Journal of Engineering Education Transformations

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Learning Analytics: Gamification in Flipped Classroom for Higher Education


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1 Vellore Institute of Technology, Chennai Campus, Tamil Nadu, India
     

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The Flipped classroom is an innovative pedagogical model that has been adopted in various colleges across different disciplines. The Flipped classroom allows the students to actively participate and collaborate during in-class activities. The measure of learner's performance, cognitive skills, and behaviour is essential in any teaching-learning process to assess and improvise the curriculum, syllabus, learning methodology, and educational technology. In this research work, various innovative teaching models suitable for Gen Z learners have been experimented with. These models included a virtual classroom, laboratory sessions, and flipped classrooms that were compared with the traditional classroom approach. A new model “CAM-S” is proposed to measure the Cognitive, Affective, and Motivational traits and identify slow learners. Learning analytics using the K-Means clustering algorithm is performed to analyze the behaviour and learning patterns of the learners in these pedagogical models. From the clusters obtained, the students were categorized into 3 different groups based on their performances. The result obtained after the analysis shows that Flipped Classroom has better learner performances when compared with the other pedagogical methodologies. Additionally, separate questionnaires are also created to obtain feedback from the students about their experiences with the 3 pedagogical techniques used. Even the behavioural models are analyzed using the gaming environment in the flipped classroom.

Keywords

Blended Learning, Clustering algorithm, Flipped Classroom, Gamification, Learning Analytics.
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  • Abu-Eisheh, S. A., & Ghanim, M. S. (2022). Improving senior-level students’ performance in Traffic Systems Management using multimedia content. Ain Shams Engineering Journal, 13(1), 101511.

  • A h s h a n , R . ( 2 0 2 1 ) . A f r a m e w o r k o f implementing strategies for active student engagement in remote/online teaching and learning during the COVID-19 pandemic. Education Sciences, 11(9), 483.

  • Aksoy, B., & Pasli Gurdogan, E. (2022). Examining effects of the flipped classroom approach on motivation, learning strategies, urinary system knowledge, and urinary catheterization skills of first‐year nursing students. Japan Journal of Nursing Science, e12469.

  • Aşıksoy, G. (2018). The effects of the gamified flipped classroom environment (GFCE) on students’ motivation, learning achievements and perception in a physics course. Quality & Quantity, 52(1), 129-145.

  • Awidi, I. T., & Paynter, M. (2019). The impact of a flipped classroom approach on student learning experience. Computers & Education, 128, 269- 283.

  • Blackmore, C., Vitali, J., Ainscough, L., Langfield, T., & Colthorpe, K. (2021). A Review of Self-Regulated Learning and Self-Efficacy: The Key to Tertiary Transition in Science, Technology, Engineering and Mathematics (STEM). International Journal of Higher Education, 10(3), 169-177.

  • Bulusu, A., & Rao, K. R. (2021, November). Sentiment Analysis of Learner Reviews to improve efficacy of Massive Open Online Courses (MOOC’s)-A Survey. In 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (pp. 933-941). IEEE.

  • Camacho-Morles, J., Slemp, G. R., Pekrun, R., Loderer, K., Hou, H., & Oades, L. G. (2021). Activity achievement emotions and academic performance: A meta-analysis. Educational Psychology Review, 33(3), 1051-1095.

  • Carvalho, A. R., & Santos, C. (2022). Developing peer mentors’ collaborative and metacognitive skills with a technology-enhanced peer learning program. Computers and Education Open, 3, 100070.

  • De Carvalho, C. V., & Coelho, A. (2022). Game- Based Learning, Gamification in Education and Serious Games. Computers, 11(3), 36.

  • Díaz-Ramírez, J. (2020). Gamification in engineering education–An empirical assessment on learning and game performance. Heliyon, 6(9), e04972.

  • Durrani, U., Hujran, O., & Al-Adwan, A. S. (2022). CrossQuestion Game: A Group-Based Assessment for Gamified Flipped Classroom E x p e r i e n c e U s i n g t h e A R C S M o d e l . Contemporary Educational Technology, 14(2), ep355.

  • Eichler, J. F. (2022). Future of the Flipped C l a s s r o o m i n C h e m i s t r y E d u c a t i o n : Recognizing the Value of Independent Preclass Learning and Promoting Deeper Understanding of Chemical Ways of Thinking During In-Person Instruction. Journal of Chemical Education.

  • Espada, M., Navia, J. A., Rocu, P., & Gómez- López, M. (2020). Development of the Learning to Learn Competence in the University Context: Flipped Classroom or Traditional Method? Research in Learning Technology, 28.

  • Fahim, A. (2020). Finding the number of clusters in data and better initial centers for K-means algorithm. Int. J. Intell. Syst. Appl, 12(6), 1-20.

