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Understanding Personal Data Tracking and Sensemaking Practices for Self-Directed Learning in Non-classroom and Non-computer-based Contexts

Published: 19 April 2023 Publication History

Abstract

Self-directed learning is becoming a significant skill for learners. However, learners may suffer from difficulties such as distractions, a lack of motivation, and so on. While self-tracking technologies have the potential to address these challenges, existing tools and systems mainly focused on tracking computer-based learning data in classroom contexts. Little is known about how students track and make sense of their learning data from non-classroom learning activities and which types of learning data are personally meaningful for learners. In this paper, we conducted a qualitative study with 24 users of Timing, a mobile learning tracking application in China. Our findings indicated that users tracked a variety of qualitative learning data (e.g., videos, photos of learning materials, and emotions) and made sense of this data using different strategies such as observing behavioral and contextual details in videos. We then provided implications for designing non-classroom and non-computer-based personal learning tracking tools.

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References

[1]
Phil Adams, Mashfiqui Rabbi, Tauhidur Rahman, Mark Matthews, Amy Voida, Geri Gay, Tanzeem Choudhury, and Stephen Voida. 2014. Towards personal stress informatics: comparing minimally invasive techniques for measuring daily stress in the wild. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare. 72–79.
[2]
Fereshteh Amini, Khalad Hasan, Andrea Bunt, and Pourang Irani. 2017. Data representations for in-situ exploration of health and fitness data. In Proceedings of the 11th EAI international conference on pervasive computing technologies for healthcare. 163–172.
[3]
Ant.yif. 2019. Product Analysis Report: Timing. (2019). Retrieved from Marth 5, 2019. http://www.reporter-app.com/.
[4]
Amid Ayobi, Paul Marshall, Anna L Cox, and Yunan Chen. 2017. Quantifying the body and caring for the mind: self-tracking in multiple sclerosis. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 6889–6901.
[5]
Amid Ayobi, Tobias Sonne, Paul Marshall, and Anna L Cox. 2018. Flexible and mindful self-tracking: Design implications from paper bullet journals. In Proceedings of the 2018 CHI conference on human factors in computing systems. 1–14.
[6]
Megan Balduf. 2009. Underachievement among college students. Journal of advanced academics 20, 2 (2009), 274–294.
[7]
Ralph G Brockett and Roger Hiemstra. 2018. Self-direction in adult learning: Perspectives on theory, research, and practice. Routledge.
[8]
Philip C Candy. 1991. Self-Direction for Lifelong Learning. A Comprehensive Guide to Theory and Practice.ERIC.
[9]
Scott Carlson. 2005. The net generation goes to college. The chronicle of higher education 52, 7 (2005), A34.
[10]
Eun Kyoung Choe, Bongshin Lee, 2015. Characterizing visualization insights from quantified selfers’ personal data presentations. IEEE computer graphics and applications 35, 4 (2015), 28–37.
[11]
Chia-Fang Chung, Elena Agapie, Jessica Schroeder, Sonali Mishra, James Fogarty, and Sean A Munson. 2017. When personal tracking becomes social: Examining the use of Instagram for healthy eating. In Proceedings of the 2017 CHI Conference on human factors in computing systems. 1674–1687.
[12]
Chia-Fang Chung, Qiaosi Wang, Jessica Schroeder, Allison Cole, Jasmine Zia, James Fogarty, and Sean A Munson. 2019. Identifying and planning for individualized change: Patient-provider collaboration using lightweight food diaries in healthy eating and irritable bowel syndrome. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies 3, 1 (2019), 1–27.
[13]
Marisa Cohen. 2012. The importance of self-regulation for college student learning. College Student Journal 46, 4 (2012), 892–902.
[14]
Sunny Consolvo, Predrag Klasnja, David W McDonald, Daniel Avrahami, Jon Froehlich, Louis LeGrand, Ryan Libby, Keith Mosher, and James A Landay. 2008. Flowers or a robot army? Encouraging awareness & activity with personal, mobile displays. In Proceedings of the 10th international conference on Ubiquitous computing. 54–63.
[15]
Juliet Corbin and Anselm Strauss. 2014. Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications.
[16]
