000			02780nam a22003137a 4500
003			OSt
005			20250801085809.0
008			250801b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH QA 76.73 _bD44 2025
100			_aDe Guzman, Laurence _eauthor
245			_aA sequential exploratory analysis of ai chatbots in supporting the web development comprehension skills of btvted-cp students/ _cLaurence De Guzman, Gracelle Joyce R. Fabre, John Emmanuel A. Francisco, and Roberto M. Santos.--
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_axiii, 157pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege Of Industrial Education.-- _bBachelor of technical vocational teacher education major in computer programming: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aIn response to the rising demand for web development expertise, educational institutions are seeking innovative strategies to equip students with the skills required in the tech industry. This study addresses this need by focusing on Bachelor of Technical and Vocational Teacher Education Major in Computer Programming (BTVTED-CP) students at the Technological University of the Philippines – Manila. The primary aim is to assess how AI chatbots can aid students with diverse programming backgrounds in overcoming comprehension challenges in web development through real-time feedback and interactive guidance. The study adopts a DBR method approach, starting with qualitative interviews to gather initial insights, followed by iterative testing to improve the researchers’ product and synthesize the evaluation of the chatbot’s impact on learning outcomes. A web-based coding support tool was developed by the researchers and evaluated for usability among both novice and experienced learners. The findings revealed that 82% of students reported improved comprehension of web development concepts after using the AI chatbot, with a 25% average increase. Qualitative analysis highlighted that the chatbot was particularly effective in simplifying complex topics and enhancing learner engagement. The usability evaluation showed an average rating of 4.6 out of 5, indicating high satisfaction with the tool’s design and functionality.
650			_aWeb development comprehension
650			_aAI chatbots
650			_aEducational technology
700			_aFabre, Gracelle Joyce R. _eauthor
700			_aFrancisco, John Emmanuel A. _eauthor
700			_aSantos, Roberto M. _eauthor
942			_2lcc _cBTH CIE _n0
999			_c30613 _d30613