  • Hasan, Ã., Kanbul, S., & Ozdamli, F. (2018). Effects of the gamification-supported flipped classroom model on the attitudes and opinions regarding game-coding education. International Journal of Emerging Technologies in Learning (iJET), 13(1), 109-123.

  • Huang, B., & Hew, K. F. (2018). Implementing a theory-driven gamification model in higher education flipped courses: Effects on out-ofclass activity completion and quality of artifacts. Computers & Education, 125, 254-272.

  • Jääskä, E., & Aaltonen, K. (2022). Teachers’ experiences of using game-based learning methods in project management higher education. Project Leadership and Society, 100041.

  • Kanyanina, T. I., Krupoderova, Е. P., Klepikov, V. B., & Stepanova, S. Y. (2020). Continuous development of teachers’ ICT competence through formal and informal advanced training. development, 2013, 4.

  • Khairul Anhar Holder, N. A., Foong, C. C., & Nik Nazri, N. N. (2022). Gamification of Education and Peer Tutoring: Using Socrative for Group-Based Assessment of Knowledge and Behaviour. In Alternative Assessments in Malaysian Higher Education (pp. 251-257). Springer, Singapore.

  • Li, M., Ge, M., Zhao, H., & An, Z. (2022). Modeling and Analysis of Learners’ Emotions and Behaviors Based on Online Forum Texts. Computational Intelligence and Neuroscience, 2022.

  • Lin, Y. T. (2019). Impacts of a flipped classroom with a smart learning diagnosis system on students' learning performance, perception, and problem-solving ability in a software engineering course. Computers in Human Behavior, 95, 187-196.

  • Liu, D., & Zhang, H. (2022). Improving Students’ Higher Order Thinking Skills and Achievement Using WeChat based Flipped Classroom in Higher Education. Education and Information Technologies, 1-22.

  • Lobe, B., & Morgan, D. L. (2021). Assessing the effectiveness of video-based interviewing: a systematic comparison of video-conferencing based dyadic interviews and focus groups. International journal of social research methodology, 24(3), 301-312.

  • Lopes, S. F. S. F., & Simões, J. M. D. A. P. (2022). The Gamification in Online Environments in the Context of the Flipped Classroom. In Online Distance Learning Course Design and Multimedia in E-Learning (pp. 165-187). IGI Global.

  • Lundin, M., Bergviken Rensfeldt, A., Hillman, T., Lantz-Andersson, A., & Peterson, L. (2018). Higher education dominance and siloed knowledge: a systematic review of flipped classroom research. International Journal of Educational Technology in Higher Education, 15(1), 1-30.

  • Lwande, C., Muchemi, L., & Oboko, R. (2021). Identifying learning styles and cognitive traits in a learning management system. Heliyon, 7(8), e07701.

  • Naik, A. S., Kathavate, P. N., & Metagar, S. M. (2022). Nearpod: An Effective Interactive ICT Tool for Teaching and Learning Through Google Meet. In IOT with Smart Systems (pp. 269-276). Springer, Singapore.

  • Odikpo, C. (2022). Undergraduate Students’ Perceptions of Games and Simulations as Teaching Tools in Higher Education (Doctoral dissertation, Capella University).

  • Oliveira, H., Sanches, T., & Martins, J. (2022). Problem-based learning in a flipped classroom: a case study for active learning in legal education in international law. The Law Teacher, 1-17.

  • Priyaadharshini, M., & Vinayaga Sundaram, B. (2018). Evaluation of higher‐order thinking skills using learning style in undergraduate engineering in flipped classroom. Computer Applications in Engineering Education, 26(6), 2237-2254.

  • Razali, N., Nasir, N. A., Ismail, M. E., Sari, N. M., & Salleh, K. M. (2020, September). Gamification elements in Quizizz applications: Evaluating the impact on intrinsic and extrinsic student’s motivation. In IOP Conference Series: Materials Science and Engineering (Vol. 917, No. 1, p. 012024). IOP Publishing.

  • Sabri, Z., FAKHRI, Y., & MOUMEN, A. (2022). The Effects of Gamification on E-learning Education: Systematic Literature Review and Conceptual Model. Statistics, Optimization & Information Computing, 10(1), 75-92.

  • Salshabella, D. C., Winatha, I. K., Ramadhan, G., Yulianto, R., & Rahmawati, F. (2022). Building Student Self-Directed Learning Through Virtual and Flipped Classroom.

  • Santikarn, B., & Wichadee, S. (2018). Flipping the Classroom for English Language Learners: A Study of Learning Performance and Perceptions. International Journal of Emerging Technologies in Learning, 13(9).

  • Sarmiento, J. P., & Wise, A. F. (2022, March). Participatory and Co-Design of Learning Analytics: An Initial Review of the Literature. In LAK22: 12th International Learning Analytics and Knowledge Conference (pp. 535-541).

