| 研究生: |
黃聖博 Huang, Sheng-Bo |
|---|---|
| 論文名稱: |
互動性平台對於大學生程式設計的影響 Interactive e-Learning Platform’s Impact on the Programming Skill to University Students |
| 指導教授: |
賴槿峰
Lai, Chin-Feng |
| 學位類別: |
博士 Doctor |
| 系所名稱: |
工學院 - 工程科學系 Department of Engineering Science |
| 論文出版年: | 2023 |
| 畢業學年度: | 111 |
| 語文別: | 英文 |
| 論文頁數: | 72 |
| 中文關鍵詞: | 資訊素養 、計算機思維 、互動式學習平台 、學習動機 |
| 外文關鍵詞: | ICT literacy, Computational thinking, Interactive e-learning platform, Learning motivation |
| 相關次數: | 點閱:44 下載:9 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
現今數位化的時代,資訊和通訊技術(ICT)的概念已經融入人們的日常生活之中,這也顯示具有資訊和通訊技術相關的技能,對於大學生以及未來的職業生涯有著高度的關聯,因此程式設計是他們大學期間最重要的課程,程式設計課程不僅培養學生電腦科學的技能,而且還能夠培養學生的運算思維(CT)、解決問題能力和批判性思維,這些能力對於現今數位化時代是不可缺少的。然而電腦科學是培養學生運算思維能力的一種好方法,但教學生學習程式設計並不是一件容易的事,因為程式設計是一種專業能力,也需要一定的基礎知識,這也顯示出程式設計對初學者學習具有一定的難度,因此,學習者在練習程式設計時,很容易會遇到很多錯誤訊息,而這也會影響學生的學習動機,以至於降低他們的學習參與度。
然而,為了提高學生的ICT素養,本研究提出了兩個互動式學習平台和學習活動設計,以探討學生的學習成績和參與度的變化。1)即時程式設計教學輔助系統,該系統整合了即時回饋模組、異常檢測模組、使用者收集模組和過濾模組,因此本系統會持續監測學生的錯誤資訊,並在學生遇到錯誤訊息時提供一些建議,以讓學生作為學習上的參考。2)做筆記的互動式學習平台,在本實驗中,此系統具有資源分享和社交模組等功能,以刺激學生的互動,此外,為了讓學生有更多與同儕交流的機會,系統也將學習活動作為教學設計的一部分,因此教學設計以同儕學習理論做為基礎,並將教學設計與同儕學習理論相結合,形成本實驗的實驗設計,除此之外,在課程中也設計了一系列的學習活動,以觀察本實驗中學生的學習動機和學習成效的變化。整體而言,二個互動式學習平台中都將整合不同的教學策略並融入到課程中,收集資料來分析二個互動式學習平台對學生的影響。綜上所述,二個互動式學習平台的設計對學生的學習成效產生了正向的顯著的差異。另一方面,結果顯示也指出二個互動式學習平台對學習參與度都有正向的影響,但沒有達到顯著差異。
In the digital age, Information and Communication Technology (ICT) is used in every aspect of people's daily lives. ICT-related skills are critical for university students to succeed in their academic lives and future careers. Software programming is one of the most important trainings during their university studies. It not only teaches students computer science skills but also develops students' computational thinking (CT), problem-solving, and critical thinking. These capabilities are beneficial to a better life in this digital time. Although computer science is an effective tool to develop students' computational thinking skills, teaching students to learn software programming is not an easy task. It involves a high level of expertise and requires a certain level of basic knowledge. This highlights the challenges of learning software programming for beginners. Learners will encounter many error messages when practicing coding, which can make students feel unmotivated and reduce their learning engagement.
