Process Mining and Learners' Behavior Analytics in a Collaborative and Web-Based Multi-Tabletop Environment

Porouhan, Parham; Premchaiswadi, Wichian

doi:10.4018/ijopcd.2017070103

Cited by 22 publications

(7 citation statements)

References 31 publications

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“…Digital mobile devices such as tablets, PDAs, and smart phones are also being used increasingly often for educational purposes. Process Mining and Learner Behavior Analytics 38 have been used in a Collaborative and Web-Based MultiTabletop Environment. • Make more free EPM datasets public in order to test theoretical models and assumptions by methods of PM.…”

Section: Discussionmentioning

confidence: 99%

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A survey on educational process mining

Bogarín

Cerezo

Romero

2017

WIREs Data Min & Knowl

162

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Educational process mining (EPM) is an emerging field in educational data mining (EDM) aiming to make unexpressed knowledge explicit and to facilitate better understanding of the educational process. EPM uses log data gathered specifically from educational environments in order to discover, analyze, and provide a visual representation of the complete educational process. This paper introduces EPM and elaborates on some of the potential of this technology in the educational domain. It also describes some other relevant, related areas such as intentional mining, sequential pattern mining and graph mining. It highlights the components of an EPM framework and it describes the different challenges when handling event logs and other generic issues. It describes the data, tools, techniques and models used in EPM. In addition, the main work in this area is described and grouped by educational application domains.

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Section: Discussionmentioning

confidence: 99%

“…Porouhan and Premchaiswadi 38 To gain a better understanding of the underlying educational process Southavilay et al 39 To gain a better understanding of the underlying educational process and detect learning difficulties…”

Section: Professional Trainingmentioning

confidence: 99%

A survey on educational process mining

Bogarín

Cerezo

Romero

2017

WIREs Data Min & Knowl

162

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“…Disco is a process mining technology that runs based on fuzzy miner algorithm [34][35][36][37][38][39] and can automate process discovery, create appealing process diagrams, intelligently automate the processing of raw data, and filter processes from activities or the process path fast regardless of the large or complicated process. It can also display the discovered processes with a bird-eye view and detailed statistical data that can delve into detailed information on individual activities, resources, and data that can be imported into complex CSV and MS Excel files.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The purposive sampling method was used on a sample of online learners who used the e-learning system of Thonburi University for a course (202111 Applied Business Programing) in the first semester (126 students) of the 2021 academic year, from May 28 to October 31, 2021, and in the second semester (121 students) of the 2021 academic year, from November 4, 2021, to April 10, 2022. Thus, the final sample was 247 students [34][35][36][37][38][39].…”

Section: A Populationmentioning

confidence: 99%

Creating and Collecting e-Learning Event Logs to Analyze Learning Behavior of Students through Process Mining

Nammakhunt¹,

Porouhan²,

Premchaiswadi³

2023

IJIET

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Many traditional educational management models are being switched or shifted into online platforms; thus, assessing behavioral aspects of learners is essential to improving the quality of online teaching and learning processes. Currently, a problem in managing online teaching of courses is that instructors do not have the appropriate tools and techniques to be fully aware of students’ behavioral patterns in a data-driven and process-aware approach. This study is divided into three main parts. In the first part, a dataset of online students is transformed and preprocessed. In the second part, the Fuzzy Miner algorithm supported by Fluxicon Disco is applied to the dataset to understand the learning process of the students in terms of the duration and length of the tutorial videos watched online (i.e., fully watched, partially watched, paused, and resumed intervals) and in terms of the frequencies of all activities. In the third part, a comparison between behavioral patterns of high-performance group of students versus their low-performance counterparts attending the same course was conducted, and we used the Dotted Chart Analysis technique supported by ProM to conduct and make the comparisons. The results of the study showed significant differences between the two groups in terms of the duration spent on the tutorial videos and in terms of the sequence and order of the activities performed and executed. The findings of the research can be used by instructors, administrators, and educational managers to improve the course curriculum management process or to boost effective coaching and teaching styles, leading to the optimization of students’ learning process by increasing educators’ awareness about students’ weaknesses and strengths.

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“…En este estudio detectan y comparan patrones de interacción e implicación entre grupos de estudiantes con resultados bajos y altos. Finalmente, en (Porouhan & Premchaiswadi, 2017) realizan una medición para identificar los indicadores más significativos que afectan a un proceso de aprendizaje colaborativo. Aplican diversas técnicas de Process Mining con el propósito de incrementar el conocimiento del profesor sobre las dinámicas colaborativas en cada grupo de estudiantes.…”

Section: B Process Miningunclassified

Evaluación de competencias en Serious games mediante analítica de aprendizaje con Process Mining

Hernández¹,

Palomo-Duarte²,

Beardo³

et al. 2019

Aprendizaje, Innovación Y Cooperación Como Impulsores Del Cambio Metodológico

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Resumen-Los serious games o videojuegos educativos son videojuegos con propósitos de aprendizaje. Los jugadores realizan múltiples interacciones para aplicar las competencias desarrolladas. Información relevante sobre estas interacciones puede ser registrada como secuencias de eventos. Desafortunadamente, la evaluación en serious games es un procedimiento más complejo que el de otros instrumentos e-Learning debido a una serie de factores y particularidades, como el contexto del videojuego o su género. Además, los métodos de evaluación manuales presentan limitaciones para llevar a cabo un análisis detallado de grandes conjuntos de datos. La Minería de procesos (Process Mining) es un conjunto de técnicas de Análisis de Secuencias que permite extraer conocimiento de registros de eventos de manera automática. En esta publicación, proponemos aplicar técnicas de Process Mining para evaluar las interacciones realizadas dentro de un serious game. En el juego propuesto se trabajan competencias desarrolladas en la asignatura de Bases de Datos del Grado en Ingeniería Informática. Las interacciones del jugador son almacenadas en un registro de eventos el cual es usado por las técnicas de Process Mining para descubrir modelos. Finalmente, mostramos el análisis de los resultados obtenidos sobre el comportamiento de los jugadores, que muestra evidencias de diversas competencias del jugador. Palabras clave: Videojuegos educativos; Aprendizaje basado en juegos; Evaluación de competencias; Minería de procesos; Descubrimiento de modelosAbstract-Serious games or educational games are video games with educational purposes. Players carry out multiple interactions to apply the developed skills. Relevant information about these interactions can be registered as sequences of events. Unfortunately, assessment in serious games is a more complex process than in others e-Learning tools due to a set of features and particularities, like game context or genre. In addition, manual assessment methods present limitations to carry out a detailed analysis of large data sets. Process Mining is a set of techniques of Sequence Analysis to automatically extract knowledge from event logs. In this paper, we propose to apply Process Mining techniques to assess players' interactions made in a serious game. In this game, players apply skills related to a DataBase course including in a Computer Engineering Degree. These interactions are stored in an event log used by Process Mining techniques to model discovery. Finally, we present obtained results about that provide evidence on player behaviour on different skills.

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Process Mining and Learners' Behavior Analytics in a Collaborative and Web-Based Multi-Tabletop Environment

Cited by 22 publications

References 31 publications

A survey on educational process mining

A survey on educational process mining

Creating and Collecting e-Learning Event Logs to Analyze Learning Behavior of Students through Process Mining

Evaluación de competencias en Serious games mediante analítica de aprendizaje con Process Mining

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