Hiroaki Ogata

Hiroaki Ogata
Kyoto University | Kyodai · Academic Center for Computing and Media Studies

Doctor (Engineering)
Working on educational data science and learning analytics in K12 schools and universities in several countries.

About

454
Publications
86,760
Reads
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5,541
Citations
Introduction
Hiroaki Ogata is a full Professor at Learning and Educational Technologies Research Unit, the Academic Center for Computing and Media Studies in Kyoto University, Japan. My research interests include Learning Analytics, Evidence-Based Education, Educational data mining, Educational Data Science, Computer Supported Ubiquitous and Mobile Learning, and CSCL.
Additional affiliations
April 2017 - present
Kyoto University
Position
  • Professor
October 2013 - March 2017
Kyushu University
Position
  • Professor (Full)
January 1999 - September 2013
The University of Tokushima
Position
  • Professor (Associate)

Publications

Publications (454)
Article
Full-text available
With COVID-19 pandemic forcing academic institutions to shift to emergency remote teaching (ERT), teachers worldwide are attempting several strategies to engage their learners. Even though existing research in online learning suggests that effectiveness of the online session is more dependent on pedagogical design rather than technology feature, te...
Article
In-class group work activities are found to promote the interpersonal skills of learners. To support the teachers in facilitating such activities, we designed a learning analytics-enhanced technology framework, Group Learning Orchestration Based on Evidence (GLOBE) using data-driven approaches. In this study, we implemented the algorithmic group fo...
Article
Full-text available
The application of student interaction data is a promising field for blended learning (BL), which combines conventional face-to-face and online learning activities. However, the application of online learning technologies in BL settings is particularly challenging for students with lower self-regulatory abilities. In this study, a personalized lear...
Article
Full-text available
Digitized learning materials are a core part of modern education, and analysis of the use can offer insight into the learning behavior of high and low performing students. The topic of predicting student characteristics has gained a lot of attention in recent years, with applications ranging from affect to performance and at-risk student prediction...
Article
Full-text available
Language learners’ engagement with a specific task is crucial to improving their academic achievement. To enhance student engagement and academic achievement in language learning, personalized language learning (PLL) can be employed to consider individual learning needs. Personalized review learning has emerged to facilitate PLL as a promising mean...
Poster
Full-text available
Assessments evaluate students’ understanding of taught concepts. While students may be assessed on various concepts and in different learning environments, learning institutions often fail to provide students with a way to connect their learning and assessment results beyond a single institution. This results in problems such as the inability to un...
Article
Self-directed learning (SDL) requires students to take initiative to learn and control their own learning process. Literature highlights the importance of SDL for lifelong learning. Yet, little understanding is known regarding how to support SDL at the school level, specifically for out-of-class learning context. To fill up this gap, this research...
Chapter
Little research has addressed how systems can use the learning process of self-explanation to provide scaffolding or feedback. Here, we propose a model automatically generating sample self-explanations with knowledge components required to solve a math quiz. The proposed model contains three steps: vectorization, clustering, and extraction. In an e...
Conference Paper
Full-text available
In the context of K-12 math education, identifying the quizzes of the appropriate difficulty is essential to improve the students' understanding of math concepts. In this work, we propose a quiz recommender system which not only considers the difficulty of the quiz but also the expected learning outcome of solving that quiz. To increase the student...
Conference Paper
Full-text available
Previous studies have shown that e-book interaction logs can predict students at-risk of academic failure-students whose academic performance is low. However, in the context of an individualized e-learning system, it is very important to predict personality traits to realize the well optimized and suited assist, intervention and feedback based on p...
Conference Paper
Full-text available
Explainable recommendations, which provide explanations about why an item is recommended, help to improve the transparency, persuasiveness, and trustworthiness. However, few research in educational technology utilize explainable recommendations. We developed an explanation generator using the parameters from Bayesian knowledge tracing models. We us...
Conference Paper
Full-text available
Self-directed learning (SDL) is an important skill in the 21st century, while the understanding of its process in behavior has not been well explored. Analysis of the sequential behavior patterns in SDL and the relations with students’ academic performance could help to advance our understanding of SDL in theory and practice. In this study, we mine...
