub Date : 2023-06-22 DOI: 10.15388/infedu.2024.04

Z. Alamgir, Habiba Akram, S. Karim, Aamir Wali

{"title":"Enhancing Student Performance Prediction via Educational Data Mining on Academic data","authors":"Z. Alamgir, Habiba Akram, S. Karim, Aamir Wali","doi":"10.15388/infedu.2024.04","DOIUrl":"https://doi.org/10.15388/infedu.2024.04","url":null,"abstract":"Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on. It answers some crucial and intuitive questions that are not addressed by previous studies. Most of the existing research is conducted on data from 2-3 years in an absolute grading scheme. We examined the effects of historical academic data of 15 years on predictive modeling. Additionally, we explore the performance of undergraduate students in a relative grading scheme and examine the effects of grades in core courses and initial semesters on future performances. As a pilot study, we analyzed the academic performance of Computer Science university students. Many exciting discoveries were made; the duration and size of the historical data play a significant role in predicting future performance, mainly due to changes in curriculum, faculty, society, and evolving trends. Furthermore, predicting grades in advanced courses based on initial pre-requisite courses is challenging in a relative grading scheme, as students’ performance depends not only on their efforts but also on their peers. In short, educational data mining can come to the rescue by uncovering valuable insights from academic data to predict future performance and identify the critical areas that need significant improvement.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"26 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81624307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating Computational Thinking and Data Science: The Case of Modding Classification Games 整合计算思维与数据科学:以建模分类游戏为例

IF 2.7

Informatics in Education Pub Date : 2023-06-04 DOI: 10.15388/infedu.2024.03

M. Grizioti, C. Kynigos

{"title":"Integrating Computational Thinking and Data Science: The Case of Modding Classification Games","authors":"M. Grizioti, C. Kynigos","doi":"10.15388/infedu.2024.03","DOIUrl":"https://doi.org/10.15388/infedu.2024.03","url":null,"abstract":"Even though working with data is as important as coding for understanding and dealing with complex problems across multiple fields, it has received very little attention in the context of Computational Thinking. This paper discusses an approach for bridging the gap between Computational Thinking with Data Science by employing and studying classification as a higher-order thinking process that connects the two. To achieve that, we designed and developed an online constructionist gaming tool called SorBET which integrates coding and database design enabling students to interpret, organize, and analyze data through game play and game design. The paper presents and discusses the results of a pilot study that aimed to investigate the data practices secondary students develop through playing and modifying SorBET games, and to determine the impact of game modding on student critical engagement with CT. According to the results, students developed and used certain data practices such as data interpretation and data model design to become better players or to design an interesting classification game. Moreover, game modding process motivated students to question the original games’ content, leading them to develop a critical stance towards the game data model and representations.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"1995 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82450399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The Effect of Creating 3D Objects with Block Codes on Spatial and Computational Thinking Skills 用块码创建三维物体对空间和计算思维能力的影响

Informatics in Education Pub Date : 2023-05-30 DOI: 10.15388/infedu.2024.02

Mehmet Küçük, Tarık Talan, Muhammet Demirbilek

引用次数: 0

Teaching Computing to Middle and High School Students from a Low Socio-Economic Status Background: A Systematic Literature Review 低社会经济地位背景下的初高中学生计算机教学:系统文献综述

IF 2.7

Informatics in Education Pub Date : 2023-05-24 DOI: 10.15388/infedu.2024.01

Ramon Mayor Martins, Christiane Gresse von Wangenheim

{"title":"Teaching Computing to Middle and High School Students from a Low Socio-Economic Status Background: A Systematic Literature Review","authors":"Ramon Mayor Martins, Christiane Gresse von Wangenheim","doi":"10.15388/infedu.2024.01","DOIUrl":"https://doi.org/10.15388/infedu.2024.01","url":null,"abstract":"Information technology (IT) is transforming the world. Therefore, exposing students to computing at an early age is important. And, although computing is being introduced into schools, students from a low socio-economic status background still do not have such an opportunity. Furthermore, existing computing programs may need to be adjusted in accordance to the specific characteristics of these students in order to help them to achieve the learning goals. Aiming at bringing computing education to all middle and high-school students, we performed a systematic literature review, in order to analyze the content, pedagogy, technology, as well as the main findings of instructional units that teach computing in this context. First results show that these students are able to learn computing, including concepts ranging from algorithms and programming languages to artificial intelligence. Difficulties are mainly linked to the lack of infrastructure and the lack of pre-existing knowledge in using IT as well as creating computing artifacts. Solutions include centralized teaching in assistive centers as well as a stronger emphasis on unplugged strategies. However, there seems to be a lack of more research on teaching computing to students from a low socio-economic status background, unlocking their potential as well to foster their participation in an increasing IT market.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"1 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76182842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IoT Security Risk Management: A Framework and Teaching Approach 物联网安全风险管理:框架与教学方法

