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<pre>
                                Preface
                                Brendan Flanagan1,*, Atsushi Shimada2, Fumiya Okubo2, Hsiao-Ting Tseng3, Albert C.M.
                                Yang4, Owen H.T. Lu5 and Hiroaki Ogata1

                                1 Kyoto University, Japan

                                2 Kyushu University, Japan

                                3 National Central University, Taiwan

                                4 National Chung-Hsing University, Taiwan

                                5 National Chengchi University, Taiwan




                                   As the adoption of digital learning materials in modern education systems is increasing, the
                                analysis of reading behavior and their effect on student performance gains attention. The main
                                motivation of this workshop is to foster research into the analysis of students’ interaction with
                                digital textbooks, and find new ways in which it can be used to inform and provide meaningful
                                feedback to stakeholders: teachers, students and researchers. The previous years workshops at
                                LAK19 and LAK20 focused on reading behavior in higher education, and LAK21, LAK22 and LAK23
                                on secondary school reading behavior and pre/post COVID-19 pandemic changes. Participants
                                of this year’s workshop will be given the opportunity to analyze several different datasets,
                                including secondary school prediction of academic performance for more than one subject. As
                                with previous years, additional information on lecture schedules and syllabus will also enable
                                the analysis of learning context for further insights into the preview, in-class, and review reading
                                strategies that learners employ. In addition, this workshop will accept a wide range of reaserch
                                topics on learning analytics, educational technology, and learning support systems in the post
                                COVID-19 era, including applications of AI in education, proposals for new educational systems,
                                new evaluation methods, and so on. 1
                                   Each paper submitted to the workshop underwent a rigorous double-blind review by at least
                                two reviewers. Each paper was evaluated with respect to four criteria: 1) quality of content, 2)
                                significance for theory and practice, 3) originality and level of innovativeness, 4) fitting to the
                                workshop theme. The review results of each paper were subsequently discussed by the
                                workshop chairs resulting in a decision of acceptance or rejection. As a result, we accepted 11
                                papers to be published in this workshop. We thank the authors for their submissions and the
                                program committee for their hard work.




                                LAK-WS 2024: Joint Proceedings of LAK 2024 Workshops, March 18–19, Kyoto, Japan
                                ∗ Corresponding author.

                                   flanagan.brendanjohn.4n@kyoto-u.ac.jp (B. Flanagan)
                                           © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).




CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
Organization

Organizing Committee
Brendan Flanagan (Kyoto University, Japan)
Atsushi Shimada (Kyushu University, Japan)
Fumiya Okubo (Kyushu University, Japan)
Hsiao-Ting Tseng (National Central University, Taiwan)
Albert C.M. Yang (National Chung-Hsing University, Taiwan)
Owen H.T. Lu (National Chengchi University, Taiwan)
Hiroaki Ogata (Kyoto University, Japan)



Program Committee
Anna Huang (NCU, Taiwan)
Christopher Yang (Kyoto University, Japan)
Hiroki Nakayama (Yamagata University, Japan)
Hsiao-Ting Tseng (National Central University, Taiwan)
Mohammad Nehal (Hosei University, Japan)
Taisuke Kawamata (Seikei University, Japan)
Yosuke Morimoto (The Open University of Japan, Japan)
上田 浩 (Hosei University, Japan)
宮崎 誠 (Teikyo University, Japan)
畠山 久 (Tokyo Institute of Technology, Japan)
浜元 信州 (Gunma University, Japan)
重田 勝介 (Hokkaido University, Japan)
久保田 真一郎 (Kumamoto University, Japan)

</pre>