Huiyong LiKyushu University | Kyudai · Research Institute for Information Technology
Huiyong Li
Ph.D. (Informatics)
About
40
Publications
12,848
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Introduction
I'm an Assistant Professor at Research Institute for Information Technology, Kyushu University. Currently I'm interested in Learning Analytics, Educational Data Mining, Self-Directed Learning, and Technology Enhanced Language Learning. I wish to build an interest-driven real-world-enhanced learning environment for unlocking the potential of youth.
Education
April 2018 - March 2021
April 2015 - March 2018
Publications
Publications (40)
For the 21 st century learner, self-direction skill is crucial for developing both intellectual abilities and maintaining one's healthy lifestyle. While there are technology supports for specific self-regulated learning tasks and health monitoring, research is limited on how to support development of the meta-skill of Self-Direction itself. Our wor...
The aim of this research is to measure self-regulated behavior and identify significant behavioral indicators in computer-assisted language learning courses. The behavioral measures were based on log data from 2454 freshman university students from Art andScience departments for 1 year. These measures reflected the degree of self-regulation, includ...
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...
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...
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...
To promote the development of students' reading literacy and learning skills in the k-12 setting, this study introduced an online extensive reading (ER) environment with self-directed learning (planning, monitoring, reflection) and social (discussion forum participation) support. This study aimed to examine whether planning behavior and discussion...
An automatic recommendation system for learning materials in e-learning addresses the challenge of selecting appropriate materials amid information overload and varying self-directed learning (SDL) skills. Such systems can enhance learning by providing personalized recommendations. In Extensive Reading (ER) for English as a Foreign Language (EFL),...
Self-direction skill (SDS) is an essential 21st-century skill that can help learners be independent and organized in their quest for knowledge acquisition. While some studies considered learners from higher education levels as the target audience, providing opportunities to start the SDS practice by K12 learners is still rare. Further, practicing s...
While building proper learning habits has been said to enhance academic performance, it is challenging to give long-term support for building habits in educational contexts due to the lack of continuous tracing of one’s habitual behaviors. With the accumulation of learning logs and the advancement of Learning Analytics (LA) techniques, this paper i...
This study examined whether self-direction skills (SDS) are generic and can be applied to a variety of situations using data, rather than being limited to a specific context. The concept of SDS, a crucial component in 21st-century learning, encompasses activities ranging from academic learning to daily physical tasks. The GOAL system was developed...
This research aims to explore how to effectively utilize the self-reflection data generated by students during their learning process to enhance self-directed learning (SDL). In this study we collected the last 2 years' data from an SDL support environment, GOAL, with 2304 logs related to reflections, key point summaries, learning strategies, and g...
Learners may have a unique chronotype of learning habits that they have the preferred time of day to work. Even though learner activity extracted from trace data can provide useful and insightful information about their learning habits, there is a lack of tracing habits in daily learning at a school level from learning logs. Therefore, we propose t...
Self-directed learning requires students to take the initiative to learn and control their learning process. Scholars have provided evidence for the positive effect of self-directed learning on academic achievement, and they emphasize the importance of self-direction for lifelong learning. Yet, a limited study has been conducted in K-12 education....
The GOAL project aimed to collect and synchronize learners’ data from physical activity sensors as well as online learning tools to design data-driven services. We extend the potential of learning tools interoperability (LTI) protocol to link physical activity and sensor data from smartwatch platforms. Our primary purpose is to provide this synchro...
This work aims to propose a learner model-based feedback model for self-direction skills (SDS) acquisition to address the challenge of providing learning services with multimodal data in K-12 settings. The feedback model leverages students' daily life activity data from learning systems and wearable devices, creates a learner model of SDS, and prov...
The development of technology enables diverse learning experiences nowadays, which shows the importance of learners’ self-regulated skills at the same time. Particularly, the ability to allocate time properly becomes an issue for learners since time is a resource owned by all of them. However, they tend to struggle to manage their time well due to...
