Shreeya Garg
ABSTRACT
Educators in a large classroom environment often face difficulties in carrying out in-class activities in a synchronized manner and use multiple platforms or resources to conduct these activities. They suffer from lack of student engagement as a significant concern. ALT (Active Learning and Teaching Application) is a minimalistic mobile-based application that uses Active Learning strategies to promote student engagement in class through live short quizzes, minute papers, and feedback. In this paper, we conduct an experiment using ALT's in-class quizzes and feedback to statistically gauge how the application could improve a class's engagement and understanding levels and validate the same.
Understanding and engagement levels were estimated based on the interaction and activities of students during lectures. These levels were quantified via calculated indexes. Motivated by previous literature, these indexes mainly depend on the response time, accuracy, number of times responses changed for in-class quizzes, delay in opening the quiz, etc. We present our statistical analysis, showing how the App can improve engagement and understanding levels. Results depict that students' higher understanding corresponds to better performance and activity parameters, but the relationship with engagement is far more complex. Our findings conclude that using ALT can effectively promote student engagement in a large classroom. Professors can also use these indexes to keep track of student engagement and evaluate different teaching methods.
- Ahmed Al-Azawei and Miami Al-Masoudy. 2020. Predicting Learners’ Performance in Virtual Learning Environment (VLE) based on Demographic, Behavioral and Engagement Antecedents. International Journal of Emerging Technologies in Learning (IJET) 15, 9 (2020), 60–75.Google Scholar
Cross Ref
- Brandi L Baldock, Anthony L Fernandez, Jimmy Franco, Brian A Provencher, and Mark R McCoy. 2021. Overcoming the challenges of remote instruction: Using mobile technology to promote active learning. Journal of Chemical Education 98, 3 (2021), 833–842.Google ScholarCross Ref
- Charles C Bonwell and James A Eison. 1991. Active learning: Creating excitement in the classroom. 1991 ASHE-ERIC higher education reports. ERIC.Google Scholar
- CHHM Heemskerk and L Malmberg. 2020. Students’ observed engagement in lessons, instructional activities, and learning experiences. Frontline Learning Research 8, 6 (2020).Google Scholar
- Chris Ding and Hanchuan Peng. 2005. Minimum redundancy feature selection from microarray gene expression data. Journal of bioinformatics and computational biology 3, 02 (2005), 185–205Google ScholarCross Ref
- Gavriel Salomon. 1990. Studying the flute and the orchestra: controlled vs. classroom research on computers. International Journal of Educational Research 14, 6 (1990), 521–531.Google ScholarCross Ref
- Jason R Frank, Linda S Snell, Olle Ten Cate, Eric S Holmboe, Carol Carraccio, Susan R Swing, Peter Harris, Nicholas J Glasgow, Craig Campbell, Deepak Dath, 2010. Competency-based medical education: theory to practice. Medical teacher 32, 8 (2010), 638–645Google Scholar
- Karen Wilson and James H. Korn. 2007. Attention during Lectures: Beyond Ten Minutes. Teaching of Psychology 34, 2 (2007), 85–89. https://doi.org/10.1080/00986280701291291 arXiv:https://doi.org/10.1080/00986280701291291Google ScholarCross Ref
- Md Shakeel Iqbal Saikia, Pankaj Kumar, Samit Bhattacharya, and Venkatesh Tamarapalli. 2016. Estimating attention and understanding level of students in a large classroom environment. In 2016 IEEE Eighth International Conference on Technology for Education (T4E). IEEE, 128–131.Google ScholarCross Ref
- Mehdi Mohammadi, Maryam Shafiei Sarvestani, and Sahar Nouroozi. 2020. Mobile phone use in education and learning by faculty members of technical-engineering groups: Concurrent mixed methods design. In Frontiers in Education, Vol. 5. Frontiers Media SA, 16.Google ScholarCross Ref
- Min Hu and Hao Li. 2017. Student engagement in online learning: A review. In 2017 International Symposium on Educational Technology (ISET). IEEE,39–43Google ScholarCross Ref
- René F Kizilcec and Maximillian Chen. 2020. Student engagement in mobile learning via text message. In Proceedings of the Seventh ACM Conference on Learning@ Scale. 157–166.Google ScholarDigital Library
- Shakeel Saikia, Pankaj Kumar, Samit Bhattacharya, and Venkatesh Tamarapalli. 2016. Estimating Attention and Understanding Level of Students in a Large Classroom Environment. 128–131. https://doi.org/10.1109/T4E.2016.033Google ScholarCross Ref
- Shouping Hu and Alexander C McCormick. 2012. An engagement-based student typology and its relationship to college outcomes. Research in Higher Education 53, 7 (2012), 738–754Google ScholarCross Ref
- Sithara HPW Gamage, Jennifer R Ayres, Monica B Behrend, and Elizabeth J Smith. 2019. Optimising Moodle quizzes for online assessments.International journal of STEM education 6, 1 (2019), 1–14.Google Scholar
- Stephen L Cheung. 2008. Using mobile phone messaging as a response medium in classroom experiments. The Journal of Economic Education 39, 1 (2008), 51–67.Google ScholarCross Ref
- Welch, Marshall, and Kerrilee Brownell. "The development and evaluation of a multimedia course on educational collaboration." Journal of Educational Multimedia and Hypermedia 9.3 (2000): 169-194Google Scholar
- William M Waite, Michele H Jackson, and Amer Diwan. 2003. The conversational classroom. ACM SIGCSE Bulletin 35, 1 (2003), 127–131.Google ScholarDigital Library
- Yi-Hsuan Lee and Yue Jia. 2014. Using response time to investigate students’ test-taking behaviors in a NAEP computer-based study. Large-scale Assessments in Education 2, 1 (2014), 1–24.Google ScholarCross Ref
Index Terms
- Mobile-Based Active Learning can Enhance Engagement in Classroom
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