學習過程是我們生活中的基礎。通過學習，它將形成一個人的性格和質量。一個優秀和正確的學習過程是實現學習目標的必要條件。當學生對目前的學習過程感到滿意時，學習目標可以得到很好的滿足。學習過程可以包括方法，模型和學習策略。已經傳播到整個行業的技術發展。技術的發展使得社區有興趣學習編程語言，但事實上，許多學習計算機的學生在解決問題和邏輯思考方面的能力較低，這是學習編程語言的基礎。由於不正確的學習過程可能會發生此問題。本研究希望在學習Swift編程語言時使用Moodle和概念圖檢查學生的態度。

參與者通過使用Google表單通過一些社交媒體分發註冊表來選擇。要求參與者填寫在研究結束之前遵循研究的意願。 34人正在註冊，但只有30人被宣布有效。作者使用Pearson相關，PLS和PLS Bootstrapping分析數據。結果表明，概念中感知有用因素是對學生態度影響最大的因素。雖然感知的信息質量因素不直接影響學生的態度。同時，感知易用性因素對學生態度有正向影響。它可以被概念化為學習Swift編程語言的學習平台和方法。

The learning process is fundamental in our life. Through learning, it will form the character and quality of a person. An excellent and correct learning process is a must in achieving the learning objectives. Learning goals can be met well when students are satisfied with the current learning process. The learning process can include methods, models, and learning strategies. Technological developments that have spread throughout the industry. Development of technology makes the community interest in learning programming language becomes higher, but in fact, many students who learn about computers have less ability in problem-solving and logical thinking which is the basis of learning programming languages. This problem may occur due to the improper learning process, the use of methods or models or learning strategies are wrong. This study wants to examine student’s attitude using Moodle and concept map in learning Swift programming language.

Participants were chosen by distributing the registration form through some social media using Google form. Participants are requested to fill the willingness to follow the research until the study ends. 34 people were registering, but only 30 were declared valid. The author uses Pearson-correlation, PLS and PLS Bootstrapping in analyzing the data. The results obtained that the perceived usefulness factor in the concept map is the factor that has the highest influence on student attitude. While the perceived service quality element is not directly influence on student attitude. Meanwhile, perceived ease of use factor has positive influence towards student attitude. It can be concluded that students will continue their learning activity with the use of the moodle concept map as a learning platform and method in learning Swift programming language.

Ajaja, O. P. (2011). Concept Mapping As a Study Skill: Effects on Students Achievement in Biology. Education & Science, 49-57.
Al-Adwan, A., & Smedley, J. (2013). Exploring students acceptance of e-learning using technology model in Jordanian universities Amer Al-Adwan applied science university, Jordan. International Journal of Education and Development Using Information and Communication Technology, 9(2), 4–18.
Aladwani, A. M., & Palvia, P. C. (2002). Developing and validating an instrument for measuring. Information & Management, 467–476.
Allport, G.W. (1935). Attitudes. In Handbook of social psychology. MA: Clark Univ, 798-844.
Al-Arimi, A. M.-K. (2014). Distance Learning. Social and Behaviour Science, 82-88.
Almahamid, McAdams2, Kalaldeh, & Al-Sa’eed (2005). The Relationship Between Perceived Usefulness, Perceived Ease of Use, Perceived Information Quality, And Intention to Use E-Governtment. Applied Information Technology.
Ausubel, D. P. (1968). Educational Psychology: A Cognitive View. New York: Holt, Rinehart & Winston.
Barnes, S., & Vidgen, R. (2000). WebQual: an exploration of website quality. ECIS 2000 Proceedings, 74.
Barron, A. B., Hebets, E. A., Cleland, T. A., Fitzpatrick, C. L., Hauber, M. E., & Jeffrey. (2015). Embracing multiple definitions of learning. Trends in Neurosciences, 405-407.
Batdi, V. (2015). A Meta-analysis Study of Mind Mapping Techniques and Traditional Learning Methods. Anthropologist, 62-68.
Beaumont, D. J. (2012). Service Quality in Higher Education: The Student's viewpoint. Manchester: University of manchester.
Becerra-Fernandez, I., & Sabherwal, R. (2010). Knowledge Management : Systems and Processes. New York: M. E. Sharpe.
Berry, L. L., & Parasuraman, A. (1992). Prescription for service quality. American Organizational Dynamics, 5-15.
Buttle, F. (1996). SERVQUAL: review, critique, research agenda. European Journal of Marketin, 30(1), 8-32.
Chiou, C.-C., & Huang, H.-S. (2012). Effects of multidimensional concept maps on fourth grader's learning in web-based computer course. Computers & Education, 863-873.
Chularut, P., & DeBacker, T. K. (2004). The influence of concept mapping on achievement, self regulation, and self-efficacy in students of English as a second language. Contemporary Educational Psychology,, 246-263.