IF 2.7

Informatics in Education Pub Date : 2023-04-27 DOI: 10.15388/infedu.2023.30

A. O. Affia, Alexander Nolte, Raimundas Matulevičius

{"title":"IoT Security Risk Management: A Framework and Teaching Approach","authors":"A. O. Affia, Alexander Nolte, Raimundas Matulevičius","doi":"10.15388/infedu.2023.30","DOIUrl":"https://doi.org/10.15388/infedu.2023.30","url":null,"abstract":"While Internet of Things (IoT) devices have increased in popularity and usage, their users have become more susceptible to cyber-attacks, thus emphasizing the need to manage the resulting security risks. However, existing works reveal research gaps in IoT security risk management frameworks where the IoT architecture – building blocks of the system – are not adequately considered for analysis. Also, security risk management includes complex tasks requiring appropriate training and teaching methods to be applied effectively. To address these points, we first proposed a security risk management framework that captures the IoT architecture perspective as an input to further security risk management activities. We then proposed a hackathon learning model as a practical approach to teach hackathon participants to apply the IoT security risk management framework. To evaluate the benefits of the framework and the hackathon learning model, we conducted an action research study that integrated the hackathon learning model into a cybersecurity course, where students learn how to apply the framework. Our findings show that the IoT-ARM framework was beneficial in guiding students towards IoT security risk management and producing repeatable outcomes. Additionally, the study demonstrated the applicability of the hackathon model and its interventions in supporting the learning of IoT security risk management and applying the proposed framework to real-world scenarios.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"91 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75006059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Mapping the Evolution of Computational Thinking in Education: A Bibliometrics Analysis of Scopus Database from 1987 to 2023 映射计算思维在教育中的演变:1987 - 2023年Scopus数据库的文献计量学分析

IF 2.7

Informatics in Education Pub Date : 2023-04-19 DOI: 10.15388/infedu.2023.29

A. Rafiq, M. Triyono, I. W. Djatmiko, Ratna Wardani, T. Köhler

{"title":"Mapping the Evolution of Computational Thinking in Education: A Bibliometrics Analysis of Scopus Database from 1987 to 2023","authors":"A. Rafiq, M. Triyono, I. W. Djatmiko, Ratna Wardani, T. Köhler","doi":"10.15388/infedu.2023.29","DOIUrl":"https://doi.org/10.15388/infedu.2023.29","url":null,"abstract":"In today's world, the ability to think computationally is essential. The skillset expected of a computer scientist is no longer solely based on the old stereotype but also a crucial skill for adapting to the future. This perspective presents a new educational challenge for society. Everyone must have a positive attitude toward understanding and using these skills daily. One thousand two hundred seven documents about computational thinking (CT) may be found while searching the Scopus database from 1987 to 2023. Data from Scopus were analyzed using VOSviewer software. This study educates academics by delving into the fundamentals of what is known about the CT of visual and quantitative research skills. This approach allows for a more in-depth look at the literature and a better understanding of the research gap in CT. This bibliometrics analysis demonstrates that (1) research on CT is common to all sciences and will develop in the future; (2) the majority of articles on CT are published in journals in the fields of education, engineering, science and technology, computing and the social sciences; (3) the United States is the most dominant country in CT publications with a variety of collaborations; (4) keywords that often appear are CT, engineering, education, and mathematics, and (5) research on CT has developed significantly since 2013. Our investigation reveals the beginnings and progression of the academic field of research into CT. Furthermore, it offers a road map indicating how this study area will expand in the coming years.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"12 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72759561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training 以职业教育与培训为重点的数据科学与机器学习教学实践

IF 2.7

Informatics in Education Pub Date : 2023-04-19 DOI: 10.15388/infedu.2023.28

G. Nadzinski, B. Gerazov, Stefan Zlatinov, Tomislav Kartalov, Marija Markovska Dimitrovska, H. Gjoreski, Risto Chavdarov, Z. Kokolanski, Igor Atanasov, Jelena Horstmann, Uros Sterle, M. Gams