Article
Full-text available
While data privacy is a key aspect of Learning Analytics, it often creates difficulty when promoting research into underexplored contexts as it limits data sharing. To overcome this problem, the generation of synthetic data has been proposed and discussed within the LA community. However, there has been little work that has explored the use of synt...
Article
Full-text available
Previous studies have found that the frequency and the regularity of taking the self-assessment are positively correlated with learning performance. However, as artificial intelligence is widely used for self-assessment in various educational contexts, numerous behaviors have been identified, including nonstandard behaviors that can negatively impa...
Article
Recent spread of the COVID-19 forces governments around the world to temporarily close educational institutions. In this paper, we evaluated learning engagement, level of satisfaction and anxiety of e-book based remote teaching strategy on an online learning platform. The research involves 358 students at an urban junior-high school in Japan. Learn...
Article
Full-text available
The use of blockchain in education has become one of the trending topics in education technology research. However, only a handful of education blockchain solutions have provided a measure of the impact on students' learning outcomes, teaching, or administrative processes. This work reviews how academic data stored on the blockchain is being visual...
Article
Full-text available
The advent of blockchain technology over the last decade has led to the development of multiple use-cases of decentralization in various fields including education. This paper presents a unique bibliometric and qualitative analysis of the blockchain in education with novel contributions on temporal development, emerging themes and practical case st...
Article
Full-text available
Collaborative learning in the form of group work is becoming increasingly significant in education since interpersonal skills count in modern society. However, teachers often get overwhelmed by the logistics involved in conducting any group work. Valid support for executing and managing such activities in a timely and informed manner becomes impera...
Article
Full-text available
Self-direction skill is considered a vital skill for twenty-first-century learners in both the learning context and physical activity context. Analysis skill for self-directed activities requires the students to analyze their own activity data for understanding their status in that activity. It is an important phase that determines whether an appro...
Conference Paper
Full-text available
Open book exams (OBE) have been a mandated part of each course structure at some universities. Also during the COVID19 emergency remote teaching situation, OBE would be an option for many instructors over a proctored examination. In this study we investigate a Critical Analysis of Literature and Cinema course which had offered open book exam compon...
Conference Paper
Full-text available
Explainable artificial intelligence has been gaining much attention as systems increasingly make high-stakes recommendation and decisions automatically in a wide range of fields, including education. Meanwhile, research into self-explanation by students as a beneficial intervention to promote metacognitive skills has a long history of research. In...
Preprint
Full-text available
Learners often change their learning environment over the course of their education. This makes it difficult to measure their engagement across different contexts due to a lack of seamless connection and shared analytics across heterogenous learning systems. Previous research has shown that access to prior engagement information of learners can be...
Conference Paper
Full-text available
Knowledge tracing is the task of modelling each student's mastery of knowledge components by analysing a student's learning activities trajectories. Each student's knowledge state is modelled based on his or her past learning performance and is an important research area in improving personalized education. In recent years, many researches have foc...
Conference Paper
Full-text available
During the process of learning, students face challenging quizzes that require various knowledge and skills, which results in stuck points. Identifying concepts that cause these stuck points can help identify potential areas of remedial study to overcome the students' difficulties. To achieve the goal of generating a model to identify students' stu...
Conference Paper
Full-text available
Explainable recommendations, which provides explanations about why an item is recommended, helps to improve the transparency, persuasiveness, and trustworthiness. However, there are few research in educational technology that utilize explainable recommendation. Previous research has identified that learner motivation can deteriorate while using edu...
Conference Paper
Full-text available
Learning Analytics (LA) is an emergent field which aims at a better understanding of students and providing intelligence to learners, teachers, and administrators using learning log data. Although the use of technology in class is increasing in the K-12 sector as well as territory education, cases of effective implementation of LA in secondary scho...
Conference Paper
Full-text available
When students change school, they are unable to take their learning records with them to the new school except for certificates and/or transcripts. One of the main barriers to connecting and transferring learning records across different institutions is the presence of different learning systems and the inability to ensure privacy and trust among d...
Conference Paper
Full-text available
Nowadays, using tablets in classrooms seems to be mandatory for school teachers in Japan. Therefore, it is important to share the knowledge about digital devices with school teachers who are beginning to familiarize themselves with these devices. In this paper, we introduce a framework for sharing teachers' best practice for effective use of digita...
