Hiroaki Ogata
Biographic Data
| ID | 3845000 |
|---|---|
| NAME | Hiroaki Ogata |
| GIVEN NAMES | Hiroaki |
| FAMILY NAME | Ogata |
| SIGNATURE | OGATA H |
| AFFILIATIONS | Kyoto University |
| ORCID | 0000-0001-5216-1576 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Enabling data-driven peer help for extracurricular learning
The rapid advancement of educational technologies has reshaped informal and extracurricular learning, particularly in regions like Hokkaido, Japan, where demographic shifts have increased reliance on remote learning. While these settings offer flexibility and accessibility, they often lack structured opportunities for interpersonal interactions, posing challenges to social interactional learning and timely assistance. This study proposes an adapt…
Examining motivational factors influencing self-explanation quality and mathematics achievement in online learning for junior high students
This study examines the interplay between motivational factors, self-explanation quality, and mathematics achievement among 164 junior high school students in an online learning environment. We hypothesized that intrinsic motivation would positively correlate with self-explanation quality (H1) and that self-explanation would predict academic achievement (H2). Using factor and regression analyses, we found that engaging in challenging tasks signif…
Data-driven peer recommendation in higher education
Collaborative learning in tertiary education faces challenges such as limited teacher intervention and effective student pairing. This study addresses these issues by proposing a data-driven peer recommendation approach enhanced with learner profile visualisation. The system dynamically matches students based on evolving learning profiles, using an open learner model to improve transparency and decision-making. Implemented in a Japanese universit…
Algorithmic group formation and group work evaluation in a learning analytics-enhanced environment
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 formation and group work evaluation systems in a Japanese junior high school context. Data from a seri…
Design of a learning dashboard to enhance reading outcomes and self-directed learning behaviors in out-of-class extensive reading
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 developed a learning dashboard and integrated SDL process management in GOAL system. It was implemen…
Learning analytics of peer feedback on communicative skills in an EFL course across different learning modalities
Visualization of education blockchain data
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 visualized across various education blockchain solutions. We argue that education's uniqueness requires a …
Development and evaluation of a visualization system to support meaningful e-book learning
This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated topic maps; and (b) “cache-cache comparison mode,” where at the first stage of learning all information …
Analysis of self-directed learning ability, reading outcomes, and personalized planning behavior for self-directed extensive reading
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 investigated the relations between SDL ability, SDL behaviors, and reading outcomes and further expl…
Research trends in the use of E-books in English as a foreign language (EFL) education from 2011 to 2020
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 subjects, learning strategies, target skills, and the research outcomes. A total of 53 selected artic…
Emergency Online Learning in Low-Resource Settings
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 online learning in low-resource settings to examine their perceptions of different engagement strategies…
Multimodal Technologies in Precision Education
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, serious games, artificial intelligence, learning management systems, mobile applications, augmented/virt…
Goal-oriented active learning (Goal) system to promote reading engagement, self-directed learning behavior, and motivation in extensive reading
Predicting at-risk university students based on their e-book reading behaviours by using machine learning classifiers
Providing early predictions of academic performance is necessary for 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 has research made the early prediction based on their online reading behaviours by implementing machine learning c…
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
We discuss the new challenges and directions facing the use of big data and artificial intelligence (AI) in education research, policy-making, and industry. In recent years, applications of big data and AI in education have made significant headways. This highlights a novel trend in leading-edge educational research. The convenience and embeddedness of data collection within educational technologies, paired with computational techniques have made…
Language Learning Tool for Refugees
A large number of refugees need to learn a new language in order to transition to, or settle in, a new country. Most refugees have access to smartphones with which they can access mobile language learning tools. However, refugees in different stages of their journeys have different language learning needs. Identifying the unique needs of refugees is essential to design language learning tools that support their language learning activities. Throu…
Computer Supported Social Networking For Augmenting Cooperation
Language Learning Tool for Refugees
A large number of refugees need to learn a new language in order to transition to, or settle in, a new country. Most refugees have access to smartphones with which they can access mobile language learning tools. However, refugees in different stages of their journeys have different language learning needs. Identifying the unique needs of refugees is essential to design language learning tools that support their language learning activities. Throu…