To improve students' ICT literacy, this study proposes two interactive e-learning platforms and learning activity designs to explore the changes in students' learning performance and engagement. (1) A real-time programming teaching support system: This system integrates a real-time response module, an exception detection module, a user collection module, and a filter module. Therefore, the system will continuously monitor students' error messages and provide suggestions to students as a reference when they encounter them. (2) A note-taking interactive e-learning platform. In this experiment, the system displays resource sharing and social modules to stimulate student interaction. To provide students with more opportunities to communicate with their peers, the system includes learning activities as part of the instructional design. The instructional design integrates instructional design and peer learning theory to form the experimental design of this experiment. Moreover, a series of learning activities were arranged in the curriculum to observe the changes in students' motivation and academic performance in this experiment. Each interactive e-learning platform incorporates different instructional strategies into the curriculum. Data were collected to analyze the impact of each interactive e-learning platform on students. The design of the two interactive e-learning platforms had a positive and significantly different impact on students' learning performance. On the other hand, the results indicate that each interactive e-learning platform positively impacted learning engagement but did not reach a significant difference.
Aleksić, V., & Ivanović, M. (2016). Introductory Programming Subject in European Higher Education. Informatics in Education, 15(2).
Anderson, T. (Ed.). (2008). The theory and practice of online learning. Athabasca University Press.
Atinafu, B. (2021). Higher Education Students' Social Media Literacy in Ethiopia: A Case of Bahir Dar University. Journal of Media Literacy Education, 13(3), 86-96.
Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is involved and what is the role of the computer science education community? ACM Inroads, 2(1), 48–54.
Bau, D., Gray, J., Kelleher, C., Sheldon, J., & Turbak, F. (2017). Learnable programming: blocks and beyond. Communications of the ACM, 60(6), 72-80.
Bell, T., Andreae, P., & Robins, A. (2014). A case study of the introduction of computer science in NZ schools. ACM Transactions on Computing Education (TOCE), 14(2), 1-31.
Blasco-Arcas, L., Buil, I., Hernández-Ortega, B., & Sese, F. J. (2013). Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance. Computers & Education, 62, 102-110.
Bohay, M., Blakely, D. P., Tamplin, A. K., & Radvansky, G. A. (2011). Note taking, review, memory, and comprehension. The American journal of psychology, 124(1), 63-73.
Bolkan, S. (2015). Intellectually stimulating students' intrinsic motivation: The mediating influence of affective learning and student engagement. Communication Reports, 28(2), 80-91.
Broadbent, J., & Lodge, J. (2021). Use of live chat in higher education to support self-regulated help seeking behaviours: a comparison of online and blended learner perspectives. International Journal of Educational Technology in Higher Education, 18(1), 1-20.
Bui, D. C., Myerson, J., & Hale, S. (2013). Note-taking with computers: Exploring alternative strategies for improved recall. Journal of Educational Psychology, 105(2), 299.
Bui, D. C., Myerson, J., & Hale, S. (2013). Note-taking with computers: Exploring alternative strategies for improved recall. Journal of Educational Psychology, 105(2), 299.
Carretero, S., Vuorikari, R., & Punie, Y. (2017). The digital competence framework for citizens. Publications Office of the European Union.
Chang, W. C., & Ku, Y. M. (2015). The effects of note-taking skills instruction on elementary students’ reading. The Journal of Educational Research, 108(4), 278-291.
Chen, R. C., Chen, S. Y., Fan, J. Y., & Chen, Y. T. (2012). Grouping partners for cooperative learning using genetic algorithm and social network analysis. Procedia Engineering, 29, 3888-3893.
Chien, Y. T., Lee, Y. H., Li, T. Y., & Chang, C. Y. (2015). Examining the effects of displaying clicker voting results on high school students’ voting behaviors, discussion processes, and learning outcomes. Eurasia Journal of Mathematics, Science and Technology Education, 11(5), 1089-1104.
Chu, Y. H., Hsu, S. M., Chang, C. C., & Hsu, S. H. (2020). An economy-wide assessment of artificial intelligence investment on manufacturing: a case study of Taiwan’s semiconductor and ICT industries. Modern Economy, 11(5), 1040-1052.