Daley, B. J. (2004). Using Concept Maps with Adults Student in Higher Education. Proc. of the First Int. Conference on Concept Mapping (pp. 183-190). Pamplona: Conference on Concept Mapping.
Dalkir, K. (2005). Knowledge Management in Theory and Practice. Oxford: Elsevier Butterworth–Heinemann.
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Journal of Management Information System, 65-86.
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Journal of Management Information System, 65-86.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer
technology: a comparison of two theoretical models. Management Science,
35(8), 982e1003.
Davison, R. M., Martinsons, M. G., & Kock, N. F. (2004). Principles of canonical action research. Journal of Information System, 65-86.
Devedzic, V. (2006). Introduction to Web-Based Education. In V. Devedzic, Semantic Web and Education (pp. 1-28). USA: Springer.
Ekin, B., Sagir, Ş. U., & Saltan, F. (2016, 02 01). The Comparison on Evaluation of Concept Map and Structured Grid with Multiple-Choice Test. Retrieved from EBSCO Host: http://connection.ebscohost.com
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Freeman, L. A., & Jessup, L. M. (2004). The power and benefits of concept mapping: measuring use, usefulness, ease of use, and satisfaction. International Journal of Science Education, 151-169.
Ganyaupfu, E. M. (2013). Teaching Methods and Students’ Academic Performance . International Journal of Humanities and Social Science Invention, 29-35.
Gecer, A. (2013). Lecturer-Student Communication in Blended Learning Environments. Educational Sciences: Theory & Practic, 362-367.
Ghanbari, A., Paryad, E., & Ehsani, M. (2010). The Effectiveness of Conceptual Map Teaching Method on Short and Long Term Learning in Nursing Students . Journal of Medical Education Development Center , 113-119.
Guilford, J. P. (1978). Fundamental statistics in psychology and education. New York: McGraw-Hill Book Company.
Hasan, H. F., Ilias, A., Rahman, R. A., & Razak, M. Z. (2009). Service Quality and Student Satisfaction: A Case Study at Private Higher Education Institutions. International Business Research, 1, 163-175.
Hunter, J. E., & Schmidt, F. L. (2004). Method of Meta Analysis : Correcting error and bias in research findings. California: Sage Publications, Inc.
Joseph, M., & Joseph, B. (1997). Service quality in education: a student perspective. Quality Assurance in Education, 5(1), 15-21.
Kaddoura, M., VanDyke, O., & Shea-Foisy, K. (2016). Impact of concept mapping on the development of clinical judgment skills in nursing students. Teaching and Learning in Nursing, 101-107.
Kalelioglu, F., & Gulbahar, Y. (2014). The Effects of Teaching Programming via Scratch on Problem Solving Skills: A Discussion from Learners’ Perspective. Informatics in Education, 33-50.
Kalogiannakis, M. (2010). Training with ICT for ICT from the trainee’s perspective. A local ICT teacher training experience. Education and Information Technologies, 15 (1) (2010), pp. 3-17.
Kumar, M., & Rizwaan, M. (2013). Impact of Teaching through Concept mapping on Achievement in Social Studies’ Components. International Indexed & Refereed Research Journal, 54-57.
Lewin, K. (1946). Action Research and Minority Problems. Journal of social issues, 34-46.
Loewenthal, K. M. (2001). An introduction to psychological tests and scales. London: Psychology Press.
Marcos, A. G., Elias, F. A., Nalda, F. N., & Mere, J. O. (2016). Student evaluation of a virtual experience for project management learning : an empirical study for learning improvement. Computers & Education, 102, 172-187.
Martin, J., & Oxman, S. (1988). Building Expert System a Tutorial. New Jersey: Prentince Hall.
Matthews, B., & Ross, L. (2010). Research Methods: A Practical Guide for the Social Sciences. Harlow: Longman.
Mccrory, R. S. (2010). Online Learning in Higher Education: a review of research on interactions among teachers and student. Education Communication and Information, 241-280.
Merritt, D. (1989). Building Expert Systems in Prolog. Munich: Springer-Verlag.
Michigan Department of Education. (2006). MICHIGAN MERIT CURRICULUM GUIDELINES. MICHIGAN: Michigan Department of Education.
Minsky, M. (1974). A Framework for Representing Knowledge. In P. Winston, The Psychology of Computer Vision. 233-239.
Morgan, J.F. (1999). Eating Disorders and Gynecology: Knowledge and Attitudes among Clinicians., Acta Obstetricia et Gynecologica Scandinavica. Cambridge: McGraw-Hill.
M. Turner, B. Kitchenham, P. Brereton, S. Charters, D. Budgen, Does the technology acceptance model predict actual use? A systematic literature review, Information and Software Technology 52, 2010, pp. 463–479.
Novak, J. D. (2002). Meaningful learning: The essential factor for conceptual change in limited or appropriate propositional hierarchies (liphs) leading to empowerment of learners. Science Education, 548-571.