Article
Background In nursing education, knowledge and competence in conducting physical assessments are crucial. Therefore, physical assessment knowledge has become a fundamental and essential education program for nursing students. However, most of the current nursing courses are taught via a didactic teaching approach, making it difficult for students t...
Article
UNESCO reported that 90% of students are affected in some way by COVID-19 pandemic. Like many countries, Japan too imposed emergency remote teaching and learning at both school and university level. In this study, we focus on a national university in Japan, and investigate how teaching and learning were facilitated during this pandemic period using...
Chapter
Group discussions can be beneficial to keep students engaged during online learning provided that group members form a good match. For instance, the success of the group depends to a great extent on the engagement of its group members. During the COVID-19 pandemic, it became possible to automatically detect engagement using students learning data a...
Chapter
In collaborative learning, peer evaluation plays a substantial role during group work implementation. To scaffold learners to peer evaluate, the design of a digital supportive system is presented in this paper. The system enables students to evaluate peers within their own group as well as other groups’ output with the real-time visualization of fe...
Article
This study investigates learner’s reading behaviors in a critical reading task in humanities course using learning analytics techniques. A Critical Analysis of Literature and Cinema course was selected as a context. The course activities evolved over 10 years, and for this instance, some face-to-face classroom critical reading activities were migra...
Conference Paper
In recent years, machine learning of increasing complexity is being applied to problems in education. However, there is an increasing call for transparency and understanding into how the results of complex models are derived, leading to explainable AI gaining attention. The application of machine learning to automated group formation for collaborat...
Conference Paper
In this paper, we propose an interactive drawing based activity in BookRoll, an e-book-based teaching-learning platform. Participants who were researchers drew an overview of their research as a handwritten memo. We demonstrate the affordances of the learning analytics (LA) enhanced platform to facilitate practice and research of such a drawing act...
Conference Paper
Learning vocabulary is a crucial but challenging activity for English as a foreign language learners, and computer-assisted language learning can facilitate this process. Moreover, e-learning is attracting a great deal of attention as a new technology to bring educational support which traditional learning systems cannot provide. Recommender system...
Chapter
In this paper, an experiment was conducted to study the learning performance when learning new knowledge in groups with an e-book system and a meaningful discovery learning support environment. The participants studied target new knowledge with an e-book in pairs; at first, all the knowledge points that appear in the e-book were displayed and learn...
Article
Full-text available
Personalized or precision education (PE) considers the integration of multimodal technologies to tailor individuals’ learning experiences based on their preferences and needs. To identify the impact that emerging multimodal technologies have on personalized education, we reviewed recent implementations and applications of systems (e.g., MOOCs, seri...
Article
Providing early predictions of academic performance is a necessity in identifying at-risk students and subsequently providing them with timely intervention for critical factors affecting their academic performance. Although e-book systems are often used to provide students with teaching/learning materials in university courses, seldom research has...
Conference Paper
In this paper, an experiment was conducted to study the learning performance when learning new knowledge in groups with an e-book system and a meaningful discovery learning support environment. The participants studied target new knowledge with an e-book in pairs; at first, all the knowledge points that appear in the e-book were displayed and learn...
Article
Full-text available
Self-directed learning (SDL) ability, its usefulness in higher education and life-long learning have been highlighted in previous literature. However, there has been much less understanding of the effects of SDL ability in the school settings, specifically the effects on learners’ SDL behaviors and processes. To address this limitation, this study...
Article
Full-text available
Reviewing learned knowledge is critical in the learning process. Testing the learning content instead of restudying, which is known as the testing effect, has been demonstrated to be an effective review strategy. However, education research recommends that instructors generate practice tests, but this burdens teachers and may also hinder teaching q...
Chapter
Full-text available
The vocabulary taught in language classes or through digital language learning tools is disconnected from the real-life needs of many language learners. Immigrants, refugees, students abroad learn a language to navigate through their daily lives and often need words that are missing from their curricula they study. Today’s language learners rely he...
Article
Full-text available
Learning a new language is a major challenge faced by many forced migrants. Current vocabulary learning curricula are not adapted to the migrants’ needs, which makes the learning process even more challenging. Today, the widespread use of smartphones among forced migrants provides us with new opportunities to collect and recommend the vocabulary th...