Cooper, K. S. (2014). Eliciting engagement in the high school classroom: A mixed-methods examination of teaching practices. American Educational Research Journal, 51(2), 363-402.
Cooper, S., Dann, W., & Pausch, R. (2000). Alice: a 3-D tool for introductory programming concepts. Journal of computing sciences in colleges, 15(5), 107-116.
Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking-A guide for teachers.
Csizmadia, A., Standl, B., & Waite, J. (2019). Integrating the constructionist learning theory with computational thinking classroom activities. Informatics in Education, 18(1), 41-67.
da Silva, L. M., Dias, L. P. S., Rigo, S., Barbosa, J. L. V., Leithardt, D. R., & Leithardt, V. R. Q. (2021). A literature review on intelligent services applied to distance learning. Education Sciences, 11(11), 666.
Daniels, L. M., Goegan, L. D., & Parker, P. C. (2021). The impact of COVID-19 triggered changes to instruction and assessment on university students’ self-reported motivation, engagement and perceptions. Social Psychology of Education, 24(1), 299-318.
Dougherty, D. (2012). The maker movement. Innovations: Technology, governance, globalization, 7(3), 11-14.
Falkner, K., Vivian, R., & Williams, S. A. (2018). An ecosystem approach to teacher professional development within computer science. Computer Science Education, 28(4), 303-344.
Ferrari, A., & Punie, Y. (2013). DIGCOMP: A framework for developing and understanding digital competence in Europe.
Ferrer, J., Ringer, A., Saville, K., A Parris, M., & Kashi, K. (2020). Students’ motivation and engagement in higher education: The importance of attitude to online learning. Higher Education, 1-22.
Fisher, D., & Frey, N. (2019). Peer Tutoring:“To Teach Is to Learn Twice”. Journal of Adolescent & Adult Literacy, 62(5), 583-586.
Fitriati, S. W. (2016). PSYCHOLOGICAL PROBLEMS FACED BY THE YEAR –ELEVEN STUDENTS OF MA NUHAD DEMAK IN SPEAKING ENGLISH. English Education Journal, 6(1).
Fletcher, G. H., & Lu, J. J. (2009). Education Human computing skills: rethinking the K-12 experience. Communications of the ACM, 52(2), 23-25.
Fletcher, G. H., & Lu, J. J. (2009). Education Human computing skills: rethinking the K-12 experience. Communications of the ACM, 52(2), 23-25.
Fotaris, P., Mastoras, T., Leinfellner, R., & Rosunally, Y. (2016). Climbing up the Leaderboard: An Empirical Study of Applying Gamification Techniques to a Computer Programming Class. Electronic Journal of e-learning, 14(2), 94-110.
Fraillon, J., Ainley, J., Schulz, W., Friedman, T., & Duckworth, D. (2020). Preparing for life in a digital world: IEA international computer and information literacy study 2018 international report (p. 297). Springer Nature.
Fraser, N. (2015, October). Ten things we've learned from Blockly. In 2015 IEEE Blocks and Beyond Workshop (Blocks and Beyond) (pp. 49-50). IEEE.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of educational research, 74(1), 59-109.
Gao, Q. (2021). Professional development and ICT literacy of college teachers based on FPGA and image target recognition education. Microprocessors and Microsystems, 80, 103349.
García-Peñalvo, F. J., & Cruz-Benito, J. (2016, November). Computational thinking in pre-university education. In Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 13-17).
Giannakos, M. N., Pappas, I. O., Jaccheri, L., & Sampson, D. G. (2017). Understanding student retention in computer science education: The role of environment, gains, barriers and usefulness. Education and Information Technologies, 22(5), 2365-2382.
Gnambs, T. (2021). The development of gender differences in information and communication technology (ICT) literacy in middle adolescence. Computers in Human Behavior, 114, 106533.
