IEEE 21st International Conference on Information Technology
Based Higher Education and Training (ITHET 2024)
Special Theme: The Future of Education, Powered by IT and AI
6 - 8 November 2024 | Paris, France
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 3rd Jan 2025, 08:41:29am CET
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Session Overview |
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ITHET 08
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ID: 123
/ ITHET 08: 1
ITHET (Abstract first then Full Paper) Topics: Changes in the roles and relationships of learners and teachers in technology-mediated environments. Keywords: educators, equality, LGBTQIA+, software engineering, students Queering Software Engineering Education: Integrative Approaches and Student Experiences Queen's University Belfast, United Kingdom ID: 162
/ ITHET 08: 2
ITHET (Abstract first then Full Paper) Topics: Curricula for key global technical challenges, Innovative uses of technology for teaching and learning within higher education and training Keywords: electrical engineering, entrepreneurship, innovation, student experience, sustainability Improving Student Extracurricular Engagement and Innovation Through an Entrepreneurship Course Queen's University Belfast, United Kingdom ID: 152
/ ITHET 08: 3
ITHET (Abstract first then Full Paper) Topics: Changes in the roles and relationships of learners and teachers in technology-mediated environments. Keywords: Educational Framework, Game-based Learning, Peer Learning, Primary Schools PlayfulPeer Pedagogy: A Framework for Integrating Game-Based Learning and Peer Interaction in Primary Education 1Center for innovations and digital education Dig-Ed, Skopje, North Macedonia; 2The Inland Norway University of Applied Sciences, Rena, Norway; 3Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia ID: 137
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ITHET (Abstract first then Full Paper) Topics: Curricula for key global technical challenges Keywords: Curriculum, Data Literacy, Middle School Students, High School Students, Quantified Self, Biometric Data. Evaluation Of Data Literacy Frameworks And A Self-Data Curriculum For High School Students 1University of Salamanca, Spain; 2New York University, United States Bibliography
[1] PISA 2025 Learning in the Digital World Framework (2nd draft). Available at: https://www.oecd.org/media/oecdorg/satellitesites/pisa/PISA%202025%20Learning%20in%20the%20Digital%20World%20Assessment%20Framework%20-%20Second%20Draft.pdf [2] UNESCO. A Global Framework of Reference on Digital Literacy Skills for Indicator 4.4.2. 2018. Available at: ip51-global-framework-reference-digital-literacy-skills-2018-en.pdf [3] J. Sickler, E, Bardar, and Kochevar, R. E. ‘Measuring data skills in undergraduate student work: Development of a scoring rubric. Journal of College Science Teaching, 50 (4), 2021, pp. 44-51. [4] C. Gläser, and U. Spree. "Finding access points for data literacy: The example of the ERASMUS+ Project DaLiCo (Data Literacy in Context)." European Conference on Information Literacy. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-99885-1_10 [4] V. R., Lee, M. H., Wilkerson, and K. Lanouette, A call for a humanistic stance toward K–12 data science education. Educational Researcher, 50(9), 2021, pp. 664-672. [5]C. Matuk, K., DesPortes, A., Amato, R., Vacca, M., Silander, P. J., Woods, and M. Tes. Tensions and synergies in arts‐integrated data literacy instruction: Reflections on four classroom implementations. British Journal of Educational Technology, 53(5), 2022, pp. 1159-1178. [6] C. Matuk, R. Vacca, A., Amato, M., Silander, K., DesPortes, P. J., Woods, and M. Tes. Promoting students’ informal inferential reasoning through arts-integrated data literacy education. Information and Learning Sciences, 125(3/4), 20024, pp. 163-189. [7]H. Gibson, M. E. Short, and C. O'Donnell. "Data, discourse, and development: Building a sustainable world through education and science communication." Frontiers in Communication 8 (2023): 981988. [8] A. C. Vargas, et al. "Towards a framework for Open Data literacy in education: A systematic mapping review of Open Data skills and learning approaches." Interaction Design and Architecture (s) 57, 2023, pp. 133-151. [9] K. Schüller. Future Skills: a Framework for Data Literacy-Competence Framework and Research Report, rapport, Berlin, Hochschulforum Digitalisierung, 53, 2020. Available at: https://zenodo. org/record/3946067 [10] M. J., Page, J. E., McKenzie, P. M., Bossuyt, I., Boutron, T. C., Hoffmann, C. D Mulrow., ... and D. Moher, The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. bmj, 372. 2021 [11] S. J. Yates, E. Carmi, E. Lockley, B. Wessels, and A. Pawluczuk. Me and my Big Data: Understanding Citizens Data Literacies Research Report (p. 108) 2021. University of Liverpool. https://www.liverpool.ac.uk/media/livacuk/humanitiesampsocialsciences/meandmybiddata/Understanding,Citizens,Data,Literacies,Research,Report,Final.pdf [12] A. Gouseti, I. Bruni, L. Ilomäki, M. Lakkala, D. Mundy, J. Raffaghelli, ... & T. Romeu, T. Critical Digital Literacies framework for educators-DETECT project Report 1.: Developing Teachers’ Critical Digital Literacies (DETECT) project, Erasmus+, KA2, European Union, 2021. [13] L. Pangrazio, and N. Selwyn, ‘Personal data literacies’: A critical literacies approach to enhancing understandings of personal digital data. New Media & Society, 2019, 21(2), 419–437. [14] Promoting Students' Data Literacy through the Creation of Interactive Multimodal Representations of Biometric Data. 2024. https://www.nsf.gov/awardsearch/showAward?AWD_ID=2241751&HistoricalAwards=false ID: 156
/ ITHET 08: 5
ITHET (Abstract first then Full Paper) Topics: Innovative uses of technology for teaching and learning within higher education and training Keywords: personalized learning, adapted learning, system's view of e-learning success, evaluation of personalized/adaptive learning Personalized/Adaptive Learning Empirical Research: Issues and Variables that Matter *Note: Sub-titles are not captured in Xplore and should not be used Southeast Missouri State University, United States of America Bibliography
Eom, S. (2023). Dynamic Interaction Model of E-learning and Readiness, Self-regulated Learning, and Student Student Dialogue to Assess E-learning Effectiveness. Mediterranean Conference on Information Systems (MCIS), Eom, S. (2023, July 10 – 13). Mobile Device Use: Its Moderating Effects of Motivation on Perceived Learning Outcomes. 2023 IEEE International Conference on Advanced Learning Technologies (ICALT), Orem, Utah, USA. Eom, S., Amroune, M., Khediri, A., & Laour, M. R. (2024). Roles of Machine Learning and Deep Learning for Supporting E-Learning Processes and Learning Outcomes through The Lens Of System's View of E-Learning Success Model, Amercas Conference on Inforation Systems, Salt Lake City USA, August 2024 Eom, S., & Ashill, N. J. (2023). Learning Outcomes and Learner Satisfaction: The Mediating Roles of Self-regulated Learning and Dialogues. Journal of International Technology and Information Management 32(1), Article 1. https://doi.org/https://doi.org/10.58729/1941-6679.1557 Eom, S. B. (2023). The Effects of The Use of Mobile Devices on The E-Learning Process and Perceived Learning Outcomes in University Online Education. E-learning and Digital Media, 20(1), 80–101. https://doi.org/10.1177/20427530221107775 Samet, S., Laouar, M. R., Bendib, I., & Eom, S. (2023). Analysis and Prediction of Diabetes Disease Using Machine Learning Methods. International Journal of Decision Support System Technology, 14(1). | ||
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