Felicia Cordeiro, Elizabeth Bales, Erin Cherry, and James Fogarty. 2015. Rethinking the mobile food journal: Exploring opportunities for lightweight photo-based capture. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. 3207–3216.
[17]
Aykut Coşkun and Armağan Karahanoğlu. 2022. Data Sensemaking in Self-Tracking: Towards a New Generation of Self-Tracking Tools. International Journal of Human–Computer Interaction (2022), 1–22.
[18]
Arthur L Costa and Bena Kallick. 2003. Assessment strategies for self-directed learning. Corwin Press.
[19]
Mayara Costa Figueiredo, Clara Caldeira, Tera L Reynolds, Sean Victory, Kai Zheng, and Yunan Chen. 2017. Self-tracking for fertility care: collaborative support for a highly personalized problem. Proceedings of the ACM on Human-Computer Interaction 1, CSCW(2017), 1–21.
[20]
Paulette Delgado. 2021. Gongbang: South Korean Trend of Watching People Study For Hours. (2021). Retrieved from https://observatory.tec.mx/edu-news/gongbang-study-with-me/.
[21]
Brenda Dervin. 1992. From the mind’s eye of the user: The sense-making qualitative-quantitative methodology. Sense-making methodology reader(1992).
[22]
Daniel A Epstein, Alan Borning, and James Fogarty. 2013. Fine-grained sharing of sensed physical activity: A value sensitive approach. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. 489–498.
[23]
Daniel A Epstein, Monica Caraway, Chuck Johnston, An Ping, James Fogarty, and Sean A Munson. 2016. Beyond abandonment to next steps: understanding and designing for life after personal informatics tool use. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 1109–1113.
[24]
Daniel A. Epstein, Nicole B. Lee, Jennifer H. Kang, Elena Agapie, Jessica Schroeder, Laura R. Pina, James Fogarty, Julie A. Kientz, and Sean Munson. 2017. Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). Association for Computing Machinery, New York, NY, USA, 6876–6888. https://doi.org/10.1145/3025453.3025635
[25]
Chloe Fan, Jodi Forlizzi, and Anind K Dey. 2012. A spark of activity: exploring informative art as visualization for physical activity. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing. 81–84.
[26]
The Education Endowment Foundation. 2018. Metacognition and Self-regulated Learning Seven recommendations for teaching self-regulated learning & metacognition. (2018). Retrieved from https://educationendowmentfoundation.org.uk/education-evidence/guidance-reports/metacognition.
[27]
Eva Ganglbauer, Geraldine Fitzpatrick, and Florian Güldenpfennig. 2015. Why and what did we throw out? Probing on reflection through the food waste diary. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. 1105–1114.
[28]
Maria A García-Corretjer, Sergi Navarro-Aubanell, and David Miralles. 2017. Towards a new measurement language for self-knowledge in personal-informatics. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. 382–385.
[29]
D Randy Garrison. 1997. Self-directed learning: Toward a comprehensive model. Adult education quarterly 48, 1 (1997), 18–33.
[30]
Rúben Gouveia, Fábio Pereira, Evangelos Karapanos, Sean A Munson, and Marc Hassenzahl. 2016. Exploring the design space of glanceable feedback for physical activity trackers. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 144–155.
[31]
Sten Govaerts, Katrien Verbert, Erik Duval, and Abelardo Pardo. 2012. The student activity meter for awareness and self-reflection. In CHI’12 Extended Abstracts on Human Factors in Computing Systems. 869–884.
[32]
John T Guthrie, Peggy Van Meter, Ann Dacey McCann, Allan Wigfield, Lois Bennett, Carol C Poundstone, Mary Ellen Rice, Frances M Faibisch, Brian Hunt, and Ann M Mitchell. 1996. Growth of literacy engagement: Changes in motivations and strategies during concept-oriented reading instruction. Reading research quarterly 31, 3 (1996), 306–332.
[33]
Karen Holtzblatt and Hugh Beyer. 1997. Contextual design: defining customer-centered systems. Elsevier.
[34]
Ioana Jivet, Maren Scheffel, Marcel Schmitz, Stefan Robbers, Marcus Specht, and Hendrik Drachsler. 2020. From students with love: An empirical study on learner goals, self-regulated learning and sense-making of learning analytics in higher education. The Internet and Higher Education 47 (2020), 100758.
[35]
Fatma Gizem Karaoglan Yilmaz. 2022. Utilizing learning analytics to support students’ academic self-efficacy and problem-solving skills. The Asia-Pacific Education Researcher 31, 2 (2022), 175–191.
[36]