Gomoll, A., Hmelo-Silver, C. E., Šabanović, S., & Francisco, M. (2016). Dragons, ladybugs, and softballs: Girls’ STEM engagement with human-centered robotics. Journal of Science Education and Technology, 25(6), 899-914.
Google (2015). Exploring Computational Thinking. Retrieved from https://edu.google.com/resources/programs/exploring-computational-thinking/#!ct-overview
Gretter, S., & Yadav, A. (2016). Computational thinking and media & information literacy: An integrated approach to teaching twenty-first century skills. TechTrends, 60, 510-516.
Guo, Y. (2018). The Influence of Academic Autonomous Motivation on Learning Engagement and Life Satisfaction in Adolescents: The Mediating Role of Basic Psychological Needs Satisfaction. Journal of Education and Learning, 7(4), 254-261.
Hambrusch, S., Hoffmann, C., Korb, J. T., Haugan, M., & Hosking, A. L. (2009). A multidisciplinary approach towards computational thinking for science majors. ACM SIGCSE Bulletin, 41(1), 183-187.
Harlow, D. B., Dwyer, H. A., Hansen, A. K., Iveland, A. O., & Franklin, D. M. (2018). Ecological Design-Based Research for Computer Science Education: Affordances and Effectivities for Elementary School Students. Cognition and instruction, 36(3), 224-246.
Hayitov, U. H. (2020). ICT literacy of secondary school teachers. European Journal of Research and Reflection in Educational Sciences, 8(9).
Hijriyah, E. M., Darmawan, E., & Zamzami, M. R. A. (2018). Enhancing Biology Students Motivation Through Classroom Action Research Based STAD Learning Model. Indonesian Journal of Biology Education, 1(1), 9-16.
Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M., & Reese, G. (2015). Supporting all learners in school-wide computational thinking: A cross-case qualitative analysis. Computers & Education, 82, 263-279.
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255-260.
Juškevičienė, A., & DagienĖ, V. (2018). Computational thinking relationship with digital competence. Informatics in Education, 17(2), 265-284.
Kelleher, C., & Pausch, R. (2005). Lowering the barriers to programming: A taxonomy of programming environments and languages for novice programmers. ACM Computing Surveys (CSUR), 37(2), 83-137.
Keller, J. M. (1983). Motivational design of instruction. In C. M. Regality (Ed.), Instructional design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum. 384-434.
Keller, J. M. (2006). Development of two measures of learner motivation. Unpublished Manuscript in progress. Florida State University.
Khan, T., Johnston, K., & Ophoff, J. (2019). The impact of an augmented reality application on learning motivation of students. Advances in Human-Computer Interaction, 2019.
Khan, T., Johnston, K., & Ophoff, J. (2019). The impact of an augmented reality application on learning motivation of students. Advances in Human-Co
Kim, H. S., Ahn, S. H., & Kim, C. M. (2019). A new ICT literacy test for elementary and middle school students in republic of Korea. The Asia-Pacific Education Researcher, 28(3), 203-212.
Kim, H. S., Kil, H. J., & Shin, A. (2014). An analysis of variables affecting the ICT literacy level of Korean elementary school students. Computers & Education, 77, 29-38.
Kim, Han Sung, et al. "Extending computational thinking into information and communication technology literacy measurement: Gender and grade issues." ACM Transactions on Computing Education (TOCE) 21.1 (2021): 1-25.
Kirschner, P., Strijbos, J. W., Kreijns, K., & Beers, P. J. (2004). Designing electronic collaborative learning environments. Educational technology research and development, 52(3), 47-66.
Klašnja-Milićević, A., Vesin, B., & Ivanović, M. (2018). Social tagging strategy for enhancing e-learning experience. Computers & Education, 118, 166-181.
Lai, C. F., Jeng, Y. L., & Huang, S. B. (2020). Improving programming skills: the use of learning style theory and the instant response supplement tool. Library Hi Tech.