  • Sharma, S., Rana, V., & Kumar, V. (2021). Deep learning based semantic personalized recommendation system. International Journal of Information Management Data Insights, 1(2), 100028.

  • Silva, A. S., Gonçalves, I. O., Rodrigues- Carvalho, J., Pinto, D., & Costa, J. (2022). I n n o v a t i v e P e d a g o g i c a l P r a c t i c e s : A Longitudinal Study Conducted at the ESE of Fafe, Portugal. In Perspectives and Trends in Education and Technology (pp. 841-851). Springer, Singapore.

  • Sojayapan, C., & Khlaisang, J. (2020). The effect of a flipped classroom with online group investigation on students' team learning ability. Kasetsart Journal of Social Sciences, 41(1), 28- 33.

  • Sun, Z., Xie, K., & Anderman, L. H. (2018). The role of self-regulated learning in students' success in flipped undergraduate math courses. The internet and higher education, 36, 41-53.

  • Taghani, A., & Razavi, M. R. (2021). The effect of metacognitive skills training of study strategies on academic self-efficacy and academic engagement and performance of female students in Taybad. Current Psychology, 1-9.

  • Tan, X., She, J., Chen, S., Ohno, S., & Kameda, H. (2021, July). Analysis of Student Learning Behavior based on Moodle Log Data. In 2021 14th International Conference on Human System Interaction (HSI) (pp. 1-4). IEEE.

  • Voloshynov, S. A., & Yurzhenko, A. Y. (2021). The use of digital technologies while the formation of professional competencies of future seafarers by means of LMS MOODLE.

  • Wirani, Y., Nabarian, T., & Romadhon, M. S. (2022). Evaluation of continued use on Kahoot! as a gamification-based learning platform from the perspective of Indonesia students. Procedia Computer Science, 197, 545-556.

  • Yang, K. C., & Kang, Y. (2022). The Effectiveness of Gamification on Student Engagement, Learning Outcomes, and Learning Experiences. In Research Anthology on Developments in Gamification and Game-Based Learning (pp. 1599-1618). IGI Global.

  • Yeh, Y. C. (2022). Student Satisfaction with Audio-Visual Flipped Classroom Learning: A Mixed-Methods Study. International Journal of Environmental Research and Public Health, 19(3), 1053.

  • Yildirim, D., & Gülbahar, Y. (2022). Implementation of Learning Analytics Indicators for Increasing Learners' Final Performance. Technology, Knowledge and Learning, 1-26.

  • Yildiz Durak, H. (2022). Role of personality traits in collaborative group works at flipped classrooms. Current Psychology, 1-21.

  • Yoo, J. E., Rho, M., & Lee, Y. (2022). Online Students’ Learning Behaviors and Academic Success: An Analysis of LMS Log Data From Flipped Classrooms via Regularization. IEEE Access, 10, 10740-10753.

  • Zhang, S. (2022). From Flipped/Blended to Fully Online: Lessons Learned and Strategies for the Future. In Teaching the Chinese Language Remotely (pp. 269-294). Palgrave Macmillan, Cham.


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  • Learning Analytics: Gamification in Flipped Classroom for Higher Education

Abstract Views: 140  |  PDF Views: 1

Authors

M. Priyaadharshini
Vellore Institute of Technology, Chennai Campus, Tamil Nadu, India
Monica Maiti
Vellore Institute of Technology, Chennai Campus, Tamil Nadu, India

Abstract


The Flipped classroom is an innovative pedagogical model that has been adopted in various colleges across different disciplines. The Flipped classroom allows the students to actively participate and collaborate during in-class activities. The measure of learner's performance, cognitive skills, and behaviour is essential in any teaching-learning process to assess and improvise the curriculum, syllabus, learning methodology, and educational technology. In this research work, various innovative teaching models suitable for Gen Z learners have been experimented with. These models included a virtual classroom, laboratory sessions, and flipped classrooms that were compared with the traditional classroom approach. A new model “CAM-S” is proposed to measure the Cognitive, Affective, and Motivational traits and identify slow learners. Learning analytics using the K-Means clustering algorithm is performed to analyze the behaviour and learning patterns of the learners in these pedagogical models. From the clusters obtained, the students were categorized into 3 different groups based on their performances. The result obtained after the analysis shows that Flipped Classroom has better learner performances when compared with the other pedagogical methodologies. Additionally, separate questionnaires are also created to obtain feedback from the students about their experiences with the 3 pedagogical techniques used. Even the behavioural models are analyzed using the gaming environment in the flipped classroom.

Keywords


Blended Learning, Clustering algorithm, Flipped Classroom, Gamification, Learning Analytics.

References