Fatma Gizem Karaoglan Yilmaz and Ramazan Yilmaz. 2020. Student opinions about personalized recommendation and feedback based on learning analytics. Technology, knowledge and learning 25, 4 (2020), 753–768.
[37]
Fatma Gizem Karaoglan Yilmaz and Ramazan Yilmaz. 2022. Learning analytics intervention improves students’ engagement in online learning. Technology, Knowledge and Learning 27, 2 (2022), 449–460.
[38]
Jaejeung Kim, Joonyoung Park, Hyunsoo Lee, Minsam Ko, and Uichin Lee. 2019. LocknType: Lockout Task Intervention for Discouraging Smartphone App Use. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300927
[39]
Young-Ho Kim, Eun Kyoung Choe, Bongshin Lee, and Jinwook Seo. 2019. Understanding Personal Productivity: How Knowledge Workers Define, Evaluate, and Reflect on Their Productivity. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300845
[40]
Young-Ho Kim, Jae Ho Jeon, Eun Kyoung Choe, Bongshin Lee, KwonHyun Kim, and Jinwook Seo. 2016. TimeAware: Leveraging framing effects to enhance personal productivity. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 272–283.
[41]
M Knowels. 1975. Self–Directed Learning: A Guide for Learners and Teachers, NY: Cambridge Book Company. Extracto y traducción del libro original (1975).
[42]
Malcolm S Knowles. 1975. Self-directed learning: a guide for learners and teachers.(1975).
[43]
Minsam Ko, Seungwoo Choi, Koji Yatani, and Uichin Lee. 2016. Lock n’ LoL: Group-Based Limiting Assistance App to Mitigate Smartphone Distractions in Group Activities. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 998–1010. https://doi.org/10.1145/2858036.2858568
[44]
Yoonjoo Lee, John Joon Young Chung, Jean Y Song, Minsuk Chang, and Juho Kim. 2021. Personalizing Ambience and Illusionary Presence: How People Use “Study with me” Videos to Create Effective Studying Environments. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–13.
[45]
Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI conference on human factors in computing systems. 557–566.
[46]
Lisa Lim, Shane Dawson, Srecko Joksimovic, and Dragan Gašević. 2019. Exploring students’ sensemaking of learning analytics dashboards: Does frame of reference make a difference?. In Proceedings of the 9th international conference on learning analytics & knowledge. 250–259.
[47]
Zhicong Lu, Seongkook Heo, and Daniel J. Wigdor. 2018. StreamWiki: Enabling Viewers of Knowledge Sharing Live Streams to Collaboratively Generate Archival Documentation for Effective In-Stream and Post Hoc Learning. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 112 (nov 2018), 26 pages. https://doi.org/10.1145/3274381
[48]
Zhicong Lu, Haijun Xia, Seongkook Heo, and Daniel Wigdor. 2018. You Watch, You Give, and You Engage: A Study of Live Streaming Practices in China. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3173574.3174040
[49]
John R. Lund and Jason Wiese. 2021. Less is More: Exploring Support for Time Management Planning. In Designing Interactive Systems Conference 2021 (Virtual Event, USA) (DIS ’21). Association for Computing Machinery, New York, NY, USA, 392–405. https://doi.org/10.1145/3461778.3462133
[50]
Sonali R Mishra, Predrag Klasnja, John MacDuffie Woodburn, Eric B Hekler, Larsson Omberg, Michael Kellen, and Lara Mangravite. 2019. Supporting coping with parkinson’s disease through self tracking. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–16.
[51]
Lesley Mandel Morrow, Evelyn Sharkey, and William A Firestone. 1993. Promoting independent reading and writing through self-directed literacy activities in a collaborative setting. National Reading Research Center.
[52]
Nanahaishierlang. 2021. Admission Rate for Project 985 and 211 Universities in Each Province. (2021). Retrieved from Marth 5, 2019. https://zhuanlan.zhihu.com/p/406509369.
[53]
Yeonjeong Park and I-H Jo. 2015. Development of the learning analytics dashboard to support students’ learning performance. Journal of Universal Computer Science 21, 1 (2015), 110.
[54]
Kyrill Potapov and Paul Marshall. 2020. LifeMosaic: Co-design of a personal informatics tool for youth. In Proceedings of the interaction design and children conference. 519–531.
[55]
Jason Gilbert Randall. 2015. Mind Wandering and Self-directed Learning: Testing the Efficacy of Self-Regulation Interventions to Reduce Mind Wandering and Enhance Online Training. Ph.D. Dissertation.
[56]
John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers. 2014. Personal tracking as lived informatics. In Proceedings of the SIGCHI conference on human factors in computing systems. 1163–1172.