Lau, W. W., & Yuen, A. H. (2014). Developing and validating of a perceived ICT literacy scale for junior secondary school students: Pedagogical and educational contributions. Computers & Education, 78, 1-9.
Lee, S. J., & Chae, Y. G. (2012). Balancing participation and risks in children's internet use: The role of internet literacy and parental mediation. Cyberpsychology, Behavior, and Social Networking, 15(5), 257-262.
Lin, P. Y., Chai, C. S., Jong, M. S. Y., Dai, Y., Guo, Y., & Qin, J. (2021). Modeling the structural relationship among primary students’ motivation to learn artificial intelligence. Computers and Education: Artificial Intelligence, 2, 100006.
Linder, S. P., Abbott, D., & Fromberger, M. J. (2006). An instructional scaffolding approach to teaching software design. Journal of Computing Sciences in Colleges, 21(6), 238-250.
Margulieux, L. E., & Catrambone, R. (2021). Scaffolding problem solving with learners’ own self explanations of subgoals. Journal of Computing in Higher Education, 33, 499-523.
Marwan, S., Gao, G., Fisk, S., Price, T. W., & Barnes, T. (2020). Adaptive immediate feedback can improve novice programming engagement and intention to persist in computer science. In Proceedings of the 2020 ACM conference on international computing education research (pp. 194-203).
Nguyen, T. D., Cannata, M., & Miller, J. (2018). Understanding student behavioral engagement: Importance of student interaction with peers and teachers. The Journal of Educational Research, 111(2), 163-174.
O'donnell, A. M., & King, A. (2014). Cognitive perspectives on peer learning. Routledge.
Pilkington, C. (2018). A playful approach to fostering motivation in a distance education computer programming course: Behaviour change and student perceptions. The International Review of Research in Open and Distributed Learning, 19(3).
Pinto-Llorente, A. M., Martín, S. C., González, M. C., & García-Peñalvo, F. J. (2016). Developing computational thinking via the visual programming tool: Lego Education WeDo. In Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 45-50).
Price, M., Handley, K., Millar, J., & O'donovan, B. (2010). Feedback: all that effort, but what is the effect?. Assessment & Evaluation in Higher Education, 35(3), 277-289.
Puspitarini, Y. D., & Hanif, M. (2019). Using Learning Media to Increase Learning Motivation in Elementary School. Anatolian Journal of Education, 4(2), 53-60.
Puspitarini, Y. D., & Hanif, M. (2019). Using Learning Media to Increase Learning Motivation in Elementary School. Anatolian Journal of Education, 4(2), 53-60.
Rahmat, M., Shahrani, S., Latih, R., Yatim, N. F. M., Zainal, N. F. A., & Ab Rahman, R. (2012). Major problems in basic programming that influence student performance. Procedia-Social and Behavioral Sciences, 59, 287-296.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary educational psychology, 25(1), 54-67.
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary educational psychology, 61, 101860.
Sadera, W. A., Robertson, J., Song, L., & Midon, M. N. (2009). The role of community in online learning success. Journal of Online Learning and Teaching, 5(2), 277-284.
Salame, I. I., & Thompson, A. (2020). Students' Views on Strategic Note-Taking and Its Impact on Performance, Achievement, and Learning. International Journal of Instruction, 13(2), 1-16.
Santos, G. M., Ramos, E. M., Escola, J., & Reis, M. J. (2019). ICT Literacy and School Performance. Turkish Online Journal of Educational Technology-TOJET, 18(2), 19-39.
Scherer, R., & Siddiq, F. (2019). The relation between students’ socioeconomic status and ICT literacy: Findings from a meta-analysis. Computers & Education, 138, 13-32.
Scott, M. (2015). Self-Beliefs in the Introductory Programming Lab and Games-based Fantasy Role-Play (Doctoral dissertation, Brunel University).
