Mohammad Nehal Hasnine

Hosei University · Research Center for Computing and Multimedia Studies

Since COVID-19 began, the ways of teaching and learning have changed drastically. Traditional teaching methods are shifted to technology-mediated methodologies such as asynchronous online learning, hybrid learning, blended learning, hy-flex learning, on-demand learning, and competency-based online learning. Due to the COVID-19 pandemic, traditional...

Interventions based on learning analytics have a very important place in closing the learning analytics loop. However, data-driven studies that test the effects of learning analytics-based interventions on students' online learning behaviors are very limited. In this study, the effect of the student-facing learning analytics dashboard (LAD) on the...

Learning analytics dashboards (LADs) have an important role in delivering the analytics results to the stakeholders. Student-facing LADs are frequently used in online learning environments to support students’ self-regulation processes and motivation. However, to make dashboards effective, students are expected to visit them regularly. Studies show...

In the traditional classroom, active learning is known to be a learner-centric instructional approach where constructive knowledge, discussion, role play, collaborative problem-solving activities, and self-assessment are commonly used to engage students with the students-centered course materials. Hybrid classroom is a mixed approach between the ph...

In higher education, the pandemic has caused a dramatic disruption. Due to the disruption, educators are changing their conventional perspectives to reshape the teaching practices. Educators are now relying more on technologies for delivering lecture materials, interaction design, assessment, and engagement detections; and therefore, the convention...

Active learning is a learner-centric instructional method that uses discussion, role play, collaborative problem-solving based approaches to engage students with the course materials. However, due to the pandemic, active learning activities take place over multiple learner-centric technologies, as classroom-centered activity design is no longer pos...

This study analyzed students' online assignment submission behaviors from the perspectives of temporal learning analytics. This study aimed to model the time-dependent changes in the assignment submission behavior of university students by employing various machine learning methods. Precisely, clustering, Markov Chains, and association rule mining...

Online learning is growing in various forms, including full-online, hybrid, hy-flex, blended, synchronous, and asynchronous. Assessing students’ engagement without having real contact between teachers and students is becoming a challenge for the teachers. Therefore, this paper focuses on analyzing online lecture videos to detect students’ engagemen...

Vocabulary acquisition is an essential component for mastering any language as words are the building blocks of a language. In informal learning, foreign language learners often struggle to memorize new vocabularies, and therefore, new tools need to be developed to facilitate vocabulary acquisition. In computer-assisted learning environments, image...

Contextual factors in which learning occurs are crucial aspects that learning analytics and related disciplines aim to understand for optimizing learning and the environments in which learning occurs. In foreign vocabulary development, taking the notes or memos of learning contexts along with other factors, play an essential role in quick memorizat...

In this study, approximately 2 million click-stream data of 1346 students in the eBook platform were analyzed aiming to explore the temporal study patterns of the students followed during the lectures. The data used in the study collected from Kyushu University, Japan with the help of a digital textbook reader called BookRoll. Students used BookRol...

Incidental vocabulary learning is the process of learning foreign vocabulary without the intention of doing so. In language learning pedagogy, incidental learning is considered to be an effective way to enhance foreign vocabulary from context. Conventional vocabulary learning systems in ubiquitous learning scenarios are developed primarily for supp...

Due to the COVID-19 pandemic, higher educational institutions around the globe are facing a massive transformation in learning and teaching. With higher educational institutions planning for less on reopening and more on resuming remote learning, a key concern is to keep students active, motivated, and engaged with online lessons that are delivered...

This paper introduces three computer-assisted applications designed for learning foreign vocabulary in an informal setting. The first one, images recommendation application, generates appropriate image recommendations for representing a word. It tackles the challenge for a foreign language learner to determine appropriate images from a standard web...

In ubiquitous learning, authentic experiences are captured and later reused as those are rich resources for foreign vocabulary development. This paper presents an experiential theory-oriented approach to the design of learning analytics support for sharing and reusing authentic experiences. In this regard, first, a conceptual framework to support v...

In this paper, we analyzed the relationships between students' engagement and academic performance in the digital textbook system. To measure students' engagement, we first extracted features from the students' digital textbook reading logs (click-streams) that represent their engagement with the contents. Then, we used percentile rank transformati...

In this paper, a model for identifying e-book reading style is proposed and applied onto a learning log dataset. Learning log data available as non-structured data source is processed to identify patterns of reading exhibited by users using three main structures: reading sessions, reads and passages. These structures are used to extract information...

