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1.
IEICE Transactions on Information and Systems ; E106D(2):101-109, 2023.
Article in English | Scopus | ID: covidwho-2274715

ABSTRACT

During the COVID-19 pandemic there was a rapid shift to emergency remote teaching practices and online tools for education have already gained further attention. While eLearning initiatives are developed and its implementation at scale are widely discussed, this research focuses on the utilization of data which can be logged in such eLearning systems. We demonstrate the need and potential of utilizing learning logs to create services supporting sustainable quality improvement of education. Learning and Evidence Analytics Framework (LEAF), is the overarching technology framework with affordances to adopt evidence-based practices for education. It aims to promote learning for all by introducing data-driven services for personalized approaches. © 2023 The Institute of Electronics.

2.
29th International Conference on Computers in Education Conference, ICCE 2021 ; 1:352-361, 2021.
Article in English | Scopus | ID: covidwho-1762463

ABSTRACT

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 components for more than 11 years in a face-to-face classroom mode. However, this time the OBE was conducted online using BookRoll, a learning analytics enhanced eBook platform. 89 Students accessed Hayavadana, an Indian play uploaded on BookRoll during the exam. They attempted a critical reading task to identify performative elements and cultural references in the text by highlighting them with yellow and red markers respectively and writing a reflective memo about the identified items in BookRoll. We analyzed learner’s interaction logs gathered in the learning record store linked to BookRoll during the OBE and investigated the relations between their critical reading behaviors to the OBE achievement. Further, selecting two distinct achievement groups we conducted process mining to identify distinct reading behaviors of the high and low performers and give examples of their generated reflective memos. This study aims to initiate further discussion related to the application of learning analytics in humanities courses and probed into the behaviors of the students during the OBE. © 2021 29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings. All rights reserved

3.
ICCE - Int. Conf. Comput. Educ., Proc. ; 1:680-682, 2020.
Article in English | Scopus | ID: covidwho-1040417

ABSTRACT

As a necessary preventive measure against the spread of Novel Coronavirus (COVID-19), many educational institutions across the globe are changing the style of traditional teaching-learning interactions from classrooms to online modes in a very short period. Data gathered from an online survey conducted with participants (educators and researchers, n=57) from 19 different countries, found that digital divide, uncertainty regarding student's participation in the online activities, and the increase in effort of the teachers to make the rapid transition to a new online mode of teaching and learning are some of the common challenges during this period. We propose how BookRoll, an eBook-based and learning analytics enhanced system has a low floor and high ceiling to continue interactive learning activities during this period. This proposal has the following advantages: It takes lower bandwidth to distribute learning materials than video-based learning activities;teachers can directly use their previously created content with the students and provide easily trackable in-content formative evaluations (specific reflective questions or annotation-based activities). © ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. All rights reserved.

4.
ICCE - Int. Conf. Comput. Educ., Proc. ; 1:127-136, 2020.
Article in English | Scopus | ID: covidwho-1040416

ABSTRACT

Investigating learning behaviors in a humanities course using learning analytics techniques is underrepresented in literature. A Critical Analysis of Literature and Cinema course was selected as a context. The course was offered for more than 10 years by the instructor in a face-to-face classroom mode. However, this time the context was unique as the classroom-based interactive activities were rapidly migrated to online sessions due to the COVID-19 pandemic related lockdown. Under such a circumstance, BookRoll, a learning analytics enhanced eBook platform supported the critical reading activity online. Students (n=22 out of the 50 registered) accessed Hayavadana, an Indian play titled Hayavadana uploaded on BookRoll and attempted to identify performative elements and cultural references in the text and highlight them. In this study, we analyze learner's reading logs gathered in the learning record store linked to BookRoll during that activity. Based on learner's online reading engagement from their clickstream interactions and time spent for them, four readers' profiles were defined;Effortful, Strategic, Wanderers and Check-out. We illustrate the content navigation and annotation behavior of each of those profiles. This study aims to initiate further discussion related to the application of learning analytics in humanities courses both to enhance the teaching and learning experiences by the use of interactive learning dashboards that was used to probe into the learning behaviors of the students. © ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. All rights reserved.

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