Shi, Y., Tong, M., & Long, T. (2021). Investigating relationships among blended synchronous learning environments, students’ motivation, and cognitive engagement: A mixed methods study. Computers & Education, 168, 104193.
Shih, T. K., Gunarathne, W. K. T. M., Ochirbat, A., & Su, H. M. (2018). Grouping Peers Based on Complementary Degree and Social Relationship using Genetic Algorithm. ACM Transactions on Internet Technology (TOIT), 19(1), 2.
Shyr, W. J., Hsieh, Y. M., & Chen, C. H. (2021). The Effects of Peer-Based Instant Response System to Promote Learning Performance, Intrinsic Motivation and Self-Efficacy. Sustainability, 13(8), 4320.
Sinha, S., Rogat, T. K., Adams-Wiggins, K. R., & Hmelo-Silver, C. E. (2015). Collaborative group engagement in a computer-supported inquiry learning environment. International Journal of Computer-Supported Collaborative Learning, 10(3), 273-307.
Smith, J., Guimond, F. A., Bergeron, J., St-Amand, J., Fitzpatrick, C., & Gagnon, M. (2021). Changes in students’ achievement motivation in the context of the COVID-19 pandemic: A function of extraversion/introversion?. Education Sciences, 11(1), 30.
Starr-Glass, D. (2020). Encouraging engagement: video-conference augmentation of online distance learning environments. On the Horizon.
Su, C. Y., & Chen, C. H. (2018). Investigating the effects of flipped learning, student question generation, and instant response technologies on students’ learning motivation, attitudes, and engagement: A structural equation modeling. EURASIA Journal of Mathematics, Science and Technology Education, 14(6), 2453-2466.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
Witherby, A. E., & Tauber, S. K. (2019). The current status of students’ note-taking: Why and how do students take notes?. Journal of Applied Research in Memory and Cognition, 8(2), 139-153.
Wu, H., Li, S., Zheng, J., & Guo, J. (2020). Medical students’ motivation and academic performance: the mediating roles of self-efficacy and learning engagement. Medical education online, 25(1), 1742964.
Wulandari, N. A., Amalia, S., & Ramdhani, M. I. (2022). Investigating speaking difficulties of senior high school students: linguistics and psychological problems. ENGLISH FRANCA: Academic Journal of English Language and Education, 6(1), 151-166.
YILDIRIM, O. G., & OZDENER, N. (2022). The Development and Validation of the Programming Anxiety Scale. International Journal of Computer Science Education in Schools, 5(3), 17-34.
Yıldırım, T., & Canpolat, N. (2019). An investigation of the effectiveness of the peer instruction method on teaching about solutions at the high-school level. Egitim ve Bilim, 44(199).
Yuan-Tai-Ke. (2021). National Science and Technology Development Plan. Extracts from https://www.nstc.gov.tw/nstc/attachments/fd10ecfa-f319-44fe-8058-f379d3de22c2.
Yuliana, I., Hermawan, H. D., Prayitno, H. J., Ratih, K., Adhantoro, M. S., Hidayati, H., & Ibrahim, M. H. (2021). Computational Thinking Lesson in Improving Digital Literacy for Rural Area Children via CS Unplugged. In Journal of Physics: Conference Series (Vol. 1720, No. 1, p. 012009). IOP Publishing.
Zachos, G., Paraskevopoulou-Kollia, E. A., & Anagnostopoulos, I. (2018). Social media use in higher education: A review. Education Sciences, 8(4), 194.
Zeinstra, L., Kupers, E., Loopers, J., & de Boer, A. (2023). Real-time teacher-student interactions: The dynamic interplay between need supportive teaching and student engagement over the course of one school year. Teaching and Teacher Education, 121, 103906.
Zou, T. X., Ko, E. I., & Mickleborough, N. (2012). Promoting multi-layered peer learning in a course on engineering grand challenges. Procedia-Social and Behavioral Sciences, 56, 74-87.