Human learning can be enhanced by visualizing actionable insights of our daily-life learning activities. This, in the context of ubiquitous learning, is generally achieved by an analytics dashboard in which valuable insights from largescale datasets are extracted and visualized so that interactivity, engage-ability, proactiveness, motivation, etc....

Association rule mining is the process of discovering new knowledge and non-trivial patterns hidden in textual datasets. This approach is often used by learning analytics researchers and practitioners for exploring unique types of data collected from various educational environments. By leveraging association rule mining, this study aims at providi...

The breakthrough of information technology has accelerated the evolutionary change in teaching and learning methodologies. In particular, pervasion of high-efficiency smartphones has raised the potential to generate a new learning environment called seamless learning, which has been drawing much attentions from researchers in pedagogy of any domain...

Learning context has evident to be an essential part in vocabulary development, however describing learning context for each vocabulary is considered to be difficult. In the human brain, it is relatively easy to describe learning contexts using pictures because pictures describe an immense amount of details at a quick glance that text annotations c...

This paper describes an automatic quiz generation system designed to support language learning that utilizes digital textbook logs. Learners often memorize words in digital textbooks while preparing for an examination, and they often use the highlight function for the words. Previous studies regarding annotations and highlights have shown that lear...

Early prediction systems have already been applied successfully in various educational contexts. In this study, we investigated developing an early prediction system in the context of eBook-based teaching-learning and used students’ eBook reading data to develop an early warning system for students at-risk of academic failure -students whose academ...

This paper introduces a platform for image recommendation that can be used in informal learning of foreign words. The platform is based on a distributional semantics model (DSM) that is designed to recommend Feature-based Context-specific Appropriate Images (FCAIs) for representing a word. This technology is for a context-aware ubiquitous learning...

Authentic learning experiences are considered to be a rich source for learning foreign vocabulary. Prevalent learning theories support the idea of learning from others' authentic experiences. This study aims at developing a learning analytics solution to deliver the right authentic learning contents created by one learner to others in a seamless le...

In this paper, we aimed at detecting off-task behaviors of the students by analyzing logs from a digital textbook reader. We analyzed 47 students' reading logs from a 60-minutes long in-class reading activity. During the preprocess, we extracted each student's reading patterns as a single vector. Then we used cluster analysis to find the most commo...

E-books are capable of producing a significant amount of clickstream data that insights students' learning behavior. Clickstream data are often analyzed in learning analytics and educational data mining domains to understand students' synchronous and asynchronous learning processes. The present study analyzed a dataset consisting of university stud...

This paper aims to develop an image recommendation system to support informal vocabulary learning for a context-aware learning environment called SCROLL (System for Capturing and Reminding of Learning Log). The idea is based on ubiquitous learning logs analysis, image (contextual and non-contextual) feature analysis, and information visualization t...

This paper introduces SCROLL dataset, a dataset that consists of foreign language learners lifelong learning experiences (i.e. lifelogs). Logs are chronologically collected from a context-aware ubiquitous language learning system called SCROLL (System for Capturing and Reminding of Learning Logs). The dataset contains ubiquitous learning logs from...

Currently eLearning infrastructure across various institutions often includes a Learning Management System (LMS), various ubiquitous and classroom learning tools, Learning Record Stores (LRS) and Learning Analytics Dashboards (LAD). Such an infrastructure can apply Learning Analytics (LA) methods to process log data and support various stakeholders...

This paper describes an automatic quiz generation system to support memory retention utilizing digital textbook logs as well as to reduce teachers' burden to create quizzes. An experimental was conducted to examine whether our automatically generated quiz system more effective in learners' learning achievement than teacher-created quizzes. Twelve i...

Organizational tendencies towards computer-based information processing have been observed noticeably in the third-world countries. Many enterprises are taking major initiatives towards computerized working environment because of massive benefits of computer-based information processing. However, designing and developing information resource manage...

This paper describes an infrastructure for seamless learning analytics to bridge digital textbook learning and practical training such as programming and conceptual modeling education. To realize the infrastructure for seamless learning analytics, we propose the integration of a digital textbook system into a software learning support system. By us...

Vocabulary acquisition based on the traditional pen-and-paper approach is outdated, and has been superseded by the multimedia-supported approach. In a multimedia-supported foreign language learning environment, a learning material comprised of a still-image, a text, and the corresponding sound data is considered to be the most effective way to memo...

This article acquaints its readers with a research paradigm that has been designed to extract appropriate (synonymously educational) images of abstract nouns. The ongoing investigation principally purposed to assist L2 learners/educators by recommending appropriate images in the creation of vocabulary learning items for abstract nouns. Hence, a pro...