Article
Full-text available
Self-directed learning (SDL) ability, its usefulness in higher education, and life-long learning have been highlighted in previous literature. However, understanding the effects of SDL ability in the school settings, specifically how it affects learners' affective and behavioral outcomes, remains missing and calls for further investigation. Given t...
Conference Paper
Full-text available
The effectiveness of extensive reading on various linguistic skills is well understood in learning English as a foreign language. However, although the importance of personalized e-learning systems has been emphasized, few ideal recommender systems have been developed. This study proposes a recommender system of picture-books for extensive reading...
Conference Paper
Full-text available
Evidence-based education has become more and more relevant in the current technology-enhanced teaching-learning era. In evidence-based education, evidence libraries play an important role in practice. In this paper, we propose a novel evidence library REAL (Real-time Evidence Analysis Library), which aims to gather and meta-analyze learning analyti...
Conference Paper
Full-text available
Multi-modal analytics has the potential for understanding learning activities and possibly supporting the process based on the interpretation of the signals captured. However, the integration of multiple data sources remains an issue. While some commercial packages assist researchers to organize the data for their specific study, infrastructure is...
Article
Full-text available
Research has revealed the positive effects of flipped classroom approaches on students’ learning engagement and performance compared with conventional lecture-based classrooms. However, because of a lack of out-of-class learning support, many students fail to comprehensively prepare the provided lecture materials before class. One promising solutio...
Article
Full-text available
This study aims to identify the bibliometric outcomes of articles and research trends in specific areas. This study revealed research on the use of e-books for EFL education published in selected journals of the Web of Science from 2011 to 2020, and discusses the trends of the top-cited countries, journals, the most used keywords, and the popular s...
Preprint
When students change school, they are unable to take their learning records with them to the new school except for certificates and/or transcripts. One of the main barriers to connecting and transferring learning records across different institutions is the presence of different learning systems and the inability to ensure privacy and trust among d...
Article
Full-text available
The inevitable rise and development of artificial intelligence (AI) was not a sudden occurrence. The greater the effect that AI has on humans, the more pressing the need is for us to understand it. This paper addresses research on the use of AI to evaluate new design methods and tools that can be leveraged to advance AI research, education, policy,...
Article
Full-text available
We aim to identify the engagement strategies that higher education students, engaging in emergency online learning in low-resource settings, perceive to be effective. We conducted a sequential mixed-methods study based on Moore’s interaction framework for distance education. We administered a questionnaire to 313 students engaging in emergency onli...
Article
Full-text available
Precision education is a new challenge in leveraging artificial intelligence, machine learning, and learning analytics to enhance teaching quality and learning performance. To facilitate precision education, text marking skills can be used to determine students’ learning process. Text marking is an essential learning skill in reading. In this study...
Article
Full-text available
Precision education is now recognized as a new challenge of applying artificial intelligence, machine learning, and learning analytics to improve both learning performance and teaching quality. To promote precision education, digital learning platforms have been widely used to collect educational records of students' behavior, performance, and othe...
Book
This volume constitutes the proceedings of the 27th International Conference on Collaboration Technologies and Social Computing, CollabTech 2021, held August/September 2021. Due to VOVID-19 pandemic is was held virtually. The 5 full and 4 work-in-process papers presented in this volume were carefully reviewed and selected from 19 submissions. The p...
Article
We developed a three-level template for education and learning data usage policy in Japan and published it on the Academic eXchange for Information Environment and Strategy website. We found that clarifying the purpose of use and obtaining subjects’ consent are central to education and learning data usage, including personal information, and there...
Conference Paper
Full-text available
The quality of students' highlights can be an indicator of their learning performance. While the most common approach to grade their highlights is by humans, human grading can be inconsistent, especially when the number of highlights are large or when graders have different background knowledge. In this research, we propose a model to automatically...
Conference Paper
Full-text available
Measuring a student's highlight quality is a way to understand how well a student understands the learning materials. In general, students highlight the words or sentences they consider as important concepts during their learning process. An often way to measure students' highlight quality is to let graders give a highlight score after reading thei...