{"title":"Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training","authors":"G. Nadzinski, B. Gerazov, Stefan Zlatinov, Tomislav Kartalov, Marija Markovska Dimitrovska, H. Gjoreski, Risto Chavdarov, Z. Kokolanski, Igor Atanasov, Jelena Horstmann, Uros Sterle, M. Gams","doi":"10.15388/infedu.2023.28","DOIUrl":"https://doi.org/10.15388/infedu.2023.28","url":null,"abstract":"With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills must be taught to students at all levels in an efficient and up-to-date manner. This paper gives an overview of the current state of data science and machine learning education globally and both at the high school and university levels, while outlining some illustrative and positive examples. Special focus is given to vocational education and training (VET), where the teaching of these skills is at its very beginning. Also presented and analysed are survey results concerning VET students in Slovenia, Serbia, and North Macedonia, and their knowledge, interests, and prerequisites regarding data science and machine learning. These results confirm the need for development of efficient and accessible curricula and courses on these subjects in vocational schools.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"10 3 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83614063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

To Schedule or not to Schedule: The Effects of Course Structure on Programming MOOC Performance 安排或不安排:课程结构对编程MOOC性能的影响

IF 2.7

Informatics in Education Pub Date : 2023-04-17 DOI: 10.15388/infedu.2023.27

E. Kaila, Kjell Lemström

{"title":"To Schedule or not to Schedule: The Effects of Course Structure on Programming MOOC Performance","authors":"E. Kaila, Kjell Lemström","doi":"10.15388/infedu.2023.27","DOIUrl":"https://doi.org/10.15388/infedu.2023.27","url":null,"abstract":"Massive Open Online Courses (MOOCs) have become hugely popular recently. MOOCs can offer high-quality education for anyone interested and equalize the whole education field. Still, there are different methodologies for running MOOCs. Coming up with the most suitable methodology benefits both students and teachers. In this study, we have limited the methodological focus to observing scheduled and unscheduled instances of similar MOOC courses. While unscheduled MOOC courses can provide flexibility, they also require self-regulated learning strategies for students to succeed. To observe this, we compare the effectiveness of scheduled and unscheduled programming MOOC courses to find the most effective methodology. For this, we compare the pass rates and grade averages of five instances (two unscheduled and three scheduled) of Python and Java programming MOOCs. The results show that while the attendance numbers are higher in the unscheduled versions, in the scheduled instances the pass rate is significantly better, and students’ progression is much swifter. It also seems that the higher proportion of university students enrolled in a MOOC course positively affects the retention rate. Moreover, the students in the recent unscheduled Python version seem to score significantly higher grades than in its scheduled counterpart. Based on our experiments, the scheduled and unscheduled versions complement each other. Hence, we suggest that, whenever feasible, the maximal benefits would be gained if both types of MOOCs are run simultaneously.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"29 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85727930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CS1: Intrinsic Motivation, Self-Efficacy, and Effort CS1:内在动机、自我效能和努力

IF 2.7

Informatics in Education Pub Date : 2023-04-17 DOI: 10.15388/infedu.2023.26

Antti-Jussi Lakanen, Ville Isomöttönen

{"title":"CS1: Intrinsic Motivation, Self-Efficacy, and Effort","authors":"Antti-Jussi Lakanen, Ville Isomöttönen","doi":"10.15388/infedu.2023.26","DOIUrl":"https://doi.org/10.15388/infedu.2023.26","url":null,"abstract":"This research investigates university students’ success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in line with the statistical model that predicts student performance (“PreSS”) (Quille and Bergin, 2018). The constructs are compared with various demographic and background variables, such as study major, prior programming experience, and average weekly working hours. Some of the main results of this study are as follows: (1) students generally entered with a high interest in programming and high motivation, but these factors did not increase during the course, i.e., interest in programming did not increase. (2) Having prior experience yielded higher initial programming self-efficacy, grade expectations, and spending less time on tasks, but not better grades (although worse neither). While these results can be seen as preliminary (and alarming in some parts), they give rise to future research for investigating possible expectation–performance gaps in CS1 and later CS studies. As our dataset accumulates, we also hope to be able to construct a valid success prediction model.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"22 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82769708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bioinformatics as a Means to Attract Women to Computer Science 生物信息学是吸引女性进入计算机科学的一种手段

IF 2.7

Informatics in Education Pub Date : 2023-02-15 DOI: 10.15388/infedu.2023.25

Sarah Genut, Y. Kolikant

引用次数: 0