[57]
Heidi Ross and Yimin Wang. 2010. The college entrance examination in China: An overview of its social-cultural foundations, existing problems, and consequences: Guest editors’ introduction. Chinese Education & Society 43, 4 (2010), 3–10.
[58]
Samara Ruiz, Sven Charleer, Maite Urretavizcaya, Joris Klerkx, Isabel Fernández-Castro, and Erik Duval. 2016. Supporting learning by considering emotions: tracking and visualization a case study. In Proceedings of the sixth international conference on learning analytics & knowledge. 254–263.
[59]
Daniel M Russell, Mark J Stefik, Peter Pirolli, and Stuart K Card. 1993. The cost structure of sensemaking. In Proceedings of the INTERACT’93 and CHI’93 conference on Human factors in computing systems. 269–276.
[60]
Donggil Song and Curtis J Bonk. 2016. Motivational factors in self-directed informal learning from online learning resources. Cogent Education 3, 1 (2016), 1205838.
[61]
Liyan Song and Janette R Hill. 2007. A conceptual model for understanding self-directed learning in online environments. Journal of Interactive Online Learning 6, 1 (2007), 27–42.
[62]
Bob Taylor. 1995. Self-Directed Learning: Revisiting an Idea Most Appropriate for Middle School Students.(1995).
[63]
Gomathi Thiyagarajan and S Prasanna. 2020. Personalization and Visual Representation through Learning Analytics: A Meaningful Approach to Guide Self-Directed Learners. International Journal of Psychosocial Rehabilitation 24, 5(2020), 3298–3303.
[64]
Samson Maekele Tsegay and Muhammad Azeem Ashraf. 2016. How do students succeed in national college entrance examination (Gao-kao) in China: A qualitative study. International Journal of Research 5, 3 (2016), 81–90.
[65]
Õnne Uus, Paul Christian Seitlinger, and Timo Tobias Ley. 2020. Cognitive capacity in self-directed learning: Evidence of middle school students’ executive attention to resist distraction. Acta Psychologica 209(2020), 103089.
[66]
Janne Van Kollenburg, Sander Bogers, Heleen Rutjes, Eva Deckers, Joep Frens, and Caroline Hummels. 2018. Exploring the value of parent tracked baby data in interactions with healthcare professionals: A data-enabled design exploration. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–12.
[67]
Katrien Verbert, Erik Duval, Joris Klerkx, Sten Govaerts, and José Luis Santos. 2013. Learning analytics dashboard applications. American Behavioral Scientist 57, 10 (2013), 1500–1509.
[68]
Dennis Wang, Marawin Chheang, Siyun Ji, Ryan Mohta, and Daniel A. Epstein. 2022. SnapPI: Understanding Everyday Use of Personal Informatics Data Stickers on Ephemeral Social Media. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 539 (nov 2022), 27 pages. https://doi.org/10.1145/3555652
[69]
Xiang Bo Wang. 2006. An introduction to the system and culture of the College Entrance Examination of China. Research notes RN-28. New York: the College Board (2006).
[70]
Billy Tak-ming Wong and Kam Cheong Li. 2020. A review of learning analytics intervention in higher education (2011–2018). Journal of Computers in Education 7, 1 (2020), 7–28.
[71]
Ramzi Yakob. 2009. Grown up digital: how the net generation is changing your world.

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    cover image ACM Conferences
    CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
    April 2023
    14911 pages
    ISBN:9781450394215
    DOI:10.1145/3544548
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    Published: 19 April 2023

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    1. behavior change
    2. non-classroom-based learning
    3. non-computer-based learning
    4. personal informatics
    5. self-directed learning
    6. self-tracking

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    • (2024)Exploring Activity-Sharing Response Differences Between Broad-Purpose and Dedicated Online Social PlatformsProceedings of the ACM on Human-Computer Interaction10.1145/36868988:CSCW2(1-37)Online publication date: 8-Nov-2024
    • (2024)Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with StudentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642807(1-19)Online publication date: 11-May-2024
    • (2023)"I Want to Reveal, but I Also Want to Hide" Understanding the Conflict of Revealing and Hiding Needs in Virtual Study RoomsProceedings of the ACM on Human-Computer Interaction10.1145/36100917:CSCW2(1-27)Online publication date: 4-Oct-2023

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