Computer Supported Social Networking For Augmenting Cooperation
Language Learning Tool for Refugees
A large number of refugees need to learn a new language in order to transition to, or settle in, a new country. Most refugees have access to smartphones with which they can access mobile language learning tools. However, refugees in different stages of their journeys have different language learning needs. Identifying the unique needs of refugees is essential to design language learning tools that support their language learning activities. Throu…
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
We discuss the new challenges and directions facing the use of big data and artificial intelligence (AI) in education research, policy-making, and industry. In recent years, applications of big data and AI in education have made significant headways. This highlights a novel trend in leading-edge educational research. The convenience and embeddedness of data collection within educational technologies, paired with computational techniques have made…
Emergency Online Learning in Low-Resource Settings
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 online learning in low-resource settings to examine their perceptions of different engagement strategies…
Multimodal Technologies in Precision Education
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, serious games, artificial intelligence, learning management systems, mobile applications, augmented/virt…
Goal-oriented active learning (Goal) system to promote reading engagement, self-directed learning behavior, and motivation in extensive reading
Predicting at-risk university students based on their e-book reading behaviours by using machine learning classifiers
Providing early predictions of academic performance is necessary for 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 has research made the early prediction based on their online reading behaviours by implementing machine learning c…
Visualization of education blockchain data
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 visualized across various education blockchain solutions. We argue that education's uniqueness requires a …
Development and evaluation of a visualization system to support meaningful e-book learning
This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated topic maps; and (b) “cache-cache comparison mode,” where at the first stage of learning all information …
Analysis of self-directed learning ability, reading outcomes, and personalized planning behavior for self-directed extensive reading
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 investigated the relations between SDL ability, SDL behaviors, and reading outcomes and further expl…
Research trends in the use of E-books in English as a foreign language (EFL) education from 2011 to 2020
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 subjects, learning strategies, target skills, and the research outcomes. A total of 53 selected artic…
Algorithmic group formation and group work evaluation in a learning analytics-enhanced environment
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 formation and group work evaluation systems in a Japanese junior high school context. Data from a seri…
Design of a learning dashboard to enhance reading outcomes and self-directed learning behaviors in out-of-class extensive reading
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 developed a learning dashboard and integrated SDL process management in GOAL system. It was implemen…
Learning analytics of peer feedback on communicative skills in an EFL course across different learning modalities
Examining motivational factors influencing self-explanation quality and mathematics achievement in online learning for junior high students
This study examines the interplay between motivational factors, self-explanation quality, and mathematics achievement among 164 junior high school students in an online learning environment. We hypothesized that intrinsic motivation would positively correlate with self-explanation quality (H1) and that self-explanation would predict academic achievement (H2). Using factor and regression analyses, we found that engaging in challenging tasks signif…
Data-driven peer recommendation in higher education
Collaborative learning in tertiary education faces challenges such as limited teacher intervention and effective student pairing. This study addresses these issues by proposing a data-driven peer recommendation approach enhanced with learner profile visualisation. The system dynamically matches students based on evolving learning profiles, using an open learner model to improve transparency and decision-making. Implemented in a Japanese universit…
Enabling data-driven peer help for extracurricular learning
The rapid advancement of educational technologies has reshaped informal and extracurricular learning, particularly in regions like Hokkaido, Japan, where demographic shifts have increased reliance on remote learning. While these settings offer flexibility and accessibility, they often lack structured opportunities for interpersonal interactions, posing challenges to social interactional learning and timely assistance. This study proposes an adapt…
Computer Science (16 works) · Mathematics education (14 works) · Psychology (14 works) · Online Learning and Analytics (9 works) · Innovative Teaching and Learning Methods (7 works) · Data science (5 works) · Knowledge management (5 works) · Mobile Learning in Education (5 works) · Multimedia (5 works) · Sociology (5 works)