Language teaching has a rich research history. A research discipline of Computer-Assisted Language Learning (CALL) has focused on technology integration in that practice. However, integrating the learning logs to create a data-driven workflow for the teachers and students is still limited. We design a technology framework called LEAF (Learning and...
Extensive Reading (ER) activity is useful in language learning where learners pick any reading materials in target language by themselves and continue reading. In this study, we aim to understand students' self-regulation behaviors and strategies in ER so that facilitators can give learning strategy-based instruction. For this purpose, we first exp...
Mobile learning (M-learning) refers to the use of mobile and wireless communication technologies to enable students to access learning materials in an interactive manner, regardless of location and time constraints. However, without a proper learning design or the provision of learning guidance, most students might fail to plan their learning sched...
Habit is an important concept attracting researchers’ attention in many fields. In the past, habit was commonly measured by tools such as questionnaires and diaries which involve subjects’ self-reported behaviors. However, attempts to extract and support good learning habits with actual learners’ data are still limited. Therefore, in this study, we...
Self-directed learning (SDL) has been identified as an increasingly important skill in language learning for the twenty-first century learners. SDL requires learners to be active and purposefully harness several skills to maximize their learning, such as planning skills. Given the complex interplay between perceptions and behaviors and the dynamic...
The interactive demo highlights the various data-driven services that are linked to the Learning and Evidence Analytics Framework (LEAF). LEAF enables reading-based learning activities through BookRoll and uses the interaction logs and data from the reading content to generate services for teaching and learning. BookRoll and the learning dashboard...
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...
Learning material recommendation has been a common field in the recommendation in e-learning due to the difficulty the learners experience in choosing appropriate learning materials among many resources. However, few traditional recommendation methods can be applied to e-learning as they are because they do not consider the learners' characteristic...
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...
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...
GOAL (Goal Oriented Active Learner) system is a platform to support the development of students' self-direction skills using a data-driven feedback loop. It integrates students' learning activity data from the learning management system (LMS) and physical activities data from the mobile health applications or wearable devices. These activity data p...
Increasing the number of patients with symptoms of depression makes maintaining Mental Health concerns in many societies calling for global attention. In children, stress and depression have a detrimental effect on their developmental emotions and physical health. From the perspective of a student, daily stress can affect their learning activities....
Students' learning behaviors in an online learning environment can be automatically recorded by learning systems. Such learning records provide new opportunities to model students' learning process. On the other hand, it has become more common to see students having wearable devices that assist in tracking their personal physical activities. These...
Current technology enables tracking of various learning and physical activities. User can use the data to analyze issues in the execution of those activities. Current work focuses on this analysis phase of data-informed self-directed activity cycle and proposes a measurement framework of the skill while learners work in a data-rich context. It is a...
For the 21 st century learner, developing self-direction skill is crucial for both academic activities and maintaining one's healthy lifestyle. While there are technology supports for specific self-regulated learning tasks and health monitoring, research is limited on how to support development of meta-skill of self-direction process itself. In our...
To enable students to engage in lifelong learning, it would require developing self-direction skills (SDS). The use of technology in education is common, however, the available software still offers poor support from a self-direction point of view. From the theories of self-directed learning (SDL) and evidence-based practice (EBP), we proposed a fr...
Presented at the 13th ICT Innovation at Kyoto University
Mobility as a means of transportation is undergoing a drastic change due to popularization and innovation of Information and Communication Technology (ICT). Autonomous car driving technologies is currently under development. Among them, the concept of Mobility as a Service (MaaS) has been established, and it is an opportunity to recapture the whole...
Computer-assisted language learning (CALL) is often used as an approach to foreign language teaching and learning in higher education. The CALL course is offered at a national university in Japan to allow freshman students to perform self-regulated learning with e-learning materials for the purpose of developing language skills. However, as novice...
Computer-assisted language learning (CALL) is often used as an approach to foreign language teaching and learning in higher education. The CALL course is offered at a national university in Japan to allow freshman students to perform self-regulated learning with e-learning materials for the purpose of developing language skills such as grammar, lis...