Novak, J. D., & Cañas, A. J. (2008). The Theory Underlying Concept Maps and How to Construct and Use Them. Institute for Human and Machine Cognition. Retrieved from http://cmap.ihmc.us/docs/pdf/TheoryUnderlyingConceptMaps.pdf
Novak, J. D. (2003). The promise of new ideas and new technology for improving teaching and learning. Journal of Cell Biology Education, 2(Summer), 122-132.
Osborne, J., Simon, S., & Collins, S. (2003). Attitudes towards science: A review of the literature and its implications. International Journal of Science Education, 25(9), 1049–1079.
Papadopoulos, Y., & Tegos, S. (2012). Using Microworlds to Introduce Programming to Novices. 16th Panhellenic Conference on Informatics, 180-185.
Parasuraman, A. P., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and its Implication for Future Research (SERVQUAL). Journal of Marketing, 41-45.
Parasuraman, A. P., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple- Item Scale for measuring consumer perceptions of service quality. Journal of Retailing, 12-40.
Santoso, B. S., Anwar, M. F., & Hermawati, S. (2015). Analysis Website Quality using WEBQUALdan Importance-Performance Analysis (IPA) in KASKUS website. National Conference on Information Technology and Technical Engineering (CITEE). Yogyakarta: CITEE.
Sanayei A, Salimian H. The analysis of effecting factors on virtual education acceptance with emphasis on internal factors. Technology Education. 2013; 7(4): 261-70.
Salari MM, Yaghmaei F, Mehdizade S, Vafadar Z, Afzali M. Factors related to accept of " e-learning" in nursing students. Educ Strateg Med Sci. 2009; 2(3): 103-8.
Sharma, S. (2012). Effect of Concept Mapping Strategy on the Learning outcome in Relation to Intelligence and study habits. International Multidisciplinary e-Journal, 44-52.
Sherry, L. (1995). Issues in Distance Learning. International Journal of Educational Telecommunications, 337-365.
Singh, P., & Anand, R. (2013, November 3). Service Quality Measurement in Education Sector. Retrieved from SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2438403
Stevenson, M. P., Hartmeyer, R., & Bentsen, P. (2017). Systematically reviewing the potential of concept mapping technologies to promote self-regulated learning in primary and secondary science education. Educational Research Review, 1-16.
Suarez, J. G. (2000). Theree expert in quality management. Arlington: Total Quality Leadership Office.
Sugiyono. (2008). Metode Penelitian Kunatitatif Kualitatif dan R&D. Bandung: Alfabeta.
Sujono, & Santoso, H. B. (2017, march). E-Learning Quality Analysis Of Use Of Web Conference In The Improvement. International Journal of Science and Technology (IJSTE), 8-14.
S. Park, An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Educational Technology & Society 12(3), 2009, pp. 150–162.
Taie, E. S. (2014). Concept Mapping as an Innovative Teaching Strategy to Enhance Cognitive Learning in Nursing Administration Course. International Journal for Innovation Education and Research , 11-25.
Teixeira PJ, Silva MN, Mata J, Palmeira AL, Markland D. Motivation, self‐determination, and long‐term weight control. Int J Behav Nutr Phys Act 2012;9:22.
Tarhini A, Hone K, Liu X. Factors Affecting Students’ Acceptance of e-Learning Environments in Developing Countries:A Structural Equation Modeling Approach. Intl J Inf Educ Technol. 2013; : 54-9.
The effect of using the concept-mapping technique and traditional methods on the achievement, retention and attitudes of students: a meta-analytic study. (2015). Journal of Educational Technology, 143-156.
Tjiptono, F., & Chandra, G. (2005). Service, quality, and satisfaction. Yogyakarta: Andi.
Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2011). Using SERVQUAL to assess the quality of e-learning experience. Computers in Human Behavior, 1272–1283.
Uka, A. (2014). Student Satisfaction as an Indicator of Quality in Higher Education. Journal of Educational and Instructional studies, 6-10.
Uriarte, F. A. (2008). Introduction to Knowledge Management. Jakarta: ASEAN Foundation.
Youssef, H., & Mansour, M. (2012). The Effect of Concept Mapping on Students' Learning Achievements and Interests in Taif University. Life Science Journal, 9.
Wangpipatwong, Chutimaskul, Papasratorn. (2008). Understanding Citizen’s Continuance Intention to Use eGovernment Website: a Composite View of Technology Acceptance Model and Computer Self-Efficacy. The electronic journal of e-government, Vol.6, No.1, 55-64.
Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1990). Delivering Service Quality: Balancing Customer Perceptions and Expectations,. New York: Free Press.
Zwaal, W., & Otting, H. (2012). The Impact of Concept Mapping on the Process of Problem-based Learning. Interdisciplinary Journal of Problem-based Learning, 104-128.